Commit graph

21285 commits

Author SHA1 Message Date
Wenchen Fan 5d680cae48 [SPARK-23090][SQL] polish ColumnVector
## What changes were proposed in this pull request?

Several improvements:
* provide a default implementation for the batch get methods
* rename `getChildColumn` to `getChild`, which is more concise
* remove `getStruct(int, int)`, it's only used to simplify the codegen, which is an internal thing, we should not add a public API for this purpose.

## How was this patch tested?

existing tests

Author: Wenchen Fan <wenchen@databricks.com>

Closes #20277 from cloud-fan/column-vector.
2018-01-22 20:56:38 +08:00
gatorsmile 896e45af5f [MINOR][SQL][TEST] Test case cleanups for recent PRs
## What changes were proposed in this pull request?
Revert the unneeded test case changes we made in SPARK-23000

Also fixes the test suites that do not call `super.afterAll()` in the local `afterAll`. The `afterAll()` of `TestHiveSingleton` actually reset the environments.

## How was this patch tested?
N/A

Author: gatorsmile <gatorsmile@gmail.com>

Closes #20341 from gatorsmile/testRelated.
2018-01-22 04:32:59 -08:00
gatorsmile 78801881c4 [SPARK-23170][SQL] Dump the statistics of effective runs of analyzer and optimizer rules
## What changes were proposed in this pull request?

Dump the statistics of effective runs of analyzer and optimizer rules.

## How was this patch tested?

Do a manual run of TPCDSQuerySuite

```
=== Metrics of Analyzer/Optimizer Rules ===
Total number of runs: 175899
Total time: 25.486559948 seconds

Rule                                                                                               Effective Time / Total Time                     Effective Runs / Total Runs

org.apache.spark.sql.catalyst.optimizer.ColumnPruning                                              1603280450 / 2868461549                         761 / 1877
org.apache.spark.sql.catalyst.analysis.Analyzer$CTESubstitution                                    2045860009 / 2056602674                         37 / 788
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggregateFunctions                          440719059 / 1693110949                          38 / 1982
org.apache.spark.sql.catalyst.optimizer.Optimizer$OptimizeSubqueries                               1429834919 / 1446016225                         39 / 285
org.apache.spark.sql.catalyst.optimizer.PruneFilters                                               33273083 / 1389586938                           3 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences                                  821183615 / 1266668754                          616 / 1982
org.apache.spark.sql.catalyst.optimizer.ReorderJoin                                                775837028 / 866238225                           132 / 1592
org.apache.spark.sql.catalyst.analysis.DecimalPrecision                                            550683593 / 748854507                           211 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery                                    513075345 / 634370596                           49 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$FixNullability                                     33475731 / 606406532                            12 / 742
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts                              193144298 / 545403925                           86 / 1982
org.apache.spark.sql.catalyst.optimizer.BooleanSimplification                                      18651497 / 495725004                            7 / 1592
org.apache.spark.sql.catalyst.optimizer.PushPredicateThroughJoin                                   369257217 / 489934378                           709 / 1592
org.apache.spark.sql.catalyst.optimizer.RemoveRedundantAliases                                     3707000 / 468291609                             9 / 1592
org.apache.spark.sql.catalyst.optimizer.InferFiltersFromConstraints                                410155900 / 435254175                           192 / 285
org.apache.spark.sql.execution.datasources.FindDataSourceTable                                     348885539 / 371855866                           233 / 1982
org.apache.spark.sql.catalyst.optimizer.NullPropagation                                            11307645 / 307531225                            26 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions                                   120324545 / 304948785                           294 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$FunctionArgumentConversion                     92323199 / 286695007                            38 / 1982
org.apache.spark.sql.catalyst.optimizer.PushDownPredicate                                          230084193 / 265845972                           785 / 1592
org.apache.spark.sql.catalyst.analysis.TypeCoercion$PromoteStrings                                 45938401 / 265144009                            40 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$InConversion                                   14888776 / 261499450                            1 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$CaseWhenCoercion                               113796384 / 244913861                           29 / 1982
org.apache.spark.sql.catalyst.optimizer.ConstantFolding                                            65008069 / 236548480                            126 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator                                   0 / 226338929                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.ResolveTimeZone                                             98134906 / 221323770                            417 / 1982
org.apache.spark.sql.catalyst.optimizer.ReorderAssociativeOperator                                 0 / 208421703                                   0 / 1592
org.apache.spark.sql.catalyst.optimizer.OptimizeIn                                                 8762534 / 199351958                             16 / 1592
org.apache.spark.sql.catalyst.analysis.TypeCoercion$DateTimeOperations                             11980016 / 190779046                            27 / 1982
org.apache.spark.sql.catalyst.optimizer.SimplifyBinaryComparison                                   0 / 188887385                                   0 / 1592
org.apache.spark.sql.catalyst.optimizer.SimplifyConditionals                                       0 / 186812106                                   0 / 1592
org.apache.spark.sql.catalyst.optimizer.SimplifyCaseConversionExpressions                          0 / 183885230                                   0 / 1592
org.apache.spark.sql.catalyst.optimizer.SimplifyCasts                                              17128295 / 182901910                            69 / 1592
org.apache.spark.sql.catalyst.analysis.TypeCoercion$Division                                       14579110 / 180309340                            8 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$BooleanEquality                                0 / 176740516                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$IfCoercion                                     0 / 170781986                                   0 / 1982
org.apache.spark.sql.catalyst.optimizer.LikeSimplification                                         771605 / 164136736                              1 / 1592
org.apache.spark.sql.catalyst.optimizer.RemoveDispensableExpressions                               0 / 155958962                                   0 / 1592
org.apache.spark.sql.catalyst.analysis.ResolveCreateNamedStruct                                    0 / 151222943                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowOrder                                 7534632 / 146596355                             14 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$EltCoercion                                    0 / 144488654                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$ConcatCoercion                                 0 / 142403338                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowFrame                                 12067635 / 141500665                            21 / 1982
org.apache.spark.sql.catalyst.analysis.TimeWindowing                                               0 / 140431958                                   0 / 1982
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WindowFrameCoercion                            0 / 125471960                                   0 / 1982
org.apache.spark.sql.catalyst.optimizer.EliminateOuterJoin                                         14226972 / 124922019                            11 / 1592
org.apache.spark.sql.catalyst.analysis.TypeCoercion$StackCoercion                                  0 / 123613887                                   0 / 1982
org.apache.spark.sql.catalyst.optimizer.RewriteCorrelatedScalarSubquery                            8491071 / 121179056                             7 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGroupingAnalytics                           55526073 / 120290529                            11 / 1982
org.apache.spark.sql.catalyst.optimizer.ConstantPropagation                                        0 / 113886790                                   0 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveDeserializer                                52383759 / 107160222                            148 / 1982
org.apache.spark.sql.catalyst.analysis.CleanupAliases                                              52543524 / 102091518                            344 / 1086
org.apache.spark.sql.catalyst.optimizer.RemoveRedundantProject                                     40682895 / 94403652                             342 / 1877
org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractWindowExpressions                           38473816 / 89740578                             23 / 1982
org.apache.spark.sql.catalyst.optimizer.CollapseProject                                            46806090 / 83315506                             281 / 1877
org.apache.spark.sql.catalyst.optimizer.FoldablePropagation                                        0 / 78750087                                    0 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAliases                                     13742765 / 77227258                             47 / 1982
org.apache.spark.sql.catalyst.optimizer.CombineFilters                                             53386729 / 76960344                             448 / 1592
org.apache.spark.sql.execution.datasources.DataSourceAnalysis                                      68034341 / 75724186                             24 / 742
org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions                                    0 / 71151084                                    0 / 750
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveMissingReferences                           12139848 / 67599140                             8 / 1982
org.apache.spark.sql.catalyst.optimizer.PullupCorrelatedPredicates                                 45017938 / 65968777                             23 / 285
org.apache.spark.sql.execution.datasources.v2.PushDownOperatorsToDataSource                        0 / 60937767                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.CollapseRepartition                                        0 / 59897237                                    0 / 1592
org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion                                 8547262 / 53941370                              10 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$HandleNullInputsForUDF                             0 / 52735976                                    0 / 742
org.apache.spark.sql.catalyst.analysis.TypeCoercion$WidenSetOperationTypes                         9797713 / 52401665                              9 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$PullOutNondeterministic                            0 / 51741500                                    0 / 742
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations                                   28614911 / 51061186                             233 / 1990
org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions                               0 / 50621510                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.CombineUnions                                              2777800 / 50262112                              17 / 1877
org.apache.spark.sql.catalyst.analysis.Analyzer$GlobalAggregates                                   1640641 / 49633909                              46 / 1982
org.apache.spark.sql.catalyst.optimizer.DecimalAggregates                                          20198374 / 48488419                             100 / 385
org.apache.spark.sql.catalyst.optimizer.LimitPushDown                                              0 / 45052523                                    0 / 1592
org.apache.spark.sql.catalyst.optimizer.CombineLimits                                              0 / 44719443                                    0 / 1592
org.apache.spark.sql.catalyst.optimizer.EliminateSorts                                             0 / 44216930                                    0 / 1592
org.apache.spark.sql.catalyst.optimizer.RewritePredicateSubquery                                   36235699 / 44165786                             148 / 285
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNewInstance                                 0 / 42750307                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveUpCast                                      0 / 41811748                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveOrdinalInOrderByAndGroupBy                  3819476 / 41776562                              4 / 1982
org.apache.spark.sql.catalyst.optimizer.ComputeCurrentTime                                         0 / 40527808                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.CollapseWindow                                             0 / 36832538                                    0 / 1592
org.apache.spark.sql.catalyst.optimizer.EliminateSerialization                                     0 / 36120667                                    0 / 1592
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggAliasInGroupBy                           0 / 32435826                                    0 / 1982
org.apache.spark.sql.execution.datasources.PreprocessTableCreation                                 0 / 32145218                                    0 / 742
org.apache.spark.sql.execution.datasources.ResolveSQLOnFile                                        0 / 30295614                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot                                       0 / 30111655                                    0 / 1982
org.apache.spark.sql.catalyst.expressions.codegen.package$ExpressionCanonicalizer$CleanExpressions 59930 / 28038201                                26 / 8280
org.apache.spark.sql.catalyst.analysis.ResolveInlineTables                                         0 / 27808108                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubqueryColumnAliases                       0 / 27066690                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGenerate                                    0 / 26660210                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveNaturalAndUsingJoin                         0 / 25255184                                    0 / 1982
org.apache.spark.sql.catalyst.analysis.ResolveTableValuedFunctions                                 0 / 24663088                                    0 / 1990
org.apache.spark.sql.catalyst.analysis.SubstituteUnresolvedOrdinals                                9709079 / 24450670                              4 / 788
org.apache.spark.sql.catalyst.analysis.ResolveHints$ResolveBroadcastHints                          0 / 23776535                                    0 / 750
org.apache.spark.sql.catalyst.optimizer.ReplaceExpressions                                         0 / 22697895                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.CheckCartesianProducts                                     0 / 22523798                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.ReplaceDistinctWithAggregate                               988593 / 21535410                               15 / 300
org.apache.spark.sql.catalyst.optimizer.EliminateMapObjects                                        0 / 20269996                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates                                  0 / 19388592                                    0 / 285
org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases                                    17675532 / 18971185                             215 / 285
org.apache.spark.sql.catalyst.optimizer.GetCurrentDatabase                                         0 / 18271152                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.PropagateEmptyRelation                                     2077097 / 17190855                              3 / 288
org.apache.spark.sql.catalyst.analysis.EliminateBarriers                                           0 / 16736359                                    0 / 1086
org.apache.spark.sql.execution.OptimizeMetadataOnlyQuery                                           0 / 16669341                                    0 / 285
org.apache.spark.sql.catalyst.analysis.UpdateOuterReferences                                       0 / 14470235                                    0 / 742
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithAntiJoin                                  6715625 / 12190561                              1 / 300
org.apache.spark.sql.catalyst.optimizer.ReplaceIntersectWithSemiJoin                               3451793 / 11431432                              7 / 300
org.apache.spark.sql.execution.python.ExtractPythonUDFFromAggregate                                0 / 10810568                                    0 / 285
org.apache.spark.sql.catalyst.optimizer.RemoveRepetitionFromGroupExpressions                       344198 / 10475276                               1 / 286
org.apache.spark.sql.catalyst.analysis.Analyzer$WindowsSubstitution                                0 / 10386630                                    0 / 788
org.apache.spark.sql.catalyst.analysis.EliminateUnions                                             0 / 10096526                                    0 / 788
org.apache.spark.sql.catalyst.analysis.AliasViewChild                                              0 / 9991706                                     0 / 742
org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation                                     0 / 9649334                                     0 / 288
org.apache.spark.sql.catalyst.analysis.ResolveHints$RemoveAllHints                                 0 / 8739109                                     0 / 750
org.apache.spark.sql.execution.datasources.PreprocessTableInsertion                                0 / 8420889                                     0 / 742
org.apache.spark.sql.catalyst.analysis.EliminateView                                               0 / 8319134                                     0 / 285
org.apache.spark.sql.catalyst.optimizer.RemoveLiteralFromGroupExpressions                          0 / 7392627                                     0 / 286
org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter                                    0 / 7170516                                     0 / 300
org.apache.spark.sql.catalyst.optimizer.SimplifyCreateArrayOps                                     0 / 7109643                                     0 / 1592
org.apache.spark.sql.catalyst.optimizer.SimplifyCreateStructOps                                    0 / 6837590                                     0 / 1592
org.apache.spark.sql.catalyst.optimizer.SimplifyCreateMapOps                                       0 / 6617848                                     0 / 1592
org.apache.spark.sql.catalyst.optimizer.CombineConcats                                             0 / 5768406                                     0 / 1592
org.apache.spark.sql.catalyst.optimizer.ReplaceDeduplicateWithAggregate                            0 / 5349831                                     0 / 285
org.apache.spark.sql.catalyst.optimizer.CombineTypedFilters                                        0 / 5186642                                     0 / 285
org.apache.spark.sql.catalyst.optimizer.EliminateDistinct                                          0 / 2427686                                     0 / 285
org.apache.spark.sql.catalyst.optimizer.CostBasedJoinReorder                                       0 / 2420436                                     0 / 285

```

Author: gatorsmile <gatorsmile@gmail.com>

Closes #20342 from gatorsmile/reportExecution.
2018-01-22 04:31:24 -08:00
gatorsmile 73281161fc [SPARK-23122][PYSPARK][FOLLOW-UP] Update the docs for UDF Registration
## What changes were proposed in this pull request?

This PR is to update the docs for UDF registration

## How was this patch tested?

N/A

Author: gatorsmile <gatorsmile@gmail.com>

Closes #20348 from gatorsmile/testUpdateDoc.
2018-01-22 04:27:59 -08:00
Arseniy Tashoyan 60175e959f [MINOR][DOC] Fix the path to the examples jar
## What changes were proposed in this pull request?

The example jar file is now in ./examples/jars directory of Spark distribution.

Author: Arseniy Tashoyan <tashoyan@users.noreply.github.com>

Closes #20349 from tashoyan/patch-1.
2018-01-22 20:17:05 +08:00
Marcelo Vanzin ec22897615 [SPARK-23020][CORE] Fix races in launcher code, test.
The race in the code is because the handle might update
its state to the wrong state if the connection handling
thread is still processing incoming data; so the handle
needs to wait for the connection to finish up before
checking the final state.

The race in the test is because when waiting for a handle
to reach a final state, the waitFor() method needs to wait
until all handle state is updated (which also includes
waiting for the connection thread above to finish).
Otherwise, waitFor() may return too early, which would cause
a bunch of different races (like the listener not being yet
notified of the state change, or being in the middle of
being notified, or the handle not being properly disposed
and causing postChecks() to assert).

On top of that I found, by code inspection, a couple of
potential races that could make a handle end up in the
wrong state when being killed.

The original version of this fix introduced the flipped
version of the first race described above; the connection
closing might override the handle state before the
handle might have a chance to do cleanup. The fix there
is to only dispose of the handle from the connection
when there is an error, and let the handle dispose
itself in the normal case.

The fix also caused a bug in YarnClusterSuite to be surfaced;
the code was checking for a file in the classpath that was
not expected to be there in client mode. Because of the above
issues, the error was not propagating correctly and the (buggy)
test was incorrectly passing.

Tested by running the existing unit tests a lot (and not
seeing the errors I was seeing before).

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #20297 from vanzin/SPARK-23020.
2018-01-22 14:49:12 +08:00
Dongjoon Hyun 8142a3b883 [MINOR][SQL] Fix wrong comments on org.apache.spark.sql.parquet.row.attributes
## What changes were proposed in this pull request?

This PR fixes the wrong comment on `org.apache.spark.sql.parquet.row.attributes`
which is useful for UDTs like Vector/Matrix. Please see [SPARK-22320](https://issues.apache.org/jira/browse/SPARK-22320) for the usage.

Originally, [SPARK-19411](bf493686eb (diff-ee26d4c4be21e92e92a02e9f16dbc285L314)) left this behind during removing optional column metadatas. In the same PR, the same comment was removed at line 310-311.

## How was this patch tested?

N/A (This is about comments).

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #20346 from dongjoon-hyun/minor_comment_parquet.
2018-01-22 15:18:57 +09:00
Russell Spitzer 11daeb8332 [SPARK-22976][CORE] Cluster mode driver dir removed while running
## What changes were proposed in this pull request?

The clean up logic on the worker perviously determined the liveness of a
particular applicaiton based on whether or not it had running executors.
This would fail in the case that a directory was made for a driver
running in cluster mode if that driver had no running executors on the
same machine. To preserve driver directories we consider both executors
and running drivers when checking directory liveness.

## How was this patch tested?

Manually started up two node cluster with a single core on each node. Turned on worker directory cleanup and set the interval to 1 second and liveness to one second. Without the patch the driver directory is removed immediately after the app is launched. With the patch it is not

### Without Patch
```
INFO  2018-01-05 23:48:24,693 Logging.scala:54 - Asked to launch driver driver-20180105234824-0000
INFO  2018-01-05 23:48:25,293 Logging.scala:54 - Changing view acls to: cassandra
INFO  2018-01-05 23:48:25,293 Logging.scala:54 - Changing modify acls to: cassandra
INFO  2018-01-05 23:48:25,294 Logging.scala:54 - Changing view acls groups to:
INFO  2018-01-05 23:48:25,294 Logging.scala:54 - Changing modify acls groups to:
INFO  2018-01-05 23:48:25,294 Logging.scala:54 - SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(cassandra); groups with view permissions: Set(); users  with modify permissions: Set(cassandra); groups with modify permissions: Set()
INFO  2018-01-05 23:48:25,330 Logging.scala:54 - Copying user jar file:/home/automaton/writeRead-0.1.jar to /var/lib/spark/worker/driver-20180105234824-0000/writeRead-0.1.jar
INFO  2018-01-05 23:48:25,332 Logging.scala:54 - Copying /home/automaton/writeRead-0.1.jar to /var/lib/spark/worker/driver-20180105234824-0000/writeRead-0.1.jar
INFO  2018-01-05 23:48:25,361 Logging.scala:54 - Launch Command: "/usr/lib/jvm/jdk1.8.0_40//bin/java" ....
****
INFO  2018-01-05 23:48:56,577 Logging.scala:54 - Removing directory: /var/lib/spark/worker/driver-20180105234824-0000  ### << Cleaned up
****
--
One minute passes while app runs (app has 1 minute sleep built in)
--

WARN  2018-01-05 23:49:58,080 ShuffleSecretManager.java:73 - Attempted to unregister application app-20180105234831-0000 when it is not registered
INFO  2018-01-05 23:49:58,081 ExternalShuffleBlockResolver.java:163 - Application app-20180105234831-0000 removed, cleanupLocalDirs = false
INFO  2018-01-05 23:49:58,081 ExternalShuffleBlockResolver.java:163 - Application app-20180105234831-0000 removed, cleanupLocalDirs = false
INFO  2018-01-05 23:49:58,082 ExternalShuffleBlockResolver.java:163 - Application app-20180105234831-0000 removed, cleanupLocalDirs = true
INFO  2018-01-05 23:50:00,999 Logging.scala:54 - Driver driver-20180105234824-0000 exited successfully
```

With Patch
```
INFO  2018-01-08 23:19:54,603 Logging.scala:54 - Asked to launch driver driver-20180108231954-0002
INFO  2018-01-08 23:19:54,975 Logging.scala:54 - Changing view acls to: automaton
INFO  2018-01-08 23:19:54,976 Logging.scala:54 - Changing modify acls to: automaton
INFO  2018-01-08 23:19:54,976 Logging.scala:54 - Changing view acls groups to:
INFO  2018-01-08 23:19:54,976 Logging.scala:54 - Changing modify acls groups to:
INFO  2018-01-08 23:19:54,976 Logging.scala:54 - SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(automaton); groups with view permissions: Set(); users  with modify permissions: Set(automaton); groups with modify permissions: Set()
INFO  2018-01-08 23:19:55,029 Logging.scala:54 - Copying user jar file:/home/automaton/writeRead-0.1.jar to /var/lib/spark/worker/driver-20180108231954-0002/writeRead-0.1.jar
INFO  2018-01-08 23:19:55,031 Logging.scala:54 - Copying /home/automaton/writeRead-0.1.jar to /var/lib/spark/worker/driver-20180108231954-0002/writeRead-0.1.jar
INFO  2018-01-08 23:19:55,038 Logging.scala:54 - Launch Command: ......
INFO  2018-01-08 23:21:28,674 ShuffleSecretManager.java:69 - Unregistered shuffle secret for application app-20180108232000-0000
INFO  2018-01-08 23:21:28,675 ExternalShuffleBlockResolver.java:163 - Application app-20180108232000-0000 removed, cleanupLocalDirs = false
INFO  2018-01-08 23:21:28,675 ExternalShuffleBlockResolver.java:163 - Application app-20180108232000-0000 removed, cleanupLocalDirs = false
INFO  2018-01-08 23:21:28,681 ExternalShuffleBlockResolver.java:163 - Application app-20180108232000-0000 removed, cleanupLocalDirs = true
INFO  2018-01-08 23:21:31,703 Logging.scala:54 - Driver driver-20180108231954-0002 exited successfully
*****
INFO  2018-01-08 23:21:32,346 Logging.scala:54 - Removing directory: /var/lib/spark/worker/driver-20180108231954-0002 ### < Happening AFTER the Run completes rather than during it
*****
```

Author: Russell Spitzer <Russell.Spitzer@gmail.com>

Closes #20298 from RussellSpitzer/SPARK-22976-master.
2018-01-22 12:27:51 +08:00
王晓哲 602c6d82d8 [SPARK-20947][PYTHON] Fix encoding/decoding error in pipe action
## What changes were proposed in this pull request?

Pipe action convert objects into strings using a way that was affected by the default encoding setting of Python environment.

This patch fixed the problem. The detailed description is added here:

https://issues.apache.org/jira/browse/SPARK-20947

## How was this patch tested?

Run the following statement in pyspark-shell, and it will NOT raise exception if this patch is applied:

```python
sc.parallelize([u'\u6d4b\u8bd5']).pipe('cat').collect()
```

Author: 王晓哲 <wxz@linkdoc.com>

Closes #18277 from chaoslawful/fix_pipe_encoding_error.
2018-01-22 10:43:12 +09:00
hyukjinkwon 12faae295e [SPARK-23169][INFRA][R] Run lintr on the changes of lint-r script and .lintr configuration
## What changes were proposed in this pull request?

When running the `run-tests` script, seems we don't run lintr on the changes of `lint-r` script and `.lintr` configuration.

## How was this patch tested?

Jenkins builds

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #20339 from HyukjinKwon/check-r-changed.
2018-01-22 09:45:27 +09:00
Felix Cheung 2239d7a410 [SPARK-21293][SS][SPARKR] Add doc example for streaming join, dedup
## What changes were proposed in this pull request?

streaming programming guide changes

## How was this patch tested?

manually

Author: Felix Cheung <felixcheung_m@hotmail.com>

Closes #20340 from felixcheung/rstreamdoc.
2018-01-21 11:23:51 -08:00
Marco Gaido 4f43d27c9e [SPARK-22119][ML] Add cosine distance to KMeans
## What changes were proposed in this pull request?

Currently, KMeans assumes the only possible distance measure to be used is the Euclidean. This PR aims to add the cosine distance support to the KMeans algorithm.

## How was this patch tested?

existing and added UTs.

Author: Marco Gaido <marcogaido91@gmail.com>
Author: Marco Gaido <mgaido@hortonworks.com>

Closes #19340 from mgaido91/SPARK-22119.
2018-01-21 08:51:12 -06:00
Marco Gaido 121dc96f08 [SPARK-23087][SQL] CheckCartesianProduct too restrictive when condition is false/null
## What changes were proposed in this pull request?

CheckCartesianProduct raises an AnalysisException also when the join condition is always false/null. In this case, we shouldn't raise it, since the result will not be a cartesian product.

## How was this patch tested?

added UT

Author: Marco Gaido <marcogaido91@gmail.com>

Closes #20333 from mgaido91/SPARK-23087.
2018-01-20 22:39:49 -08:00
fjh100456 00d169156d [SPARK-21786][SQL] The 'spark.sql.parquet.compression.codec' and 'spark.sql.orc.compression.codec' configuration doesn't take effect on hive table writing
[SPARK-21786][SQL] The 'spark.sql.parquet.compression.codec' and 'spark.sql.orc.compression.codec' configuration doesn't take effect on hive table writing

What changes were proposed in this pull request?

Pass ‘spark.sql.parquet.compression.codec’ value to ‘parquet.compression’.
Pass ‘spark.sql.orc.compression.codec’ value to ‘orc.compress’.

How was this patch tested?

Add test.

Note:
This is the same issue mentioned in #19218 . That branch was deleted mistakenly, so make a new pr instead.

gatorsmile maropu dongjoon-hyun discipleforteen

Author: fjh100456 <fu.jinhua6@zte.com.cn>
Author: Takeshi Yamamuro <yamamuro@apache.org>
Author: Wenchen Fan <wenchen@databricks.com>
Author: gatorsmile <gatorsmile@gmail.com>
Author: Yinan Li <liyinan926@gmail.com>
Author: Marcelo Vanzin <vanzin@cloudera.com>
Author: Juliusz Sompolski <julek@databricks.com>
Author: Felix Cheung <felixcheung_m@hotmail.com>
Author: jerryshao <sshao@hortonworks.com>
Author: Li Jin <ice.xelloss@gmail.com>
Author: Gera Shegalov <gera@apache.org>
Author: chetkhatri <ckhatrimanjal@gmail.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Author: Bago Amirbekian <bago@databricks.com>
Author: Xianjin YE <advancedxy@gmail.com>
Author: Bruce Robbins <bersprockets@gmail.com>
Author: zuotingbing <zuo.tingbing9@zte.com.cn>
Author: Kent Yao <yaooqinn@hotmail.com>
Author: hyukjinkwon <gurwls223@gmail.com>
Author: Adrian Ionescu <adrian@databricks.com>

Closes #20087 from fjh100456/HiveTableWriting.
2018-01-20 14:49:49 -08:00
Shashwat Anand 84a076e0e9 [SPARK-23165][DOC] Spelling mistake fix in quick-start doc.
## What changes were proposed in this pull request?

Fix spelling in quick-start doc.

## How was this patch tested?

Doc only.

Author: Shashwat Anand <me@shashwat.me>

Closes #20336 from ashashwat/SPARK-23165.
2018-01-20 14:34:37 -08:00
Sean Owen 396cdfbea4 [SPARK-23091][ML] Incorrect unit test for approxQuantile
## What changes were proposed in this pull request?

Narrow bound on approx quantile test to epsilon from 2*epsilon to match paper

## How was this patch tested?

Existing tests.

Author: Sean Owen <sowen@cloudera.com>

Closes #20324 from srowen/SPARK-23091.
2018-01-19 22:46:34 -08:00
Kent Yao 793841c6b8 [SPARK-21771][SQL] remove useless hive client in SparkSQLEnv
## What changes were proposed in this pull request?

Once a meta hive client is created, it generates its SessionState which creates a lot of session related directories, some deleteOnExit, some does not. if a hive client is useless we may not create it at the very start.

## How was this patch tested?
N/A

cc hvanhovell cloud-fan

Author: Kent Yao <11215016@zju.edu.cn>

Closes #18983 from yaooqinn/patch-1.
2018-01-19 15:49:29 -08:00
Marcelo Vanzin f6da41b015 [SPARK-23135][UI] Fix rendering of accumulators in the stage page.
This follows the behavior of 2.2: only named accumulators with a
value are rendered.

Screenshot:
![accs](https://user-images.githubusercontent.com/1694083/35065700-df409114-fb82-11e7-87c1-550c3f674371.png)

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #20299 from vanzin/SPARK-23135.
2018-01-19 13:14:24 -08:00
Marcelo Vanzin aa3a1276f9 [SPARK-23103][CORE] Ensure correct sort order for negative values in LevelDB.
The code was sorting "0" as "less than" negative values, which is a little
wrong. Fix is simple, most of the changes are the added test and related
cleanup.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #20284 from vanzin/SPARK-23103.
2018-01-19 13:32:20 -06:00
Marcelo Vanzin fed2139f05 [SPARK-20664][CORE] Delete stale application data from SHS.
Detect the deletion of event log files from storage, and remove
data about the related application attempt in the SHS.

Also contains code to fix SPARK-21571 based on code by ericvandenbergfb.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #20138 from vanzin/SPARK-20664.
2018-01-19 13:26:37 -06:00
Marcelo Vanzin 07296a61c2 [INFRA] Close stale PR.
Closes #20185.
2018-01-19 10:25:18 -08:00
foxish 73d3b230f3 [SPARK-23104][K8S][DOCS] Changes to Kubernetes scheduler documentation
## What changes were proposed in this pull request?

Docs changes:
- Adding a warning that the backend is experimental.
- Removing a defunct internal-only option from documentation
- Clarifying that node selectors can be used right away, and other minor cosmetic changes

## How was this patch tested?

Docs only change

Author: foxish <ramanathana@google.com>

Closes #20314 from foxish/ambiguous-docs.
2018-01-19 10:23:13 -08:00
Wenchen Fan d8aaa771e2 [SPARK-23149][SQL] polish ColumnarBatch
## What changes were proposed in this pull request?

Several cleanups in `ColumnarBatch`
* remove `schema`. The `ColumnVector`s inside `ColumnarBatch` already have the data type information, we don't need this `schema`.
* remove `capacity`. `ColumnarBatch` is just a wrapper of `ColumnVector`s, not builders, it doesn't need a capacity property.
* remove `DEFAULT_BATCH_SIZE`. As a wrapper, `ColumnarBatch` can't decide the batch size, it should be decided by the reader, e.g. parquet reader, orc reader, cached table reader. The default batch size should also be defined by the reader.

## How was this patch tested?

existing tests.

Author: Wenchen Fan <wenchen@databricks.com>

Closes #20316 from cloud-fan/columnar-batch.
2018-01-19 08:58:21 -08:00
Zheng RuiFeng 606a7485f1 [SPARK-23085][ML] API parity for mllib.linalg.Vectors.sparse
## What changes were proposed in this pull request?
`ML.Vectors#sparse(size: Int, elements: Seq[(Int, Double)])` support zero-length

## How was this patch tested?
existing tests

Author: Zheng RuiFeng <ruifengz@foxmail.com>

Closes #20275 from zhengruifeng/SparseVector_size.
2018-01-19 09:28:35 -06:00
gatorsmile 6c39654efc [SPARK-23000][TEST] Keep Derby DB Location Unchanged After Session Cloning
## What changes were proposed in this pull request?
After session cloning in `TestHive`, the conf of the singleton SparkContext for derby DB location is changed to a new directory. The new directory is created in `HiveUtils.newTemporaryConfiguration(useInMemoryDerby = false)`.

This PR is to keep the conf value of `ConfVars.METASTORECONNECTURLKEY.varname` unchanged during the session clone.

## How was this patch tested?
The issue can be reproduced by the command:
> build/sbt -Phive "hive/test-only org.apache.spark.sql.hive.HiveSessionStateSuite org.apache.spark.sql.hive.DataSourceWithHiveMetastoreCatalogSuite"

Also added a test case.

Author: gatorsmile <gatorsmile@gmail.com>

Closes #20328 from gatorsmile/fixTestFailure.
2018-01-19 22:47:18 +08:00
guoxiaolong e1c33b6cd1 [SPARK-23024][WEB-UI] Spark ui about the contents of the form need to have hidden and show features, when the table records very much.
## What changes were proposed in this pull request?
Spark ui about the contents of the form need to have hidden and show features, when the table records very much. Because sometimes you do not care about the record of the table, you just want to see the contents of the next table, but you have to scroll the scroll bar for a long time to see the contents of the next table.

Currently we have about 500 workers, but I just wanted to see the logs for the running applications table. I had to scroll through the scroll bars for a long time to see the logs for the running applications table.

In order to ensure functional consistency, I modified the Master Page, Worker Page, Job Page, Stage Page, Task Page, Configuration Page, Storage Page, Pool Page.

fix before:
![1](https://user-images.githubusercontent.com/26266482/34805936-601ed628-f6bb-11e7-8dd3-d8413573a076.png)

fix after:
![2](https://user-images.githubusercontent.com/26266482/34805949-6af8afba-f6bb-11e7-89f4-ab16584916fb.png)

## How was this patch tested?
manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: guoxiaolong <guo.xiaolong1@zte.com.cn>

Closes #20216 from guoxiaolongzte/SPARK-23024.
2018-01-19 08:22:24 -06:00
Marco Gaido e41400c3c8 [SPARK-23089][STS] Recreate session log directory if it doesn't exist
## What changes were proposed in this pull request?

When creating a session directory, Thrift should create the parent directory (i.e. /tmp/base_session_log_dir) if it is not present. It is common that many tools delete empty directories, so the directory may be deleted. This can cause the session log to be disabled.

This was fixed in HIVE-12262: this PR brings it in Spark too.

## How was this patch tested?

manual tests

Author: Marco Gaido <marcogaido91@gmail.com>

Closes #20281 from mgaido91/SPARK-23089.
2018-01-19 19:46:48 +08:00
Liang-Chi Hsieh b74366481c [SPARK-23048][ML] Add OneHotEncoderEstimator document and examples
## What changes were proposed in this pull request?

We have `OneHotEncoderEstimator` now and `OneHotEncoder` will be deprecated since 2.3.0. We should add `OneHotEncoderEstimator` into mllib document.

We also need to provide corresponding examples for `OneHotEncoderEstimator` which are used in the document too.

## How was this patch tested?

Existing tests.

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #20257 from viirya/SPARK-23048.
2018-01-19 12:48:42 +02:00
Nick Pentreath 60203fca6a [SPARK-23127][DOC] Update FeatureHasher guide for categoricalCols parameter
Update user guide entry for `FeatureHasher` to match the Scala / Python doc, to describe the `categoricalCols` parameter.

## How was this patch tested?

Doc only

Author: Nick Pentreath <nickp@za.ibm.com>

Closes #20293 from MLnick/SPARK-23127-catCol-userguide.
2018-01-19 12:43:23 +02:00
Sameer Agarwal 9c4b99861c [BUILD][MINOR] Fix java style check issues
## What changes were proposed in this pull request?

This patch fixes a few recently introduced java style check errors in master and release branch.

As an aside, given that [java linting currently fails](https://github.com/apache/spark/pull/10763
) on machines with a clean maven cache, it'd be great to find another workaround to [re-enable the java style checks](3a07eff5af/dev/run-tests.py (L577)) as part of Spark PRB.

/cc zsxwing JoshRosen srowen for any suggestions

## How was this patch tested?

Manual Check

Author: Sameer Agarwal <sameerag@apache.org>

Closes #20323 from sameeragarwal/java.
2018-01-19 01:38:08 -08:00
Takuya UESHIN 568055da93 [SPARK-23054][SQL][PYSPARK][FOLLOWUP] Use sqlType casting when casting PythonUserDefinedType to String.
## What changes were proposed in this pull request?

This is a follow-up of #20246.

If a UDT in Python doesn't have its corresponding Scala UDT, cast to string will be the raw string of the internal value, e.g. `"org.apache.spark.sql.catalyst.expressions.UnsafeArrayDataxxxxxxxx"` if the internal type is `ArrayType`.

This pr fixes it by using its `sqlType` casting.

## How was this patch tested?

Added a test and existing tests.

Author: Takuya UESHIN <ueshin@databricks.com>

Closes #20306 from ueshin/issues/SPARK-23054/fup1.
2018-01-19 11:37:08 +08:00
brandonJY 6121e91b7f [DOCS] change to dataset for java code in structured-streaming-kafka-integration document
## What changes were proposed in this pull request?

In latest structured-streaming-kafka-integration document, Java code example for Kafka integration is using `DataFrame<Row>`, shouldn't it be changed to `DataSet<Row>`?

## How was this patch tested?

manual test has been performed to test the updated example Java code in Spark 2.2.1 with Kafka 1.0

Author: brandonJY <brandonJY@users.noreply.github.com>

Closes #20312 from brandonJY/patch-2.
2018-01-18 18:57:49 -06:00
Tathagata Das 4cd2ecc0c7 [SPARK-23142][SS][DOCS] Added docs for continuous processing
## What changes were proposed in this pull request?

Added documentation for continuous processing. Modified two locations.
- Modified the overview to have a mention of Continuous Processing.
- Added a new section on Continuous Processing at the end.

![image](https://user-images.githubusercontent.com/663212/35083551-a3dd23f6-fbd4-11e7-9e7e-90866f131ca9.png)
![image](https://user-images.githubusercontent.com/663212/35083618-d844027c-fbd4-11e7-9fde-75992cc517bd.png)

## How was this patch tested?
N/A

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #20308 from tdas/SPARK-23142.
2018-01-18 16:29:45 -08:00
Yinan Li 5d7c4ba4d7 [SPARK-22962][K8S] Fail fast if submission client local files are used
## What changes were proposed in this pull request?

In the Kubernetes mode, fails fast in the submission process if any submission client local dependencies are used as the use case is not supported yet.

## How was this patch tested?

Unit tests, integration tests, and manual tests.

vanzin foxish

Author: Yinan Li <liyinan926@gmail.com>

Closes #20320 from liyinan926/master.
2018-01-18 14:44:22 -08:00
Burak Yavuz e01919e834 [SPARK-23094] Fix invalid character handling in JsonDataSource
## What changes were proposed in this pull request?

There were two related fixes regarding `from_json`, `get_json_object` and `json_tuple` ([Fix #1](c8803c0685),
 [Fix #2](86174ea89b)), but they weren't comprehensive it seems. I wanted to extend those fixes to all the parsers, and add tests for each case.

## How was this patch tested?

Regression tests

Author: Burak Yavuz <brkyvz@gmail.com>

Closes #20302 from brkyvz/json-invfix.
2018-01-19 07:36:06 +09:00
Andrew Korzhuev f568e9cf76 [SPARK-23133][K8S] Fix passing java options to Executor
Pass through spark java options to the executor in context of docker image.
Closes #20296

andrusha: Deployed two version of containers to local k8s, checked that java options were present in the updated image on the running executor.
Manual test

Author: Andrew Korzhuev <korzhuev@andrusha.me>

Closes #20322 from foxish/patch-1.
2018-01-18 14:00:43 -08:00
Tathagata Das bf34d665b9 [SPARK-23144][SS] Added console sink for continuous processing
## What changes were proposed in this pull request?
Refactored ConsoleWriter into ConsoleMicrobatchWriter and ConsoleContinuousWriter.

## How was this patch tested?
new unit test

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #20311 from tdas/SPARK-23144.
2018-01-18 12:33:39 -08:00
Tathagata Das 2d41f040a3 [SPARK-23143][SS][PYTHON] Added python API for setting continuous trigger
## What changes were proposed in this pull request?
Self-explanatory.

## How was this patch tested?
New python tests.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #20309 from tdas/SPARK-23143.
2018-01-18 12:25:52 -08:00
Fernando Pereira 9678941f54 [SPARK-23029][DOCS] Specifying default units of configuration entries
## What changes were proposed in this pull request?
This PR completes the docs, specifying the default units assumed in configuration entries of type size.
This is crucial since unit-less values are accepted and the user might assume the base unit is bytes, which in most cases it is not, leading to hard-to-debug problems.

## How was this patch tested?
This patch updates only documentation only.

Author: Fernando Pereira <fernando.pereira@epfl.ch>

Closes #20269 from ferdonline/docs_units.
2018-01-18 13:02:03 -06:00
jerryshao cf7ee1767d [SPARK-23147][UI] Fix task page table IndexOutOfBound Exception
## What changes were proposed in this pull request?

Stage's task page table will throw an exception when there's no complete tasks. Furthermore, because the `dataSize` doesn't take running tasks into account, so sometimes UI cannot show the running tasks. Besides table will only be displayed when first task is finished according to the default sortColumn("index").

![screen shot 2018-01-18 at 8 50 08 pm](https://user-images.githubusercontent.com/850797/35100052-470b4cae-fc95-11e7-96a2-ad9636e732b3.png)

To reproduce this issue, user could try `sc.parallelize(1 to 20, 20).map { i => Thread.sleep(10000); i }.collect()` or `sc.parallelize(1 to 20, 20).map { i => Thread.sleep((20 - i) * 1000); i }.collect` to reproduce the above issue.

Here propose a solution to fix it. Not sure if it is a right fix, please help to review.

## How was this patch tested?

Manual test.

Author: jerryshao <sshao@hortonworks.com>

Closes #20315 from jerryshao/SPARK-23147.
2018-01-18 10:19:36 -08:00
Takuya UESHIN 5063b74811 [SPARK-23141][SQL][PYSPARK] Support data type string as a returnType for registerJavaFunction.
## What changes were proposed in this pull request?

Currently `UDFRegistration.registerJavaFunction` doesn't support data type string as a `returnType` whereas `UDFRegistration.register`, `udf`, or `pandas_udf` does.
We can support it for `UDFRegistration.registerJavaFunction` as well.

## How was this patch tested?

Added a doctest and existing tests.

Author: Takuya UESHIN <ueshin@databricks.com>

Closes #20307 from ueshin/issues/SPARK-23141.
2018-01-18 22:33:04 +09:00
Marco Gaido e28eb43114 [SPARK-22036][SQL] Decimal multiplication with high precision/scale often returns NULL
## What changes were proposed in this pull request?

When there is an operation between Decimals and the result is a number which is not representable exactly with the result's precision and scale, Spark is returning `NULL`. This was done to reflect Hive's behavior, but it is against SQL ANSI 2011, which states that "If the result cannot be represented exactly in the result type, then whether it is rounded or truncated is implementation-defined". Moreover, Hive now changed its behavior in order to respect the standard, thanks to HIVE-15331.

Therefore, the PR propose to:
 - update the rules to determine the result precision and scale according to the new Hive's ones introduces in HIVE-15331;
 - round the result of the operations, when it is not representable exactly with the result's precision and scale, instead of returning `NULL`
 - introduce a new config `spark.sql.decimalOperations.allowPrecisionLoss` which default to `true` (ie. the new behavior) in order to allow users to switch back to the previous one.

Hive behavior reflects SQLServer's one. The only difference is that the precision and scale are adjusted for all the arithmetic operations in Hive, while SQL Server is said to do so only for multiplications and divisions in the documentation. This PR follows Hive's behavior.

A more detailed explanation is available here: https://mail-archives.apache.org/mod_mbox/spark-dev/201712.mbox/%3CCAEorWNAJ4TxJR9NBcgSFMD_VxTg8qVxusjP%2BAJP-x%2BJV9zH-yA%40mail.gmail.com%3E.

## How was this patch tested?

modified and added UTs. Comparisons with results of Hive and SQLServer.

Author: Marco Gaido <marcogaido91@gmail.com>

Closes #20023 from mgaido91/SPARK-22036.
2018-01-18 21:24:39 +08:00
jerryshao 7a22483413 [SPARK-23140][SQL] Add DataSourceV2Strategy to Hive Session state's planner
## What changes were proposed in this pull request?

`DataSourceV2Strategy` is missing in `HiveSessionStateBuilder`'s planner, which will throw exception as described in [SPARK-23140](https://issues.apache.org/jira/browse/SPARK-23140).

## How was this patch tested?

Manual test.

Author: jerryshao <sshao@hortonworks.com>

Closes #20305 from jerryshao/SPARK-23140.
2018-01-18 19:18:55 +08:00
Jose Torres 1c76a91e5f [SPARK-23052][SS] Migrate ConsoleSink to data source V2 api.
## What changes were proposed in this pull request?

Migrate ConsoleSink to data source V2 api.

Note that this includes a missing piece in DataStreamWriter required to specify a data source V2 writer.

Note also that I've removed the "Rerun batch" part of the sink, because as far as I can tell this would never have actually happened. A MicroBatchExecution object will only commit each batch once for its lifetime, and a new MicroBatchExecution object would have a new ConsoleSink object which doesn't know it's retrying a batch. So I think this represents an anti-feature rather than a weakness in the V2 API.

## How was this patch tested?

new unit test

Author: Jose Torres <jose@databricks.com>

Closes #20243 from jose-torres/console-sink.
2018-01-17 22:36:29 -08:00
hyukjinkwon 39d244d921 [SPARK-23122][PYTHON][SQL] Deprecate register* for UDFs in SQLContext and Catalog in PySpark
## What changes were proposed in this pull request?

This PR proposes to deprecate `register*` for UDFs in `SQLContext` and `Catalog` in Spark 2.3.0.

These are inconsistent with Scala / Java APIs and also these basically do the same things with `spark.udf.register*`.

Also, this PR moves the logcis from `[sqlContext|spark.catalog].register*` to `spark.udf.register*` and reuse the docstring.

This PR also handles minor doc corrections. It also includes https://github.com/apache/spark/pull/20158

## How was this patch tested?

Manually tested, manually checked the API documentation and tests added to check if deprecated APIs call the aliases correctly.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #20288 from HyukjinKwon/deprecate-udf.
2018-01-18 14:51:05 +09:00
Xiayun Sun 0219470206 [SPARK-21996][SQL] read files with space in name for streaming
## What changes were proposed in this pull request?

Structured streaming is now able to read files with space in file name (previously it would skip the file and output a warning)

## How was this patch tested?

Added new unit test.

Author: Xiayun Sun <xiayunsun@gmail.com>

Closes #19247 from xysun/SPARK-21996.
2018-01-17 16:42:38 -08:00
Tathagata Das 1002bd6b23 [SPARK-23064][DOCS][SS] Added documentation for stream-stream joins
## What changes were proposed in this pull request?
Added documentation for stream-stream joins

![image](https://user-images.githubusercontent.com/663212/35018744-e999895a-fad7-11e7-9d6a-8c7a73e6eb9c.png)

![image](https://user-images.githubusercontent.com/663212/35018775-157eb464-fad8-11e7-879e-47a2fcbd8690.png)

![image](https://user-images.githubusercontent.com/663212/35018784-27791a24-fad8-11e7-98f4-7ff246f62a74.png)

![image](https://user-images.githubusercontent.com/663212/35018791-36a80334-fad8-11e7-9791-f85efa7c6ba2.png)

## How was this patch tested?

N/a

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #20255 from tdas/join-docs.
2018-01-17 16:41:43 -08:00
Tathagata Das bac0d661af [SPARK-23119][SS] Minor fixes to V2 streaming APIs
## What changes were proposed in this pull request?

- Added `InterfaceStability.Evolving` annotations
- Improved docs.

## How was this patch tested?
Existing tests.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #20286 from tdas/SPARK-23119.
2018-01-17 16:40:02 -08:00
Bryan Cutler 7823d43ec0 [MINOR] Fix typos in ML scaladocs
## What changes were proposed in this pull request?

Fixed some typos found in ML scaladocs

## How was this patch tested?

NA

Author: Bryan Cutler <cutlerb@gmail.com>

Closes #20300 from BryanCutler/ml-doc-typos-MINOR.
2018-01-17 17:16:57 -06:00
hyukjinkwon 45ad97df87 [SPARK-23132][PYTHON][ML] Run doctests in ml.image when testing
## What changes were proposed in this pull request?

This PR proposes to actually run the doctests in `ml/image.py`.

## How was this patch tested?

doctests in `python/pyspark/ml/image.py`.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #20294 from HyukjinKwon/trigger-image.
2018-01-18 07:30:54 +09:00