355 lines
16 KiB
C
355 lines
16 KiB
C
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/**
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* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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* SPDX-License-Identifier: Apache-2.0.
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*/
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#pragma once
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#include <aws/kinesisanalyticsv2/KinesisAnalyticsV2_EXPORTS.h>
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#include <aws/core/utils/memory/stl/AWSString.h>
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#include <aws/kinesisanalyticsv2/model/InputProcessingConfiguration.h>
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#include <aws/kinesisanalyticsv2/model/KinesisStreamsInput.h>
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#include <aws/kinesisanalyticsv2/model/KinesisFirehoseInput.h>
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#include <aws/kinesisanalyticsv2/model/InputParallelism.h>
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#include <aws/kinesisanalyticsv2/model/SourceSchema.h>
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#include <utility>
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namespace Aws
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{
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namespace Utils
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{
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namespace Json
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{
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class JsonValue;
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class JsonView;
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} // namespace Json
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} // namespace Utils
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namespace KinesisAnalyticsV2
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{
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namespace Model
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{
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/**
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* <p>When you configure the application input for an SQL-based Amazon Kinesis Data
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* Analytics application, you specify the streaming source, the in-application
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* stream name that is created, and the mapping between the two. </p><p><h3>See
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* Also:</h3> <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/kinesisanalyticsv2-2018-05-23/Input">AWS
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* API Reference</a></p>
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*/
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class AWS_KINESISANALYTICSV2_API Input
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{
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public:
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Input();
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Input(Aws::Utils::Json::JsonView jsonValue);
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Input& operator=(Aws::Utils::Json::JsonView jsonValue);
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Aws::Utils::Json::JsonValue Jsonize() const;
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline const Aws::String& GetNamePrefix() const{ return m_namePrefix; }
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline bool NamePrefixHasBeenSet() const { return m_namePrefixHasBeenSet; }
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline void SetNamePrefix(const Aws::String& value) { m_namePrefixHasBeenSet = true; m_namePrefix = value; }
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline void SetNamePrefix(Aws::String&& value) { m_namePrefixHasBeenSet = true; m_namePrefix = std::move(value); }
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline void SetNamePrefix(const char* value) { m_namePrefixHasBeenSet = true; m_namePrefix.assign(value); }
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline Input& WithNamePrefix(const Aws::String& value) { SetNamePrefix(value); return *this;}
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline Input& WithNamePrefix(Aws::String&& value) { SetNamePrefix(std::move(value)); return *this;}
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/**
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* <p>The name prefix to use when creating an in-application stream. Suppose that
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* you specify a prefix "<code>MyInApplicationStream</code>." Kinesis Data
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* Analytics then creates one or more (as per the <code>InputParallelism</code>
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* count you specified) in-application streams with the names
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* "<code>MyInApplicationStream_001</code>,"
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* "<code>MyInApplicationStream_002</code>," and so on. </p>
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*/
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inline Input& WithNamePrefix(const char* value) { SetNamePrefix(value); return *this;}
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline const InputProcessingConfiguration& GetInputProcessingConfiguration() const{ return m_inputProcessingConfiguration; }
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline bool InputProcessingConfigurationHasBeenSet() const { return m_inputProcessingConfigurationHasBeenSet; }
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline void SetInputProcessingConfiguration(const InputProcessingConfiguration& value) { m_inputProcessingConfigurationHasBeenSet = true; m_inputProcessingConfiguration = value; }
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline void SetInputProcessingConfiguration(InputProcessingConfiguration&& value) { m_inputProcessingConfigurationHasBeenSet = true; m_inputProcessingConfiguration = std::move(value); }
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline Input& WithInputProcessingConfiguration(const InputProcessingConfiguration& value) { SetInputProcessingConfiguration(value); return *this;}
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/**
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* <p>The <a>InputProcessingConfiguration</a> for the input. An input processor
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* transforms records as they are received from the stream, before the
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* application's SQL code executes. Currently, the only input processing
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* configuration available is <a>InputLambdaProcessor</a>. </p>
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*/
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inline Input& WithInputProcessingConfiguration(InputProcessingConfiguration&& value) { SetInputProcessingConfiguration(std::move(value)); return *this;}
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline const KinesisStreamsInput& GetKinesisStreamsInput() const{ return m_kinesisStreamsInput; }
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline bool KinesisStreamsInputHasBeenSet() const { return m_kinesisStreamsInputHasBeenSet; }
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline void SetKinesisStreamsInput(const KinesisStreamsInput& value) { m_kinesisStreamsInputHasBeenSet = true; m_kinesisStreamsInput = value; }
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline void SetKinesisStreamsInput(KinesisStreamsInput&& value) { m_kinesisStreamsInputHasBeenSet = true; m_kinesisStreamsInput = std::move(value); }
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline Input& WithKinesisStreamsInput(const KinesisStreamsInput& value) { SetKinesisStreamsInput(value); return *this;}
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/**
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* <p>If the streaming source is an Amazon Kinesis data stream, identifies the
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* stream's Amazon Resource Name (ARN). </p>
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*/
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inline Input& WithKinesisStreamsInput(KinesisStreamsInput&& value) { SetKinesisStreamsInput(std::move(value)); return *this;}
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline const KinesisFirehoseInput& GetKinesisFirehoseInput() const{ return m_kinesisFirehoseInput; }
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline bool KinesisFirehoseInputHasBeenSet() const { return m_kinesisFirehoseInputHasBeenSet; }
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline void SetKinesisFirehoseInput(const KinesisFirehoseInput& value) { m_kinesisFirehoseInputHasBeenSet = true; m_kinesisFirehoseInput = value; }
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline void SetKinesisFirehoseInput(KinesisFirehoseInput&& value) { m_kinesisFirehoseInputHasBeenSet = true; m_kinesisFirehoseInput = std::move(value); }
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline Input& WithKinesisFirehoseInput(const KinesisFirehoseInput& value) { SetKinesisFirehoseInput(value); return *this;}
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/**
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* <p>If the streaming source is an Amazon Kinesis Data Firehose delivery stream,
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* identifies the delivery stream's ARN.</p>
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*/
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inline Input& WithKinesisFirehoseInput(KinesisFirehoseInput&& value) { SetKinesisFirehoseInput(std::move(value)); return *this;}
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline const InputParallelism& GetInputParallelism() const{ return m_inputParallelism; }
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline bool InputParallelismHasBeenSet() const { return m_inputParallelismHasBeenSet; }
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline void SetInputParallelism(const InputParallelism& value) { m_inputParallelismHasBeenSet = true; m_inputParallelism = value; }
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline void SetInputParallelism(InputParallelism&& value) { m_inputParallelismHasBeenSet = true; m_inputParallelism = std::move(value); }
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline Input& WithInputParallelism(const InputParallelism& value) { SetInputParallelism(value); return *this;}
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/**
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* <p>Describes the number of in-application streams to create. </p>
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*/
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inline Input& WithInputParallelism(InputParallelism&& value) { SetInputParallelism(std::move(value)); return *this;}
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/**
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* <p>Describes the format of the data in the streaming source, and how each data
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* element maps to corresponding columns in the in-application stream that is being
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* created.</p> <p>Also used to describe the format of the reference data
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* source.</p>
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*/
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inline const SourceSchema& GetInputSchema() const{ return m_inputSchema; }
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/**
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* <p>Describes the format of the data in the streaming source, and how each data
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* element maps to corresponding columns in the in-application stream that is being
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* created.</p> <p>Also used to describe the format of the reference data
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* source.</p>
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*/
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inline bool InputSchemaHasBeenSet() const { return m_inputSchemaHasBeenSet; }
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/**
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* <p>Describes the format of the data in the streaming source, and how each data
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* element maps to corresponding columns in the in-application stream that is being
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* created.</p> <p>Also used to describe the format of the reference data
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* source.</p>
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*/
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inline void SetInputSchema(const SourceSchema& value) { m_inputSchemaHasBeenSet = true; m_inputSchema = value; }
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/**
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* <p>Describes the format of the data in the streaming source, and how each data
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* element maps to corresponding columns in the in-application stream that is being
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* created.</p> <p>Also used to describe the format of the reference data
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* source.</p>
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*/
|
|||
|
|
inline void SetInputSchema(SourceSchema&& value) { m_inputSchemaHasBeenSet = true; m_inputSchema = std::move(value); }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>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.</p> <p>Also used to describe the format of the reference data
|
|||
|
|
* source.</p>
|
|||
|
|
*/
|
|||
|
|
inline Input& WithInputSchema(const SourceSchema& value) { SetInputSchema(value); return *this;}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>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.</p> <p>Also used to describe the format of the reference data
|
|||
|
|
* source.</p>
|
|||
|
|
*/
|
|||
|
|
inline Input& WithInputSchema(SourceSchema&& value) { SetInputSchema(std::move(value)); return *this;}
|
|||
|
|
|
|||
|
|
private:
|
|||
|
|
|
|||
|
|
Aws::String m_namePrefix;
|
|||
|
|
bool m_namePrefixHasBeenSet;
|
|||
|
|
|
|||
|
|
InputProcessingConfiguration m_inputProcessingConfiguration;
|
|||
|
|
bool m_inputProcessingConfigurationHasBeenSet;
|
|||
|
|
|
|||
|
|
KinesisStreamsInput m_kinesisStreamsInput;
|
|||
|
|
bool m_kinesisStreamsInputHasBeenSet;
|
|||
|
|
|
|||
|
|
KinesisFirehoseInput m_kinesisFirehoseInput;
|
|||
|
|
bool m_kinesisFirehoseInputHasBeenSet;
|
|||
|
|
|
|||
|
|
InputParallelism m_inputParallelism;
|
|||
|
|
bool m_inputParallelismHasBeenSet;
|
|||
|
|
|
|||
|
|
SourceSchema m_inputSchema;
|
|||
|
|
bool m_inputSchemaHasBeenSet;
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
} // namespace Model
|
|||
|
|
} // namespace KinesisAnalyticsV2
|
|||
|
|
} // namespace Aws
|