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[SPARK-24085] Query returns UnsupportedOperationException when scalar
subquery is present in partitioning expression
## What changes were proposed in this pull request?
In this case, the
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Note that
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@@ -328,6 +328,11 @@ Apart from these, the following properties are also
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Note that
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[SPARK-23856][SQL] Add an option `queryTimeout` in JDBCOptions
## What changes were proposed in this pull request?
This pr added an option `queryTimeout` for the number of seconds the the
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Thanks @BryanCutler @HyukjinKwon
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Can one of the admins verify this patch?
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Github user liyinan926 commented on the issue:
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@madanadit sorry I didn't get a chance to look into this. I will take a
detailed look once @foxish's comments on testing are addressed.
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Github user bersprockets commented on the issue:
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@holdenk Yes, see [this
jira](https://issues.apache.org/jira/browse/SPARK-23776). If you build with
sbt, you need to also run 'build/sbt sql/test:compile' to get udfs from the
test files.
Github user rdblue commented on the issue:
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@arunmahadevan, the problem is that the current naming is misleading. This
is not a factory (it only produces one specific reader) and it does not have
the same lifecycle as the write-side factory.
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@@ -771,6 +778,16 @@ class
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@madanadit, sorry about the long turnaround time here. I made a cursory
pass over it - and it looks good. Before getting deeper into the code, I think
we need more exhaustive unit testing for
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Hey @liyinan926, do you think you'll have time to take a look this week?
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Github user superbobry commented on the issue:
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One improvement we can make is change the patch to bypass namedtuples which
are importable. This would resolve the issues with namedtuples coming from
third-party libraries. I can open a new PR
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@gatorsmile . Sorry for late updating. I updated this PR by narrowing the
scope of configuration key names specifically for ORC and Parquet. The test
coverage is reading and writing
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Also weirdly when I run this locally without hive built I get some UDF
registration exceptions (could be unrelated) - do you get that?
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I'm worried that people might have two rows with different meanings but the
same type and their application will start producing garbage #s. I think a lot
of people go from RDDs of Rows to DFs in
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[SPARK-23120][PYSPARK][ML][WIP] Add basic PMML export support to PySpark
## What changes were proposed in this pull request?
Adds basic PMML export support for Spark ML stages to PySpark
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Github user arunmahadevan commented on the issue:
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IMO, its better to keep it the current way.
`DataReaderFactory` implies that its something that produces `DataReader`
which it does, whereas `ReadTask` is gives a notion that it does
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[SPARK-24104] SQLAppStatusListener overwrites metrics onDriverAccumUpdates
instead of updating them
## What changes were proposed in this pull request?
Event
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Hi, @squito and @cloud-fan .
Could you take a look at `branch-2.3/sbt` build?
After this commit on `branch-2.3`, the following two test cases of
ParquetQuerySuite never
Github user tiboun commented on the issue:
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Ah yes, I understand what you mean, I'm going to fix it right now
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https://github.com/apache/spark/pull/21121
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