Repository: spark
Updated Branches:
refs/heads/branch-2.0 d3c78c4f3 -> a0c03c925
[SPARK-16606][MINOR] Tiny follow-up to , to correct more instances of the same
log message typo
## What changes were proposed in this pull request?
Tiny follow-up to SPARK-16606 / https://github.com/apache/spark
Repository: spark
Updated Branches:
refs/heads/master 3fbf5a58c -> 7178c5643
[SPARK-16606][MINOR] Tiny follow-up to , to correct more instances of the same
log message typo
## What changes were proposed in this pull request?
Tiny follow-up to SPARK-16606 / https://github.com/apache/spark/pul
Repository: spark
Updated Branches:
refs/heads/master c9720b219 -> 3fbf5a58c
[SPARK-18042][SQL] OutputWriter should expose file path written
## What changes were proposed in this pull request?
This patch adds a new "path" method on OutputWriter that returns the path of
the file written by the
Repository: spark
Updated Branches:
refs/heads/branch-2.0 3e9840f1d -> d3c78c4f3
[STREAMING][KAFKA][DOC] clarify kafka settings needed for larger batches
## What changes were proposed in this pull request?
Minor doc change to mention kafka configuration for larger spark batches.
## How was t
Repository: spark
Updated Branches:
refs/heads/master 268ccb9a4 -> c9720b219
[STREAMING][KAFKA][DOC] clarify kafka settings needed for larger batches
## What changes were proposed in this pull request?
Minor doc change to mention kafka configuration for larger spark batches.
## How was this
Repository: spark
Updated Branches:
refs/heads/branch-2.0 b113b5d9f -> 3e9840f1d
[SPARK-17812][SQL][KAFKA] Assign and specific startingOffsets for structured
stream
## What changes were proposed in this pull request?
startingOffsets takes specific per-topicpartition offsets as a json argumen
Repository: spark
Updated Branches:
refs/heads/master 140570252 -> 268ccb9a4
[SPARK-17812][SQL][KAFKA] Assign and specific startingOffsets for structured
stream
## What changes were proposed in this pull request?
startingOffsets takes specific per-topicpartition offsets as a json argument,
Repository: spark
Updated Branches:
refs/heads/master c1f344f1a -> 140570252
[SPARK-18044][STREAMING] FileStreamSource should not infer partitions in every
batch
## What changes were proposed in this pull request?
In `FileStreamSource.getBatch`, we will create a `DataSource` with specified
Repository: spark
Updated Branches:
refs/heads/master 7a531e305 -> c1f344f1a
[SPARK-17929][CORE] Fix deadlock when CoarseGrainedSchedulerBackend reset
## What changes were proposed in this pull request?
https://issues.apache.org/jira/browse/SPARK-17929
Now `CoarseGrainedSchedulerBackend` res
Repository: spark
Updated Branches:
refs/heads/branch-2.0 af2e6e0c9 -> b113b5d9f
[SPARK-17929][CORE] Fix deadlock when CoarseGrainedSchedulerBackend reset
## What changes were proposed in this pull request?
https://issues.apache.org/jira/browse/SPARK-17929
Now `CoarseGrainedSchedulerBackend`
Repository: spark
Updated Branches:
refs/heads/branch-2.0 78458a7eb -> af2e6e0c9
[SPARK-17926][SQL][STREAMING] Added json for statuses
## What changes were proposed in this pull request?
StreamingQueryStatus exposed through StreamingQueryListener often needs to be
recorded (similar to SparkL
Repository: spark
Updated Branches:
refs/heads/master e371040a0 -> 7a531e305
[SPARK-17926][SQL][STREAMING] Added json for statuses
## What changes were proposed in this pull request?
StreamingQueryStatus exposed through StreamingQueryListener often needs to be
recorded (similar to SparkListe
Repository: spark
Updated Branches:
refs/heads/branch-2.0 a65d40ab6 -> 78458a7eb
[SPARK-17811] SparkR cannot parallelize data.frame with NA or NULL in Date
columns
## What changes were proposed in this pull request?
NA date values are serialized as "NA" and NA time values are serialized as Na
Repository: spark
Updated Branches:
refs/heads/master e21e1c946 -> e371040a0
[SPARK-17811] SparkR cannot parallelize data.frame with NA or NULL in Date
columns
## What changes were proposed in this pull request?
NA date values are serialized as "NA" and NA time values are serialized as NaN
f
Repository: spark
Updated Branches:
refs/heads/master 4efdc764e -> e21e1c946
[SPARK-18013][SPARKR] add crossJoin API
## What changes were proposed in this pull request?
Add crossJoin and do not default to cross join if joinExpr is left out
## How was this patch tested?
unit test
Author: Fe
Repository: spark
Updated Branches:
refs/heads/master b3b4b9542 -> 4efdc764e
[SPARK-17674][SPARKR] check for warning in test output
## What changes were proposed in this pull request?
testthat library we are using for testing R is redirecting warning (and
disabling `options("warn" = 2)`), we
Repository: spark
Updated Branches:
refs/heads/branch-2.0 6cc6cb2a9 -> a65d40ab6
[SPARK-18034] Upgrade to MiMa 0.1.11 to fix flakiness
We should upgrade to the latest release of MiMa (0.1.11) in order to include a
fix for a bug which led to flakiness in the MiMa checks
(https://github.com/ty
Repository: spark
Updated Branches:
refs/heads/master 3a237512b -> b3b4b9542
[SPARK-18034] Upgrade to MiMa 0.1.11 to fix flakiness
We should upgrade to the latest release of MiMa (0.1.11) in order to include a
fix for a bug which led to flakiness in the MiMa checks
(https://github.com/typesa
Repository: spark
Updated Branches:
refs/heads/master a8ea4da8d -> 3a237512b
[SPARK-13275][WEB UI] Visually clarified executors start time in timeline
## What changes were proposed in this pull request?
Updated the Executors added/removed bubble in the time line so it's clearer
where it star
Repository: spark
Updated Branches:
refs/heads/master 57e97fcbd -> 595893d33
[SPARK-17960][PYSPARK][UPGRADE TO PY4J 0.10.4]
## What changes were proposed in this pull request?
1) Upgrade the Py4J version on the Java side
2) Update the py4j src zip file we bundle with Spark
## How was this pa
Repository: spark
Updated Branches:
refs/heads/master 595893d33 -> a8ea4da8d
[SPARK-17331][FOLLOWUP][ML][CORE] Avoid allocating 0-length arrays
## What changes were proposed in this pull request?
`Array[T]()` -> `Array.empty[T]` to avoid allocating 0-length arrays.
Use regex `find . -name '*.
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