Github user sujith71955 commented on the issue:
https://github.com/apache/spark/pull/16677
@viirya i tested with the above mentioned approach with sample data, it has
improved the performance almost into 3X
Please find the test report
Total No of Executers = 3
Total Memory assigned = 66 G
Total Number of cores = 15 core
Number of Partition = 200
Data size = 10745616 (>10 milliion)
Limit value = 10000000 (10 million)
query executed: create destination_table as select * from source_table
limit 10000000;
Time Taken with current implementation with single partition : 383 seconds
**With use map output statistics(spark open source proposed solution) :120
sec** which is great!!!
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