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* [SPARK-2705][CORE] Fixed stage description in stage info pageCheng Lian2014-07-271-7/+7
| | | | | | | | | | | | Stage description should be a `String`, but was changed to an `Option[String]` by mistake: ![stage-desc-small](https://cloud.githubusercontent.com/assets/230655/3655611/f6d0b0f6-117b-11e4-83ed-71000dcd5009.png) Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #1524 from liancheng/fix-stage-desc and squashes the following commits: 3c69327 [Cheng Lian] Fixed stage description object type in Web UI stage table
* SPARK-2684: Update ExternalAppendOnlyMap to take an iterator as inputMatei Zaharia2014-07-274-42/+64
| | | | | | | | | | | This will decrease object allocation from the "update" closure used in map.changeValue. Author: Matei Zaharia <matei@databricks.com> Closes #1607 from mateiz/spark-2684 and squashes the following commits: b7d89e6 [Matei Zaharia] Add insertAll for Iterables too, and fix some code style 561fc97 [Matei Zaharia] Update ExternalAppendOnlyMap to take an iterator as input
* [SPARK-2679] [MLLib] Ser/De for DoubleDoris Xin2014-07-273-3/+76
| | | | | | | | | | | | | | Added a set of serializer/deserializer for Double in _common.py and PythonMLLibAPI in MLLib. Author: Doris Xin <doris.s.xin@gmail.com> Closes #1581 from dorx/doubleSerDe and squashes the following commits: 86a85b3 [Doris Xin] Merge branch 'master' into doubleSerDe 2bfe7a4 [Doris Xin] Removed magic byte ad4d0d9 [Doris Xin] removed a space in unit a9020bc [Doris Xin] units passed 7dad9af [Doris Xin] WIP
* [SPARK-2361][MLLIB] Use broadcast instead of serializing data directly into ↵Xiangrui Meng2014-07-2619-70/+330
| | | | | | | | | | | | | | | | | | | | | | | | | task closure We saw task serialization problems with large feature dimension, which could be avoid if we don't serialize data directly into task but use broadcast variables. This PR uses broadcast in both training and prediction and adds tests to make sure the task size is small. Author: Xiangrui Meng <meng@databricks.com> Closes #1427 from mengxr/broadcast-new and squashes the following commits: b9a1228 [Xiangrui Meng] style update b97c184 [Xiangrui Meng] minimal change to LBFGS 9ebadcc [Xiangrui Meng] add task size test to RowMatrix 9427bf0 [Xiangrui Meng] add task size tests to linear methods e0a5cf2 [Xiangrui Meng] add task size test to GD 28a8411 [Xiangrui Meng] add test for NaiveBayes 380778c [Xiangrui Meng] update KMeans test bccab92 [Xiangrui Meng] add task size test to LBFGS 02103ba [Xiangrui Meng] remove print e73d68e [Xiangrui Meng] update tests for k-means 174cb15 [Xiangrui Meng] use local-cluster for test with a small akka.frameSize 1928a5a [Xiangrui Meng] add test for KMeans task size e00c2da [Xiangrui Meng] use broadcast in GD, KMeans 010d076 [Xiangrui Meng] modify NaiveBayesModel and GLM to use broadcast
* SPARK-2680: Lower spark.shuffle.memoryFraction to 0.2 by defaultMatei Zaharia2014-07-262-2/+2
| | | | | | | | 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-2601] [PySpark] Fix Py4J error when transforming pickleFilesJosh Rosen2014-07-263-5/+12
| | | | | | | | | | Similar to SPARK-1034, the problem was that Py4J didn’t cope well with the fake ClassTags used in the Java API. It doesn’t look like there’s any reason why PythonRDD needs to take a ClassTag, since it just ignores the type of the previous RDD, so I removed the type parameter and we no longer pass ClassTags from Python. Author: Josh Rosen <joshrosen@apache.org> Closes #1605 from JoshRosen/spark-2601 and squashes the following commits: b68e118 [Josh Rosen] Fix Py4J error when transforming pickleFiles [SPARK-2601]
* [SPARK-2704] Name threads in ConnectionManager and mark them as daemon.Reynold Xin2014-07-262-13/+23
| | | | | | | | | | | | handleMessageExecutor, handleReadWriteExecutor, and handleConnectExecutor are not marked as daemon and not named. I think there exists some condition in which Spark programs won't terminate because of this. Stack dump attached in https://issues.apache.org/jira/browse/SPARK-2704 Author: Reynold Xin <rxin@apache.org> Closes #1604 from rxin/daemon and squashes the following commits: 98d6a6c [Reynold Xin] [SPARK-2704] Name threads in ConnectionManager and mark them as daemon.
* [SPARK-2279] Added emptyRDD method to Java APIbpaulin2014-07-262-3/+15
| | | | | | | | | | Added emptyRDD method to Java API with tests. Author: bpaulin <bob@bobpaulin.com> Closes #1597 from bobpaulin/SPARK-2279 and squashes the following commits: 5ad57c2 [bpaulin] [SPARK-2279] Added emptyRDD method to Java API
* [SPARK-2652] [PySpark] Turning some default configs for PySparkDavies Liu2014-07-261-1/+12
| | | | | | | | | | | | | | | | | | | | Add several default configs for PySpark, related to serialization in JVM. spark.serializer = org.apache.spark.serializer.KryoSerializer spark.serializer.objectStreamReset = 100 spark.rdd.compress = True This will help to reduce the memory usage during RDD.partitionBy() Author: Davies Liu <davies.liu@gmail.com> Closes #1568 from davies/conf and squashes the following commits: cd316f1 [Davies Liu] remove duplicated line f71a355 [Davies Liu] rebase to master, add spark.rdd.compress = True 8f63f45 [Davies Liu] Merge branch 'master' into conf 8bc9f08 [Davies Liu] fix unittest c04a83d [Davies Liu] some default configs for PySpark
* [SPARK-2696] Reduce default value of spark.serializer.objectStreamResetHossein2014-07-262-3/+3
| | | | | | | | | | | | | | 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
* [SPARK-1458] [PySpark] Expose sc.version in Java and PySparkJosh Rosen2014-07-262-0/+10
| | | | | | | | Author: Josh Rosen <joshrosen@apache.org> Closes #1596 from JoshRosen/spark-1458 and squashes the following commits: fdbb0bf [Josh Rosen] Add SparkContext.version to Python & Java [SPARK-1458]
* [SPARK-2659][SQL] Fix division semantics for hiveMichael Armbrust2014-07-257-9/+27
| | | | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1557 from marmbrus/fixDivision and squashes the following commits: b85077f [Michael Armbrust] Fix unit tests. af98f29 [Michael Armbrust] Change DIV to long type 0c29ae8 [Michael Armbrust] Fix division semantics for hive
* Part of [SPARK-2456] Removed some HashMaps from DAGScheduler by storing ↵Reynold Xin2014-07-253-97/+69
| | | | | | | | | | | | | | | | | information in Stage. This is part of the scheduler cleanup/refactoring effort to make the scheduler code easier to maintain. @kayousterhout @markhamstra please take a look ... Author: Reynold Xin <rxin@apache.org> Closes #1561 from rxin/dagSchedulerHashMaps and squashes the following commits: 1c44e15 [Reynold Xin] Clear pending tasks in submitMissingTasks. 620a0d1 [Reynold Xin] Use filterKeys. 5b54404 [Reynold Xin] Code review feedback. c1e9a1c [Reynold Xin] Removed some HashMaps from DAGScheduler by storing information in Stage.
* Revert "[SPARK-2410][SQL] Merging Hive Thrift/JDBC server"Michael Armbrust2014-07-2554-1772/+96
| | | | | | | | | | | | 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-1726] [SPARK-2567] Eliminate zombie stages in UI.Kay Ousterhout2014-07-252-65/+76
| | | | | | | | | | | | | | | | | | | | | Due to problems with when we update runningStages (in DAGScheduler.scala) and how we decide to send a SparkListenerStageCompleted message to SparkListeners, sometimes stages can be shown as "running" in the UI forever (even after they have failed). This issue can manifest when stages are resubmitted with 0 tasks, or when the DAGScheduler catches non-serializable tasks. The problem also resulted in a (small) memory leak in the DAGScheduler, where stages can stay in runningStages forever. This commit fixes that problem and adds a unit test. Thanks tsudukim for helping to look into this issue! cc markhamstra rxin Author: Kay Ousterhout <kayousterhout@gmail.com> Closes #1566 from kayousterhout/dag_fix and squashes the following commits: 217d74b [Kay Ousterhout] [SPARK-1726] [SPARK-2567] Eliminate zombie stages in UI.
* [SPARK-2125] Add sort flag and move sort into shuffle implementationsjerryshao2014-07-254-12/+35
| | | | | | | | | | | | | | | | | | | This patch adds a sort flag into ShuffleDependecy and moves sort into hash shuffle implementation. Moving sort into shuffle implementation can give space for other shuffle implementations (like sort-based shuffle) to better optimize sort through shuffle. Author: jerryshao <saisai.shao@intel.com> Closes #1210 from jerryshao/SPARK-2125 and squashes the following commits: 2feaf7b [jerryshao] revert MimaExcludes ceddf75 [jerryshao] add MimaExeclude f674ff4 [jerryshao] Add missing Scope restriction b9fe0dd [jerryshao] Fix some style issues according to comments ef6b729 [jerryshao] Change sort flag into Option 3f6eeed [jerryshao] Fix issues related to unit test 2f552a5 [jerryshao] Minor changes about naming and order c92a281 [jerryshao] Move sort into shuffle implementations
* [SQL]Update HiveMetastoreCatalog.scalabaishuo(白硕)2014-07-251-1/+1
| | | | | | | | | | | I think it's better to defined hiveQlTable as a val Author: baishuo(白硕) <vc_java@hotmail.com> Closes #1569 from baishuo/patch-1 and squashes the following commits: dc2f895 [baishuo(白硕)] Update HiveMetastoreCatalog.scala a7b32a2 [baishuo(白硕)] Update HiveMetastoreCatalog.scala
* [SPARK-2682] Javadoc generated from Scala source code is not in javadoc's indexYin Huai2014-07-251-1/+2
| | | | | | | | | | | | | Add genjavadocSettings back to SparkBuild. It requires #1585 . https://issues.apache.org/jira/browse/SPARK-2682 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1584 from yhuai/SPARK-2682 and squashes the following commits: 2e89461 [Yin Huai] Merge remote-tracking branch 'upstream/master' into SPARK-2682 54e3b66 [Yin Huai] Add genjavadocSettings back.
* [SPARK-2410][SQL] Merging Hive Thrift/JDBC serverCheng Lian2014-07-2554-96/+1772
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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-2683] unidoc failed because org.apache.spark.util.CallSite uses Java ↵Yin Huai2014-07-256-14/+16
| | | | | | | | | | | | | | keywords as value names Renaming `short` to `shortForm` and `long` to `longForm`. JIRA: https://issues.apache.org/jira/browse/SPARK-2683 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1585 from yhuai/SPARK-2683 and squashes the following commits: 5ddb843 [Yin Huai] "short" and "long" are Java keyworks. In order to generate javadoc, renaming "short" to "shortForm" and "long" to "longForm".
* replace println to log4jfireflyc2014-07-251-5/+7
| | | | | | | | | | | | | | Our program needs to receive a large amount of data and run for a long time. We set the log level to WARN but "Storing iterator" "received single" as such message written to the log file. (over yarn) Author: fireflyc <fireflyc@126.com> Closes #1372 from fireflyc/fix-replace-stdout-log and squashes the following commits: e684140 [fireflyc] 'info' modified into the 'debug' fa22a38 [fireflyc] replace println to log4j
* [SPARK-2665] [SQL] Add EqualNS & Unit TestsCheng Hao2014-07-2558-3/+683
| | | | | | | | | | | | | Hive Supports the operator "<=>", which returns same result with EQUAL(=) operator for non-null operands, but returns TRUE if both are NULL, FALSE if one of the them is NULL. Author: Cheng Hao <hao.cheng@intel.com> Closes #1570 from chenghao-intel/equalns and squashes the following commits: 8d6c789 [Cheng Hao] Remove the test case orc_predicate_pushdown 5b2ca88 [Cheng Hao] Add cases into whitelist 8e66cdd [Cheng Hao] Rename the EqualNSTo ==> EqualNullSafe 7af4b0b [Cheng Hao] Add EqualNS & Unit Tests
* [SPARK-2529] Clean closures in foreach and foreachPartition.Reynold Xin2014-07-251-2/+4
| | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #1583 from rxin/closureClean and squashes the following commits: 8982fe6 [Reynold Xin] [SPARK-2529] Clean closures in foreach and foreachPartition.
* SPARK-2657 Use more compact data structures than ArrayBuffer in groupBy & ↵Matei Zaharia2014-07-259-43/+334
| | | | | | | | | | | | | | | | | | | | | | | | | | cogroup JIRA: https://issues.apache.org/jira/browse/SPARK-2657 Our current code uses ArrayBuffers for each group of values in groupBy, as well as for the key's elements in CoGroupedRDD. ArrayBuffers have a lot of overhead if there are few values in them, which is likely to happen in cases such as join. In particular, they have a pointer to an Object[] of size 16 by default, which is 24 bytes for the array header + 128 for the pointers in there, plus at least 32 for the ArrayBuffer data structure. This patch replaces the per-group buffers with a CompactBuffer class that can store up to 2 elements more efficiently (in fields of itself) and acts like an ArrayBuffer beyond that. For a key's elements in CoGroupedRDD, we use an Array of CompactBuffers instead of an ArrayBuffer of ArrayBuffers. There are some changes throughout the code to deal with CoGroupedRDD returning Array instead. We can also decide not to do that but CoGroupedRDD is a `DeveloperAPI` so I think it's okay to change it here. Author: Matei Zaharia <matei@databricks.com> Closes #1555 from mateiz/compact-groupby and squashes the following commits: 845a356 [Matei Zaharia] Lower initial size of CompactBuffer's vector to 8 07621a7 [Matei Zaharia] Review comments 0c1cd12 [Matei Zaharia] Don't use varargs in CompactBuffer.apply bdc8a39 [Matei Zaharia] Small tweak to +=, and typos f61f040 [Matei Zaharia] Fix line lengths 59da88b0 [Matei Zaharia] Fix line lengths 197cde8 [Matei Zaharia] Make CompactBuffer extend Seq to make its toSeq more efficient 775110f [Matei Zaharia] Change CoGroupedRDD to give (K, Array[Iterable[_]]) to avoid wrappers 9b4c6e8 [Matei Zaharia] Use CompactBuffer in CoGroupedRDD ed577ab [Matei Zaharia] Use CompactBuffer in groupByKey 10f0de1 [Matei Zaharia] A CompactBuffer that's more memory-efficient than ArrayBuffer for small buffers
* [SPARK-2656] Python version of stratified samplingDoris Xin2014-07-243-6/+51
| | | | | | | | | | | | exact sample size not supported for now. Author: Doris Xin <doris.s.xin@gmail.com> Closes #1554 from dorx/pystratified and squashes the following commits: 4ba927a [Doris Xin] use rel diff (+- 50%) instead of abs diff (+- 50) bdc3f8b [Doris Xin] updated unit to check sample holistically 7713c7b [Doris Xin] Python version of stratified sampling
* [SPARK-2538] [PySpark] Hash based disk spilling aggregationDavies Liu2014-07-249-25/+611
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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-2014] Make PySpark store RDDs in MEMORY_ONLY_SER with compression by ↵Prashant Sharma2014-07-243-3/+9
| | | | | | | | | | | default Author: Prashant Sharma <prashant.s@imaginea.com> Closes #1051 from ScrapCodes/SPARK-2014/pyspark-cache and squashes the following commits: f192df7 [Prashant Sharma] Code Review 2a2f43f [Prashant Sharma] [SPARK-2014] Make PySpark store RDDs in MEMORY_ONLY_SER with compression by default
* [SPARK-2464][Streaming] Fixed Twitter stream stopping bugTathagata Das2014-07-241-2/+7
| | | | | | | | | | Stopping the Twitter Receiver would call twitter4j's TwitterStream.shutdown, which in turn causes an Exception to be thrown to the listener. This exception caused the Receiver to be restarted. This patch check whether the receiver was stopped or not, and accordingly restarts on exception. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #1577 from tdas/twitter-stop and squashes the following commits: 011b525 [Tathagata Das] Fixed Twitter stream stopping bug.
* SPARK-2250: show stage RDDs in UINeville Li2014-07-241-4/+16
| | | | | | | | | Author: Neville Li <neville@spotify.com> Closes #1188 from nevillelyh/neville/ui and squashes the following commits: d3ac425 [Neville Li] SPARK-2250: show persisted RDD in stage UI f075db9 [Neville Li] SPARK-2035: show call stack even when description is available
* [SPARK-2037]: yarn client mode doesn't support spark.yarn.max.executor.failuresGuoQiang Li2014-07-243-38/+115
| | | | | | | | | | Author: GuoQiang Li <witgo@qq.com> Closes #1180 from witgo/SPARK-2037 and squashes the following commits: 3d52411 [GuoQiang Li] review commit 7058f4d [GuoQiang Li] Correctly stop SparkContext 6d0561f [GuoQiang Li] Fix: yarn client mode doesn't support spark.yarn.max.executor.failures
* [SPARK-2479 (partial)][MLLIB] fix binary metrics unit testsXiangrui Meng2014-07-241-9/+27
| | | | | | | | | | | | Allow small errors in comparison. @dbtsai , this unit test blocks https://github.com/apache/spark/pull/1562 . I may need to merge this one first. We can change it to use the tools in https://github.com/apache/spark/pull/1425 after that PR gets merged. Author: Xiangrui Meng <meng@databricks.com> Closes #1576 from mengxr/fix-binary-metrics-unit-tests and squashes the following commits: 5076a7f [Xiangrui Meng] fix binary metrics unit tests
* [SPARK-2603][SQL] Remove unnecessary toMap and toList in converting Java ↵Yin Huai2014-07-241-6/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | collections to Scala collections JsonRDD.scala In JsonRDD.scalafy, we are using toMap/toList to convert a Java Map/List to a Scala one. These two operations are pretty expensive because they read elements from a Java Map/List and then load to a Scala Map/List. We can use Scala wrappers to wrap those Java collections instead of using toMap/toList. I did a quick test to see the performance. I had a 2.9GB cached RDD[String] storing one JSON object per record (twitter dataset). My simple test program is attached below. ```scala val sqlContext = new org.apache.spark.sql.SQLContext(sc) import sqlContext._ val jsonData = sc.textFile("...") jsonData.cache.count val jsonSchemaRDD = sqlContext.jsonRDD(jsonData) jsonSchemaRDD.registerAsTable("jt") sqlContext.sql("select count(*) from jt").collect ``` Stages for the schema inference and the table scan both had 48 tasks. These tasks were executed sequentially. For the current implementation, scanning the JSON dataset will materialize values of all fields of a record. The inferred schema of the dataset can be accessed at https://gist.github.com/yhuai/05fe8a57c638c6666f8d. From the result, there was no significant difference on running `jsonRDD`. For the simple aggregation query, results are attached below. ``` Original: Run 1: 26.1s Run 2: 27.03s Run 3: 27.035s With this change: Run 1: 21.086s Run 2: 21.035s Run 3: 21.029s ``` JIRA: https://issues.apache.org/jira/browse/SPARK-2603 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #1504 from yhuai/removeToMapToList and squashes the following commits: 6831b77 [Yin Huai] Fix failed tests. 09b9bca [Yin Huai] Merge remote-tracking branch 'upstream/master' into removeToMapToList d1abdb8 [Yin Huai] Remove unnecessary toMap and toList.
* [Build] SPARK-2619: Configurable filemode for the spark/bin folder in debian ↵tzolov2014-07-241-1/+2
| | | | | | | | | | | | | | | | package Add a `<deb.bin.filemode>744</deb.bin.filemode>` property to the `assembly/pom.xml` that defaults to `744`. Use this property for ../bin folder <filemode>. This patch doesn't change the current default modes but allows one override the modes at build time: `-Ddeb.bin.filemode=<new mode>` Author: tzolov <christian.tzolov@gmail.com> Closes #1531 from tzolov/SPARK-2619 and squashes the following commits: 6d95343 [tzolov] [Build] SPARK-2619: Configurable filemode for the spark/bin folder in the .deb package
* SPARK-2150: Provide direct link to finished application UI in yarn resou...Rahul Singhal2014-07-2411-13/+46
| | | | | | | | | | | | | ...rce manager UI Use the event logger directory to provide a direct link to finished application UI in yarn resourcemanager UI. Author: Rahul Singhal <rahul.singhal@guavus.com> Closes #1094 from rahulsinghaliitd/SPARK-2150 and squashes the following commits: 95f230c [Rahul Singhal] SPARK-2150: Provide direct link to finished application UI in yarn resource manager UI
* [SPARK-2661][bagel]unpersist old processed rddDaoyuan2014-07-241-0/+5
| | | | | | | | | | | Unpersist useless rdd during bagel iteration to make full use of memory. Author: Daoyuan <daoyuan.wang@intel.com> Closes #1519 from adrian-wang/bagelunpersist and squashes the following commits: 182c9dd [Daoyuan] rename var nextUseless to lastRDD 87fd3a4 [Daoyuan] bagel unpersist old processed rdd
* SPARK-2310. Support arbitrary Spark properties on the command line with ...Sandy Ryza2014-07-235-4/+32
| | | | | | | | | | | | | | | | ...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-2658][SQL] Add rule for true = 1.Michael Armbrust2014-07-233-1/+24
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #1556 from marmbrus/fixBooleanEqualsOne and squashes the following commits: ad8edd4 [Michael Armbrust] Add rule for true = 1 and false = 0.
* SPARK-2662: Fix NPE for JsonProtocolGuoQiang Li2014-07-231-1/+2
| | | | | | | | Author: GuoQiang Li <witgo@qq.com> Closes #1511 from witgo/JsonProtocol and squashes the following commits: 2b6227f [GuoQiang Li] Fix NPE for JsonProtocol
* Replace RoutingTableMessage with pairAnkur Dave2014-07-234-30/+36
| | | | | | | | | | | | | | | | | | | | | | | RoutingTableMessage was used to construct routing tables to enable joining VertexRDDs with partitioned edges. It stored three elements: the destination vertex ID, the source edge partition, and a byte specifying the position in which the edge partition referenced the vertex to enable join elimination. However, this was incompatible with sort-based shuffle (SPARK-2045). It was also slightly wasteful, because partition IDs are usually much smaller than 2^32, though this was mitigated by a custom serializer that used variable-length encoding. This commit replaces RoutingTableMessage with a pair of (VertexId, Int) where the Int encodes both the source partition ID (in the lower 30 bits) and the position (in the top 2 bits). Author: Ankur Dave <ankurdave@gmail.com> Closes #1553 from ankurdave/remove-RoutingTableMessage and squashes the following commits: 697e17b [Ankur Dave] Replace RoutingTableMessage with pair
* [SPARK-2484][SQL] Build should not run hivecompatibility tests by default.witgo2014-07-232-0/+30
| | | | | | | | Author: witgo <witgo@qq.com> Closes #1403 from witgo/hive_compatibility and squashes the following commits: 4e5ecdb [witgo] The default does not run hive compatibility tests
* [SPARK-2549] Functions defined inside of other functions trigger failuresPrashant Sharma2014-07-232-106/+98
| | | | | | | | | Author: Prashant Sharma <prashant.s@imaginea.com> Closes #1510 from ScrapCodes/SPARK-2549/fun-in-fun and squashes the following commits: 9458bc5 [Prashant Sharma] Tested by removing an inner function from excludes. bc03b1c [Prashant Sharma] SPARK-2549 Functions defined inside of other functions trigger failures
* [SPARK-2102][SQL][CORE] Add option for kryo registration required and use a ↵Ian O Connell2014-07-233-17/+50
| | | | | | | | | | | | | | | 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-2569][SQL] Fix shipping of TEMPORARY hive UDFs.Michael Armbrust2014-07-233-235/+261
| | | | | | | | | | Instead of shipping just the name and then looking up the info on the workers, we now ship the whole classname. Also, I refactored the file as it was getting pretty large to move out the type conversion code to its own file. Author: Michael Armbrust <michael@databricks.com> Closes #1552 from marmbrus/fixTempUdfs and squashes the following commits: b695904 [Michael Armbrust] Make add jar execute with Hive. Ship the whole function class name since sometimes we cannot lookup temporary functions on the workers.
* SPARK-2226: [SQL] transform HAVING clauses with aggregate expressions that ↵William Benton2014-07-2312-1/+869
| | | | | | | | | | | | | | | | | | | | | | | aren't in the aggregation list This change adds an analyzer rule to 1. find expressions in `HAVING` clause filters that depend on unresolved attributes, 2. push these expressions down to the underlying aggregates, and then 3. project them away above the filter. It also enables the `HAVING` queries in the Hive compatibility suite. Author: William Benton <willb@redhat.com> Closes #1497 from willb/spark-2226 and squashes the following commits: 92c9a93 [William Benton] Removed unnecessary import f1d4f34 [William Benton] Cleanups missed in prior commit 0e1624f [William Benton] Incorporated suggestions from @marmbrus; thanks! 541d4ee [William Benton] Cleanups from review 5a12647 [William Benton] Explanatory comments and stylistic cleanups. c7f2b2c [William Benton] Whitelist HAVING queries. 29a26e3 [William Benton] Added rule to handle unresolved attributes in HAVING clauses (SPARK-2226)
* SPARK-2277: clear host->rack info properlyRui Li2014-07-231-0/+2
| | | | | | | | | | | Hi mridulm, I just think of this issue of [#1212](https://github.com/apache/spark/pull/1212): I added FakeRackUtil to hold the host -> rack mapping. It should be cleaned up after use so that it won't mess up with test cases others may add later. Really sorry about this. Author: Rui Li <rui.li@intel.com> Closes #1454 from lirui-intel/SPARK-2277-fix-UT and squashes the following commits: f8ea25c [Rui Li] SPARK-2277: clear host->rack info properly
* [SPARK-2588][SQL] Add some more DSLs.Takuya UESHIN2014-07-233-33/+70
| | | | | | | | | | Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #1491 from ueshin/issues/SPARK-2588 and squashes the following commits: 43d0a46 [Takuya UESHIN] Merge branch 'master' into issues/SPARK-2588 1023ea0 [Takuya UESHIN] Modify tests to use DSLs. 2310bf1 [Takuya UESHIN] Add some more DSLs.
* [CORE] SPARK-2640: In "local[N]", free cores of the only executor should be ↵woshilaiceshide2014-07-231-2/+2
| | | | | | | | | | | | | touched by "spark.task.cpus" for every finish/start-up of tasks. Make spark's "local[N]" better. In our company, we use "local[N]" in production. It works exellentlly. It's our best choice. Author: woshilaiceshide <woshilaiceshide@qq.com> Closes #1544 from woshilaiceshide/localX and squashes the following commits: 6c85154 [woshilaiceshide] [CORE] SPARK-2640: In "local[N]", free cores of the only executor should be touched by "spark.task.cpus" for every finish/start-up of tasks.
* [SPARK-2609] Log thread ID when spilling ExternalAppendOnlyMapAndrew Or2014-07-231-3/+3
| | | | | | | | | | | | | | | | | | | | | | | | | It's useful to know whether one thread is constantly spilling or multiple threads are spilling relatively infrequently. Right now everything looks a little jumbled and we can't tell which lines belong to the same thread. For instance: ``` 06:14:37 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (194 times so far) 06:14:37 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (198 times so far) 06:14:37 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (198 times so far) 06:14:37 ExternalAppendOnlyMap: Spilling in-memory map of 10 MB to disk (197 times so far) 06:14:38 ExternalAppendOnlyMap: Spilling in-memory map of 9 MB to disk (45 times so far) 06:14:38 ExternalAppendOnlyMap: Spilling in-memory map of 23 MB to disk (198 times so far) 06:14:38 ExternalAppendOnlyMap: Spilling in-memory map of 38 MB to disk (25 times so far) 06:14:38 ExternalAppendOnlyMap: Spilling in-memory map of 161 MB to disk (25 times so far) 06:14:39 ExternalAppendOnlyMap: Spilling in-memory map of 0 MB to disk (199 times so far) 06:14:39 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (166 times so far) 06:14:39 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (199 times so far) 06:14:39 ExternalAppendOnlyMap: Spilling in-memory map of 4 MB to disk (200 times so far) ``` Author: Andrew Or <andrewor14@gmail.com> Closes #1517 from andrewor14/external-log and squashes the following commits: 90e48bb [Andrew Or] Log thread ID when spilling
* [SPARK-2617] Correct doc and usages of preservesPartitioningXiangrui Meng2014-07-238-15/+37
| | | | | | | | | | | | | | | | | | | | | The name `preservesPartitioning` is ambiguous: 1) preserves the indices of partitions, 2) preserves the partitioner. The latter is correct and `preservesPartitioning` should really be called `preservesPartitioner` to avoid confusion. Unfortunately, this is already part of the API and we cannot change. We should be clear in the doc and fix wrong usages. This PR 1. adds notes in `maPartitions*`, 2. makes `RDD.sample` preserve partitioner, 3. changes `preservesPartitioning` to false in `RDD.zip` because the keys of the first RDD are no longer the keys of the zipped RDD, 4. fixes some wrong usages in MLlib. Author: Xiangrui Meng <meng@databricks.com> Closes #1526 from mengxr/preserve-partitioner and squashes the following commits: b361e65 [Xiangrui Meng] update doc based on pwendell's comments 3b1ba19 [Xiangrui Meng] update doc 357575c [Xiangrui Meng] fix unit test 20b4816 [Xiangrui Meng] Merge branch 'master' into preserve-partitioner d1caa65 [Xiangrui Meng] add doc to explain preservesPartitioning fix wrong usage of preservesPartitioning make sample preserse partitioning
* Remove GraphX MessageToPartition for compatibility with sort-based shuffleAnkur Dave2014-07-225-228/+2
| | | | | | | | | | | MessageToPartition was used in `Graph#partitionBy`. Unlike a Tuple2, it marked the key as transient to avoid sending it over the network. However, it was incompatible with sort-based shuffle (SPARK-2045) and represented only a minor optimization: for partitionBy, it improved performance by 6.3% (30.4 s to 28.5 s) and reduced communication by 5.6% (114.2 MB to 107.8 MB). Author: Ankur Dave <ankurdave@gmail.com> Closes #1537 from ankurdave/remove-MessageToPartition and squashes the following commits: f9d0054 [Ankur Dave] Remove MessageToPartition ab71364 [Ankur Dave] Remove unused VertexBroadcastMsg
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