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[SPARK-11905][SQL] Support Persist/Cache and Unpersist in Dataset APIs
Persist and Unpersist exist in both RDD and Dataframe APIs. I think they are still very critical in Dataset APIs. Not sure if my understanding is correct? If so, could you help me check if the implementation is acceptable? Please provide your opinions. marmbrus rxin cloud-fan Thank you very much! Author: gatorsmile <gatorsmile@gmail.com> Author: xiaoli <lixiao1983@gmail.com> Author: Xiao Li <xiaoli@Xiaos-MacBook-Pro.local> Closes apache#9889 from gatorsmile/persistDS.
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sql/core/src/test/scala/org/apache/spark/sql/DatasetCacheSuite.scala
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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. | ||
| */ | ||
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| package org.apache.spark.sql | ||
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| import scala.language.postfixOps | ||
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| import org.apache.spark.sql.functions._ | ||
| import org.apache.spark.sql.test.SharedSQLContext | ||
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| class DatasetCacheSuite extends QueryTest with SharedSQLContext { | ||
| import testImplicits._ | ||
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| test("persist and unpersist") { | ||
| val ds = Seq(("a", 1) , ("b", 2), ("c", 3)).toDS().select(expr("_2 + 1").as[Int]) | ||
| val cached = ds.cache() | ||
| // count triggers the caching action. It should not throw. | ||
| cached.count() | ||
| // Make sure, the Dataset is indeed cached. | ||
| assertCached(cached) | ||
| // Check result. | ||
| checkAnswer( | ||
| cached, | ||
| 2, 3, 4) | ||
| // Drop the cache. | ||
| cached.unpersist() | ||
| assert(!sqlContext.isCached(cached), "The Dataset should not be cached.") | ||
| } | ||
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| test("persist and then rebind right encoder when join 2 datasets") { | ||
| val ds1 = Seq("1", "2").toDS().as("a") | ||
| val ds2 = Seq(2, 3).toDS().as("b") | ||
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| ds1.persist() | ||
| assertCached(ds1) | ||
| ds2.persist() | ||
| assertCached(ds2) | ||
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| val joined = ds1.joinWith(ds2, $"a.value" === $"b.value") | ||
| checkAnswer(joined, ("2", 2)) | ||
| assertCached(joined, 2) | ||
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| ds1.unpersist() | ||
| assert(!sqlContext.isCached(ds1), "The Dataset ds1 should not be cached.") | ||
| ds2.unpersist() | ||
| assert(!sqlContext.isCached(ds2), "The Dataset ds2 should not be cached.") | ||
| } | ||
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| test("persist and then groupBy columns asKey, map") { | ||
| val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS() | ||
| val grouped = ds.groupBy($"_1").keyAs[String] | ||
| val agged = grouped.mapGroups { case (g, iter) => (g, iter.map(_._2).sum) } | ||
| agged.persist() | ||
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| checkAnswer( | ||
| agged.filter(_._1 == "b"), | ||
| ("b", 3)) | ||
| assertCached(agged.filter(_._1 == "b")) | ||
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| ds.unpersist() | ||
| assert(!sqlContext.isCached(ds), "The Dataset ds should not be cached.") | ||
| agged.unpersist() | ||
| assert(!sqlContext.isCached(agged), "The Dataset agged should not be cached.") | ||
| } | ||
| } |
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