gatorsmile commented on a change in pull request #23390: [SPARK-26459][SQL] 
reuse the FixNullability rule
URL: https://github.com/apache/spark/pull/23390#discussion_r244266792
 
 

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 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UpdateAttributeNullability.scala
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 @@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
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+ * The ASF licenses this file to You under the Apache License, Version 2.0
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+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
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+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
 
 Review comment:
   It still looks weird to me if we call an analyzer rule in the optimizer. Our 
codegen impl depends on the correctness of nullability fields. I am wondering 
which rule could break it? join reordering? 
   
   I think our existing test cases might already have such a case. Could you 
throw an exception if this rule changes the nullability in the optimizer stage? 
I want to know the exact case why we need to run this in the optimizer stage. 

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