Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/11645#discussion_r56376116
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/StateStoreRDDSuite.scala
---
@@ -0,0 +1,147 @@
+/*
+ * 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.streaming.state
+
+import java.io.File
+import java.nio.file.Files
+
+import scala.util.Random
+
+import org.scalatest.{BeforeAndAfter, BeforeAndAfterAll}
+
+import org.apache.spark.{SparkConf, SparkContext, SparkFunSuite}
+import org.apache.spark.LocalSparkContext._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.scheduler.ExecutorCacheTaskLocation
+import org.apache.spark.sql.catalyst.util.quietly
+import org.apache.spark.util.Utils
+
+class StateStoreRDDSuite extends SparkFunSuite with BeforeAndAfter with
BeforeAndAfterAll {
+
+ private val conf = new
SparkConf().setMaster("local").setAppName(this.getClass.getCanonicalName)
+ private var tempDir =
Files.createTempDirectory("StateStoreRDDSuite").toString
+
+ import StateStoreCoordinatorSuite._
+ import StateStoreSuite._
+
+ after {
+ StateStore.stop()
+ }
+
+ override def afterAll(): Unit = {
+ super.afterAll()
+ Utils.deleteRecursively(new File(tempDir))
+ }
+
+ test("versioning and immutability") {
+ quietly {
+ withSpark(new SparkContext(conf)) { sc =>
+ val path = Utils.createDirectory(tempDir,
Random.nextString(10)).toString
+ val increment = (store: StateStore, iter: Iterator[String]) => {
+ iter.foreach { s =>
+ store.update(
+ wrapKey(s), oldRow => {
+ val oldValue = oldRow.map(unwrapValue).getOrElse(0)
+ wrapValue(oldValue + 1)
+ })
+ }
+ store.commit()
+ store.iterator().map(unwrapKeyValue)
+ }
+ val opId = 0
+ val rdd1 = makeRDD(sc, Seq("a", "b", "a"))
+ .withStateStores(increment, opId, storeVersion = 0, path)
+ assert(rdd1.collect().toSet === Set("a" -> 2, "b" -> 1))
+
+ // Generate next version of stores
+ val rdd2 = makeRDD(sc, Seq("a", "c"))
+ .withStateStores(increment, opId, storeVersion = 1, path)
+ assert(rdd2.collect().toSet === Set("a" -> 3, "b" -> 1, "c" -> 1))
+
+ // Make sure the previous RDD still has the same data.
+ assert(rdd1.collect().toSet === Set("a" -> 2, "b" -> 1))
+ }
+ }
+ }
+
+ test("recovering from files") {
+ quietly {
+ val opId = 0
+ val path = Utils.createDirectory(tempDir,
Random.nextString(10)).toString
--- End diff --
createTempDir
---
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