spark TextWrite 源码

  • 2022-10-20
  • 浏览 (143)

spark TextWrite 代码

文件路径:/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/text/TextWrite.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.execution.datasources.v2.text

import org.apache.hadoop.mapreduce.{Job, TaskAttemptContext}

import org.apache.spark.sql.catalyst.util.CompressionCodecs
import org.apache.spark.sql.connector.write.LogicalWriteInfo
import org.apache.spark.sql.errors.QueryCompilationErrors
import org.apache.spark.sql.execution.datasources.{CodecStreams, OutputWriter, OutputWriterFactory}
import org.apache.spark.sql.execution.datasources.text.{TextOptions, TextOutputWriter}
import org.apache.spark.sql.execution.datasources.v2.FileWrite
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._

case class TextWrite(
    paths: Seq[String],
    formatName: String,
    supportsDataType: DataType => Boolean,
    info: LogicalWriteInfo) extends FileWrite {
  private def verifySchema(schema: StructType): Unit = {
    if (schema.size != 1) {
      throw QueryCompilationErrors.textDataSourceWithMultiColumnsError(schema)
    }
  }

  override def prepareWrite(
      sqlConf: SQLConf,
      job: Job,
      options: Map[String, String],
      dataSchema: StructType): OutputWriterFactory = {
    verifySchema(dataSchema)

    val textOptions = new TextOptions(options)
    val conf = job.getConfiguration

    textOptions.compressionCodec.foreach { codec =>
      CompressionCodecs.setCodecConfiguration(conf, codec)
    }

    new OutputWriterFactory {
      override def newInstance(
          path: String,
          dataSchema: StructType,
          context: TaskAttemptContext): OutputWriter = {
        new TextOutputWriter(path, dataSchema, textOptions.lineSeparatorInWrite, context)
      }

      override def getFileExtension(context: TaskAttemptContext): String = {
        ".txt" + CodecStreams.getCompressionExtension(context)
      }
    }
  }
}

相关信息

spark 源码目录

相关文章

spark TextDataSourceV2 源码

spark TextPartitionReaderFactory 源码

spark TextScan 源码

spark TextScanBuilder 源码

spark TextTable 源码

0  赞