Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9889#discussion_r45824179
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -213,6 +215,56 @@ class DatasetSuite extends QueryTest with
SharedSQLContext {
}
+ 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.
+ assert(sqlContext.cacheManager.lookupCachedData(cached).nonEmpty)
+ assertResult(1, "InMemoryRelation not found, testData should have been
cached") {
+ cached.queryExecution.withCachedData.collect {
+ case r: InMemoryRelation => r
+ }.size
+ }
+ // Check result.
+ checkAnswer(
+ cached,
+ 2, 3, 4)
+ // Drop the cache.
+ cached.unpersist()
+ }
+
+ 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")
+
+ ds1.persist()
+ ds2.persist()
+
+ val joined = ds1.joinWith(ds2, $"a.value" === $"b.value")
+ checkAnswer(joined, ("2", 2))
+
+ ds1.unpersist()
+ ds2.unpersist()
+ }
+
+ test("persist and then groupBy columns asKey, map") {
+ val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
+ ds.persist()
+
+ val grouped = ds.groupBy($"_1").keyAs[String]
+ val agged = grouped.mapGroup { case (g, iter) => (g,
iter.map(_._2).sum) }
+ agged.persist()
--- End diff --
Its a little odd to have a test that persists more than one point in the
lineage, unless you are explicitly testing that only the latests possible set
of materialized data is being used.
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