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AWS::KinesisAnalyticsV2::Application ParallelismConfiguration
Describes parameters for how a Flink-based Kinesis Data Analytics application executes
multiple tasks simultaneously. For more information about parallelism, see Parallel Execution
Syntax
To declare this entity in your CloudFormation template, use the following syntax:
JSON
{ "AutoScalingEnabled" :Boolean, "ConfigurationType" :String, "Parallelism" :Integer, "ParallelismPerKPU" :Integer}
YAML
AutoScalingEnabled:BooleanConfigurationType:StringParallelism:IntegerParallelismPerKPU:Integer
Properties
AutoScalingEnabled-
Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.
Required: No
Type: Boolean
Update requires: No interruption
ConfigurationType-
Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service. You must set this property to
CUSTOMin order to change your application'sAutoScalingEnabled,Parallelism, orParallelismPerKPUproperties.Required: Yes
Type: String
Allowed values:
CUSTOM | DEFAULTUpdate requires: No interruption
Parallelism-
Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to
true.Required: No
Type: Integer
Minimum:
1Update requires: No interruption
ParallelismPerKPU-
Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing
. Required: No
Type: Integer
Minimum:
1Update requires: No interruption
See also
-
ParallelismConfiguration in the Amazon Kinesis Data Analytics API Reference