Attempts to restart the socket receiver when it is supposed to be stopped causes undesirable error messages.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#6483 from tdas/SPARK-7931 and squashes the following commits:
09aeee1 [Tathagata Das] Do not restart receiver when stopped
Expose user/item factors in DataFrames. This is to be more consistent with the pipeline API. It also helps maintain consistent APIs across languages. This PR also removed fitting params from `ALSModel`.
coderxiang
Author: Xiangrui Meng <meng@databricks.com>
Closes#6468 from mengxr/SPARK-7922 and squashes the following commits:
7bfb1d5 [Xiangrui Meng] update ALSModel in PySpark
1ba5607 [Xiangrui Meng] use DataFrames for user/item factors in ALS
(cherry picked from commit db95137897)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Shutdown hook for temp directories had priority 100 while SparkContext was 50. So the local root directory was deleted before SparkContext was shutdown. This leads to scary errors on running jobs, at the time of shutdown. This is especially a problem when running streaming examples, where Ctrl-C is the only way to shutdown.
The fix in this PR is to make the temp directory shutdown priority lower than SparkContext, so that the temp dirs are the last thing to get deleted, after the SparkContext has been shut down. Also, the DiskBlockManager shutdown priority is change from default 100 to temp_dir_prio + 1, so that it gets invoked just before all temp dirs are cleared.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#6482 from tdas/SPARK-7930 and squashes the following commits:
d7cbeb5 [Tathagata Das] Removed unnecessary line
1514d0b [Tathagata Das] Fixed shutdown hook priorities
(cherry picked from commit cd3d9a5c0c)
Signed-off-by: Patrick Wendell <patrick@databricks.com>
The existing code rounds down to the nearest percent when computing the proportion
of a task's time that was spent on each phase of execution, and then computes
the scheduler delay proportion as 100 - sum(all other proportions). As a result,
a few extra percent can end up in the scheduler delay. This commit eliminates
the rounding so that the time visualizations correspond properly to the real times.
sarutak If you could take a look at this, that would be great! Not sure if there's a good
reason to round here that I missed.
cc shivaram
Author: Kay Ousterhout <kayousterhout@gmail.com>
Closes#6484 from kayousterhout/SPARK-7932 and squashes the following commits:
1723cc4 [Kay Ousterhout] [SPARK-7932] Fix misleading scheduler delay visualization
(cherry picked from commit 04ddcd4db7)
Signed-off-by: Kay Ousterhout <kayousterhout@gmail.com>
`make clean html` under `python/doc` returns
~~~
/Users/meng/src/spark/python/pyspark/ml/evaluation.py:docstring of pyspark.ml.evaluation.RegressionEvaluator.setParams:3: WARNING: Definition list ends without a blank line; unexpected unindent.
~~~
harsha2010
Author: Xiangrui Meng <meng@databricks.com>
Closes#6469 from mengxr/fix-regression-evaluator-doc and squashes the following commits:
91e2dad [Xiangrui Meng] fix RegressionEvaluator doc
(cherry picked from commit 834e699524)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Switch to the official Pyrolite release from the one published under `org.spark-project`. Thanks irmen for making the releases on Maven Central. We didn't upgrade to 4.6 because we don't have enough time for QA. I excludes `serpent` from its dependencies because we don't use it in Spark.
~~~
[info] +-net.jpountz.lz4:lz4:1.3.0
[info] +-net.razorvine:pyrolite:4.4
[info] +-net.sf.py4j:py4j:0.8.2.1
~~~
davies
Author: Xiangrui Meng <meng@databricks.com>
Closes#6472 from mengxr/SPARK-7926 and squashes the following commits:
7b3c6bf [Xiangrui Meng] use the official Pyrolite release
(cherry picked from commit c45d58c143)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6474 from rxin/whitespace-graphx and squashes the following commits:
4d3cd26 [Reynold Xin] Fixed tests.
869dde4 [Reynold Xin] [SPARK-7927] whitespace fixes for GraphX.
(cherry picked from commit b069ad23d9)
Signed-off-by: Reynold Xin <rxin@databricks.com>
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6473 from rxin/whitespace-core and squashes the following commits:
058195d [Reynold Xin] Fixed tests.
fce11e9 [Reynold Xin] [SPARK-7927] whitespace fixes for core.
(cherry picked from commit 7f7505d8db)
Signed-off-by: Reynold Xin <rxin@databricks.com>
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6476 from rxin/whitespace-catalyst and squashes the following commits:
650409d [Reynold Xin] Fixed tests.
51a9e5d [Reynold Xin] [SPARK-7927] whitespace fixes for Catalyst module.
(cherry picked from commit 8da560d7de)
Signed-off-by: Reynold Xin <rxin@databricks.com>
Conflicts:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6477 from rxin/whitespace-sql-core and squashes the following commits:
ce6e369 [Reynold Xin] Fixed tests.
6095fed [Reynold Xin] [SPARK-7927] whitespace fixes for SQL core.
(cherry picked from commit ff44c711ab)
Signed-off-by: Reynold Xin <rxin@databricks.com>
Looks like this was added by accident when pwendell merged a commit back in September: fe2b1d6a20
Author: Kay Ousterhout <kayousterhout@gmail.com>
Closes#6485 from kayousterhout/SPARK-7933 and squashes the following commits:
7c6164a [Kay Ousterhout] [SPARK-7933] Remove Patrick's username/pw from merge script
(cherry picked from commit 66c49ed60d)
Signed-off-by: Patrick Wendell <patrick@databricks.com>
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6478 from rxin/whitespace-hive and squashes the following commits:
e01b0e0 [Reynold Xin] Fixed tests.
a3bba22 [Reynold Xin] [SPARK-7927] whitespace fixes for Hive and ThriftServer.
(cherry picked from commit ee6a0e12fb)
Signed-off-by: Reynold Xin <rxin@databricks.com>
So we can enable a whitespace enforcement rule in the style checker to save code review time.
Author: Reynold Xin <rxin@databricks.com>
Closes#6475 from rxin/whitespace-streaming and squashes the following commits:
810dae4 [Reynold Xin] Fixed tests.
89068ad [Reynold Xin] [SPARK-7927] whitespace fixes for streaming.
(cherry picked from commit 3af0b3136e)
Signed-off-by: Reynold Xin <rxin@databricks.com>
CC jkbradley
Author: Xusen Yin <yinxusen@gmail.com>
Closes#6451 from yinxusen/SPARK-7577 and squashes the following commits:
e2dc32e [Xusen Yin] rename colums
e350e49 [Xusen Yin] add all demos
006ddf1 [Xusen Yin] add java test
3238481 [Xusen Yin] add bucketizer
(cherry picked from commit 1bd63e82fd)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
https://issues.apache.org/jira/browse/SPARK-7853
This fixes the problem introduced by my change in https://github.com/apache/spark/pull/6435, which causes that Hive Context fails to create in spark shell because of the class loader issue.
Author: Yin Huai <yhuai@databricks.com>
Closes#6459 from yhuai/SPARK-7853 and squashes the following commits:
37ad33e [Yin Huai] Do not use hiveQlTable at all.
47cdb6d [Yin Huai] Move hiveconf.set to the end of setConf.
005649b [Yin Huai] Update comment.
35d86f3 [Yin Huai] Access TTable directly to make sure Hive will not internally use any metastore utility functions.
3737766 [Yin Huai] Recursively find all jars.
(cherry picked from commit 572b62cafe)
Signed-off-by: Yin Huai <yhuai@databricks.com>
See comments on https://github.com/apache/spark/pull/3913
Author: Reynold Xin <rxin@databricks.com>
Closes#6471 from rxin/sizeestimator and squashes the following commits:
c057095 [Reynold Xin] Fixed import.
2da478b [Reynold Xin] Remove SizeEstimator from o.a.spark package.
(cherry picked from commit 0077af22ca)
Signed-off-by: Reynold Xin <rxin@databricks.com>
`VectorAssembler` should carry over ML attributes. For unknown attributes, we assume numeric values. This PR handles the following cases:
1. DoubleType with ML attribute: carry over
2. DoubleType without ML attribute: numeric value
3. Scalar type: numeric value
4. VectorType with all ML attributes: carry over and update names
5. VectorType with number of ML attributes: assume all numeric
6. VectorType without ML attributes: check the first row and get the number of attributes
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6452 from mengxr/SPARK-7198 and squashes the following commits:
a9d2469 [Xiangrui Meng] add space
facdb1f [Xiangrui Meng] VectorAssembler should output ML attributes
(cherry picked from commit 7859ab659e)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
The location of the IDE setup information has changed, so this just updates the link on the Building Spark page.
Author: Mike Dusenberry <dusenberrymw@gmail.com>
Closes#6467 from dusenberrymw/Fix_Broken_Link_On_Building_Spark_Doc and squashes the following commits:
75c533a [Mike Dusenberry] Fixing broken "IDE setup" link in the Building Spark documentation by pointing to new location.
(cherry picked from commit 3e312a5ed0)
Signed-off-by: Sean Owen <sowen@cloudera.com>
Fix the bug that entering only 1 arg will cause array out of bounds exception in PageRank example.
Author: Li Yao <hnkfliyao@gmail.com>
Closes#6455 from lastland/patch-1 and squashes the following commits:
de06128 [Li Yao] Fix the bug that entering only 1 arg will cause array out of bounds exception.
(cherry picked from commit c771589c96)
Signed-off-by: Andrew Or <andrew@databricks.com>
~~A PythonUDT shouldn't be serialized into external Scala types in PythonRDD. I'm not sure whether this should fix one of the bugs related to SQL UDT/UDF in PySpark.~~
The fix above didn't work. So I added a workaround for this. If a Python UDF is applied to a Python UDT. This will put the Python SQL types as inputs. Still incorrect, but at least it doesn't throw exceptions on the Scala side. davies harsha2010
Author: Xiangrui Meng <meng@databricks.com>
Closes#6442 from mengxr/SPARK-7903 and squashes the following commits:
c257d2a [Xiangrui Meng] add a workaround for VectorUDT
(cherry picked from commit 530efe3e80)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Since `spark-streaming-kafka` now is published for both Scala 2.10 and 2.11, we can move `KafkaWordCount` and `DirectKafkaWordCount` from `examples/scala-2.10/src/` to `examples/src/` so that they will appear in `spark-examples-***-jar` for Scala 2.11.
Author: zsxwing <zsxwing@gmail.com>
Closes#6436 from zsxwing/SPARK-7895 and squashes the following commits:
c6052f1 [zsxwing] Update examples/pom.xml
0bcfa87 [zsxwing] Fix the sleep time
b9d1256 [zsxwing] Move Kafka examples from scala-2.10/src to src
(cherry picked from commit 000df2f0d6)
Signed-off-by: Patrick Wendell <patrick@databricks.com>
This contribution is my original work and I license the work to the project under the project's open source license
Author: Matt Wise <mwise@quixey.com>
Closes#6447 from wisematthew/fix-typo-in-java-udf-registration-doc and squashes the following commits:
e7ef5f7 [Matt Wise] Fix typo in documentation for Java UDF registration
(cherry picked from commit 35410614de)
Signed-off-by: Reynold Xin <rxin@databricks.com>
Author: Sandy Ryza <sandy@cloudera.com>
Closes#6440 from sryza/sandy-spark-7896 and squashes the following commits:
49d8a0d [Sandy Ryza] Fix bug introduced when reading over record boundaries
6006856 [Sandy Ryza] Fix overflow issues
006b4b2 [Sandy Ryza] Fix scalastyle by removing non ascii characters
8b000ca [Sandy Ryza] Add ascii art to describe layout of data in metaBuffer
f2053c0 [Sandy Ryza] Fix negative overflow issue
0368c78 [Sandy Ryza] Initialize size as 0
a5a4820 [Sandy Ryza] Use explicit types for all numbers in ChainedBuffer
b7e0213 [Sandy Ryza] SPARK-7896. Allow ChainedBuffer to store more than 2 GB
(cherry picked from commit bd11b01eba)
Signed-off-by: Patrick Wendell <patrick@databricks.com>
This is a somewhat obscure bug, but I think that it will seriously impact KryoSerializer users who use custom registrators which disabled auto-reset. When auto-reset is disabled, then this breaks things in some of our shuffle paths which actually end up creating multiple OutputStreams from the same shared SerializerInstance (which is unsafe).
This was introduced by a patch (SPARK-3386) which enables serializer re-use in some of the shuffle paths, since constructing new serializer instances is actually pretty costly for KryoSerializer. We had already fixed another corner-case (SPARK-7766) bug related to this, but missed this one.
I think that the root problem here is that KryoSerializerInstance can be used in a way which is unsafe even within a single thread, e.g. by creating multiple open OutputStreams from the same instance or by interleaving deserialize and deserializeStream calls. I considered a smaller patch which adds assertions to guard against this type of "misuse" but abandoned that approach after I realized how convoluted the Scaladoc became.
This patch fixes this bug by making it legal to create multiple streams from the same KryoSerializerInstance. Internally, KryoSerializerInstance now implements a `borrowKryo()` / `releaseKryo()` API that's backed by a "pool" of capacity 1. Each call to a KryoSerializerInstance method will borrow the Kryo, do its work, then release the serializer instance back to the pool. If the pool is empty and we need an instance, it will allocate a new Kryo on-demand. This makes it safe for multiple OutputStreams to be opened from the same serializer. If we try to release a Kryo back to the pool but the pool already contains a Kryo, then we'll just discard the new Kryo. I don't think there's a clear benefit to having a larger pool since our usages tend to fall into two cases, a) where we only create a single OutputStream and b) where we create a huge number of OutputStreams with the same lifecycle, then destroy the KryoSerializerInstance (this is what's happening in the bypassMergeSort code path that my regression test hits).
Author: Josh Rosen <joshrosen@databricks.com>
Closes#6415 from JoshRosen/SPARK-7873 and squashes the following commits:
00b402e [Josh Rosen] Initialize eagerly to fix a failing test
ba55d20 [Josh Rosen] Add explanatory comments
3f1da96 [Josh Rosen] Guard against duplicate close()
ab457ca [Josh Rosen] Sketch a loan/release based solution.
9816e8f [Josh Rosen] Add a failing test showing how deserialize() and deserializeStream() can interfere.
7350886 [Josh Rosen] Add failing regression test for SPARK-7873
(cherry picked from commit 852f4de2d3)
Signed-off-by: Patrick Wendell <patrick@databricks.com>
This PR has three changes:
1. Renaming the table of `ThriftServer` to `SQL`;
2. Renaming the title of the tab from `ThriftServer` to `JDBC/ODBC Server`; and
3. Renaming the title of the session page from `ThriftServer` to `JDBC/ODBC Session`.
https://issues.apache.org/jira/browse/SPARK-7907
Author: Yin Huai <yhuai@databricks.com>
Closes#6448 from yhuai/JDBCServer and squashes the following commits:
eadcc3d [Yin Huai] Update test.
9168005 [Yin Huai] Use SQL as the tab name.
221831e [Yin Huai] Rename ThriftServer to JDBCServer.
(cherry picked from commit 3c1f1baaf0)
Signed-off-by: Yin Huai <yhuai@databricks.com>
JIRA: https://issues.apache.org/jira/browse/SPARK-7897
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#6438 from viirya/jdbc_unsigned_bigint and squashes the following commits:
ccb3c3f [Liang-Chi Hsieh] Use DecimalType to represent unsigned bigint.
(cherry picked from commit a1e092eae5)
Signed-off-by: Reynold Xin <rxin@databricks.com>
This PR is based on PR #6396 authored by chenghao-intel. Essentially, Spark SQL should use context classloader to load SerDe classes.
yhuai helped updating the test case, and I fixed a bug in the original `CliSuite`: while testing the CLI tool with `runCliWithin`, we don't append `\n` to the last query, thus the last query is never executed.
Original PR description is pasted below.
----
```
bin/spark-sql --jars ./sql/hive/src/test/resources/hive-hcatalog-core-0.13.1.jar
CREATE TABLE t1(a string, b string) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe';
```
Throws exception like
```
15/05/26 00:16:33 ERROR SparkSQLDriver: Failed in [CREATE TABLE t1(a string, b string) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe']
org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. Cannot validate serde: org.apache.hive.hcatalog.data.JsonSerDe
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:333)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:310)
at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:139)
at org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:310)
at org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:300)
at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:457)
at org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:68)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:87)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:922)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:922)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:147)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:131)
at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:727)
at org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:57)
```
Author: Cheng Hao <hao.cheng@intel.com>
Author: Cheng Lian <lian@databricks.com>
Author: Yin Huai <yhuai@databricks.com>
Closes#6435 from liancheng/classLoader and squashes the following commits:
d4c4845 [Cheng Lian] Fixes CliSuite
75e80e2 [Yin Huai] Update the fix.
fd26533 [Cheng Hao] scalastyle
dd78775 [Cheng Hao] workaround for classloader of IsolatedClientLoader
(cherry picked from commit db3fd054f2)
Signed-off-by: Yin Huai <yhuai@databricks.com>
As stated in SPARK-7684, currently `TestHive.reset` has some execution order specific bug, which makes running specific test suites locally pretty frustrating. This PR refactors `MetastoreDataSourcesSuite` (which relies on `TestHive.reset` heavily) using various `withXxx` utility methods in `SQLTestUtils` to ask each test case to cleanup their own mess so that we can avoid calling `TestHive.reset`.
Author: Cheng Lian <lian@databricks.com>
Author: Yin Huai <yhuai@databricks.com>
Closes#6353 from liancheng/workaround-spark-7684 and squashes the following commits:
26939aa [Yin Huai] Move the initialization of jsonFilePath to beforeAll.
a423d48 [Cheng Lian] Fixes Scala style issue
dfe45d0 [Cheng Lian] Refactors MetastoreDataSourcesSuite to workaround SPARK-7684
92a116d [Cheng Lian] Fixes minor styling issues
(cherry picked from commit b97ddff000)
Signed-off-by: Yin Huai <yhuai@databricks.com>
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#6318 from adrian-wang/dynpart and squashes the following commits:
ad73b61 [Daoyuan Wang] not use sqlTestUtils for try catch because dont have sqlcontext here
6c33b51 [Daoyuan Wang] fix according to liancheng
f0f8074 [Daoyuan Wang] some specific types as dynamic partition
(cherry picked from commit 8161562eab)
Signed-off-by: Yin Huai <yhuai@databricks.com>
This should also close#6243.
Author: Reynold Xin <rxin@databricks.com>
Closes#6431 from rxin/JavaTypeInference-guava and squashes the following commits:
e58df3c [Reynold Xin] Removed Gauva dependency from JavaTypeInference's type signature.
(cherry picked from commit 6fec1a9409)
Signed-off-by: Reynold Xin <rxin@databricks.com>
This issue is related to #6419 .
Now AllJobPage doesn't have a "kill link" but I think fix the issue mentioned in #6419 just in case to avoid accidents in the future.
So, it's minor issue for now and I don't file this issue in JIRA.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#6432 from sarutak/remove-ambiguity-of-link and squashes the following commits:
cd1a503 [Kousuke Saruta] Fixed ambiguity link issue in AllJobPage
(cherry picked from commit 0db76c90ad)
Signed-off-by: Andrew Or <andrew@databricks.com>
Please refer to [SPARK-7847] [1] for details.
[1]: https://issues.apache.org/jira/browse/SPARK-7847
Author: Cheng Lian <lian@databricks.com>
Closes#6389 from liancheng/spark-7847 and squashes the following commits:
935c652 [Cheng Lian] Adds test case for writing various data types as dynamic partition value
f4fc398 [Cheng Lian] Converts partition columns to Scala type when writing dynamic partitions
d0aeca0 [Cheng Lian] Fixes dynamic partition directory escaping
(cherry picked from commit 15459db4f6)
Signed-off-by: Yin Huai <yhuai@databricks.com>
follow up for #6377
Change time to the equivalent in GMT
/cc squito
Author: scwf <wangfei1@huawei.com>
Closes#6425 from scwf/fix-HistoryServerSuite and squashes the following commits:
4d37935 [scwf] fix HistoryServerSuite
(cherry picked from commit 4615081d7a)
Signed-off-by: Imran Rashid <irashid@cloudera.com>
Two minor changes.
cc brkyvz
Author: Reynold Xin <rxin@databricks.com>
Closes#6428 from rxin/math-func-cleanup and squashes the following commits:
5910df5 [Reynold Xin] [SQL] Rename MathematicalExpression UnaryMathExpression, and specify BinaryMathExpression's output data type as DoubleType.
(cherry picked from commit 3e7d7d6b3d)
Signed-off-by: Reynold Xin <rxin@databricks.com>
JIRA: https://issues.apache.org/jira/browse/SPARK-7697
The reported problem case is mysql. But for h2 db, there is no unsigned int. So it is not able to add corresponding test.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#6229 from viirya/unsignedint_as_long and squashes the following commits:
dc4b5d8 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into unsignedint_as_long
608695b [Liang-Chi Hsieh] Use LongType for unsigned int in JDBCRDD.
(cherry picked from commit 4f98d7a7f1)
Signed-off-by: Reynold Xin <rxin@databricks.com>
I grep'ed hive-0.12.0 in the source code and removed all the profiles and doc references.
Author: Cheolsoo Park <cheolsoop@netflix.com>
Closes#6393 from piaozhexiu/SPARK-7850 and squashes the following commits:
fb429ce [Cheolsoo Park] Remove hive-0.13.1 profile
82bf09a [Cheolsoo Park] Remove hive 0.12.0 shim code
f3722da [Cheolsoo Park] Remove hive-0.12.0 profile and references from POM and build docs
(cherry picked from commit 6dd645870d)
Signed-off-by: Reynold Xin <rxin@databricks.com>
So that potential partial/corrupted data files left by failed tasks/jobs won't affect normal data scan.
Author: Cheng Lian <lian@databricks.com>
Closes#6411 from liancheng/spark-7868 and squashes the following commits:
273ea36 [Cheng Lian] Ignores _temporary directories
(cherry picked from commit b463e6d618)
Signed-off-by: Yin Huai <yhuai@databricks.com>
In `DataSourceStrategy.createPhysicalRDD`, we use the relation schema as the target schema for converting incoming rows into Catalyst rows. However, we should be using the output schema instead, since our scan might return a subset of the relation's columns.
This patch incorporates #6414 by liancheng, which fixes an issue in `SimpleTestRelation` that prevented this bug from being caught by our old tests:
> In `SimpleTextRelation`, we specified `needsConversion` to `true`, indicating that values produced by this testing relation should be of Scala types, and need to be converted to Catalyst types when necessary. However, we also used `Cast` to convert strings to expected data types. And `Cast` always produces values of Catalyst types, thus no conversion is done at all. This PR makes `SimpleTextRelation` produce Scala values so that data conversion code paths can be properly tested.
Closes#5986.
Author: Josh Rosen <joshrosen@databricks.com>
Author: Cheng Lian <lian@databricks.com>
Author: Cheng Lian <liancheng@users.noreply.github.com>
Closes#6400 from JoshRosen/SPARK-7858 and squashes the following commits:
e71c866 [Josh Rosen] Re-fix bug so that the tests pass again
56b13e5 [Josh Rosen] Add regression test to hadoopFsRelationSuites
2169a0f [Josh Rosen] Remove use of SpecificMutableRow and BufferedIterator
6cd7366 [Josh Rosen] Fix SPARK-7858 by using output types for conversion.
5a00e66 [Josh Rosen] Add assertions in order to reproduce SPARK-7858
8ba195c [Cheng Lian] Merge 9968fba9979287aaa1f141ba18bfb9d4c116a3b3 into 61664732b2
9968fba [Cheng Lian] Tests the data type conversion code paths
(cherry picked from commit 0c33c7b4a6)
Signed-off-by: Yin Huai <yhuai@databricks.com>
Fixing broken trainImplicit Scala example in MLlib Collaborative Filtering documentation to match one of the possible ALS.trainImplicit function signatures.
Author: Mike Dusenberry <dusenberrymw@gmail.com>
Closes#6422 from dusenberrymw/Fix_MLlib_Collab_Filtering_trainImplicit_Example and squashes the following commits:
36492f4 [Mike Dusenberry] Fixing broken trainImplicit example in MLlib Collaborative Filtering documentation to match one of the possible ALS.trainImplicit function signatures.
(cherry picked from commit 0463428b6e)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
**Reproduction.** Run a long-running job, go to the job page, expand the DAG visualization, and click into a stage. Your stage is now killed. Why? This is because the visualization code just reaches into the stage table and grabs the first link it finds. In our case, this first link happens to be the kill link instead of the one to the stage page.
**Fix.** Use proper CSS selectors to avoid ambiguity.
This is an alternative to #6407. Thanks carsonwang for catching this.
Author: Andrew Or <andrew@databricks.com>
Closes#6419 from andrewor14/fix-ui-viz-kill and squashes the following commits:
25203bd [Andrew Or] Do not kill innocent stages
(cherry picked from commit 8f20824268)
Signed-off-by: Andrew Or <andrew@databricks.com>
With descent coverage of feature transformers, algorithms, and model tuning support, it is time to graduate `spark.ml` from alpha. This PR changes all `AlphaComponent` annotations to either `DeveloperApi` or `Experimental`, depending on whether we expect a class/method to be used by end users (who use the pipeline API to assemble/tune their ML pipelines but not to create new pipeline components.) `UnaryTransformer` becomes a `DeveloperApi` in this PR.
jkbradley harsha2010
Author: Xiangrui Meng <meng@databricks.com>
Closes#6417 from mengxr/SPARK-7748 and squashes the following commits:
effbccd [Xiangrui Meng] organize imports
c15028e [Xiangrui Meng] added missing docs
1b2e5f8 [Xiangrui Meng] update package doc
73ca791 [Xiangrui Meng] alpha -> ex/dev for the rest
93819db [Xiangrui Meng] alpha -> ex/dev in ml.param
55ca073 [Xiangrui Meng] alpha -> ex/dev in ml.feature
83572f1 [Xiangrui Meng] add Experimental and DeveloperApi tags (wip)
(cherry picked from commit 836a75898f)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
This corresponds to https://github.com/mesos/spark-ec2/pull/116 in the spark-ec2 repo. The only changes required on the spark_ec2.py script is to open the RM port.
cc andrewor14
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes#6376 from shivaram/spark-ec2-yarn and squashes the following commits:
961504a [Shivaram Venkataraman] Merge branch 'master' of https://github.com/apache/spark into spark-ec2-yarn
152c94c [Shivaram Venkataraman] Open 8088 for YARN in EC2
(cherry picked from commit 2e9a5f229e)
Signed-off-by: Andrew Or <andrew@databricks.com>
The densities in KernelDensity are scaled down by
(number of parallel processes X number of points). It should be just no.of samples. This results in broken tests in KernelDensitySuite which haven't been tested properly.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#6383 from MechCoder/spark-7844 and squashes the following commits:
ab81302 [MechCoder] Math->math
9b8ed50 [MechCoder] Make one pass to update count
a92fe50 [MechCoder] [SPARK-7844] Fix broken tests in KernelDensity
(cherry picked from commit 61664732b2)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
