Class

com.krux.hyperion.aws

AdpDynamoDBDataNode

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case class AdpDynamoDBDataNode(id: String, name: Option[String], tableName: String, region: Option[String], dynamoDBDataFormat: Option[AdpRef[AdpDataFormat]], readThroughputPercent: Option[String], writeThroughputPercent: Option[String], precondition: Option[Seq[AdpRef[AdpPrecondition]]], onSuccess: Option[Seq[AdpRef[AdpSnsAlarm]]], onFail: Option[Seq[AdpRef[AdpSnsAlarm]]]) extends AdpDataPipelineAbstractObject with AdpDataNode with Product with Serializable

DynamoDB DataNode

tableName

The DynamoDB table.

region

The AWS region where the DynamoDB table exists. It's used by HiveActivity when it performs staging for DynamoDB tables in Hive. For more information, see Using a Pipeline with Resources in Multiple Regions.

dynamoDBDataFormat

Applies a schema to a DynamoDB table to make it accessible by a Hive query.

readThroughputPercent

Sets the rate of read operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

writeThroughputPercent

Sets the rate of write operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

Source
AdpDataNodes.scala
Linear Supertypes
Serializable, Serializable, Product, Equals, AdpDataNode, AdpDataPipelineObject, AdpDataPipelineAbstractObject, AdpObject, AnyRef, Any
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  1. AdpDynamoDBDataNode
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AdpDataNode
  7. AdpDataPipelineObject
  8. AdpDataPipelineAbstractObject
  9. AdpObject
  10. AnyRef
  11. Any
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Instance Constructors

  1. new AdpDynamoDBDataNode(id: String, name: Option[String], tableName: String, region: Option[String], dynamoDBDataFormat: Option[AdpRef[AdpDataFormat]], readThroughputPercent: Option[String], writeThroughputPercent: Option[String], precondition: Option[Seq[AdpRef[AdpPrecondition]]], onSuccess: Option[Seq[AdpRef[AdpSnsAlarm]]], onFail: Option[Seq[AdpRef[AdpSnsAlarm]]])

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    tableName

    The DynamoDB table.

    region

    The AWS region where the DynamoDB table exists. It's used by HiveActivity when it performs staging for DynamoDB tables in Hive. For more information, see Using a Pipeline with Resources in Multiple Regions.

    dynamoDBDataFormat

    Applies a schema to a DynamoDB table to make it accessible by a Hive query.

    readThroughputPercent

    Sets the rate of read operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

    writeThroughputPercent

    Sets the rate of write operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. val dynamoDBDataFormat: Option[AdpRef[AdpDataFormat]]

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    Applies a schema to a DynamoDB table to make it accessible by a Hive query.

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. val id: String

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    The ID of the object, IDs must be unique within a pipeline definition

    The ID of the object, IDs must be unique within a pipeline definition

    Definition Classes
    AdpDynamoDBDataNodeAdpDataPipelineObjectAdpObject
  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  12. val name: Option[String]

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    The optional, user-defined label of the object.

    The optional, user-defined label of the object. If you do not provide a name for an object in a pipeline definition, AWS Data Pipeline automatically duplicates the value of id.

    Definition Classes
    AdpDynamoDBDataNodeAdpDataPipelineObjectAdpDataPipelineAbstractObject
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. val onFail: Option[Seq[AdpRef[AdpSnsAlarm]]]

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    The SNS alarm to raise when the current instance fails.

    The SNS alarm to raise when the current instance fails.

    Definition Classes
    AdpDynamoDBDataNodeAdpDataNode
  17. val onSuccess: Option[Seq[AdpRef[AdpSnsAlarm]]]

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    The SNS alarm to raise when the current instance succeeds.

    The SNS alarm to raise when the current instance succeeds.

    Definition Classes
    AdpDynamoDBDataNodeAdpDataNode
  18. val precondition: Option[Seq[AdpRef[AdpPrecondition]]]

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    A list of precondition objects that must be true for the data node to be valid.

    A list of precondition objects that must be true for the data node to be valid. A data node cannot reach the READY status until all its conditions are met. Preconditions do not have their own schedule or identity, instead they run on the schedule of the activity or data node with which they are associated.

    Definition Classes
    AdpDynamoDBDataNodeAdpDataNode
  19. val readThroughputPercent: Option[String]

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    Sets the rate of read operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table.

    Sets the rate of read operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

  20. val region: Option[String]

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    The AWS region where the DynamoDB table exists.

    The AWS region where the DynamoDB table exists. It's used by HiveActivity when it performs staging for DynamoDB tables in Hive. For more information, see Using a Pipeline with Resources in Multiple Regions.

  21. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  22. val tableName: String

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    The DynamoDB table.

  23. val type: String

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    The type of object.

    The type of object. Use one of the predefined AWS Data Pipeline object types.

    Definition Classes
    AdpDynamoDBDataNodeAdpDataPipelineObject
  24. final def wait(): Unit

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    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. val writeThroughputPercent: Option[String]

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    Sets the rate of write operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table.

    Sets the rate of write operations to keep your DynamoDB provisioned throughput rate in the allocated range for your table. The value is a double between .1 and 1.0, inclusively. For more information, see Specifying Read and Write Requirements for Tables.

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AdpDataNode

Inherited from AdpDataPipelineObject

Inherited from AdpObject

Inherited from AnyRef

Inherited from Any

Ungrouped