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* [SPARK-7483][MLLIB] Upgrade Chill to 0.7.2 to support Kryo with FPGrowthmark8002016-02-275-10/+10
| | | | | | | | | | It registers more Scala classes, including ListBuffer to support Kryo with FPGrowth. See https://github.com/twitter/chill/releases for Chill's change log. Author: mark800 <yky800@126.com> Closes #11041 from mark800/master.
* [SPARK-13324][CORE][BUILD] Update plugin, test, example dependencies for 2.xSean Owen2016-02-175-20/+20
| | | | | | | | Phase 1: update plugin versions, test dependencies, some example and third-party versions Author: Sean Owen <sowen@cloudera.com> Closes #11206 from srowen/SPARK-13324.
* [SPARK-6363][BUILD] Make Scala 2.11 the default Scala versionJosh Rosen2016-01-305-80/+75
| | | | | | | | | | | | This patch changes Spark's build to make Scala 2.11 the default Scala version. To be clear, this does not mean that Spark will stop supporting Scala 2.10: users will still be able to compile Spark for Scala 2.10 by following the instructions on the "Building Spark" page; however, it does mean that Scala 2.11 will be the default Scala version used by our CI builds (including pull request builds). The Scala 2.11 compiler is faster than 2.10, so I think we'll be able to look forward to a slight speedup in our CI builds (it looks like it's about 2X faster for the Maven compile-only builds, for instance). After this patch is merged, I'll update Jenkins to add new compile-only jobs to ensure that Scala 2.10 compilation doesn't break. Author: Josh Rosen <joshrosen@databricks.com> Closes #10608 from JoshRosen/SPARK-6363.
* [SPARK-7997][CORE] Remove Akka from Spark Core and StreamingShixiong Zhu2016-01-225-25/+0
| | | | | | | | | | | | - Remove Akka dependency from core. Note: the streaming-akka project still uses Akka. - Remove HttpFileServer - Remove Akka configs from SparkConf and SSLOptions - Rename `spark.akka.frameSize` to `spark.rpc.message.maxSize`. I think it's still worth to keep this config because using `DirectTaskResult` or `IndirectTaskResult` depends on it. - Update comments and docs Author: Shixiong Zhu <shixiong@databricks.com> Closes #10854 from zsxwing/remove-akka.
* [SPARK-12842][TEST-HADOOP2.7] Add Hadoop 2.7 build profileJosh Rosen2016-01-151-0/+188
| | | | | | | | | | This patch adds a Hadoop 2.7 build profile in order to let us automate tests against that version. /cc rxin srowen Author: Josh Rosen <joshrosen@databricks.com> Closes #10775 from JoshRosen/add-hadoop-2.7-profile.
* [SPARK-12667] Remove block manager's internal "external block store" APIReynold Xin2016-01-154-17/+1
| | | | | | | | | | This pull request removes the external block store API. This is rarely used, and the file system interface is actually a better, more standard way to interact with external storage systems. There are some other things to remove also, as pointed out by JoshRosen. We will do those as follow-up pull requests. Author: Reynold Xin <rxin@databricks.com> Closes #10752 from rxin/remove-offheap.
* [SPARK-12833][SQL] Initial import of spark-csvHossein2016-01-154-0/+4
| | | | | | | | | | | CSV is the most common data format in the "small data" world. It is often the first format people want to try when they see Spark on a single node. Having to rely on a 3rd party component for this leads to poor user experience for new users. This PR merges the popular spark-csv data source package (https://github.com/databricks/spark-csv) with SparkSQL. This is a first PR to bring the functionality to spark 2.0 master. We will complete items outlines in the design document (see JIRA attachment) in follow up pull requests. Author: Hossein <hossein@databricks.com> Author: Reynold Xin <rxin@databricks.com> Closes #10766 from rxin/csv.
* [SPARK-12652][PYSPARK] Upgrade Py4J to 0.9.1Shixiong Zhu2016-01-124-4/+4
| | | | | | | | | | | | - [x] Upgrade Py4J to 0.9.1 - [x] SPARK-12657: Revert SPARK-12617 - [x] SPARK-12658: Revert SPARK-12511 - Still keep the change that only reading checkpoint once. This is a manual change and worth to take a look carefully. https://github.com/zsxwing/spark/commit/bfd4b5c040eb29394c3132af3c670b1a7272457c - [x] Verify no leak any more after reverting our workarounds Author: Shixiong Zhu <shixiong@databricks.com> Closes #10692 from zsxwing/py4j-0.9.1.
* [SPARK-12269][STREAMING][KINESIS] Update aws-java-sdk versionBrianLondon2016-01-114-16/+16
| | | | | | | | The current Spark Streaming kinesis connector references a quite old version 1.9.40 of the AWS Java SDK (1.10.40 is current). Numerous AWS features including Kinesis Firehose are unavailable in 1.9. Those two versions of the AWS SDK in turn require conflicting versions of Jackson (2.4.4 and 2.5.3 respectively) such that one cannot include the current AWS SDK in a project that also uses the Spark Streaming Kinesis ASL. Author: BrianLondon <brian@seatgeek.com> Closes #10256 from BrianLondon/master.
* [SPARK-12734][HOTFIX][TEST-MAVEN] Fix bug in Netty exclusionsJosh Rosen2016-01-114-0/+4
| | | | | | | | | | This is a hotfix for a build bug introduced by the Netty exclusion changes in #10672. We can't exclude `io.netty:netty` because Akka depends on it. There's not a direct conflict between `io.netty:netty` and `io.netty:netty-all`, because the former puts classes in the `org.jboss.netty` namespace while the latter uses the `io.netty` namespace. However, there still is a conflict between `org.jboss.netty:netty` and `io.netty:netty`, so we need to continue to exclude the JBoss version of that artifact. While the diff here looks somewhat large, note that this is only a revert of a some of the changes from #10672. You can see the net changes in pom.xml at https://github.com/apache/spark/compare/3119206b7188c23055621dfeaf6874f21c711a82...5211ab8#diff-600376dffeb79835ede4a0b285078036 Author: Josh Rosen <joshrosen@databricks.com> Closes #10693 from JoshRosen/netty-hotfix.
* [SPARK-12734][BUILD] Fix Netty exclusion and use Maven Enforcer to prevent ↵Josh Rosen2016-01-104-4/+0
| | | | | | | | | | | | | | | future bugs Netty classes are published under multiple artifacts with different names, so our build needs to exclude the `io.netty:netty` and `org.jboss.netty:netty` versions of the Netty artifact. However, our existing exclusions were incomplete, leading to situations where duplicate Netty classes would wind up on the classpath and cause compile errors (or worse). This patch fixes the exclusion issue by adding more exclusions and uses Maven Enforcer's [banned dependencies](https://maven.apache.org/enforcer/enforcer-rules/bannedDependencies.html) rule to prevent these classes from accidentally being reintroduced. I also updated `dev/test-dependencies.sh` to run `mvn validate` so that the enforcer rules can run as part of pull request builds. /cc rxin srowen pwendell. I'd like to backport at least the exclusion portion of this fix to `branch-1.5` in order to fix the documentation publishing job, which fails nondeterministically due to incompatible versions of Netty classes taking precedence on the compile-time classpath. Author: Josh Rosen <rosenville@gmail.com> Author: Josh Rosen <joshrosen@databricks.com> Closes #10672 from JoshRosen/enforce-netty-exclusions.
* [SPARK-12573][SPARK-12574][SQL] Move SQL Parser from Hive to CatalystHerman van Hovell2016-01-064-12/+4
| | | | | | | | | | | | | | | | | This PR moves a major part of the new SQL parser to Catalyst. This is a prelude to start using this parser for all of our SQL parsing. The following key changes have been made: The ANTLR Parser & Supporting classes have been moved to the Catalyst project. They are now part of the ```org.apache.spark.sql.catalyst.parser``` package. These classes contained quite a bit of code that was originally from the Hive project, I have added aknowledgements whenever this applied. All Hive dependencies have been factored out. I have also taken this chance to clean-up the ```ASTNode``` class, and to improve the error handling. The HiveQl object that provides the functionality to convert an AST into a LogicalPlan has been refactored into three different classes, one for every SQL sub-project: - ```CatalystQl```: This implements Query and Expression parsing functionality. - ```SparkQl```: This is a subclass of CatalystQL and provides SQL/Core only functionality such as Explain and Describe. - ```HiveQl```: This is a subclass of ```SparkQl``` and this adds Hive-only functionality to the parser such as Analyze, Drop, Views, CTAS & Transforms. This class still depends on Hive. cc rxin Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #10583 from hvanhovell/SPARK-12575.
* [SPARK-12612][PROJECT-INFRA] Add missing Hadoop profiles to ↵Josh Rosen2016-01-032-0/+385
| | | | | | | | | | | | dev/run-tests-*.py scripts and dev/deps There are a couple of places in the `dev/run-tests-*.py` scripts which deal with Hadoop profiles, but the set of profiles that they handle does not include all Hadoop profiles defined in our POM. Similarly, the `hadoop-2.2` and `hadoop-2.6` profiles were missing from `dev/deps`. This patch updates these scripts to include all four Hadoop profiles defined in our POM. Author: Josh Rosen <joshrosen@databricks.com> Closes #10565 from JoshRosen/add-missing-hadoop-profiles-in-test-scripts.
* [SPARK-10359] Enumerate dependencies in a file and diff against it for new ↵Josh Rosen2015-12-302-0/+369
pull requests This patch adds a new build check which enumerates Spark's resolved runtime classpath and saves it to a file, then diffs against that file to detect whether pull requests have introduced dependency changes. The aim of this check is to make it simpler to reason about whether pull request which modify the build have introduced new dependencies or changed transitive dependencies in a way that affects the final classpath. This supplants the checks added in SPARK-4123 / #5093, which are currently disabled due to bugs. This patch is based on pwendell's work in #8531. Closes #8531. Author: Josh Rosen <joshrosen@databricks.com> Author: Patrick Wendell <patrick@databricks.com> Closes #10461 from JoshRosen/SPARK-10359.
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