Github user HyukjinKwon commented on the issue:
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Let me open a JIRA after taking some more further looks. I checked some
code places and looks it's not easy to support `None` for instance.
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Github user vanzin commented on the issue:
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Hmmm... just want to raise a possible issue that maybe, just maybe, we
should be hosting those jenkins configs in a repository that is owned by the
ASF and writable by all Spark committers.
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@cloud-fan @gatorsmile @HyukjinKwon Thanks. Yes. As Pandas UDF has the same
issue and it is fixed by this PR.
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -1989,22 +2026,214 @@ head(sql("select * from aggregates"))
-#
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@@ -74,20 +74,28 @@ trait TestPrematureExit {
@volatile var
Github user gatorsmile commented on the issue:
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How about pandas UDF? How about using RDD APIs? Do we face the same issues?
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@zsxwing Please, have a look at the PR one more time.
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@HyukjinKwon Could you look at the PR, please.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -1149,6 +1149,75 @@ def test_infer_schema(self):
result = self.spark.sql("SELECT l[0].a from test2
Github user dongjoon-hyun commented on the issue:
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@mgaido91 . The failure is relevant to this PR. Could you take a look?
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--- Diff: docs/running-on-kubernetes.md ---
@@ -799,4 +815,168 @@ specific to Spark on Kubernetes.
This sets the major Python version of the
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@@ -74,20 +74,27 @@ trait TestPrematureExit {
@volatile var
Github user gatorsmile commented on the issue:
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Also, https://github.com/apache/spark/pull/22614#discussion_r223172392
proposes a better and safer solution by introducing `exponential backoff with
retries`. @kmanamcheri Could you update your
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@@ -0,0 +1,224 @@
+/*
+ * Licensed to the Apache
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--- Diff: docs/running-on-kubernetes.md ---
@@ -185,6 +185,22 @@ To use a secret through an environment variable use
the following options to the
Github user icexelloss commented on the issue:
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@BryanCutler Yes that was a typo :) Thanks!
I am also +1 to support numpy data structure in addition to Pandas. So
happy to discuss here or separately.
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Github user zsxwing commented on the issue:
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Is it supposed to the flaky ChunkFetchIntegrationSuite?
http://spark-tests.appspot.com/test-details?suite_name=org.apache.spark.network.ChunkFetchIntegrationSuite_name=fetchFileChunk
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Yeah this does need to be in a public repo.
apache/spark-jenkins-configurations or something. We can ask INFRA to create
them. But, I'm not against just putting them in dev/ or something in the main
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Merged to master.
Thank you @BryanCutler. Let me try to make sure I take further actions for
related items.
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This sets the major Python version of the
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@gatorsmile, @tejasapatil was reviewing the code before I added the new
config option. I have asked him to review the new code. Lets see what his
thoughts are on that. I have also asked him
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@gatorsmile Please, take a look at this.
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@srowen sure, manually removing the failing jobs is one option... but
since we auto-generate the job configs, any time we add a new branch they'll
come back.
i'd much rather do this
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*/
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mainObject:
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> an unset var is just an empty string anyway.
The issue is that if you call that function multiple times the variables
might be set by a previous call.
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Github user shaneknapp commented on the issue:
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consider me pinged. ;)
i will need to do some refactoring in the jenkins job builder configs for
this, so we'll definitely need to coordinate before this is merged.
most likely
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@srowen fair 'nuf... i'll create a jira for this tomorrow and we can hash
out final design shite there (rather than overloading this PR). :)
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I guess we've just pinged @shaneknapp ! But I figured the jobs would simply
fail and could be removed at leisure.
Yes, this mechanism is a little weird but may be the simplest thing here. I
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@@ -1989,22 +2026,214 @@ head(sql("select * from aggregates"))
-#
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-#
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-#
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Sorry for late. @HyukjinKwon Yes, this LGTM. It is great we can follow up
other issues like None and datetime.time in other JIRA.
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LGTM
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