aws-solutions-constructs.aws-kinesis-firehose-s3-kinesis-analytics 1.165.0

CDK constructs for defining an interaction between an Amazon Kinesis Data Firehose delivery stream and (1) an Amazon S3 bucket, and (2) an Amazon Kinesis Data Analytics application.

aws-kinesisfirehose-s3-and-kinesisanalytics module

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All classes are under active development and subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

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Reference Documentation:	https://docs.aws.amazon.com/solutions/latest/constructs/

Language	Package
Python	aws_solutions_constructs.aws_kinesisfirehose_s3_and_kinesisanalytics
Typescript	@aws-solutions-constructs/aws-kinesisfirehose-s3-and-kinesisanalytics
Java	software.amazon.awsconstructs.services.kinesisfirehoses3kinesisanalytics

Overview

This AWS Solutions Construct implements an Amazon Kinesis Firehose delivery stream connected to an Amazon S3 bucket, and an Amazon Kinesis Analytics application.

Here is a minimal deployable pattern definition:

Typescript

import { Construct } from 'constructs';
import { Stack, StackProps } from 'aws-cdk-lib';
import { KinesisFirehoseToAnalyticsAndS3 } from '@aws-solutions-constructs/aws-kinesisfirehose-s3-and-kinesisanalytics';

new KinesisFirehoseToAnalyticsAndS3(this, 'FirehoseToS3AndAnalyticsPattern', {
  kinesisAnalyticsProps: {
    inputs: [{
      inputSchema: {
        recordColumns: [{
          name: 'ticker_symbol',
          sqlType: 'VARCHAR(4)',
          mapping: '$.ticker_symbol'
        }, {
          name: 'sector',
          sqlType: 'VARCHAR(16)',
          mapping: '$.sector'
        }, {
          name: 'change',
          sqlType: 'REAL',
          mapping: '$.change'
        }, {
          name: 'price',
          sqlType: 'REAL',
          mapping: '$.price'
        }],
        recordFormat: {
          recordFormatType: 'JSON'
        },
        recordEncoding: 'UTF-8'
      },
      namePrefix: 'SOURCE_SQL_STREAM'
    }]
  }
});

Python

from aws_solutions_constructs.aws_kinesis_firehose_s3_kinesis_analytics import KinesisFirehoseToAnalyticsAndS3
from aws_cdk import (
    aws_kinesisanalytics as kinesisanalytics,
    Stack
)
from constructs import Construct

KinesisFirehoseToAnalyticsAndS3(self, 'FirehoseToS3AndAnalyticsPattern',
                                kinesis_analytics_props=kinesisanalytics.CfnApplicationProps(
                                    inputs=[kinesisanalytics.CfnApplication.InputProperty(
                                        input_schema=kinesisanalytics.CfnApplication.InputSchemaProperty(
                                            record_columns=[kinesisanalytics.CfnApplication.RecordColumnProperty(
                                                name='ticker_symbol',
                                                sql_type='VARCHAR(4)',
                                                mapping='$.ticker_symbol'
                                            ), kinesisanalytics.CfnApplication.RecordColumnProperty(
                                                name='sector',
                                                sql_type='VARCHAR(16)',
                                                mapping='$.sector'
                                            ), kinesisanalytics.CfnApplication.RecordColumnProperty(
                                                name='change',
                                                sql_type='REAL',
                                                mapping='$.change'
                                            ), kinesisanalytics.CfnApplication.RecordColumnProperty(
                                                name='price',
                                                sql_type='REAL',
                                                mapping='$.price'
                                            )],
                                            record_format=kinesisanalytics.CfnApplication.RecordFormatProperty(
                                                record_format_type='JSON'
                                            ),
                                            record_encoding='UTF-8'
                                        ),
                                        name_prefix='SOURCE_SQL_STREAM'
                                    )]
                                )
                                )

Java

import software.constructs.Construct;
import java.util.List;

import software.amazon.awscdk.Stack;
import software.amazon.awscdk.StackProps;
import software.amazon.awscdk.services.kinesisanalytics.*;
import software.amazon.awscdk.services.kinesisanalytics.CfnApplication.*;
import software.amazon.awsconstructs.services.kinesisfirehoses3kinesisanalytics.*;

new KinesisFirehoseToAnalyticsAndS3(this, "FirehoseToS3AndAnalyticsPattern",
        new KinesisFirehoseToAnalyticsAndS3Props.Builder()
                .kinesisAnalyticsProps(new CfnApplicationProps.Builder()
                        .inputs(List.of(new InputProperty.Builder()
                                .inputSchema(new InputSchemaProperty.Builder()
                                        .recordColumns(List.of(
                                                new RecordColumnProperty.Builder()
                                                        .name("ticker_symbol")
                                                        .sqlType("VARCHAR(4)")
                                                        .mapping("$.ticker_symbol")
                                                        .build(),
                                                new RecordColumnProperty.Builder()
                                                        .name("sector")
                                                        .sqlType("VARCHAR(16)")
                                                        .mapping("$.sector")
                                                        .build(),
                                                new RecordColumnProperty.Builder()
                                                        .name("change")
                                                        .sqlType("REAL")
                                                        .mapping("$.change")
                                                        .build(),
                                                new RecordColumnProperty.Builder()
                                                        .name("price")
                                                        .sqlType("REAL")
                                                        .mapping("$.price")
                                                        .build()))
                                        .recordFormat(new RecordFormatProperty.Builder()
                                                .recordFormatType("JSON")
                                                .build())
                                        .recordEncoding("UTF-8")
                                        .build())
                                .namePrefix("SOURCE_SQL_STREAM")
                                .build()))
                        .build())
                .build());

Pattern Construct Props

Name	Type	Description
kinesisFirehoseProps?	kinesisFirehose.CfnDeliveryStreamProps	Optional user-provided props to override the default props for the Kinesis Firehose delivery stream.
kinesisAnalyticsProps?	kinesisAnalytics.CfnApplicationProps	Optional user-provided props to override the default props for the Kinesis Analytics application.
existingBucketObj?	s3.IBucket	Existing instance of S3 Bucket object. If this is provided, then also providing bucketProps is an error.
bucketProps?	s3.BucketProps	User provided props to override the default props for the S3 Bucket.
logGroupProps?	logs.LogGroupProps	User provided props to override the default props for for the CloudWatchLogs LogGroup.
loggingBucketProps?	s3.BucketProps	Optional user provided props to override the default props for the S3 Logging Bucket.
logS3AccessLogs?	boolean	Whether to turn on Access Logging for the S3 bucket. Creates an S3 bucket with associated storage costs for the logs. Enabling Access Logging is a best practice. default - true

Pattern Properties

Name	Type	Description
kinesisAnalytics	kinesisAnalytics.CfnApplication	Returns an instance of the Kinesis Analytics application created by the pattern.
kinesisFirehose	kinesisFirehose.CfnDeliveryStream	Returns an instance of the Kinesis Firehose delivery stream created by the pattern.
kinesisFirehoseRole	iam.Role	Returns an instance of the iam.Role created by the construct for Kinesis Data Firehose delivery stream.
kinesisFirehoseLogGroup	logs.LogGroup	Returns an instance of the LogGroup created by the construct for Kinesis Data Firehose delivery stream
s3Bucket?	s3.Bucket	Returns an instance of the S3 bucket created by the pattern.
s3LoggingBucket?	s3.Bucket	Returns an instance of s3.Bucket created by the construct as the logging bucket for the primary bucket.
s3BucketInterface	s3.IBucket	Returns an instance of s3.IBucket created by the construct.

Default settings

Out of the box implementation of the Construct without any override will set the following defaults:

Amazon Kinesis Firehose

• Enable CloudWatch logging for Kinesis Firehose
• Configure least privilege access IAM role for Amazon Kinesis Firehose

Amazon S3 Bucket

• Configure Access logging for S3 Bucket
• Enable server-side encryption for S3 Bucket using AWS managed KMS Key
• Enforce encryption of data in transit
• Turn on the versioning for S3 Bucket
• Don't allow public access for S3 Bucket
• Retain the S3 Bucket when deleting the CloudFormation stack
• Applies Lifecycle rule to move noncurrent object versions to Glacier storage after 90 days

Amazon Kinesis Data Analytics

• Configure least privilege access IAM role for Amazon Kinesis Analytics

Architecture

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