Repository: spark
Updated Branches:
refs/heads/master 4374a46bf -> 5eef1e6c6
[SPARK-15660][CORE] Update RDD `variance/stdev` description and add
popVariance/popStdev
## What changes were proposed in this pull request?
In Spark-11490, `variance/stdev` are redefined as the **sample**
Repository: spark
Updated Branches:
refs/heads/branch-2.0 4ad731ed6 -> 567093596
[SPARK-16154][MLLIB] Update spark.ml and spark.mllib package docs
## What changes were proposed in this pull request?
Since we decided to switch spark.mllib package into maintenance mode in 2.0, it
would be
Repository: spark
Updated Branches:
refs/heads/master 5bf2889bf -> 65d1f0f71
[SPARK-16154][MLLIB] Update spark.ml and spark.mllib package docs
## What changes were proposed in this pull request?
Since we decided to switch spark.mllib package into maintenance mode in 2.0, it
would be nice to
Repository: spark
Updated Branches:
refs/heads/master 5eef1e6c6 -> 5bf2889bf
[SPARK-16138] Try to cancel executor requests only if we have at least 1
## What changes were proposed in this pull request?
Adding additional check to if statement
## How was this patch tested?
I built and deployed
Repository: spark
Updated Branches:
refs/heads/branch-2.0 9f18c8f38 -> 63fd3301c
[SPARK-16116][SQL] ConsoleSink should not require checkpointLocation
## What changes were proposed in this pull request?
When the user uses `ConsoleSink`, we should use a temp location if
`checkpointLocation`
Repository: spark
Updated Branches:
refs/heads/master d85bb10ce -> 60398dabc
[SPARK-16130][ML] model loading backward compatibility for
ml.classfication.LogisticRegression
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16130
model
Repository: spark
Updated Branches:
refs/heads/branch-2.0 dff3d75db -> 214676d29
[SPARK-16163] [SQL] Cache the statistics for logical plans
## What changes were proposed in this pull request?
This calculation of statistics is not trivial anymore, it could be very slow on
large query (for
Repository: spark
Updated Branches:
refs/heads/master 60398dabc -> 10396d950
[SPARK-16163] [SQL] Cache the statistics for logical plans
## What changes were proposed in this pull request?
This calculation of statistics is not trivial anymore, it could be very slow on
large query (for
Repository: spark
Updated Branches:
refs/heads/branch-2.0 214676d29 -> b8818d892
[SPARK-15725][YARN] Ensure ApplicationMaster sleeps for the min interval.
## What changes were proposed in this pull request?
Update `ApplicationMaster` to sleep for at least the minimum allocation
interval
Repository: spark
Updated Branches:
refs/heads/master a410814c8 -> 738f134bf
[SPARK-13723][YARN] Change behavior of --num-executors with dynamic allocation.
## What changes were proposed in this pull request?
This changes the behavior of --num-executors and spark.executor.instances when
Repository: spark
Updated Branches:
refs/heads/master b5a997667 -> d85bb10ce
[SPARK-16116][SQL] ConsoleSink should not require checkpointLocation
## What changes were proposed in this pull request?
When the user uses `ConsoleSink`, we should use a temp location if
`checkpointLocation` is
Repository: spark
Updated Branches:
refs/heads/master 738f134bf -> 91b1ef28d
[SPARK-16164][SQL] Update `CombineFilters` to try to construct predicates with
child predicate first
## What changes were proposed in this pull request?
This PR changes `CombineFilters` to compose the final
Repository: spark
Updated Branches:
refs/heads/branch-2.0 2ce240cfe -> 6cb24de99
[SPARK-16164][SQL] Update `CombineFilters` to try to construct predicates with
child predicate first
## What changes were proposed in this pull request?
This PR changes `CombineFilters` to compose the final
Repository: spark
Updated Branches:
refs/heads/branch-2.0 6cb24de99 -> 05677bb5a
[SPARK-15443][SQL] Fix 'explain' for streaming Dataset
## What changes were proposed in this pull request?
- Fix the `explain` command for streaming Dataset/DataFrame. E.g.,
```
== Parsed Logical Plan ==
Repository: spark
Updated Branches:
refs/heads/master 65d1f0f71 -> b5a997667
[SPARK-16088][SPARKR] update setJobGroup, cancelJobGroup, clearJobGroup
## What changes were proposed in this pull request?
Updated setJobGroup, cancelJobGroup, clearJobGroup to not require
sc/SparkContext as
Repository: spark
Updated Branches:
refs/heads/branch-2.0 567093596 -> 9f18c8f38
[SPARK-16088][SPARKR] update setJobGroup, cancelJobGroup, clearJobGroup
## What changes were proposed in this pull request?
Updated setJobGroup, cancelJobGroup, clearJobGroup to not require
sc/SparkContext as
Repository: spark
Updated Branches:
refs/heads/master 14bc5a7f3 -> 4a40d43bb
[SPARK-16142][R] group naiveBayes method docs in a single Rd
## What changes were proposed in this pull request?
This PR groups `spark.naiveBayes`, `summary(NB)`, `predict(NB)`, and
`write.ml(NB)` into a single Rd.
Repository: spark
Updated Branches:
refs/heads/branch-2.0 ea0cf93d3 -> 557eee5b6
[SPARK-16142][R] group naiveBayes method docs in a single Rd
## What changes were proposed in this pull request?
This PR groups `spark.naiveBayes`, `summary(NB)`, `predict(NB)`, and
`write.ml(NB)` into a single
Repository: spark
Updated Branches:
refs/heads/branch-2.0 557eee5b6 -> 3d8d95644
[SPARK-16133][ML] model loading backward compatibility for ml.feature
## What changes were proposed in this pull request?
model loading backward compatibility for ml.feature,
## How was this patch tested?
Repository: spark
Updated Branches:
refs/heads/branch-2.0 05677bb5a -> e8d1bf60a
[SPARK-16165][SQL] Fix the update logic for InMemoryTableScanExec.readBatches
## What changes were proposed in this pull request?
Currently, `readBatches` accumulator of `InMemoryTableScanExec` is updated only
Repository: spark
Updated Branches:
refs/heads/branch-2.0 e8d1bf60a -> edd5dd24a
[SPARK-16123] Avoid NegativeArraySizeException while reserving additional
capacity in VectorizedColumnReader
## What changes were proposed in this pull request?
This patch fixes an overflow bug in vectorized
Repository: spark
Updated Branches:
refs/heads/master 264bc6362 -> cc71d4fa3
[SPARK-16123] Avoid NegativeArraySizeException while reserving additional
capacity in VectorizedColumnReader
## What changes were proposed in this pull request?
This patch fixes an overflow bug in vectorized
Repository: spark
Updated Branches:
refs/heads/master 91b1ef28d -> 0e4bdebec
[SPARK-15443][SQL] Fix 'explain' for streaming Dataset
## What changes were proposed in this pull request?
- Fix the `explain` command for streaming Dataset/DataFrame. E.g.,
```
== Parsed Logical Plan ==
Repository: spark
Updated Branches:
refs/heads/master 0e4bdebec -> 264bc6362
[SPARK-16165][SQL] Fix the update logic for InMemoryTableScanExec.readBatches
## What changes were proposed in this pull request?
Currently, `readBatches` accumulator of `InMemoryTableScanExec` is updated only
when
Repository: spark
Updated Branches:
refs/heads/branch-2.0 63fd3301c -> dff3d75db
[SPARK-16130][ML] model loading backward compatibility for
ml.classfication.LogisticRegression
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16130
model
Repository: spark
Updated Branches:
refs/heads/branch-2.0 edd5dd24a -> a6edec2c5
[SQL][MINOR] ParserUtils.operationNotAllowed should throw exception directly
## What changes were proposed in this pull request?
It's weird that `ParserUtils.operationNotAllowed` returns an exception and the
Repository: spark
Updated Branches:
refs/heads/master cc71d4fa3 -> 6a3c6276f
[SQL][MINOR] ParserUtils.operationNotAllowed should throw exception directly
## What changes were proposed in this pull request?
It's weird that `ParserUtils.operationNotAllowed` returns an exception and the
caller
Repository: spark
Updated Branches:
refs/heads/branch-2.0 a6edec2c5 -> ea0cf93d3
[SPARK-16177][ML] model loading backward compatibility for ml.regression
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16177
model loading backward
Repository: spark
Updated Branches:
refs/heads/master 6a3c6276f -> 14bc5a7f3
[SPARK-16177][ML] model loading backward compatibility for ml.regression
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16177
model loading backward
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