Package com.amazonaws.services.machinelearning.model

Class CreateDataSourceFromRedshiftRequest

java.lang.Object
com.amazonaws.AmazonWebServiceRequest
com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest
All Implemented Interfaces:
ReadLimitInfo, Serializable, Cloneable
public class CreateDataSourceFromRedshiftRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
See Also:

  • Constructor Details

    • CreateDataSourceFromRedshiftRequest

      public CreateDataSourceFromRedshiftRequest()

  • Method Details

    • setDataSourceId

      public void setDataSourceId(String dataSourceId)

      A user-supplied ID that uniquely identifies the DataSource.

      Parameters:
      dataSourceId - A user-supplied ID that uniquely identifies the DataSource.

    • getDataSourceId

      public String getDataSourceId()

      A user-supplied ID that uniquely identifies the DataSource.

      Returns:
      A user-supplied ID that uniquely identifies the DataSource.

    • withDataSourceId

      public CreateDataSourceFromRedshiftRequest withDataSourceId(String dataSourceId)

      A user-supplied ID that uniquely identifies the DataSource.

      Parameters:
      dataSourceId - A user-supplied ID that uniquely identifies the DataSource.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setDataSourceName

      public void setDataSourceName(String dataSourceName)

      A user-supplied name or description of the DataSource.

      Parameters:
      dataSourceName - A user-supplied name or description of the DataSource .

    • getDataSourceName

      public String getDataSourceName()

      A user-supplied name or description of the DataSource.

      Returns:
      A user-supplied name or description of the DataSource.

    • withDataSourceName

      public CreateDataSourceFromRedshiftRequest withDataSourceName(String dataSourceName)

      A user-supplied name or description of the DataSource.

      Parameters:
      dataSourceName - A user-supplied name or description of the DataSource .
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setDataSpec

      public void setDataSpec(RedshiftDataSpec dataSpec)

      The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema.

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      Parameters:
      dataSpec - The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema.

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

    • getDataSpec

      public RedshiftDataSpec getDataSpec()

      The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema.

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      Returns:
      The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema .

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

    • withDataSpec

      public CreateDataSourceFromRedshiftRequest withDataSpec(RedshiftDataSpec dataSpec)

      The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema.

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      Parameters:
      dataSpec - The data specification of an Amazon Redshift DataSource:

      • DatabaseInformation -

        • DatabaseName - Name of the Amazon Redshift database.
        • ClusterIdentifier - Unique ID for the Amazon Redshift cluster.

      • DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

      • SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.

      • S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.

      • DataSchemaUri - Amazon S3 location of the DataSchema.

      • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

      • DataRearrangement - A JSON string representing the splitting requirement of a Datasource.


        Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setRoleARN

      public void setRoleARN(String roleARN)

      A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

      Parameters:
      roleARN - A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

    • getRoleARN

      public String getRoleARN()

      A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

      Returns:
      A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

    • withRoleARN

      public CreateDataSourceFromRedshiftRequest withRoleARN(String roleARN)

      A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

      Parameters:
      roleARN - A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

      • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

      • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • setComputeStatistics

      public void setComputeStatistics(Boolean computeStatistics)

      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

      Parameters:
      computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

    • getComputeStatistics

      public Boolean getComputeStatistics()

      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

      Returns:
      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

    • withComputeStatistics

      public CreateDataSourceFromRedshiftRequest withComputeStatistics(Boolean computeStatistics)

      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

      Parameters:
      computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • isComputeStatistics

      public Boolean isComputeStatistics()

      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

      Returns:
      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

    • toString

      public String toString()
      Returns a string representation of this object; useful for testing and debugging.
      Overrides:
      toString in class Object
      Returns:
      A string representation of this object.
      See Also:

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object

    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object

    • clone

      public CreateDataSourceFromRedshiftRequest clone()
      Description copied from class: AmazonWebServiceRequest
      Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.
      Overrides:
      clone in class AmazonWebServiceRequest
      See Also: