Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/12048#discussion_r58160004
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/IncrementalExecution.scala
---
@@ -0,0 +1,72 @@
+/*
+* 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
+
+import org.apache.spark.sql.SQLContext
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.{QueryExecution, SparkPlan,
SparkPlanner, UnaryNode}
+
+/**
+ * A variant of [[QueryExecution]] that allows the execution of the given
[[LogicalPlan]]
+ * plan incrementally. Possibly preserving state in between each execution.
+ */
+class IncrementalExecution(
+ ctx: SQLContext,
+ logicalPlan: LogicalPlan,
+ checkpointLocation: String,
+ currentBatchId: Long) extends QueryExecution(ctx, logicalPlan) {
+
+ // TODO: make this always part of planning.
+ val stateStrategy =
sqlContext.sessionState.planner.StatefulAggregationStrategy :: Nil
+
+ // Modified planner with stateful operations.
+ override def planner: SparkPlanner =
+ new SparkPlanner(
+ sqlContext.sparkContext,
+ sqlContext.conf,
+ stateStrategy)
+
+ /**
+ * Records the current id for a given stateful operator in the query
plan as the `state`
+ * preperation walks the query plan.
+ */
+ private var operatorId = 0
+
+ /** Locates save/restore pairs surrounding aggregation. */
+ val state = new Rule[SparkPlan] {
+ override def apply(plan: SparkPlan): SparkPlan = plan transform {
+ case StateStoreSave(keys, None,
+ UnaryNode(agg,
+ StateStoreRestore(keys2, None, child))) =>
+ val stateId = OperatorStateId(checkpointLocation, operatorId,
currentBatchId - 1)
+ operatorId += 1
+
+ StateStoreSave(
+ keys,
+ Some(stateId),
+ agg.withNewChildren(
+ StateStoreRestore(
+ keys,
+ Some(stateId),
+ child) :: Nil))
--- End diff --
nit: maybe its me, but this nested tree is a little hard to read
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