dongjoon-hyun commented on a change in pull request #23943: [SPARK-27034][SQL] 
Nested schema pruning for ORC
URL: https://github.com/apache/spark/pull/23943#discussion_r263156271
 
 

 ##########
 File path: sql/core/benchmarks/OrcNestedSchemaPruningBenchmark-results.txt
 ##########
 @@ -6,35 +6,35 @@ Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 
10.14.3
 Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
 Selection:                                Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
 
------------------------------------------------------------------------------------------------------------------------
-Top-level column                                    113            196         
 89          8.8         113.0       1.0X
-Nested column                                      1316           1639         
240          0.8        1315.5       0.1X
+Top-level column                                    116            151         
 36          8.6         116.3       1.0X
+Nested column                                       544            604         
 31          1.8         544.5       0.2X
 
 Review comment:
   So, 2x faster than before. Since the base-line `Top-level column` read 
performance is similar with Parquet, I guess there still exists some overhead 
in this PR (compared with Parquet). Could you optimize more in the current 
approach?
   
   ```
   Selection:              Best Time(ms)   Avg Time(ms)   Stdev(ms)    
Rate(M/s)   Per Row(ns)   Relative
   
------------------------------------------------------------------------------------------------------------------------
   Top-level column                   88            114          16         
11.4          87.5       1.0X
   Nested column                     201            223          27          
5.0         200.5       0.4X
   ```

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