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--- Diff: python/pyspark/serializers.py ---
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return "ArrowPandasSerializer"
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is this still valid? Now `LiveListenerBus` have multiple queues and it's
very unlikely the system queues will block.
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Github user michal-databricks commented on the issue:
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I don't fully understand the big picture here, but I am assuming the goal
is to have more efficient access to the data stored in compressible spark
columnar cache.
Either way this
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Thanks @mgaido91 , I will update the ML api, maybe also python and java API.
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I know, but you should add the parameter to the ml API, otherwise the
change is pointless.
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Github user kiszk commented on the issue:
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@hvanhovell cc: @rednaxelafx
Surprisingly, this PR improves memory accesses for `UTF8String ` by about
1.8x due to passing the concrete type to `Platform.getByte()/putByte()`.
Without
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For LDA, the implementation is in mllib, ml calls mllib.
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+/*
+ * Licensed to the Apache
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As far as I know, mllib is not maintained anymore. You should add the
`epsilon` parameter to the new ml API.
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retest this please
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Github user goldmedal commented on the issue:
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This is so weird. I run it fine using Python 3.5.2 but it seems to have
some problem using Python 3.4. Let me try Python 3.4 in my local.
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Github user HyukjinKwon commented on the issue:
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Hm to me .. I'd actually leave it for now. I am less sure if we should fix
it now as we could sweep it out when we remove the deprecated ones later
together and, for the current status, it
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Github user juliuszsompolski commented on the issue:
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@cloud-fan @viirya I addressed the post-merge comments you had in
https://github.com/apache/spark/pull/19324
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[SPARK-22103][FOLLOWUP] Rename addExtraCode to addInnerClass
## What changes were proposed in this pull request?
Address PR comments that appeared post-merge, to rename
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ok, so maybe I create another JIRA for this issue?
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Yea, let's do it separately.
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As it relies on a deprecated API, I think it is also good to replace
pyspark json to use Dataset. But I think it is better in another PR.
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@HyukjinKwon I think your way works fine after fixing a variable name bug
(`_jsqlContext` >> `_jssql_ctx`). Should we need to modify the json part to be
consistent with the csv part?
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--- Diff: dev/deps/spark-deps-hadoop-2.6 ---
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jackson-databind-2.6.7.1.jar
jackson-jaxrs-1.9.13.jar
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19352
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GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/19352
[SPARK-22128][CORE] Update paranamer to 2.8 to avoid
BytecodeReadingParanamer ArrayIndexOutOfBoundsException with Scala 2.12 + Java
8 lambda
## What changes were proposed in this pull request?
Github user jaceklaskowski commented on the issue:
https://github.com/apache/spark/pull/19261
OK I feel convinced that you feel convinced Spark SQL should not offer this
as part of the public API. Thanks for being with me for so long and patient to
explain the things. Thanks.
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Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/19263
I see, thanks for the explanation.
@vanzin would you please help to review this PR, thanks!
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