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/*
* 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.seatunnel.spark.hudi.sink
import org.apache.seatunnel.common.config.CheckConfigUtil.checkAllExists
import org.apache.seatunnel.common.config.CheckResult
import org.apache.seatunnel.shade.com.typesafe.config.ConfigFactory
import org.apache.seatunnel.spark.hudi.Config.{DEFAULT_SAVE_MODE, HOODIE_BASE_PATH, HOODIE_TABLE_NAME, SAVE_MODE}
import org.apache.seatunnel.spark.SparkEnvironment
import org.apache.seatunnel.spark.batch.SparkBatchSink
import org.apache.spark.sql.{Dataset, Row}
import scala.collection.JavaConversions._
class Hudi extends SparkBatchSink {
override def checkConfig(): CheckResult = {
checkAllExists(config, HOODIE_BASE_PATH, HOODIE_TABLE_NAME)
}
override def prepare(env: SparkEnvironment): Unit = {
val defaultConfig = ConfigFactory.parseMap(
Map(
SAVE_MODE -> DEFAULT_SAVE_MODE))
config = config.withFallback(defaultConfig)
}
override def output(df: Dataset[Row], environment: SparkEnvironment): Unit = {
val writer = df.write.format("org.apache.hudi")
for (e <- config.entrySet()) {
writer.option(e.getKey, String.valueOf(e.getValue.unwrapped()))
}
writer.mode(config.getString(SAVE_MODE))
.save(config.getString(HOODIE_BASE_PATH))
}
override def getPluginName: String = "Hudi"
}