Packages

case class WriteConf(batchSize: BatchSize = BatchSize.Automatic, batchGroupingBufferSize: Int = ..., batchGroupingKey: BatchGroupingKey = WriteConf.BatchLevelParam.default, consistencyLevel: ConsistencyLevel = ..., ifNotExists: Boolean = WriteConf.IfNotExistsParam.default, ignoreNulls: Boolean = WriteConf.IgnoreNullsParam.default, parallelismLevel: Int = ..., throughputMiBPS: Option[Double] = ..., ttl: TTLOption = TTLOption.defaultValue, timestamp: TimestampOption = TimestampOption.defaultValue, taskMetricsEnabled: Boolean = WriteConf.TaskMetricsParam.default, executeAs: Option[String] = None) extends Product with Serializable

Write settings for RDD

batchSize

approx. number of bytes to be written in a single batch or exact number of rows to be written in a single batch;

batchGroupingBufferSize

the number of distinct batches that can be buffered before they are written to Cassandra

batchGroupingKey

which rows can be grouped into a single batch

consistencyLevel

consistency level for writes, default LOCAL_QUORUM

ifNotExists

inserting a row should happen only if it does not already exist

parallelismLevel

number of batches to be written in parallel

ttl

the default TTL value which is used when it is defined (in seconds)

timestamp

the default timestamp value which is used when it is defined (in microseconds)

taskMetricsEnabled

whether or not enable task metrics updates (requires Spark 1.2+)

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Instance Constructors

  1. new WriteConf(batchSize: BatchSize = BatchSize.Automatic, batchGroupingBufferSize: Int = ..., batchGroupingKey: BatchGroupingKey = WriteConf.BatchLevelParam.default, consistencyLevel: ConsistencyLevel = ..., ifNotExists: Boolean = WriteConf.IfNotExistsParam.default, ignoreNulls: Boolean = WriteConf.IgnoreNullsParam.default, parallelismLevel: Int = ..., throughputMiBPS: Option[Double] = ..., ttl: TTLOption = TTLOption.defaultValue, timestamp: TimestampOption = TimestampOption.defaultValue, taskMetricsEnabled: Boolean = WriteConf.TaskMetricsParam.default, executeAs: Option[String] = None)

    batchSize

    approx. number of bytes to be written in a single batch or exact number of rows to be written in a single batch;

    batchGroupingBufferSize

    the number of distinct batches that can be buffered before they are written to Cassandra

    batchGroupingKey

    which rows can be grouped into a single batch

    consistencyLevel

    consistency level for writes, default LOCAL_QUORUM

    ifNotExists

    inserting a row should happen only if it does not already exist

    parallelismLevel

    number of batches to be written in parallel

    ttl

    the default TTL value which is used when it is defined (in seconds)

    timestamp

    the default timestamp value which is used when it is defined (in microseconds)

    taskMetricsEnabled

    whether or not enable task metrics updates (requires Spark 1.2+)

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. val batchGroupingBufferSize: Int
  6. val batchGroupingKey: BatchGroupingKey
  7. val batchSize: BatchSize
  8. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. val consistencyLevel: ConsistencyLevel
  10. final def eq(arg0: AnyRef): Boolean
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  11. val executeAs: Option[String]
  12. final def getClass(): Class[_]
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  13. val ifNotExists: Boolean
  14. val ignoreNulls: Boolean
  15. final def isInstanceOf[T0]: Boolean
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  16. final def ne(arg0: AnyRef): Boolean
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  17. final def notify(): Unit
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  18. final def notifyAll(): Unit
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  19. val parallelismLevel: Int
  20. final def synchronized[T0](arg0: ⇒ T0): T0
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  21. val taskMetricsEnabled: Boolean
  22. val throttlingEnabled: Boolean
  23. val throughputMiBPS: Option[Double]
  24. val timestamp: TimestampOption
  25. val ttl: TTLOption
  26. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  27. final def wait(arg0: Long): Unit
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  28. final def wait(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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