- Jan 10, 2016
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Kousuke Saruta authored
Fix the style violation (space before , and :). This PR is a followup for #10643. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #10684 from sarutak/SPARK-12692-followup-mllib.
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Jacek Laskowski authored
…o NoClassDefFoundError: org/spark-project/guava/collect/Maps /cc srowen rxin Author: Jacek Laskowski <jacek@japila.pl> Closes #10674 from jaceklaskowski/SPARK-12736.
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- Jan 09, 2016
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Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #10673 from rxin/SPARK-12735.
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Reynold Xin authored
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Reynold Xin authored
This is a follow-up for the original patch #10562. Author: Reynold Xin <rxin@databricks.com> Closes #10670 from rxin/SPARK-12340.
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Yanbo Liang authored
Add ```hash``` function for SparkR ```DataFrame```. Author: Yanbo Liang <ybliang8@gmail.com> Closes #10597 from yanboliang/spark-12645.
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- Jan 08, 2016
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Liang-Chi Hsieh authored
[SPARK-12577] [SQL] Better support of parentheses in partition by and order by clause of window function's over clause JIRA: https://issues.apache.org/jira/browse/SPARK-12577 Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #10620 from viirya/fix-parentheses.
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Josh Rosen authored
This patch removes all non-Maven-central repositories from Spark's build, thereby avoiding any risk of future build-breaks due to us accidentally depending on an artifact which is not present in an immutable public Maven repository. I tested this by running ``` build/mvn \ -Phive \ -Phive-thriftserver \ -Pkinesis-asl \ -Pspark-ganglia-lgpl \ -Pyarn \ dependency:go-offline ``` inside of a fresh Ubuntu Docker container with no Ivy or Maven caches (I did a similar test for SBT). Author: Josh Rosen <joshrosen@databricks.com> Closes #10659 from JoshRosen/SPARK-4628. -
Josh Rosen authored
This patch deduplicates some test code in BlockManagerSuite. I'm splitting this change off from a larger PR in order to make things easier to review. Author: Josh Rosen <joshrosen@databricks.com> Closes #10667 from JoshRosen/block-mgr-tests-cleanup.
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Cheng Lian authored
This PR tries to enable Spark SQL to convert resolved logical plans back to SQL query strings. For now, the major use case is to canonicalize Spark SQL native view support. The major entry point is `SQLBuilder.toSQL`, which returns an `Option[String]` if the logical plan is recognized. The current version is still in WIP status, and is quite limited. Known limitations include: 1. The logical plan must be analyzed but not optimized The optimizer erases `Subquery` operators, which contain necessary scope information for SQL generation. Future versions should be able to recover erased scope information by inserting subqueries when necessary. 1. The logical plan must be created using HiveQL query string Query plans generated by composing arbitrary DataFrame API combinations are not supported yet. Operators within these query plans need to be rearranged into a canonical form that is more suitable for direct SQL generation. For example, the following query plan ``` Filter (a#1 < 10) +- MetastoreRelation default, src, None ``` need to be canonicalized into the following form before SQL generation: ``` Project [a#1, b#2, c#3] +- Filter (a#1 < 10) +- MetastoreRelation default, src, None ``` Otherwise, the SQL generation process will have to handle a large number of special cases. 1. Only a fraction of expressions and basic logical plan operators are supported in this PR Currently, 95.7% (1720 out of 1798) query plans in `HiveCompatibilitySuite` can be successfully converted to SQL query strings. Known unsupported components are: - Expressions - Part of math expressions - Part of string expressions (buggy?) - Null expressions - Calendar interval literal - Part of date time expressions - Complex type creators - Special `NOT` expressions, e.g. `NOT LIKE` and `NOT IN` - Logical plan operators/patterns - Cube, rollup, and grouping set - Script transformation - Generator - Distinct aggregation patterns that fit `DistinctAggregationRewriter` analysis rule - Window functions Support for window functions, generators, and cubes etc. will be added in follow-up PRs. This PR leverages `HiveCompatibilitySuite` for testing SQL generation in a "round-trip" manner: * For all select queries, we try to convert it back to SQL * If the query plan is convertible, we parse the generated SQL into a new logical plan * Run the new logical plan instead of the original one If the query plan is inconvertible, the test case simply falls back to the original logic. TODO - [x] Fix failed test cases - [x] Support for more basic expressions and logical plan operators (e.g. distinct aggregation etc.) - [x] Comments and documentation Author: Cheng Lian <lian@databricks.com> Closes #10541 from liancheng/sql-generation. -
Sean Owen authored
Replace Guava `Optional` with (an API clone of) Java 8 `java.util.Optional` (edit: and a clone of Guava `Optional`) See also https://github.com/apache/spark/pull/10512 Author: Sean Owen <sowen@cloudera.com> Closes #10513 from srowen/SPARK-4819.
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Thomas Graves authored
…s on secure Hadoop https://issues.apache.org/jira/browse/SPARK-12654 So the bug here is that WholeTextFileRDD.getPartitions has: val conf = getConf in getConf if the cloneConf=true it creates a new Hadoop Configuration. Then it uses that to create a new newJobContext. The newJobContext will copy credentials around, but credentials are only present in a JobConf not in a Hadoop Configuration. So basically when it is cloning the hadoop configuration its changing it from a JobConf to Configuration and dropping the credentials that were there. NewHadoopRDD just uses the conf passed in for the getPartitions (not getConf) which is why it works. Author: Thomas Graves <tgraves@staydecay.corp.gq1.yahoo.com> Closes #10651 from tgravescs/SPARK-12654.
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Udo Klein authored
Author: Udo Klein <git@blinkenlight.net> Closes #10642 from udoklein/patch-2.
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Jeff Zhang authored
spark.shuffle.service.enabled is spark application related configuration, it is not necessary to set it in yarn-site.xml Author: Jeff Zhang <zjffdu@apache.org> Closes #10657 from zjffdu/doc-fix.
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Bryan Cutler authored
Changed Logging FileAppender to use join in `awaitTermination` to ensure that thread is properly finished before returning. Author: Bryan Cutler <cutlerb@gmail.com> Closes #10654 from BryanCutler/fileAppender-join-thread-SPARK-12701.
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Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-12687 Some queries such as `(select 1 as a) union (select 2 as a)` can't work. This patch fixes it. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #10660 from viirya/fix-union.
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Sean Owen authored
Fix most build warnings: mostly deprecated API usages. I'll annotate some of the changes below. CC rxin who is leading the charge to remove the deprecated APIs. Author: Sean Owen <sowen@cloudera.com> Closes #10570 from srowen/SPARK-12618.
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Kousuke Saruta authored
We should not put a white space before `,` and `:` so let's check it. Because there are lots of style violations, first, I'd like to add a checker, enable and let the level `warning`. Then, I'd like to fix the style step by step. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #10643 from sarutak/SPARK-12692.
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- Jan 07, 2016
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Reynold Xin authored
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Kevin Yu authored
This PR is continue from previous closed PR 10314. In this PR, SHUFFLE_TARGET_POSTSHUFFLE_INPUT_SIZE will be taken memory string conventions as input. For example, the user can now specify 10g for SHUFFLE_TARGET_POSTSHUFFLE_INPUT_SIZE in SQLConf file. marmbrus srowen : Can you help review this code changes ? Thanks. Author: Kevin Yu <qyu@us.ibm.com> Closes #10629 from kevinyu98/spark-12317.
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Shixiong Zhu authored
The default serializer in Kryo is FieldSerializer and it ignores transient fields and never calls `writeObject` or `readObject`. So we should register OpenHashMapBasedStateMap using `DefaultSerializer` to make it work with Kryo. Author: Shixiong Zhu <shixiong@databricks.com> Closes #10609 from zsxwing/SPARK-12591.
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Shixiong Zhu authored
[SPARK-12507][STREAMING][DOCUMENT] Expose closeFileAfterWrite and allowBatching configurations for Streaming /cc tdas brkyvz Author: Shixiong Zhu <shixiong@databricks.com> Closes #10453 from zsxwing/streaming-conf.
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Sean Owen authored
Per rxin, let's use the casting for countByKey and countByValue as well. Let's see if this passes. Author: Sean Owen <sowen@cloudera.com> Closes #10641 from srowen/SPARK-12604.2.
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Shixiong Zhu authored
This PR includes the following changes: 1. Rename `ActorReceiver` to `ActorReceiverSupervisor` 2. Remove `ActorHelper` 3. Add a new `ActorReceiver` for Scala and `JavaActorReceiver` for Java 4. Add `JavaActorWordCount` example Author: Shixiong Zhu <shixiong@databricks.com> Closes #10457 from zsxwing/java-actor-stream.
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Kazuaki Ishizaki authored
Use multi-line string literals for ExpressionDescription with ``// scalastyle:off line.size.limit`` and ``// scalastyle:on line.size.limit`` The policy is here, as describe at https://github.com/apache/spark/pull/10488 Let's use multi-line string literals. If we have to have a line with more than 100 characters, let's use ``// scalastyle:off line.size.limit`` and ``// scalastyle:on line.size.limit`` to just bypass the line number requirement. Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com> Closes #10524 from kiszk/SPARK-12580.
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Darek Blasiak authored
There is a bug in the calculation of ```maxSplitSize```. The ```totalLen``` should be divided by ```minPartitions``` and not by ```files.size```. Author: Darek Blasiak <darek.blasiak@640labs.com> Closes #10546 from datafarmer/setminpartitionsbug.
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Jacek Laskowski authored
…mprovements Please review and merge at your convenience. Thanks! Author: Jacek Laskowski <jacek@japila.pl> Closes #10595 from jaceklaskowski/streaming-minor-fixes.
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Jacek Laskowski authored
It was introduced in 917d3fc0 /cc cloud-fan rxin Author: Jacek Laskowski <jacek@japila.pl> Closes #10636 from jaceklaskowski/fix-for-build-failure-2.11.
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Sameer Agarwal authored
https://issues.apache.org/jira/browse/SPARK-12662 cc yhuai Author: Sameer Agarwal <sameer@databricks.com> Closes #10626 from sameeragarwal/randomsplit.
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zero323 authored
If initial model passed to GMM is not empty it causes net.razorvine.pickle.PickleException. It can be fixed by converting initialModel.weights to list. Author: zero323 <matthew.szymkiewicz@gmail.com> Closes #10644 from zero323/SPARK-12006.
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Jacek Laskowski authored
Author: Jacek Laskowski <jacek@japila.pl> Closes #10603 from jaceklaskowski/streaming-actor-custom-receiver.
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Davies Liu authored
Parse the SQL query with except/intersect in FROM clause for HivQL. Author: Davies Liu <davies@databricks.com> Closes #10622 from davies/intersect.
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Davies Liu authored
This PR manage the memory used by window functions (buffered rows), also enable external spilling. After this PR, we can run window functions on a partition with hundreds of millions of rows with only 1G. Author: Davies Liu <davies@databricks.com> Closes #10605 from davies/unsafe_window.
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zzcclp authored
modify 'spark.memory.offHeap.enabled' default value to false Author: zzcclp <xm_zzc@sina.com> Closes #10633 from zzcclp/fix_spark.memory.offHeap.enabled_default_value.
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- Jan 06, 2016
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Guillaume Poulin authored
MapPartitionsRDD was keeping a reference to `prev` after a call to `clearDependencies` which could lead to memory leak. Author: Guillaume Poulin <poulin.guillaume@gmail.com> Closes #10623 from gpoulin/map_partition_deps.
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jerryshao authored
Otherwise the url will be failed to proxy to the right one if in YARN mode. Here is the screenshot:  Author: jerryshao <sshao@hortonworks.com> Closes #10618 from jerryshao/SPARK-12673.
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Josh Rosen authored
This PR removes `spark.cleaner.ttl` and the associated TTL-based metadata cleaning code. Now that we have the `ContextCleaner` and a timer to trigger periodic GCs, I don't think that `spark.cleaner.ttl` is necessary anymore. The TTL-based cleaning isn't enabled by default, isn't included in our end-to-end tests, and has been a source of user confusion when it is misconfigured. If the TTL is set too low, data which is still being used may be evicted / deleted, leading to hard to diagnose bugs. For all of these reasons, I think that we should remove this functionality in Spark 2.0. Additional benefits of doing this include marginally reduced memory usage, since we no longer need to store timetsamps in hashmaps, and a handful fewer threads. Author: Josh Rosen <joshrosen@databricks.com> Closes #10534 from JoshRosen/remove-ttl-based-cleaning.
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Robert Dodier authored
This PR contains 1 commit which resolves [SPARK-12663](https://issues.apache.org/jira/browse/SPARK-12663). For the record, I got a positive response from 2 people when I floated this idea on devspark.apache.org on 2015-10-23. [Link to archived discussion.](http://apache-spark-developers-list.1001551.n3.nabble.com/slightly-more-informative-error-message-in-MLUtils-loadLibSVMFile-td14764.html) Author: Robert Dodier <robert_dodier@users.sourceforge.net> Closes #10611 from robert-dodier/loadlibsvmfile-error-msg-branch.
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Nong Li authored
[SPARK-12640][SQL] Add simple benchmarking utility class and add Parquet scan benchmarks. We've run benchmarks ad hoc to measure the scanner performance. We will continue to invest in this and it makes sense to get these benchmarks into code. This adds a simple benchmarking utility to do this. Author: Nong Li <nong@databricks.com> Author: Nong <nongli@gmail.com> Closes #10589 from nongli/spark-12640.
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