Package com.google.cloud.talent.v4

Class SearchJobsRequest.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder>
com.google.cloud.talent.v4.SearchJobsRequest.Builder
All Implemented Interfaces:
SearchJobsRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
SearchJobsRequest
public static final class SearchJobsRequest.Builder extends com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder> implements SearchJobsRequestOrBuilder
 The Request body of the `SearchJobs` call.
Protobuf type google.cloud.talent.v4.SearchJobsRequest

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder>

    • clear

      public SearchJobsRequest.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder>

    • getDefaultInstanceForType

      public SearchJobsRequest getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public SearchJobsRequest build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public SearchJobsRequest buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>

    • mergeFrom

      public SearchJobsRequest.Builder mergeFrom(SearchJobsRequest other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<SearchJobsRequest.Builder>

    • mergeFrom

      public SearchJobsRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SearchJobsRequest.Builder>
      Throws:
      IOException

    • getParent

      public String getParent()
       Required. The resource name of the tenant to search within.

 The format is "projects/{project_id}/tenants/{tenant_id}". For example,
 "projects/foo/tenants/bar".
      string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getParent in interface SearchJobsRequestOrBuilder
      Returns:
      The parent.

    • getParentBytes

      public com.google.protobuf.ByteString getParentBytes()
       Required. The resource name of the tenant to search within.

 The format is "projects/{project_id}/tenants/{tenant_id}". For example,
 "projects/foo/tenants/bar".
      string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getParentBytes in interface SearchJobsRequestOrBuilder
      Returns:
      The bytes for parent.

    • setParent

      public SearchJobsRequest.Builder setParent(String value)
       Required. The resource name of the tenant to search within.

 The format is "projects/{project_id}/tenants/{tenant_id}". For example,
 "projects/foo/tenants/bar".
      string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The parent to set.
      Returns:
      This builder for chaining.

    • clearParent

      public SearchJobsRequest.Builder clearParent()
       Required. The resource name of the tenant to search within.

 The format is "projects/{project_id}/tenants/{tenant_id}". For example,
 "projects/foo/tenants/bar".
      string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Returns:
      This builder for chaining.

    • setParentBytes

      public SearchJobsRequest.Builder setParentBytes(com.google.protobuf.ByteString value)
       Required. The resource name of the tenant to search within.

 The format is "projects/{project_id}/tenants/{tenant_id}". For example,
 "projects/foo/tenants/bar".
      string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The bytes for parent to set.
      Returns:
      This builder for chaining.

    • getSearchModeValue

      public int getSearchModeValue()
       Mode of a search.

 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
      .google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
      Specified by:
      getSearchModeValue in interface SearchJobsRequestOrBuilder
      Returns:
      The enum numeric value on the wire for searchMode.

    • setSearchModeValue

      public SearchJobsRequest.Builder setSearchModeValue(int value)
       Mode of a search.

 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
      .google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
      Parameters:
      value - The enum numeric value on the wire for searchMode to set.
      Returns:
      This builder for chaining.

    • getSearchMode

      public SearchJobsRequest.SearchMode getSearchMode()
       Mode of a search.

 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
      .google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
      Specified by:
      getSearchMode in interface SearchJobsRequestOrBuilder
      Returns:
      The searchMode.

    • setSearchMode

      public SearchJobsRequest.Builder setSearchMode(SearchJobsRequest.SearchMode value)
       Mode of a search.

 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
      .google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
      Parameters:
      value - The searchMode to set.
      Returns:
      This builder for chaining.

    • clearSearchMode

      public SearchJobsRequest.Builder clearSearchMode()
       Mode of a search.

 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
      .google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;
      Returns:
      This builder for chaining.

    • hasRequestMetadata

      public boolean hasRequestMetadata()
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasRequestMetadata in interface SearchJobsRequestOrBuilder
      Returns:
      Whether the requestMetadata field is set.

    • getRequestMetadata

      public RequestMetadata getRequestMetadata()
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getRequestMetadata in interface SearchJobsRequestOrBuilder
      Returns:
      The requestMetadata.

    • setRequestMetadata

      public SearchJobsRequest.Builder setRequestMetadata(RequestMetadata value)
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

    • setRequestMetadata

      public SearchJobsRequest.Builder setRequestMetadata(RequestMetadata.Builder builderForValue)
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

    • mergeRequestMetadata

      public SearchJobsRequest.Builder mergeRequestMetadata(RequestMetadata value)
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

    • clearRequestMetadata

      public SearchJobsRequest.Builder clearRequestMetadata()
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

    • getRequestMetadataBuilder

      public RequestMetadata.Builder getRequestMetadataBuilder()
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

    • getRequestMetadataOrBuilder

      public RequestMetadataOrBuilder getRequestMetadataOrBuilder()
       Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
      .google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getRequestMetadataOrBuilder in interface SearchJobsRequestOrBuilder

    • hasJobQuery

      public boolean hasJobQuery()
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;
      Specified by:
      hasJobQuery in interface SearchJobsRequestOrBuilder
      Returns:
      Whether the jobQuery field is set.

    • getJobQuery

      public JobQuery getJobQuery()
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;
      Specified by:
      getJobQuery in interface SearchJobsRequestOrBuilder
      Returns:
      The jobQuery.

    • setJobQuery

      public SearchJobsRequest.Builder setJobQuery(JobQuery value)
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;

    • setJobQuery

      public SearchJobsRequest.Builder setJobQuery(JobQuery.Builder builderForValue)
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;

    • mergeJobQuery

      public SearchJobsRequest.Builder mergeJobQuery(JobQuery value)
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;

    • clearJobQuery

      public SearchJobsRequest.Builder clearJobQuery()
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;

    • getJobQueryBuilder

      public JobQuery.Builder getJobQueryBuilder()
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;

    • getJobQueryOrBuilder

      public JobQueryOrBuilder getJobQueryOrBuilder()
       Query used to search against jobs, such as keyword, location filters, etc.
      .google.cloud.talent.v4.JobQuery job_query = 4;
      Specified by:
      getJobQueryOrBuilder in interface SearchJobsRequestOrBuilder

    • getEnableBroadening

      public boolean getEnableBroadening()
       Controls whether to broaden the search when it produces sparse results.
 Broadened queries append results to the end of the matching results
 list.

 Defaults to false.
      bool enable_broadening = 5;
      Specified by:
      getEnableBroadening in interface SearchJobsRequestOrBuilder
      Returns:
      The enableBroadening.

    • setEnableBroadening

      public SearchJobsRequest.Builder setEnableBroadening(boolean value)
       Controls whether to broaden the search when it produces sparse results.
 Broadened queries append results to the end of the matching results
 list.

 Defaults to false.
      bool enable_broadening = 5;
      Parameters:
      value - The enableBroadening to set.
      Returns:
      This builder for chaining.

    • clearEnableBroadening

      public SearchJobsRequest.Builder clearEnableBroadening()
       Controls whether to broaden the search when it produces sparse results.
 Broadened queries append results to the end of the matching results
 list.

 Defaults to false.
      bool enable_broadening = 5;
      Returns:
      This builder for chaining.

    • getHistogramQueriesList

      public List<HistogramQuery> getHistogramQueriesList()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;
      Specified by:
      getHistogramQueriesList in interface SearchJobsRequestOrBuilder

    • getHistogramQueriesCount

      public int getHistogramQueriesCount()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;
      Specified by:
      getHistogramQueriesCount in interface SearchJobsRequestOrBuilder

    • getHistogramQueries

      public HistogramQuery getHistogramQueries(int index)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;
      Specified by:
      getHistogramQueries in interface SearchJobsRequestOrBuilder

    • setHistogramQueries

      public SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery value)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • setHistogramQueries

      public SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery.Builder builderForValue)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addHistogramQueries

      public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery value)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addHistogramQueries

      public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery value)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addHistogramQueries

      public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery.Builder builderForValue)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addHistogramQueries

      public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery.Builder builderForValue)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addAllHistogramQueries

      public SearchJobsRequest.Builder addAllHistogramQueries(Iterable<? extends HistogramQuery> values)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • clearHistogramQueries

      public SearchJobsRequest.Builder clearHistogramQueries()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • removeHistogramQueries

      public SearchJobsRequest.Builder removeHistogramQueries(int index)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • getHistogramQueriesBuilder

      public HistogramQuery.Builder getHistogramQueriesBuilder(int index)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • getHistogramQueriesOrBuilder

      public HistogramQueryOrBuilder getHistogramQueriesOrBuilder(int index)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;
      Specified by:
      getHistogramQueriesOrBuilder in interface SearchJobsRequestOrBuilder

    • getHistogramQueriesOrBuilderList

      public List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;
      Specified by:
      getHistogramQueriesOrBuilderList in interface SearchJobsRequestOrBuilder

    • addHistogramQueriesBuilder

      public HistogramQuery.Builder addHistogramQueriesBuilder()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • addHistogramQueriesBuilder

      public HistogramQuery.Builder addHistogramQueriesBuilder(int index)
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • getHistogramQueriesBuilderList

      public List<HistogramQuery.Builder> getHistogramQueriesBuilderList()
       An expression specifies a histogram request against matching jobs.

 Expression syntax is an aggregation function call with histogram facets and
 other options.

 Available aggregation function calls are:
 * `count(string_histogram_facet)`: Count the number of matching entities,
 for each distinct attribute value.
 * `count(numeric_histogram_facet, list of buckets)`: Count the number of
 matching entities within each bucket.

 A maximum of 200 histogram buckets are supported.

 Data types:

 * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].

 Built-in constants:

 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)

 Built-in functions:

 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).

 Job histogram facets:

 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for
 example,
 "FULL_TIME", "PART_TIME".
 * company_size (DEPRECATED): histogram by
 [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL",
 "MEDIUM", "BIG".
 * publish_time_in_day: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in days.
 Must specify list of numeric buckets in spec.
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in months.
 Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 in years.
 Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example,
 "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry
 Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
 placeholder referring to the state, province, or the particular term a
 country uses to define the geographic structure below the country level,
 for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
 example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
 for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
 and longitude), for example, 37.4038522,-122.0987765. Since the
 coordinates of a city center can change, customers may need to refresh
 them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4.Job.language_code], for example,
 "en-US",
 "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4.Job.language_code],
 for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4.JobCategory], for example,
 "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
 [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit]
 of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
 numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
 Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
 Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes].
 Values can be accessed via square bracket notations like
 numeric_custom_attribute["key1"]. Must specify list of numeric buckets to
 group results by.

 Example expressions:

 * `count(admin1)`
 * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000),
 bucket(100000, MAX)])`
 * `count(string_custom_attribute["some-string-custom-attribute"])`
 * `count(numeric_custom_attribute["some-numeric-custom-attribute"],
 [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
      repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

    • getJobViewValue

      public int getJobViewValue()
       The desired job attributes returned for jobs in the search response.
 Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if
 no value is specified.
      .google.cloud.talent.v4.JobView job_view = 8;
      Specified by:
      getJobViewValue in interface SearchJobsRequestOrBuilder
      Returns:
      The enum numeric value on the wire for jobView.

    • setJobViewValue

      public SearchJobsRequest.Builder setJobViewValue(int value)
       The desired job attributes returned for jobs in the search response.
 Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if
 no value is specified.
      .google.cloud.talent.v4.JobView job_view = 8;
      Parameters:
      value - The enum numeric value on the wire for jobView to set.
      Returns:
      This builder for chaining.

    • getJobView

      public JobView getJobView()
       The desired job attributes returned for jobs in the search response.
 Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if
 no value is specified.
      .google.cloud.talent.v4.JobView job_view = 8;
      Specified by:
      getJobView in interface SearchJobsRequestOrBuilder
      Returns:
      The jobView.

    • setJobView

      public SearchJobsRequest.Builder setJobView(JobView value)
       The desired job attributes returned for jobs in the search response.
 Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if
 no value is specified.
      .google.cloud.talent.v4.JobView job_view = 8;
      Parameters:
      value - The jobView to set.
      Returns:
      This builder for chaining.

    • clearJobView

      public SearchJobsRequest.Builder clearJobView()
       The desired job attributes returned for jobs in the search response.
 Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if
 no value is specified.
      .google.cloud.talent.v4.JobView job_view = 8;
      Returns:
      This builder for chaining.

    • getOffset

      public int getOffset()
       An integer that specifies the current offset (that is, starting result
 location, amongst the jobs deemed by the API as relevant) in search
 results. This field is only considered if
 [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset.

 The maximum allowed value is 5000. Otherwise an error is thrown.

 For example, 0 means to  return results starting from the first matching
 job, and 10 means to return from the 11th job. This can be used for
 pagination, (for example, pageSize = 10 and offset = 10 means to return
 from the second page).
      int32 offset = 9;
      Specified by:
      getOffset in interface SearchJobsRequestOrBuilder
      Returns:
      The offset.

    • setOffset

      public SearchJobsRequest.Builder setOffset(int value)
       An integer that specifies the current offset (that is, starting result
 location, amongst the jobs deemed by the API as relevant) in search
 results. This field is only considered if
 [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset.

 The maximum allowed value is 5000. Otherwise an error is thrown.

 For example, 0 means to  return results starting from the first matching
 job, and 10 means to return from the 11th job. This can be used for
 pagination, (for example, pageSize = 10 and offset = 10 means to return
 from the second page).
      int32 offset = 9;
      Parameters:
      value - The offset to set.
      Returns:
      This builder for chaining.

    • clearOffset

      public SearchJobsRequest.Builder clearOffset()
       An integer that specifies the current offset (that is, starting result
 location, amongst the jobs deemed by the API as relevant) in search
 results. This field is only considered if
 [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset.

 The maximum allowed value is 5000. Otherwise an error is thrown.

 For example, 0 means to  return results starting from the first matching
 job, and 10 means to return from the 11th job. This can be used for
 pagination, (for example, pageSize = 10 and offset = 10 means to return
 from the second page).
      int32 offset = 9;
      Returns:
      This builder for chaining.

    • getMaxPageSize

      public int getMaxPageSize()
       A limit on the number of jobs returned in the search results.
 Increasing this value above the default value of 10 can increase search
 response time. The value can be between 1 and 100.
      int32 max_page_size = 10;
      Specified by:
      getMaxPageSize in interface SearchJobsRequestOrBuilder
      Returns:
      The maxPageSize.

    • setMaxPageSize

      public SearchJobsRequest.Builder setMaxPageSize(int value)
       A limit on the number of jobs returned in the search results.
 Increasing this value above the default value of 10 can increase search
 response time. The value can be between 1 and 100.
      int32 max_page_size = 10;
      Parameters:
      value - The maxPageSize to set.
      Returns:
      This builder for chaining.

    • clearMaxPageSize

      public SearchJobsRequest.Builder clearMaxPageSize()
       A limit on the number of jobs returned in the search results.
 Increasing this value above the default value of 10 can increase search
 response time. The value can be between 1 and 100.
      int32 max_page_size = 10;
      Returns:
      This builder for chaining.

    • getPageToken

      public String getPageToken()
       The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
      string page_token = 11;
      Specified by:
      getPageToken in interface SearchJobsRequestOrBuilder
      Returns:
      The pageToken.

    • getPageTokenBytes

      public com.google.protobuf.ByteString getPageTokenBytes()
       The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
      string page_token = 11;
      Specified by:
      getPageTokenBytes in interface SearchJobsRequestOrBuilder
      Returns:
      The bytes for pageToken.

    • setPageToken

      public SearchJobsRequest.Builder setPageToken(String value)
       The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
      string page_token = 11;
      Parameters:
      value - The pageToken to set.
      Returns:
      This builder for chaining.

    • clearPageToken

      public SearchJobsRequest.Builder clearPageToken()
       The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
      string page_token = 11;
      Returns:
      This builder for chaining.

    • setPageTokenBytes

      public SearchJobsRequest.Builder setPageTokenBytes(com.google.protobuf.ByteString value)
       The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
      string page_token = 11;
      Parameters:
      value - The bytes for pageToken to set.
      Returns:
      This builder for chaining.

    • getOrderBy

      public String getOrderBy()
       The criteria determining how search results are sorted. Default is
 `"relevance desc"`.

 Supported options are:

 * `"relevance desc"`: By relevance descending, as determined by the API
 algorithms. Relevance thresholding of query results is only available
 with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
 descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"annualized_total_compensation"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
 [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression]
 with weight factor assigned by
 [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level]
 in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
 `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
 `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
 `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
 multiple locations. See details below.<br>
 `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
 multiple locations. See details below.<br>
 The string can have a maximum of 256 characters. When multiple distance
 centers are provided, a job that is close to any of the distance centers
 would have a high rank. When a job has multiple locations, the job
 location closest to one of the distance centers will be used. Jobs that
 don't have locations will be ranked at the bottom. Distance is calculated
 with a precision of 11.3 meters (37.4 feet). Diversification strategy is
 still applied unless explicitly disabled in
 [diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
      string order_by = 12;
      Specified by:
      getOrderBy in interface SearchJobsRequestOrBuilder
      Returns:
      The orderBy.

    • getOrderByBytes

      public com.google.protobuf.ByteString getOrderByBytes()
       The criteria determining how search results are sorted. Default is
 `"relevance desc"`.

 Supported options are:

 * `"relevance desc"`: By relevance descending, as determined by the API
 algorithms. Relevance thresholding of query results is only available
 with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
 descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"annualized_total_compensation"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
 [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression]
 with weight factor assigned by
 [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level]
 in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
 `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
 `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
 `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
 multiple locations. See details below.<br>
 `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
 multiple locations. See details below.<br>
 The string can have a maximum of 256 characters. When multiple distance
 centers are provided, a job that is close to any of the distance centers
 would have a high rank. When a job has multiple locations, the job
 location closest to one of the distance centers will be used. Jobs that
 don't have locations will be ranked at the bottom. Distance is calculated
 with a precision of 11.3 meters (37.4 feet). Diversification strategy is
 still applied unless explicitly disabled in
 [diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
      string order_by = 12;
      Specified by:
      getOrderByBytes in interface SearchJobsRequestOrBuilder
      Returns:
      The bytes for orderBy.

    • setOrderBy

      public SearchJobsRequest.Builder setOrderBy(String value)
       The criteria determining how search results are sorted. Default is
 `"relevance desc"`.

 Supported options are:

 * `"relevance desc"`: By relevance descending, as determined by the API
 algorithms. Relevance thresholding of query results is only available
 with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
 descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"annualized_total_compensation"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
 [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression]
 with weight factor assigned by
 [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level]
 in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
 `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
 `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
 `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
 multiple locations. See details below.<br>
 `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
 multiple locations. See details below.<br>
 The string can have a maximum of 256 characters. When multiple distance
 centers are provided, a job that is close to any of the distance centers
 would have a high rank. When a job has multiple locations, the job
 location closest to one of the distance centers will be used. Jobs that
 don't have locations will be ranked at the bottom. Distance is calculated
 with a precision of 11.3 meters (37.4 feet). Diversification strategy is
 still applied unless explicitly disabled in
 [diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
      string order_by = 12;
      Parameters:
      value - The orderBy to set.
      Returns:
      This builder for chaining.

    • clearOrderBy

      public SearchJobsRequest.Builder clearOrderBy()
       The criteria determining how search results are sorted. Default is
 `"relevance desc"`.

 Supported options are:

 * `"relevance desc"`: By relevance descending, as determined by the API
 algorithms. Relevance thresholding of query results is only available
 with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
 descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"annualized_total_compensation"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
 [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression]
 with weight factor assigned by
 [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level]
 in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
 `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
 `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
 `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
 multiple locations. See details below.<br>
 `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
 multiple locations. See details below.<br>
 The string can have a maximum of 256 characters. When multiple distance
 centers are provided, a job that is close to any of the distance centers
 would have a high rank. When a job has multiple locations, the job
 location closest to one of the distance centers will be used. Jobs that
 don't have locations will be ranked at the bottom. Distance is calculated
 with a precision of 11.3 meters (37.4 feet). Diversification strategy is
 still applied unless explicitly disabled in
 [diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
      string order_by = 12;
      Returns:
      This builder for chaining.

    • setOrderByBytes

      public SearchJobsRequest.Builder setOrderByBytes(com.google.protobuf.ByteString value)
       The criteria determining how search results are sorted. Default is
 `"relevance desc"`.

 Supported options are:

 * `"relevance desc"`: By relevance descending, as determined by the API
 algorithms. Relevance thresholding of query results is only available
 with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
 descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
 descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
 [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"annualized_total_compensation"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 ascending. Jobs whose annualized base compensation is unspecified are put
 at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
 [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range]
 descending. Jobs whose annualized base compensation is unspecified are
 put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
 [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression]
 with weight factor assigned by
 [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level]
 in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
 `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
 `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
 `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
 multiple locations. See details below.<br>
 `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
 multiple locations. See details below.<br>
 The string can have a maximum of 256 characters. When multiple distance
 centers are provided, a job that is close to any of the distance centers
 would have a high rank. When a job has multiple locations, the job
 location closest to one of the distance centers will be used. Jobs that
 don't have locations will be ranked at the bottom. Distance is calculated
 with a precision of 11.3 meters (37.4 feet). Diversification strategy is
 still applied unless explicitly disabled in
 [diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
      string order_by = 12;
      Parameters:
      value - The bytes for orderBy to set.
      Returns:
      This builder for chaining.

    • getDiversificationLevelValue

      public int getDiversificationLevelValue()
       Controls whether highly similar jobs are returned next to each other in
 the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.

 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
      Specified by:
      getDiversificationLevelValue in interface SearchJobsRequestOrBuilder
      Returns:
      The enum numeric value on the wire for diversificationLevel.

    • setDiversificationLevelValue

      public SearchJobsRequest.Builder setDiversificationLevelValue(int value)
       Controls whether highly similar jobs are returned next to each other in
 the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.

 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
      Parameters:
      value - The enum numeric value on the wire for diversificationLevel to set.
      Returns:
      This builder for chaining.

    • getDiversificationLevel

      public SearchJobsRequest.DiversificationLevel getDiversificationLevel()
       Controls whether highly similar jobs are returned next to each other in
 the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.

 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
      Specified by:
      getDiversificationLevel in interface SearchJobsRequestOrBuilder
      Returns:
      The diversificationLevel.

    • setDiversificationLevel

      public SearchJobsRequest.Builder setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)
       Controls whether highly similar jobs are returned next to each other in
 the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.

 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
      Parameters:
      value - The diversificationLevel to set.
      Returns:
      This builder for chaining.

    • clearDiversificationLevel

      public SearchJobsRequest.Builder clearDiversificationLevel()
       Controls whether highly similar jobs are returned next to each other in
 the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.

 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
      Returns:
      This builder for chaining.

    • hasCustomRankingInfo

      public boolean hasCustomRankingInfo()
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      Specified by:
      hasCustomRankingInfo in interface SearchJobsRequestOrBuilder
      Returns:
      Whether the customRankingInfo field is set.

    • getCustomRankingInfo

      public SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      Specified by:
      getCustomRankingInfo in interface SearchJobsRequestOrBuilder
      Returns:
      The customRankingInfo.

    • setCustomRankingInfo

      public SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

    • setCustomRankingInfo

      public SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

    • mergeCustomRankingInfo

      public SearchJobsRequest.Builder mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

    • clearCustomRankingInfo

      public SearchJobsRequest.Builder clearCustomRankingInfo()
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

    • getCustomRankingInfoBuilder

      public SearchJobsRequest.CustomRankingInfo.Builder getCustomRankingInfoBuilder()
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

    • getCustomRankingInfoOrBuilder

      public SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()
       Controls over how job documents get ranked on top of existing relevance
 score (determined by API algorithm).
      .google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
      Specified by:
      getCustomRankingInfoOrBuilder in interface SearchJobsRequestOrBuilder

    • getDisableKeywordMatch

      @Deprecated public boolean getDisableKeywordMatch()
      Deprecated.
      google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See google/cloud/talent/v4/job_service.proto;l=825
       This field is deprecated. Please use
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 going forward.

 To migrate, disable_keyword_match set to false maps to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
 and disable_keyword_match set to true maps to
 [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
 If
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 is set, this field is ignored.

 Controls whether to disable exact keyword match on
 [Job.title][google.cloud.talent.v4.Job.title],
 [Job.description][google.cloud.talent.v4.Job.description],
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name],
 [Job.addresses][google.cloud.talent.v4.Job.addresses],
 [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When
 disable keyword match is turned off, a keyword match returns jobs that do
 not match given category filters when there are matching keywords. For
 example, for the query "program manager," a result is returned even if the
 job posting has the title "software developer," which doesn't fall into
 "program manager" ontology, but does have "program manager" appearing in
 its description.

 For queries like "cloud" that don't contain title or
 location specific ontology, jobs with "cloud" keyword matches are returned
 regardless of this flag's value.

 Use
 [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes]
 if company-specific globally matched custom field/attribute string values
 are needed. Enabling keyword match improves recall of subsequent search
 requests.

 Defaults to false.
      bool disable_keyword_match = 16 [deprecated = true];
      Specified by:
      getDisableKeywordMatch in interface SearchJobsRequestOrBuilder
      Returns:
      The disableKeywordMatch.

    • setDisableKeywordMatch

      @Deprecated public SearchJobsRequest.Builder setDisableKeywordMatch(boolean value)
      Deprecated.
      google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See google/cloud/talent/v4/job_service.proto;l=825
       This field is deprecated. Please use
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 going forward.

 To migrate, disable_keyword_match set to false maps to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
 and disable_keyword_match set to true maps to
 [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
 If
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 is set, this field is ignored.

 Controls whether to disable exact keyword match on
 [Job.title][google.cloud.talent.v4.Job.title],
 [Job.description][google.cloud.talent.v4.Job.description],
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name],
 [Job.addresses][google.cloud.talent.v4.Job.addresses],
 [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When
 disable keyword match is turned off, a keyword match returns jobs that do
 not match given category filters when there are matching keywords. For
 example, for the query "program manager," a result is returned even if the
 job posting has the title "software developer," which doesn't fall into
 "program manager" ontology, but does have "program manager" appearing in
 its description.

 For queries like "cloud" that don't contain title or
 location specific ontology, jobs with "cloud" keyword matches are returned
 regardless of this flag's value.

 Use
 [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes]
 if company-specific globally matched custom field/attribute string values
 are needed. Enabling keyword match improves recall of subsequent search
 requests.

 Defaults to false.
      bool disable_keyword_match = 16 [deprecated = true];
      Parameters:
      value - The disableKeywordMatch to set.
      Returns:
      This builder for chaining.

    • clearDisableKeywordMatch

      @Deprecated public SearchJobsRequest.Builder clearDisableKeywordMatch()
      Deprecated.
      google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See google/cloud/talent/v4/job_service.proto;l=825
       This field is deprecated. Please use
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 going forward.

 To migrate, disable_keyword_match set to false maps to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL],
 and disable_keyword_match set to true maps to
 [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED].
 If
 [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode]
 is set, this field is ignored.

 Controls whether to disable exact keyword match on
 [Job.title][google.cloud.talent.v4.Job.title],
 [Job.description][google.cloud.talent.v4.Job.description],
 [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name],
 [Job.addresses][google.cloud.talent.v4.Job.addresses],
 [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When
 disable keyword match is turned off, a keyword match returns jobs that do
 not match given category filters when there are matching keywords. For
 example, for the query "program manager," a result is returned even if the
 job posting has the title "software developer," which doesn't fall into
 "program manager" ontology, but does have "program manager" appearing in
 its description.

 For queries like "cloud" that don't contain title or
 location specific ontology, jobs with "cloud" keyword matches are returned
 regardless of this flag's value.

 Use
 [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes]
 if company-specific globally matched custom field/attribute string values
 are needed. Enabling keyword match improves recall of subsequent search
 requests.

 Defaults to false.
      bool disable_keyword_match = 16 [deprecated = true];
      Returns:
      This builder for chaining.

    • getKeywordMatchModeValue

      public int getKeywordMatchModeValue()
       Controls what keyword match options to use. If both keyword_match_mode and
 disable_keyword_match are set, keyword_match_mode will take precedence.

 Defaults to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
      Specified by:
      getKeywordMatchModeValue in interface SearchJobsRequestOrBuilder
      Returns:
      The enum numeric value on the wire for keywordMatchMode.

    • setKeywordMatchModeValue

      public SearchJobsRequest.Builder setKeywordMatchModeValue(int value)
       Controls what keyword match options to use. If both keyword_match_mode and
 disable_keyword_match are set, keyword_match_mode will take precedence.

 Defaults to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
      Parameters:
      value - The enum numeric value on the wire for keywordMatchMode to set.
      Returns:
      This builder for chaining.

    • getKeywordMatchMode

      public SearchJobsRequest.KeywordMatchMode getKeywordMatchMode()
       Controls what keyword match options to use. If both keyword_match_mode and
 disable_keyword_match are set, keyword_match_mode will take precedence.

 Defaults to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
      Specified by:
      getKeywordMatchMode in interface SearchJobsRequestOrBuilder
      Returns:
      The keywordMatchMode.

    • setKeywordMatchMode

      public SearchJobsRequest.Builder setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)
       Controls what keyword match options to use. If both keyword_match_mode and
 disable_keyword_match are set, keyword_match_mode will take precedence.

 Defaults to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
      Parameters:
      value - The keywordMatchMode to set.
      Returns:
      This builder for chaining.

    • clearKeywordMatchMode

      public SearchJobsRequest.Builder clearKeywordMatchMode()
       Controls what keyword match options to use. If both keyword_match_mode and
 disable_keyword_match are set, keyword_match_mode will take precedence.

 Defaults to
 [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL]
 if no value is specified.
      .google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
      Returns:
      This builder for chaining.

    • getRelevanceThresholdValue

      public int getRelevanceThresholdValue()
       Optional. The relevance threshold of the search results.

 Default to Google defined threshold, leveraging a balance of
 precision and recall to deliver both highly accurate results and
 comprehensive coverage of relevant information.
      .google.cloud.talent.v4.SearchJobsRequest.RelevanceThreshold relevance_threshold = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getRelevanceThresholdValue in interface SearchJobsRequestOrBuilder
      Returns:
      The enum numeric value on the wire for relevanceThreshold.

    • setRelevanceThresholdValue

      public SearchJobsRequest.Builder setRelevanceThresholdValue(int value)
       Optional. The relevance threshold of the search results.

 Default to Google defined threshold, leveraging a balance of
 precision and recall to deliver both highly accurate results and
 comprehensive coverage of relevant information.
      .google.cloud.talent.v4.SearchJobsRequest.RelevanceThreshold relevance_threshold = 19 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The enum numeric value on the wire for relevanceThreshold to set.
      Returns:
      This builder for chaining.

    • getRelevanceThreshold

      public SearchJobsRequest.RelevanceThreshold getRelevanceThreshold()
       Optional. The relevance threshold of the search results.

 Default to Google defined threshold, leveraging a balance of
 precision and recall to deliver both highly accurate results and
 comprehensive coverage of relevant information.
      .google.cloud.talent.v4.SearchJobsRequest.RelevanceThreshold relevance_threshold = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getRelevanceThreshold in interface SearchJobsRequestOrBuilder
      Returns:
      The relevanceThreshold.

    • setRelevanceThreshold

      public SearchJobsRequest.Builder setRelevanceThreshold(SearchJobsRequest.RelevanceThreshold value)
       Optional. The relevance threshold of the search results.

 Default to Google defined threshold, leveraging a balance of
 precision and recall to deliver both highly accurate results and
 comprehensive coverage of relevant information.
      .google.cloud.talent.v4.SearchJobsRequest.RelevanceThreshold relevance_threshold = 19 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The relevanceThreshold to set.
      Returns:
      This builder for chaining.

    • clearRelevanceThreshold

      public SearchJobsRequest.Builder clearRelevanceThreshold()
       Optional. The relevance threshold of the search results.

 Default to Google defined threshold, leveraging a balance of
 precision and recall to deliver both highly accurate results and
 comprehensive coverage of relevant information.
      .google.cloud.talent.v4.SearchJobsRequest.RelevanceThreshold relevance_threshold = 19 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.