Github user jerryshao commented on a diff in the pull request:
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Github user jerryshao commented on the issue:
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@mridulm would you please also take a review. Thanks!
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Github user dbtsai commented on the issue:
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@cloud-fan as you suggested, I benchmarked cache read performance, and the
performance is the same. This makes sense, since it's unlikely that cache read
performance is that bad so we can see the imp
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Github user jerryshao commented on the issue:
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What kind of behavior did you see? This local dir is only used to store
some temporary files, which is not IO intensive, so I don't think the problem
here is severe.
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Github user maropu commented on the issue:
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yea, I think that is another approach to fix this issue.
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*
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Github user maropu commented on the issue:
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How about the fix based on [the
suggestion](https://github.com/apache/spark/pull/21754/commits/f961760f64ceabd582bd78fd2b383f1405988816)?
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Thanks, closed.
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Github user vackosar commented on the issue:
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@jose-torres thx for good point. The reason for placing this into
WriterCommitMessage is to set a standard information that should passed at the
commit time.
But I agree that row counting
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retest this please
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GitHub user ueshin opened a pull request:
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[WIP][SPARK-23909][SQL] Add filter function.
## What changes were proposed in this pull request?
This pr adds `filter` function which filters the input array using the
given predicate.
Github user ueshin commented on the issue:
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This is based on #21954. I'll update after it is merged.
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retest this please.
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class
GitHub user cloud-fan opened a pull request:
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simplify codegen of array_except
## What changes were proposed in this pull request?
simplify the codegen:
1. only do real codegen if the type can be specialized by the hash set
2
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cc @kiszk @ueshin
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Hello @Satyajitv, please rename the title of this PR properly.
The PR title should be of the form [SPARK-][COMPONENT] Title, where
SPARK- is the relevant JIRA number, COMPONENT is
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retest this please
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Github user HeartSaVioR commented on the issue:
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@tdas
I found the spare time to run performance tests though I've run only one
app for now... I couldn't run the tests concurrently. Please let me know if you
are not confident with th
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Github user cloud-fan commented on the issue:
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I don't think we can change behavior like this without introducing a
config. In Spark 3.0 we will add a "strict mode" and closely follow SQL
standard. But for Spark 2.4, how about we keep the "jav
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Github user mgaido91 commented on the issue:
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@cloud-fan I think this is just a wrong behavior (being against SQL
standard is not the only issue), so I am not sure that makes sense to have it
controlled by a config. Anyway, I agree that as it
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Github user sddyljsx commented on the issue:
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@felixcheung
Thanks for review.
**1. How small is 'small':**
This optimazition works when the sampled data of the RangePartitioner
covers all the data to sort.
Th
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ExchangeCoordinator.scala
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@@ -83,16 +83,17 @@ import org.apache.spark.sql.exec
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GitHub user mgaido91 opened a pull request:
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[SPARK-24598][DOCS] State in the documentation the behavior when arithmetic
operations cause overflow
## What changes were proposed in this pull request?
According to the discussion in ht
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retest this please
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