spark KafkaSink 源码
spark KafkaSink 代码
文件路径：/connector/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSink.scala
/*
* 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.kafka010
import java.{util => ju}
import org.apache.spark.internal.Logging
import org.apache.spark.sql.{DataFrame, SQLContext}
import org.apache.spark.sql.execution.streaming.Sink
private[kafka010] class KafkaSink(
sqlContext: SQLContext,
executorKafkaParams: ju.Map[String, Object],
topic: Option[String]) extends Sink with Logging {
@volatile private var latestBatchId = -1L
override def toString(): String = "KafkaSink"
override def addBatch(batchId: Long, data: DataFrame): Unit = {
if (batchId <= latestBatchId) {
logInfo(s"Skipping already committed batch $batchId")
} else {
KafkaWriter.write(sqlContext.sparkSession,
data.queryExecution, executorKafkaParams, topic)
latestBatchId = batchId
}
}
}
相关信息
相关文章
spark KafkaBatchPartitionReader 源码
spark KafkaContinuousStream 源码
spark KafkaMicroBatchStream 源码
0
赞
- 所属分类： 前端技术
- 本文标签：
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦