Repository: spark
Updated Branches:
refs/heads/branch-2.0 b5d65b45d -> 90e046024
[SPARK-16772][PYTHON][DOCS] Fix API doc references to UDFRegistration + Update
"important classes"
## Proposed Changes
* Update the list of "important classes" in `pyspark.sql` to match 2.0.
* Fix references to
Repository: spark
Updated Branches:
refs/heads/master 14dba4520 -> 2dd038861
[SPARK-16772][PYTHON][DOCS] Fix API doc references to UDFRegistration + Update
"important classes"
## Proposed Changes
* Update the list of "important classes" in `pyspark.sql` to match 2.0.
* Fix references to `UDF
Repository: spark
Updated Branches:
refs/heads/master 55d6dad6f -> 14dba4520
[SPARK-16796][WEB UI] Mask spark.authenticate.secret on Spark environâ¦
## What changes were proposed in this pull request?
Mask `spark.authenticate.secret` on Spark environment page (Web UI).
This is addition to ht
Repository: spark
Updated Branches:
refs/heads/master e679bc3c1 -> 55d6dad6f
[SPARK-16847][SQL] Prevent to potentially read corrupt statstics on binary in
Parquet vectorized reader
## What changes were proposed in this pull request?
This problem was found in
[PARQUET-251](https://issues.apa
Repository: spark
Updated Branches:
refs/heads/branch-2.0 d99d90982 -> b5d65b45d
[SPARK-16901] Hive settings in hive-site.xml may be overridden by Hive's
default values
## What changes were proposed in this pull request?
When we create the HiveConf for metastore client, we use a Hadoop Conf a
Repository: spark
Updated Branches:
refs/heads/master 6cbde337a -> e679bc3c1
[SPARK-16901] Hive settings in hive-site.xml may be overridden by Hive's
default values
## What changes were proposed in this pull request?
When we create the HiveConf for metastore client, we use a Hadoop Conf as th
Repository: spark
Updated Branches:
refs/heads/branch-2.0 7fbac48f0 -> d99d90982
[SPARK-16750][FOLLOW-UP][ML] Add transformSchema for
StringIndexer/VectorAssembler and fix failed tests.
## What changes were proposed in this pull request?
This is follow-up for #14378. When we add ```transformS
Repository: spark
Updated Branches:
refs/heads/master 1f96c97f2 -> 6cbde337a
[SPARK-16750][FOLLOW-UP][ML] Add transformSchema for
StringIndexer/VectorAssembler and fix failed tests.
## What changes were proposed in this pull request?
This is follow-up for #14378. When we add ```transformSchem
Repository: spark
Updated Branches:
refs/heads/master 180fd3e0a -> 1f96c97f2
[SPARK-13238][CORE] Add ganglia dmax parameter
The current ganglia reporter doesn't set metric expiration time (dmax). The
metrics of all finished applications are indefinitely left displayed in ganglia
web. The dma
http://git-wip-us.apache.org/repos/asf/spark/blob/180fd3e0/examples/src/main/java/org/apache/spark/examples/JavaPageRank.java
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diff --git a/examples/src/main/java/org/apache/spark/examples/JavaPageRank.java
b/examples/src/main/j
http://git-wip-us.apache.org/repos/asf/spark/blob/180fd3e0/data/mllib/sample_tree_data.csv
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diff --git a/data/mllib/sample_tree_data.csv b/data/mllib/sample_tree_data.csv
deleted file mode 100644
index bc97e29..000
--- a/data
[SPARK-16421][EXAMPLES][ML] Improve ML Example Outputs
## What changes were proposed in this pull request?
Improve example outputs to better reflect the functionality that is being
presented. This mostly consisted of modifying what was printed at the end of
the example, such as calling show() w
Repository: spark
Updated Branches:
refs/heads/master 2460f03ff -> 180fd3e0a
http://git-wip-us.apache.org/repos/asf/spark/blob/180fd3e0/examples/src/main/scala/org/apache/spark/examples/ml/NormalizerExample.scala
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diff --git
http://git-wip-us.apache.org/repos/asf/spark/blob/180fd3e0/data/mllib/lr_data.txt
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diff --git a/data/mllib/lr_data.txt b/data/mllib/lr_data.txt
deleted file mode 100644
index d4df063..000
--- a/data/mllib/lr_data.txt
+++ /dev
Repository: spark
Updated Branches:
refs/heads/master 39a2b2ea7 -> 2460f03ff
[SPARK-16826][SQL] Switch to java.net.URI for parse_url()
## What changes were proposed in this pull request?
The java.net.URL class has a globally synchronized Hashtable, which limits the
throughput of any single ex
Repository: spark
Updated Branches:
refs/heads/master e02606414 -> 39a2b2ea7
[SPARK-16625][SQL] General data types to be mapped to Oracle
## What changes were proposed in this pull request?
Spark will convert **BooleanType** to **BIT(1)**, **LongType** to **BIGINT**,
**ByteType** to **BYTE*
Repository: spark
Updated Branches:
refs/heads/branch-2.0 b4a89c1c1 -> 7fbac48f0
[MINOR] Update AccumulatorV2 doc to not mention "+=".
## What changes were proposed in this pull request?
As reported by Bryan Cutler on the mailing list, AccumulatorV2 does not have a
+= method, yet the document
Repository: spark
Updated Branches:
refs/heads/master c9f2501af -> e02606414
[MINOR] Update AccumulatorV2 doc to not mention "+=".
## What changes were proposed in this pull request?
As reported by Bryan Cutler on the mailing list, AccumulatorV2 does not have a
+= method, yet the documentatio
Repository: spark
Updated Branches:
refs/heads/master 5effc016c -> c9f2501af
[SPARK-16312][STREAMING][KAFKA][DOC] Doc for Kafka 0.10 integration
## What changes were proposed in this pull request?
Doc for the Kafka 0.10 integration
## How was this patch tested?
Scala code examples were taken
Repository: spark
Updated Branches:
refs/heads/branch-2.0 dae08fb5a -> b4a89c1c1
[SPARK-16312][STREAMING][KAFKA][DOC] Doc for Kafka 0.10 integration
## What changes were proposed in this pull request?
Doc for the Kafka 0.10 integration
## How was this patch tested?
Scala code examples were ta
Repository: spark
Updated Branches:
refs/heads/master faaefab26 -> 5effc016c
[SPARK-16879][SQL] unify logical plans for CREATE TABLE and CTAS
## What changes were proposed in this pull request?
we have various logical plans for CREATE TABLE and CTAS: `CreateTableUsing`,
`CreateTableUsingAsSe
Repository: spark
Updated Branches:
refs/heads/master 1fa644497 -> faaefab26
[SPARK-15726][SQL] Make DatasetBenchmark fairer among Dataset, DataFrame and RDD
## What changes were proposed in this pull request?
DatasetBenchmark compares the performances of RDD, DataFrame and Dataset while
run
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