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> What's the failure mode if there are not enough slots for the barrier
mode? We should throw an exception right?
Yes, as mentioned in
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@HyukjinKwon could you help to merge this to master branch? Thanks.
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I agree with @ueshin's. I wouldn't make a guarantee of returning order here
in documentation yet though.
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}
Github user cloud-fan commented on the issue:
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do we have comments other than code style issues? Generally we should not
block a PR just for code style issues, as long as the PR passes the style check.
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Hey @mallman, I want to thank you for your work on this so far. I've been
watching this pull request hoping this would get merged into 2.4 since it would
be a benefit to me, but can see how it
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Let me leave this open for few days in case some reviewers have more
comments on this.
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LGTM
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Programming guide updated. Thank you, @dilipbiswal and @HyukjinKwon!
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@maryannxue It looks good to me. As a minor comment, could we state the
default value for this parameter as well ? For some of the other parameters, we
specify the default value.
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@maryannxue as I said my initial proposal was like that. I think that this
has the advantage of avoiding some code duplication as the same logic which is
added in ResolveInValues has to be spread
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--- Diff:
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+/*
+ * Licensed to the
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@HyukjinKwon, I'm not totally familiar with Spark internals yet, so to be
honest I don't feel confident making big changes and hopefully can keep them
simple at first.
I've gone through
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+/*
+ * Licensed to
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[SPARK-24802][SQL][FOLLOW-UP] Add a new config for Optimization Rule
Exclusion
## What changes were proposed in this pull request?
This is an extension to the original PR, in which
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fyi, I did finally run my scale tests again on a cluster, and shuffles,
remote reads, and replication worked for blocks over 2gb (sorry got sidetracked
with a few other things in the meantime)
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> Few comments like #21320 (comment) or ^ are not minor or nits. I leave
hard -1 if they are not addressed.
I'm sorry to say I'm very close to hanging up this PR. I put a lot of care,
time
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LGTM
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retest this please
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> After more than two years of off and on review, discussion/debate,
nitpicking, commits, steps forward and backwards, to have someone swoop in at
this time with a new raft of nitpicking and
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which is here
https://github.com/apache/spark/blob/master/docs/sql-programming-guide.md#jdbc-to-other-databases
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GitHub user rdblue opened a pull request:
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[SPARK-24923][SQL][WIP] Add unpartitioned CTAS and RTAS support for
DataSourceV2
## What changes were proposed in this pull request?
* Remove extends from `ReadSupport` and `WriteSupport`
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Thanks! Merged to master/2.3
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}
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https://github.com/apache/spark/pull/21878
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