spark ParquetRecordMaterializer 源码
spark ParquetRecordMaterializer 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRecordMaterializer.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.parquet
import java.time.ZoneId
import org.apache.parquet.io.api.{GroupConverter, RecordMaterializer}
import org.apache.parquet.schema.MessageType
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.util.RebaseDateTime.RebaseSpec
import org.apache.spark.sql.types.StructType
/**
* A [[RecordMaterializer]] for Catalyst rows.
*
* @param parquetSchema Parquet schema of the records to be read
* @param catalystSchema Catalyst schema of the rows to be constructed
* @param schemaConverter A Parquet-Catalyst schema converter that helps initializing row converters
* @param convertTz the optional time zone to convert to int96 data
* @param datetimeRebaseSpec the specification of rebasing date/timestamp from Julian to Proleptic
* Gregorian calendar: mode + optional original time zone
* @param int96RebaseSpec the specification of rebasing INT96 timestamp from Julian to Proleptic
* Gregorian calendar
*/
private[parquet] class ParquetRecordMaterializer(
parquetSchema: MessageType,
catalystSchema: StructType,
schemaConverter: ParquetToSparkSchemaConverter,
convertTz: Option[ZoneId],
datetimeRebaseSpec: RebaseSpec,
int96RebaseSpec: RebaseSpec)
extends RecordMaterializer[InternalRow] {
private val rootConverter = new ParquetRowConverter(
schemaConverter,
parquetSchema,
catalystSchema,
convertTz,
datetimeRebaseSpec,
int96RebaseSpec,
NoopUpdater)
override def getCurrentRecord: InternalRow = rootConverter.currentRecord
override def getRootConverter: GroupConverter = rootConverter
}
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