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GitHub user rednaxelafx opened a pull request:
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[SPARK-23447][SQL] Cleanup codegen template for Literal
## What changes were proposed in this pull request?
Cleaned up the codegen templates for `Literal`s, to make sure that the
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Github user HyukjinKwon commented on the issue:
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I just opened https://github.com/apache/spark/pull/20625. I believe this is
the smallest and simplest change ..
Will turn this PR to add a configuration later.
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GitHub user HyukjinKwon opened a pull request:
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[SPARK-23446][PYTHON] Explicitly check supported types in toPandas
## What changes were proposed in this pull request?
This PR explicitly specifies the types we supported in
Github user HyukjinKwon commented on the issue:
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Yup, I will. Sorry for delaying it. I was trying to make the fix small as
possible as I can. Let me just open it as a simplest way.
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Github user gatorsmile commented on the issue:
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@HyukjinKwon Will you submit a fix for the binary type today? We are very
close to RC4. This is kind of urgent if we still want to block it in the Spark
2.3.0 release.
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Don't worry, I am keeping my eyes on this and I believe @ueshin too.
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Jenkins, retest this please.
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@rekhajoshm feel free to follow up after we are through with 2.3.0, thanks!
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Sorry, I'm a bit occupied with testing 2.3 RC, will get back to this after.
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Jenkins, retest this please.
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1941,12 +1941,24 @@ def toPandas(self):
timezone = None
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It looks good to me that we move the registrations to the new (earlier)
places.
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cc @gatorsmile @cloud-fan @marmbrus
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[SPARK-23445] ColumnStat refactoring
## What changes were proposed in this pull request?
Refactor ColumnStat to be more flexible.
* Split `ColumnStat` and
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Retest this please
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@mrkm4ntr Do not worry about these failures. Since we know there are some
unstable tests, our community is trying to fix them. For a while, we have to
kick test.
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I cannot reproduce this failure of the test in my environment.
It seems to me that this is not related to this change...
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--- Diff:
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@@ -71,6 +73,20 @@ public static int hashUnsafeBytes(Object
Github user jerryshao commented on the issue:
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Hi @tdas, I'm on vacation this week, will update the code when I have time.
Sorry for the delay.
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LGTM again
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@squito We made a few adjustments since your "lgtm". Do you want to take a
quick look? @HyukjinKwon also gave his "lgtm" after the adjustments.
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Github user alexmnyc commented on the issue:
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Now I am not able to embed it on my grafana dashboard... That should be a
configuration parameter
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LGTM
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Resolved conflict and addressed @ueshin's comment. (Btw, I am fine with
merging after Spark 2.3 RC passes, as that seems to be the priority now, just
want to make sure this PR doesn't sit
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@jerryshao any updates?
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+0v9
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Github user jose-torres commented on the issue:
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@zsxwing pointed out that the original behavior was more subtly wrong than
I expected.
What we want to do is cancel the Spark job, and then cleanly restart it
from the last checkpoint.
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Thank you, All.
Now, it's ready for review again for Apache Spark 2.4.
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Merged build finished. Test PASSed.
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