Repository: spark
Updated Branches:
refs/heads/master f48938800 -> a4be981c0
[SPARK-24331][SPARKR][SQL] Adding arrays_overlap, array_repeat, map_entries to
SparkR
## What changes were proposed in this pull request?
The PR adds functions `arrays_overlap`, `array_repeat`, `map_entries` to Spar
Author: pwendell
Date: Wed May 30 03:16:28 2018
New Revision: 27154
Log:
Apache Spark 2.4.0-SNAPSHOT-2018_05_29_20_01-f489388 docs
[This commit notification would consist of 1464 parts,
which exceeds the limit of 50 ones, so it was shortened to the summary.]
---
Repository: spark
Updated Branches:
refs/heads/master 900bc1f7d -> f48938800
[SPARK-24365][SQL] Add Data Source write benchmark
## What changes were proposed in this pull request?
Add Data Source write benchmark. So that it would be easier to measure the
writer performance.
Author: Genglian
Author: pwendell
Date: Tue May 29 19:16:27 2018
New Revision: 27151
Log:
Apache Spark 2.4.0-SNAPSHOT-2018_05_29_12_01-900bc1f docs
[This commit notification would consist of 1464 parts,
which exceeds the limit of 50 ones, so it was shortened to the summary.]
---
Repository: spark
Updated Branches:
refs/heads/master aca65c63c -> 900bc1f7d
[SPARK-24371][SQL] Added isInCollection in DataFrame API for Scala and Java.
## What changes were proposed in this pull request?
Implemented **`isInCollection `** in DataFrame API for both Scala and Java, so
users c
Author: pwendell
Date: Tue May 29 15:19:56 2018
New Revision: 27150
Log:
Apache Spark 2.4.0-SNAPSHOT-2018_05_29_08_02-aca65c6 docs
[This commit notification would consist of 1464 parts,
which exceeds the limit of 50 ones, so it was shortened to the summary.]
---
Author: pwendell
Date: Tue May 29 13:17:17 2018
New Revision: 27148
Log:
Apache Spark 2.3.2-SNAPSHOT-2018_05_29_06_01-49a6c2b docs
[This commit notification would consist of 1443 parts,
which exceeds the limit of 50 ones, so it was shortened to the summary.]
---
Repository: spark
Updated Branches:
refs/heads/branch-2.3 fec43fe1b -> 49a6c2b91
[SPARK-23991][DSTREAMS] Fix data loss when WAL write fails in
allocateBlocksToBatch
When blocks tried to get allocated to a batch and WAL write fails then the
blocks will be removed from the received block queue
Repository: spark
Updated Branches:
refs/heads/master 23db600c9 -> aca65c63c
[SPARK-23991][DSTREAMS] Fix data loss when WAL write fails in
allocateBlocksToBatch
When blocks tried to get allocated to a batch and WAL write fails then the
blocks will be removed from the received block queue. Th
Author: pwendell
Date: Tue May 29 07:17:31 2018
New Revision: 27143
Log:
Apache Spark 2.4.0-SNAPSHOT-2018_05_29_00_01-23db600 docs
[This commit notification would consist of 1464 parts,
which exceeds the limit of 50 ones, so it was shortened to the summary.]
---
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