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Let me CC @MLnick as well.
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Thanks for working on this. Jenkins OK to test.
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--- Diff: python/pyspark/context.py ---
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import importlib
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[MINOR][SQL] Fix a misleading `resultSchema` in ParquetFileFormat
## What changes were proposed in this pull request?
Conceptually, `resultSchema` is used for `requiredSchema +
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@tgravescs I have opened https://github.com/apache/hadoop/pull/289 to the
YARN changes to get a notification in the AM when a nodes transitions to
DECOMMISSIONING. This should be already useful for
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I've fixed more styling issue.
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I've fixed the styling issue.
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Github user BryanCutler commented on the issue:
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Thanks for investigating this @HyukjinKwon ! In regards to the python 2.7
versions, I thought all workers were updated to use pandas 0.19.2 and pyarrow
0.4.1, not just for py3. I'll bring
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I figured out what is going on with StreamBlocks now, both before and after
this change, so I'm OK with it
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LGTM
Thanks! Merged to master
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Thanks @felixcheung -- The Appveyor test seems to have failed with the
following err
```
1. Failure: traverseParentDirs (@test_utils.R#255)
-
`dirs` not
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[SPARK-19759][ML] not using blas in ALSModel.predict for optimization
## What changes were proposed in this pull request?
In `ALS.predict` currently we are using `blas.sdot` function to
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Github user zivanfi commented on the issue:
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The interoperability issue is that Impala follows timezone-agnostic
timestamp semantics as mandated by the SQL standard, while SparkSQL follows
UTC-normalized semantics instead (which is not
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The PR is updated according to your advice. Thank you again, @cloud-fan !
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Ping @MLnick @jkbradley . @sethah has given LGTM
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Let me leave this closed!
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Github user ueshin commented on the issue:
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@HyukjinKwon Awesome! Thanks for the investigation!
I didn't think the "platform-dependent" is so dependent.
I'll update my pr to avoid the time within DST. Thanks!
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Logging
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