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Yea, it's unfortunate .. we should fix and set up the Jenkins env too.
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I don't use anymore approach above.
To unpersist unnecessary RDD, I hacked MapWithStateDStream a little bit by
calling unpersist for previously generated RDDs in internalMapWithStateStream.
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@viirya how much time this add to the overall testing time?
If this is too much then we should perhaps just test interpreted encoders.
WDYT?
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@mgaido91 WDYT? Does the benchmark make sense to you?
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cc @dbtsai too.
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[SPARK-24505][SQL] Convert strings in codegen to blocks: Cast and
BoundAttribute
## What changes were proposed in this pull request?
This is split from #21520. This includes changes of
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--- Diff: pom.xml ---
@@ -760,6 +760,12 @@
1.10.19
test
+
--- End diff --
> Does Akka streams
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LGTM, (if we all agree and we go for it, then we have to update it also on
the JIRA)
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This is amazing to see many kind of test failures for a typo fix.
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retest this please
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[SPARK-24500][SQL] Make sure streams are materialized during Tree
transforms.
## What changes were proposed in this pull request?
If you construct catalyst trees using
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@viirya sorry, I somehow lost your updated benchmark. Yes, it makes sense.
In the case without any shuffle needed after the union we have about a 2%
performance regression. I am not sure about
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@icexelloss, mind resolving the conflict?
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thanks for your review @cloud-fan. Nice catch on the `transformUp`! I
addressed all your comments.
As far as the followup is regarded, we should decide if we want to support
the
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perhaps related:
Big Random Forest Models (example: 100 or more trees with depth of around
20):
Big models can be trained effectively even on machines with limited RAM
(such
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LGTM
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I think this fixing is nice to have. cc @cloud-fan
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retest this please.
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[SPARK-23754][PYTHON][FOLLOWUP] Move UDF stop iteration wrapping from
driver to executor
SPARK-23754 was fixed in #21383 by changing the UDF code to wrap the user
function, but this required
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+Please vote on releasing the following candidate as Apache Spark version
{version}.
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/21515#discussion_r194626614
--- Diff: dev/create-release/spark-rm/Dockerfile ---
@@ -0,0 +1,89 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/21515#discussion_r194626379
--- Diff: dev/.rat-excludes ---
@@ -106,3 +106,4 @@ spark-warehouse
structured-streaming/*
kafka-source-initial-offset-version-2.1.0.bin
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/21319
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