spark JsonPartitionReaderFactory 源码

  • 2022-10-20
  • 浏览 (113)

spark JsonPartitionReaderFactory 代码

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

import org.apache.spark.broadcast.Broadcast
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.json.{JacksonParser, JSONOptionsInRead}
import org.apache.spark.sql.connector.read.PartitionReader
import org.apache.spark.sql.execution.datasources.PartitionedFile
import org.apache.spark.sql.execution.datasources.json.JsonDataSource
import org.apache.spark.sql.execution.datasources.v2._
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.sources.Filter
import org.apache.spark.sql.types.StructType
import org.apache.spark.util.SerializableConfiguration

/**
 * A factory used to create JSON readers.
 *
 * @param sqlConf SQL configuration.
 * @param broadcastedConf Broadcast serializable Hadoop Configuration.
 * @param dataSchema Schema of JSON files.
 * @param readDataSchema Required schema of JSON files.
 * @param partitionSchema Schema of partitions.
 * @param options Options for parsing JSON files.
 * @param filters The filters pushed down to JSON datasource.
 */
case class JsonPartitionReaderFactory(
    sqlConf: SQLConf,
    broadcastedConf: Broadcast[SerializableConfiguration],
    dataSchema: StructType,
    readDataSchema: StructType,
    partitionSchema: StructType,
    options: JSONOptionsInRead,
    filters: Seq[Filter]) extends FilePartitionReaderFactory {

  override def buildReader(partitionedFile: PartitionedFile): PartitionReader[InternalRow] = {
    val actualSchema =
      StructType(readDataSchema.filterNot(_.name == options.columnNameOfCorruptRecord))
    val parser = new JacksonParser(
      actualSchema,
      options,
      allowArrayAsStructs = true,
      filters)
    val iter = JsonDataSource(options).readFile(
      broadcastedConf.value.value,
      partitionedFile,
      parser,
      readDataSchema)
    val fileReader = new PartitionReaderFromIterator[InternalRow](iter)
    new PartitionReaderWithPartitionValues(fileReader, readDataSchema,
      partitionSchema, partitionedFile.partitionValues)
  }
}

相关信息

spark 源码目录

相关文章

spark JsonDataSourceV2 源码

spark JsonScan 源码

spark JsonScanBuilder 源码

spark JsonTable 源码

spark JsonWrite 源码

0  赞