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ok to test
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Github user HyukjinKwon commented on the issue:
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I remember this summary file is disabled by default anyway. I think it's
fine to just get rid of warnings.
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Did you try remote py files, does it have similar issue?
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@jose-torres thanks for reply. I will try to add a unit test for this.
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Do not backport this to 2.3. This is a behavior change.
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How about making it configurable? Users can choose either resolve by names
or resolve by positions. It is hard to say which one is right. If the names do
not match when users want to resolve by
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@imarios Please check the dev mailing list. It is being voted.
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Just for clarification, I am okay @BryanCutler if you feel in this way too.
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Github user icexelloss commented on the issue:
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I do think the current default behavior might be confusing to users and
hard to debug. I have also received similar complaints.
I think at the very least, we should make sure when
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I haven't tried yet but I believe it has since It downloads into local. It
has the assumption that the file is local within deploy.PythonRunner side too.
Will check for doubly sure.
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@gatorsmile thanks for adding this! Is there an estimate for a 2.3.1 patch?
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Github user mccheah commented on the issue:
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@liyinan926 I still have a few more tests to write and some tweaks, but the
architecture is now along the lines of what we discussed. Any feedback would be
appreciated.
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jenkins, retest this please
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--- Diff: python/pyspark/sql/tests.py ---
@@ -900,6 +900,17 @@ def __call__(self, x):
self.assertEqual(f, f_.func)
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GitHub user wangyum opened a pull request:
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[SPARK-24378][SQL] Fix date_trunc function incorrect examples
## What changes were proposed in this pull request?
Fix `date_trunc` function incorrect examples.
## How was this
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GitHub user jinxing64 opened a pull request:
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[SPARK-24379] BroadcastExchangeExec should catch SparkOutOfMemory and
re-throw SparkFatalException, which wraps SparkOutOfMemory inside.
## What changes were proposed in this pull request?
Github user jinxing64 commented on the issue:
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cc @cloud-fan @JoshRosen
Would you please help take a look at this when you have time ?
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--- Diff:
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@@ -85,6 +86,9 @@ object Canonicalize {
Github user HyukjinKwon commented on the issue:
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Yea agree with not backporting and agree with configuration. Thing is, the
configuration is inaccessible in worker.py side. That's why I was hesitant. The
safest way is just to target 3.0.0 but
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,53 @@
+/*
+ * Licensed to the
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4931,6 +4931,33 @@ def foo3(key, pdf):
expected4 = udf3.func((), pdf)
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LGTM
Thanks! Merged to master.
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LGTM except one minor comment.
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@@ -309,6 +322,9 @@ object CatalystTypeConverters
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I tested:
submit with yarn client: .py local
submit with yarn client: .py remote
submit with standalone client: .py local
submit with standalone client: .py remote
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