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2017-10-12 Thread cloud-fan
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I can't think of any downside, but it's always safe to avoid behavior 
changes. LGTM


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2017-10-11 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue:

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ok to test


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2017-10-11 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue:

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I think the optimisation by `spark.sql.files.maxPartitionBytes` sql 
specific conf includes this concept in `FileScanRDD` and it looks already 
partially doing it in combining input splits. I'd suggest to avoid putting this 
conf in `FileScanRDD`, for now, if I didn't miss something.


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2017-10-11 Thread jerryshao
Github user jerryshao commented on the issue:

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IIUC this issue also existed in `NewHadoopRDD` and `FileScanRDD` 
(possibly), we'd better also fix them.


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2017-10-11 Thread srowen
Github user srowen commented on the issue:

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Interesting. On the one hand I don't like adding yet another flag that 
changes behavior, when the user often can't meaningfully decide to set it. 
There is probably no value in processing an empty partition, sure. Then again 
it does change behavior slightly, and I wonder if that impacts assumptions that 
apps rely on somehow. 

If there's no reason to expect downside, we could do this in Spark 3.x, or 
make the change now but yes introduce a flag as a safety valve to go back to 
old behavior, leaving the default to true.

But first are there any known impacts to skipping the empty partitions?


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2017-10-11 Thread liutang123
Github user liutang123 commented on the issue:

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@kiszk Any other suggestions an can ti PR be merged?


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