Repository: spark
Updated Branches:
refs/heads/branch-2.0 e32c29d86 -> 565e18cf7
[SPARK-16286][SQL] Implement stack table generating function
This PR implements `stack` table generating function.
Pass the Jenkins tests including new testcases.
Author: Dongjoon Hyun
Repository: spark
Updated Branches:
refs/heads/branch-2.0 bb4b0419b -> e32c29d86
[SPARK-16288][SQL] Implement inline table generating function
This PR implements `inline` table generating function.
Pass the Jenkins tests with new testcase.
Author: Dongjoon Hyun
Closes
Repository: spark
Updated Branches:
refs/heads/branch-2.0 144aa84ce -> bb4b0419b
[SPARK-16274][SQL] Implement xpath_boolean
This patch implements xpath_boolean expression for Spark SQL, a xpath function
that returns true or false. The implementation is modelled after Hive's
xpath_boolean,
Repository: spark
Updated Branches:
refs/heads/branch-2.0 a04975457 -> 144aa84ce
[SPARK-16271][SQL] Implement Hive's UDFXPathUtil
This patch ports Hive's UDFXPathUtil over to Spark, which can be used to
implement xpath functionality in Spark in the near future.
Added two new test suites
Repository: spark
Updated Branches:
refs/heads/branch-2.0 7ef1d1c61 -> a04975457
[SPARK-16289][SQL] Implement posexplode table generating function
This PR implements `posexplode` table generating function. Currently, master
branch raises the following exception for `map` argument. It's
Repository: spark
Updated Branches:
refs/heads/branch-2.0 88603bd4f -> 7ef1d1c61
[SPARK-16278][SPARK-16279][SQL] Implement map_keys/map_values SQL functions
This PR adds `map_keys` and `map_values` SQL functions in order to remove Hive
fallback.
Pass the Jenkins tests including new
Repository: spark
Updated Branches:
refs/heads/branch-2.0 73c764a04 -> 88603bd4f
[SPARK-16276][SQL] Implement elt SQL function
This patch implements the elt function, as it is implemented in Hive.
Added expression unit test in StringExpressionsSuite and end-to-end test in
Repository: spark
Updated Branches:
refs/heads/branch-2.0 5828da41c -> 73c764a04
[SPARK-16425][R] `describe()` should not fail with non-numeric columns
## What changes were proposed in this pull request?
This PR prevents ERRORs when `summary(df)` is called for `SparkDataFrame` with
Repository: spark
Updated Branches:
refs/heads/master f4767bcc7 -> 6aa7d09f4
[SPARK-16425][R] `describe()` should not fail with non-numeric columns
## What changes were proposed in this pull request?
This PR prevents ERRORs when `summary(df)` is called for `SparkDataFrame` with
not-numeric
Repository: spark
Updated Branches:
refs/heads/master 28710b42b -> f4767bcc7
[SPARK-16310][SPARKR] R na.string-like default for csv source
## What changes were proposed in this pull request?
Apply default "NA" as null string for R, like R read.csv na.string parameter.
Repository: spark
Updated Branches:
refs/heads/branch-2.0 30cb3f1d3 -> 5828da41c
[SPARK-16310][SPARKR] R na.string-like default for csv source
## What changes were proposed in this pull request?
Apply default "NA" as null string for R, like R read.csv na.string parameter.
Repository: spark
Updated Branches:
refs/heads/branch-2.0 cbfd94eac -> 30cb3f1d3
[SPARK-16415][SQL] fix catalog string error
## What changes were proposed in this pull request?
In #13537 we truncate `simpleString` if it is a long `StructType`. But
sometimes we need `catalogString` to
Repository: spark
Updated Branches:
refs/heads/master 0f7175def -> 28710b42b
[SPARK-16415][SQL] fix catalog string error
## What changes were proposed in this pull request?
In #13537 we truncate `simpleString` if it is a long `StructType`. But
sometimes we need `catalogString` to
Repository: spark
Updated Branches:
refs/heads/branch-2.0 24933355c -> cbfd94eac
[SPARK-16350][SQL] Fix support for incremental planning in wirteStream.foreach()
## What changes were proposed in this pull request?
There are cases where `complete` output mode does not output updated
Repository: spark
Updated Branches:
refs/heads/master a04cab8f1 -> 0f7175def
[SPARK-16350][SQL] Fix support for incremental planning in wirteStream.foreach()
## What changes were proposed in this pull request?
There are cases where `complete` output mode does not output updated aggregated
Repository: spark
Updated Branches:
refs/heads/branch-1.6 45dda9221 -> bb92788f9
Revert "[SPARK-16372][MLLIB] Retag RDD to tallSkinnyQR of RowMatrix"
This reverts commit 45dda92214191310a56333a2085e2343eba170cd.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit:
Repository: spark
Updated Branches:
refs/heads/master 6343f6655 -> a04cab8f1
[SPARK-16174][SQL] Improve `OptimizeIn` optimizer to remove literal repetitions
## What changes were proposed in this pull request?
This PR improves `OptimizeIn` optimizer to remove the literal repetitions from
SQL
Repository: spark
Updated Branches:
refs/heads/master 4c6f00d09 -> 6343f6655
[SPARK-16399][PYSPARK] Force PYSPARK_PYTHON to python
## What changes were proposed in this pull request?
I would like to change
```bash
if hash python2.7 2>/dev/null; then
# Attempt to use Python 2.7, if
Repository: spark
Updated Branches:
refs/heads/master 986b25140 -> 4c6f00d09
[SPARK-16372][MLLIB] Retag RDD to tallSkinnyQR of RowMatrix
## What changes were proposed in this pull request?
The following Java code because of type erasing:
```Java
JavaRDD rows = jsc.parallelize(...);
Repository: spark
Updated Branches:
refs/heads/branch-1.6 2588776ad -> 45dda9221
[SPARK-16372][MLLIB] Retag RDD to tallSkinnyQR of RowMatrix
## What changes were proposed in this pull request?
The following Java code because of type erasing:
```Java
JavaRDD rows = jsc.parallelize(...);
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Repository: spark
Updated Branches:
refs/heads/branch-2.0 920162a1e -> d63428af6
[SPARK-16368][SQL] Fix Strange Errors When Creating View With Unmatched Column
Num
What changes were proposed in this pull request?
When creating a view, a common user error is the number of columns
Repository: spark
Updated Branches:
refs/heads/master ce3ea9698 -> ab05db0b4
[SPARK-16368][SQL] Fix Strange Errors When Creating View With Unmatched Column
Num
What changes were proposed in this pull request?
When creating a view, a common user error is the number of columns produced by
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