* A user-supplied ID that uniquely identifies the DataSource.
*
* A user-supplied name or description of the DataSource.
*
* The data specification of an Amazon Redshift DataSource:
*
* DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the * Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The
* data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
* 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
*
* 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.
*
* A user-supplied ID that uniquely identifies the DataSource.
*
DataSource.
*/
public void setDataSourceId(String dataSourceId) {
this.dataSourceId = dataSourceId;
}
/**
*
* A user-supplied ID that uniquely identifies the DataSource.
*
DataSource.
*/
public String getDataSourceId() {
return this.dataSourceId;
}
/**
*
* A user-supplied ID that uniquely identifies the DataSource.
*
DataSource.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateDataSourceFromRedshiftRequest withDataSourceId(String dataSourceId) {
setDataSourceId(dataSourceId);
return this;
}
/**
*
* A user-supplied name or description of the DataSource.
*
DataSource.
*/
public void setDataSourceName(String dataSourceName) {
this.dataSourceName = dataSourceName;
}
/**
*
* A user-supplied name or description of the DataSource.
*
DataSource.
*/
public String getDataSourceName() {
return this.dataSourceName;
}
/**
*
* A user-supplied name or description of the DataSource.
*
DataSource.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateDataSourceFromRedshiftRequest withDataSourceName(String dataSourceName) {
setDataSourceName(dataSourceName);
return this;
}
/**
*
* The data specification of an Amazon Redshift DataSource:
*
* DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the * Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The
* data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
DataSource:
* * DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to * the Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift
* data. The data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in
* this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
* The data specification of an Amazon Redshift DataSource:
*
* DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the * Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The
* data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
DataSource:
* * DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect * to the Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift
* data. The data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in
* this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
* The data specification of an Amazon Redshift DataSource:
*
* DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the * Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The
* data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
DataSource:
* * DatabaseInformation - *
*
* DatabaseName - The name of the Amazon Redshift database.
*
* ClusterIdentifier - The unique ID for the Amazon Redshift cluster.
*
* DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to * the Amazon Redshift database. *
*
* SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.
*
* S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift
* data. The data retrieved from Amazon Redshift using the SelectSqlQuery query is stored in
* this location.
*
* DataSchemaUri - The 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 that represents the splitting and rearrangement requirements for the
* DataSource.
*
* Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
*
* 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
*
* 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
*
* 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
*
* 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
*
* 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
*
* 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
*
* 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.
*
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.
*/
public void setComputeStatistics(Boolean computeStatistics) {
this.computeStatistics = 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.
*
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.
*/
public Boolean getComputeStatistics() {
return this.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.
*
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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateDataSourceFromRedshiftRequest withComputeStatistics(Boolean computeStatistics) {
setComputeStatistics(computeStatistics);
return this;
}
/**
*
* 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.
*
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.
*/
public Boolean isComputeStatistics() {
return this.computeStatistics;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getDataSourceId() != null)
sb.append("DataSourceId: ").append(getDataSourceId()).append(",");
if (getDataSourceName() != null)
sb.append("DataSourceName: ").append(getDataSourceName()).append(",");
if (getDataSpec() != null)
sb.append("DataSpec: ").append(getDataSpec()).append(",");
if (getRoleARN() != null)
sb.append("RoleARN: ").append(getRoleARN()).append(",");
if (getComputeStatistics() != null)
sb.append("ComputeStatistics: ").append(getComputeStatistics());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof CreateDataSourceFromRedshiftRequest == false)
return false;
CreateDataSourceFromRedshiftRequest other = (CreateDataSourceFromRedshiftRequest) obj;
if (other.getDataSourceId() == null ^ this.getDataSourceId() == null)
return false;
if (other.getDataSourceId() != null && other.getDataSourceId().equals(this.getDataSourceId()) == false)
return false;
if (other.getDataSourceName() == null ^ this.getDataSourceName() == null)
return false;
if (other.getDataSourceName() != null && other.getDataSourceName().equals(this.getDataSourceName()) == false)
return false;
if (other.getDataSpec() == null ^ this.getDataSpec() == null)
return false;
if (other.getDataSpec() != null && other.getDataSpec().equals(this.getDataSpec()) == false)
return false;
if (other.getRoleARN() == null ^ this.getRoleARN() == null)
return false;
if (other.getRoleARN() != null && other.getRoleARN().equals(this.getRoleARN()) == false)
return false;
if (other.getComputeStatistics() == null ^ this.getComputeStatistics() == null)
return false;
if (other.getComputeStatistics() != null && other.getComputeStatistics().equals(this.getComputeStatistics()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getDataSourceId() == null) ? 0 : getDataSourceId().hashCode());
hashCode = prime * hashCode + ((getDataSourceName() == null) ? 0 : getDataSourceName().hashCode());
hashCode = prime * hashCode + ((getDataSpec() == null) ? 0 : getDataSpec().hashCode());
hashCode = prime * hashCode + ((getRoleARN() == null) ? 0 : getRoleARN().hashCode());
hashCode = prime * hashCode + ((getComputeStatistics() == null) ? 0 : getComputeStatistics().hashCode());
return hashCode;
}
@Override
public CreateDataSourceFromRedshiftRequest clone() {
return (CreateDataSourceFromRedshiftRequest) super.clone();
}
}