t

com.holdenkarau.spark.testing

StreamingSuiteBase

trait StreamingSuiteBase extends BeforeAndAfterAll with Logging with StreamingSuiteCommon with SharedSparkContext

This is the base trait for Spark Streaming testsuites. This provides basic functionality to run user-defined set of input on user-defined stream operations, and verify the output.

Self Type
StreamingSuiteBase with Suite
Linear Supertypes
SharedSparkContext, StreamingSuiteCommon, SparkContextProvider, Logging, Logging, BeforeAndAfterAll, SuiteMixin, AnyRef, Any
Known Subclasses
StreamingActionBase
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. StreamingSuiteBase
  2. SharedSparkContext
  3. StreamingSuiteCommon
  4. SparkContextProvider
  5. Logging
  6. Logging
  7. BeforeAndAfterAll
  8. SuiteMixin
  9. AnyRef
  10. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def expectedTestCount(filter: Filter): Int
    Definition Classes
    SuiteMixin
  2. abstract def nestedSuites: IndexedSeq[Suite]
    Definition Classes
    SuiteMixin
  3. abstract def rerunner: Option[String]
    Definition Classes
    SuiteMixin
  4. abstract def runNestedSuites(args: Args): Status
    Attributes
    protected
    Definition Classes
    SuiteMixin
  5. abstract def runTest(testName: String, args: Args): Status
    Attributes
    protected
    Definition Classes
    SuiteMixin
  6. abstract def runTests(testName: Option[String], args: Args): Status
    Attributes
    protected
    Definition Classes
    SuiteMixin
  7. abstract def suiteId: String
    Definition Classes
    SuiteMixin
  8. abstract def suiteName: String
    Definition Classes
    SuiteMixin
  9. abstract def tags: Map[String, Set[String]]
    Definition Classes
    SuiteMixin
  10. abstract def testDataFor(testName: String, theConfigMap: ConfigMap): TestData
    Definition Classes
    SuiteMixin
  11. abstract def testNames: Set[String]
    Definition Classes
    SuiteMixin
  12. abstract val styleName: String
    Definition Classes
    SuiteMixin
    Annotations
    @deprecated
    Deprecated

    (Since version 3.1.0) The styleName lifecycle method has been deprecated and will be removed in a future version of ScalaTest with no replacement.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def actuallyWait: Boolean
    Definition Classes
    StreamingSuiteCommon
  5. def afterAll(): Unit
    Definition Classes
    StreamingSuiteBase → SharedSparkContext → BeforeAndAfterAll
  6. def appID: String
    Definition Classes
    SparkContextProvider
  7. def appName: String
    Definition Classes
    SparkContextProvider
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. def batchDuration: Duration
    Definition Classes
    StreamingSuiteCommon
  10. def beforeAll(): Unit
    Definition Classes
    StreamingSuiteBase → SharedSparkContext → BeforeAndAfterAll
  11. lazy val checkpointDir: String
    Definition Classes
    StreamingSuiteCommon
  12. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @IntrinsicCandidate()
  13. def conf: SparkConf
    Definition Classes
    StreamingSuiteCommon → SparkContextProvider
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. val eventuallyTimeout: Timeout
    Definition Classes
    StreamingSuiteCommon
  17. def framework: String
    Definition Classes
    StreamingSuiteCommon
  18. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  19. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  20. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  21. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  22. val invokeBeforeAllAndAfterAllEvenIfNoTestsAreExpected: Boolean
    Definition Classes
    BeforeAndAfterAll
  23. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  24. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  25. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  26. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  27. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  30. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  33. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def master: String
    Definition Classes
    StreamingSuiteCommon
  38. def maxWaitTimeMillis: Int
    Definition Classes
    StreamingSuiteCommon
  39. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  40. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  41. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  42. def numInputPartitions: Int
    Definition Classes
    StreamingSuiteCommon
  43. implicit def reuseContextIfPossible: Boolean
    Attributes
    protected
    Definition Classes
    SharedSparkContext
  44. def run(testName: Option[String], args: Args): Status
    Definition Classes
    BeforeAndAfterAll → SuiteMixin
  45. def sc: SparkContext
    Definition Classes
    SharedSparkContext → SparkContextProvider
  46. 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
  47. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  48. def testOperation[U, V, W](input1: Seq[Seq[U]], input2: Seq[Seq[V]], operation: (DStream[U], DStream[V]) ⇒ DStream[W], expectedOutput: Seq[Seq[W]], ordered: Boolean)(implicit arg0: ClassTag[U], arg1: ClassTag[V], arg2: ClassTag[W], equality: Equality[W]): Unit

    Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values.

    Test binary DStream operation with two lists of inputs, with number of batches to run same as the number of input values. The size of the two input lists should be the same.

    Each input micro-batch is a list of values or as null to simulate empty batch.

    input1

    First sequence of input collections

    input2

    Second sequence of input collections

    operation

    Binary DStream operation to be applied to the 2 inputs

    expectedOutput

    Sequence of expected output collections

    ordered

    Compare output values with expected output values within the same output batch ordered or unOrdered. Comparing doubles may not work well in case of unordered.

  49. def testOperation[U, V](input: Seq[Seq[U]], operation: (DStream[U]) ⇒ DStream[V], expectedOutput: Seq[Seq[V]], ordered: Boolean)(implicit arg0: ClassTag[U], arg1: ClassTag[V], equality: Equality[V]): Unit

    Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values.

    Test unary DStream operation with a list of inputs, with number of batches to run same as the number of input values.

    Each input micro-batch is a list of values or as null to simulate empty batch.

    input

    Sequence of input collections

    operation

    Binary DStream operation to be applied to the 2 inputs

    expectedOutput

    Sequence of expected output collections

    ordered

    Compare output values with expected output values within the same output batch ordered or unordered. Comparing doubles may not work well in case of unordered.

  50. def testOperation[U, V, W](input1: Seq[Seq[U]], input2: Seq[Seq[V]], operation: (DStream[U], DStream[V]) ⇒ DStream[W], expectedOutput: Seq[Seq[W]])(implicit arg0: ClassTag[U], arg1: ClassTag[V], arg2: ClassTag[W], equality: Equality[W]): Unit
  51. def testOperation[U, V](input: Seq[Seq[U]], operation: (DStream[U]) ⇒ DStream[V], expectedOutput: Seq[Seq[V]])(implicit arg0: ClassTag[U], arg1: ClassTag[V], equality: Equality[V]): Unit
  52. def testOperationWithRDD[U, V, W](input1: Seq[Seq[U]], input2: Seq[V], operation: (DStream[U], RDD[V]) ⇒ DStream[W], expectedOutput: Seq[Seq[W]], ordered: Boolean)(implicit arg0: ClassTag[U], arg1: ClassTag[V], arg2: ClassTag[W], equality: Equality[W]): Unit

    Test binary DStream and RDD operation with two lists of inputs, with number of batches to run same as the number of input values corresponding to the DStream.

    Test binary DStream and RDD operation with two lists of inputs, with number of batches to run same as the number of input values corresponding to the DStream.

    Each input micro-batch is a list of values or as null to simulate empty batch.

    input1

    Sequence of input collections corresponding to the DStream

    input2

    Sequence of input values corresponding to the RDD

    operation

    Binary DStream and RDD operation to be applied to the 2 inputs

    expectedOutput

    Sequence of expected output collections

    ordered

    Compare output values with expected output values within the same output batch ordered or unOrdered. Comparing doubles may not work well in case of unordered.

  53. def toString(): String
    Definition Classes
    AnyRef → Any
  54. def useManualClock: Boolean
    Definition Classes
    StreamingSuiteCommon
  55. def verifyOutput[V](output: Seq[Seq[V]], expectedOutput: Seq[Seq[V]], ordered: Boolean)(implicit arg0: ClassTag[V], equality: Equality[V]): Unit

    Verify whether the output values after running a DStream operation is same as the expected output values, by comparing the output collections either as lists (order matters) or sets (order does not matter)

    Verify whether the output values after running a DStream operation is same as the expected output values, by comparing the output collections either as lists (order matters) or sets (order does not matter)

    ordered

    Compare output values with expected output values within the same output batch ordered or unordered. Comparing doubles may not work well in case of unordered.

  56. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  57. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  58. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from SharedSparkContext

Inherited from StreamingSuiteCommon

Inherited from SparkContextProvider

Inherited from Logging

Inherited from Logging

Inherited from BeforeAndAfterAll

Inherited from SuiteMixin

Inherited from AnyRef

Inherited from Any

Ungrouped