Package com.google.cloud.talent.v4

Interface SearchJobsRequestOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
SearchJobsRequest, SearchJobsRequest.Builder
@Generated public interface SearchJobsRequestOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getParent

      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) = { ... }
      Returns:
      The parent.

    • getParentBytes

      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) = { ... }
      Returns:
      The bytes for parent.

    • getSearchModeValue

      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;
      Returns:
      The enum numeric value on the wire for searchMode.

    • getSearchMode

      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;
      Returns:
      The searchMode.

    • hasRequestMetadata

      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];
      Returns:
      Whether the requestMetadata field is set.

    • getRequestMetadata

      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];
      Returns:
      The requestMetadata.

    • getRequestMetadataOrBuilder

      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];

    • hasJobQuery

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

    • getJobQuery

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

    • getJobQueryOrBuilder

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

    • getEnableBroadening

      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;
      Returns:
      The enableBroadening.

    • getHistogramQueriesList

      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;

    • getHistogramQueries

      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;

    • getHistogramQueriesCount

      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;

    • getHistogramQueriesOrBuilderList

      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;

    • getHistogramQueriesOrBuilder

      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;

    • getJobViewValue

      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;
      Returns:
      The enum numeric value on the wire for jobView.

    • getJobView

      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;
      Returns:
      The jobView.

    • getOffset

      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;
      Returns:
      The offset.

    • getMaxPageSize

      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;
      Returns:
      The maxPageSize.

    • getPageToken

      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;
      Returns:
      The pageToken.

    • getPageTokenBytes

      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;
      Returns:
      The bytes for pageToken.

    • getOrderBy

      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;
      Returns:
      The orderBy.

    • getOrderByBytes

      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;
      Returns:
      The bytes for orderBy.

    • getDiversificationLevelValue

      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;
      Returns:
      The enum numeric value on the wire for diversificationLevel.

    • getDiversificationLevel

      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;
      Returns:
      The diversificationLevel.

    • hasCustomRankingInfo

      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;
      Returns:
      Whether the customRankingInfo field is set.

    • getCustomRankingInfo

      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;
      Returns:
      The customRankingInfo.

    • getCustomRankingInfoOrBuilder

      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;

    • getDisableKeywordMatch

      @Deprecated 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];
      Returns:
      The disableKeywordMatch.

    • getKeywordMatchModeValue

      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;
      Returns:
      The enum numeric value on the wire for keywordMatchMode.

    • getKeywordMatchMode

      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;
      Returns:
      The keywordMatchMode.

    • getRelevanceThresholdValue

      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];
      Returns:
      The enum numeric value on the wire for relevanceThreshold.

    • getRelevanceThreshold

      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];
      Returns:
      The relevanceThreshold.