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* [SPARK-3029] Disable local execution of Spark jobs by defaultAaron Davidson2014-08-141-0/+9
| | | | | | | | | | | | | | | Currently, local execution of Spark jobs is only used by take(), and it can be problematic as it can load a significant amount of data onto the driver. The worst case scenarios occur if the RDD is cached (guaranteed to load whole partition), has very large elements, or the partition is just large and we apply a filter with high selectivity or computational overhead. Additionally, jobs that run locally in this manner do not show up in the web UI, and are thus harder to track or understand what is occurring. This PR adds a flag to disable local execution, which is turned OFF by default, with the intention of perhaps eventually removing this functionality altogether. Removing it now is a tougher proposition since it is part of the public runJob API. An alternative solution would be to limit the flag to take()/first() to avoid impacting any external users of this API, but such usage (or, at least, reliance upon the feature) is hopefully minimal. Author: Aaron Davidson <aaron@databricks.com> Closes #1321 from aarondav/allowlocal and squashes the following commits: 136b253 [Aaron Davidson] Fix DAGSchedulerSuite 5599d55 [Aaron Davidson] [RFC] Disable local execution of Spark jobs by default
* [Docs] Add missing <code> tags (minor)Andrew Or2014-08-131-2/+2
| | | | | | | | | | These configs looked inconsistent from the rest. Author: Andrew Or <andrewor14@gmail.com> Closes #1936 from andrewor14/docs-code and squashes the following commits: 15f578a [Andrew Or] Add <code> tag
* [SPARK-2963] [SQL] There no documentation about building to use HiveServer ↵Kousuke Saruta2014-08-131-0/+9
| | | | | | | | | | | | | and CLI for SparkSQL Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #1885 from sarutak/SPARK-2963 and squashes the following commits: ed53329 [Kousuke Saruta] Modified description and notaton of proper noun 07c59fc [Kousuke Saruta] Added a description about how to build to use HiveServer and CLI for SparkSQL to building-with-maven.md 6e6645a [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2963 c88fa93 [Kousuke Saruta] Added a description about building to use HiveServer and CLI for SparkSQL
* [SPARK-2953] Allow using short names for io compression codecsReynold Xin2014-08-121-3/+5
| | | | | | | | | | | | Instead of requiring "org.apache.spark.io.LZ4CompressionCodec", it is easier for users if Spark just accepts "lz4", "lzf", "snappy". Author: Reynold Xin <rxin@apache.org> Closes #1873 from rxin/compressionCodecShortForm and squashes the following commits: 9f50962 [Reynold Xin] Specify short-form compression codec names first. 63f78ee [Reynold Xin] Updated configuration documentation. 47b3848 [Reynold Xin] [SPARK-2953] Allow using short names for io compression codecs
* SPARK-2830 [MLlib]: re-organize mllib documentationAmeet Talwalkar2014-08-1210-220/+317
| | | | | | | | | | | | As per discussions with Xiangrui, I've reorganized and edited the mllib documentation. Author: Ameet Talwalkar <atalwalkar@gmail.com> Closes #1908 from atalwalkar/master and squashes the following commits: fe6938a [Ameet Talwalkar] made xiangruis suggested changes 840028b [Ameet Talwalkar] made xiangruis suggested changes 7ec366a [Ameet Talwalkar] reorganize and edit mllib documentation
* [SPARK-2635] Fix race condition at SchedulerBackend.isReady in standalone modeli-zhihui2014-08-081-6/+7
| | | | | | | | | | | | | | | | | In SPARK-1946(PR #900), configuration <code>spark.scheduler.minRegisteredExecutorsRatio</code> was introduced. However, in standalone mode, there is a race condition where isReady() can return true because totalExpectedExecutors has not been correctly set. Because expected executors is uncertain in standalone mode, the PR try to use CPU cores(<code>--total-executor-cores</code>) as expected resources to judge whether SchedulerBackend is ready. Author: li-zhihui <zhihui.li@intel.com> Author: Li Zhihui <zhihui.li@intel.com> Closes #1525 from li-zhihui/fixre4s and squashes the following commits: e9a630b [Li Zhihui] Rename variable totalExecutors and clean codes abf4860 [Li Zhihui] Push down variable totalExpectedResources to children classes ca54bd9 [li-zhihui] Format log with String interpolation 88c7dc6 [li-zhihui] Few codes and docs refactor 41cf47e [li-zhihui] Fix race condition at SchedulerBackend.isReady in standalone mode
* SPARK-2787: Make sort-based shuffle write files directly when there's no ↵Matei Zaharia2014-08-071-0/+18
| | | | | | | | | | | | | | | | | | | | sorting/aggregation and # partitions is small As described in https://issues.apache.org/jira/browse/SPARK-2787, right now sort-based shuffle is more expensive than hash-based for map operations that do no partial aggregation or sorting, such as groupByKey. This is because it has to serialize each data item twice (once when spilling to intermediate files, and then again when merging these files object-by-object). This patch adds a code path to just write separate files directly if the # of output partitions is small, and concatenate them at the end to produce a sorted file. On the unit test side, I added some tests that force or don't force this bypass path to be used, and checked that our tests for other features (e.g. all the operations) cover both cases. Author: Matei Zaharia <matei@databricks.com> Closes #1799 from mateiz/SPARK-2787 and squashes the following commits: 88cf26a [Matei Zaharia] Fix rebase 10233af [Matei Zaharia] Review comments 398cb95 [Matei Zaharia] Fix looking up shuffle manager in conf ca3efd9 [Matei Zaharia] Add docs for shuffle manager properties, and allow short names for them d0ae3c5 [Matei Zaharia] Fix some comments 90d084f [Matei Zaharia] Add code path to bypass merge-sort in ExternalSorter, and tests 31e5d7c [Matei Zaharia] Move existing logic for writing partitioned files into ExternalSorter
* [SPARK-2157] Enable tight firewall rules for SparkAndrew Or2014-08-063-90/+179
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The goal of this PR is to allow users of Spark to write tight firewall rules for their clusters. This is currently not possible because Spark uses random ports in many places, notably the communication between executors and drivers. The changes in this PR are based on top of ash211's changes in #1107. The list covered here may or may not be the complete set of port needed for Spark to operate perfectly. However, as of the latest commit there are no known sources of random ports (except in tests). I have not documented a few of the more obscure configs. My spark-env.sh looks like this: ``` export SPARK_MASTER_PORT=6060 export SPARK_WORKER_PORT=7070 export SPARK_MASTER_WEBUI_PORT=9090 export SPARK_WORKER_WEBUI_PORT=9091 ``` and my spark-defaults.conf looks like this: ``` spark.master spark://andrews-mbp:6060 spark.driver.port 5001 spark.fileserver.port 5011 spark.broadcast.port 5021 spark.replClassServer.port 5031 spark.blockManager.port 5041 spark.executor.port 5051 ``` Author: Andrew Or <andrewor14@gmail.com> Author: Andrew Ash <andrew@andrewash.com> Closes #1777 from andrewor14/configure-ports and squashes the following commits: 621267b [Andrew Or] Merge branch 'master' of github.com:apache/spark into configure-ports 8a6b820 [Andrew Or] Use a random UI port during tests 7da0493 [Andrew Or] Fix tests 523c30e [Andrew Or] Add test for isBindCollision b97b02a [Andrew Or] Minor fixes c22ad00 [Andrew Or] Merge branch 'master' of github.com:apache/spark into configure-ports 93d359f [Andrew Or] Executors connect to wrong port when collision occurs d502e5f [Andrew Or] Handle port collisions when creating Akka systems a2dd05c [Andrew Or] Patrick's comment nit 86461e2 [Andrew Or] Remove spark.executor.env.port and spark.standalone.client.port 1d2d5c6 [Andrew Or] Fix ports for standalone cluster mode cb3be88 [Andrew Or] Various doc fixes (broken link, format etc.) e837cde [Andrew Or] Remove outdated TODOs bfbab28 [Andrew Or] Merge branch 'master' of github.com:apache/spark into configure-ports de1b207 [Andrew Or] Update docs to reflect new ports b565079 [Andrew Or] Add spark.ports.maxRetries 2551eb2 [Andrew Or] Remove spark.worker.watcher.port 151327a [Andrew Or] Merge branch 'master' of github.com:apache/spark into configure-ports 9868358 [Andrew Or] Add a few miscellaneous ports 6016e77 [Andrew Or] Add spark.executor.port 8d836e6 [Andrew Or] Also document SPARK_{MASTER/WORKER}_WEBUI_PORT 4d9e6f3 [Andrew Or] Fix super subtle bug 3f8e51b [Andrew Or] Correct erroneous docs... e111d08 [Andrew Or] Add names for UI services 470f38c [Andrew Or] Special case non-"Address already in use" exceptions 1d7e408 [Andrew Or] Treat 0 ports specially + return correct ConnectionManager port ba32280 [Andrew Or] Minor fixes 6b550b0 [Andrew Or] Assorted fixes 73fbe89 [Andrew Or] Move start service logic to Utils ec676f4 [Andrew Or] Merge branch 'SPARK-2157' of github.com:ash211/spark into configure-ports 038a579 [Andrew Ash] Trust the server start function to report the port the service started on 7c5bdc4 [Andrew Ash] Fix style issue 0347aef [Andrew Ash] Unify port fallback logic to a single place 24a4c32 [Andrew Ash] Remove type on val to match surrounding style 9e4ad96 [Andrew Ash] Reformat for style checker 5d84e0e [Andrew Ash] Document new port configuration options 066dc7a [Andrew Ash] Fix up HttpServer port increments cad16da [Andrew Ash] Add fallover increment logic for HttpServer c5a0568 [Andrew Ash] Fix ConnectionManager to retry with increment b80d2fd [Andrew Ash] Make Spark's block manager port configurable 17c79bb [Andrew Ash] Add a configuration option for spark-shell's class server f34115d [Andrew Ash] SPARK-1176 Add port configuration for HttpBroadcast 49ee29b [Andrew Ash] SPARK-1174 Add port configuration for HttpFileServer 1c0981a [Andrew Ash] Make port in HttpServer configurable
* [SPARK-2503] Lower shuffle output buffer (spark.shuffle.file.buffer.kb) to 32KB.Reynold Xin2014-08-051-1/+1
| | | | | | | | | | This can substantially reduce memory usage during shuffle. Author: Reynold Xin <rxin@apache.org> Closes #1781 from rxin/SPARK-2503-spark.shuffle.file.buffer.kb and squashes the following commits: 104b8d8 [Reynold Xin] [SPARK-2503] Lower shuffle output buffer (spark.shuffle.file.buffer.kb) to 32KB.
* SPARK-1680: use configs for specifying environment variables on YARNThomas Graves2014-08-052-5/+25
| | | | | | | | | | | | | | Note that this also documents spark.executorEnv.* which to me means its public. If we don't want that please speak up. Author: Thomas Graves <tgraves@apache.org> Closes #1512 from tgravescs/SPARK-1680 and squashes the following commits: 11525df [Thomas Graves] more doc changes 553bad0 [Thomas Graves] fix documentation 152bf7c [Thomas Graves] fix docs 5382326 [Thomas Graves] try fix docs 32f86a4 [Thomas Graves] use configs for specifying environment variables on YARN
* SPARK-2380: Support displaying accumulator values in the web UIPatrick Wendell2014-08-051-2/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch adds support for giving accumulators user-visible names and displaying accumulator values in the web UI. This allows users to create custom counters that can display in the UI. The current approach displays both the accumulator deltas caused by each task and a "current" value of the accumulator totals for each stage, which gets update as tasks finish. Currently in Spark developers have been extending the `TaskMetrics` functionality to provide custom instrumentation for RDD's. This provides a potentially nicer alternative of going through the existing accumulator framework (actually `TaskMetrics` and accumulators are on an awkward collision course as we add more features to the former). The current patch demo's how we can use the feature to provide instrumentation for RDD input sizes. The nice thing about going through accumulators is that users can read the current value of the data being tracked in their programs. This could be useful to e.g. decide to short-circuit a Spark stage depending on how things are going. ![counters](https://cloud.githubusercontent.com/assets/320616/3488815/6ee7bc34-0505-11e4-84ce-e36d9886e2cf.png) Author: Patrick Wendell <pwendell@gmail.com> Closes #1309 from pwendell/metrics and squashes the following commits: 8815308 [Patrick Wendell] Merge remote-tracking branch 'apache/master' into HEAD 93fbe0f [Patrick Wendell] Other minor fixes cc43f68 [Patrick Wendell] Updating unit tests c991b1b [Patrick Wendell] Moving some code into the Accumulators class 9a9ba3c [Patrick Wendell] More merge fixes c5ace9e [Patrick Wendell] More merge conflicts 1da15e3 [Patrick Wendell] Merge remote-tracking branch 'apache/master' into metrics 9860c55 [Patrick Wendell] Potential solution to posting listener events 0bb0e33 [Patrick Wendell] Remove "display" variable and assume display = name.isDefined 0ec4ac7 [Patrick Wendell] Java API's e95bf69 [Patrick Wendell] Stash be97261 [Patrick Wendell] Style fix 8407308 [Patrick Wendell] Removing examples in Hadoop and RDD class 64d405f [Patrick Wendell] Adding missing file 5d8b156 [Patrick Wendell] Changes based on Kay's review. 9f18bad [Patrick Wendell] Minor style changes and tests 7a63abc [Patrick Wendell] Adding Json serialization and responding to Reynold's feedback ad85076 [Patrick Wendell] Example of using named accumulators for custom RDD metrics. 0b72660 [Patrick Wendell] Initial WIP example of supporing globally named accumulators.
* [SPARK-2859] Update url of Kryo project in related docsGuancheng (G.C.) Chen2014-08-051-2/+2
| | | | | | | | | | | | JIRA Issue: https://issues.apache.org/jira/browse/SPARK-2859 Kryo project has been migrated from googlecode to github, hence we need to update its URL in related docs such as tuning.md. Author: Guancheng (G.C.) Chen <chenguancheng@gmail.com> Closes #1782 from gchen/kryo-docs and squashes the following commits: b62543c [Guancheng (G.C.) Chen] update url of Kryo project
* SPARK-1890 and SPARK-1891- add admin and modify aclsThomas Graves2014-08-052-7/+27
| | | | | | | | | | | | | | | | | | | It was easier to combine these 2 jira since they touch many of the same places. This pr adds the following: - adds modify acls - adds admin acls (list of admins/users that get added to both view and modify acls) - modify Kill button on UI to take modify acls into account - changes config name of spark.ui.acls.enable to spark.acls.enable since I choose poorly in original name. We keep backwards compatibility so people can still use spark.ui.acls.enable. The acls should apply to any web ui as well as any CLI interfaces. - send view and modify acls information on to YARN so that YARN interfaces can use (yarn cli for killing applications for example). Author: Thomas Graves <tgraves@apache.org> Closes #1196 from tgravescs/SPARK-1890 and squashes the following commits: 8292eb1 [Thomas Graves] review comments b92ec89 [Thomas Graves] remove unneeded variable from applistener 4c765f4 [Thomas Graves] Add in admin acls 72eb0ac [Thomas Graves] Add modify acls
* SPARK-1528 - spark on yarn, add support for accessing remote HDFSThomas Graves2014-08-051-0/+7
| | | | | | | | | | | Add a config (spark.yarn.access.namenodes) to allow applications running on yarn to access other secure HDFS cluster. User just specifies the namenodes of the other clusters and we get Tokens for those and ship them with the spark application. Author: Thomas Graves <tgraves@apache.org> Closes #1159 from tgravescs/spark-1528 and squashes the following commits: ddbcd16 [Thomas Graves] review comments 0ac8501 [Thomas Graves] SPARK-1528 - add support for accessing remote HDFS
* [SPARK-2856] Decrease initial buffer size for Kryo to 64KB.Reynold Xin2014-08-051-1/+1
| | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1780 from rxin/kryo-init-size and squashes the following commits: 551b935 [Reynold Xin] [SPARK-2856] Decrease initial buffer size for Kryo to 64KB.
* [SPARK-2857] Correct properties to set Master / Worker portsAndrew Or2014-08-051-2/+2
| | | | | | | | | | | `master.ui.port` and `worker.ui.port` were never picked up by SparkConf, simply because they are not prefixed with "spark." Unfortunately, this is also currently the documented way of setting these values. Author: Andrew Or <andrewor14@gmail.com> Closes #1779 from andrewor14/master-worker-port and squashes the following commits: 8475e95 [Andrew Or] Update docs to reflect changes in configs 4db3d5d [Andrew Or] Stop using configs that don't actually work
* SPARK-2792. Fix reading too much or too little data from each stream in ↵Matei Zaharia2014-08-041-1/+1
| | | | | | | | | | | | | | | | | | | | ExternalMap / Sorter All these changes are from mridulm's work in #1609, but extracted here to fix this specific issue and make it easier to merge not 1.1. This particular set of changes is to make sure that we read exactly the right range of bytes from each spill file in EAOM: some serializers can write bytes after the last object (e.g. the TC_RESET flag in Java serialization) and that would confuse the previous code into reading it as part of the next batch. There are also improvements to cleanup to make sure files are closed. In addition to bringing in the changes to ExternalAppendOnlyMap, I also copied them to the corresponding code in ExternalSorter and updated its test suite to test for the same issues. Author: Matei Zaharia <matei@databricks.com> Closes #1722 from mateiz/spark-2792 and squashes the following commits: 5d4bfb5 [Matei Zaharia] Make objectStreamReset counter count the last object written too 18fe865 [Matei Zaharia] Update docs on objectStreamReset 576ee83 [Matei Zaharia] Allow objectStreamReset to be 0 0374217 [Matei Zaharia] Remove super paranoid code to close file handles bda37bb [Matei Zaharia] Implement Mridul's ExternalAppendOnlyMap fixes in ExternalSorter too 0d6dad7 [Matei Zaharia] Added Mridul's test changes for ExternalAppendOnlyMap 9a78e4b [Matei Zaharia] Add @mridulm's fixes to ExternalAppendOnlyMap for batch sizes
* [SPARK-2784][SQL] Deprecate hql() method in favor of a config option, ↵Michael Armbrust2014-08-031-9/+9
| | | | | | | | | | | | | | | | | | | | 'spark.sql.dialect' Many users have reported being confused by the distinction between the `sql` and `hql` methods. Specifically, many users think that `sql(...)` cannot be used to read hive tables. In this PR I introduce a new configuration option `spark.sql.dialect` that picks which dialect with be used for parsing. For SQLContext this must be set to `sql`. In `HiveContext` it defaults to `hiveql` but can also be set to `sql`. The `hql` and `hiveql` methods continue to act the same but are now marked as deprecated. **This is a possibly breaking change for some users unless they set the dialect manually, though this is unlikely.** For example: `hiveContex.sql("SELECT 1")` will now throw a parsing exception by default. Author: Michael Armbrust <michael@databricks.com> Closes #1746 from marmbrus/sqlLanguageConf and squashes the following commits: ad375cc [Michael Armbrust] Merge remote-tracking branch 'apache/master' into sqlLanguageConf 20c43f8 [Michael Armbrust] override function instead of just setting the value 7e4ae93 [Michael Armbrust] Deprecate hql() method in favor of a config option, 'spark.sql.dialect'
* SPARK-2712 - Add a small note to maven doc that mvn package must happen ...Stephen Boesch2014-08-031-1/+6
| | | | | | | | | | | Per request by Reynold adding small note about proper sequencing of build then test. Author: Stephen Boesch <javadba@gmail.com> Closes #1615 from javadba/docs and squashes the following commits: 6c3183e [Stephen Boesch] Moved updated testing blurb per PWendell 5764757 [Stephen Boesch] SPARK-2712 - Add a small note to maven doc that mvn package must happen before test
* [SPARK-2739][SQL] Rename registerAsTable to registerTempTableMichael Armbrust2014-08-021-9/+9
| | | | | | | | | | | | | There have been user complaints that the difference between `registerAsTable` and `saveAsTable` is too subtle. This PR addresses this by renaming `registerAsTable` to `registerTempTable`, which more clearly reflects what is happening. `registerAsTable` remains, but will cause a deprecation warning. Author: Michael Armbrust <michael@databricks.com> Closes #1743 from marmbrus/registerTempTable and squashes the following commits: d031348 [Michael Armbrust] Merge remote-tracking branch 'apache/master' into registerTempTable 4dff086 [Michael Armbrust] Fix .java files too 89a2f12 [Michael Armbrust] Merge remote-tracking branch 'apache/master' into registerTempTable 0b7b71e [Michael Armbrust] Rename registerAsTable to registerTempTable
* [SPARK-1981] Add AWS Kinesis streaming supportChris Fregly2014-08-023-6/+68
| | | | | | | | | | | | | | | | | | | | | | | | | Author: Chris Fregly <chris@fregly.com> Closes #1434 from cfregly/master and squashes the following commits: 4774581 [Chris Fregly] updated docs, renamed retry to retryRandom to be more clear, removed retries around store() method 0393795 [Chris Fregly] moved Kinesis examples out of examples/ and back into extras/kinesis-asl 691a6be [Chris Fregly] fixed tests and formatting, fixed a bug with JavaKinesisWordCount during union of streams 0e1c67b [Chris Fregly] Merge remote-tracking branch 'upstream/master' 74e5c7c [Chris Fregly] updated per TD's feedback. simplified examples, updated docs e33cbeb [Chris Fregly] Merge remote-tracking branch 'upstream/master' bf614e9 [Chris Fregly] per matei's feedback: moved the kinesis examples into the examples/ dir d17ca6d [Chris Fregly] per TD's feedback: updated docs, simplified the KinesisUtils api 912640c [Chris Fregly] changed the foundKinesis class to be a publically-avail class db3eefd [Chris Fregly] Merge remote-tracking branch 'upstream/master' 21de67f [Chris Fregly] Merge remote-tracking branch 'upstream/master' 6c39561 [Chris Fregly] parameterized the versions of the aws java sdk and kinesis client 338997e [Chris Fregly] improve build docs for kinesis 828f8ae [Chris Fregly] more cleanup e7c8978 [Chris Fregly] Merge remote-tracking branch 'upstream/master' cd68c0d [Chris Fregly] fixed typos and backward compatibility d18e680 [Chris Fregly] Merge remote-tracking branch 'upstream/master' b3b0ff1 [Chris Fregly] [SPARK-1981] Add AWS Kinesis streaming support
* [SQL] Documentation: Explain cacheTable commandCrazyJvm2014-08-011-0/+10
| | | | | | | | | | | | | add the `cacheTable` specification Author: CrazyJvm <crazyjvm@gmail.com> Closes #1681 from CrazyJvm/sql-programming-guide-cache and squashes the following commits: 0a231e0 [CrazyJvm] grammar fixes a04020e [CrazyJvm] modify title to Cached tables 18b6594 [CrazyJvm] fix format 2cbbf58 [CrazyJvm] add cacheTable guide
* SPARK-2099. Report progress while task is running.Sandy Ryza2014-08-011-0/+7
| | | | | | | | | | | | | | | | | | This is a sketch of a patch that allows the UI to show metrics for tasks that have not yet completed. It adds a heartbeat every 2 seconds from the executors to the driver, reporting metrics for all of the executor's tasks. It still needs unit tests, polish, and cluster testing, but I wanted to put it up to get feedback on the approach. Author: Sandy Ryza <sandy@cloudera.com> Closes #1056 from sryza/sandy-spark-2099 and squashes the following commits: 93b9fdb [Sandy Ryza] Up heartbeat interval to 10 seconds and other tidying 132aec7 [Sandy Ryza] Heartbeat and HeartbeatResponse are already Serializable as case classes 38dffde [Sandy Ryza] Additional review feedback and restore test that was removed in BlockManagerSuite 51fa396 [Sandy Ryza] Remove hostname race, add better comments about threading, and some stylistic improvements 3084f10 [Sandy Ryza] Make TaskUIData a case class again 3bda974 [Sandy Ryza] Stylistic fixes 0dae734 [Sandy Ryza] SPARK-2099. Report progress while task is running.
* Docs: monitoring, streaming programming guidekballou2014-07-312-4/+4
| | | | | | | | | | | | | | | Fix several awkward wordings and grammatical issues in the following documents: * docs/monitoring.md * docs/streaming-programming-guide.md Author: kballou <kballou@devnulllabs.io> Closes #1662 from kennyballou/grammar_fixes and squashes the following commits: e1b8ad6 [kballou] Docs: monitoring, streaming programming guide
* [SPARK-2397][SQL] Deprecate LocalHiveContextMichael Armbrust2014-07-311-3/+3
| | | | | | | | | | | | | LocalHiveContext is redundant with HiveContext. The only difference is it creates `./metastore` instead of `./metastore_db`. Author: Michael Armbrust <michael@databricks.com> Closes #1641 from marmbrus/localHiveContext and squashes the following commits: e5ec497 [Michael Armbrust] Add deprecation version 626e056 [Michael Armbrust] Don't remove from imports yet 905cc5f [Michael Armbrust] Merge remote-tracking branch 'apache/master' into localHiveContext 1c2727e [Michael Armbrust] Deprecate LocalHiveContext
* automatically set master according to `spark.master` in `spark-defaults....CrazyJvm2014-07-301-3/+0
| | | | | | | | | | automatically set master according to `spark.master` in `spark-defaults.conf` Author: CrazyJvm <crazyjvm@gmail.com> Closes #1644 from CrazyJvm/standalone-guide and squashes the following commits: bb12b95 [CrazyJvm] automatically set master according to `spark.master` in `spark-defaults.conf`
* [SPARK-2024] Add saveAsSequenceFile to PySparkKan Zhang2014-07-301-29/+23
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue: https://issues.apache.org/jira/browse/SPARK-2024 This PR is a followup to #455 and adds capabilities for saving PySpark RDDs using SequenceFile or any Hadoop OutputFormats. * Added RDD methods ```saveAsSequenceFile```, ```saveAsHadoopFile``` and ```saveAsHadoopDataset```, for both old and new MapReduce APIs. * Default converter for converting common data types to Writables. Users may specify custom converters to convert to desired data types. * No out-of-box support for reading/writing arrays, since ArrayWritable itself doesn't have a no-arg constructor for creating an empty instance upon reading. Users need to provide ArrayWritable subtypes. Custom converters for converting arrays to suitable ArrayWritable subtypes are also needed when writing. When reading, the default converter will convert any custom ArrayWritable subtypes to ```Object[]``` and they get pickled to Python tuples. * Added HBase and Cassandra output examples to show how custom output formats and converters can be used. cc MLnick mateiz ahirreddy pwendell Author: Kan Zhang <kzhang@apache.org> Closes #1338 from kanzhang/SPARK-2024 and squashes the following commits: c01e3ef [Kan Zhang] [SPARK-2024] code formatting 6591e37 [Kan Zhang] [SPARK-2024] renaming pickled -> pickledRDD d998ad6 [Kan Zhang] [SPARK-2024] refectoring to get method params below 10 57a7a5e [Kan Zhang] [SPARK-2024] correcting typo 75ca5bd [Kan Zhang] [SPARK-2024] Better type checking for batch serialized RDD 0bdec55 [Kan Zhang] [SPARK-2024] Refactoring newly added tests 9f39ff4 [Kan Zhang] [SPARK-2024] Adding 2 saveAsHadoopDataset tests 0c134f3 [Kan Zhang] [SPARK-2024] Test refactoring and adding couple unbatched cases 7a176df [Kan Zhang] [SPARK-2024] Add saveAsSequenceFile to PySpark
* SPARK-2543: Allow user to set maximum Kryo buffer sizeKoert Kuipers2014-07-301-4/+12
| | | | | | | | | | | | Author: Koert Kuipers <koert@tresata.com> Closes #735 from koertkuipers/feat-kryo-max-buffersize and squashes the following commits: 15f6d81 [Koert Kuipers] change default for spark.kryoserializer.buffer.max.mb to 64mb and add some documentation 1bcc22c [Koert Kuipers] Merge branch 'master' into feat-kryo-max-buffersize 0c9f8eb [Koert Kuipers] make default for kryo max buffer size 16MB 143ec4d [Koert Kuipers] test resizable buffer in kryo Output 0732445 [Koert Kuipers] support setting maxCapacity to something different than capacity in kryo Output
* [SPARK-2410][SQL] Merging Hive Thrift/JDBC server (with Maven profile fix)Cheng Lian2014-07-281-3/+198
| | | | | | | | | | | | | | | JIRA issue: [SPARK-2410](https://issues.apache.org/jira/browse/SPARK-2410) Another try for #1399 & #1600. Those two PR breaks Jenkins builds because we made a separate profile `hive-thriftserver` in sub-project `assembly`, but the `hive-thriftserver` module is defined outside the `hive-thriftserver` profile. Thus every time a pull request that doesn't touch SQL code will also execute test suites defined in `hive-thriftserver`, but tests fail because related .class files are not included in the assembly jar. In the most recent commit, module `hive-thriftserver` is moved into its own profile to fix this problem. All previous commits are squashed for clarity. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1620 from liancheng/jdbc-with-maven-fix and squashes the following commits: 629988e [Cheng Lian] Moved hive-thriftserver module definition into its own profile ec3c7a7 [Cheng Lian] Cherry picked the Hive Thrift server
* Revert "[SPARK-2410][SQL] Merging Hive Thrift/JDBC server"Patrick Wendell2014-07-271-198/+3
| | | | This reverts commit f6ff2a61d00d12481bfb211ae13d6992daacdcc2.
* [SPARK-1777] Prevent OOMs from single partitionsAndrew Or2014-07-271-0/+9
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | **Problem.** When caching, we currently unroll the entire RDD partition before making sure we have enough free memory. This is a common cause for OOMs especially when (1) the BlockManager has little free space left in memory, and (2) the partition is large. **Solution.** We maintain a global memory pool of `M` bytes shared across all threads, similar to the way we currently manage memory for shuffle aggregation. Then, while we unroll each partition, periodically check if there is enough space to continue. If not, drop enough RDD blocks to ensure we have at least `M` bytes to work with, then try again. If we still don't have enough space to unroll the partition, give up and drop the block to disk directly if applicable. **New configurations.** - `spark.storage.bufferFraction` - the value of `M` as a fraction of the storage memory. (default: 0.2) - `spark.storage.safetyFraction` - a margin of safety in case size estimation is slightly off. This is the equivalent of the existing `spark.shuffle.safetyFraction`. (default 0.9) For more detail, see the [design document](https://issues.apache.org/jira/secure/attachment/12651793/spark-1777-design-doc.pdf). Tests pending for performance and memory usage patterns. Author: Andrew Or <andrewor14@gmail.com> Closes #1165 from andrewor14/them-rdd-memories and squashes the following commits: e77f451 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories c7c8832 [Andrew Or] Simplify logic + update a few comments 269d07b [Andrew Or] Very minor changes to tests 6645a8a [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories b7e165c [Andrew Or] Add new tests for unrolling blocks f12916d [Andrew Or] Slightly clean up tests 71672a7 [Andrew Or] Update unrollSafely tests 369ad07 [Andrew Or] Correct ensureFreeSpace and requestMemory behavior f4d035c [Andrew Or] Allow one thread to unroll multiple blocks a66fbd2 [Andrew Or] Rename a few things + update comments 68730b3 [Andrew Or] Fix weird scalatest behavior e40c60d [Andrew Or] Fix MIMA excludes ff77aa1 [Andrew Or] Fix tests 1a43c06 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories b9a6eee [Andrew Or] Simplify locking behavior on unrollMemoryMap ed6cda4 [Andrew Or] Formatting fix (super minor) f9ff82e [Andrew Or] putValues -> putIterator + putArray beb368f [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 8448c9b [Andrew Or] Fix tests a49ba4d [Andrew Or] Do not expose unroll memory check period 69bc0a5 [Andrew Or] Always synchronize on putLock before unrollMemoryMap 3f5a083 [Andrew Or] Simplify signature of ensureFreeSpace dce55c8 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 8288228 [Andrew Or] Synchronize put and unroll properly 4f18a3d [Andrew Or] bufferFraction -> unrollFraction 28edfa3 [Andrew Or] Update a few comments / log messages 728323b [Andrew Or] Do not synchronize every 1000 elements 5ab2329 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 129c441 [Andrew Or] Fix bug: Use toArray rather than array 9a65245 [Andrew Or] Update a few comments + minor control flow changes 57f8d85 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories abeae4f [Andrew Or] Add comment clarifying the MEMORY_AND_DISK case 3dd96aa [Andrew Or] AppendOnlyBuffer -> Vector (+ a few small changes) f920531 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 0871835 [Andrew Or] Add an effective storage level interface to BlockManager 64e7d4c [Andrew Or] Add/modify a few comments (minor) 8af2f35 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 4f4834e [Andrew Or] Use original storage level for blocks dropped to disk ecc8c2d [Andrew Or] Fix binary incompatibility 24185ea [Andrew Or] Avoid dropping a block back to disk if reading from disk 2b7ee66 [Andrew Or] Fix bug in SizeTracking* 9b9a273 [Andrew Or] Fix tests 20eb3e5 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 649bdb3 [Andrew Or] Document spark.storage.bufferFraction a10b0e7 [Andrew Or] Add initial memory request threshold + rename a few things e9c3cb0 [Andrew Or] cacheMemoryMap -> unrollMemoryMap 198e374 [Andrew Or] Unfold -> unroll 0d50155 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories d9d02a8 [Andrew Or] Remove unused param in unfoldSafely ec728d8 [Andrew Or] Add tests for safe unfolding of blocks 22b2209 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 078eb83 [Andrew Or] Add check for hasNext in PrimitiveVector.iterator 0871535 [Andrew Or] Fix tests in BlockManagerSuite d68f31e [Andrew Or] Safely unfold blocks for all memory puts 5961f50 [Andrew Or] Fix tests 195abd7 [Andrew Or] Refactor: move unfold logic to MemoryStore 1e82d00 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 3ce413e [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories d5dd3b4 [Andrew Or] Free buffer memory in finally ea02eec [Andrew Or] Fix tests b8e1d9c [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories a8704c1 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories e1b8b25 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories 87aa75c [Andrew Or] Fix mima excludes again (typo) 11eb921 [Andrew Or] Clarify comment (minor) 50cae44 [Andrew Or] Remove now duplicate mima exclude 7de5ef9 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories df47265 [Andrew Or] Fix binary incompatibility 6d05a81 [Andrew Or] Merge branch 'master' of github.com:apache/spark into them-rdd-memories f94f5af [Andrew Or] Update a few comments (minor) 776aec9 [Andrew Or] Prevent OOM if a single RDD partition is too large bbd3eea [Andrew Or] Fix CacheManagerSuite to use Array 97ea499 [Andrew Or] Change BlockManager interface to use Arrays c12f093 [Andrew Or] Add SizeTrackingAppendOnlyBuffer and tests
* [SPARK-2410][SQL] Merging Hive Thrift/JDBC serverCheng Lian2014-07-271-3/+198
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | (This is a replacement of #1399, trying to fix potential `HiveThriftServer2` port collision between parallel builds. Please refer to [these comments](https://github.com/apache/spark/pull/1399#issuecomment-50212572) for details.) JIRA issue: [SPARK-2410](https://issues.apache.org/jira/browse/SPARK-2410) Merging the Hive Thrift/JDBC server from [branch-1.0-jdbc](https://github.com/apache/spark/tree/branch-1.0-jdbc). Thanks chenghao-intel for his initial contribution of the Spark SQL CLI. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1600 from liancheng/jdbc and squashes the following commits: ac4618b [Cheng Lian] Uses random port for HiveThriftServer2 to avoid collision with parallel builds 090beea [Cheng Lian] Revert changes related to SPARK-2678, decided to move them to another PR 21c6cf4 [Cheng Lian] Updated Spark SQL programming guide docs fe0af31 [Cheng Lian] Reordered spark-submit options in spark-shell[.cmd] 199e3fb [Cheng Lian] Disabled MIMA for hive-thriftserver 1083e9d [Cheng Lian] Fixed failed test suites 7db82a1 [Cheng Lian] Fixed spark-submit application options handling logic 9cc0f06 [Cheng Lian] Starts beeline with spark-submit cfcf461 [Cheng Lian] Updated documents and build scripts for the newly added hive-thriftserver profile 061880f [Cheng Lian] Addressed all comments by @pwendell 7755062 [Cheng Lian] Adapts test suites to spark-submit settings 40bafef [Cheng Lian] Fixed more license header issues e214aab [Cheng Lian] Added missing license headers b8905ba [Cheng Lian] Fixed minor issues in spark-sql and start-thriftserver.sh f975d22 [Cheng Lian] Updated docs for Hive compatibility and Shark migration guide draft 3ad4e75 [Cheng Lian] Starts spark-sql shell with spark-submit a5310d1 [Cheng Lian] Make HiveThriftServer2 play well with spark-submit 61f39f4 [Cheng Lian] Starts Hive Thrift server via spark-submit 2c4c539 [Cheng Lian] Cherry picked the Hive Thrift server
* SPARK-2680: Lower spark.shuffle.memoryFraction to 0.2 by defaultMatei Zaharia2014-07-261-1/+1
| | | | | | | | Author: Matei Zaharia <matei@databricks.com> Closes #1593 from mateiz/spark-2680 and squashes the following commits: 3c949c4 [Matei Zaharia] Lower spark.shuffle.memoryFraction to 0.2 by default
* [SPARK-2696] Reduce default value of spark.serializer.objectStreamResetHossein2014-07-261-2/+2
| | | | | | | | | | | | | | The current default value of spark.serializer.objectStreamReset is 10,000. When trying to re-partition (e.g., to 64 partitions) a large file (e.g., 500MB), containing 1MB records, the serializer will cache 10000 x 1MB x 64 ~= 640 GB which will cause out of memory errors. This patch sets the default value to a more reasonable default value (100). Author: Hossein <hossein@databricks.com> Closes #1595 from falaki/objectStreamReset and squashes the following commits: 650a935 [Hossein] Updated documentation 1aa0df8 [Hossein] Reduce default value of spark.serializer.objectStreamReset
* Revert "[SPARK-2410][SQL] Merging Hive Thrift/JDBC server"Michael Armbrust2014-07-251-197/+3
| | | | | | | | | | | | This reverts commit 06dc0d2c6b69c5d59b4d194ced2ac85bfe2e05e2. #1399 is making Jenkins fail. We should investigate and put this back after its passing tests. Author: Michael Armbrust <michael@databricks.com> Closes #1594 from marmbrus/revertJDBC and squashes the following commits: 59748da [Michael Armbrust] Revert "[SPARK-2410][SQL] Merging Hive Thrift/JDBC server"
* [SPARK-2410][SQL] Merging Hive Thrift/JDBC serverCheng Lian2014-07-251-3/+197
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue: - Main: [SPARK-2410](https://issues.apache.org/jira/browse/SPARK-2410) - Related: [SPARK-2678](https://issues.apache.org/jira/browse/SPARK-2678) Cherry picked the Hive Thrift/JDBC server from [branch-1.0-jdbc](https://github.com/apache/spark/tree/branch-1.0-jdbc). (Thanks chenghao-intel for his initial contribution of the Spark SQL CLI.) TODO - [x] Use `spark-submit` to launch the server, the CLI and beeline - [x] Migration guideline draft for Shark users ---- Hit by a bug in `SparkSubmitArguments` while working on this PR: all application options that are recognized by `SparkSubmitArguments` are stolen as `SparkSubmit` options. For example: ```bash $ spark-submit --class org.apache.hive.beeline.BeeLine spark-internal --help ``` This actually shows usage information of `SparkSubmit` rather than `BeeLine`. ~~Fixed this bug here since the `spark-internal` related stuff also touches `SparkSubmitArguments` and I'd like to avoid conflict.~~ **UPDATE** The bug mentioned above is now tracked by [SPARK-2678](https://issues.apache.org/jira/browse/SPARK-2678). Decided to revert changes to this bug since it involves more subtle considerations and worth a separate PR. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1399 from liancheng/thriftserver and squashes the following commits: 090beea [Cheng Lian] Revert changes related to SPARK-2678, decided to move them to another PR 21c6cf4 [Cheng Lian] Updated Spark SQL programming guide docs fe0af31 [Cheng Lian] Reordered spark-submit options in spark-shell[.cmd] 199e3fb [Cheng Lian] Disabled MIMA for hive-thriftserver 1083e9d [Cheng Lian] Fixed failed test suites 7db82a1 [Cheng Lian] Fixed spark-submit application options handling logic 9cc0f06 [Cheng Lian] Starts beeline with spark-submit cfcf461 [Cheng Lian] Updated documents and build scripts for the newly added hive-thriftserver profile 061880f [Cheng Lian] Addressed all comments by @pwendell 7755062 [Cheng Lian] Adapts test suites to spark-submit settings 40bafef [Cheng Lian] Fixed more license header issues e214aab [Cheng Lian] Added missing license headers b8905ba [Cheng Lian] Fixed minor issues in spark-sql and start-thriftserver.sh f975d22 [Cheng Lian] Updated docs for Hive compatibility and Shark migration guide draft 3ad4e75 [Cheng Lian] Starts spark-sql shell with spark-submit a5310d1 [Cheng Lian] Make HiveThriftServer2 play well with spark-submit 61f39f4 [Cheng Lian] Starts Hive Thrift server via spark-submit 2c4c539 [Cheng Lian] Cherry picked the Hive Thrift server
* [SPARK-2538] [PySpark] Hash based disk spilling aggregationDavies Liu2014-07-241-0/+9
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | During aggregation in Python worker, if the memory usage is above spark.executor.memory, it will do disk spilling aggregation. It will split the aggregation into multiple stage, in each stage, it will partition the aggregated data by hash and dump them into disks. After all the data are aggregated, it will merge all the stages together (partition by partition). Author: Davies Liu <davies.liu@gmail.com> Closes #1460 from davies/spill and squashes the following commits: cad91bf [Davies Liu] call gc.collect() after data.clear() to release memory as much as possible. 37d71f7 [Davies Liu] balance the partitions 902f036 [Davies Liu] add shuffle.py into run-tests dcf03a9 [Davies Liu] fix memory_info() of psutil 67e6eba [Davies Liu] comment for MAX_TOTAL_PARTITIONS f6bd5d6 [Davies Liu] rollback next_limit() again, the performance difference is huge: e74b785 [Davies Liu] fix code style and change next_limit to memory_limit 400be01 [Davies Liu] address all the comments 6178844 [Davies Liu] refactor and improve docs fdd0a49 [Davies Liu] add long doc string for ExternalMerger 1a97ce4 [Davies Liu] limit used memory and size of objects in partitionBy() e6cc7f9 [Davies Liu] Merge branch 'master' into spill 3652583 [Davies Liu] address comments e78a0a0 [Davies Liu] fix style 24cec6a [Davies Liu] get local directory by SPARK_LOCAL_DIR 57ee7ef [Davies Liu] update docs 286aaff [Davies Liu] let spilled aggregation in Python configurable e9a40f6 [Davies Liu] recursive merger 6edbd1f [Davies Liu] Hash based disk spilling aggregation
* SPARK-2310. Support arbitrary Spark properties on the command line with ...Sandy Ryza2014-07-232-3/+7
| | | | | | | | | | | | | | | | ...spark-submit The PR allows invocations like spark-submit --class org.MyClass --spark.shuffle.spill false myjar.jar Author: Sandy Ryza <sandy@cloudera.com> Closes #1253 from sryza/sandy-spark-2310 and squashes the following commits: 1dc9855 [Sandy Ryza] More doc and cleanup 00edfb9 [Sandy Ryza] Review comments 91b244a [Sandy Ryza] Change format to --conf PROP=VALUE 8fabe77 [Sandy Ryza] SPARK-2310. Support arbitrary Spark properties on the command line with spark-submit
* [SPARK-2102][SQL][CORE] Add option for kryo registration required and use a ↵Ian O Connell2014-07-231-4/+15
| | | | | | | | | | | | | | | resource pool in Spark SQL for Kryo instances. Author: Ian O Connell <ioconnell@twitter.com> Closes #1377 from ianoc/feature/SPARK-2102 and squashes the following commits: 5498566 [Ian O Connell] Docs update suggested by Patrick 20e8555 [Ian O Connell] Slight style change f92c294 [Ian O Connell] Add docs for new KryoSerializer option f3735c8 [Ian O Connell] Add using a kryo resource pool for the SqlSerializer 4e5c342 [Ian O Connell] Register the SparkConf for kryo, it gets swept into serialization 665805a [Ian O Connell] Add a spark.kryo.registrationRequired option for configuring the Kryo Serializer
* [SPARK-1945][MLLIB] Documentation Improvements for Spark 1.0Michael Giannakopoulos2014-07-205-8/+465
| | | | | | | | | | | | | | | | | | | | | | Standalone application examples are added to 'mllib-linear-methods.md' file written in Java. This commit is related to the issue [Add full Java Examples in MLlib docs](https://issues.apache.org/jira/browse/SPARK-1945). Also I changed the name of the sigmoid function from 'logit' to 'f'. This is because the logit function is the inverse of sigmoid. Thanks, Michael Author: Michael Giannakopoulos <miccagiann@gmail.com> Closes #1311 from miccagiann/master and squashes the following commits: 8ffe5ab [Michael Giannakopoulos] Update code so as to comply with code standards. f7ad5cc [Michael Giannakopoulos] Merge remote-tracking branch 'upstream/master' 38d92c7 [Michael Giannakopoulos] Adding PCA, SVD and LBFGS examples in Java. Performing minor updates in the already committed examples so as to eradicate the call of 'productElement' function whenever is possible. cc0a089 [Michael Giannakopoulos] Modyfied Java examples so as to comply with coding standards. b1141b2 [Michael Giannakopoulos] Added Java examples for Clustering and Collaborative Filtering [mllib-clustering.md & mllib-collaborative-filtering.md]. 837f7a8 [Michael Giannakopoulos] Merge remote-tracking branch 'upstream/master' 15f0eb4 [Michael Giannakopoulos] Java examples included in 'mllib-linear-methods.md' file.
* [SPARK-2524] missing document about spark.deploy.retainedDriverslianhuiwang2014-07-191-0/+14
| | | | | | | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-2524 The configuration on spark.deploy.retainedDrivers is undocumented but actually used https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/master/Master.scala#L60 Author: lianhuiwang <lianhuiwang09@gmail.com> Author: Wang Lianhui <lianhuiwang09@gmail.com> Author: unknown <Administrator@taguswang-PC1.tencent.com> Closes #1443 from lianhuiwang/SPARK-2524 and squashes the following commits: 64660fd [Wang Lianhui] address pwendell's comments 5f6bbb7 [Wang Lianhui] missing document about spark.deploy.retainedDrivers 44a3f50 [unknown] Merge remote-tracking branch 'upstream/master' eacf933 [lianhuiwang] Merge remote-tracking branch 'upstream/master' 8bbfe76 [lianhuiwang] Merge remote-tracking branch 'upstream/master' 480ce94 [lianhuiwang] address aarondav comments f2b5970 [lianhuiwang] bugfix worker DriverStateChanged state should match DriverState.FAILED
* Typo fix to the programming guide in the docsCesar Arevalo2014-07-191-3/+3
| | | | | | | | | | Typo fix to the programming guide in the docs. Changed the word "distibuted" to "distributed". Author: Cesar Arevalo <cesar@zephyrhealthinc.com> Closes #1495 from cesararevalo/master and squashes the following commits: 0c2e3a7 [Cesar Arevalo] Typo fix to the programming guide in the docs
* [MLlib] SPARK-1536: multiclass classification support for decision treeManish Amde2014-07-181-3/+5
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The ability to perform multiclass classification is a big advantage for using decision trees and was a highly requested feature for mllib. This pull request adds multiclass classification support to the MLlib decision tree. It also adds sample weights support using WeightedLabeledPoint class for handling unbalanced datasets during classification. It will also support algorithms such as AdaBoost which requires instances to be weighted. It handles the special case where the categorical variables cannot be ordered for multiclass classification and thus the optimizations used for speeding up binary classification cannot be directly used for multiclass classification with categorical variables. More specifically, for m categories in a categorical feature, it analyses all the ```2^(m-1) - 1``` categorical splits provided that #splits are less than the maxBins provided in the input. This condition will not be met for features with large number of categories -- using decision trees is not recommended for such datasets in general since the categorical features are favored over continuous features. Moreover, the user can use a combination of tricks (increasing bin size of the tree algorithms, use binary encoding for categorical features or use one-vs-all classification strategy) to avoid these constraints. The new code is accompanied by unit tests and has also been tested on the iris and covtype datasets. cc: mengxr, etrain, hirakendu, atalwalkar, srowen Author: Manish Amde <manish9ue@gmail.com> Author: manishamde <manish9ue@gmail.com> Author: Evan Sparks <sparks@cs.berkeley.edu> Closes #886 from manishamde/multiclass and squashes the following commits: 26f8acc [Manish Amde] another attempt at fixing mima c5b2d04 [Manish Amde] more MIMA fixes 1ce7212 [Manish Amde] change problem filter for mima 10fdd82 [Manish Amde] fixing MIMA excludes e1c970d [Manish Amde] merged master abf2901 [Manish Amde] adding classes to MimaExcludes.scala 45e767a [Manish Amde] adding developer api annotation for overriden methods c8428c4 [Manish Amde] fixing weird multiline bug afced16 [Manish Amde] removed label weights support 2d85a48 [Manish Amde] minor: fixed scalastyle issues reprise 4e85f2c [Manish Amde] minor: fixed scalastyle issues b2ae41f [Manish Amde] minor: scalastyle e4c1321 [Manish Amde] using while loop for regression histograms d75ac32 [Manish Amde] removed WeightedLabeledPoint from this PR 0fecd38 [Manish Amde] minor: add newline to EOF 2061cf5 [Manish Amde] merged from master 06b1690 [Manish Amde] fixed off-by-one error in bin to split conversion 9cc3e31 [Manish Amde] added implicit conversion import 5c1b2ca [Manish Amde] doc for PointConverter class 485eaae [Manish Amde] implicit conversion from LabeledPoint to WeightedLabeledPoint 3d7f911 [Manish Amde] updated doc 8e44ab8 [Manish Amde] updated doc adc7315 [Manish Amde] support ordered categorical splits for multiclass classification e3e8843 [Manish Amde] minor code formatting 23d4268 [Manish Amde] minor: another minor code style 34ee7b9 [Manish Amde] minor: code style 237762d [Manish Amde] renaming functions 12e6d0a [Manish Amde] minor: removing line in doc 9a90c93 [Manish Amde] Merge branch 'master' into multiclass 1892a2c [Manish Amde] tests and use multiclass binaggregate length when atleast one categorical feature is present f5f6b83 [Manish Amde] multiclass for continous variables 8cfd3b6 [Manish Amde] working for categorical multiclass classification 828ff16 [Manish Amde] added categorical variable test bce835f [Manish Amde] code cleanup 7e5f08c [Manish Amde] minor doc 1dd2735 [Manish Amde] bin search logic for multiclass f16a9bb [Manish Amde] fixing while loop d811425 [Manish Amde] multiclass bin aggregate logic ab5cb21 [Manish Amde] multiclass logic d8e4a11 [Manish Amde] sample weights ed5a2df [Manish Amde] fixed classification requirements d012be7 [Manish Amde] fixed while loop 18d2835 [Manish Amde] changing default values for num classes 6b912dc [Manish Amde] added numclasses to tree runner, predict logic for multiclass, add multiclass option to train 75f2bfc [Manish Amde] minor code style fix e547151 [Manish Amde] minor modifications 34549d0 [Manish Amde] fixing error during merge 098e8c5 [Manish Amde] merged master e006f9d [Manish Amde] changing variable names 5c78e1a [Manish Amde] added multiclass support 6c7af22 [Manish Amde] prepared for multiclass without breaking binary classification 46e06ee [Manish Amde] minor mods 3f85a17 [Manish Amde] tests for multiclass classification 4d5f70c [Manish Amde] added multiclass support for find splits bins 46f909c [Manish Amde] todo for multiclass support 455bea9 [Manish Amde] fixed tests 14aea48 [Manish Amde] changing instance format to weighted labeled point a1a6e09 [Manish Amde] added weighted point class 968ca9d [Manish Amde] merged master 7fc9545 [Manish Amde] added docs ce004a1 [Manish Amde] minor formatting b27ad2c [Manish Amde] formatting 426bb28 [Manish Amde] programming guide blurb 8053fed [Manish Amde] more formatting 5eca9e4 [Manish Amde] grammar 4731cda [Manish Amde] formatting 5e82202 [Manish Amde] added documentation, fixed off by 1 error in max level calculation cbd9f14 [Manish Amde] modified scala.math to math dad9652 [Manish Amde] removed unused imports e0426ee [Manish Amde] renamed parameter 718506b [Manish Amde] added unit test 1517155 [Manish Amde] updated documentation 9dbdabe [Manish Amde] merge from master 719d009 [Manish Amde] updating user documentation fecf89a [manishamde] Merge pull request #6 from etrain/deep_tree 0287772 [Evan Sparks] Fixing scalastyle issue. 2f1e093 [Manish Amde] minor: added doc for maxMemory parameter 2f6072c [manishamde] Merge pull request #5 from etrain/deep_tree abc5a23 [Evan Sparks] Parameterizing max memory. 50b143a [Manish Amde] adding support for very deep trees
* [SPARK-2522] set default broadcast factory to torrentXiangrui Meng2014-07-161-1/+1
| | | | | | | | | | HttpBroadcastFactory is the current default broadcast factory. It sends the broadcast data to each worker one by one, which is slow when the cluster is big. TorrentBroadcastFactory scales much better than http. Maybe we should make torrent the default broadcast method. Author: Xiangrui Meng <meng@databricks.com> Closes #1437 from mengxr/bt-broadcast and squashes the following commits: ed492fe [Xiangrui Meng] set default broadcast factory to torrent
* Added LZ4 to compression codec in configuration page.Reynold Xin2014-07-151-5/+4
| | | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1417 from rxin/lz4 and squashes the following commits: 472f6a1 [Reynold Xin] Set the proper default. 9cf0b2f [Reynold Xin] Added LZ4 to compression codec in configuration page.
* SPARK-2480: Resolve sbt warnings "NOTE: SPARK_YARN is deprecated, please use ↵witgo2014-07-152-3/+3
| | | | | | | | | | | | | -Pyarn flag" Author: witgo <witgo@qq.com> Closes #1404 from witgo/run-tests and squashes the following commits: f703aee [witgo] fix Note: implicit method fromPairDStream is not applicable here because it comes after the application point and it lacks an explicit result type 2944f51 [witgo] Remove "NOTE: SPARK_YARN is deprecated, please use -Pyarn flag" ef59c70 [witgo] fix Note: implicit method fromPairDStream is not applicable here because it comes after the application point and it lacks an explicit result type 6cefee5 [witgo] Remove "NOTE: SPARK_YARN is deprecated, please use -Pyarn flag"
* [SPARK-2399] Add support for LZ4 compression.Reynold Xin2014-07-151-1/+9
| | | | | | | | | | | Based on Greg Bowyer's patch from JIRA https://issues.apache.org/jira/browse/SPARK-2399 Author: Reynold Xin <rxin@apache.org> Closes #1416 from rxin/lz4 and squashes the following commits: 6c8fefe [Reynold Xin] Fixed typo. 8a14d38 [Reynold Xin] [SPARK-2399] Add support for LZ4 compression.
* [SPARK-1946] Submit tasks after (configured ratio) executors have been ↵li-zhihui2014-07-141-0/+19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | registered Because submitting tasks and registering executors are asynchronous, in most situation, early stages' tasks run without preferred locality. A simple solution is sleeping few seconds in application, so that executors have enough time to register. The PR add 2 configuration properties to make TaskScheduler submit tasks after a few of executors have been registered. \# Submit tasks only after (registered executors / total executors) arrived the ratio, default value is 0 spark.scheduler.minRegisteredExecutorsRatio = 0.8 \# Whatever minRegisteredExecutorsRatio is arrived, submit tasks after the maxRegisteredWaitingTime(millisecond), default value is 30000 spark.scheduler.maxRegisteredExecutorsWaitingTime = 5000 Author: li-zhihui <zhihui.li@intel.com> Closes #900 from li-zhihui/master and squashes the following commits: b9f8326 [li-zhihui] Add logs & edit docs 1ac08b1 [li-zhihui] Add new configs to user docs 22ead12 [li-zhihui] Move waitBackendReady to postStartHook c6f0522 [li-zhihui] Bug fix: numExecutors wasn't set & use constant DEFAULT_NUMBER_EXECUTORS 4d6d847 [li-zhihui] Move waitBackendReady to TaskSchedulerImpl.start & some code refactor 0ecee9a [li-zhihui] Move waitBackendReady from DAGScheduler.submitStage to TaskSchedulerImpl.submitTasks 4261454 [li-zhihui] Add docs for new configs & code style ce0868a [li-zhihui] Code style, rename configuration property name of minRegisteredRatio & maxRegisteredWaitingTime 6cfb9ec [li-zhihui] Code style, revert default minRegisteredRatio of yarn to 0, driver get --num-executors in yarn/alpha 812c33c [li-zhihui] Fix driver lost --num-executors option in yarn-cluster mode e7b6272 [li-zhihui] support yarn-cluster 37f7dc2 [li-zhihui] support yarn mode(percentage style) 3f8c941 [li-zhihui] submit stage after (configured ratio of) executors have been registered
* SPARK-2363. Clean MLlib's sample data filesSean Owen2014-07-138-16/+16
| | | | | | | | | | | | | | | | (Just made a PR for this, mengxr was the reporter of:) MLlib has sample data under serveral folders: 1) data/mllib 2) data/ 3) mllib/data/* Per previous discussion with Matei Zaharia, we want to put them under `data/mllib` and clean outdated files. Author: Sean Owen <sowen@cloudera.com> Closes #1394 from srowen/SPARK-2363 and squashes the following commits: 54313dd [Sean Owen] Move ML example data from /mllib/data/ and /data/ into /data/mllib/
* [SPARK-1341] [Streaming] Throttle BlockGenerator to limit rate of data ↵Issac Buenrostro2014-07-101-0/+9
| | | | | | | | | | | | | consumption. Author: Issac Buenrostro <buenrostro@ooyala.com> Closes #945 from ibuenros/SPARK-1341-throttle and squashes the following commits: 5514916 [Issac Buenrostro] Formatting changes, added documentation for streaming throttling, stricter unit tests for throttling. 62f395f [Issac Buenrostro] Add comments and license to streaming RateLimiter.scala 7066438 [Issac Buenrostro] Moved throttle code to RateLimiter class, smoother pushing when throttling active ccafe09 [Issac Buenrostro] Throttle BlockGenerator to limit rate of data consumption.
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