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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,
* 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.jdbc
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{Row, SQLContext}
import org.apache.spark.sql.connector.read.V1Scan
import org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation
import org.apache.spark.sql.sources.{BaseRelation, Filter, TableScan}
import org.apache.spark.sql.types.StructType
case class JDBCScan(
relation: JDBCRelation,
prunedSchema: StructType,
pushedFilters: Array[Filter],
pushedAggregateColumn: Array[String] = Array(),
groupByColumns: Option[Array[String]]) extends V1Scan {
override def readSchema(): StructType = prunedSchema
override def toV1TableScan[T <: BaseRelation with TableScan](context: SQLContext): T = {
new BaseRelation with TableScan {
override def sqlContext: SQLContext = context
override def schema: StructType = prunedSchema
override def needConversion: Boolean = relation.needConversion
override def buildScan(): RDD[Row] = {
val columnList = if (groupByColumns.isEmpty) {
prunedSchema.map(_.name).toArray
} else {
pushedAggregateColumn
}
relation.buildScan(columnList, prunedSchema, pushedFilters, groupByColumns)
}
}.asInstanceOf[T]
}
override def description(): String = {
val (aggString, groupByString) = if (groupByColumns.nonEmpty) {
val groupByColumnsLength = groupByColumns.get.length
(seqToString(pushedAggregateColumn.drop(groupByColumnsLength)),
seqToString(pushedAggregateColumn.take(groupByColumnsLength)))
} else {
("[]", "[]")
}
super.description() + ", prunedSchema: " + seqToString(prunedSchema) +
", PushedFilters: " + seqToString(pushedFilters) +
", PushedAggregates: " + aggString + ", PushedGroupBy: " + groupByString
}
private def seqToString(seq: Seq[Any]): String = seq.mkString("[", ", ", "]")
}