spark AvroScanBuilder 源码

2022-10-20
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spark AvroScanBuilder 代码

文件路径：/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroScanBuilder.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.v2.avro

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.StructFilters
import org.apache.spark.sql.connector.read.Scan
import org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex
import org.apache.spark.sql.execution.datasources.v2.FileScanBuilder
import org.apache.spark.sql.sources.Filter
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.util.CaseInsensitiveStringMap

class AvroScanBuilder (
    sparkSession: SparkSession,
    fileIndex: PartitioningAwareFileIndex,
    schema: StructType,
    dataSchema: StructType,
    options: CaseInsensitiveStringMap)
  extends FileScanBuilder(sparkSession, fileIndex, dataSchema) {

  override def build(): Scan = {
    AvroScan(
      sparkSession,
      fileIndex,
      dataSchema,
      readDataSchema(),
      readPartitionSchema(),
      options,
      pushedDataFilters,
      partitionFilters,
      dataFilters)
  }

  override def pushDataFilters(dataFilters: Array[Filter]): Array[Filter] = {
    if (sparkSession.sessionState.conf.avroFilterPushDown) {
      StructFilters.pushedFilters(dataFilters, dataSchema)
    } else {
      Array.empty[Filter]
    }
  }
}

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