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LGTM too.
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Github user cloud-fan commented on the pull request:
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if you change the `value` type to boolean, then we have to change each
element in `list` to boolean type too, which maybe dangerous as a lot of types
can't be casted t
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GitHub user liancheng opened a pull request:
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[SPARK-8848] [SQL] Refactors Parquet write path to follow parquet-format
This PR refactors Parquet write path to follow parquet-format spec. It's a
successor of PR #7679, but with less non-essent
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Github user rxin commented on the pull request:
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@travishegner looks like it is best to just do it in the oracle dialect.
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Can we add some code here to check the return code of `make_binary_release`
? i.e. we could fail the entire release if one of the binary releases fail ?
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/8989
[SPARK-10938] [SQL] remove typeId in columnar cache
This PR remove the typeId in columnar cache, it's not needed anymore, it
also remove DATE and TIMESTAMP (use INT/LONG instead).
You can merge this
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Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/8983#issuecomment-145696762
Thanks Wenchen. You are right that not all types can be casted to boolean.
However, in this case, we are not trying to cast the in list types to the
LHS typ
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Github user JoshRosen commented on the pull request:
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@shivaram, good idea. Note, however, that the build that was used to
publish the 0.5.1 binary releases _did_ actually fail in Jenkins.
Aside from adding additi
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -1256,6 +1259,136 @@ class DAGSchedulerSuite
assertData
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/8990
[SPARK-10337][SQL] fix hive views on non-hive-compatible tables.
add a new config to deal with this special case.
You can merge this pull request into a Git repository by running:
$ git pull
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cc @yhuai @marmbrus
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--- Diff: python/setup.py ---
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+#!/usr/bin/env python
+
+from setuptools import setup
+
+exec(compile(open("pyspark/pyspar
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Finer-grained cache persistence levels.
"""
+import os
+import sys
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Merged into master and branch-1.5, thanks!
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/8991
[SPARK-10585][SQL][follow-up] remove no-longer-necessary code for unsafe
generation
These code was left there to produce clear diff for
https://github.com/apache/spark/pull/8747
You can merge th
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LGTM
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Github user dilipbiswal commented on the pull request:
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Hi Wenchen,
Here is the link i could find where its a bit confusing on the equality
operator.
https://cwiki.apache.org/confluence/display/Hive/Lang
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LGTM
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Github user cloud-fan commented on the pull request:
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can you try `select null in (1,2,null)`? I wanna make sure hive doesn't
execute the `In` operation when `value` is null type.
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GitHub user tylerprete opened a pull request:
https://github.com/apache/spark/pull/8992
Use json4s 3.3.0. DefaultFormats is now serializable.
Having serializable Formats makes json4s much nicer to work with in
Spark. This seems like a worthwhile upgrade, especially since it's
Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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Github user dilipbiswal commented on the pull request:
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hive> select null in (1,2,null) from tnull;
OK
NULL
NULL
NULL
Time taken: 0.139 seconds, Fetched: 3 row(s)
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/8950#discussion_r41217146
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/ui/BatchPage.scala ---
@@ -265,16 +323,20 @@ private[ui] class BatchPage(parent: StreamingTab)
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8987#issuecomment-145713975
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Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/8922#issuecomment-145717868
Hmm, because the sql query and data schema is sensitive for company
business, I may not be able to post publicly here. The data size is hundreds GB
to 1TB, and the sql qu
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/8983#issuecomment-145718166
btw you can send another PR to add a rule in `Optimizer` so that if `value`
is literal null, we can just return null.
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/8983#issuecomment-145717934
I checked our
[implementation](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala#L126-L
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