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- SPARK-17193
HadoopRDD NPE at DEBUG log level when getLocationInfo == null - SPARK-18038
Move output partitioning definition from UnaryNodeExec to its children - SPARK-17880
The url linking to `AccumulatorV2` in the document is incorrect. - SPARK-17862
Feature flag SPARK-16980 - SPARK-17715
Log INFO per task launch creates a large driver log - SPARK-17558
Bump Hadoop 2.7 version from 2.7.2 to 2.7.3 - SPARK-17736
Update R README for rmarkdown, pandoc - SPARK-19016
Document scalable partition handling feature in the programming guide - SPARK-17096
Fix StreamingQueryListener to return message and stacktrace of actual exception - SPARK-17178
Allow to set sparkr shell command through --conf - SPARK-16965
Fix bound checking for SparseVector - SPARK-15926
Improve readability of DAGScheduler stage creation methods - SPARK-15309
Bump master to version 2.1.0-SNAPSHOT - SPARK-17205
Literal.sql does not properly convert NaN and Infinity literals - SPARK-16703
Extra space in WindowSpecDefinition SQL representation - SPARK-16307
Improve testing for DecisionTree variances - SPARK-15453
FileSourceScanExec to extract `outputOrdering` information - SPARK-16007
Empty DataFrame created with spark.read.csv() does not respect user specified schema - SPARK-15927
Eliminate redundant code in DAGScheduler's getParentStages and getAncestorShuffleDependencies methods. - SPARK-16749
Clean-up OffsetWindowFrame - SPARK-16726
Improve `Union/Intersect/Except` error messages on incompatible types - SPARK-16694
Use for/foreach rather than map for Unit expressions whose side effects are required - SPARK-16291
Invalid aggregate functions like MAX(COUNT(*)) are not captured by CheckAnalysis - SPARK-18088
ChiSqSelector FPR PR cleanups - SPARK-17246
Support BigDecimal literal parsing - SPARK-17389
KMeans speedup with better choice of k-means|| init steps = 2 - SPARK-16734
Make sure examples in all language bindings are consistent - SPARK-17717
Add existence checks to user facing catalog - SPARK-17320
Spark Mesos module not building on PRs - SPARK-18921
check database existence with Hive.databaseExists instead of getDatabase - SPARK-18633
Add multiclass logistic regression summary python example and document - SPARK-18517
DROP TABLE IF EXISTS should not warn for non-existing tables - SPARK-18488
Update the value of "spark.ui.port" after application started in cluster mode. - SPARK-18259
QueryExecution should not catch Throwable - SPARK-18947
SQLContext.tableNames should not call Catalog.listTables - SPARK-18597
Do not push down filters for LEFT ANTI JOIN - SPARK-18498
Clean up HDFSMetadataLog API for better testing - SPARK-19431
Use HTML Relative Links to Access UI Behind Gateways - SPARK-14237
De-duplicate partition value appending logic in various buildReader() implementations - SPARK-15204
Improve nullability inference for Aggregator - SPARK-11272
Support importing and exporting event logs from HistoryServer web portal - SPARK-17559
PeriodicGraphCheckpointer did not persist edges as expected in some cases - SPARK-17304
TaskSetManager.abortIfCompletelyBlacklisted is a perf. hotspot in scheduler benchmark - SPARK-17686
Propose to print Scala version in "spark-submit --version" command - SPARK-17445
Reference an ASF page as the main place to find third-party packages - SPARK-17665
SparkR does not support options in other types consistently other APIs - SPARK-18705
Docs for one-pass solver for linear regression with L1 and elastic-net penalties - SPARK-17616
Getting "java.lang.RuntimeException: Distinct columns cannot exist in Aggregate " - SPARK-17648
TaskSchedulerImpl.resourceOffers should take an IndexedSeq, not a Seq - SPARK-17587
SparseVector __getitem__ should follow __getitem__ contract
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