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* [SPARK-5234][ml]examples for ml don't have sparkContext.stopYuhao Yang2015-01-143-0/+6
| | | | | | | | | | | | JIRA issue: https://issues.apache.org/jira/browse/SPARK-5234 simply add the call. Author: Yuhao Yang <yuhao@yuhaodevbox.sh.intel.com> Closes #4044 from hhbyyh/addscStop and squashes the following commits: c1f75ac [Yuhao Yang] add SparkContext.stop to 3 ml examples
* [SPARK-5235] Make SQLConf SerializableAlex Baretta2015-01-141-1/+1
| | | | | | | | | | Declare SQLConf to be serializable to fix "Task not serializable" exceptions in SparkSQL Author: Alex Baretta <alexbaretta@gmail.com> Closes #4031 from alexbaretta/SPARK-5235-SQLConf and squashes the following commits: c2103f5 [Alex Baretta] [SPARK-5235] Make SQLConf Serializable
* [SPARK-4014] Add TaskContext.attemptNumber and deprecate TaskContext.attemptIdJosh Rosen2015-01-1425-48/+168
| | | | | | | | | | | | | | | | | | | | | | | | | | | | `TaskContext.attemptId` is misleadingly-named, since it currently returns a taskId, which uniquely identifies a particular task attempt within a particular SparkContext, instead of an attempt number, which conveys how many times a task has been attempted. This patch deprecates `TaskContext.attemptId` and add `TaskContext.taskId` and `TaskContext.attemptNumber` fields. Prior to this change, it was impossible to determine whether a task was being re-attempted (or was a speculative copy), which made it difficult to write unit tests for tasks that fail on early attempts or speculative tasks that complete faster than original tasks. Earlier versions of the TaskContext docs suggest that `attemptId` behaves like `attemptNumber`, so there's an argument to be made in favor of changing this method's implementation. Since we've decided against making that change in maintenance branches, I think it's simpler to add better-named methods and retain the old behavior for `attemptId`; if `attemptId` behaved differently in different branches, then this would cause confusing build-breaks when backporting regression tests that rely on the new `attemptId` behavior. Most of this patch is fairly straightforward, but there is a bit of trickiness related to Mesos tasks: since there's no field in MesosTaskInfo to encode the attemptId, I packed it into the `data` field alongside the task binary. Author: Josh Rosen <joshrosen@databricks.com> Closes #3849 from JoshRosen/SPARK-4014 and squashes the following commits: 89d03e0 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 5cfff05 [Josh Rosen] Introduce wrapper for serializing Mesos task launch data. 38574d4 [Josh Rosen] attemptId -> taskAttemptId in PairRDDFunctions a180b88 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 1d43aa6 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 eee6a45 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 0b10526 [Josh Rosen] Use putInt instead of putLong (silly mistake) 8c387ce [Josh Rosen] Use local with maxRetries instead of local-cluster. cbe4d76 [Josh Rosen] Preserve attemptId behavior and deprecate it: b2dffa3 [Josh Rosen] Address some of Reynold's minor comments 9d8d4d1 [Josh Rosen] Doc typo 1e7a933 [Josh Rosen] [SPARK-4014] Change TaskContext.attemptId to return attempt number instead of task ID. fd515a5 [Josh Rosen] Add failing test for SPARK-4014
* [SPARK-5228][WebUI] Hide tables for "Active Jobs/Completed Jobs/Failed Jobs" ↵Kousuke Saruta2015-01-141-19/+43
| | | | | | | | | | | | | | | | | | | | | | when they are empty In current WebUI, tables for Active Stages, Completed Stages, Skipped Stages and Failed Stages are hidden when they are empty while tables for Active Jobs, Completed Jobs and Failed Jobs are not hidden though they are empty. This is before my patch is applied. ![2015-01-13 14 13 03](https://cloud.githubusercontent.com/assets/4736016/5730793/2b73d6f4-9b32-11e4-9a24-1784d758c644.png) And this is after my patch is applied. ![2015-01-13 14 38 13](https://cloud.githubusercontent.com/assets/4736016/5730797/359ea2da-9b32-11e4-97b0-544739ddbf4c.png) Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #4028 from sarutak/SPARK-5228 and squashes the following commits: b1e6e8b [Kousuke Saruta] Fixed a small typo daab563 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-5228 9493a1d [Kousuke Saruta] Modified AllJobPage.scala so that hide Active Jobs/Completed Jobs/Failed Jobs when they are empty
* [SPARK-2909] [MLlib] [PySpark] SparseVector in pyspark now supports indexingMechCoder2015-01-142-0/+29
| | | | | | | | | | | | | Slightly different than the scala code which converts the sparsevector into a densevector and then checks the index. I also hope I've added tests in the right place. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #4025 from MechCoder/spark-2909 and squashes the following commits: 07d0f26 [MechCoder] STY: Rename item to index f02148b [MechCoder] [SPARK-2909] [Mlib] SparseVector in pyspark now supports indexing
* [SQL] some comments fix for GROUPING SETSDaoyuan Wang2015-01-141-6/+6
| | | | | | | | Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #4000 from adrian-wang/comment and squashes the following commits: 9c24fc4 [Daoyuan Wang] some comments
* [SPARK-5211][SQL]Restore HiveMetastoreTypes.toDataTypeYin Huai2015-01-142-5/+8
| | | | | | | | | | | jira: https://issues.apache.org/jira/browse/SPARK-5211 Author: Yin Huai <yhuai@databricks.com> Closes #4026 from yhuai/SPARK-5211 and squashes the following commits: 15ee32b [Yin Huai] Remove extra line. c6c1651 [Yin Huai] Get back HiveMetastoreTypes.toDataType.
* [SPARK-5248] [SQL] move sql.types.decimal.Decimal to sql.types.DecimalDaoyuan Wang2015-01-1422-29/+13
| | | | | | | | | | | rxin follow up of #3732 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #4041 from adrian-wang/decimal and squashes the following commits: aa3d738 [Daoyuan Wang] fix auto refactor 7777a58 [Daoyuan Wang] move sql.types.decimal.Decimal to sql.types.Decimal
* [SPARK-5167][SQL] Move Row into sql package and make it usable for Java.Reynold Xin2015-01-147-174/+304
| | | | | | | | | | | | | | | | | | | | Mostly just moving stuff around. This should still be source compatible since we type aliased Row previously in org.apache.spark.sql.Row. Added the following APIs to Row: ```scala def getMap[K, V](i: Int): scala.collection.Map[K, V] def getJavaMap[K, V](i: Int): java.util.Map[K, V] def getSeq[T](i: Int): Seq[T] def getList[T](i: Int): java.util.List[T] def getStruct(i: Int): StructType ``` Author: Reynold Xin <rxin@databricks.com> Closes #4030 from rxin/sql-row and squashes the following commits: 6c85c29 [Reynold Xin] Fixed style violation by adding a new line to Row.scala. 82b064a [Reynold Xin] [SPARK-5167][SQL] Move Row into sql package and make it usable for Java.
* [SPARK-5123][SQL] Reconcile Java/Scala API for data types.Reynold Xin2015-01-13160-2096/+756
| | | | | | | | | | | | | | Having two versions of the data type APIs (one for Java, one for Scala) requires downstream libraries to also have two versions of the APIs if the library wants to support both Java and Scala. I took a look at the Scala version of the data type APIs - it can actually work out pretty well for Java out of the box. As part of the PR, I created a sql.types package and moved all type definitions there. I then removed the Java specific data type API along with a lot of the conversion code. This subsumes https://github.com/apache/spark/pull/3925 Author: Reynold Xin <rxin@databricks.com> Closes #3958 from rxin/SPARK-5123-datatype-2 and squashes the following commits: 66505cc [Reynold Xin] [SPARK-5123] Expose only one version of the data type APIs (i.e. remove the Java-specific API).
* [SPARK-5168] Make SQLConf a field rather than mixin in SQLContextReynold Xin2015-01-1333-92/+124
| | | | | | | | | | | | | This change should be binary and source backward compatible since we didn't change any user facing APIs. Author: Reynold Xin <rxin@databricks.com> Closes #3965 from rxin/SPARK-5168-sqlconf and squashes the following commits: 42eec09 [Reynold Xin] Fix default conf value. 0ef86cc [Reynold Xin] Fix constructor ordering. 4d7f910 [Reynold Xin] Properly override config. ccc8e6a [Reynold Xin] [SPARK-5168] Make SQLConf a field rather than mixin in SQLContext
* [SPARK-4912][SQL] Persistent tables for the Spark SQL data sources apiYin Huai2015-01-1314-28/+461
| | | | | | | | | | | | | | | | | | | | | | | | | | | With changes in this PR, users can persist metadata of tables created based on the data source API in metastore through DDLs. Author: Yin Huai <yhuai@databricks.com> Author: Michael Armbrust <michael@databricks.com> Closes #3960 from yhuai/persistantTablesWithSchema2 and squashes the following commits: 069c235 [Yin Huai] Make exception messages user friendly. c07cbc6 [Yin Huai] Get the location of test file in a correct way. 4456e98 [Yin Huai] Test data. 5315dfc [Yin Huai] rxin's comments. 7fc4b56 [Yin Huai] Add DDLStrategy and HiveDDLStrategy to plan DDLs based on the data source API. aeaf4b3 [Yin Huai] Add comments. 06f9b0c [Yin Huai] Revert unnecessary changes. feb88aa [Yin Huai] Merge remote-tracking branch 'apache/master' into persistantTablesWithSchema2 172db80 [Yin Huai] Fix unit test. 49bf1ac [Yin Huai] Unit tests. 8f8f1a1 [Yin Huai] [SPARK-4574][SQL] Adding support for defining schema in foreign DDL commands. #3431 f47fda1 [Yin Huai] Unit tests. 2b59723 [Michael Armbrust] Set external when creating tables c00bb1b [Michael Armbrust] Don't use reflection to read options 1ea6e7b [Michael Armbrust] Don't fail when trying to uncache a table that doesn't exist 6edc710 [Michael Armbrust] Add tests. d7da491 [Michael Armbrust] First draft of persistent tables.
* [SPARK-5223] [MLlib] [PySpark] fix MapConverter and ListConverter in MLlibDavies Liu2015-01-131-4/+2
| | | | | | | | | | | | | | | It will introduce problems if the object in dict/list/tuple can not support by py4j, such as Vector. Also, pickle may have better performance for larger object (less RPC). In some cases that the object in dict/list can not be pickled (such as JavaObject), we should still use MapConvert/ListConvert. This PR should be ported into branch-1.2 Author: Davies Liu <davies@databricks.com> Closes #4023 from davies/listconvert and squashes the following commits: 55d4ab2 [Davies Liu] fix MapConverter and ListConverter in MLlib
* [SPARK-5131][Streaming][DOC]: There is a discrepancy in WAL implementation ↵uncleGen2015-01-132-2/+2
| | | | | | | | | | | | | and configuration doc. There is a discrepancy in WAL implementation and configuration doc. Author: uncleGen <hustyugm@gmail.com> Closes #3930 from uncleGen/master-clean-doc and squashes the following commits: 3a4245f [uncleGen] doc typo 8e407d3 [uncleGen] doc typo
* [SPARK-4697][YARN]System properties should override environment variablesWangTaoTheTonic2015-01-133-10/+18
| | | | | | | | | | | | | | | | | I found some arguments in yarn module take environment variables before system properties while the latter override the former in core module. Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #3557 from WangTaoTheTonic/SPARK4697 and squashes the following commits: 836b9ef [WangTaoTheTonic] fix type mismatch e3e486a [WangTaoTheTonic] remove the comma 1262d57 [WangTaoTheTonic] handle spark.app.name and SPARK_YARN_APP_NAME in SparkSubmitArguments bee9447 [WangTaoTheTonic] wrong brace 81833bb [WangTaoTheTonic] rebase 40934b4 [WangTaoTheTonic] just switch blocks 5f43f45 [WangTao] System property can override environment variable
* [SPARK-5006][Deploy]spark.port.maxRetries doesn't workWangTaoTheTonic2015-01-1314-31/+33
| | | | | | | | | | | | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-5006 I think the issue is produced in https://github.com/apache/spark/pull/1777. Not digging mesos's backend yet. Maybe should add same logic either. Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #3841 from WangTaoTheTonic/SPARK-5006 and squashes the following commits: 8cdf96d [WangTao] indent thing 2d86d65 [WangTaoTheTonic] fix line length 7cdfd98 [WangTaoTheTonic] fit for new HttpServer constructor 61a370d [WangTaoTheTonic] some minor fixes bc6e1ec [WangTaoTheTonic] rebase 67bcb46 [WangTaoTheTonic] put conf at 3rd position, modify suite class, add comments f450cd1 [WangTaoTheTonic] startServiceOnPort will use a SparkConf arg 29b751b [WangTaoTheTonic] rebase as ExecutorRunnableUtil changed to ExecutorRunnable 396c226 [WangTaoTheTonic] make the grammar more like scala 191face [WangTaoTheTonic] invalid value name 62ec336 [WangTaoTheTonic] spark.port.maxRetries doesn't work
* [SPARK-5138][SQL] Ensure schema can be inferred from a namedtupleGabe Mulley2015-01-121-4/+14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | When attempting to infer the schema of an RDD that contains namedtuples, pyspark fails to identify the records as namedtuples, resulting in it raising an error. Example: ```python from pyspark import SparkContext from pyspark.sql import SQLContext from collections import namedtuple import os sc = SparkContext() rdd = sc.textFile(os.path.join(os.getenv('SPARK_HOME'), 'README.md')) TextLine = namedtuple('TextLine', 'line length') tuple_rdd = rdd.map(lambda l: TextLine(line=l, length=len(l))) tuple_rdd.take(5) # This works sqlc = SQLContext(sc) # The following line raises an error schema_rdd = sqlc.inferSchema(tuple_rdd) ``` The error raised is: ``` File "/opt/spark-1.2.0-bin-hadoop2.4/python/pyspark/worker.py", line 107, in main process() File "/opt/spark-1.2.0-bin-hadoop2.4/python/pyspark/worker.py", line 98, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/opt/spark-1.2.0-bin-hadoop2.4/python/pyspark/serializers.py", line 227, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/opt/spark-1.2.0-bin-hadoop2.4/python/pyspark/rdd.py", line 1107, in takeUpToNumLeft yield next(iterator) File "/opt/spark-1.2.0-bin-hadoop2.4/python/pyspark/sql.py", line 816, in convert_struct raise ValueError("unexpected tuple: %s" % obj) TypeError: not all arguments converted during string formatting ``` Author: Gabe Mulley <gabe@edx.org> Closes #3978 from mulby/inferschema-namedtuple and squashes the following commits: 98c61cc [Gabe Mulley] Ensure exception message is populated correctly 375d96b [Gabe Mulley] Ensure schema can be inferred from a namedtuple
* [SPARK-5049][SQL] Fix ordering of partition columns in ParquetTableScanMichael Armbrust2015-01-123-18/+41
| | | | | | | | | | Followup to #3870. Props to rahulaggarwalguavus for identifying the issue. Author: Michael Armbrust <michael@databricks.com> Closes #3990 from marmbrus/SPARK-5049 and squashes the following commits: dd03e4e [Michael Armbrust] Fill in the partition values of parquet scans instead of using JoinedRow
* [SPARK-4999][Streaming] Change storeInBlockManager to false by defaultjerryshao2015-01-121-1/+1
| | | | | | | | | | Currently WAL-backed block is read out from HDFS and put into BlockManger with storage level MEMORY_ONLY_SER by default, since WAL-backed block is already materialized in HDFS with fault-tolerance, no need to put into BlockManger again by default. Author: jerryshao <saisai.shao@intel.com> Closes #3906 from jerryshao/SPARK-4999 and squashes the following commits: b95f95e [jerryshao] Change storeInBlockManager to false by default
* SPARK-5172 [BUILD] spark-examples-***.jar shades a wrong Hadoop distributionSean Owen2015-01-122-24/+4
| | | | | | | | | | | | | | In addition to the `hadoop-2.x` profiles in the parent POM, there is actually another set of profiles in `examples` that has to be activated differently to get the right Hadoop 1 vs 2 flavor of HBase. This wasn't actually used in making Hadoop 2 distributions, hence the problem. To reduce complexity, I suggest merging them with the parent POM profiles, which is possible now. You'll see this changes appears to update the HBase version, but actually, the default 0.94 version was not being used. HBase is only used in examples, and the examples POM always chose one profile or the other that updated the version to 0.98.x anyway. Author: Sean Owen <sowen@cloudera.com> Closes #3992 from srowen/SPARK-5172 and squashes the following commits: 17830d9 [Sean Owen] Control hbase hadoop1/2 flavor in the parent POM with existing hadoop-2.x profiles
* [SPARK-5078] Optionally read from SPARK_LOCAL_HOSTNAMEMichael Armbrust2015-01-121-1/+1
| | | | | | | | | | Current spark lets you set the ip address using SPARK_LOCAL_IP, but then this is given to akka after doing a reverse DNS lookup. This makes it difficult to run spark in Docker. You can already change the hostname that is used programmatically, but it would be nice to be able to do this with an environment variable as well. Author: Michael Armbrust <michael@databricks.com> Closes #3893 from marmbrus/localHostnameEnv and squashes the following commits: 85045b6 [Michael Armbrust] Optionally read from SPARK_LOCAL_HOSTNAME
* SPARK-4159 [BUILD] Addendum: improve running of single test after enabling ↵Sean Owen2015-01-121-0/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | Java tests https://issues.apache.org/jira/browse/SPARK-4159 was resolved but as Sandy points out, the guidance in https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools under "Running Individual Tests" no longer quite works, not optimally. This minor change is not really the important change, which is an update to the wiki text. The correct way to run one Scala test suite in Maven is now: ``` mvn test -DwildcardSuites=org.apache.spark.io.CompressionCodecSuite -Dtests=none ``` The correct way to run one Java test is ``` mvn test -DwildcardSuites=none -Dtests=org.apache.spark.streaming.JavaAPISuite ``` Basically, you have to set two properties in order to suppress all of one type of test (with a non-existent test name like 'none') and all but one test of the other type. The change in the PR just prevents Surefire from barfing when it finds no "none" test. Author: Sean Owen <sowen@cloudera.com> Closes #3993 from srowen/SPARK-4159 and squashes the following commits: 83106d7 [Sean Owen] Default failIfNoTests to false to enable the -DwildcardSuites=... -Dtests=... syntax for running one test to work
* [SPARK-5102][Core]subclass of MapStatus needs to be registered with Kryolianhuiwang2015-01-121-2/+3
| | | | | | | | | | | CompressedMapStatus and HighlyCompressedMapStatus needs to be registered with Kryo, because they are subclass of MapStatus. Author: lianhuiwang <lianhuiwang09@gmail.com> Closes #4007 from lianhuiwang/SPARK-5102 and squashes the following commits: 9d2238a [lianhuiwang] remove register of MapStatus 05a285d [lianhuiwang] subclass of MapStatus needs to be registered with Kryo
* [SPARK-5200] Disable web UI in Hive ThriftServer testsJosh Rosen2015-01-121-0/+2
| | | | | | | | | | Disables the Spark web UI in HiveThriftServer2Suite in order to prevent Jenkins test failures due to port contention. Author: Josh Rosen <joshrosen@databricks.com> Closes #3998 from JoshRosen/SPARK-5200 and squashes the following commits: a384416 [Josh Rosen] [SPARK-5200] Disable web UI in Hive Thriftserver tests.
* SPARK-5018 [MLlib] [WIP] Make MultivariateGaussian publicTravis Galoppo2015-01-114-41/+75
| | | | | | | | | | | | | | | | | | | | | Moving MutlivariateGaussian from private[mllib] to public. The class uses Breeze vectors internally, so this involves creating a public interface using MLlib vectors and matrices. This initial commit provides public construction, accessors for mean/covariance, density and log-density. Other potential methods include entropy and sample generation. Author: Travis Galoppo <tjg2107@columbia.edu> Closes #3923 from tgaloppo/spark-5018 and squashes the following commits: 2b15587 [Travis Galoppo] Style correction b4121b4 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' into spark-5018 e30a100 [Travis Galoppo] Made mu, sigma private[mllib] members of MultivariateGaussian Moved MultivariateGaussian (and test suite) from stat.impl to stat.distribution (required updates in GaussianMixture{EM,Model}.scala) Marked MultivariateGaussian as @DeveloperApi Fixed style error 9fa3bb7 [Travis Galoppo] Style improvements 91a5fae [Travis Galoppo] Rearranged equation for part of density function 8c35381 [Travis Galoppo] Fixed accessor methods to match member variable names. Modified calculations to avoid log(pow(x,y)) calculations 0943dc4 [Travis Galoppo] SPARK-5018 4dee9e1 [Travis Galoppo] SPARK-5018
* [SPARK-4033][Examples]Input of the SparkPi too big causes the emption exceptionhuangzhaowei2015-01-111-2/+2
| | | | | | | | | | | | | | | If input of the SparkPi args is larger than the 25000, the integer 'n' inside the code will be overflow, and may be a negative number. And it causes the (0 until n) Seq as an empty seq, then doing the action 'reduce' will throw the UnsupportedOperationException("empty collection"). The max size of the input of sc.parallelize is Int.MaxValue - 1, not the Int.MaxValue. Author: huangzhaowei <carlmartinmax@gmail.com> Closes #2874 from SaintBacchus/SparkPi and squashes the following commits: 62d7cd7 [huangzhaowei] Add a commit to explain the modify 4cdc388 [huangzhaowei] Update SparkPi.scala 9a2fb7b [huangzhaowei] Input of the SparkPi is too big
* [SPARK-4951][Core] Fix the issue that a busy executor may be killedzsxwing2015-01-113-45/+144
| | | | | | | | | | | | | | | | | | | | | | A few changes to fix this issue: 1. Handle the case that receiving `SparkListenerTaskStart` before `SparkListenerBlockManagerAdded`. 2. Don't add `executorId` to `removeTimes` when the executor is busy. 3. Use `HashMap.retain` to safely traverse the HashMap and remove items. 4. Use the same lock in ExecutorAllocationManager and ExecutorAllocationListener to fix the race condition in `totalPendingTasks`. 5. Move the blocking codes out of the message processing code in YarnSchedulerActor. Author: zsxwing <zsxwing@gmail.com> Closes #3783 from zsxwing/SPARK-4951 and squashes the following commits: d51fa0d [zsxwing] Add comments 2e365ce [zsxwing] Remove expired executors from 'removeTimes' and add idle executors back when a new executor joins 49f61a9 [zsxwing] Eliminate duplicate executor registered warnings d4c4e9a [zsxwing] Minor fixes for the code style 05f6238 [zsxwing] Move the blocking codes out of the message processing code 105ba3a [zsxwing] Fix the race condition in totalPendingTasks d5c615d [zsxwing] Fix the issue that a busy executor may be killed
* [SPARK-5073] spark.storage.memoryMapThreshold have two default valuelewuathe2015-01-112-2/+3
| | | | | | | | | | | | | Because major OS page sizes is about 4KB, the default value of spark.storage.memoryMapThreshold is integrated to 2 * 4096 Author: lewuathe <lewuathe@me.com> Closes #3900 from Lewuathe/integrate-memoryMapThreshold and squashes the following commits: e417acd [lewuathe] [SPARK-5073] Update docs/configuration 834aba4 [lewuathe] [SPARK-5073] Fix style adcea33 [lewuathe] [SPARK-5073] Integrate memory map threshold to 2MB fcce2e5 [lewuathe] [SPARK-5073] spark.storage.memoryMapThreshold have two default value
* [SPARK-5032] [graphx] Remove GraphX MIMA exclude for 1.3Joseph K. Bradley2015-01-102-2/+3
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Since GraphX is no longer alpha as of 1.2, MimaExcludes should not exclude GraphX for 1.3 Here are the individual excludes I had to add + the associated commits: ``` // SPARK-4444 ProblemFilters.exclude[IncompatibleResultTypeProblem]( "org.apache.spark.graphx.EdgeRDD.fromEdges"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.EdgeRDD.filter"), ProblemFilters.exclude[IncompatibleResultTypeProblem]( "org.apache.spark.graphx.impl.EdgeRDDImpl.filter"), ``` [https://github.com/apache/spark/commit/9ac2bb18ede2e9f73c255fa33445af89aaf8a000] ``` // SPARK-3623 ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.checkpoint") ``` [https://github.com/apache/spark/commit/e895e0cbecbbec1b412ff21321e57826d2d0a982] ``` // SPARK-4620 ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.unpersist"), ``` [https://github.com/apache/spark/commit/8817fc7fe8785d7b11138ca744f22f7e70f1f0a0] CC: rxin Author: Joseph K. Bradley <joseph@databricks.com> Closes #3856 from jkbradley/graphx-mima and squashes the following commits: 1eea2f6 [Joseph K. Bradley] moved cleanup to run-tests 527ccd9 [Joseph K. Bradley] fixed jenkins script to remove ivy2 cache 802e252 [Joseph K. Bradley] Removed GraphX MIMA excludes and added line to clear spark from .m2 dir before Jenkins tests. This may not work yet... 30f8bb4 [Joseph K. Bradley] added individual mima excludes for graphx a3fea42 [Joseph K. Bradley] removed graphx mima exclude for 1.3
* [SPARK-5029][SQL] Enable from follow multiple bracketsscwf2015-01-102-1/+18
| | | | | | | | | | | | | Enable from follow multiple brackets: ``` select key from ((select * from testData limit 1) union all (select * from testData limit 1)) x limit 1 ``` Author: scwf <wangfei1@huawei.com> Closes #3853 from scwf/from and squashes the following commits: 14f110a [scwf] enable from follow multiple brackets
* [SPARK-4871][SQL] Show sql statement in spark ui when run sql with spark-sqlwangfei2015-01-104-9/+3
| | | | | | | | | | | | Author: wangfei <wangfei1@huawei.com> Closes #3718 from scwf/sparksqlui and squashes the following commits: e0d6b5d [wangfei] format fix 383b505 [wangfei] fix conflicts 4d2038a [wangfei] using setJobDescription df79837 [wangfei] fix compile error 92ce834 [wangfei] show sql statement in spark ui when run sql use spark-sql
* [Minor]Resolve sbt warnings during build (MQTTStreamSuite.scala).GuoQiang Li2015-01-101-0/+1
| | | | | | | | | | cc andrewor14 Author: GuoQiang Li <witgo@qq.com> Closes #3989 from witgo/MQTTStreamSuite and squashes the following commits: a6e967e [GuoQiang Li] Resolve sbt warnings during build (MQTTStreamSuite.scala).
* [SPARK-5181] do not print writing WAL log when WAL is disabledCodingCat2015-01-101-2/+4
| | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-5181 Currently, even the logManager is not created, we still see the log entry s"Writing to log $record" a simple fix to make log more accurate Author: CodingCat <zhunansjtu@gmail.com> Closes #3985 from CodingCat/SPARK-5181 and squashes the following commits: 0e27dc5 [CodingCat] do not print writing WAL log when WAL is disabled
* [SPARK-4692] [SQL] Support ! boolean logic operator like NOTYanTangZhai2015-01-103-0/+10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <hakeemzhai@tencent.com> Author: Michael Armbrust <michael@databricks.com> Closes #3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request #23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request #12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
* [SPARK-5187][SQL] Fix caching of tables with HiveUDFs in the WHERE clauseMichael Armbrust2015-01-103-2/+8
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #3987 from marmbrus/hiveUdfCaching and squashes the following commits: 8bca2fa [Michael Armbrust] [SPARK-5187][SQL] Fix caching of tables with HiveUDFs in the WHERE clause
* SPARK-4963 [SQL] Add copy to SQL's Sample operatorYanbo Liang2015-01-102-1/+13
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-4963 SchemaRDD.sample() return wrong results due to GapSamplingIterator operating on mutable row. HiveTableScan make RDD with SpecificMutableRow and SchemaRDD.sample() will return GapSamplingIterator for iterating. override def next(): T = { val r = data.next() advance r } GapSamplingIterator.next() return the current underlying element and assigned it to r. However if the underlying iterator is mutable row just like what HiveTableScan returned, underlying iterator and r will point to the same object. After advance operation, we drop some underlying elments and it also changed r which is not expected. Then we return the wrong value different from initial r. To fix this issue, the most direct way is to make HiveTableScan return mutable row with copy just like the initial commit that I have made. This solution will make HiveTableScan can not get the full advantage of reusable MutableRow, but it can make sample operation return correct result. Further more, we need to investigate GapSamplingIterator.next() and make it can implement copy operation inside it. To achieve this, we should define every elements that RDD can store implement the function like cloneable and it will make huge change. Author: Yanbo Liang <yanbohappy@gmail.com> Closes #3827 from yanbohappy/spark-4963 and squashes the following commits: 0912ca0 [Yanbo Liang] code format keep 65c4e7c [Yanbo Liang] import file and clear annotation 55c7c56 [Yanbo Liang] better output of test case cea7e2e [Yanbo Liang] SchemaRDD add copy operation before Sample operator e840829 [Yanbo Liang] HiveTableScan return mutable row with copy
* [SPARK-4861][SQL] Refactory command in spark sqlscwf2015-01-1013-151/+141
| | | | | | | | | | | | | | | Follow up for #3712. This PR finally remove ```CommandStrategy``` and make all commands follow ```RunnableCommand``` so they can go with ```case r: RunnableCommand => ExecutedCommand(r) :: Nil```. One exception is the ```DescribeCommand``` of hive, which is a special case and need to distinguish hive table and temporary table, so still keep ```HiveCommandStrategy``` here. Author: scwf <wangfei1@huawei.com> Closes #3948 from scwf/followup-SPARK-4861 and squashes the following commits: 6b48e64 [scwf] minor style fix 2c62e9d [scwf] fix for hive module 5a7a819 [scwf] Refactory command in spark sql
* [SPARK-4574][SQL] Adding support for defining schema in foreign DDL commands.scwf2015-01-106-113/+400
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Adding support for defining schema in foreign DDL commands. Now foreign DDL support commands like: ``` CREATE TEMPORARY TABLE avroTable USING org.apache.spark.sql.avro OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro") ``` With this PR user can define schema instead of infer from file, so support ddl command as follows: ``` CREATE TEMPORARY TABLE avroTable(a int, b string) USING org.apache.spark.sql.avro OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro") ``` Author: scwf <wangfei1@huawei.com> Author: Yin Huai <yhuai@databricks.com> Author: Fei Wang <wangfei1@huawei.com> Author: wangfei <wangfei1@huawei.com> Closes #3431 from scwf/ddl and squashes the following commits: 7e79ce5 [Fei Wang] Merge pull request #22 from yhuai/pr3431yin 38f634e [Yin Huai] Remove Option from createRelation. 65e9c73 [Yin Huai] Revert all changes since applying a given schema has not been testd. a852b10 [scwf] remove cleanIdentifier f336a16 [Fei Wang] Merge pull request #21 from yhuai/pr3431yin baf79b5 [Yin Huai] Test special characters quoted by backticks. 50a03b0 [Yin Huai] Use JsonRDD.nullTypeToStringType to convert NullType to StringType. 1eeb769 [Fei Wang] Merge pull request #20 from yhuai/pr3431yin f5c22b0 [Yin Huai] Refactor code and update test cases. f1cffe4 [Yin Huai] Revert "minor refactory" b621c8f [scwf] minor refactory d02547f [scwf] fix HiveCompatibilitySuite test failure 8dfbf7a [scwf] more tests for complex data type ddab984 [Fei Wang] Merge pull request #19 from yhuai/pr3431yin 91ad91b [Yin Huai] Parse data types in DDLParser. cf982d2 [scwf] fixed test failure 445b57b [scwf] address comments 02a662c [scwf] style issue 44eb70c [scwf] fix decimal parser issue 83b6fc3 [scwf] minor fix 9bf12f8 [wangfei] adding test case 7787ec7 [wangfei] added SchemaRelationProvider 0ba70df [wangfei] draft version
* [SPARK-4943][SQL] Allow table name having dot for db/catalogAlex Liu2015-01-1017-113/+143
| | | | | | | | | | | | | The pull only fixes the parsing error and changes API to use tableIdentifier. Joining different catalog datasource related change is not done in this pull. Author: Alex Liu <alex_liu68@yahoo.com> Closes #3941 from alexliu68/SPARK-SQL-4943-3 and squashes the following commits: 343ae27 [Alex Liu] [SPARK-4943][SQL] refactoring according to review 29e5e55 [Alex Liu] [SPARK-4943][SQL] fix failed Hive CTAS tests 6ae77ce [Alex Liu] [SPARK-4943][SQL] fix TestHive matching error 3652997 [Alex Liu] [SPARK-4943][SQL] Allow table name having dot to support db/catalog ...
* [SPARK-4925][SQL] Publish Spark SQL hive-thriftserver maven artifactAlex Liu2015-01-101-7/+0
| | | | | | | | | Author: Alex Liu <alex_liu68@yahoo.com> Closes #3766 from alexliu68/SPARK-SQL-4925 and squashes the following commits: 3137b51 [Alex Liu] [SPARK-4925][SQL] Remove sql/hive-thriftserver module from pom.xml 15f2e38 [Alex Liu] [SPARK-4925][SQL] Publish Spark SQL hive-thriftserver maven artifact
* [SPARK-5141][SQL]CaseInsensitiveMap throws java.io.NotSerializableExceptionluogankun2015-01-091-1/+2
| | | | | | | | | | CaseInsensitiveMap throws java.io.NotSerializableException. Author: luogankun <luogankun@gmail.com> Closes #3944 from luogankun/SPARK-5141 and squashes the following commits: b6d63d5 [luogankun] [SPARK-5141]CaseInsensitiveMap throws java.io.NotSerializableException
* [SPARK-4406] [MLib] FIX: Validate k in SVDMechCoder2015-01-094-1/+19
| | | | | | | | | | | Raise exception when k is non-positive in SVD Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #3945 from MechCoder/spark-4406 and squashes the following commits: 64e6d2d [MechCoder] TST: Add better test errors and messages 12dae73 [MechCoder] [SPARK-4406] FIX: Validate k in SVD
* [SPARK-4990][Deploy]to find default properties file, search SPARK_CONF_DIR firstWangTaoTheTonic2015-01-092-2/+9
| | | | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-4990 Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #3823 from WangTaoTheTonic/SPARK-4990 and squashes the following commits: 133c43e [WangTao] Update spark-submit2.cmd b1ab402 [WangTao] Update spark-submit 4cc7f34 [WangTaoTheTonic] rebase 55300bc [WangTaoTheTonic] use export to make it global d8d3cb7 [WangTaoTheTonic] remove blank line 07b9ebf [WangTaoTheTonic] check SPARK_CONF_DIR instead of checking properties file c5a85eb [WangTaoTheTonic] to find default properties file, search SPARK_CONF_DIR first
* [Minor] Fix import order and other coding stylebilna2015-01-091-6/+11
| | | | | | | | | | | | | | | | | | | | | | | | | | | fixed import order and other coding style Author: bilna <bilnap@am.amrita.edu> Author: Bilna P <bilna.p@gmail.com> Closes #3966 from Bilna/master and squashes the following commits: 5e76f04 [bilna] fix import order and other coding style 5718d66 [bilna] Merge remote-tracking branch 'upstream/master' ae56514 [bilna] Merge remote-tracking branch 'upstream/master' acea3a3 [bilna] Adding dependency with scope test 28681fa [bilna] Merge remote-tracking branch 'upstream/master' fac3904 [bilna] Correction in Indentation and coding style ed9db4c [bilna] Merge remote-tracking branch 'upstream/master' 4b34ee7 [Bilna P] Update MQTTStreamSuite.scala 04503cf [bilna] Added embedded broker service for mqtt test 89d804e [bilna] Merge remote-tracking branch 'upstream/master' fc8eb28 [bilna] Merge remote-tracking branch 'upstream/master' 4b58094 [Bilna P] Update MQTTStreamSuite.scala b1ac4ad [bilna] Added BeforeAndAfter 5f6bfd2 [bilna] Added BeforeAndAfter e8b6623 [Bilna P] Update MQTTStreamSuite.scala 5ca6691 [Bilna P] Update MQTTStreamSuite.scala 8616495 [bilna] [SPARK-4631] unit test for MQTT
* [DOC] Fixed Mesos version in doc from 0.18.1 to 0.21.0Kousuke Saruta2015-01-091-1/+1
| | | | | | | | | | | | #3934 upgraded Mesos version so we should also fix docs right? This issue is really minor so I don't file in JIRA. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3982 from sarutak/fix-mesos-version and squashes the following commits: 9a86ee3 [Kousuke Saruta] Fixed mesos version from 0.18.1 to 0.21.0
* [SPARK-4737] Task set manager properly handles serialization errorsmcheah2015-01-099-42/+182
| | | | | | | | | | | | | | | | | | | | | Dealing with [SPARK-4737], the handling of serialization errors should not be the DAGScheduler's responsibility. The task set manager now catches the error and aborts the stage. If the TaskSetManager throws a TaskNotSerializableException, the TaskSchedulerImpl will return an empty list of task descriptions, because no tasks were started. The scheduler should abort the stage gracefully. Note that I'm not too familiar with this part of the codebase and its place in the overall architecture of the Spark stack. If implementing it this way will have any averse side effects please voice that loudly. Author: mcheah <mcheah@palantir.com> Closes #3638 from mccheah/task-set-manager-properly-handle-ser-err and squashes the following commits: 1545984 [mcheah] Some more style fixes from Andrew Or. 5267929 [mcheah] Fixing style suggestions from Andrew Or. dfa145b [mcheah] Fixing style from Josh Rosen's feedback b2a430d [mcheah] Not returning empty seq when a task set cannot be serialized. 94844d7 [mcheah] Fixing compilation error, one brace too many 5f486f4 [mcheah] Adding license header for fake task class bf5e706 [mcheah] Fixing indentation. 097e7a2 [mcheah] [SPARK-4737] Catching task serialization exception in TaskSetManager
* [SPARK-1953][YARN]yarn client mode Application Master memory size is same as ↵WangTaoTheTonic2015-01-095-15/+48
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | driver memory... ... size Ways to set Application Master's memory on yarn-client mode: 1. `spark.yarn.am.memory` in SparkConf or System Properties 2. default value 512m Note: this arguments is only available in yarn-client mode. Author: WangTaoTheTonic <barneystinson@aliyun.com> Closes #3607 from WangTaoTheTonic/SPARK4181 and squashes the following commits: d5ceb1b [WangTaoTheTonic] spark.driver.memeory is used in both modes 6c1b264 [WangTaoTheTonic] rebase b8410c0 [WangTaoTheTonic] minor optiminzation ddcd592 [WangTaoTheTonic] fix the bug produced in rebase and some improvements 3bf70cc [WangTaoTheTonic] rebase and give proper hint 987b99d [WangTaoTheTonic] disable --driver-memory in client mode 2b27928 [WangTaoTheTonic] inaccurate description b7acbb2 [WangTaoTheTonic] incorrect method invoked 2557c5e [WangTaoTheTonic] missing a single blank 42075b0 [WangTaoTheTonic] arrange the args and warn logging 69c7dba [WangTaoTheTonic] rebase 1960d16 [WangTaoTheTonic] fix wrong comment 7fa9e2e [WangTaoTheTonic] log a warning f6bee0e [WangTaoTheTonic] docs issue d619996 [WangTaoTheTonic] Merge branch 'master' into SPARK4181 b09c309 [WangTaoTheTonic] use code format ab16bb5 [WangTaoTheTonic] fix bug and add comments 44e48c2 [WangTaoTheTonic] minor fix 6fd13e1 [WangTaoTheTonic] add overhead mem and remove some configs 0566bb8 [WangTaoTheTonic] yarn client mode Application Master memory size is same as driver memory size
* [SPARK-5015] [mllib] Random seed for GMM + make test suite deterministicJoseph K. Bradley2015-01-092-13/+27
| | | | | | | | | | | | | | | | | | Issues: * From JIRA: GaussianMixtureEM uses randomness but does not take a random seed. It should take one as a parameter. * This also makes the test suite flaky since initialization can fail due to stochasticity. Fix: * Add random seed * Use it in test suite CC: mengxr tgaloppo Author: Joseph K. Bradley <joseph@databricks.com> Closes #3981 from jkbradley/gmm-seed and squashes the following commits: f0df4fd [Joseph K. Bradley] Added seed parameter to GMM. Updated test suite to use seed to prevent flakiness
* [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688Jongyoul Lee2015-01-091-1/+1
| | | | | | | | | | | - update version from 0.18.1 to 0.21.0 - I'm doing some tests in order to verify some spark jobs work fine on mesos 0.21.0 environment. Author: Jongyoul Lee <jongyoul@gmail.com> Closes #3934 from jongyoul/SPARK-3619 and squashes the following commits: ab994fa [Jongyoul Lee] [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688 - update version from 0.18.1 to 0.21.0
* [SPARK-5145][Mllib] Add BLAS.dsyr and use it in GaussianMixtureEMLiang-Chi Hsieh2015-01-093-4/+73
| | | | | | | | | | | This pr uses BLAS.dsyr to replace few implementations in GaussianMixtureEM. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #3949 from viirya/blas_dsyr and squashes the following commits: 4e4d6cf [Liang-Chi Hsieh] Add unit test. Rename function name, modify doc and style. 3f57fd2 [Liang-Chi Hsieh] Add BLAS.dsyr and use it in GaussianMixtureEM.
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