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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2021/09/24 11:27:08 UTC
[GitHub] [spark] lxian opened a new pull request #34099: dataset - toIterator
lxian opened a new pull request #34099:
URL: https://github.com/apache/spark/pull/34099
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### What changes were proposed in this pull request?
Add a iterator method to dataset
### Why are the changes needed?
The new iterator method will not submit one job for on partition like toLocalIterator() to save scheduling overhead
### Does this PR introduce _any_ user-facing change?
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No
### How was this patch tested?
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unit test is added
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[GitHub] [spark] srowen commented on pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
srowen commented on pull request #34099:
URL: https://github.com/apache/spark/pull/34099#issuecomment-927204935
Why does this help vs collect() and iterating over that?
toLocalIterator is optimized over what you are trying to do here on purpose
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[GitHub] [spark] srowen commented on pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
srowen commented on pull request #34099:
URL: https://github.com/apache/spark/pull/34099#issuecomment-927302983
Just collect the results, then get an iterator on it then
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[GitHub] [spark] HyukjinKwon commented on pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #34099:
URL: https://github.com/apache/spark/pull/34099#issuecomment-927223355
Yeah .. there;s no benefit on this ..
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[GitHub] [spark] srowen closed pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
srowen closed pull request #34099:
URL: https://github.com/apache/spark/pull/34099
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[GitHub] [spark] lxian commented on pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
lxian commented on pull request #34099:
URL: https://github.com/apache/spark/pull/34099#issuecomment-927291636
Correct me if I am wrong. I think toLocalIterator() is going to submit multiple jobs as you iterate through the result.
In my case, I would like to submit only one job and collect all results from all partitions to the driver first. And then do the iteration. I think in this way, I can get the result faster (I can run all partitions in parallel and save the scheduling overhead) and also save the memory on deserialization.
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[GitHub] [spark] AmplabJenkins commented on pull request #34099: dataset - toIterator
Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on pull request #34099:
URL: https://github.com/apache/spark/pull/34099#issuecomment-926553317
Can one of the admins verify this patch?
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