@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateApplicationRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
TBD
NOOP
Constructor and Description |
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CreateApplicationRequest() |
Modifier and Type | Method and Description |
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CreateApplicationRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
|
boolean |
equals(Object obj) |
String |
getApplicationCode()
One or more SQL statements that read input data, transform it, and generate output.
|
String |
getApplicationDescription()
Summary description of the application.
|
String |
getApplicationName()
Name of your Amazon Kinesis Analytics application (for example,
sample-app ). |
List<CloudWatchLoggingOption> |
getCloudWatchLoggingOptions()
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors.
|
List<Input> |
getInputs()
Use this parameter to configure the application input.
|
List<Output> |
getOutputs()
You can configure application output to write data from any of the in-application streams to up to five
destinations.
|
int |
hashCode() |
void |
setApplicationCode(String applicationCode)
One or more SQL statements that read input data, transform it, and generate output.
|
void |
setApplicationDescription(String applicationDescription)
Summary description of the application.
|
void |
setApplicationName(String applicationName)
Name of your Amazon Kinesis Analytics application (for example,
sample-app ). |
void |
setCloudWatchLoggingOptions(Collection<CloudWatchLoggingOption> cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors.
|
void |
setInputs(Collection<Input> inputs)
Use this parameter to configure the application input.
|
void |
setOutputs(Collection<Output> outputs)
You can configure application output to write data from any of the in-application streams to up to five
destinations.
|
String |
toString()
Returns a string representation of this object; useful for testing and debugging.
|
CreateApplicationRequest |
withApplicationCode(String applicationCode)
One or more SQL statements that read input data, transform it, and generate output.
|
CreateApplicationRequest |
withApplicationDescription(String applicationDescription)
Summary description of the application.
|
CreateApplicationRequest |
withApplicationName(String applicationName)
Name of your Amazon Kinesis Analytics application (for example,
sample-app ). |
CreateApplicationRequest |
withCloudWatchLoggingOptions(CloudWatchLoggingOption... cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors.
|
CreateApplicationRequest |
withCloudWatchLoggingOptions(Collection<CloudWatchLoggingOption> cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors.
|
CreateApplicationRequest |
withInputs(Collection<Input> inputs)
Use this parameter to configure the application input.
|
CreateApplicationRequest |
withInputs(Input... inputs)
Use this parameter to configure the application input.
|
CreateApplicationRequest |
withOutputs(Collection<Output> outputs)
You can configure application output to write data from any of the in-application streams to up to five
destinations.
|
CreateApplicationRequest |
withOutputs(Output... outputs)
You can configure application output to write data from any of the in-application streams to up to five
destinations.
|
addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public void setApplicationName(String applicationName)
Name of your Amazon Kinesis Analytics application (for example, sample-app
).
applicationName
- Name of your Amazon Kinesis Analytics application (for example, sample-app
).public String getApplicationName()
Name of your Amazon Kinesis Analytics application (for example, sample-app
).
sample-app
).public CreateApplicationRequest withApplicationName(String applicationName)
Name of your Amazon Kinesis Analytics application (for example, sample-app
).
applicationName
- Name of your Amazon Kinesis Analytics application (for example, sample-app
).public void setApplicationDescription(String applicationDescription)
Summary description of the application.
applicationDescription
- Summary description of the application.public String getApplicationDescription()
Summary description of the application.
public CreateApplicationRequest withApplicationDescription(String applicationDescription)
Summary description of the application.
applicationDescription
- Summary description of the application.public List<Input> getInputs()
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.
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.
public void setInputs(Collection<Input> inputs)
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.
inputs
- 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.
public CreateApplicationRequest withInputs(Input... inputs)
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.
NOTE: This method appends the values to the existing list (if any). Use
setInputs(java.util.Collection)
or withInputs(java.util.Collection)
if you want to override the
existing values.
inputs
- 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.
public CreateApplicationRequest withInputs(Collection<Input> inputs)
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.
inputs
- 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.
public List<Output> getOutputs()
You can configure application output to write data from any of the in-application streams to up to five destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
public void setOutputs(Collection<Output> outputs)
You can configure application output to write data from any of the in-application streams to up to five destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
outputs
- You can configure application output to write data from any of the in-application streams to up to five
destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
public CreateApplicationRequest withOutputs(Output... outputs)
You can configure application output to write data from any of the in-application streams to up to five destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
NOTE: This method appends the values to the existing list (if any). Use
setOutputs(java.util.Collection)
or withOutputs(java.util.Collection)
if you want to override
the existing values.
outputs
- You can configure application output to write data from any of the in-application streams to up to five
destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
public CreateApplicationRequest withOutputs(Collection<Output> outputs)
You can configure application output to write data from any of the in-application streams to up to five destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
outputs
- You can configure application output to write data from any of the in-application streams to up to five
destinations.
These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf.
In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can assume to write to this stream on your behalf.
public List<CloudWatchLoggingOption> getCloudWatchLoggingOptions()
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For more information, see Working with Amazon CloudWatch Logs.
public void setCloudWatchLoggingOptions(Collection<CloudWatchLoggingOption> cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For more information, see Working with Amazon CloudWatch Logs.
cloudWatchLoggingOptions
- Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For
more information, see Working with Amazon
CloudWatch Logs.public CreateApplicationRequest withCloudWatchLoggingOptions(CloudWatchLoggingOption... cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For more information, see Working with Amazon CloudWatch Logs.
NOTE: This method appends the values to the existing list (if any). Use
setCloudWatchLoggingOptions(java.util.Collection)
or
withCloudWatchLoggingOptions(java.util.Collection)
if you want to override the existing values.
cloudWatchLoggingOptions
- Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For
more information, see Working with Amazon
CloudWatch Logs.public CreateApplicationRequest withCloudWatchLoggingOptions(Collection<CloudWatchLoggingOption> cloudWatchLoggingOptions)
Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For more information, see Working with Amazon CloudWatch Logs.
cloudWatchLoggingOptions
- Use this parameter to configure a CloudWatch log stream to monitor application configuration errors. For
more information, see Working with Amazon
CloudWatch Logs.public void setApplicationCode(String applicationCode)
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 inforamtion 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.
applicationCode
- 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 inforamtion 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.
public String getApplicationCode()
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 inforamtion 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.
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.
public CreateApplicationRequest withApplicationCode(String applicationCode)
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 inforamtion 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.
applicationCode
- 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 inforamtion 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.
public String toString()
toString
in class Object
Object.toString()
public CreateApplicationRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()
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