CfnApplication

class aws_cdk.aws_kinesisanalytics.CfnApplication(scope, id, *, inputs, application_code=None, application_description=None, application_name=None)

Bases: CfnResource

The AWS::KinesisAnalytics::Application resource creates an Amazon Kinesis Data Analytics application.

For more information, see the Amazon Kinesis Data Analytics Developer Guide .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-application.html
CloudformationResource:: AWS::KinesisAnalytics::Application
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

cfn_application = kinesisanalytics.CfnApplication(self, "MyCfnApplication",
    inputs=[kinesisanalytics.CfnApplication.InputProperty(
        input_schema=kinesisanalytics.CfnApplication.InputSchemaProperty(
            record_columns=[kinesisanalytics.CfnApplication.RecordColumnProperty(
                name="name",
                sql_type="sqlType",

                # the properties below are optional
                mapping="mapping"
            )],
            record_format=kinesisanalytics.CfnApplication.RecordFormatProperty(
                record_format_type="recordFormatType",

                # the properties below are optional
                mapping_parameters=kinesisanalytics.CfnApplication.MappingParametersProperty(
                    csv_mapping_parameters=kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
                        record_column_delimiter="recordColumnDelimiter",
                        record_row_delimiter="recordRowDelimiter"
                    ),
                    json_mapping_parameters=kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
                        record_row_path="recordRowPath"
                    )
                )
            ),

            # the properties below are optional
            record_encoding="recordEncoding"
        ),
        name_prefix="namePrefix",

        # the properties below are optional
        input_parallelism=kinesisanalytics.CfnApplication.InputParallelismProperty(
            count=123
        ),
        input_processing_configuration=kinesisanalytics.CfnApplication.InputProcessingConfigurationProperty(
            input_lambda_processor=kinesisanalytics.CfnApplication.InputLambdaProcessorProperty(
                resource_arn="resourceArn",
                role_arn="roleArn"
            )
        ),
        kinesis_firehose_input=kinesisanalytics.CfnApplication.KinesisFirehoseInputProperty(
            resource_arn="resourceArn",
            role_arn="roleArn"
        ),
        kinesis_streams_input=kinesisanalytics.CfnApplication.KinesisStreamsInputProperty(
            resource_arn="resourceArn",
            role_arn="roleArn"
        )
    )],

    # the properties below are optional
    application_code="applicationCode",
    application_description="applicationDescription",
    application_name="applicationName"
)

Parameters:

scope (Construct) – Scope in which this resource is defined.
id (str) – Construct identifier for this resource (unique in its scope).
inputs (Union[IResolvable, Sequence[Union[IResolvable, InputProperty, Dict[str, Any]]]]) – Use this parameter to configure the application input. You can configure your application to receive input from a single streaming source. In this configuration, you map this streaming source to an in-application stream that is created. Your application code can then query the in-application stream like a table (you can think of it as a constantly updating table). For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for example, JSON, CSV, etc.). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this stream on your behalf. To create the in-application stream, you need to specify a schema to transform your data into a schematized version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming source to record columns in the in-app stream.
application_code (Optional[str]) – One or more SQL statements that read input data, transform it, and generate output. For example, you can write a SQL statement that reads data from one in-application stream, generates a running average of the number of advertisement clicks by vendor, and insert resulting rows in another in-application stream using pumps. For more information about the typical pattern, see Application Code . You can provide such series of SQL statements, where output of one statement can be used as the input for the next statement. You store intermediate results by creating in-application streams and pumps. Note that the application code must create the streams with names specified in the Outputs . For example, if your Outputs defines output streams named ExampleOutputStream1 and ExampleOutputStream2 , then your application code must create these streams.
application_description (Optional[str]) – Summary description of the application.
application_name (Optional[str]) – Name of your Amazon Kinesis Analytics application (for example, sample-app ).

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:: path (str) – The path of the value to delete.
Return type:: None

add_dependency(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

add_depends_on(target)

(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

Parameters:

target (CfnResource) –

Deprecated:

use addDependency

Stability:

deprecated

Return type:

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:

key (str) –
value (Any) –

See:

Return type:

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
  "GlobalSecondaryIndexes": [
    {
      "Projection": {
        "NonKeyAttributes": [ "myattribute" ]
        ...
      }
      ...
    },
    {
      "ProjectionType": "INCLUDE"
      ...
    },
  ]
  ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters:

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:: property_path (str) – The path to the property.
Return type:: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:

property_path (str) – The path of the property.
value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:

Parameters:

policy (Optional[RemovalPolicy]) –
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.

See:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options

Return type:

None

get_att(attribute_name, type_hint=None)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters:

attribute_name (str) – The name of the attribute.
type_hint (Optional[ResolutionTypeHint]) –

Return type:

Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:

key (str) –

See:

Return type:

Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters:: inspector (TreeInspector) – tree inspector to collect and process attributes.
Return type:: None

obtain_dependencies()

Retrieves an array of resources this resource depends on.

This assembles dependencies on resources across stacks (including nested stacks) automatically.

Return type:: List[Union[Stack, CfnResource]]

obtain_resource_dependencies()

Get a shallow copy of dependencies between this resource and other resources in the same stack.

Return type:: List[CfnResource]

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:: new_logical_id (str) – The new logical ID to use for this stack element.
Return type:: None

remove_dependency(target)

Indicates that this resource no longer depends on another resource.

This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

replace_dependency(target, new_target)

Replaces one dependency with another.

Parameters:

target (CfnResource) – The dependency to replace.
new_target (CfnResource) – The new dependency to add.

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str
Returns:: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::KinesisAnalytics::Application'

application_code: One or more SQL statements that read input data, transform it, and generate output.

application_description: Summary description of the application.

application_name: Name of your Amazon Kinesis Analytics application (for example, sample-app ).

attr_id

Id

Type:: cloudformationAttribute

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

inputs: Use this parameter to configure the application input.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The tree node.

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:

x (Any) –

Return type:

bool

Returns:

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(x)

Check whether the given object is a CfnResource.

Parameters:

x (Any) –

Return type:

bool

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

CSVMappingParametersProperty

class CfnApplication.CSVMappingParametersProperty(*, record_column_delimiter, record_row_delimiter)

Bases: object

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"

Parameters:

record_column_delimiter (str) – Column delimiter. For example, in a CSV format, a comma (“,”) is the typical column delimiter.
record_row_delimiter (str) – Row delimiter. For example, in a CSV format, ‘n’ is the typical row delimiter.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-csvmappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

c_sVMapping_parameters_property = kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
    record_column_delimiter="recordColumnDelimiter",
    record_row_delimiter="recordRowDelimiter"
)

Attributes

record_column_delimiter

Column delimiter.

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

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-csvmappingparameters.html#cfn-kinesisanalytics-application-csvmappingparameters-recordcolumndelimiter

record_row_delimiter

Row delimiter.

For example, in a CSV format, ‘n’ is the typical row delimiter.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-csvmappingparameters.html#cfn-kinesisanalytics-application-csvmappingparameters-recordrowdelimiter

InputLambdaProcessorProperty

class CfnApplication.InputLambdaProcessorProperty(*, resource_arn, role_arn)

Bases: object

An object that contains the Amazon Resource Name (ARN) of the AWS Lambda function that is used to preprocess records in the stream, and the ARN of the IAM role that is used to access the AWS Lambda function.

Parameters:

resource_arn (str) –
The ARN of the AWS Lambda function that operates on records in the stream. .. epigraph:: To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: AWS Lambda
role_arn (str) – The ARN of the IAM role that is used to access the AWS Lambda function.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

input_lambda_processor_property = kinesisanalytics.CfnApplication.InputLambdaProcessorProperty(
    resource_arn="resourceArn",
    role_arn="roleArn"
)

Attributes

resource_arn

//docs.aws.amazon.com/lambda/>`_ function that operates on records in the stream.

To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: AWS Lambda

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html#cfn-kinesisanalytics-application-inputlambdaprocessor-resourcearn
Type:: The ARN of the `AWS Lambda <https

role_arn

The ARN of the IAM role that is used to access the AWS Lambda function.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html#cfn-kinesisanalytics-application-inputlambdaprocessor-rolearn

InputParallelismProperty

class CfnApplication.InputParallelismProperty(*, count=None)

Bases: object

Describes the number of in-application streams to create for a given streaming source.

For information about parallelism, see Configuring Application Input .

Parameters:: count (Union[int, float, None]) – Number of in-application streams to create. For more information, see Limits .
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputparallelism.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

input_parallelism_property = kinesisanalytics.CfnApplication.InputParallelismProperty(
    count=123
)

Attributes

count

Number of in-application streams to create.

For more information, see Limits .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputparallelism.html#cfn-kinesisanalytics-application-inputparallelism-count

InputProcessingConfigurationProperty

class CfnApplication.InputProcessingConfigurationProperty(*, input_lambda_processor=None)

Bases: object

Provides a description of 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 AWS Lambda .

Parameters:: input_lambda_processor (Union[IResolvable, InputLambdaProcessorProperty, Dict[str, Any], None]) – The InputLambdaProcessor that is used to preprocess the records in the stream before being processed by your application code.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputprocessingconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

input_processing_configuration_property = kinesisanalytics.CfnApplication.InputProcessingConfigurationProperty(
    input_lambda_processor=kinesisanalytics.CfnApplication.InputLambdaProcessorProperty(
        resource_arn="resourceArn",
        role_arn="roleArn"
    )
)

Attributes

input_lambda_processor

//docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html>`_ that is used to preprocess the records in the stream before being processed by your application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputprocessingconfiguration.html#cfn-kinesisanalytics-application-inputprocessingconfiguration-inputlambdaprocessor
Type:: The `InputLambdaProcessor <https

InputProperty

class CfnApplication.InputProperty(*, input_schema, name_prefix, input_parallelism=None, input_processing_configuration=None, kinesis_firehose_input=None, kinesis_streams_input=None)

Bases: object

When you configure the application input, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

For more information, see Configuring Application Input .

Parameters:

input_schema (Union[IResolvable, InputSchemaProperty, Dict[str, Any]]) – Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created. Also used to describe the format of the reference data source.
name_prefix (str) – Name prefix to use when creating an in-application stream. Suppose that you specify a prefix “MyInApplicationStream.” Amazon Kinesis Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with names “MyInApplicationStream_001,” “MyInApplicationStream_002,” and so on.
input_parallelism (Union[IResolvable, InputParallelismProperty, Dict[str, Any], None]) –
Describes the number of in-application streams to create. Data from your source is routed to these in-application input streams. See Configuring Application Input .
input_processing_configuration (Union[IResolvable, InputProcessingConfigurationProperty, Dict[str, Any], None]) –
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor .
kinesis_firehose_input (Union[IResolvable, KinesisFirehoseInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the delivery stream’s ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf. Note: Either KinesisStreamsInput or KinesisFirehoseInput is required.
kinesis_streams_input (Union[IResolvable, KinesisStreamsInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis stream, identifies the stream’s Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf. Note: Either KinesisStreamsInput or KinesisFirehoseInput is required.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

input_property = kinesisanalytics.CfnApplication.InputProperty(
    input_schema=kinesisanalytics.CfnApplication.InputSchemaProperty(
        record_columns=[kinesisanalytics.CfnApplication.RecordColumnProperty(
            name="name",
            sql_type="sqlType",

            # the properties below are optional
            mapping="mapping"
        )],
        record_format=kinesisanalytics.CfnApplication.RecordFormatProperty(
            record_format_type="recordFormatType",

            # the properties below are optional
            mapping_parameters=kinesisanalytics.CfnApplication.MappingParametersProperty(
                csv_mapping_parameters=kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
                    record_column_delimiter="recordColumnDelimiter",
                    record_row_delimiter="recordRowDelimiter"
                ),
                json_mapping_parameters=kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
                    record_row_path="recordRowPath"
                )
            )
        ),

        # the properties below are optional
        record_encoding="recordEncoding"
    ),
    name_prefix="namePrefix",

    # the properties below are optional
    input_parallelism=kinesisanalytics.CfnApplication.InputParallelismProperty(
        count=123
    ),
    input_processing_configuration=kinesisanalytics.CfnApplication.InputProcessingConfigurationProperty(
        input_lambda_processor=kinesisanalytics.CfnApplication.InputLambdaProcessorProperty(
            resource_arn="resourceArn",
            role_arn="roleArn"
        )
    ),
    kinesis_firehose_input=kinesisanalytics.CfnApplication.KinesisFirehoseInputProperty(
        resource_arn="resourceArn",
        role_arn="roleArn"
    ),
    kinesis_streams_input=kinesisanalytics.CfnApplication.KinesisStreamsInputProperty(
        resource_arn="resourceArn",
        role_arn="roleArn"
    )
)

Attributes

input_parallelism

Describes the number of in-application streams to create.

Data from your source is routed to these in-application input streams.

See Configuring Application Input .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-inputparallelism

input_processing_configuration

//docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputlambdaprocessor.html>`_ .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-inputprocessingconfiguration
Type:: The `InputProcessingConfiguration <https
Type:: //docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputprocessingconfiguration.html>`_ for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is `InputLambdaProcessor <https

input_schema

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-inputschema

kinesis_firehose_input

If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the delivery stream’s ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.

Note: Either KinesisStreamsInput or KinesisFirehoseInput is required.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-kinesisfirehoseinput

kinesis_streams_input

If the streaming source is an Amazon Kinesis stream, identifies the stream’s Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.

Note: Either KinesisStreamsInput or KinesisFirehoseInput is required.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-kinesisstreamsinput

name_prefix

Name prefix to use when creating an in-application stream.

Suppose that you specify a prefix “MyInApplicationStream.” Amazon Kinesis Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with names “MyInApplicationStream_001,” “MyInApplicationStream_002,” and so on.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-input.html#cfn-kinesisanalytics-application-input-nameprefix

InputSchemaProperty

class CfnApplication.InputSchemaProperty(*, record_columns, record_format, record_encoding=None)

Bases: object

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.

Parameters:

record_columns (Union[IResolvable, Sequence[Union[IResolvable, RecordColumnProperty, Dict[str, Any]]]]) – A list of RecordColumn objects.
record_format (Union[IResolvable, RecordFormatProperty, Dict[str, Any]]) – Specifies the format of the records on the streaming source.
record_encoding (Optional[str]) – Specifies the encoding of the records in the streaming source. For example, UTF-8.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputschema.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

input_schema_property = kinesisanalytics.CfnApplication.InputSchemaProperty(
    record_columns=[kinesisanalytics.CfnApplication.RecordColumnProperty(
        name="name",
        sql_type="sqlType",

        # the properties below are optional
        mapping="mapping"
    )],
    record_format=kinesisanalytics.CfnApplication.RecordFormatProperty(
        record_format_type="recordFormatType",

        # the properties below are optional
        mapping_parameters=kinesisanalytics.CfnApplication.MappingParametersProperty(
            csv_mapping_parameters=kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
                record_column_delimiter="recordColumnDelimiter",
                record_row_delimiter="recordRowDelimiter"
            ),
            json_mapping_parameters=kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
                record_row_path="recordRowPath"
            )
        )
    ),

    # the properties below are optional
    record_encoding="recordEncoding"
)

Attributes

record_columns

A list of RecordColumn objects.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputschema.html#cfn-kinesisanalytics-application-inputschema-recordcolumns

record_encoding

Specifies the encoding of the records in the streaming source.

For example, UTF-8.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputschema.html#cfn-kinesisanalytics-application-inputschema-recordencoding

record_format

Specifies the format of the records on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-inputschema.html#cfn-kinesisanalytics-application-inputschema-recordformat

JSONMappingParametersProperty

class CfnApplication.JSONMappingParametersProperty(*, record_row_path)

Bases: object

Provides additional mapping information when JSON is the record format on the streaming source.

Parameters:: record_row_path (str) – Path to the top-level parent that contains the records.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-jsonmappingparameters.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

j_sONMapping_parameters_property = kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
    record_row_path="recordRowPath"
)

Attributes

record_row_path

Path to the top-level parent that contains the records.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-jsonmappingparameters.html#cfn-kinesisanalytics-application-jsonmappingparameters-recordrowpath

KinesisFirehoseInputProperty

class CfnApplication.KinesisFirehoseInputProperty(*, resource_arn, role_arn)

Bases: object

Identifies an Amazon Kinesis Firehose delivery stream as the streaming source.

You provide the delivery stream’s Amazon Resource Name (ARN) and an IAM role ARN that enables Amazon Kinesis Analytics to access the stream on your behalf.

Parameters:

resource_arn (str) – ARN of the input delivery stream.
role_arn (str) – ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf. You need to make sure that the role has the necessary permissions to access the stream.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisfirehoseinput.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

kinesis_firehose_input_property = kinesisanalytics.CfnApplication.KinesisFirehoseInputProperty(
    resource_arn="resourceArn",
    role_arn="roleArn"
)

Attributes

resource_arn

ARN of the input delivery stream.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisfirehoseinput.html#cfn-kinesisanalytics-application-kinesisfirehoseinput-resourcearn

role_arn

ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf.

You need to make sure that the role has the necessary permissions to access the stream.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisfirehoseinput.html#cfn-kinesisanalytics-application-kinesisfirehoseinput-rolearn

KinesisStreamsInputProperty

class CfnApplication.KinesisStreamsInputProperty(*, resource_arn, role_arn)

Bases: object

Identifies an Amazon Kinesis stream as the streaming source.

You provide the stream’s Amazon Resource Name (ARN) and an IAM role ARN that enables Amazon Kinesis Analytics to access the stream on your behalf.

Parameters:

resource_arn (str) – ARN of the input Amazon Kinesis stream to read.
role_arn (str) – ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf. You need to grant the necessary permissions to this role.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisstreamsinput.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

kinesis_streams_input_property = kinesisanalytics.CfnApplication.KinesisStreamsInputProperty(
    resource_arn="resourceArn",
    role_arn="roleArn"
)

Attributes

resource_arn

ARN of the input Amazon Kinesis stream to read.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisstreamsinput.html#cfn-kinesisanalytics-application-kinesisstreamsinput-resourcearn

role_arn

ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf.

You need to grant the necessary permissions to this role.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-kinesisstreamsinput.html#cfn-kinesisanalytics-application-kinesisstreamsinput-rolearn

MappingParametersProperty

class CfnApplication.MappingParametersProperty(*, csv_mapping_parameters=None, json_mapping_parameters=None)

Bases: object

When configuring application 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.

Parameters:

csv_mapping_parameters (Union[IResolvable, CSVMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when the record format uses delimiters (for example, CSV).
json_mapping_parameters (Union[IResolvable, JSONMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when JSON is the record format on the streaming source.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-mappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

mapping_parameters_property = kinesisanalytics.CfnApplication.MappingParametersProperty(
    csv_mapping_parameters=kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
        record_column_delimiter="recordColumnDelimiter",
        record_row_delimiter="recordRowDelimiter"
    ),
    json_mapping_parameters=kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
        record_row_path="recordRowPath"
    )
)

Attributes

csv_mapping_parameters

Provides additional mapping information when the record format uses delimiters (for example, CSV).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-mappingparameters.html#cfn-kinesisanalytics-application-mappingparameters-csvmappingparameters

json_mapping_parameters

Provides additional mapping information when JSON is the record format on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-mappingparameters.html#cfn-kinesisanalytics-application-mappingparameters-jsonmappingparameters

RecordColumnProperty

class CfnApplication.RecordColumnProperty(*, name, sql_type, mapping=None)

Bases: object

Describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

Parameters:

name (str) – Name of the column created in the in-application input stream or reference table.
sql_type (str) – Type of column created in the in-application input stream or reference table.
mapping (Optional[str]) – Reference to the data element in the streaming input or the reference data source. This element is required if the RecordFormatType is JSON .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordcolumn.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

record_column_property = kinesisanalytics.CfnApplication.RecordColumnProperty(
    name="name",
    sql_type="sqlType",

    # the properties below are optional
    mapping="mapping"
)

Attributes

mapping

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

This element is required if the RecordFormatType is JSON .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordcolumn.html#cfn-kinesisanalytics-application-recordcolumn-mapping

name

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

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordcolumn.html#cfn-kinesisanalytics-application-recordcolumn-name

sql_type

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

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordcolumn.html#cfn-kinesisanalytics-application-recordcolumn-sqltype

RecordFormatProperty

class CfnApplication.RecordFormatProperty(*, record_format_type, mapping_parameters=None)

Bases: object

Describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

Parameters:

record_format_type (str) – The type of record format.
mapping_parameters (Union[IResolvable, MappingParametersProperty, Dict[str, Any], None]) – When configuring application 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.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordformat.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_kinesisanalytics as kinesisanalytics

record_format_property = kinesisanalytics.CfnApplication.RecordFormatProperty(
    record_format_type="recordFormatType",

    # the properties below are optional
    mapping_parameters=kinesisanalytics.CfnApplication.MappingParametersProperty(
        csv_mapping_parameters=kinesisanalytics.CfnApplication.CSVMappingParametersProperty(
            record_column_delimiter="recordColumnDelimiter",
            record_row_delimiter="recordRowDelimiter"
        ),
        json_mapping_parameters=kinesisanalytics.CfnApplication.JSONMappingParametersProperty(
            record_row_path="recordRowPath"
        )
    )
)

Attributes

mapping_parameters

When configuring application 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.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordformat.html#cfn-kinesisanalytics-application-recordformat-mappingparameters

record_format_type

The type of record format.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalytics-application-recordformat.html#cfn-kinesisanalytics-application-recordformat-recordformattype