com.mongodb.spark.sql.MongoDataFrameFunctions.scala Maven / Gradle / Ivy
/*
* Copyright 2016 MongoDB, Inc.
*
* Licensed 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 com.mongodb.spark.sql
import org.apache.spark.sql.Dataset
import com.mongodb.spark.config.WriteConfig
import com.mongodb.spark.{LoggingTrait, MongoSpark}
private[spark] case class MongoDataFrameFunctions[T](@transient df: Dataset[T]) extends LoggingTrait {
/**
* Saves the contents of the `DataFrame` to MongoDB.
*/
def saveToMongoDB(): Unit = MongoSpark.save(df)
/**
* Saves the contents of the `DataFrame` to MongoDB.
*
* @param writeConfig the [[com.mongodb.spark.config.WriteConfig]] to use
*/
def saveToMongoDB(writeConfig: WriteConfig): Unit = MongoSpark.save(df, writeConfig)
}