Repository: spark
Updated Branches:
refs/heads/master 2eb6764fb -> b28fe4a4a
[SPARK-18538][SQL] Fix Concurrent Table Fetching Using DataFrameReader JDBC APIs
### What changes were proposed in this pull request?
The following two `DataFrameReader` JDBC APIs ignore the user-specified
Repository: spark
Updated Branches:
refs/heads/branch-2.1 7d4596734 -> e8d8e3509
[SPARK-18476][SPARKR][ML] SparkR Logistic Regression should should support
output original label.
## What changes were proposed in this pull request?
Similar to SPARK-18401, as a classification algorithm,
Repository: spark
Updated Branches:
refs/heads/master 0a811210f -> 2eb6764fb
[SPARK-18476][SPARKR][ML] SparkR Logistic Regression should should support
output original label.
## What changes were proposed in this pull request?
Similar to SPARK-18401, as a classification algorithm, logistic
Repository: spark
Updated Branches:
refs/heads/branch-2.1 6e2e987bd -> 7d4596734
[SPARK-18617][SPARK-18560][TEST] Fix flaky test: StreamingContextSuite.
Receiver data should be deserialized properly
## What changes were proposed in this pull request?
Fixed the potential SparkContext leak in
Repository: spark
Updated Branches:
refs/heads/master c4979f6ea -> 0a811210f
[SPARK-18617][SPARK-18560][TEST] Fix flaky test: StreamingContextSuite.
Receiver data should be deserialized properly
## What changes were proposed in this pull request?
Fixed the potential SparkContext leak in
Repository: spark
Updated Branches:
refs/heads/branch-2.1 c2c2fdcb7 -> 6e2e987bd
[SPARK-18655][SS] Ignore Structured Streaming 2.0.2 logs in history server
## What changes were proposed in this pull request?
As `queryStatus` in StreamingQueryListener events was removed in #15954,
parsing
Repository: spark
Updated Branches:
refs/heads/master 93e9d880b -> c4979f6ea
[SPARK-18655][SS] Ignore Structured Streaming 2.0.2 logs in history server
## What changes were proposed in this pull request?
As `queryStatus` in StreamingQueryListener events was removed in #15954,
parsing 2.0.2
Repository: spark
Updated Branches:
refs/heads/branch-2.1 9e96ac5a9 -> c2c2fdcb7
[SPARK-18546][CORE] Fix merging shuffle spills when using encryption.
The problem exists because it's not possible to just concatenate encrypted
partition data from different spill files; currently each partition
Repository: spark
Updated Branches:
refs/heads/master f135b70fd -> 93e9d880b
[SPARK-18546][CORE] Fix merging shuffle spills when using encryption.
The problem exists because it's not possible to just concatenate encrypted
partition data from different spill files; currently each partition
Repository: spark
Updated Branches:
refs/heads/branch-2.1 f542df310 -> 9e96ac5a9
[SPARK-18251][SQL] the type of Dataset can't be Option of non-flat type
## What changes were proposed in this pull request?
For input object of non-flat type, we can't encode it to row if it's null, as
Spark
Repository: spark
Updated Branches:
refs/heads/master 60022bfd6 -> f135b70fd
[SPARK-18251][SQL] the type of Dataset can't be Option of non-flat type
## What changes were proposed in this pull request?
For input object of non-flat type, we can't encode it to row if it's null, as
Spark SQL
Repository: spark
Updated Branches:
refs/heads/branch-2.0 1b1c849bf -> 5ecd3c23a
[SPARK][EXAMPLE] Added missing semicolon in quick-start-guide example
## What changes were proposed in this pull request?
Added missing semicolon in quick-start-guide java example code which wasn't
compiling
Repository: spark
Updated Branches:
refs/heads/branch-2.0 8b33aa089 -> 1b1c849bf
[SPARK-18640] Add synchronization to TaskScheduler.runningTasksByExecutors
## What changes were proposed in this pull request?
The method `TaskSchedulerImpl.runningTasksByExecutors()` accesses the mutable
Repository: spark
Updated Branches:
refs/heads/branch-2.1 eae85da38 -> 7c0e2962d
[SPARK-18640] Add synchronization to TaskScheduler.runningTasksByExecutors
## What changes were proposed in this pull request?
The method `TaskSchedulerImpl.runningTasksByExecutors()` accesses the mutable
Repository: spark
Updated Branches:
refs/heads/branch-2.1 6e044ab9a -> 3de93fb48
[SPARK-18220][SQL] read Hive orc table with varchar column should not fail
## What changes were proposed in this pull request?
Spark SQL only has `StringType`, when reading hive table with varchar column,
we
Repository: spark
Updated Branches:
refs/heads/master c24076dcf -> 3f03c90a8
[SPARK-18220][SQL] read Hive orc table with varchar column should not fail
## What changes were proposed in this pull request?
Spark SQL only has `StringType`, when reading hive table with varchar column,
we will
Repository: spark
Updated Branches:
refs/heads/branch-2.1 7043c6b69 -> 05ba5eed7
[SPARK-18612][MLLIB] Delete broadcasted variable in LBFGS CostFun
## What changes were proposed in this pull request?
Fix a broadcasted variable leak occurring at each invocation of CostFun in
L-BFGS.
## How
Repository: spark
Updated Branches:
refs/heads/master fe854f2e4 -> c5a64d760
[SPARK-18612][MLLIB] Delete broadcasted variable in LBFGS CostFun
## What changes were proposed in this pull request?
Fix a broadcasted variable leak occurring at each invocation of CostFun in
L-BFGS.
## How was
Repository: spark
Updated Branches:
refs/heads/master 56c82edab -> fe854f2e4
[SPARK-18366][PYSPARK][ML] Add handleInvalid to Pyspark for QuantileDiscretizer
and Bucketizer
## What changes were proposed in this pull request?
added the new handleInvalid param for these transformers to Python
Repository: spark
Updated Branches:
refs/heads/branch-2.1 5e4afbfb6 -> 7043c6b69
[SPARK-18366][PYSPARK][ML] Add handleInvalid to Pyspark for QuantileDiscretizer
and Bucketizer
## What changes were proposed in this pull request?
added the new handleInvalid param for these transformers to
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