Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/19196#discussion_r139578096
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/streaming/IncrementalExecutionRulesSuite.scala
---
@@ -0,0 +1,123 @@
+/*
+ * 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.streaming
+
+import java.util.UUID
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.execution.{SparkPlan, SparkPlanTest,
UnaryExecNode}
+import org.apache.spark.sql.execution.exchange.{Exchange, ShuffleExchange}
+import org.apache.spark.sql.execution.streaming.{IncrementalExecution,
OffsetSeqMetadata, StatefulOperator, StatefulOperatorStateInfo}
+import org.apache.spark.sql.test.SharedSQLContext
+
+class IncrementalExecutionRulesSuite extends SparkPlanTest with
SharedSQLContext {
+
+ import testImplicits._
+ super.beforeAll()
+
+ private val baseDf = Seq((1, "A"), (2, "b")).toDF("num", "char")
+
+ testEnsureStatefulOpPartitioning(
+ "ClusteredDistribution generates Exchange with HashPartitioning",
+ baseDf.queryExecution.sparkPlan,
+ keys => ClusteredDistribution(keys),
+ keys => HashPartitioning(keys,
spark.sessionState.conf.numShufflePartitions),
+ expectShuffle = true)
+
+ testEnsureStatefulOpPartitioning(
+ "ClusteredDistribution with coalesce(1) generates Exchange with
HashPartitioning",
+ baseDf.coalesce(1).queryExecution.sparkPlan,
+ keys => ClusteredDistribution(keys),
+ keys => HashPartitioning(keys,
spark.sessionState.conf.numShufflePartitions),
+ expectShuffle = true)
+
+ testEnsureStatefulOpPartitioning(
+ "AllTuples generates Exchange with SinglePartition",
+ baseDf.queryExecution.sparkPlan,
+ keys => AllTuples,
+ keys => SinglePartition,
+ expectShuffle = true)
+
+ testEnsureStatefulOpPartitioning(
+ "AllTuples with coalesce(1) doesn't need Exchange",
+ baseDf.coalesce(1).queryExecution.sparkPlan,
+ keys => AllTuples,
+ keys => SinglePartition,
+ expectShuffle = false)
+
+ private def testEnsureStatefulOpPartitioning(
--- End diff --
nit: add some docs specifying what does it test.
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