revans2 commented on a change in pull request #24795: [SPARK-27945][SQL] 
Minimal changes to support columnar processing
URL: https://github.com/apache/spark/pull/24795#discussion_r296214842
 
 

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 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.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.
+ */
+
+package org.apache.spark.sql.execution
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.{broadcast, TaskContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{Attribute, SortOrder, 
SpecializedGetters, UnsafeProjection}
+import org.apache.spark.sql.catalyst.expressions.codegen._
+import org.apache.spark.sql.catalyst.expressions.codegen.Block._
+import org.apache.spark.sql.catalyst.plans.physical.Partitioning
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
+import org.apache.spark.sql.execution.vectorized.{OffHeapColumnVector, 
OnHeapColumnVector, WritableColumnVector}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types._
+import org.apache.spark.sql.vectorized.{ColumnarBatch, ColumnVector}
+
+/**
+ * Holds a user defined rule that can be used to inject columnar 
implementations of various
 
 Review comment:
   @rxin 
   As I explained 
[before](https://github.com/apache/spark/pull/24795#issuecomment-499960263) 
there needs to be at least one rule that operates on the entire physical 
`SparkPlan` after the exchanges have been inserted into the plan.
   
   Having two rules, one that runs prior to inserting columnar transitions and 
one that runs after it makes it so a plugin does not have to duplicate code for 
inserting columnar transitions and provides a cleaner API for anyone trying to 
insert columnar processing, but that is relatively minor.
   
   If you want me to split `ColumnarRule` up and rename the individual parts to 
not be columnar specific I am happy to do it.  If you want me to make it a 
single rule that runs prior to code generation I can make that work too.  Just 
let me know which of the two changes you would prefer, and I will make it 
happen.

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