Repository: spark
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Small update in the readme file
Just change the attribute from -PsparkR to -Psparkr
Author: Dirceu Semighini Filho dirceu.semigh...@gmail.com
Closes #7242 from dirceusemighini/patch-1 and squashes the following
Repository: spark
Updated Branches:
refs/heads/master 57c72fcce - 37e4d9214
[SPARK-8784] [SQL] Add Python API for hex and unhex
Add Python API for hex/unhex, also cleanup Hex/Unhex
Author: Davies Liu dav...@databricks.com
Closes #7223 from davies/hex and squashes the following commits:
Repository: spark
Updated Branches:
refs/heads/master 37e4d9214 - 2471c0bf7
[SPARK-4485] [SQL] 1) Add broadcast hash outer join, (2) Fix SparkPlanTest
This pull request
(1) extracts common functions used by hash outer joins and put it in interface
HashOuterJoin
(2) adds ShuffledHashOuterJoin
Repository: spark
Updated Branches:
refs/heads/master 86768b7b3 - 39e4e7e4d
[SPARK-8841] [SQL] Fix partition pruning percentage log message
When pruning partitions for a query plan, a message is logged indicating what
how many partitions were selected based on predicate criteria, and what
Repository: spark
Updated Branches:
refs/heads/master 96c5eeec3 - 0effe180f
[SPARK-8765] [MLLIB] Fix PySpark PowerIterationClustering test issue
PySpark PowerIterationClustering test failure due to bad demo data.
If the data is small, PowerIterationClustering will behavior indeterministic.
Repository: spark
Updated Branches:
refs/heads/branch-1.4 e990561ce - 4d813833d
[SPARK-8463][SQL] Use DriverRegistry to load jdbc driver at writing path
JIRA: https://issues.apache.org/jira/browse/SPARK-8463
Currently, at the reading path, `DriverRegistry` is used to load needed jdbc
driver
Repository: spark
Updated Branches:
refs/heads/master 09a06418d - d4d6d31db
[SPARK-8463][SQL] Use DriverRegistry to load jdbc driver at writing path
JIRA: https://issues.apache.org/jira/browse/SPARK-8463
Currently, at the reading path, `DriverRegistry` is used to load needed jdbc
driver at
Repository: spark
Updated Branches:
refs/heads/master 9ff203346 - 1165b17d2
[SPARK-6707] [CORE] [MESOS] Mesos Scheduler should allow the user to specify
constraints based on slave attributes
Currently, the mesos scheduler only looks at the 'cpu' and 'mem' resources when
trying to determine
Repository: spark
Updated Branches:
refs/heads/master 132e7fca1 - 9ff203346
[SPARK-8656] [WEBUI] Fix the webUI and JSON API number is not synced
Spark standalone master web UI show Alive Workers total core, total used
cores and Alive workers total memory, memory used.
But the JSON API page
Repository: spark
Updated Branches:
refs/heads/master 0effe180f - 7b467cc93
[SPARK-8588] [SQL] Regression test
This PR adds regression test for
https://issues.apache.org/jira/browse/SPARK-8588 (fixed by
https://github.com/apache/spark/commit/457d07eaa023b44b75344110508f629925eb6247).
Repository: spark
Updated Branches:
refs/heads/master 7b467cc93 - 09a06418d
[SPARK-8072] [SQL] Better AnalysisException for writing DataFrame with
identically named columns
Adding a function checkConstraints which will check for the constraints to be
applied on the dataframe / dataframe
Repository: spark
Updated Branches:
refs/heads/master 2471c0bf7 - 132e7fca1
[MINOR] [SQL] remove unused code in Exchange
Author: Daoyuan Wang daoyuan.w...@intel.com
Closes #7234 from adrian-wang/exchangeclean and squashes the following commits:
b093ec9 [Daoyuan Wang] remove unused code
Repository: spark
Updated Branches:
refs/heads/master 1165b17d2 - 96c5eeec3
Revert [SPARK-7212] [MLLIB] Add sequence learning flag
This reverts commit 25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036. After speaking to
some users and developers, we realized that FP-growth doesn't meet the
Repository: spark
Updated Branches:
refs/heads/branch-1.4 4d813833d - 947b84598
[SPARK-8819] Fix build for maven 3.3.x
This is a workaround for MSHADE-148, which leads to an infinite loop when
building Spark with maven 3.3.x. This was originally caused by #6441, which
added a bunch of test
Repository: spark
Updated Branches:
refs/heads/branch-1.3 502e1fd68 - 5f1d1c0b8
[SPARK-8819] Fix build for maven 3.3.x
This is a workaround for MSHADE-148, which leads to an infinite loop when
building Spark with maven 3.3.x. This was originally caused by #6441, which
added a bunch of test
Repository: spark
Updated Branches:
refs/heads/master 9eae5fa64 - 929dfa24b
Revert [SPARK-8781] Fix variables in published pom.xml are not resolved
This reverts commit 82cf3315e690f4ac15b50edea6a3d673aa5be4c0.
Conflicts:
pom.xml
Project:
Preparing development version 1.4.2-SNAPSHOT
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Updated Tags: refs/tags/v1.4.1-rc3 [created] f8aab7a7b
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Revert [SPARK-8781] Fix variables in published pom.xml are not resolved
This reverts commit 502e1fd68f9efc0311062146fa058dec3ef0e70b.
Conflicts:
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Project:
Repository: spark
Updated Branches:
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Revert [SPARK-8781] Fix variables in published pom.xml are not resolved
This reverts commit 82cf3315e690f4ac15b50edea6a3d673aa5be4c0.
Conflicts:
pom.xml
Project:
Repository: spark
Updated Branches:
refs/heads/master 929dfa24b - 1821fc165
[SPARK-6747] [SQL] Throw an AnalysisException when unsupported Java list types
used in Hive UDF
The current implementation can't handle List as a return type in Hive UDF and
throws meaningless Match Error.
We assume
Repository: spark
Updated Branches:
refs/heads/master 1821fc165 - 6718c1eb6
[SPARK-5562] [MLLIB] LDA should handle empty document.
See the jira https://issues.apache.org/jira/browse/SPARK-5562
Author: Alok Singh singhal@Aloks-MacBook-Pro.local
Author: Alok Singh
Repository: spark
Updated Branches:
refs/heads/master c46aaf47f - 1cb2629f1
[HOTFIX] Rename release-profile to release
when publishing releases. We named it as 'release-profile' because that is
the Maven convention. However, it turns out this special name causes several
other things to
Repository: spark
Updated Branches:
refs/heads/branch-1.4 5c080c2ee - 397bafd7d
[HOTFIX] Rename release-profile to release
when publishing releases. We named it as 'release-profile' because that is
the Maven convention. However, it turns out this special name causes several
other things to
Repository: spark
Updated Tags: refs/tags/v1.4.1-rc3 [deleted] f8aab7a7b
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Preparing Spark release v1.4.1-rc3
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[SPARK-8831][SQL] Support AbstractDataType in TypeCollection.
Otherwise it is impossible to declare an expression supporting DecimalType.
Author: Reynold Xin r...@databricks.com
Closes #7232 from
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