AWS Kinesis Data Analytics Analytics Application
This page shows how to write Terraform and CloudFormation for Kinesis Data Analytics Analytics Application and write them securely.
aws_kinesis_analytics_application (Terraform)
The Analytics Application in Kinesis Data Analytics can be configured in Terraform with the resource name aws_kinesis_analytics_application
. The following sections describe 5 examples of how to use the resource and its parameters.
Example Usage from GitHub
resource "aws_kinesis_analytics_application" "withUsage" {
name = "kinesis-analytics-application-test"
}
resource "aws_kinesis_analytics_application" "withoutUsage" {
name = "kinesis-analytics-application-test"
resource "aws_kinesis_analytics_application" "withUsage" {
name = "kinesis-analytics-application-test"
}
resource "aws_kinesis_analytics_application" "withoutUsage" {
name = "kinesis-analytics-application-test"
resource "aws_kinesis_analytics_application" "application" {
name = var.kinesis_analytics_app_name
code = var.sql_code
inputs {
name_prefix = var.name_prefix
resource "aws_kinesis_analytics_application" "transaction_rate_monitor" {
name = "tf-transaction_rate_monitor"
code = file("create_sql_streams.sql")
inputs {
name_prefix = "SOURCE_SQL_STREAM"
resource "aws_kinesis_analytics_application" "kinesis_sql_streaming_application" {
name = "sql-streaming-application"
# Define the SOURCE of the application
inputs {
Parameters
-
arn
optional computed - string -
code
optional - string -
create_timestamp
optional computed - string -
description
optional - string -
id
optional computed - string -
last_update_timestamp
optional computed - string -
name
required - string -
start_application
optional - bool -
status
optional computed - string -
tags
optional - map from string to string -
version
optional computed - number -
cloudwatch_logging_options
list block-
id
optional computed - string -
log_stream_arn
required - string -
role_arn
required - string
-
-
inputs
list block-
id
optional computed - string -
name_prefix
required - string -
stream_names
optional computed - list of string -
kinesis_firehose
list block-
resource_arn
required - string -
role_arn
required - string
-
-
kinesis_stream
list block-
resource_arn
required - string -
role_arn
required - string
-
-
parallelism
list block-
count
optional computed - number
-
-
processing_configuration
list block-
lambda
list block-
resource_arn
required - string -
role_arn
required - string
-
-
-
schema
list block-
record_encoding
optional - string -
record_columns
list block -
record_format
list block-
record_format_type
optional computed - string -
mapping_parameters
list block-
csv
list block-
record_column_delimiter
required - string -
record_row_delimiter
required - string
-
-
json
list block-
record_row_path
required - string
-
-
-
-
-
starting_position_configuration
list block-
starting_position
optional computed - string
-
-
-
outputs
set block-
id
optional computed - string -
name
required - string -
kinesis_firehose
list block-
resource_arn
required - string -
role_arn
required - string
-
-
kinesis_stream
list block-
resource_arn
required - string -
role_arn
required - string
-
-
lambda
list block-
resource_arn
required - string -
role_arn
required - string
-
-
schema
list block-
record_format_type
required - string
-
-
-
reference_data_sources
list block-
id
optional computed - string -
table_name
required - string -
s3
list block-
bucket_arn
required - string -
file_key
required - string -
role_arn
required - string
-
-
schema
list block-
record_encoding
optional - string -
record_columns
list block -
record_format
list block-
record_format_type
optional computed - string -
mapping_parameters
list block-
csv
list block-
record_column_delimiter
required - string -
record_row_delimiter
required - string
-
-
json
list block-
record_row_path
required - string
-
-
-
-
-
Explanation in Terraform Registry
Provides a Kinesis Analytics Application resource. Kinesis Analytics is a managed service that allows processing and analyzing streaming data using standard SQL. For more details, see the [Amazon Kinesis Analytics Documentation][1]. -> Note: To manage Amazon Kinesis Data Analytics for Apache Flink applications, use the
aws_kinesisanalyticsv2_application
resource.
AWS::KinesisAnalytics::Application (CloudFormation)
The Application in KinesisAnalytics can be configured in CloudFormation with the resource name AWS::KinesisAnalytics::Application
. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
-
ApplicationName
optional - String -
Inputs
required - List of Input -
ApplicationDescription
optional - String -
ApplicationCode
optional - String
Explanation in CloudFormation Registry
The
AWS::KinesisAnalytics::Application
resource creates an Amazon Kinesis Data Analytics application. For more information, see the Amazon Kinesis Data Analytics Developer Guide.
Frequently asked questions
What is AWS Kinesis Data Analytics Analytics Application?
AWS Kinesis Data Analytics Analytics Application is a resource for Kinesis Data Analytics of Amazon Web Service. Settings can be wrote in Terraform and CloudFormation.
Where can I find the example code for the AWS Kinesis Data Analytics Analytics Application?
For Terraform, the gilyas/infracost, infracost/infracost and ashkan3/demo-streaming-app source code examples are useful. See the Terraform Example section for further details.