Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/13494#discussion_r69676774 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlySuite.scala --- @@ -0,0 +1,95 @@ +/* + * 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 + +import org.apache.spark.sql._ +import org.apache.spark.sql.catalyst.plans.logical.LocalRelation +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.test.SharedSQLContext + +class OptimizeMetadataOnlySuite extends QueryTest with SharedSQLContext { + import testImplicits._ + + override def beforeAll(): Unit = { + super.beforeAll() + val data = (1 to 10).map(i => (i, s"data-$i", i % 2, if ((i % 2) == 0) "even" else "odd")) + .toDF("id", "data", "partId", "part") + data.write.partitionBy("partId", "part").mode("append").saveAsTable("srcpart_15752") + } + + override protected def afterAll(): Unit = { + try { + sql("DROP TABLE IF EXISTS srcpart_15752") + } finally { + super.afterAll() + } + } + + private def checkWithMetadataOnly(df: DataFrame): Unit = { + val localRelations = df.queryExecution.optimizedPlan.collect { + case l @ LocalRelation(_, _) => l + } + assert(localRelations.size == 1) + } + + private def checkWithoutMetadataOnly(df: DataFrame): Unit = { + val localRelations = df.queryExecution.optimizedPlan.collect{ + case l @ LocalRelation(_, _) => l + } + assert(localRelations.size == 0) + } + + test("spark-15752 metadata only optimizer for partition table") { + withSQLConf(SQLConf.OPTIMIZER_METADATA_ONLY.key -> "true") { + checkWithMetadataOnly(sql("select part from srcpart_15752 where part = 0 group by part")) + checkWithMetadataOnly(sql("select max(part) from srcpart_15752")) + checkWithMetadataOnly(sql("select max(part) from srcpart_15752 where part = 0")) + checkWithMetadataOnly( + sql("select part, min(partId) from srcpart_15752 where part = 0 group by part")) + checkWithMetadataOnly( + sql("select max(x) from (select part + 1 as x from srcpart_15752 where part = 1) t")) + checkWithMetadataOnly(sql("select distinct part from srcpart_15752")) + checkWithMetadataOnly(sql("select distinct part, partId from srcpart_15752")) + checkWithMetadataOnly( + sql("select distinct x from (select part + 1 as x from srcpart_15752 where part = 0) t")) + + // Now donot support metadata only optimizer + checkWithoutMetadataOnly(sql("select part, max(id) from srcpart_15752 group by part")) + checkWithoutMetadataOnly(sql("select distinct part, id from srcpart_15752")) + checkWithoutMetadataOnly(sql("select part, sum(partId) from srcpart_15752 group by part")) + checkWithoutMetadataOnly( + sql("select part from srcpart_15752 where part = 1 group by rollup(part)")) + checkWithoutMetadataOnly( + sql("select part from (select part from srcpart_15752 where part = 0 union all " + + "select part from srcpart_15752 where part= 1)t group by part")) + } + } + + test("spark-15752 without metadata only optimizer for partition table") { + withSQLConf(SQLConf.OPTIMIZER_METADATA_ONLY.key -> "false") { + checkWithoutMetadataOnly(sql("select part from srcpart_15752 where part = 0 group by part")) + checkWithoutMetadataOnly(sql("select max(part) from srcpart_15752")) --- End diff -- because we turn off the flag for this test
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