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The AWS Java SDK for Amazon Machine Learning module holds the client classes that is used for communicating with Amazon Machine Learning Service

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/*
 * Copyright 2010-2016 Amazon.com, Inc. or its affiliates. All Rights
 * Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License").
 * You may not use this file except in compliance with the License.
 * A copy of the License is located at
 *
 *  http://aws.amazon.com/apache2.0
 *
 * or in the "license" file accompanying this file. This file is distributed
 * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
 * express or implied. See the License for the specific language governing
 * permissions and limitations under the License.
 */

package com.amazonaws.services.machinelearning.model;

import java.io.Serializable;

/**
 * 

* Describes the data specification of an Amazon Redshift * DataSource. *

*/ public class RedshiftDataSpec implements Serializable, Cloneable { /** *

* Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. *

*/ private RedshiftDatabase databaseInformation; /** *

* Describes the SQL Query to execute on an Amazon Redshift database for an * Amazon Redshift DataSource. *

*/ private String selectSqlQuery; /** *

* Describes AWS Identity and Access Management (IAM) credentials that are * used connect to the Amazon Redshift database. *

*/ private RedshiftDatabaseCredentials databaseCredentials; /** *

* Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. *

*/ private String s3StagingLocation; /** *

* Describes the splitting specifications for a DataSource. *

*/ private String dataRearrangement; /** *

* A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced in the * DataSource. *

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value pairs. * attributes and excludedVariableNames have an * array of key-value pairs for their value. Use the following format to * define your DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" * }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", * "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, * { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { * "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } *

*/ private String dataSchema; /** *

* Describes the schema location for an Amazon Redshift * DataSource. *

*/ private String dataSchemaUri; /** *

* Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. *

* * @param databaseInformation * Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. */ public void setDatabaseInformation(RedshiftDatabase databaseInformation) { this.databaseInformation = databaseInformation; } /** *

* Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. *

* * @return Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. */ public RedshiftDatabase getDatabaseInformation() { return this.databaseInformation; } /** *

* Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. *

* * @param databaseInformation * Describes the DatabaseName and * ClusterIdentifier for an Amazon Redshift * DataSource. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withDatabaseInformation( RedshiftDatabase databaseInformation) { setDatabaseInformation(databaseInformation); return this; } /** *

* Describes the SQL Query to execute on an Amazon Redshift database for an * Amazon Redshift DataSource. *

* * @param selectSqlQuery * Describes the SQL Query to execute on an Amazon Redshift database * for an Amazon Redshift DataSource. */ public void setSelectSqlQuery(String selectSqlQuery) { this.selectSqlQuery = selectSqlQuery; } /** *

* Describes the SQL Query to execute on an Amazon Redshift database for an * Amazon Redshift DataSource. *

* * @return Describes the SQL Query to execute on an Amazon Redshift database * for an Amazon Redshift DataSource. */ public String getSelectSqlQuery() { return this.selectSqlQuery; } /** *

* Describes the SQL Query to execute on an Amazon Redshift database for an * Amazon Redshift DataSource. *

* * @param selectSqlQuery * Describes the SQL Query to execute on an Amazon Redshift database * for an Amazon Redshift DataSource. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withSelectSqlQuery(String selectSqlQuery) { setSelectSqlQuery(selectSqlQuery); return this; } /** *

* Describes AWS Identity and Access Management (IAM) credentials that are * used connect to the Amazon Redshift database. *

* * @param databaseCredentials * Describes AWS Identity and Access Management (IAM) credentials * that are used connect to the Amazon Redshift database. */ public void setDatabaseCredentials( RedshiftDatabaseCredentials databaseCredentials) { this.databaseCredentials = databaseCredentials; } /** *

* Describes AWS Identity and Access Management (IAM) credentials that are * used connect to the Amazon Redshift database. *

* * @return Describes AWS Identity and Access Management (IAM) credentials * that are used connect to the Amazon Redshift database. */ public RedshiftDatabaseCredentials getDatabaseCredentials() { return this.databaseCredentials; } /** *

* Describes AWS Identity and Access Management (IAM) credentials that are * used connect to the Amazon Redshift database. *

* * @param databaseCredentials * Describes AWS Identity and Access Management (IAM) credentials * that are used connect to the Amazon Redshift database. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withDatabaseCredentials( RedshiftDatabaseCredentials databaseCredentials) { setDatabaseCredentials(databaseCredentials); return this; } /** *

* Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. *

* * @param s3StagingLocation * Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. */ public void setS3StagingLocation(String s3StagingLocation) { this.s3StagingLocation = s3StagingLocation; } /** *

* Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. *

* * @return Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. */ public String getS3StagingLocation() { return this.s3StagingLocation; } /** *

* Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. *

* * @param s3StagingLocation * Describes an Amazon S3 location to store the result set of the * SelectSqlQuery query. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withS3StagingLocation(String s3StagingLocation) { setS3StagingLocation(s3StagingLocation); return this; } /** *

* Describes the splitting specifications for a DataSource. *

* * @param dataRearrangement * Describes the splitting specifications for a * DataSource. */ public void setDataRearrangement(String dataRearrangement) { this.dataRearrangement = dataRearrangement; } /** *

* Describes the splitting specifications for a DataSource. *

* * @return Describes the splitting specifications for a * DataSource. */ public String getDataRearrangement() { return this.dataRearrangement; } /** *

* Describes the splitting specifications for a DataSource. *

* * @param dataRearrangement * Describes the splitting specifications for a * DataSource. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withDataRearrangement(String dataRearrangement) { setDataRearrangement(dataRearrangement); return this; } /** *

* A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced in the * DataSource. *

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value pairs. * attributes and excludedVariableNames have an * array of key-value pairs for their value. Use the following format to * define your DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" * }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", * "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, * { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { * "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } *

* * @param dataSchema * A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced * in the DataSource.

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value * pairs. attributes and * excludedVariableNames have an array of key-value * pairs for their value. Use the following format to define your * DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": * "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { * "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": * "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": * "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": * "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } */ public void setDataSchema(String dataSchema) { this.dataSchema = dataSchema; } /** *

* A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced in the * DataSource. *

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value pairs. * attributes and excludedVariableNames have an * array of key-value pairs for their value. Use the following format to * define your DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" * }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", * "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, * { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { * "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } *

* * @return A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced * in the DataSource.

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value * pairs. attributes and * excludedVariableNames have an array of key-value * pairs for their value. Use the following format to define your * DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": * "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { * "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": * "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": * "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": * "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } */ public String getDataSchema() { return this.dataSchema; } /** *

* A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced in the * DataSource. *

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value pairs. * attributes and excludedVariableNames have an * array of key-value pairs for their value. Use the following format to * define your DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" * }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", * "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, * { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { * "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } *

* * @param dataSchema * A JSON string that represents the schema for an Amazon Redshift * DataSource. The DataSchema defines the * structure of the observation data in the data file(s) referenced * in the DataSource.

*

* A DataSchema is not required if you specify a * DataSchemaUri. *

*

* Define your DataSchema as a series of key-value * pairs. attributes and * excludedVariableNames have an array of key-value * pairs for their value. Use the following format to define your * DataSchema. *

*

* { "version": "1.0", *

*

* "recordAnnotationFieldName": "F1", *

*

* "recordWeightFieldName": "F2", *

*

* "targetFieldName": "F3", *

*

* "dataFormat": "CSV", *

*

* "dataFileContainsHeader": true, *

*

* "attributes": [ *

*

* { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", * "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": * "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { * "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": * "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": * "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": * "WEIGHTED_STRING_SEQUENCE" } ], *

*

* "excludedVariableNames": [ "F6" ] } * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withDataSchema(String dataSchema) { setDataSchema(dataSchema); return this; } /** *

* Describes the schema location for an Amazon Redshift * DataSource. *

* * @param dataSchemaUri * Describes the schema location for an Amazon Redshift * DataSource. */ public void setDataSchemaUri(String dataSchemaUri) { this.dataSchemaUri = dataSchemaUri; } /** *

* Describes the schema location for an Amazon Redshift * DataSource. *

* * @return Describes the schema location for an Amazon Redshift * DataSource. */ public String getDataSchemaUri() { return this.dataSchemaUri; } /** *

* Describes the schema location for an Amazon Redshift * DataSource. *

* * @param dataSchemaUri * Describes the schema location for an Amazon Redshift * DataSource. * @return Returns a reference to this object so that method calls can be * chained together. */ public RedshiftDataSpec withDataSchemaUri(String dataSchemaUri) { setDataSchemaUri(dataSchemaUri); return this; } /** * Returns a string representation of this object; useful for testing and * debugging. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getDatabaseInformation() != null) sb.append("DatabaseInformation: " + getDatabaseInformation() + ","); if (getSelectSqlQuery() != null) sb.append("SelectSqlQuery: " + getSelectSqlQuery() + ","); if (getDatabaseCredentials() != null) sb.append("DatabaseCredentials: " + getDatabaseCredentials() + ","); if (getS3StagingLocation() != null) sb.append("S3StagingLocation: " + getS3StagingLocation() + ","); if (getDataRearrangement() != null) sb.append("DataRearrangement: " + getDataRearrangement() + ","); if (getDataSchema() != null) sb.append("DataSchema: " + getDataSchema() + ","); if (getDataSchemaUri() != null) sb.append("DataSchemaUri: " + getDataSchemaUri()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof RedshiftDataSpec == false) return false; RedshiftDataSpec other = (RedshiftDataSpec) obj; if (other.getDatabaseInformation() == null ^ this.getDatabaseInformation() == null) return false; if (other.getDatabaseInformation() != null && other.getDatabaseInformation().equals( this.getDatabaseInformation()) == false) return false; if (other.getSelectSqlQuery() == null ^ this.getSelectSqlQuery() == null) return false; if (other.getSelectSqlQuery() != null && other.getSelectSqlQuery().equals(this.getSelectSqlQuery()) == false) return false; if (other.getDatabaseCredentials() == null ^ this.getDatabaseCredentials() == null) return false; if (other.getDatabaseCredentials() != null && other.getDatabaseCredentials().equals( this.getDatabaseCredentials()) == false) return false; if (other.getS3StagingLocation() == null ^ this.getS3StagingLocation() == null) return false; if (other.getS3StagingLocation() != null && other.getS3StagingLocation().equals( this.getS3StagingLocation()) == false) return false; if (other.getDataRearrangement() == null ^ this.getDataRearrangement() == null) return false; if (other.getDataRearrangement() != null && other.getDataRearrangement().equals( this.getDataRearrangement()) == false) return false; if (other.getDataSchema() == null ^ this.getDataSchema() == null) return false; if (other.getDataSchema() != null && other.getDataSchema().equals(this.getDataSchema()) == false) return false; if (other.getDataSchemaUri() == null ^ this.getDataSchemaUri() == null) return false; if (other.getDataSchemaUri() != null && other.getDataSchemaUri().equals(this.getDataSchemaUri()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getDatabaseInformation() == null) ? 0 : getDatabaseInformation().hashCode()); hashCode = prime * hashCode + ((getSelectSqlQuery() == null) ? 0 : getSelectSqlQuery() .hashCode()); hashCode = prime * hashCode + ((getDatabaseCredentials() == null) ? 0 : getDatabaseCredentials().hashCode()); hashCode = prime * hashCode + ((getS3StagingLocation() == null) ? 0 : getS3StagingLocation().hashCode()); hashCode = prime * hashCode + ((getDataRearrangement() == null) ? 0 : getDataRearrangement().hashCode()); hashCode = prime * hashCode + ((getDataSchema() == null) ? 0 : getDataSchema().hashCode()); hashCode = prime * hashCode + ((getDataSchemaUri() == null) ? 0 : getDataSchemaUri() .hashCode()); return hashCode; } @Override public RedshiftDataSpec clone() { try { return (RedshiftDataSpec) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException( "Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } }




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