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--- Diff: core/src/main/scala/org/apache/spark/BarrierTaskContext.scala ---
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+/*
+ * Licensed to the Apache Software Foundation (
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test this please
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@@ -94,36 +95,59 @@ object ExtractPythonUDFFromAggre
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OK thank you. I will close
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> I like it, but this will still create the byte channel right? is there a
way to reuse it?
we could create a pool, though management becomes a bit more complex.
would you ever shrink the p
Github user kiszk commented on the issue:
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I want to hear opinion of others about the order of a result.
cc @ueshin
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LGTM
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> Does it make sense to release byteChannel at deallocate()?
you could, just to let GC kick in a *bit* earlier, but I don't think its
going to make a big difference. (Netty's ByteBufs must b
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@yaooqinn Can you close this because it's not long time for a long time.
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@tejasapatil Can you close this for now because it's not active for a long
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IIUC we have no plan to expose Interval types now, so can we close this for
now? cc: @gatorsmile
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oh, I noticed the jira ticket has already been closed as later, so can you
close this? @dilipbiswal
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@aray Can you close this for now because it's not active for a long time?
(I'm not sure the current master still has this issue..., so you should check
it first)
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Github user gatorsmile commented on the issue:
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@hvanhovell The question is whether `HandleNullInputsForUDF ` is the only
rule that caused the issue. If not, we still need to add an AnalysisBarrier.
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@hvanhovell We still need to keep this pr open? Either way, we need rework
based on this pr. If so, can you close this for now?
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Thanks! Merged to master.
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@xuanyuanking Can you close this for now because it's not active for a long
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retest this please
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@xuanyuanking Any update?
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--- Diff: python/pyspark/sql/tests.py ---
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df = self.spark.range(1).select(pandas_udf(
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@gatorsmile Thanks for your advice, added ut in ScriptTransformationSuite.
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@hvanhovell What's the status of this pr?
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No problem.
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I'll resolve the conflicts today, thanks for ping me.
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LGTM
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@CrazyJacky Can you close this for now cuz it's not active for a long time?
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@tanejagagan Can you update?
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GitHub user lindblombr opened a pull request:
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[SPARK-24855][SQL][EXTERNAL][WIP]: Built-in AVRO support should support
specified schema on write
## What changes were proposed in this pull request?
Allows `avroSchema` option to be sp
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Github user rxin commented on the issue:
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This helps, but it is not sustainable to keep increasing the threshold.
What we need to do is to look at test time distribution and figure out what
test suites are unnecessarily long and actually cut d
Github user maryannxue commented on the issue:
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I just ran a test with once-strategy check and found out that a few
batches/rules do not stop, e.g. AggregatePushDown, "Convert to Spark client
exec", PartitionPruning. I believe most of them are
Github user rxin commented on the issue:
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No we can't because you can still use string concat in filters, e.g.
colA || colB == "ab"
What is "||" here?
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--- Diff:
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@@ -3858,3 +3858,29 @@ object ArrayUnion
Github user gatorsmile commented on the issue:
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LGTM
Thanks! Merged to master
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -2095,9 +2095,11 @@ def toPandas(self):
_check_dataframe_localize_timestamp
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of course i am as usual. I actually already have been being taking care of
it. Thing is the tests are just being added even if they are duplicated of
something. I feel like it's a bit excessive
Github user rdblue commented on the issue:
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@cloud-fan, any update on merging this?
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Github user gatorsmile commented on the issue:
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retest this please
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Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/21546#discussion_r204484728
--- Diff: python/pyspark/serializers.py ---
@@ -184,27 +184,67 @@ def loads(self, obj):
raise NotImplementedError
-class Arr
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