latest--aws-kinesisanalyticsv2-application

Describes code configuration for an application.

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

Describes execution properties for a Flink-based Kinesis Data Analytics application.

Describes configuration parameters for a Flink-based Kinesis Data Analytics application or a Studio notebook.

Describes the inputs, outputs, and reference data sources for a SQL-based Kinesis Data Analytics application.

The configuration of a Kinesis Data Analytics Studio notebook.

The array of descriptions of VPC configurations available to the application.

Describes the restore behavior of a restarting application.

Describes the starting parameters for a Flink-based Kinesis Data Analytics application.

Specifies how the application should be restored.

The identifier of an existing snapshot of application state to use to restart an application. The application uses this value if RESTORE_FROM_CUSTOM_SNAPSHOT is specified for the ApplicationRestoreType.

When restoring from a snapshot, specifies whether the runtime is allowed to skip a state that cannot be mapped to the new program. Defaults to false. If you update your application without specifying this parameter, AllowNonRestoredState will be set to false, even if it was previously set to true.

Specifies either the application code, or the location of the application code, for a Flink-based Kinesis Data Analytics application.

Specifies whether the code content is in text or zip format.

The zip-format code for a Flink-based Kinesis Data Analytics application.

The location of an application or a custom artifact.

The text-format code for a Flink-based Kinesis Data Analytics application.

The Amazon Resource Name

The file key for the object containing the application code.

The version of the object containing the application code.

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

Describes the execution property groups.

Describes the key of an application execution property key-value pair.

Describes the value of an application execution property key-value pair.

Describes an application's checkpointing configuration. Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation.

Describes configuration parameters for Amazon CloudWatch logging for a Java-based Kinesis Data Analytics application. For more information about CloudWatch logging, see Monitoring.

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation

Describes whether the application uses Kinesis Data Analytics' default checkpointing behavior. You must set this property to CUSTOM in order to set the CheckpointingEnabled, CheckpointInterval, or MinPauseBetweenCheckpoints parameters.

Describes whether checkpointing is enabled for a Flink-based Kinesis Data Analytics application.

Describes the interval in milliseconds between checkpoint operations.

Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start. If a checkpoint operation takes longer than the CheckpointInterval, the application otherwise performs continual checkpoint operations. For more information, see Tuning Checkpointing in the Apache Flink Documentation.

Describes whether to use the default CloudWatch logging configuration for an application. You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.

Describes the granularity of the CloudWatch Logs for an application. The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.

Describes the verbosity of the CloudWatch Logs for an application.

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

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.

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.

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

The array of Input objects describing the input streams used by the application.

The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream". Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names "MyInApplicationStream_001", "MyInApplicationStream_002", and so on.

For a SQL-based Kinesis Data Analytics application, describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

Identifies a Kinesis data stream as the streaming source. You provide the stream's Amazon Resource Name (ARN).

For a SQL-based Kinesis Data Analytics application, identifies a Kinesis Data Firehose delivery stream as the streaming source. You provide the delivery stream's Amazon Resource Name (ARN).

For an SQL-based Amazon Kinesis Data Analytics application, describes a processor that is used to preprocess the records in the stream before being processed by your application code. Currently, the only input processor available is Amazon Lambda.

For a SQL-based Kinesis Data Analytics application, describes the number of in-application streams to create for a given streaming source.

A list of RecordColumn objects.

For a SQL-based Kinesis Data Analytics application, describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

Specifies the encoding of the records in the streaming source. For example, UTF-8.

The name of the column that is created in the in-application input stream or reference table.

The type of column created in the in-application input stream or reference table.

A reference to the data element in the streaming input or the reference data source.

The type of record format.

When you configure a SQL-based Kinesis Data Analytics application's input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when the record format uses delimiters, such as CSV. For example, the following sample records use CSV format, where the records use the '\n' as the row delimiter and a comma (",") as the column delimiter: "name1", "address1" "name2", "address2"

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when JSON is the record format on the streaming source.

The column delimiter. For example, in a CSV format, a comma (",") is the typical column delimiter.

The row delimiter. For example, in a CSV format, '\n' is the typical row delimiter.

The path to the top-level parent that contains the records.

The Amazon Resource Name

The Amazon Resource Name

An object that contains the Amazon Resource Name (ARN) of the Amazon Lambda function that is used to preprocess records in the stream in a SQL-based Kinesis Data Analytics application.

The Amazon Resource Name

The number of in-application streams to create.

The configuration parameters for the default Amazon Glue database. You use this database for SQL queries that you write in a Kinesis Data Analytics Studio notebook.

Describes configuration parameters for Amazon CloudWatch logging for a Kinesis Data Analytics Studio notebook. For more information about CloudWatch logging, see Monitoring.

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

A list of CustomArtifactConfiguration objects.

The configuration of the Glue Data Catalog that you use for Apache Flink SQL queries and table API transforms that you write in an application.

The Amazon Resource Name

The verbosity of the CloudWatch Logs for an application. You can set it to INFO, WARN, ERROR, or DEBUG.

The base location of the Amazon Data Analytics application.

The Amazon Resource Name

The base path for the S3 bucket.

Set this to either UDF or DEPENDENCY_JAR. UDF stands for user-defined functions. This type of artifact must be in an S3 bucket. A DEPENDENCY_JAR can be in either Maven or an S3 bucket.

The information required to specify a Maven reference. You can use Maven references to specify dependency JAR files.

The location of an application or a custom artifact.

The artifact ID of the Maven reference.

The group ID of the Maven reference.

The version of the Maven reference.

The array of SecurityGroup IDs used by the VPC configuration.

The array of Subnet IDs used by the VPC configuration.

The start time for the maintenance window.

The key name of the tag. You can specify a value that's 1 to 128 Unicode characters in length and can't be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

The value for the tag. You can specify a value that's 0 to 256 characters in length.