spark JsonScan 源码
spark JsonScan 代码
文件路径:/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonScan.scala
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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,
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package org.apache.spark.sql.execution.datasources.v2.json
import scala.collection.JavaConverters._
import org.apache.hadoop.fs.Path
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.expressions.{Expression, ExprUtils}
import org.apache.spark.sql.catalyst.json.JSONOptionsInRead
import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
import org.apache.spark.sql.connector.read.PartitionReaderFactory
import org.apache.spark.sql.errors.QueryCompilationErrors
import org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex
import org.apache.spark.sql.execution.datasources.json.JsonDataSource
import org.apache.spark.sql.execution.datasources.v2.TextBasedFileScan
import org.apache.spark.sql.sources.Filter
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.util.CaseInsensitiveStringMap
import org.apache.spark.util.SerializableConfiguration
case class JsonScan(
sparkSession: SparkSession,
fileIndex: PartitioningAwareFileIndex,
dataSchema: StructType,
readDataSchema: StructType,
readPartitionSchema: StructType,
options: CaseInsensitiveStringMap,
pushedFilters: Array[Filter],
partitionFilters: Seq[Expression] = Seq.empty,
dataFilters: Seq[Expression] = Seq.empty)
extends TextBasedFileScan(sparkSession, options) {
private val parsedOptions = new JSONOptionsInRead(
CaseInsensitiveMap(options.asScala.toMap),
sparkSession.sessionState.conf.sessionLocalTimeZone,
sparkSession.sessionState.conf.columnNameOfCorruptRecord)
override def isSplitable(path: Path): Boolean = {
JsonDataSource(parsedOptions).isSplitable && super.isSplitable(path)
}
override def getFileUnSplittableReason(path: Path): String = {
assert(!isSplitable(path))
if (!super.isSplitable(path)) {
super.getFileUnSplittableReason(path)
} else {
"the json datasource is set multiLine mode"
}
}
override def createReaderFactory(): PartitionReaderFactory = {
// Check a field requirement for corrupt records here to throw an exception in a driver side
ExprUtils.verifyColumnNameOfCorruptRecord(dataSchema, parsedOptions.columnNameOfCorruptRecord)
if (readDataSchema.length == 1 &&
readDataSchema.head.name == parsedOptions.columnNameOfCorruptRecord) {
throw QueryCompilationErrors.queryFromRawFilesIncludeCorruptRecordColumnError()
}
val caseSensitiveMap = options.asCaseSensitiveMap.asScala.toMap
// Hadoop Configurations are case sensitive.
val hadoopConf = sparkSession.sessionState.newHadoopConfWithOptions(caseSensitiveMap)
val broadcastedConf = sparkSession.sparkContext.broadcast(
new SerializableConfiguration(hadoopConf))
// The partition values are already truncated in `FileScan.partitions`.
// We should use `readPartitionSchema` as the partition schema here.
JsonPartitionReaderFactory(sparkSession.sessionState.conf, broadcastedConf,
dataSchema, readDataSchema, readPartitionSchema, parsedOptions, pushedFilters)
}
override def equals(obj: Any): Boolean = obj match {
case j: JsonScan => super.equals(j) && dataSchema == j.dataSchema && options == j.options &&
equivalentFilters(pushedFilters, j.pushedFilters)
case _ => false
}
override def hashCode(): Int = super.hashCode()
override def description(): String = {
super.description() + ", PushedFilters: " + pushedFilters.mkString("[", ", ", "]")
}
}
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