trait DatasetSuiteBaseLike extends DataFrameSuiteBaseLike
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Abstract Value Members
- abstract def assert[U](message: String, expected: U, actual: U)(implicit CT: ClassTag[U]): Unit
- Definition Classes
- TestSuiteLike
- abstract def assert[U](expected: U, actual: U)(implicit CT: ClassTag[U]): Unit
- Definition Classes
- TestSuiteLike
- abstract def assertEmpty[U](arr: Array[U])(implicit CT: ClassTag[U]): Unit
- Definition Classes
- TestSuiteLike
- abstract def assertTrue(expected: Boolean): Unit
- Definition Classes
- TestSuiteLike
- abstract def fail(message: String): Unit
- Definition Classes
- TestSuiteLike
- abstract def sc: SparkContext
- Definition Classes
- SparkContextProvider
Concrete Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def appID: String
- Definition Classes
- SparkContextProvider
- def approxEquals(r1: Row, r2: Row, tol: Double): Boolean
- Definition Classes
- DataFrameSuiteBaseLike
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def assertDataFrameApproximateEquals(expected: DataFrame, result: DataFrame, tol: Double): Unit
Compares if two DataFrames are equal, checks that the schemas are the same.
Compares if two DataFrames are equal, checks that the schemas are the same. When comparing inexact fields uses tol.
- tol
max acceptable tolerance, should be less than 1.
- Definition Classes
- DataFrameSuiteBaseLike
- def assertDataFrameDataEquals(expected: DataFrame, result: DataFrame): Unit
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other.
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other. The resulting DataFrame should be empty inferring the two DataFrames have the same elements. Does not compare the schema.
- Definition Classes
- DataFrameSuiteBaseLike
- def assertDataFrameEquals(expected: DataFrame, result: DataFrame): Unit
Compares if two DataFrames are equal, checks the schema and then if that matches checks if the rows are equal.
Compares if two DataFrames are equal, checks the schema and then if that matches checks if the rows are equal.
- Definition Classes
- DataFrameSuiteBaseLike
- def assertDataFrameNoOrderEquals(expected: DataFrame, result: DataFrame): Unit
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other.
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other. The resulting DataFrame should be empty inferring the two DataFrames have the same elements. Also verifies that the schema is identical.
- Definition Classes
- DataFrameSuiteBaseLike
- def assertDatasetApproximateEquals[U](expected: Dataset[U], result: Dataset[U], tol: Double)(implicit UCT: ClassTag[U]): Unit
Compares if two Datasets are equal, Datasets should have the same type.
Compares if two Datasets are equal, Datasets should have the same type. When comparing inexact fields uses tol.
- tol
max acceptable tolerance, should be less than 1.
- def assertDatasetEquals[U](expected: Dataset[U], result: Dataset[U])(implicit UCT: ClassTag[U]): Unit
Check if two Datasets are equals, Datasets should have the same type.
Check if two Datasets are equals, Datasets should have the same type. This method could be customized by overriding equals method for the given class type.
- def assertSchemasEqual(expected: StructType, result: StructType): Unit
Compare if two schemas are equal, ignoring autoGeneratedAlias magic
Compare if two schemas are equal, ignoring autoGeneratedAlias magic
- Definition Classes
- DataFrameSuiteBaseLike
- def assertSmallDataFrameDataEquals(expected: DataFrame, result: DataFrame): Unit
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other.
Compares if two DataFrames are equal without caring about order of rows, by finding elements in one DataFrame that is not in the other. Similar to the function assertDataFrameDataEquals but for small DataFrame that can be collected in memory for the comparison.
- Definition Classes
- DataFrameSuiteBaseLike
- def builder(): Builder
Constructs a configuration for hive or iceberg, where the metastore is located in a temp directory.
Constructs a configuration for hive or iceberg, where the metastore is located in a temp directory.
- Definition Classes
- DataFrameSuiteBaseLike
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def conf: SparkConf
- Definition Classes
- SparkContextProvider
- def enableHiveSupport: Boolean
- Attributes
- protected
- Definition Classes
- DataFrameSuiteBaseLike
- def enableIcebergSupport: Boolean
- Attributes
- protected
- Definition Classes
- DataFrameSuiteBaseLike
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- val icebergWarehouse: String
- Definition Classes
- DataFrameSuiteBaseLike
- implicit def impSqlContext: SQLContext
- Attributes
- protected
- Definition Classes
- DataFrameSuiteBaseLike
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- lazy val localMetastorePath: String
- Definition Classes
- DataFrameSuiteBaseLike
- lazy val localWarehousePath: String
- Definition Classes
- DataFrameSuiteBaseLike
- val maxUnequalRowsToShow: Int
- Definition Classes
- DataFrameSuiteBaseLike
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def setup(sc: SparkContext): Unit
Setup work to be called when creating a new SparkContext.
Setup work to be called when creating a new SparkContext. Default implementation currently sets a checkpoint directory.
This _should_ be called by the context provider automatically.
- Definition Classes
- SparkContextProvider
- lazy val spark: SparkSession
- Definition Classes
- DataFrameSuiteBaseLike
- Annotations
- @transient()
- def sqlBeforeAllTestCases(): Unit
- Definition Classes
- DataFrameSuiteBaseLike
- lazy val sqlContext: SQLContext
- Definition Classes
- DataFrameSuiteBaseLike
- Annotations
- @transient()
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- lazy val tempDir: File
- Definition Classes
- DataFrameSuiteBaseLike
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated