- Nov 18, 2014
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Davies Liu authored
The progress bar will look like this:  In the right corner, the numbers are: finished tasks, running tasks, total tasks. After the stage has finished, it will disappear. The progress bar is only showed if logging level is WARN or higher (but progress in title is still showed), it can be turned off by spark.driver.showConsoleProgress. Author: Davies Liu <davies@databricks.com> Closes #3029 from davies/progress and squashes the following commits: 95336d5 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress fc49ac8 [Davies Liu] address commentse 2e90f75 [Davies Liu] show multiple stages in same time 0081bcc [Davies Liu] address comments 38c42f1 [Davies Liu] fix tests ab87958 [Davies Liu] disable progress bar during tests 30ac852 [Davies Liu] re-implement progress bar b3f34e5 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress 6fd30ff [Davies Liu] show progress bar if no task finished in 500ms e4e7344 [Davies Liu] refactor e1f524d [Davies Liu] revert unnecessary change a60477c [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress 5cae3f2 [Davies Liu] fix style ea49fe0 [Davies Liu] address comments bc53d99 [Davies Liu] refactor e6bb189 [Davies Liu] fix logging in sparkshell 7e7d4e7 [Davies Liu] address commments 5df26bb [Davies Liu] fix style 9e42208 [Davies Liu] show progress bar in console and title
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Davies Liu authored
If SparkSubmit die first, then bootstrapper will be blocked by shutdown hook. sys.exit() in a shutdown hook will cause some kind of dead lock. cc andrewor14 Author: Davies Liu <davies@databricks.com> Closes #3289 from davies/fix_bootstraper and squashes the following commits: ea5cdd1 [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_bootstraper e04b690 [Davies Liu] remove sys.exit in hook 4d11366 [Davies Liu] remove shutdown hook if subprocess die fist
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Kousuke Saruta authored
This PR adds a regression test for SPARK-4434. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3326 from sarutak/add-triple-slash-testcase and squashes the following commits: 82bc9cc [Kousuke Saruta] Fixed wrong grammar in comment 9149027 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into add-triple-slash-testcase c1c80ca [Kousuke Saruta] Fixed style 4f30210 [Kousuke Saruta] Modified comments 9e09da2 [Kousuke Saruta] Fixed URI validation for jar file d4b99ef [Kousuke Saruta] [SPARK-4075] [Deploy] Jar url validation is not enough for Jar file ac79906 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into add-triple-slash-testcase 6d4f47e [Kousuke Saruta] Added a test case as a regression check for SPARK-4434
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Michael Armbrust authored
Author: Michael Armbrust <michael@databricks.com> Closes #3272 from marmbrus/keyInPartitionedTable and squashes the following commits: 447f08c [Michael Armbrust] Support partitioned parquet tables that have the key in both the directory and the file
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Xiangrui Meng authored
In PySpark, ALS can take an RDD of (user, product, rating) tuples as input. However, model.predict outputs an RDD of Rating. So on the input side, users can use r[0], r[1], r[2], while on the output side, users have to use r.user, r.product, r.rating. We should allow lookup by index in Rating by making Rating a namedtuple. davies <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3261) <!-- Reviewable:end --> Author: Xiangrui Meng <meng@databricks.com> Closes #3261 from mengxr/SPARK-4396 and squashes the following commits: 543aef0 [Xiangrui Meng] use named tuple to implement ALS 0b61bae [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4396 d3bd7d4 [Xiangrui Meng] allow lookup by index in Python's Rating
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Davies Liu authored
This PR add setThrehold() and clearThreshold() for LogisticRegressionModel and SVMModel, also support RDD of vector in LogisticRegressionModel.predict(), SVNModel.predict() and NaiveBayes.predict() Author: Davies Liu <davies@databricks.com> Closes #3305 from davies/setThreshold and squashes the following commits: d0b835f [Davies Liu] Merge branch 'master' of github.com:apache/spark into setThreshold e4acd76 [Davies Liu] address comments 2231a5f [Davies Liu] bugfix 7bd9009 [Davies Liu] address comments 0b0a8a7 [Davies Liu] address comments c1e5573 [Davies Liu] improve classification
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Felix Maximilian Möller authored
Author: Felix Maximilian Möller <felixmaximilian.moeller@immobilienscout24.de> Closes #3343 from felixmaximilian/fix-documentation and squashes the following commits: 43dcdfb [Felix Maximilian Möller] Removed the information about the switch implicitPrefs. The parameter implicitPrefs cannot be set in this context because it is inherent true when calling the trainImplicit method. 7d172ba [Felix Maximilian Möller] added missing parameter alpha in doc string.
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- Nov 17, 2014
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Patrick Wendell authored
The maven release plug-in does not have support for publishing two separate sets of artifacts for a single release. Because of the way that Scala 2.11 support in Spark works, we have to write some customized code to do this. The good news is that the Maven release API is just a thin wrapper on doing git commits and pushing artifacts to the HTTP API of Apache's Sonatype server and this might overall make our deployment easier to understand. This was already used for the 1.2 snapshot, so I think it is working well. One other nice thing is this could be pretty easily extended to publish nightly snapshots. Author: Patrick Wendell <pwendell@gmail.com> Closes #3332 from pwendell/releases and squashes the following commits: 2fedaed [Patrick Wendell] Automate the opening and closing of Sonatype repos e2a24bb [Patrick Wendell] Fixing issue where we overrode non-spark version numbers 9df3a50 [Patrick Wendell] Adding TODO 1cc1749 [Patrick Wendell] Don't build the thriftserver for 2.11 933201a [Patrick Wendell] Make tagging of release commit eager d0388a6 [Patrick Wendell] Support Scala 2.11 build 4f4dc62 [Patrick Wendell] Change to 2.11 should not be included when committing new patch bf742e1 [Patrick Wendell] Minor fixes ffa1df2 [Patrick Wendell] Adding a Scala 2.11 package to test it 9ac4381 [Patrick Wendell] Addressing TODO b3105ff [Patrick Wendell] Removing commented out code d906803 [Patrick Wendell] Small fix 3f4d985 [Patrick Wendell] More work fcd54c2 [Patrick Wendell] Consolidating use of keys df2af30 [Patrick Wendell] Changes to release stuff
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Cheng Lian authored
While reviewing PR #3083 and #3161, I noticed that Parquet record filter generation code can be simplified significantly according to the clue stated in [SPARK-4453](https://issues.apache.org/jira/browse/SPARK-4213). This PR addresses both SPARK-4453 and SPARK-4213 with this simplification. While generating `ParquetTableScan` operator, we need to remove all Catalyst predicates that have already been pushed down to Parquet. Originally, we first generate the record filter, and then call `findExpression` to traverse the generated filter to find out all pushed down predicates [[1](https://github.com/apache/spark/blob/64c6b9bad559c21f25cd9fbe37c8813cdab939f2/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L213-L228)]. In this way, we have to introduce the `CatalystFilter` class hierarchy to bind the Catalyst predicates together with their generated Parquet filter, and complicate the code base a lot. The basic idea of this PR is that, we don't need `findExpression` after filter generation, because we already know a predicate can be pushed down if we can successfully generate its corresponding Parquet filter. SPARK-4213 is fixed by returning `None` for any unsupported predicate type. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3317) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3317 from liancheng/simplify-parquet-filters and squashes the following commits: d6a9499 [Cheng Lian] Fixes import styling issue 43760e8 [Cheng Lian] Simplifies Parquet filter generation logic
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Cheng Hao authored
Author: Cheng Hao <hao.cheng@intel.com> Closes #3308 from chenghao-intel/unwrap_constant_oi and squashes the following commits: 156b500 [Cheng Hao] rebase the master c5b20ab [Cheng Hao] unwrap for the ConstantObjectInspector
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w00228970 authored
The `totalSize` of external table is always zero, which will influence join strategy(always use broadcast join for external table). Author: w00228970 <wangfei1@huawei.com> Closes #3304 from scwf/statistics and squashes the following commits: 568f321 [w00228970] fix statistics for external table
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Cheng Lian authored
This PR is exactly the same as #3178 except it reverts the `FileStatus.isDir` to `FileStatus.isDirectory` change, since it doesn't compile with Hadoop 1. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3298) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3298 from liancheng/date-for-thriftserver and squashes the following commits: 866037e [Cheng Lian] Revers isDirectory to isDir (it breaks Hadoop 1 profile) 6f71d0b [Cheng Lian] Makes toHiveString static 26fa955 [Cheng Lian] Fixes complex type support in Hive 0.13.1 shim a92882a [Cheng Lian] Updates HiveShim for 0.13.1 73f442b [Cheng Lian] Adds Date support for HiveThriftServer2 (Hive 0.12.0)
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Cheng Hao authored
Author: Cheng Hao <hao.cheng@intel.com> Closes #3217 from chenghao-intel/mutablerow and squashes the following commits: e8a10bd [Cheng Hao] revert the change of Row object 4681aea [Cheng Hao] Add toMutableRow method in object Row a751838 [Cheng Hao] Construct the MutableRow from an existed row
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Takuya UESHIN authored
`Cast` from `NaN` or `Infinity` of `Double` or `Float` to `TimestampType` throws `NumberFormatException`. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3283 from ueshin/issues/SPARK-4425 and squashes the following commits: 14def0c [Takuya UESHIN] Fix Cast to be able to handle NaN or Infinity to TimestampType.
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Takuya UESHIN authored
This is follow-up of [SPARK-4390](https://issues.apache.org/jira/browse/SPARK-4390) (#3256). Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3278 from ueshin/issues/SPARK-4420 and squashes the following commits: 7fea558 [Takuya UESHIN] Add some tests. cb2301a [Takuya UESHIN] Fix tests. 133bad5 [Takuya UESHIN] Change nullability of Cast from DoubleType/FloatType to DecimalType.
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Cheng Lian authored
This is inspired by the [Parquet record filter generation code](https://github.com/apache/spark/blob/64c6b9bad559c21f25cd9fbe37c8813cdab939f2/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetFilters.scala#L387-L400). <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3318) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3318 from liancheng/aggresive-conj-pushdown and squashes the following commits: 78b69d2 [Cheng Lian] Makes conjunction pushdown more aggressive
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Josh Rosen authored
This patch adds error-detection logic to throw an exception when attempting to create multiple active SparkContexts in the same JVM, since this is currently unsupported and has been known to cause confusing behavior (see SPARK-2243 for more details). **The solution implemented here is only a partial fix.** A complete fix would have the following properties: 1. Only one SparkContext may ever be under construction at any given time. 2. Once a SparkContext has been successfully constructed, any subsequent construction attempts should fail until the active SparkContext is stopped. 3. If the SparkContext constructor throws an exception, then all resources created in the constructor should be cleaned up (SPARK-4194). 4. If a user attempts to create a SparkContext but the creation fails, then the user should be able to create new SparkContexts. This PR only provides 2) and 4); we should be able to provide all of these properties, but the correct fix will involve larger changes to SparkContext's construction / initialization, so we'll target it for a different Spark release. ### The correct solution: I think that the correct way to do this would be to move the construction of SparkContext's dependencies into a static method in the SparkContext companion object. Specifically, we could make the default SparkContext constructor `private` and change it to accept a `SparkContextDependencies` object that contains all of SparkContext's dependencies (e.g. DAGScheduler, ContextCleaner, etc.). Secondary constructors could call a method on the SparkContext companion object to create the `SparkContextDependencies` and pass the result to the primary SparkContext constructor. For example: ```scala class SparkContext private (deps: SparkContextDependencies) { def this(conf: SparkConf) { this(SparkContext.getDeps(conf)) } } object SparkContext( private[spark] def getDeps(conf: SparkConf): SparkContextDependencies = synchronized { if (anotherSparkContextIsActive) { throw Exception(...) } var dagScheduler: DAGScheduler = null try { dagScheduler = new DAGScheduler(...) [...] } catch { case e: Exception => Option(dagScheduler).foreach(_.stop()) [...] } SparkContextDependencies(dagScheduler, ....) } } ``` This gives us mutual exclusion and ensures that any resources created during the failed SparkContext initialization are properly cleaned up. This indirection is necessary to maintain binary compatibility. In retrospect, it would have been nice if SparkContext had no private constructors and could only be created through builder / factory methods on its companion object, since this buys us lots of flexibility and makes dependency injection easier. ### Alternative solutions: As an alternative solution, we could refactor SparkContext's primary constructor to perform all object creation in a giant `try-finally` block. Unfortunately, this will require us to turn a bunch of `vals` into `vars` so that they can be assigned from the `try` block. If we still want `vals`, we could wrap each `val` in its own `try` block (since the try block can return a value), but this will lead to extremely messy code and won't guard against the introduction of future code which doesn't properly handle failures. The more complex approach outlined above gives us some nice dependency injection benefits, so I think that might be preferable to a `var`-ification. ### This PR's solution: - At the start of the constructor, check whether some other SparkContext is active; if so, throw an exception. - If another SparkContext might be under construction (or has thrown an exception during construction), allow the new SparkContext to begin construction but log a warning (since resources might have been leaked from a failed creation attempt). - At the end of the SparkContext constructor, check whether some other SparkContext constructor has raced and successfully created an active context. If so, throw an exception. This guarantees that no two SparkContexts will ever be active and exposed to users (since we check at the very end of the constructor). If two threads race to construct SparkContexts, then one of them will win and another will throw an exception. This exception can be turned into a warning by setting `spark.driver.allowMultipleContexts = true`. The exception is disabled in unit tests, since there are some suites (such as Hive) that may require more significant refactoring to clean up their SparkContexts. I've made a few changes to other suites' test fixtures to properly clean up SparkContexts so that the unit test logs contain fewer warnings. Author: Josh Rosen <joshrosen@databricks.com> Closes #3121 from JoshRosen/SPARK-4180 and squashes the following commits: 23c7123 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 d38251b [Josh Rosen] Address latest round of feedback. c0987d3 [Josh Rosen] Accept boolean instead of SparkConf in methods. 85a424a [Josh Rosen] Incorporate more review feedback. 372d0d3 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 f5bb78c [Josh Rosen] Update mvn build, too. d809cb4 [Josh Rosen] Improve handling of failed SparkContext creation attempts. 79a7e6f [Josh Rosen] Fix commented out test a1cba65 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 7ba6db8 [Josh Rosen] Add utility to set system properties in tests. 4629d5c [Josh Rosen] Set spark.driver.allowMultipleContexts=true in tests. ed17e14 [Josh Rosen] Address review feedback; expose hack workaround for existing unit tests. 1c66070 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 06c5c54 [Josh Rosen] Add / improve SparkContext cleanup in streaming BasicOperationsSuite d0437eb [Josh Rosen] StreamingContext.stop() should stop SparkContext even if StreamingContext has not been started yet. c4d35a2 [Josh Rosen] Log long form of creation site to aid debugging. 918e878 [Josh Rosen] Document "one SparkContext per JVM" limitation. afaa7e3 [Josh Rosen] [SPARK-4180] Prevent creations of multiple active SparkContexts.
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Andy Konwinski authored
Author: Andy Konwinski <andykonwinski@gmail.com> Closes #3323 from andyk/patch-2 and squashes the following commits: 4699fdc [Andy Konwinski] Fix broken link to Row class scaladoc
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Ankur Dave authored
Due to vertex attribute caching, EdgeRDD previously took two type parameters: ED and VD. However, this is an implementation detail that should not be exposed in the interface, so this PR drops the VD type parameter. This requires removing the `filter` method from the EdgeRDD interface, because it depends on vertex attribute caching. Author: Ankur Dave <ankurdave@gmail.com> Closes #3303 from ankurdave/edgerdd-drop-tparam and squashes the following commits: 38dca9b [Ankur Dave] Leave EdgeRDD.fromEdges public fafeb51 [Ankur Dave] Drop VD type parameter from EdgeRDD
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Adam Pingel authored
Author: Adam Pingel <adam@axle-lang.org> Closes #3282 from adampingel/master and squashes the following commits: 70c8d3c [Adam Pingel] relocate the algebird example back to example/src 7a9d8be [Adam Pingel] SPARK-2811 upgrade algebird to 0.8.1
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Prashant Sharma authored
Author: Prashant Sharma <prashant.s@imaginea.com> Closes #3310 from ScrapCodes/SPARK-4445/rddDebugStringFix and squashes the following commits: 4e57c52 [Prashant Sharma] SPARK-4445, Don't display storage level in toDebugString unless RDD is persisted
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- Nov 16, 2014
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Michael Armbrust authored
Adds a new operator that uses Spark's `ExternalSort` class. It is off by default now, but we might consider making it the default if benchmarks show that it does not regress performance. Author: Michael Armbrust <michael@databricks.com> Closes #3268 from marmbrus/externalSort and squashes the following commits: 48b9726 [Michael Armbrust] comments b98799d [Michael Armbrust] Add test afd7562 [Michael Armbrust] Add support for external sort.
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GuoQiang Li authored
cc mengxr Author: GuoQiang Li <witgo@qq.com> Closes #3281 from witgo/SPARK-4422 and squashes the following commits: 5f1fa5e [GuoQiang Li] import order 50783bd [GuoQiang Li] review commits 7a10123 [GuoQiang Li] In some cases, Vectors.fromBreeze get wrong results.
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Michael Armbrust authored
Revert "[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types" Author: Michael Armbrust <michael@databricks.com> Closes #3292 from marmbrus/revert4309 and squashes the following commits: 808e96e [Michael Armbrust] Revert "[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types"
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Cheng Lian authored
SPARK-4407 was detected while working on SPARK-4309. Merged these two into a single PR since 1.2.0 RC is approaching. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3178) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3178 from liancheng/date-for-thriftserver and squashes the following commits: 6f71d0b [Cheng Lian] Makes toHiveString static 26fa955 [Cheng Lian] Fixes complex type support in Hive 0.13.1 shim a92882a [Cheng Lian] Updates HiveShim for 0.13.1 73f442b [Cheng Lian] Adds Date support for HiveThriftServer2 (Hive 0.12.0)
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Josh Rosen authored
This patch is intended to fix a subtle memory leak in ConnectionManager's ACK timeout TimerTasks: in the old code, each TimerTask held a reference to the message being sent and a cancelled TimerTask won't necessarily be garbage-collected until it's scheduled to run, so this caused huge buildups of messages that weren't garbage collected until their timeouts expired, leading to OOMs. This patch addresses this problem by capturing only the message ID in the TimerTask instead of the whole message, and by keeping a WeakReference to the promise in the TimerTask. I've also modified this code to use Netty's HashedWheelTimer, whose performance characteristics should be better for this use-case. Thanks to cristianopris for narrowing down this issue! Author: Josh Rosen <joshrosen@databricks.com> Closes #3259 from JoshRosen/connection-manager-timeout-bugfix and squashes the following commits: afcc8d6 [Josh Rosen] Address rxin's review feedback. 2a2e92d [Josh Rosen] Keep only WeakReference to promise in TimerTask; 0f0913b [Josh Rosen] Spelling fix: timout => timeout 3200c33 [Josh Rosen] Use Netty HashedWheelTimer f847dd4 [Josh Rosen] Don't capture entire message in ACK timeout task.
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Kousuke Saruta authored
The symbol of BitwiseOr is defined as '&' but I think it's wrong. It should be '|'. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3284 from sarutak/bitwise-or-symbol-fix and squashes the following commits: aff4be5 [Kousuke Saruta] Fixed symbol of BitwiseOr
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Josh Rosen authored
This upgrades snappy-java to 1.1.1.6, which includes a patch that improves error messages when attempting to deserialize empty inputs using SnappyInputStream (see xerial/snappy-java#89). We previously tried up upgrade to 1.1.1.5 in #2911 but reverted that patch after discovering a memory leak in snappy-java. This should leak have been fixed in 1.1.1.6, though (see xerial/snappy-java#92). Author: Josh Rosen <joshrosen@databricks.com> Closes #3287 from JoshRosen/SPARK-4419 and squashes the following commits: 5d6f4cc [Josh Rosen] [SPARK-4419] Upgrade snappy-java to 1.1.1.6.
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- Nov 15, 2014
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Josh Rosen authored
This PR refactors / extends the status API introduced in #2696. - Change StatusAPI from a mixin trait to a class. Before, the new status API methods were directly accessible through SparkContext, whereas now they're accessed through a `sc.statusAPI` field. As long as we were going to add these methods directly to SparkContext, the mixin trait seemed like a good idea, but this might be simpler to reason about and may avoid pitfalls that I've run into while attempting to refactor other parts of SparkContext to use mixins (see #3071, for example). - Change the name from SparkStatusAPI to SparkStatusTracker. - Make `getJobIdsForGroup(null)` return ids for jobs that aren't associated with any job group. - Add `getActiveStageIds()` and `getActiveJobIds()` methods that return the ids of whatever's currently active in this SparkContext. This should simplify davies's progress bar code. Author: Josh Rosen <joshrosen@databricks.com> Closes #3197 from JoshRosen/progress-api-improvements and squashes the following commits: 30b0afa [Josh Rosen] Rename SparkStatusAPI to SparkStatusTracker. d1b08d8 [Josh Rosen] Add missing newlines 2cc7353 [Josh Rosen] Add missing file. d5eab1f [Josh Rosen] Add getActive[Stage|Job]Ids() methods. a227984 [Josh Rosen] getJobIdsForGroup(null) should return jobs for default group c47e294 [Josh Rosen] Remove StatusAPI mixin trait.
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kai authored
Add contains(key) to org.apache.spark.sql.catalyst.util.Metadata to test the existence of a key. Otherwise, Class Metadata's get methods may throw NoSuchElement exception if the key does not exist. Testcases are added to MetadataSuite as well. Author: kai <kaizeng@eecs.berkeley.edu> Closes #3273 from kai-zeng/metadata-fix and squashes the following commits: 74b3d03 [kai] Added contains(key) to Metadata
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Kousuke Saruta authored
Httpbroadcast sets read timeout but doesn't set connection timeout. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3122 from sarutak/httpbroadcast-timeout and squashes the following commits: c7f3a56 [Kousuke Saruta] Added Connection timeout for Http Connection to HttpBroadcast.scala
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zsxwing authored
Author: zsxwing <zsxwing@gmail.com> Closes #3226 from zsxwing/SPARK-4363 and squashes the following commits: 8109914 [zsxwing] Update the Broadcast example
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zsxwing authored
It's better to change to SparkException. However, it's a breaking change since it will change the exception type. Author: zsxwing <zsxwing@gmail.com> Closes #3241 from zsxwing/SPARK-4379 and squashes the following commits: 409f3af [zsxwing] Change Exception to SparkException in checkpoint
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- Nov 14, 2014
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Davies Liu authored
When JVM is started in a Python process, it should exit once the stdin is closed. test: add spark.driver.memory in conf/spark-defaults.conf ``` daviesdm:~/work/spark$ cat conf/spark-defaults.conf spark.driver.memory 8g daviesdm:~/work/spark$ bin/pyspark >>> quit daviesdm:~/work/spark$ jps 4931 Jps 286 daviesdm:~/work/spark$ python wc.py 943738 0.719928026199 daviesdm:~/work/spark$ jps 286 4990 Jps ``` Author: Davies Liu <davies@databricks.com> Closes #3274 from davies/exit and squashes the following commits: df0e524 [Davies Liu] address comments ce8599c [Davies Liu] address comments 050651f [Davies Liu] JVM should exit after Python exit
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WangTao authored
...ess ends https://issues.apache.org/jira/browse/SPARK-4404 When we have spark.driver.extra* or spark.driver.memory in SPARK_SUBMIT_PROPERTIES_FILE, spark-class will use SparkSubmitDriverBootstrapper to launch driver. If we get process id of SparkSubmitDriverBootstrapper and wanna kill it during its running, we expect its SparkSubmit sub-process stop also. Author: WangTao <barneystinson@aliyun.com> Author: WangTaoTheTonic <barneystinson@aliyun.com> Closes #3266 from WangTaoTheTonic/killsubmit and squashes the following commits: e03eba5 [WangTaoTheTonic] add comments 57b5ca1 [WangTao] SparkSubmitDriverBootstrapper should stop after its SparkSubmit sub-process ends
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Sandy Ryza authored
... executors than pending tasks need. WIP. Still need to add and fix tests. Author: Sandy Ryza <sandy@cloudera.com> Closes #3204 from sryza/sandy-spark-4214 and squashes the following commits: 35cf0e0 [Sandy Ryza] Add comment 13b53df [Sandy Ryza] Review feedback 067465f [Sandy Ryza] Whitespace fix 6ae080c [Sandy Ryza] Add tests and get num pending tasks from ExecutorAllocationListener 531e2b6 [Sandy Ryza] SPARK-4214. With dynamic allocation, avoid outstanding requests for more executors than pending tasks need.
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Jim Carroll authored
The Spark ParquetRelation.scala code makes the assumption that the parquet.Log class has already been loaded. If ParquetRelation.enableLogForwarding executes prior to the parquet.Log class being loaded then the code in enableLogForwarding has no affect. ParquetRelation.scala attempts to override the parquet logger but, at least currently (and if your application simply reads a parquet file before it does anything else with Parquet), the parquet.Log class hasn't been loaded yet. Therefore the code in ParquetRelation.enableLogForwarding has no affect. If you look at the code in parquet.Log there's a static initializer that needs to be called prior to enableLogForwarding or whatever enableLogForwarding does gets undone by this static initializer. The "fix" would be to force the static initializer to get called in parquet.Log as part of enableForwardLogging. Author: Jim Carroll <jim@dontcallme.com> Closes #3271 from jimfcarroll/parquet-logging and squashes the following commits: 37bdff7 [Jim Carroll] Fix Spark's control of Parquet logging.
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Yash Datta authored
Since parquet library has been updated , we no longer need to filter the records returned from parquet library for null records , as now the library skips those : from parquet-hadoop/src/main/java/parquet/hadoop/InternalParquetRecordReader.java public boolean nextKeyValue() throws IOException, InterruptedException { boolean recordFound = false; while (!recordFound) { // no more records left if (current >= total) { return false; } try { checkRead(); currentValue = recordReader.read(); current ++; if (recordReader.shouldSkipCurrentRecord()) { // this record is being filtered via the filter2 package if (DEBUG) LOG.debug("skipping record"); continue; } if (currentValue == null) { // only happens with FilteredRecordReader at end of block current = totalCountLoadedSoFar; if (DEBUG) LOG.debug("filtered record reader reached end of block"); continue; } recordFound = true; if (DEBUG) LOG.debug("read value: " + currentValue); } catch (RuntimeException e) { throw new ParquetDecodingException(format("Can not read value at %d in block %d in file %s", current, currentBlock, file), e); } } return true; } Author: Yash Datta <Yash.Datta@guavus.com> Closes #3229 from saucam/remove_filter and squashes the following commits: 8909ae9 [Yash Datta] SPARK-4365: Remove unnecessary filter call on records returned from parquet library
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Jim Carroll authored
If you profile the writing of a Parquet file, the single worst time consuming call inside of org.apache.spark.sql.parquet.MutableRowWriteSupport.write is actually in the scala.collection.AbstractSequence.size call. This is because the size call actually ends up COUNTING the elements in a scala.collection.LinearSeqOptimized.length ("optimized?"). This doesn't need to be done. "size" is called repeatedly where needed rather than called once at the top of the method and stored in a 'val'. Author: Jim Carroll <jim@dontcallme.com> Closes #3254 from jimfcarroll/parquet-perf and squashes the following commits: 30cc0b5 [Jim Carroll] Improve performance when writing Parquet files.
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