chamikaramj commented on a change in pull request #11122: [BEAM-9346] Improve 
the efficiency of TFRecordIO
URL: https://github.com/apache/beam/pull/11122#discussion_r406877630
 
 

 ##########
 File path: sdks/java/core/src/main/java/org/apache/beam/sdk/io/WriteFiles.java
 ##########
 @@ -410,13 +412,44 @@ private GatherResults(Coder<ResultT> resultCoder) {
       } else {
         // Pass results via a side input rather than reshuffle, because we 
need to get an empty
         // iterable to finalize if there are no results.
-        return input
-            .getPipeline()
-            .apply(Reify.viewInGlobalWindow(input.apply(View.asList()), 
ListCoder.of(resultCoder)));
+        return input.apply("ToList", Combine.globally(new 
ToListCombineFn<>()));
 
 Review comment:
   Thanks for reverting.
   
   My suggestion was to fork the transform expansion to use GlobalCombine when 
specifically requested through a transform parameter (for example see how we 
fork TextIO.Read expansion based on withHintMatchesManyFiles()).
   
   
https://github.com/apache/beam/blob/master/sdks/java/core/src/main/java/org/apache/beam/sdk/io/TextIO.java#L371
   
https://github.com/apache/beam/blob/master/sdks/java/core/src/main/java/org/apache/beam/sdk/io/TextIO.java#L401
   
   I agree that the more flags we add the more confusing it becomes for users. 
So we should make sure that there are significant advantages in adding this 
option through performance benchmarking. 

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