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[SPARK-5068][SQL]fix bug query data when path doesn't exists #3891

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Original file line number Diff line number Diff line change
Expand Up @@ -141,7 +141,11 @@ class HadoopTableReader(
partitionToDeserializer: Map[HivePartition,
Class[_ <: Deserializer]],
filterOpt: Option[PathFilter]): RDD[Row] = {
val hivePartitionRDDs = partitionToDeserializer.map { case (partition, partDeserializer) =>
val hivePartitionRDDs = partitionToDeserializer.filter { case (partition, partDeserializer) =>
val partPath = HiveShim.getDataLocationPath(partition)
val fs = partPath.getFileSystem(sc.hiveconf)
fs.exists(partPath)
}.map { case (partition, partDeserializer) =>
val partDesc = Utilities.getPartitionDesc(partition)
val partPath = HiveShim.getDataLocationPath(partition)
val inputPathStr = applyFilterIfNeeded(partPath, filterOpt)
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,68 @@
/*
* 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.hive

import java.io.File

import com.google.common.io.Files
import org.apache.spark.sql.{QueryTest, _}
import org.apache.spark.sql.hive.test.TestHive
/* Implicits */
import org.apache.spark.sql.hive.test.TestHive._


class QueryPartitionSuite extends QueryTest {

test("SPARK-5068: query data when path doesn't exists"){
val testData = TestHive.sparkContext.parallelize(
(1 to 10).map(i => TestData(i, i.toString)))
testData.registerTempTable("testData")

val tmpDir = Files.createTempDir()
//create the table for test
sql(s"CREATE TABLE table_with_partition(key int,value string) PARTITIONED by (ds string) location '${tmpDir.toURI.toString}' ")
sql("INSERT OVERWRITE TABLE table_with_partition partition (ds='1') SELECT key,value FROM testData")
sql("INSERT OVERWRITE TABLE table_with_partition partition (ds='2') SELECT key,value FROM testData")
sql("INSERT OVERWRITE TABLE table_with_partition partition (ds='3') SELECT key,value FROM testData")
sql("INSERT OVERWRITE TABLE table_with_partition partition (ds='4') SELECT key,value FROM testData")
//test for the exist path
checkAnswer(sql("select key,value from table_with_partition"),
testData.toSchemaRDD.collect ++ testData.toSchemaRDD.collect
++ testData.toSchemaRDD.collect ++ testData.toSchemaRDD.collect)

//delect the path of one partition
val folders = tmpDir.listFiles.filter(_.isDirectory).toList
def deleteAll(file:File){
if(file.isDirectory()){
for(f:File <-file.listFiles()){
deleteAll(f);
}
}
file.delete();
}
deleteAll(folders(0))

//test for the affter delete the path
checkAnswer(sql("select key,value from table_with_partition"),
testData.toSchemaRDD.collect ++ testData.toSchemaRDD.collect
++ testData.toSchemaRDD.collect)

sql("DROP TABLE table_with_partition")
sql("DROP TABLE createAndInsertTest")
}
}