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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/03/03 01:46:54 UTC

[GitHub] [spark] Eric5553 commented on a change in pull request #27685: [SPARK-30940][SQL] Remove attributeId in auto-generated arguments when Explain SQL query

Eric5553 commented on a change in pull request #27685: [SPARK-30940][SQL] Remove attributeId in auto-generated arguments when Explain SQL query
URL: https://github.com/apache/spark/pull/27685#discussion_r386755598
 
 

 ##########
 File path: sql/core/src/test/resources/sql-tests/results/explain.sql.out
 ##########
 @@ -65,48 +65,48 @@ struct<plan:string>
 
 
 (1) Scan parquet default.explain_temp1 
-Output [2]: [key#x, val#x]
+Output [2]: [key, val]
 Batched: true
 Location [not included in comparison]/{warehouse_dir}/explain_temp1]
 PushedFilters: [IsNotNull(key), GreaterThan(key,0)]
 ReadSchema: struct<key:int,val:int>
      
 (2) ColumnarToRow [codegen id : 1]
-Input [2]: [key#x, val#x]
+Input [2]: [key, val]
       
 (3) Filter [codegen id : 1]
-Input [2]: [key#x, val#x]
-Condition : (isnotnull(key#x) AND (key#x > 0))
+Input [2]: [key, val]
+Condition : (isnotnull(key) AND (key > 0))
      
 (4) Project [codegen id : 1]
-Output [2]: [key#x, val#x]
-Input [2]: [key#x, val#x]
+Output [2]: [key, val]
+Input [2]: [key, val]
      
 (5) HashAggregate [codegen id : 1]
-Input [2]: [key#x, val#x]
-Keys [1]: [key#x]
-Functions [1]: [partial_max(val#x)]
-Aggregate Attributes [1]: [max#x]
-Results [2]: [key#x, max#x]
+Input [2]: [key, val]
+Keys [1]: [key]
+Functions [1]: [partial_max(val)]
+Aggregate Attributes [1]: [max]
+Results [2]: [key, max]
      
 (6) Exchange 
-Input [2]: [key#x, max#x]
-Arguments: hashpartitioning(key#x, 4), true, [id=#x]
+Input [2]: [key, max]
+Arguments: hashpartitioning(key, 4), true, [id=#x]
       
 (7) HashAggregate [codegen id : 2]
-Input [2]: [key#x, max#x]
-Keys [1]: [key#x]
-Functions [1]: [max(val#x)]
-Aggregate Attributes [1]: [max(val#x)#x]
 
 Review comment:
   @cloud-fan I've re-implemented to only remove the auto-generated Attrids I think. Would you please help review again? Thanks so much!

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