Github user vanzin commented on the issue:
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> the memory usage will be much larger with InMemoryStore.
No it won't. The in-memory store does not use extra memory for indices. It
sorts the data when the index is read, and discards that
Github user kiszk commented on a diff in the pull request:
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--- Diff:
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---
@@ -17,21 +17,24 @@
package
Github user HyukjinKwon commented on the issue:
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Sorry for noice. I made some clean up and just rebased.
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ok to test
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The minimum R version supported is something that we can revisit though. I
think we do this for Python, Java versions as well in the project
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Github user foxish commented on the issue:
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Thanks @vanzin. I was waiting on spark-dev [thread on integration
testing](http://apache-spark-developers-list.1001551.n3.nabble.com/Integration-testing-and-Scheduler-Backends-td23105.html)
to
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> users with custom docker images can override the classpath by
I wrote this in a comment above, but there needs to be a proper definition
of how to customize these docker images. There
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Thank you, @tdas !
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Github user holdenk commented on the issue:
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So I think this could be the basis for solving a lot of related problems
and I like the minimally invasive approach to it. I think the error message for
setting it to a bad module rather than a
Github user holdenk commented on the issue:
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So for what its worth I made a quick POC of supporting similar
functionality without requiring any changes to Spark its self (
https://github.com/nteract/coffee_boat ) which should also work in
Github user sethah commented on the issue:
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Good call @felixcheung! Will update shortly.
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--- Diff: python/pyspark/context.py ---
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--- Diff: python/pyspark/sql/group.py ---
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| 2| 1.1094003924504583|
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-#
-# Licensed to the Apache Software
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COPY bin
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> do you have some time to modify the integration tests as well
I can try to look, but really you guys should be putting that code into the
Spark repo. I don't see a task under SPARK-18278
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cc @HyukjinKwon @ueshin @cloud-fan @viirya
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+#!/bin/bash
+#
+# Licensed to the
Github user RussellSpitzer commented on the issue:
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This looks very exciting to me
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Yes. My bad. I didnt realize the branch had already been cut.
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[SPARK-23009][PYTHON] Fix for non-str col names to createDataFrame from
Pandas
## What changes were proposed in this pull request?
This the case when calling
Github user BryanCutler commented on the issue:
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Just came across this issue, ping @HyukjinKwon @ueshin
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Github user foxish commented on the issue:
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@vanzin, do you have some time to modify the integration tests as well? The
change LGTM, but a clean run on minikube would give us a lot more confidence.
Until the integration tests get checked in
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LGTM.
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Done.
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=44763d93c0d923977c114d63586abfc1b68ad7fc
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--- Diff:
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---
@@ -0,0 +1,133 @@
+/*
+ * Licensed to
GitHub user icexelloss opened a pull request:
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[SPARK-23011][PYTHON][SQL] Prepend missing grouping key in groupby apply
## What changes were proposed in this pull request?
See https://issues.apache.org/jira/browse/SPARK-23011
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Github user RussellSpitzer commented on the issue:
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@zsxwing I think you were the last to touch this code, could you please
review?
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Github user kiszk commented on the issue:
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Is `ColumnarBatchScan` appropriate name for now? This is because if
`supportBatch` is false, the class handles scan from a `row`, not `columnar` or
`batch`.
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