Repository: spark
Updated Branches:
refs/heads/branch-2.0 201d5e8db -> 76741b570
[SPARK-15997][DOC][ML] Update user guide for HashingTF, QuantileVectorizer and
CountVectorizer
## What changes were proposed in this pull request?
Made changes to HashingTF,QuantileVectorizer and
Repository: spark
Updated Branches:
refs/heads/master 158af162e -> be88383e1
[SPARK-15997][DOC][ML] Update user guide for HashingTF, QuantileVectorizer and
CountVectorizer
## What changes were proposed in this pull request?
Made changes to HashingTF,QuantileVectorizer and CountVectorizer
Repository: spark
Updated Branches:
refs/heads/master f4fd7432f -> 158af162e
[SPARK-16129][CORE][SQL] Eliminate direct use of commons-lang classes in favor
of commons-lang3
## What changes were proposed in this pull request?
Replace use of `commons-lang` in favor of `commons-lang3` and
Repository: spark
Updated Branches:
refs/heads/branch-2.0 b6420db9e -> 201d5e8db
[SPARK-16129][CORE][SQL] Eliminate direct use of commons-lang classes in favor
of commons-lang3
## What changes were proposed in this pull request?
Replace use of `commons-lang` in favor of `commons-lang3` and
Repository: spark
Updated Branches:
refs/heads/master be88383e1 -> a4851ed05
[SPARK-15963][CORE] Catch `TaskKilledException` correctly in Executor.TaskRunner
## The problem
Before this change, if either of the following cases happened to a task , the
task would be marked as `FAILED` instead
Repository: spark
Updated Branches:
refs/heads/master cc6778ee0 -> 2d2f607bf
[SPARK-13709][SQL] Initialize deserializer with both table and partition
properties when reading partitioned tables
## What changes were proposed in this pull request?
When reading partitions of a partitioned Hive
Repository: spark
Updated Branches:
refs/heads/branch-2.0 3d8d95644 -> 3ccdd6b9c
[SPARK-13709][SQL] Initialize deserializer with both table and partition
properties when reading partitioned tables
## What changes were proposed in this pull request?
When reading partitions of a partitioned
Repository: spark
Updated Branches:
refs/heads/master 2d2f607bf -> f4fd7432f
[SPARK-16125][YARN] Fix not test yarn cluster mode correctly in YarnClusterSuite
## What changes were proposed in this pull request?
Since SPARK-13220(Deprecate "yarn-client" and "yarn-cluster"), YarnClusterSuite
Repository: spark
Updated Branches:
refs/heads/branch-2.0 3ccdd6b9c -> b6420db9e
[SPARK-16125][YARN] Fix not test yarn cluster mode correctly in YarnClusterSuite
## What changes were proposed in this pull request?
Since SPARK-13220(Deprecate "yarn-client" and "yarn-cluster"),
Repository: spark
Updated Branches:
refs/heads/branch-1.6 4fdac3c27 -> d7223bb9f
[SPARK-16077] [PYSPARK] catch the exception from pickle.whichmodule()
## What changes were proposed in this pull request?
In the case that we don't know which module a object came from, will call
Repository: spark
Updated Branches:
refs/heads/branch-2.0 76741b570 -> 4bb8cca44
[SPARK-16077] [PYSPARK] catch the exception from pickle.whichmodule()
## What changes were proposed in this pull request?
In the case that we don't know which module a object came from, will call
Repository: spark
Updated Branches:
refs/heads/master d48935400 -> 5f8de2160
[SQL][MINOR] Simplify data source predicate filter translation.
## What changes were proposed in this pull request?
This is a small patch to rewrite the predicate filter translation in
DataSourceStrategy. The
Repository: spark
Updated Branches:
refs/heads/master 4435de1bd -> a65bcbc27
[SPARK-16186] [SQL] Support partition batch pruning with `IN` predicate in
InMemoryTableScanExec
## What changes were proposed in this pull request?
One of the most frequent usage patterns for Spark SQL is using
Repository: spark
Updated Branches:
refs/heads/master 5f8de2160 -> 4435de1bd
[SPARK-16179][PYSPARK] fix bugs for Python udf in generate
## What changes were proposed in this pull request?
This PR fix the bug when Python UDF is used in explode (generator),
GenerateExec requires that all the
Repository: spark
Updated Branches:
refs/heads/branch-2.0 4bb8cca44 -> df137e3e0
[SPARK-16179][PYSPARK] fix bugs for Python udf in generate
## What changes were proposed in this pull request?
This PR fix the bug when Python UDF is used in explode (generator),
GenerateExec requires that all
Repository: spark
Updated Branches:
refs/heads/branch-2.0 9de095513 -> 9e2384845
[SPARK-16195][SQL] Allow users to specify empty over clause in window
expressions through dataset API
## What changes were proposed in this pull request?
Allow to specify empty over clause in window expressions
Repository: spark
Updated Branches:
refs/heads/master a65bcbc27 -> 20768dade
Revert "[SPARK-16186] [SQL] Support partition batch pruning with `IN` predicate
in InMemoryTableScanExec"
This reverts commit a65bcbc27dcd9b3053cb13c5d67251c8d48f4397.
Project:
Repository: spark
Updated Branches:
refs/heads/master 20768dade -> e5d0928e2
[SPARK-16173] [SQL] Can't join describe() of DataFrame in Scala 2.10
## What changes were proposed in this pull request?
This PR fixes `DataFrame.describe()` by forcing materialization to make the
`Seq`
Repository: spark
Updated Branches:
refs/heads/master e5d0928e2 -> 9053054c7
[SPARK-16195][SQL] Allow users to specify empty over clause in window
expressions through dataset API
## What changes were proposed in this pull request?
Allow to specify empty over clause in window expressions
Repository: spark
Updated Branches:
refs/heads/branch-2.0 df137e3e0 -> 9de095513
[SPARK-16173] [SQL] Can't join describe() of DataFrame in Scala 2.10
## What changes were proposed in this pull request?
This PR fixes `DataFrame.describe()` by forcing materialization to make the
`Seq`
Repository: spark
Updated Branches:
refs/heads/master 9053054c7 -> d2e44d7db
[SPARK-16192][SQL] Add type checks in CollectSet
## What changes were proposed in this pull request?
`CollectSet` cannot have map-typed data because MapTypeData does not implement
`equals`.
So, this pr is to add
Repository: spark
Updated Branches:
refs/heads/branch-2.0 9e2384845 -> d079b5de7
[SPARK-16192][SQL] Add type checks in CollectSet
## What changes were proposed in this pull request?
`CollectSet` cannot have map-typed data because MapTypeData does not implement
`equals`.
So, this pr is to add
Repository: spark
Updated Branches:
refs/heads/master d2e44d7db -> a7d29499d
[SPARK-16186] [SQL] Support partition batch pruning with `IN` predicate in
InMemoryTableScanExec
## What changes were proposed in this pull request?
One of the most frequent usage patterns for Spark SQL is using
Repository: spark
Updated Branches:
refs/heads/branch-1.5 6001138fd -> 576265f83
[SPARK-16173] [SQL] Can't join describe() of DataFrame in Scala 2.10
## What changes were proposed in this pull request?
This PR fixes `DataFrame.describe()` by forcing materialization to make the
`Seq`
Repository: spark
Updated Branches:
refs/heads/branch-1.6 d7223bb9f -> b7acc1b71
[SPARK-16173] [SQL] Can't join describe() of DataFrame in Scala 2.10
## What changes were proposed in this pull request?
This PR fixes `DataFrame.describe()` by forcing materialization to make the
`Seq`
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