spark SaveMode 源码

  • 2022-10-20
  • 浏览 (215)

spark SaveMode 代码

文件路径:/sql/core/src/main/java/org/apache/spark/sql/SaveMode.java

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License 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 org.apache.spark.sql;

import org.apache.spark.annotation.Stable;

/**
 * SaveMode is used to specify the expected behavior of saving a DataFrame to a data source.
 *
 * @since 1.3.0
 */
@Stable
public enum SaveMode {
  /**
   * Append mode means that when saving a DataFrame to a data source, if data/table already exists,
   * contents of the DataFrame are expected to be appended to existing data.
   *
   * @since 1.3.0
   */
  Append,
  /**
   * Overwrite mode means that when saving a DataFrame to a data source,
   * if data/table already exists, existing data is expected to be overwritten by the contents of
   * the DataFrame.
   *
   * @since 1.3.0
   */
  Overwrite,
  /**
   * ErrorIfExists mode means that when saving a DataFrame to a data source, if data already exists,
   * an exception is expected to be thrown.
   *
   * @since 1.3.0
   */
  ErrorIfExists,
  /**
   * Ignore mode means that when saving a DataFrame to a data source, if data already exists,
   * the save operation is expected to not save the contents of the DataFrame and to not
   * change the existing data.
   *
   * @since 1.3.0
   */
  Ignore
}

相关信息

spark 源码目录

相关文章

spark ArrayWrappers 源码

spark InMemoryStore 源码

spark KVIndex 源码

spark KVStore 源码

spark KVStoreIterator 源码

spark KVStoreSerializer 源码

spark KVStoreView 源码

spark KVTypeInfo 源码

spark LevelDB 源码

spark LevelDBIterator 源码

0  赞