## What changes were proposed in this pull request?
Point references to spark-packages.org to https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects
This will be accompanied by a parallel change to the spark-website repo, and additional changes to this wiki.
## How was this patch tested?
Jenkins tests.
Author: Sean Owen <sowen@cloudera.com>
Closes#15075 from srowen/SPARK-17445.
## What changes were proposed in this pull request?
The relation between spark.network.timeout and spark.executor.heartbeatInterval should be mentioned in the document.
… network timeout]
Author: Jagadeesan <as2@us.ibm.com>
Closes#15042 from jagadeesanas2/SPARK-17449.
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
Streaming doc correction.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Author: Satendra Kumar <satendra@knoldus.com>
Closes#14996 from satendrakumar06/patch-1.
## What changes were proposed in this pull request?
This pull request adds the functionality to enable accessing worker and application UI through master UI itself. Thus helps in accessing SparkUI when running spark cluster in closed networks e.g. Kubernetes. Cluster admin needs to expose only spark master UI and rest of the UIs can be in the private network, master UI will reverse proxy the connection request to corresponding resource. It adds the path for workers/application UIs as
WorkerUI: <http/https>://master-publicIP:<port>/target/workerID/
ApplicationUI: <http/https>://master-publicIP:<port>/target/appID/
This makes it easy for users to easily protect the Spark master cluster access by putting some reverse proxy e.g. https://github.com/bitly/oauth2_proxy
## How was this patch tested?
The functionality has been tested manually and there is a unit test too for testing access to worker UI with reverse proxy address.
pwendell bomeng BryanCutler can you please review it, thanks.
Author: Gurvinder Singh <gurvinder.singh@uninett.no>
Closes#13950 from gurvindersingh/rproxy.
After change [SPARK-16405](https://github.com/apache/spark/pull/14080), we need to update docs by adding shuffle service metrics entry in currently supporting metrics list.
Author: Yangyang Liu <yangyangliu@fb.com>
Closes#14254 from lovexi/yangyang-monitoring-doc.
## What changes were proposed in this pull request?
Avoid allocating some 0-length arrays, esp. in UTF8String, and by using Array.empty in Scala over Array[T]()
## How was this patch tested?
Jenkins
Author: Sean Owen <sowen@cloudera.com>
Closes#14895 from srowen/SPARK-17331.
## What changes were proposed in this pull request?
Allow user to set sparkr shell command through --conf spark.r.shell.command
## How was this patch tested?
Unit test is added and also verify it manually through
```
bin/sparkr --master yarn-client --conf spark.r.shell.command=/usr/local/bin/R
```
Author: Jeff Zhang <zjffdu@apache.org>
Closes#14744 from zjffdu/SPARK-17178.
## What changes were proposed in this pull request?
With the new History Server the summary page loads the application list via the the REST API, this makes it very slow to impossible to load with large (10K+) application history. This pr fixes this by adding the `spark.history.ui.maxApplications` conf to limit the number of applications the History Server displays. This is accomplished using a new optional `limit` param for the `applications` api. (Note this only applies to what the summary page displays, all the Application UI's are still accessible if the user knows the App ID and goes to the Application UI directly.)
I've also added a new test for the `limit` param in `HistoryServerSuite.scala`
## How was this patch tested?
Manual testing and dev/run-tests
Author: Alex Bozarth <ajbozart@us.ibm.com>
Closes#14835 from ajbozarth/spark17243.
This patch is using Apache Commons Crypto library to enable shuffle encryption support.
Author: Ferdinand Xu <cheng.a.xu@intel.com>
Author: kellyzly <kellyzly@126.com>
Closes#8880 from winningsix/SPARK-10771.
## What changes were proposed in this pull request?
Fix minor typos python example code in streaming programming guide
## How was this patch tested?
N/A
Author: Dmitriy Sokolov <silentsokolov@gmail.com>
Closes#14805 from silentsokolov/fix-typos.
## What changes were proposed in this pull request?
Allow centering / mean scaling of sparse vectors in StandardScaler, if requested. This is for compatibility with `VectorAssembler` in common usages.
## How was this patch tested?
Jenkins tests, including new caes to reflect the new behavior.
Author: Sean Owen <sowen@cloudera.com>
Closes#14663 from srowen/SPARK-17001.
## What changes were proposed in this pull request?
Move Mesos code into a mvn module
## How was this patch tested?
unit tests
manually submitting a client mode and cluster mode job
spark/mesos integration test suite
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#14637 from mgummelt/mesos-module.
## What changes were proposed in this pull request?
Updated links of external dstream projects.
## How was this patch tested?
Just document changes.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#14814 from zsxwing/dstream-link.
## What changes were proposed in this pull request?
Based on #12990 by tankkyo
Since the History Server currently loads all application's data it can OOM if too many applications have a significant task count. `spark.ui.trimTasks` (default: false) can be set to true to trim tasks by `spark.ui.retainedTasks` (default: 10000)
(This is a "quick fix" to help those running into the problem until a update of how the history server loads app data can be done)
## How was this patch tested?
Manual testing and dev/run-tests
Author: Alex Bozarth <ajbozart@us.ibm.com>
Closes#14673 from ajbozarth/spark15083.
## What changes were proposed in this pull request?
Collect GC discussion in one section, and documenting findings about G1 GC heap region size.
## How was this patch tested?
Jekyll doc build
Author: Sean Owen <sowen@cloudera.com>
Closes#14732 from srowen/SPARK-16320.
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
This is the document for previous JDBC Writer options.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
Unit test has been added in previous PR.
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Author: GraceH <jhuang1@paypal.com>
Closes#14683 from GraceH/jdbc_options.
## What changes were proposed in this pull request?
`spark.ssl.enabled`=true, but failing to set `spark.ssl.protocol` will fail and throw meaningless exception. `spark.ssl.protocol` is required when `spark.ssl.enabled`.
Improvement: require `spark.ssl.protocol` when initializing SSLContext, otherwise throws an exception to indicate that.
Remove the OrElse("default").
Document this requirement in configure.md
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
Manual tests:
Build document and check document
Configure `spark.ssl.enabled` only, it throws exception below:
6/08/16 16:04:37 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(mwang); groups with view permissions: Set(); users with modify permissions: Set(mwang); groups with modify permissions: Set()
Exception in thread "main" java.lang.IllegalArgumentException: requirement failed: spark.ssl.protocol is required when enabling SSL connections.
at scala.Predef$.require(Predef.scala:224)
at org.apache.spark.SecurityManager.<init>(SecurityManager.scala:285)
at org.apache.spark.deploy.master.Master$.startRpcEnvAndEndpoint(Master.scala:1026)
at org.apache.spark.deploy.master.Master$.main(Master.scala:1011)
at org.apache.spark.deploy.master.Master.main(Master.scala)
Configure `spark.ssl.protocol` and `spark.ssl.protocol`
It works fine.
Author: wm624@hotmail.com <wm624@hotmail.com>
Closes#14674 from wangmiao1981/ssl.
## What changes were proposed in this pull request?
- adds documentation for https://issues.apache.org/jira/browse/SPARK-11714
## How was this patch tested?
Doc no test needed.
Author: Stavros Kontopoulos <stavros.kontopoulos@lightbend.com>
Closes#14667 from skonto/add_doc.
## What changes were proposed in this pull request?
Remove the api doc link for mapReduceTriplets operator because in latest api they are remove so when user link to that api they will not get mapReduceTriplets there so its more good to remove than confuse the user.
## How was this patch tested?
Run all the test cases
Author: sandy <phalodi@gmail.com>
Closes#14669 from phalodi/SPARK-17089.
## What changes were proposed in this pull request?
As README.md file is updated over time. Some code snippet outputs are not correct based on new README.md file. For example:
```
scala> textFile.count()
res0: Long = 126
```
should be
```
scala> textFile.count()
res0: Long = 99
```
This pr is to add comments to point out this problem so that new spark learners have a correct reference.
Also, fixed a samll bug, inside current documentation, the outputs of linesWithSpark.count() without and with cache are different (one is 15 and the other is 19)
```
scala> val linesWithSpark = textFile.filter(line => line.contains("Spark"))
linesWithSpark: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[2] at filter at <console>:27
scala> textFile.filter(line => line.contains("Spark")).count() // How many lines contain "Spark"?
res3: Long = 15
...
scala> linesWithSpark.cache()
res7: linesWithSpark.type = MapPartitionsRDD[2] at filter at <console>:27
scala> linesWithSpark.count()
res8: Long = 19
```
## How was this patch tested?
manual test: run `$ SKIP_API=1 jekyll serve --watch`
Author: linbojin <linbojin203@gmail.com>
Closes#14645 from linbojin/quick-start-documentation.
## What changes were proposed in this pull request?
When documentation is built is should reference examples from the same build. There are times when the docs have links that point to files in the GitHub head which may not be valid on the current release. Changed that in URLs to make them point to the right tag in git using ```SPARK_VERSION_SHORT```
…from its own release version] [Streaming programming guide]
Author: Jagadeesan <as2@us.ibm.com>
Closes#14596 from jagadeesanas2/SPARK-12370.
## What changes were proposed in this pull request?
The configuration doc lost the config option `spark.ui.enabled` (default value is `true`)
I think this option is important because many cases we would like to turn it off.
so I add it.
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#14604 from WeichenXu123/add_doc_param_spark_ui_enabled.
Before this PR, user have to export environment variable to specify the python of driver & executor which is not so convenient for users. This PR is trying to allow user to specify python through configuration "--pyspark-driver-python" & "--pyspark-executor-python"
Manually test in local & yarn mode for pyspark-shell and pyspark batch mode.
Author: Jeff Zhang <zjffdu@apache.org>
Closes#13146 from zjffdu/SPARK-13081.
## What changes were proposed in this pull request?
Originally this PR was based on #14491 but I realised that fixing examples are more sensible rather than comments.
This PR fixes three things below:
- Fix two wrong examples in `structured-streaming-programming-guide.md`. Loading via `read.load(..)` without `as` will be `Dataset<Row>` not `Dataset<String>` in Java.
- Fix indentation across `structured-streaming-programming-guide.md`. Python has 4 spaces and Scala and Java have double spaces. These are inconsistent across the examples.
- Fix `StructuredNetworkWordCountWindowed` and `StructuredNetworkWordCount` in Java and Scala to initially load `DataFrame` and `Dataset<Row>` to be consistent with the comments and some examples in `structured-streaming-programming-guide.md` and to match Scala and Java to Python one (Python one loads it as `DataFrame` initially).
## How was this patch tested?
N/A
Closes https://github.com/apache/spark/pull/14491
Author: hyukjinkwon <gurwls223@gmail.com>
Author: Ganesh Chand <ganeshchand@Ganeshs-MacBook-Pro-2.local>
Closes#14564 from HyukjinKwon/SPARK-16886.
Docs adjustment to:
- link to other relevant section of docs
- correct statement about the only value when actually other values are supported
Author: Andrew Ash <andrew@andrewash.com>
Closes#14581 from ash211/patch-10.
## What changes were proposed in this pull request?
change the remain percent to right one.
## How was this patch tested?
Manual review
Author: Tao Wang <wangtao111@huawei.com>
Closes#14591 from WangTaoTheTonic/patch-1.
## What changes were proposed in this pull request?
Add a configurable token manager for Spark on running on yarn.
### Current Problems ###
1. Supported token provider is hard-coded, currently only hdfs, hbase and hive are supported and it is impossible for user to add new token provider without code changes.
2. Also this problem exits in timely token renewer and updater.
### Changes In This Proposal ###
In this proposal, to address the problems mentioned above and make the current code more cleaner and easier to understand, mainly has 3 changes:
1. Abstract a `ServiceTokenProvider` as well as `ServiceTokenRenewable` interface for token provider. Each service wants to communicate with Spark through token way needs to implement this interface.
2. Provide a `ConfigurableTokenManager` to manage all the register token providers, also token renewer and updater. Also this class offers the API for other modules to obtain tokens, get renewal interval and so on.
3. Implement 3 built-in token providers `HDFSTokenProvider`, `HiveTokenProvider` and `HBaseTokenProvider` to keep the same semantics as supported today. Whether to load in these built-in token providers is controlled by configuration "spark.yarn.security.tokens.${service}.enabled", by default for all the built-in token providers are loaded.
### Behavior Changes ###
For the end user there's no behavior change, we still use the same configuration `spark.yarn.security.tokens.${service}.enabled` to decide which token provider is enabled (hbase or hive).
For user implemented token provider (assume the name of token provider is "test") needs to add into this class should have two configurations:
1. `spark.yarn.security.tokens.test.enabled` to true
2. `spark.yarn.security.tokens.test.class` to the full qualified class name.
So we still keep the same semantics as current code while add one new configuration.
### Current Status ###
- [x] token provider interface and management framework.
- [x] implement built-in token providers (hdfs, hbase, hive).
- [x] Coverage of unit test.
- [x] Integrated test with security cluster.
## How was this patch tested?
Unit test and integrated test.
Please suggest and review, any comment is greatly appreciated.
Author: jerryshao <sshao@hortonworks.com>
Closes#14065 from jerryshao/SPARK-16342.
## What changes were proposed in this pull request?
- enable setting default properties for all jobs submitted through the dispatcher [SPARK-16927]
- remove duplication of conf vars on cluster submitted jobs [SPARK-16923] (this is a small fix, so I'm including in the same PR)
## How was this patch tested?
mesos/spark integration test suite
manual testing
Author: Timothy Chen <tnachen@gmail.com>
Closes#14511 from mgummelt/override-props.
## What changes were proposed in this pull request?
This patch introduces a new configuration, `spark.deploy.maxExecutorRetries`, to let users configure an obscure behavior in the standalone master where the master will kill Spark applications which have experienced too many back-to-back executor failures. The current setting is a hardcoded constant (10); this patch replaces that with a new cluster-wide configuration.
**Background:** This application-killing was added in 6b5980da79 (from September 2012) and I believe that it was designed to prevent a faulty application whose executors could never launch from DOS'ing the Spark cluster via an infinite series of executor launch attempts. In a subsequent patch (#1360), this feature was refined to prevent applications which have running executors from being killed by this code path.
**Motivation for making this configurable:** Previously, if a Spark Standalone application experienced more than `ApplicationState.MAX_NUM_RETRY` executor failures and was left with no executors running then the Spark master would kill that application, but this behavior is problematic in environments where the Spark executors run on unstable infrastructure and can all simultaneously die. For instance, if your Spark driver runs on an on-demand EC2 instance while all workers run on ephemeral spot instances then it's possible for all executors to die at the same time while the driver stays alive. In this case, it may be desirable to keep the Spark application alive so that it can recover once new workers and executors are available. In order to accommodate this use-case, this patch modifies the Master to never kill faulty applications if `spark.deploy.maxExecutorRetries` is negative.
I'd like to merge this patch into master, branch-2.0, and branch-1.6.
## How was this patch tested?
I tested this manually using `spark-shell` and `local-cluster` mode. This is a tricky feature to unit test and historically this code has not changed very often, so I'd prefer to skip the additional effort of adding a testing framework and would rather rely on manual tests and review for now.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#14544 from JoshRosen/add-setting-for-max-executor-failures.
## What changes were proposed in this pull request?
Links the Spark Mesos Dispatcher UI to the history server UI
- adds spark.mesos.dispatcher.historyServer.url
- explicitly generates frameworkIDs for the launched drivers, so the dispatcher knows how to correlate drivers and frameworkIDs
## How was this patch tested?
manual testing
Author: Michael Gummelt <mgummelt@mesosphere.io>
Author: Sergiusz Urbaniak <sur@mesosphere.io>
Closes#14414 from mgummelt/history-server.
## What changes were proposed in this pull request?
Fix the broken links in the programming guide of the Graphx Migration and understanding closures
## How was this patch tested?
By running the test cases and checking the links.
Author: Shivansh <shiv4nsh@gmail.com>
Closes#14503 from shiv4nsh/SPARK-16911.
## What changes were proposed in this pull request?
default value for spark.sql.broadcastTimeout is 300s. and this property do not show in any docs of spark. so add "spark.sql.broadcastTimeout" into docs/sql-programming-guide.md to help people to how to fix this timeout error when it happenned
## How was this patch tested?
not need
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
…ide.md
JIRA_ID:SPARK-16870
Description:default value for spark.sql.broadcastTimeout is 300s. and this property do not show in any docs of spark. so add "spark.sql.broadcastTimeout" into docs/sql-programming-guide.md to help people to how to fix this timeout error when it happenned
Test:done
Author: keliang <keliang@cmss.chinamobile.com>
Closes#14477 from biglobster/keliang.
## What changes were proposed in this pull request?
In the programming guide, the accumulator section mixes up both the old and new APIs causing it to be confusing. This is not necessary for Scala, so all references to the old API are removed. For Java, it is somewhat fixed up except for the example of a custom accumulator because I don't think an API exists yet. Python has not currently implemented the new API.
## How was this patch tested?
built doc locally
Author: Bryan Cutler <cutlerb@gmail.com>
Closes#14516 from BryanCutler/fixup-accumulator-programming-guide-SPARK-15702.
## What changes were proposed in this pull request?
Doc for the Kafka 0.10 integration
## How was this patch tested?
Scala code examples were taken from my example repo, so hopefully they compile.
Author: cody koeninger <cody@koeninger.org>
Closes#14385 from koeninger/SPARK-16312.
## What changes were proposed in this pull request?
Shuffle fetch on large intermediate dataset is slow because the shuffle service open/close the index file for each shuffle fetch. This change introduces a cache for the index information so that we can avoid accessing the index files for each block fetch
## How was this patch tested?
Tested by running a job on the cluster and the shuffle read time was reduced by 50%.
Author: Sital Kedia <skedia@fb.com>
Closes#12944 from sitalkedia/shuffle_service.
## What changes were proposed in this pull request?
This PR makes various minor updates to examples of all language bindings to make sure they are consistent with each other. Some typos and missing parts (JDBC example in Scala/Java/Python) are also fixed.
## How was this patch tested?
Manually tested.
Author: Cheng Lian <lian@databricks.com>
Closes#14368 from liancheng/revise-examples.
## What changes were proposed in this pull request?
Fix the link at http://spark.apache.org/docs/latest/ml-guide.html.
## How was this patch tested?
None
Author: Sun Dapeng <sdp@apache.org>
Closes#14386 from sundapeng/doclink.
## What changes were proposed in this pull request?
New config var: spark.mesos.docker.containerizer={"mesos","docker" (default)}
This adds support for running docker containers via the Mesos unified containerizer: http://mesos.apache.org/documentation/latest/container-image/
The benefit is losing the dependency on `dockerd`, and all the costs which it incurs.
I've also updated the supported Mesos version to 0.28.2 for support of the required protobufs.
This is blocked on: https://github.com/apache/spark/pull/14167
## How was this patch tested?
- manually testing jobs submitted with both "mesos" and "docker" settings for the new config var.
- spark/mesos integration test suite
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#14275 from mgummelt/unified-containerizer.
## What changes were proposed in this pull request?
added missing keyword for java example
## How was this patch tested?
wasn't
Author: Bartek Wiśniewski <wedi@Ava.local>
Closes#14381 from wedi-dev/quickfix/missing_keyword.
## What changes were proposed in this pull request?
Adding a new property to SparkConf called spark.metrics.namespace that allows users to
set a custom namespace for executor and driver metrics in the metrics systems.
By default, the root namespace used for driver or executor metrics is
the value of `spark.app.id`. However, often times, users want to be able to track the metrics
across apps for driver and executor metrics, which is hard to do with application ID
(i.e. `spark.app.id`) since it changes with every invocation of the app. For such use cases,
users can set the `spark.metrics.namespace` property to another spark configuration key like
`spark.app.name` which is then used to populate the root namespace of the metrics system
(with the app name in our example). `spark.metrics.namespace` property can be set to any
arbitrary spark property key, whose value would be used to set the root namespace of the
metrics system. Non driver and executor metrics are never prefixed with `spark.app.id`, nor
does the `spark.metrics.namespace` property have any such affect on such metrics.
## How was this patch tested?
Added new unit tests, modified existing unit tests.
Author: Mark Grover <mark@apache.org>
Closes#14270 from markgrover/spark-5847.
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Mesos agents by default will not pull docker images which are cached
locally already. In order to run Spark executors from mutable tags like
`:latest` this commit introduces a Spark setting
(`spark.mesos.executor.docker.forcePullImage`). Setting this flag to
true will tell the Mesos agent to force pull the docker image (default is `false` which is consistent with the previous
implementation and Mesos' default
behaviour).
Author: Philipp Hoffmann <mail@philipphoffmann.de>
Closes#14348 from philipphoffmann/force-pull-image.
## What changes were proposed in this pull request?
Minor doc fix regarding the spark.speculation.quantile configuration parameter. It incorrectly states it should be a percentage, when it should be a fraction.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
I tried building the documentation but got some unidoc errors. I also got them when building off origin/master, so I don't think I caused that problem. I did run the web app and saw the changes reflected as expected.
Author: Nicholas Brown <nbrown@adroitdigital.com>
Closes#14352 from nwbvt/master.
## What changes were proposed in this pull request?
This pr is to fix a wrong description for parquet default compression.
Author: Takeshi YAMAMURO <linguin.m.s@gmail.com>
Closes#14351 from maropu/FixParquetDoc.
## What changes were proposed in this pull request?
Mesos agents by default will not pull docker images which are cached
locally already. In order to run Spark executors from mutable tags like
`:latest` this commit introduces a Spark setting
`spark.mesos.executor.docker.forcePullImage`. Setting this flag to
true will tell the Mesos agent to force pull the docker image (default is `false` which is consistent with the previous
implementation and Mesos' default
behaviour).
## How was this patch tested?
I ran a sample application including this change on a Mesos cluster and verified the correct behaviour for both, with and without, force pulling the executor image. As expected the image is being force pulled if the flag is set.
Author: Philipp Hoffmann <mail@philipphoffmann.de>
Closes#13051 from philipphoffmann/force-pull-image.
This PR is based on PR #14098 authored by wangmiao1981.
## What changes were proposed in this pull request?
This PR replaces the original Python Spark SQL example file with the following three files:
- `sql/basic.py`
Demonstrates basic Spark SQL features.
- `sql/datasource.py`
Demonstrates various Spark SQL data sources.
- `sql/hive.py`
Demonstrates Spark SQL Hive interaction.
This PR also removes hard-coded Python example snippets in the SQL programming guide by extracting snippets from the above files using the `include_example` Liquid template tag.
## How was this patch tested?
Manually tested.
Author: wm624@hotmail.com <wm624@hotmail.com>
Author: Cheng Lian <lian@databricks.com>
Closes#14317 from liancheng/py-examples-update.
Clarify documentation on spark.task.maxFailures
No tests run as its documentation
Author: Tom Graves <tgraves@yahoo-inc.com>
Closes#14287 from tgravescs/SPARK-16650.
## What changes were proposed in this pull request?
Added new configuration namespace: spark.mesos.env.*
This allows a user submitting a job in cluster mode to set arbitrary environment variables on the driver.
spark.mesos.driverEnv.KEY=VAL will result in the env var "KEY" being set to "VAL"
I've also refactored the tests a bit so we can re-use code in MesosClusterScheduler.
And I've refactored the command building logic in `buildDriverCommand`. Command builder values were very intertwined before, and now it's easier to determine exactly how each variable is set.
## How was this patch tested?
unit tests
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#14167 from mgummelt/driver-env-vars.
## What changes were proposed in this pull request?
Fix parquet to csv in a comment to match the input format being read.
## How was this patch tested?
N/A (doc change only)
Author: Holden Karau <holden@us.ibm.com>
Closes#14274 from holdenk/minor-docfix-schema-of-csv-rather-than-parquet.
1. Create the executorspage-template.html for displaying application information in datables.
2. Added REST API endpoint "allexecutors" to be able to see all executors created for particular job.
3. The executorspage.js uses jQuery to access the data from /api/v1/applications/appid/allexecutors REST API, and use DataTable to display executors for the application. It also, generates summary of dead/live and total executors created during life of the application.
4. Similar changes applicable to Executors Page on history server for a given application.
Snapshots for how it looks like now:
<img width="938" alt="screen shot 2016-06-14 at 2 45 44 pm" src="https://cloud.githubusercontent.com/assets/6090397/16060092/ad1de03a-324b-11e6-8469-9eaa3f2548b5.png">
New Executors Page screenshot looks like this:
<img width="1436" alt="screen shot 2016-06-15 at 10 12 01 am" src="https://cloud.githubusercontent.com/assets/6090397/16085514/ee7004f0-32e1-11e6-9340-33d91e407f2b.png">
Author: Kishor Patil <kpatil@yahoo-inc.com>
Closes#13670 from kishorvpatil/execTemplates.
## What changes were proposed in this pull request?
Update monitoring.md.
…<appId>'
Author: Weiqing Yang <yangweiqing001@gmail.com>
Closes#14163 from Sherry302/master.
## What changes were proposed in this pull request?
update `refreshTable` API in python code of the sql-programming-guide.
This API is added in SPARK-15820
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#14220 from WeichenXu123/update_sql_doc_catalog.
## What changes were proposed in this pull request?
Minor fixes correcting some typos, punctuations, grammar.
Adding more anchors for easy navigation.
Fixing minor issues with code snippets.
## How was this patch tested?
`jekyll serve`
Author: Ahmed Mahran <ahmed.mahran@mashin.io>
Closes#14234 from ahmed-mahran/b-struct-streaming-docs.
## What changes were proposed in this pull request?
This PR moves one and the last hard-coded Scala example snippet from the SQL programming guide into `SparkSqlExample.scala`. It also renames all Scala/Java example files so that all "Sql" in the file names are updated to "SQL".
## How was this patch tested?
Manually verified the generated HTML page.
Author: Cheng Lian <lian@databricks.com>
Closes#14245 from liancheng/minor-scala-example-update.
## What changes were proposed in this pull request?
Fix code style from ad hoc review of RC4 doc
## How was this patch tested?
manual
shivaram
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#14250 from felixcheung/rdocs2rc4.
## What changes were proposed in this pull request?
Updates programming guide for spark.gapply/spark.gapplyCollect.
Similar to other examples I used `faithful` dataset to demonstrate gapply's functionality.
Please, let me know if you prefer another example.
## How was this patch tested?
Existing test cases in R
Author: Narine Kokhlikyan <narine@slice.com>
Closes#14090 from NarineK/gapplyProgGuide.
## What changes were proposed in this pull request?
Made DataFrame-based API primary
* Spark doc menu bar and other places now link to ml-guide.html, not mllib-guide.html
* mllib-guide.html keeps RDD-specific list of features, with a link at the top redirecting people to ml-guide.html
* ml-guide.html includes a "maintenance mode" announcement about the RDD-based API
* **Reviewers: please check this carefully**
* (minor) Titles for DF API no longer include "- spark.ml" suffix. Titles for RDD API have "- RDD-based API" suffix
* Moved migration guide to ml-guide from mllib-guide
* Also moved past guides from mllib-migration-guides to ml-migration-guides, with a redirect link on mllib-migration-guides
* **Reviewers**: I did not change any of the content of the migration guides.
Reorganized DataFrame-based guide:
* ml-guide.html mimics the old mllib-guide.html page in terms of content: overview, migration guide, etc.
* Moved Pipeline description into ml-pipeline.html and moved tuning into ml-tuning.html
* **Reviewers**: I did not change the content of these guides, except some intro text.
* Sidebar remains the same, but with pipeline and tuning sections added
Other:
* ml-classification-regression.html: Moved text about linear methods to new section in page
## How was this patch tested?
Generated docs locally
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#14213 from jkbradley/ml-guide-2.0.
If a custom Jekyll template tag throws Ruby's equivalent of a "file not found" exception, then Jekyll will stop the doc building process but will exit with a successful status, causing our doc publishing jobs to silently fail.
This is caused by https://github.com/jekyll/jekyll/issues/5104, a case of bad error-handling logic in Jekyll. This patch works around this by updating our `include_example.rb` plugin to catch the exception and exit rather than allowing it to bubble up and be ignored by Jekyll.
I tested this manually with
```
rm ./examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala
cd docs
SKIP_API=1 jekyll build
echo $?
```
Author: Josh Rosen <joshrosen@databricks.com>
Closes#14209 from JoshRosen/fix-doc-building.
## What changes were proposed in this pull request?
Fixes a typo in the sql programming guide
## How was this patch tested?
Building docs locally
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes#14208 from shivaram/spark-sql-doc-fix.
This prevents the NM from starting when something is wrong, which would
lead to later errors which are confusing and harder to debug.
Added a unit test to verify startup fails if something is wrong.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#14162 from vanzin/SPARK-16505.
## What changes were proposed in this pull request?
Minor documentation update for code example, code style, and missed reference to "sparkR.init"
## How was this patch tested?
manual
shivaram
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#14178 from felixcheung/rcsvprogrammingguide.
## What changes were proposed in this pull request?
Updated structured streaming programming guide with new windowed example.
## How was this patch tested?
Docs
Author: James Thomas <jamesjoethomas@gmail.com>
Closes#14183 from jjthomas/ss_docs_update.
## What changes were proposed in this pull request?
Add Asynchronous Actions documentation inside action of programming guide
## How was this patch tested?
check the documentation indentation and formatting with md preview.
Author: sandy <phalodi@gmail.com>
Closes#14104 from phalodi/SPARK-16438.
- Hard-coded Spark SQL sample snippets were moved into source files under examples sub-project.
- Removed the inconsistency between Scala and Java Spark SQL examples
- Scala and Java Spark SQL examples were updated
The work is still in progress. All involved examples were tested manually. An additional round of testing will be done after the code review.
Author: aokolnychyi <okolnychyyanton@gmail.com>
Closes#14119 from aokolnychyi/spark_16303.
## What changes were proposed in this pull request?
when query only use metadata (example: partition key), it can return results based on metadata without scanning files. Hive did it in HIVE-1003.
## How was this patch tested?
add unit tests
Author: Lianhui Wang <lianhuiwang09@gmail.com>
Author: Wenchen Fan <wenchen@databricks.com>
Author: Lianhui Wang <lianhuiwang@users.noreply.github.com>
Closes#13494 from lianhuiwang/metadata-only.
## What changes were proposed in this pull request?
Some minor changes for documentation page "Spark Streaming + Kinesis Integration".
Moved "streaming-kinesis-arch.png" before the bullet list, not in between the bullets.
## How was this patch tested?
Tested manually, on my local machine.
Author: Xin Ren <iamshrek@126.com>
Closes#14097 from keypointt/kinesisDoc.
## What changes were proposed in this pull request?
* Update SparkR ML section to make them consistent with SparkR API docs.
* Since #13972 adds labelling support for the ```include_example``` Jekyll plugin, so that we can split the single ```ml.R``` example file into multiple line blocks with different labels, and include them in different algorithms/models in the generated HTML page.
## How was this patch tested?
Only docs update, manually check the generated docs.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#14011 from yanboliang/r-user-guide-update.
## What changes were proposed in this pull request?
After SPARK-16476 (committed earlier today as #14128), we can finally bump the version number.
## How was this patch tested?
N/A
Author: Reynold Xin <rxin@databricks.com>
Closes#14130 from rxin/SPARK-16477.
## What changes were proposed in this pull request?
Documentation changes to indicate that fine-grained mode is now deprecated. No code changes were made, and all fine-grained mode instructions were left in place. We can remove all of that once the deprecation cycle completes (Does Spark have a standard deprecation cycle? One major version?)
Blocked on https://github.com/apache/spark/pull/14059
## How was this patch tested?
Viewed in Github
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#14078 from mgummelt/deprecate-fine-grained.
## What changes were proposed in this pull request?
docs
## How was this patch tested?
viewed the docs in github
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#14059 from mgummelt/coarse-grained.
## What changes were proposed in this pull request?
I search the whole documents directory using SQLContext, and update the following places:
- docs/configuration.md, sparkR code snippets.
- docs/streaming-programming-guide.md, several example code.
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#14025 from WeichenXu123/WIP_SQLContext_update.
## What changes were proposed in this pull request?
Coincidentally, I discovered that a couple images were unused in `docs/`, and then searched and found more, and then realized some PNGs were pretty big and could be crushed, and before I knew it, had done the same for the ASF site (not committed yet).
No functional change at all, just less superfluous image data.
## How was this patch tested?
`jekyll serve`
Author: Sean Owen <sowen@cloudera.com>
Closes#14029 from srowen/RemoveCompressImages.
## What changes were proposed in this pull request?
I extract 6 example programs from GraphX programming guide and replace them with
`include_example` label.
The 6 example programs are:
- AggregateMessagesExample.scala
- SSSPExample.scala
- TriangleCountingExample.scala
- ConnectedComponentsExample.scala
- ComprehensiveExample.scala
- PageRankExample.scala
All the example code can run using
`bin/run-example graphx.EXAMPLE_NAME`
## How was this patch tested?
Manual.
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#14015 from WeichenXu123/graphx_example_plugin.
## What changes were proposed in this pull request?
There are two test data files used for graphx examples existing in directory "graphx/data"
I move it into "data/" directory because the "graphx" directory is used for code files and other test data files (such as mllib, streaming test data) are all in there.
I also update the graphx document where reference the data files which I move place.
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#14010 from WeichenXu123/move_graphx_data_dir.
This PR adds the breaking changes from [SPARK-14810](https://issues.apache.org/jira/browse/SPARK-14810) to the migration guide.
## How was this patch tested?
Built docs locally.
Author: Nick Pentreath <nickp@za.ibm.com>
Closes#13924 from MLnick/SPARK-15643-migration-guide.
## What changes were proposed in this pull request?
This PR adds labelling support for the `include_example` Jekyll plugin, so that we may split a single source file into multiple line blocks with different labels, and include them in multiple code snippets in the generated HTML page.
## How was this patch tested?
Manually tested.
<img width="923" alt="screenshot at jun 29 19-53-21" src="https://cloud.githubusercontent.com/assets/230655/16451099/66a76db2-3e33-11e6-84fb-63104c2f0688.png">
Author: Cheng Lian <lian@databricks.com>
Closes#13972 from liancheng/include-example-with-labels.
## What changes were proposed in this pull request?
Yarn supports rolling log aggregation since 2.6, previously log will only be aggregated to HDFS after application is finished, it is quite painful for long running applications like Spark Streaming, thriftserver. Also out of disk problem will be occurred when log file is too large. So here propose to add support of rolling log aggregation for Spark on yarn.
One limitation for this is that log4j should be set to change to file appender, now in Spark itself uses console appender by default, in which file will not be created again once removed after aggregation. But I think lots of production users should have changed their log4j configuration instead of default on, so this is not a big problem.
## How was this patch tested?
Manually verified with Hadoop 2.7.1.
Author: jerryshao <sshao@hortonworks.com>
Closes#13712 from jerryshao/SPARK-15990.
## What changes were proposed in this pull request?
Update ```spark.ml``` and ```spark.mllib``` migration guide from 1.6 to 2.0.
## How was this patch tested?
Docs update, no tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#13378 from yanboliang/spark-13448.
## What changes were proposed in this pull request?
This PR makes several updates to SQL programming guide.
Author: Yin Huai <yhuai@databricks.com>
Closes#13938 from yhuai/doc.
## What changes were proposed in this pull request?
Made changes to HashingTF,QuantileVectorizer and CountVectorizer
Author: GayathriMurali <gayathri.m@intel.com>
Closes#13745 from GayathriMurali/SPARK-15997.
## What changes were proposed in this pull request?
This changes the behavior of --num-executors and spark.executor.instances when using dynamic allocation. Instead of turning dynamic allocation off, it uses the value for the initial number of executors.
This changes was discussed on [SPARK-13723](https://issues.apache.org/jira/browse/SPARK-13723). I highly recommend using it while we can change the behavior for 2.0.0. In practice, the 1.x behavior causes unexpected behavior for users (it is not clear that it disables dynamic allocation) and wastes cluster resources because users rarely notice the log message.
## How was this patch tested?
This patch updates tests and adds a test for Utils.getDynamicAllocationInitialExecutors.
Author: Ryan Blue <blue@apache.org>
Closes#13338 from rdblue/SPARK-13723-num-executors-with-dynamic-allocation.
## What changes were proposed in this pull request?
Updated setJobGroup, cancelJobGroup, clearJobGroup to not require sc/SparkContext as parameter.
Also updated roxygen2 doc and R programming guide on deprecations.
## How was this patch tested?
unit tests
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#13838 from felixcheung/rjobgroup.
## What changes were proposed in this pull request?
Guide for
- UDFs with dapply, dapplyCollect
- spark.lapply for running parallel R functions
## How was this patch tested?
build locally
<img width="654" alt="screen shot 2016-06-14 at 03 12 56" src="https://cloud.githubusercontent.com/assets/3419881/16039344/12a3b6a0-31de-11e6-8d77-fe23308075c0.png">
Author: Kai Jiang <jiangkai@gmail.com>
Closes#13660 from vectorijk/spark-15672-R-guide-update.
## What changes were proposed in this pull request?
Doc changes
## How was this patch tested?
manual
liancheng
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#13827 from felixcheung/sqldocdeprecate.
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16045
2.0 Audit: Update document for StopWordsRemover and Binarizer.
## How was this patch tested?
manual review for doc
Author: Yuhao Yang <hhbyyh@gmail.com>
Author: Yuhao Yang <yuhao.yang@intel.com>
Closes#13375 from hhbyyh/stopdoc.
## What changes were proposed in this pull request?
Update docs for two parameters `spark.sql.files.maxPartitionBytes` and `spark.sql.files.openCostInBytes ` in Other Configuration Options.
## How was this patch tested?
N/A
Author: Takeshi YAMAMURO <linguin.m.s@gmail.com>
Closes#13797 from maropu/SPARK-15894-2.
## What changes were proposed in this pull request?
Update doc as per discussion in PR #13592
## How was this patch tested?
manual
shivaram liancheng
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#13799 from felixcheung/rsqlprogrammingguide.
This has changed from 1.6, and now stores memory off-heap using spark's off-heap support instead of in tachyon.
Author: Eric Liang <ekl@databricks.com>
Closes#13744 from ericl/spark-16025.
## What changes were proposed in this pull request?
Initial SQL programming guide update for Spark 2.0. Contents like 1.6 to 2.0 migration guide are still incomplete.
We may also want to add more examples for Scala/Java Dataset typed transformations.
## How was this patch tested?
N/A
Author: Cheng Lian <lian@databricks.com>
Closes#13592 from liancheng/sql-programming-guide-2.0.
## What changes were proposed in this pull request?
roxygen2 doc, programming guide, example updates
## How was this patch tested?
manual checks
shivaram
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#13751 from felixcheung/rsparksessiondoc.
## What changes were proposed in this pull request?
In the 2.0 document, Line "A full example that produces the experiment described in the PIC paper can be found under examples/." is redundant.
There is already "Find full example code at "examples/src/main/scala/org/apache/spark/examples/mllib/PowerIterationClusteringExample.scala" in the Spark repo.".
We should remove the first line, which is consistent with other documents.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
Manual test
Author: wm624@hotmail.com <wm624@hotmail.com>
Closes#13755 from wangmiao1981/doc.
## What changes were proposed in this pull request?
Make user guide changes to SparkR documentation for all changes that happened in 2.0 to Machine Learning APIs
Author: GayathriMurali <gayathri.m@intel.com>
Closes#13285 from GayathriMurali/SPARK-15129.
## What changes were proposed in this pull request?
add ml doc for ml isotonic regression
add scala example for ml isotonic regression
add java example for ml isotonic regression
add python example for ml isotonic regression
modify scala example for mllib isotonic regression
modify java example for mllib isotonic regression
modify python example for mllib isotonic regression
add data/mllib/sample_isotonic_regression_libsvm_data.txt
delete data/mllib/sample_isotonic_regression_data.txt
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#13381 from WeichenXu123/add_isotonic_regression_doc.
## What changes were proposed in this pull request?
Reduce `spark.memory.fraction` default to 0.6 in order to make it fit within default JVM old generation size (2/3 heap). See JIRA discussion. This means a full cache doesn't spill into the new gen. CC andrewor14
## How was this patch tested?
Jenkins tests.
Author: Sean Owen <sowen@cloudera.com>
Closes#13618 from srowen/SPARK-15796.
## What changes were proposed in this pull request?
minor typo
## How was this patch tested?
minor typo in the doc, should be self explanatory
Author: Mortada Mehyar <mortada.mehyar@gmail.com>
Closes#13639 from mortada/typo.
## What changes were proposed in this pull request?
- Deprecate old Java accumulator API; should use Scala now
- Update Java tests and examples
- Don't bother testing old accumulator API in Java 8 (too)
- (fix a misspelling too)
## How was this patch tested?
Jenkins tests
Author: Sean Owen <sowen@cloudera.com>
Closes#13606 from srowen/SPARK-15086.
## What changes were proposed in this pull request?
SPARK_MASTER_IP is a deprecated environment variable. It is replaced by SPARK_MASTER_HOST according to MasterArguments.scala.
## How was this patch tested?
Manually verified.
Author: bomeng <bmeng@us.ibm.com>
Closes#13543 from bomeng/SPARK-15806.
## What changes were proposed in this pull request?
Like `SPARK_JAVA_OPTS` and `SPARK_CLASSPATH`, we will remove the document for `SPARK_WORKER_INSTANCES` to discourage user not to use them. If they are actually used, SparkConf will show a warning message as before.
## How was this patch tested?
Manually tested.
Author: bomeng <bmeng@us.ibm.com>
Closes#13533 from bomeng/SPARK-15781.
## What changes were proposed in this pull request?
Use new Spark logo including "Apache" (now, with crushed PNGs). Remove old unreferenced logo files.
## How was this patch tested?
Manual check of generated HTML site and Spark UI. I searched for references to the deleted files to make sure they were not used.
Author: Sean Owen <sowen@cloudera.com>
Closes#13609 from srowen/SPARK-15879.
## What changes were proposed in this pull request?
fixing documentation for the groupby/agg example in python
## How was this patch tested?
the existing example in the documentation dose not contain valid syntax (missing parenthesis) and is not using `Column` in the expression for `agg()`
after the fix here's how I tested it:
```
In [1]: from pyspark.sql import Row
In [2]: import pyspark.sql.functions as func
In [3]: %cpaste
Pasting code; enter '--' alone on the line to stop or use Ctrl-D.
:records = [{'age': 19, 'department': 1, 'expense': 100},
: {'age': 20, 'department': 1, 'expense': 200},
: {'age': 21, 'department': 2, 'expense': 300},
: {'age': 22, 'department': 2, 'expense': 300},
: {'age': 23, 'department': 3, 'expense': 300}]
:--
In [4]: df = sqlContext.createDataFrame([Row(**d) for d in records])
In [5]: df.groupBy("department").agg(df["department"], func.max("age"), func.sum("expense")).show()
+----------+----------+--------+------------+
|department|department|max(age)|sum(expense)|
+----------+----------+--------+------------+
| 1| 1| 20| 300|
| 2| 2| 22| 600|
| 3| 3| 23| 300|
+----------+----------+--------+------------+
Author: Mortada Mehyar <mortada.mehyar@gmail.com>
Closes#13587 from mortada/groupby_agg_doc_fix.
## What changes were proposed in this pull request?
Mentioned Scala version in the sbt configuration file is 2.11, so the path of the target JAR should be `/target/scala-2.11/simple-project_2.11-1.0.jar`
## How was this patch tested?
n/a
Author: prabs <prabsmails@gmail.com>
Author: Prabeesh K <prabsmails@gmail.com>
Closes#13554 from prabeesh/master.
## What changes were proposed in this pull request?
When fitting ```LinearRegressionModel```(by "l-bfgs" solver) and ```LogisticRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce same model as R glmnet but different from LIBSVM.
When fitting ```AFTSurvivalRegressionModel``` w/o intercept on dataset with constant nonzero column, spark.ml produce different model compared with R survival::survreg.
We should output a warning message and clarify in document for this condition.
## How was this patch tested?
Document change, no unit test.
cc mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#12731 from yanboliang/spark-13590.
While there, also document spark.files and spark.jars. Text is the
same as the spark-submit help text with some minor adjustments.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#13502 from vanzin/SPARK-15760.
## What changes were proposed in this pull request?
I use spell check tools checks typo in spark documents and fix them.
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#13538 from WeichenXu123/fix_doc_typo.
## What changes were proposed in this pull request?
1, del precision,recall in `ml.MulticlassClassificationEvaluator`
2, update user guide for `mlllib.weightedFMeasure`
## How was this patch tested?
local build
Author: Ruifeng Zheng <ruifengz@foxmail.com>
Closes#13390 from zhengruifeng/clarify_f1.
## What changes were proposed in this pull request?
The patch updates the codes & docs in the example module as well as the related doc module:
- [ ] [docs] `streaming-programming-guide.md`
- [x] scala code part
- [ ] java code part
- [ ] python code part
- [x] [examples] `RecoverableNetworkWordCount.scala`
- [ ] [examples] `JavaRecoverableNetworkWordCount.java`
- [ ] [examples] `recoverable_network_wordcount.py`
## How was this patch tested?
Ran the examples and verified results manually.
Author: Liwei Lin <lwlin7@gmail.com>
Closes#12981 from lw-lin/accumulatorV2-examples.
## What changes were proposed in this pull request?
Update document programming-guide accumulator section (scala language)
java and python version, because the API haven't done, so I do not modify them.
## How was this patch tested?
N/A
Author: WeichenXu <WeichenXu123@outlook.com>
Closes#13441 from WeichenXu123/update_doc_accumulatorV2_clean.
## What changes were proposed in this pull request?
Fixed broken java code examples in streaming documentation
Attn: tdas
Author: Matthew Wise <matthew.rs.wise@gmail.com>
Closes#13388 from mawise/fix_docs_java_streaming_example.
## What changes were proposed in this pull request?
* Document ```WeightedLeastSquares```(normal equation) and ```IterativelyReweightedLeastSquares```.
* Copy ```L-BFGS``` documents from ```spark.mllib``` to ```spark.ml```.
Due to the session ```Optimization of linear methods``` is used for developers, I think we should provide the brief introduction of the optimization method, necessary references and how it implements in Spark. It's not necessary to paste all mathematical formula and derivation here. If developers/users want to learn more, they can track reference.
## How was this patch tested?
Document update, no tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#13262 from yanboliang/spark-15484.
## What changes were proposed in this pull request?
This patch adds a user guide section for generalized linear regression and includes the examples from [#12754](https://github.com/apache/spark/pull/12754).
## How was this patch tested?
Documentation only, no tests required.
## Approach
In general, it is a bit unclear what level of detail ought to be included in the user guide since there is a lot of variability within the current user guide. I tried to give a fairly brief mathematical introduction to GLMs, and cover what types of problems they could be used for. Additionally, I included a brief blurb on the IRLS solver. The input/output columns are given in a table as is found elsewhere in the docs (though, again, these appear rather intermittently in the current docs), as well as a table providing the supported families and their link functions.
Author: sethah <seth.hendrickson16@gmail.com>
Closes#13139 from sethah/SPARK-15186.
## What changes were proposed in this pull request?
Remove several obsolete env variables not supported for Spark on YARN now, also updates the docs to include several changes with 2.0.
## How was this patch tested?
N/A
CC vanzin tgravescs
Author: jerryshao <sshao@hortonworks.com>
Closes#13296 from jerryshao/yarn-doc.
## What changes were proposed in this pull request?
`a` -> `an`
I use regex to generate potential error lines:
`grep -in ' a [aeiou]' mllib/src/main/scala/org/apache/spark/ml/*/*scala`
and review them line by line.
## How was this patch tested?
local build
`lint-java` checking
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#13317 from zhengruifeng/a_an.
## What changes were proposed in this pull request?
Follow up on the earlier PR - in here we are fixing up roxygen2 doc examples.
Also add to the programming guide migration section.
## How was this patch tested?
SparkR tests
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#13340 from felixcheung/sqlcontextdoc.
This patch provides detail on what to do for keytabless Oozie launches of spark apps, and adds some debug-level diagnostics of what credentials have been submitted
Author: Steve Loughran <stevel@hortonworks.com>
Author: Steve Loughran <stevel@apache.org>
Closes#11033 from steveloughran/stevel/feature/SPARK-13148-oozie.
## What changes were proposed in this pull request?
Under Upgrading From SparkR 1.5.x to 1.6.x section added the information, SparkSQL converts `NA` in R to `null`.
## How was this patch tested?
Document update, no tests.
Author: Krishna Kalyan <krishnakalyan3@gmail.com>
Closes#13268 from krishnakalyan3/spark-12071-1.
## What changes were proposed in this pull request?
PySpark: Add links to the predictors from the models in regression.py, improve linear and isotonic pydoc in minor ways.
User guide / R: Switch the installed package list to be enough to build the R docs on a "fresh" install on ubuntu and add sudo to match the rest of the commands.
User Guide: Add a note about using gem2.0 for systems with both 1.9 and 2.0 (e.g. some ubuntu but maybe more).
## How was this patch tested?
built pydocs locally, tested new user build instructions
Author: Holden Karau <holden@us.ibm.com>
Closes#13199 from holdenk/SPARK-15412-improve-linear-isotonic-regression-pydoc.
This PR adds a note to clarify that the ML API for ALS only supports integers for user/item ids, and that other types for these columns can be used but the ids must fall within integer range.
(Refer [SPARK-14891](https://issues.apache.org/jira/browse/SPARK-14891)).
Also cleaned up a reference to `mllib` in the ML doc.
## How was this patch tested?
Built and viewed User Guide doc locally.
Author: Nick Pentreath <nickp@za.ibm.com>
Closes#13278 from MLnick/SPARK-15502-als-int-id-doc-note.
## What changes were proposed in this pull request?
Correct some typos and incorrectly worded sentences.
## How was this patch tested?
Doc changes only.
Note that many of these changes were identified by whomfire01
Author: sethah <seth.hendrickson16@gmail.com>
Closes#13180 from sethah/ml_guide_audit.
## What changes were proposed in this pull request?
Update the unit test code, examples, and documents to remove calls to deprecated method `dataset.registerTempTable`.
## How was this patch tested?
This PR only changes the unit test code, examples, and comments. It should be safe.
This is a follow up of PR https://github.com/apache/spark/pull/12945 which was merged.
Author: Sean Zhong <seanzhong@databricks.com>
Closes#13098 from clockfly/spark-15171-remove-deprecation.
## What changes were proposed in this pull request?
We should now begin copying algorithm details from the spark.mllib guide to spark.ml as needed, rather than just linking back to the corresponding algorithms in the spark.mllib user guide.
## How was this patch tested?
manual review for doc.
Author: Yuhao Yang <hhbyyh@gmail.com>
Author: Yuhao Yang <yuhao.yang@intel.com>
Closes#12957 from hhbyyh/tfidfdoc.
## What changes were proposed in this pull request?
See JIRA for the motivation. The changes are almost entirely movement of text and edits to sections. Minor changes to text include:
- Copying in / merging text from the "Useful Developer Tools" wiki, in areas of
- Docker
- R
- Running one test
- standardizing on ./build/mvn not mvn, and likewise for ./build/sbt
- correcting some typos
- standardizing code block formatting
No text has been removed from this doc; text has been imported from the https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools wiki
## How was this patch tested?
Jekyll doc build and inspection of resulting HTML in browser.
Author: Sean Owen <sowen@cloudera.com>
Closes#13124 from srowen/SPARK-15333.
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
Add guide doc and examples for GaussianMixture in Spark.ml in Java, Scala and Python.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
Manual compile and test all examples
Author: wm624@hotmail.com <wm624@hotmail.com>
Closes#12788 from wangmiao1981/example.
## What changes were proposed in this pull request?
1,Rename matrix args in BreezeUtil to upper to match the doc
2,Fix several typos in ML and SQL
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#13078 from zhengruifeng/fix_ann.
## What changes were proposed in this pull request?
Renaming the streaming-kafka artifact to include kafka version, in anticipation of needing a different artifact for later kafka versions
## How was this patch tested?
Unit tests
Author: cody koeninger <cody@koeninger.org>
Closes#12946 from koeninger/SPARK-15085.
## What changes were proposed in this pull request?
1,create a libsvm-type dataset for lda: `data/mllib/sample_lda_libsvm_data.txt`
2,add python example
3,directly read the datafile in examples
4,BTW, change to `SparkSession` in `aft_survival_regression.py`
## How was this patch tested?
manual tests
`./bin/spark-submit examples/src/main/python/ml/lda_example.py`
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12927 from zhengruifeng/lda_pe.
This PR:
* Clarifies that Spark *does* support Python 3, starting with Python 3.4.
Author: Nicholas Chammas <nicholas.chammas@gmail.com>
Closes#13017 from nchammas/supported-python-versions.
## What changes were proposed in this pull request?
Python example for ml.kmeans already exists, but not included in user guide.
1,small changes like: `example_on` `example_off`
2,add it to user guide
3,update examples to directly read datafile
## How was this patch tested?
manual tests
`./bin/spark-submit examples/src/main/python/ml/kmeans_example.py
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12925 from zhengruifeng/km_pe.
## What changes were proposed in this pull request?
1, add BisectingKMeans to ml-clustering.md
2, add the missing Scala BisectingKMeansExample
3, create a new datafile `data/mllib/sample_kmeans_data.txt`
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#11844 from zhengruifeng/doc_bkm.
## What changes were proposed in this pull request?
1, Add python example for OneVsRest
2, remove args-parsing
## How was this patch tested?
manual tests
`./bin/spark-submit examples/src/main/python/ml/one_vs_rest_example.py`
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12920 from zhengruifeng/ovr_pe.
## What changes were proposed in this pull request?
The current build documents don't specify that for PySpark tests we need to include Hive in the assembly otherwise the ORC tests fail.
## How was the this patch tested?
Manually built the docs locally. Ran the provided build command follow by the PySpark SQL tests.
Author: Holden Karau <holden@us.ibm.com>
Closes#11278 from holdenk/SPARK-13382-update-pyspark-testing-notes-r2.
## What changes were proposed in this pull request?
The configuration setting `spark.executor.logs.rolling.size.maxBytes` was changed to `spark.executor.logs.rolling.maxSize` in 1.4 or so.
This commit fixes a remaining reference to the old name in the documentation.
Also the description for `spark.executor.logs.rolling.maxSize` was edited to clearly state that the unit for the size is bytes.
## How was this patch tested?
no tests
Author: Philipp Hoffmann <mail@philipphoffmann.de>
Closes#13001 from philipphoffmann/patch-3.
## What changes were proposed in this pull request?
* Since Spark has supported native csv reader, it does not necessary to use the third party ```spark-csv``` in ```examples/src/main/r/data-manipulation.R```. Meanwhile, remove all ```spark-csv``` usage in SparkR.
* Running R applications through ```sparkR``` is not supported as of Spark 2.0, so we change to use ```./bin/spark-submit``` to run the example.
## How was this patch tested?
Offline test.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#13005 from yanboliang/r-df-examples.
## What changes were proposed in this pull request?
Fixed some minor errors found when reviewing feature.ml user guide
## How was this patch tested?
built docs locally
Author: Bryan Cutler <cutlerb@gmail.com>
Closes#12940 from BryanCutler/feature.ml-doc_fixes-DOCS-MINOR.
## What changes were proposed in this pull request?
Add the missing python example for QuantileDiscretizer
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12281 from zhengruifeng/discret_pe.
## What changes were proposed in this pull request?
Create a maven profile for executing the docker integration tests using maven
Remove docker integration tests from main sbt build
Update documentation on how to run docker integration tests from sbt
## How was this patch tested?
Manual test of the docker integration tests as in :
mvn -Pdocker-integration-tests -pl :spark-docker-integration-tests_2.11 compile test
## Other comments
Note that the the DB2 Docker Tests are still disabled as there is a kernel version issue on the AMPLab Jenkins slaves and we would need to get them on the right level before enabling those tests. They do run ok locally with the updates from PR #12348
Author: Luciano Resende <lresende@apache.org>
Closes#12508 from lresende/docker.
Remove history server functionality from standalone Master. Previously, the Master process rebuilt a SparkUI once the application was completed which sometimes caused problems, such as OOM, when the application event log is large (see SPARK-6270). Keeping this functionality out of the Master will help to simplify the process and increase stability.
Testing for this change included running core unit tests and manually running an application on a standalone cluster to verify that it completed successfully and that the Master UI functioned correctly. Also added 2 unit tests to verify killing an application and driver from MasterWebUI makes the correct request to the Master.
Author: Bryan Cutler <cutlerb@gmail.com>
Closes#10991 from BryanCutler/remove-history-master-SPARK-12299.
## What changes were proposed in this pull request?
Currently only a list of users can be specified for view and modify acls. This change enables a group of admins/devs/users to be provisioned for viewing and modifying Spark jobs.
**Changes Proposed in the fix**
Three new corresponding config entries have been added where the user can specify the groups to be given access.
```
spark.admin.acls.groups
spark.modify.acls.groups
spark.ui.view.acls.groups
```
New config entries were added because specifying the users and groups explicitly is a better and cleaner way compared to specifying them in the existing config entry using a delimiter.
A generic trait has been introduced to provide the user to group mapping which makes it pluggable to support a variety of mapping protocols - similar to the one used in hadoop. A default unix shell based implementation has been provided.
Custom user to group mapping protocol can be specified and configured by the entry ```spark.user.groups.mapping```
**How the patch was Tested**
We ran different spark jobs setting the config entries in combinations of admin, modify and ui acls. For modify acls we tried killing the job stages from the ui and using yarn commands. For view acls we tried accessing the UI tabs and the logs. Headless accounts were used to launch these jobs and different users tried to modify and view the jobs to ensure that the groups mapping applied correctly.
Additional Unit tests have been added without modifying the existing ones. These test for different ways of setting the acls through configuration and/or API and validate the expected behavior.
Author: Dhruve Ashar <dhruveashar@gmail.com>
Closes#12760 from dhruve/impr/SPARK-4224.
## What changes were proposed in this pull request?
Some python snippets is using scala imports and comments.
## How was this patch tested?
Generated the docs locally with `SKIP_API=1 jekyll build` and viewed the changes in the browser.
Author: Shuai Lin <linshuai2012@gmail.com>
Closes#12869 from lins05/fix-mllib-python-snippets.
## What changes were proposed in this pull request?
https://issues.apache.org/jira/browse/SPARK-13973
Following discussion with srowen the IPYTHON and IPYTHON_OPTS variables are removed. If they are set in the user's environment, pyspark will not execute and prints an error message. Failing noisily will force users to remove these options and learn the new configuration scheme, which is much more sustainable and less confusing.
## How was this patch tested?
Manual testing; set IPYTHON=1 and verified that the error message prints.
Author: pshearer <pshearer@massmutual.com>
Author: shearerp <shearerp@umich.edu>
Closes#12528 from shearerp/master.
## What changes were proposed in this pull request?
dapply() applies an R function on each partition of a DataFrame and returns a new DataFrame.
The function signature is:
dapply(df, function(localDF) {}, schema = NULL)
R function input: local data.frame from the partition on local node
R function output: local data.frame
Schema specifies the Row format of the resulting DataFrame. It must match the R function's output.
If schema is not specified, each partition of the result DataFrame will be serialized in R into a single byte array. Such resulting DataFrame can be processed by successive calls to dapply().
## How was this patch tested?
SparkR unit tests.
Author: Sun Rui <rui.sun@intel.com>
Author: Sun Rui <sunrui2016@gmail.com>
Closes#12493 from sun-rui/SPARK-12919.
## What changes were proposed in this pull request?
Add simple clarification that Spark can be cross-built for other Scala versions.
## How was this patch tested?
Automated doc build
Author: Sean Owen <sowen@cloudera.com>
Closes#12757 from srowen/SPARK-14882.
This work is based on twinkle-sachdeva 's proposal. In parallel to such mechanism for AM failures, here add similar mechanism for executor failure tracking, this is useful for long running Spark service to mitigate the executor failure problems.
Please help to review, tgravescs sryza and vanzin
Author: jerryshao <sshao@hortonworks.com>
Closes#10241 from jerryshao/SPARK-6735.
## What changes were proposed in this pull request?
Add the missing python example for VectorSlicer
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12282 from zhengruifeng/vecslicer_pe.
## What changes were proposed in this pull request?
Documentation changes
## How was this patch tested?
No tests
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#12664 from mgummelt/fix-dynamic-docs.
## What changes were proposed in this pull request?
This issue aims to fix some errors in R examples and make them up-to-date in docs and example modules.
- Remove the wrong usage of `map`. We need to use `lapply` in `sparkR` if needed. However, `lapply` is private so far. The corrected example will be added later.
- Fix the wrong example in Section `Generic Load/Save Functions` of `docs/sql-programming-guide.md` for consistency
- Fix datatypes in `sparkr.md`.
- Update a data result in `sparkr.md`.
- Replace deprecated functions to remove warnings: jsonFile -> read.json, parquetFile -> read.parquet
- Use up-to-date R-like functions: loadDF -> read.df, saveDF -> write.df, saveAsParquetFile -> write.parquet
- Replace `SparkR DataFrame` with `SparkDataFrame` in `dataframe.R` and `data-manipulation.R`.
- Other minor syntax fixes and a typo.
## How was this patch tested?
Manual.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#12649 from dongjoon-hyun/SPARK-14883.
## What changes were proposed in this pull request?
Added screenshot + minor fixes to improve reading
## How was this patch tested?
Manual
Author: Jacek Laskowski <jacek@japila.pl>
Closes#12569 from jaceklaskowski/docs-accumulators.
Add to the REST API details on the ? args and examples from the test suite.
I've used the existing table, adding all the fields to the second table.
see [in the pr](https://github.com/steveloughran/spark/blob/history/SPARK-13267-doc-params/docs/monitoring.md).
There's a slightly more sophisticated option: make the table 3 columns wide, and for all existing entries, have the initial `td` span 2 columns. The new entries would then have an empty 1st column, param in 2nd and text in 3rd, with any examples after a `br` entry.
Author: Steve Loughran <stevel@hortonworks.com>
Closes#11152 from steveloughran/history/SPARK-13267-doc-params.
## What changes were proposed in this pull request?
Fixed inadvertent roxygen2 doc changes, added class name change to programming guide
Follow up of #12621
## How was this patch tested?
manually checked
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#12647 from felixcheung/rdataframe.
## What changes were proposed in this pull request?
The patch makes event log processing multi threaded.
## How was this patch tested?
Existing tests pass, there is no new tests needed to test the functionality as this is a perf improvement. I tested the patch locally by generating one big event log (big1), one small event log(small1) and again a big event log(big2). Without this patch UI does not render any app for almost 30 seconds and then big2 and small1 appears. another 30 second delay and finally big1 also shows up in UI. With this change small1 shows up immediately and big1 and big2 comes up in 30 seconds. Locally it also displays them in the correct order in the UI.
Author: Parth Brahmbhatt <pbrahmbhatt@netflix.com>
Closes#11800 from Parth-Brahmbhatt/SPARK-13988.
## What changes were proposed in this pull request?
Restore `ec2-scripts.md` as a redirect to amplab/spark-ec2 docs
## How was this patch tested?
`jekyll build` and checked with the browser
Author: Sean Owen <sowen@cloudera.com>
Closes#12534 from srowen/SPARK-14742.
## What changes were proposed in this pull request?
Currently, the docs for TF-IDF only refer to using HashingTF with IDF. However, CountVectorizer can also be used. We should probably amend the user guide and examples to show this.
## How was this patch tested?
unit tests and doc generation
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#12454 from hhbyyh/tfdoc.
## What changes were proposed in this pull request?
The sort shuffle manager has been the default since Spark 1.2. It is time to remove the old hash shuffle manager.
## How was this patch tested?
Removed some tests related to the old manager.
Author: Reynold Xin <rxin@databricks.com>
Closes#12423 from rxin/SPARK-14667.
## What changes were proposed in this pull request?
Add the missing python example for ChiSqSelector
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12283 from zhengruifeng/chi2_pe.
## What changes were proposed in this pull request?
Removing references to assembly jar in documentation.
Adding an additional (previously undocumented) usage of spark-submit to run examples.
## How was this patch tested?
Ran spark-submit usage to ensure formatting was fine. Ran examples using SparkSubmit.
Author: Mark Grover <mark@apache.org>
Closes#12365 from markgrover/spark-14601.
## What changes were proposed in this pull request?
The configuration docs are updated to reflect the changes introduced with [SPARK-12384](https://issues.apache.org/jira/browse/SPARK-12384). This allows the user to specify initial heap memory settings through the extraJavaOptions for executor, driver and am.
## How was this patch tested?
The changes are tested in [SPARK-12384](https://issues.apache.org/jira/browse/SPARK-12384). This is just documenting the changes made.
Author: Dhruve Ashar <dhruveashar@gmail.com>
Closes#12333 from dhruve/doc/SPARK-14572.
jira: https://issues.apache.org/jira/browse/SPARK-13089
Add section in ml-classification.md for NaiveBayes DataFrame-based API, plus example code (using include_example to clip code from examples/ folder files).
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#11015 from hhbyyh/naiveBayesDoc.
## What changes were proposed in this pull request?
Add python CountVectorizerExample
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#11917 from zhengruifeng/cv_pe.
## What changes were proposed in this pull request?
This PR fixes the `age` data types from `integer` to `long` in `SQL Programming Guide: JSON Datasets`.
## How was this patch tested?
Manual.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#12290 from dongjoon-hyun/minor_fix_type_in_json_example.
## What changes were proposed in this pull request?
add three python examples
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#12063 from zhengruifeng/dct_pe.
Docs change to remove the sentence about Mesos not supporting cluster mode.
It was not.
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#12249 from mgummelt/fix-mesos-cluster-docs.
## What changes were proposed in this pull request?
Since not having the correct zk url causes job failure, the documentation should include all parameters
## How was this patch tested?
no tests necessary
Author: Malte <elmalto@users.noreply.github.com>
Closes#12218 from elmalto/patch-1.
## What changes were proposed in this pull request?
This patch removes DirectParquetOutputCommitter. This was initially created by Databricks as a faster way to write Parquet data to S3. However, given how the underlying S3 Hadoop implementation works, this committer only works when there are no failures. If there are multiple attempts of the same task (e.g. speculation or task failures or node failures), the output data can be corrupted. I don't think this performance optimization outweighs the correctness issue.
## How was this patch tested?
Removed the related tests also.
Author: Reynold Xin <rxin@databricks.com>
Closes#12229 from rxin/SPARK-10063.
## What changes were proposed in this pull request?
Change our build docs & shell scripts to that developers are aware of the change from "assembly" to "package"
## How was this patch tested?
Manually ran ./bin/spark-shell after ./build/sbt assembly and verified error message printed, ran new suggested build target and verified ./bin/spark-shell runs after this.
Author: Holden Karau <holden@pigscanfly.ca>
Author: Holden Karau <holden@us.ibm.com>
Closes#12197 from holdenk/SPARK-1424-spark-class-broken-fix-build-docs.
## What changes were proposed in this pull request?
Made the SPARK YARN STAGING DIR as configurable with the configuration as 'spark.yarn.staging-dir'.
## How was this patch tested?
I have verified it manually by running applications on yarn, If the 'spark.yarn.staging-dir' is configured then the value used as staging directory otherwise uses the default value i.e. file system’s home directory for the user.
Author: Devaraj K <devaraj@apache.org>
Closes#12082 from devaraj-kavali/SPARK-13063.
This change modifies the "assembly/" module to just copy needed
dependencies to its build directory, and modifies the packaging
script to pick those up (and remove duplicate jars packages in the
examples module).
I also made some minor adjustments to dependencies to remove some
test jars from the final packaging, and remove jars that conflict with each
other when packaged separately (e.g. servlet api).
Also note that this change restores guava in applications' classpaths, even
though it's still shaded inside Spark. This is now needed for the Hadoop
libraries that are packaged with Spark, which now are not processed by
the shade plugin.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#11796 from vanzin/SPARK-13579.
## What changes were proposed in this pull request?
Straggler references to Tachyon were removed:
- for docs, `tachyon` has been generalized as `off-heap memory`;
- for Mesos test suits, the key-value `tachyon:true`/`tachyon:false` has been changed to `os:centos`/`os:ubuntu`, since `os` is an example constrain used by the [Mesos official docs](http://mesos.apache.org/documentation/attributes-resources/).
## How was this patch tested?
Existing test suites.
Author: Liwei Lin <lwlin7@gmail.com>
Closes#12129 from lw-lin/tachyon-cleanup.
## What changes were proposed in this pull request?
Currently in Spark on YARN, configurations can be passed through SparkConf, env and command arguments, some parts are duplicated, like client argument and SparkConf. So here propose to simplify the command arguments.
## How was this patch tested?
This patch is tested manually with unit test.
CC vanzin tgravescs , please help to suggest this proposal. The original purpose of this JIRA is to remove `ClientArguments`, through refactoring some arguments like `--class`, `--arg` are not so easy to replace, so here I remove the most part of command line arguments, only keep the minimal set.
Author: jerryshao <sshao@hortonworks.com>
Closes#11603 from jerryshao/SPARK-12343.
This patch fixes a compilation / build break in Spark's `java8-tests` and refactors their POM to simplify the build. See individual commit messages for more details.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#12073 from JoshRosen/fix-java8-tests.
It looks like the docs were recently updated to reflect the History Server's support for incomplete applications, but they still had wording that suggested only completed applications were viewable. This fixes that.
My editor also introduced several whitespace removal changes, that I hope are OK, as text files shouldn't have trailing whitespace. To verify they're purely whitespace changes, add `&w=1` to your browser address. If this isn't acceptable, let me know and I'll update the PR.
I also didn't think this required a JIRA. Let me know if I should create one.
Not tested
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#12045 from mgummelt/update-history-docs.
## What changes were proposed in this pull request?
This PR removes all docs about the old streaming-akka, streaming-zeromq, streaming-mqtt and streaming-twitter projects since I have already copied them to https://github.com/spark-packages
Also remove mqtt_wordcount.py that I forgot to remove previously.
## How was this patch tested?
Jenkins PR Build.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#11824 from zsxwing/remove-doc.
Replace example code in mllib-feature-extraction.md using include_example
https://issues.apache.org/jira/browse/SPARK-13017
The example code in the user guide is embedded in the markdown and hence it is not easy to test. It would be nice to automatically test them. This JIRA is to discuss options to automate example code testing and see what we can do in Spark 1.6.
Goal is to move actual example code to spark/examples and test compilation in Jenkins builds. Then in the markdown, we can reference part of the code to show in the user guide. This requires adding a Jekyll tag that is similar to https://github.com/jekyll/jekyll/blob/master/lib/jekyll/tags/include.rb, e.g., called include_example.
`{% include_example scala/org/apache/spark/examples/mllib/TFIDFExample.scala %}`
Jekyll will find `examples/src/main/scala/org/apache/spark/examples/mllib/TFIDFExample.scala` and pick code blocks marked "example" and replace code block in
`{% highlight %}`
in the markdown.
See more sub-tasks in parent ticket: https://issues.apache.org/jira/browse/SPARK-11337
Author: Xin Ren <iamshrek@126.com>
Closes#11142 from keypointt/SPARK-13017.
## What changes were proposed in this pull request?
This PR for ticket SPARK-13019 is based on previous PR(https://github.com/apache/spark/pull/11108).
Since PR(https://github.com/apache/spark/pull/11108) is breaking scala-2.10 build, more work is needed to fix build errors.
What I did new in this PR is adding keyword argument for 'fractions':
` val approxSample = data.sampleByKey(withReplacement = false, fractions = fractions)`
` val exactSample = data.sampleByKeyExact(withReplacement = false, fractions = fractions)`
I reopened ticket on JIRA but sorry I don't know how to reopen a GitHub pull request, so I just submitting a new pull request.
## How was this patch tested?
Manual build testing on local machine, build based on scala-2.10.
Author: Xin Ren <iamshrek@126.com>
Closes#11901 from keypointt/SPARK-13019.
https://issues.apache.org/jira/browse/SPARK-13019
The example code in the user guide is embedded in the markdown and hence it is not easy to test. It would be nice to automatically test them. This JIRA is to discuss options to automate example code testing and see what we can do in Spark 1.6.
Goal is to move actual example code to spark/examples and test compilation in Jenkins builds. Then in the markdown, we can reference part of the code to show in the user guide. This requires adding a Jekyll tag that is similar to https://github.com/jekyll/jekyll/blob/master/lib/jekyll/tags/include.rb, e.g., called include_example.
`{% include_example scala/org/apache/spark/examples/mllib/SummaryStatisticsExample.scala %}`
Jekyll will find `examples/src/main/scala/org/apache/spark/examples/mllib/SummaryStatisticsExample.scala` and pick code blocks marked "example" and replace code block in
`{% highlight %}`
in the markdown.
See more sub-tasks in parent ticket: https://issues.apache.org/jira/browse/SPARK-11337
Author: Xin Ren <iamshrek@126.com>
Closes#11108 from keypointt/SPARK-13019.
## What changes were proposed in this pull request?
This PR updates Scala and Hadoop versions in the build description and commands in `Building Spark` documents.
## How was this patch tested?
N/A
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11838 from dongjoon-hyun/fix_doc_building_spark.
## What changes were proposed in this pull request?
Add the java example of StreamingTest
## How was this patch tested?
manual tests in CLI: bin/run-example mllib.JavaStreamingTestExample dataDir 5 100
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#11776 from zhengruifeng/streaming_je.
## What changes were proposed in this pull request?
Since developer API of plug-able parser has been removed in #10801 , docs should be updated accordingly.
## How was this patch tested?
This patch will not affect the real code path.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#11758 from adrian-wang/spark12855.
## What changes were proposed in this pull request?
`Shark` was merged into `Spark SQL` since [July 2014](https://databricks.com/blog/2014/07/01/shark-spark-sql-hive-on-spark-and-the-future-of-sql-on-spark.html). The followings seem to be the only legacy. For Spark 2.x, we had better clean up those docs.
**Migration Guide**
```
- ## Migration Guide for Shark Users
- ...
- ### Scheduling
- ...
- ### Reducer number
- ...
- ### Caching
```
## How was this patch tested?
Pass the Jenkins test.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11770 from dongjoon-hyun/SPARK-13942.
## What changes were proposed in this pull request?
I have copied the docs of Streaming Akka to https://github.com/spark-packages/dstream-akka/blob/master/README.md
So we can remove them from Spark now.
## How was this patch tested?
Only document changes.
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#11711 from zsxwing/remove-akka-doc.
## What changes were proposed in this pull request?
When studying spark many users just copy examples on the documentation and paste on their terminals
and because of that the missing backlashes lead them run into some shell errors.
The added backslashes avoid that problem for spark users with that behavior.
## How was this patch tested?
I generated the documentation locally using jekyll and checked the generated pages
Author: Daniel Santana <mestresan@gmail.com>
Closes#11699 from danielsan/master.
## What changes were proposed in this pull request?
- Fixes calls to `new String(byte[])` or `String.getBytes()` that rely on platform default encoding, to use UTF-8
- Same for `InputStreamReader` and `OutputStreamWriter` constructors
- Standardizes on UTF-8 everywhere
- Standardizes specifying the encoding with `StandardCharsets.UTF-8`, not the Guava constant or "UTF-8" (which means handling `UnuspportedEncodingException`)
- (also addresses the other remaining Coverity scan issues, which are pretty trivial; these are separated into commit 1deecd8d9c )
## How was this patch tested?
Jenkins tests
Author: Sean Owen <sowen@cloudera.com>
Closes#11657 from srowen/SPARK-13823.
In preparation for the demise of assemblies, this change allows the
YARN backend to use multiple jars and globs as the "Spark jar". The
config option has been renamed to "spark.yarn.jars" to reflect that.
A second option "spark.yarn.archive" was also added; if set, this
takes precedence and uploads an archive expected to contain the jar
files with the Spark code and its dependencies.
Existing deployments should keep working, mostly. This change drops
support for the "SPARK_JAR" environment variable, and also does not
fall back to using "jarOfClass" if no configuration is set, falling
back to finding files under SPARK_HOME instead. This should be fine
since "jarOfClass" probably wouldn't work unless you were using
spark-submit anyway.
Tested with the unit tests, and trying the different config options
on a YARN cluster.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#11500 from vanzin/SPARK-13577.
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-13512
Add example and doc for ml.feature.MaxAbsScaler.
## How was this patch tested?
unit tests
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#11392 from hhbyyh/maxabsdoc.
JIRA: https://issues.apache.org/jira/browse/SPARK-13672
## What changes were proposed in this pull request?
add two python examples of BisectingKMeans for ml and mllib
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes#11515 from zhengruifeng/mllib_bkm_pe.
## What changes were proposed in this pull request?
Today, Spark 1.6.1 and updated docs are release. Unfortunately, there is obsolete hive version information on docs: [Building Spark](http://spark.apache.org/docs/latest/building-spark.html#building-with-hive-and-jdbc-support). This PR fixes the following two lines.
```
-By default Spark will build with Hive 0.13.1 bindings.
+By default Spark will build with Hive 1.2.1 bindings.
-# Apache Hadoop 2.4.X with Hive 13 support
+# Apache Hadoop 2.4.X with Hive 1.2.1 support
```
`sql/README.md` file also describe
## How was this patch tested?
Manual.
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11639 from dongjoon-hyun/fix_doc_hive_version.
## What changes were proposed in this pull request?
This pull request adds a python example for train validation split.
## How was this patch tested?
This was style tested through lint-python, generally tested with ./dev/run-tests, and run in notebook and shell environments. It was viewed in docs locally with jekyll serve.
This contribution is my original work and I license it to Spark under its open source license.
Author: JeremyNixon <jnixon2@gmail.com>
Closes#11547 from JeremyNixon/tvs_example.
## What changes were proposed in this pull request?
Previously the Mesos framework webui URL was being derived only from the Spark UI address leaving no possibility to configure it. This commit makes it configurable. If unset it falls back to the previous behavior.
Motivation:
This change is necessary in order to be able to install Spark on DCOS and to be able to give it a custom service link. The configured `webui_url` is configured to point to a reverse proxy in the DCOS environment.
## How was this patch tested?
Locally, using unit tests and on DCOS testing and stable revision.
Author: Sergiusz Urbaniak <sur@mesosphere.io>
Closes#11369 from s-urbaniak/sur-webui-url.
## What changes were proposed in this pull request?
Move `docker` dirs out of top level into `external/`; move `extras/*` into `external/`
## How was this patch tested?
This is tested with Jenkins tests.
Author: Sean Owen <sowen@cloudera.com>
Closes#11523 from srowen/SPARK-13595.
## What changes were proposed in this pull request?
In order to make `docs/examples` (and other related code) more simple/readable/user-friendly, this PR replaces existing codes like the followings by using `diamond` operator.
```
- final ArrayList<Product2<Object, Object>> dataToWrite =
- new ArrayList<Product2<Object, Object>>();
+ final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
```
Java 7 or higher supports **diamond** operator which replaces the type arguments required to invoke the constructor of a generic class with an empty set of type parameters (<>). Currently, Spark Java code use mixed usage of this.
## How was this patch tested?
Manual.
Pass the existing tests.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11541 from dongjoon-hyun/SPARK-13702.
## What changes were proposed in this pull request?
Remove last usage of jblas, in tests
## How was this patch tested?
Jenkins tests -- the same ones that are being modified.
Author: Sean Owen <sowen@cloudera.com>
Closes#11560 from srowen/SPARK-13715.
## What changes were proposed in this pull request?
Move many top-level files in dev/ or other appropriate directory. In particular, put `make-distribution.sh` in `dev` and update docs accordingly. Remove deprecated `sbt/sbt`.
I was (so far) unable to figure out how to move `tox.ini`. `scalastyle-config.xml` should be movable but edits to the project `.sbt` files didn't work; config file location is updatable for compile but not test scope.
## How was this patch tested?
`./dev/run-tests` to verify RAT and checkstyle work. Jenkins tests for the rest.
Author: Sean Owen <sowen@cloudera.com>
Closes#11522 from srowen/SPARK-13596.
The description of "spark.memory.offHeap.size" in the current document does not clearly state that memory is counted with bytes....
This PR contains a small fix for this tiny issue
document fix
Author: CodingCat <zhunansjtu@gmail.com>
Closes#11561 from CodingCat/master.
## What changes were proposed in this pull request?
The reference to StatefulNetworkWordCount.scala from updateStatesByKey documentation should be removed, till there is a example for updateStatesByKey.
## How was this patch tested?
Have tested the new documentation with jekyll build.
Author: rmishra <rmishra@pivotal.io>
Closes#11545 from rishitesh/SPARK-13705.
Replace example code in mllib-clustering.md using include_example
https://issues.apache.org/jira/browse/SPARK-13013
The example code in the user guide is embedded in the markdown and hence it is not easy to test. It would be nice to automatically test them. This JIRA is to discuss options to automate example code testing and see what we can do in Spark 1.6.
Goal is to move actual example code to spark/examples and test compilation in Jenkins builds. Then in the markdown, we can reference part of the code to show in the user guide. This requires adding a Jekyll tag that is similar to https://github.com/jekyll/jekyll/blob/master/lib/jekyll/tags/include.rb, e.g., called include_example.
`{% include_example scala/org/apache/spark/examples/mllib/KMeansExample.scala %}`
Jekyll will find `examples/src/main/scala/org/apache/spark/examples/mllib/KMeansExample.scala` and pick code blocks marked "example" and replace code block in
`{% highlight %}`
in the markdown.
See more sub-tasks in parent ticket: https://issues.apache.org/jira/browse/SPARK-11337
Author: Xin Ren <iamshrek@126.com>
Closes#11116 from keypointt/SPARK-13013.
## What changes were proposed in this pull request?
As the title says, this moves the three modules currently in network/ into common/network-*. This removes one top level, non-user-facing folder.
## How was this patch tested?
Compilation and existing tests. We should run both SBT and Maven.
Author: Reynold Xin <rxin@databricks.com>
Closes#11409 from rxin/SPARK-13529.
## What changes were proposed in this pull request?
We provide a very limited set of cluster management script in Spark for Tachyon, although Tachyon itself provides a much better version of it. Given now Spark users can simply use Tachyon as a normal file system and does not require extensive configurations, we can remove this management capabilities to simplify Spark bash scripts.
Note that this also reduces coupling between a 3rd party external system and Spark's release scripts, and would eliminate possibility for failures such as Tachyon being renamed or the tar balls being relocated.
## How was this patch tested?
N/A
Author: Reynold Xin <rxin@databricks.com>
Closes#11400 from rxin/release-script.
## What changes were proposed in this pull request?
This PR replaces example codes in `mllib-linear-methods.md` using `include_example`
by doing the followings:
* Extracts the example codes(Scala,Java,Python) as files in `example` module.
* Merges some dialog-style examples into a single file.
* Hide redundant codes in HTML for the consistency with other docs.
## How was the this patch tested?
manual test.
This PR can be tested by document generations, `SKIP_API=1 jekyll build`.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11320 from dongjoon-hyun/SPARK-11381.
Part of task for [SPARK-11219](https://issues.apache.org/jira/browse/SPARK-11219) to make PySpark MLlib parameter description formatting consistent. This is for the tree module.
closes#10601
Author: Bryan Cutler <cutlerb@gmail.com>
Author: vijaykiran <mail@vijaykiran.com>
Closes#11353 from BryanCutler/param-desc-consistent-tree-SPARK-12634.
This pull request uses {%include_example%} to add an example for the python cross validator to ml-guide.
Author: JeremyNixon <jnixon2@gmail.com>
Closes#11240 from JeremyNixon/pipeline_include_example.
Replaced example example code in mllib-dimensionality-reduction.md using
include_example
Author: Devaraj K <devaraj@apache.org>
Closes#11132 from devaraj-kavali/SPARK-13016.
Part of task for [SPARK-11219](https://issues.apache.org/jira/browse/SPARK-11219) to make PySpark MLlib parameter description formatting consistent. This is for the fpm and recommendation modules.
Closes#10602Closes#10897
Author: Bryan Cutler <cutlerb@gmail.com>
Author: somideshmukh <somilde@us.ibm.com>
Closes#11186 from BryanCutler/param-desc-consistent-fpmrecc-SPARK-12632.
## What changes were proposed in this pull request?
This PR tries to fix all typos in all markdown files under `docs` module,
and fixes similar typos in other comments, too.
## How was the this patch tested?
manual tests.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11300 from dongjoon-hyun/minor_fix_typos.
## What changes were proposed in this pull request?
This PR fixes some typos in the following documentation files.
* `NOTICE`, `configuration.md`, and `hardware-provisioning.md`.
## How was the this patch tested?
manual tests
Author: Dongjoon Hyun <dongjoonapache.org>
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#11289 from dongjoon-hyun/minor_fix_typos_notice_and_confdoc.
## What changes were proposed in this pull request?
Clarify that 0.21 is only a **minimum** requirement.
## How was the this patch tested?
It's a doc change, so no tests.
Author: Iulian Dragos <jaguarul@gmail.com>
Closes#11271 from dragos/patch-1.
Clarify that reduce functions need to be commutative, and fold functions do not
See https://github.com/apache/spark/pull/11091
Author: Sean Owen <sowen@cloudera.com>
Closes#11217 from srowen/SPARK-13339.
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.
https://issues.apache.org/jira/browse/SPARK-11627
Spark Streaming backpressure mechanism has no initial input rate limit, it might cause OOM exception.
In the firest batch task ,receivers receive data at the maximum speed they can reach,it might exhaust executors memory resources. Add a initial input rate limit value can make sure the Streaming job execute success in the first batch,then the backpressure mechanism can adjust receiving rate adaptively.
Author: junhao <junhao@mogujie.com>
Closes#9593 from junhaoMg/junhao-dev.
This documents the implementation of ALS in `spark.ml` with example code in scala, java and python.
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#10411 from BenFradet/SPARK-12247.
Replace example code in mllib-pmml-model-export.md using include_example
https://issues.apache.org/jira/browse/SPARK-13018
The example code in the user guide is embedded in the markdown and hence it is not easy to test. It would be nice to automatically test them. This JIRA is to discuss options to automate example code testing and see what we can do in Spark 1.6.
Goal is to move actual example code to spark/examples and test compilation in Jenkins builds. Then in the markdown, we can reference part of the code to show in the user guide. This requires adding a Jekyll tag that is similar to https://github.com/jekyll/jekyll/blob/master/lib/jekyll/tags/include.rb, e.g., called include_example.
`{% include_example scala/org/apache/spark/examples/mllib/PMMLModelExportExample.scala %}`
Jekyll will find `examples/src/main/scala/org/apache/spark/examples/mllib/PMMLModelExportExample.scala` and pick code blocks marked "example" and replace code block in
`{% highlight %}`
in the markdown.
See more sub-tasks in parent ticket: https://issues.apache.org/jira/browse/SPARK-11337
Author: Xin Ren <iamshrek@126.com>
Closes#11126 from keypointt/SPARK-13018.
Response to JIRA https://issues.apache.org/jira/browse/SPARK-13312.
This contribution is my original work and I license the work to this project.
Author: JeremyNixon <jnixon2@gmail.com>
Closes#11199 from JeremyNixon/update_train_val_split_example.
Looks like pygments.rb gem is also required for jekyll build to work. At least on Ubuntu/RHEL I could not do build without this dependency. So added this to steps.
Author: Amit Dev <amitdev@gmail.com>
Closes#11180 from amitdev/master.
This JIRA is related to
https://github.com/apache/spark/pull/5852
Had to do some minor rework and test to make sure it
works with current version of spark.
Author: Sanket <schintap@untilservice-lm>
Closes#10838 from redsanket/limit-outbound-connections.
When the HistoryServer is showing an incomplete app, it needs to check if there is a newer version of the app available. It does this by checking if a version of the app has been loaded with a larger *filesize*. If so, it detaches the current UI, attaches the new one, and redirects back to the same URL to show the new UI.
https://issues.apache.org/jira/browse/SPARK-7889
Author: Steve Loughran <stevel@hortonworks.com>
Author: Imran Rashid <irashid@cloudera.com>
Closes#11118 from squito/SPARK-7889-alternate.
In spark-env.sh.template, there are multi-byte characters, this PR will remove it.
Author: Sasaki Toru <sasakitoa@nttdata.co.jp>
Closes#11149 from sasakitoa/remove_multibyte_in_sparkenv.
Remove spark.closure.serializer option and use JavaSerializer always
CC andrewor14 rxin I see there's a discussion in the JIRA but just thought I'd offer this for a look at what the change would be.
Author: Sean Owen <sowen@cloudera.com>
Closes#11150 from srowen/SPARK-12414.
This is the next iteration of tnachen's previous PR: https://github.com/apache/spark/pull/4027
In that PR, we resolved with andrewor14 and pwendell to implement the Mesos scheduler's support of `spark.executor.cores` to be consistent with YARN and Standalone. This PR implements that resolution.
This PR implements two high-level features. These two features are co-dependent, so they're implemented both here:
- Mesos support for spark.executor.cores
- Multiple executors per slave
We at Mesosphere have been working with Typesafe on a Spark/Mesos integration test suite: https://github.com/typesafehub/mesos-spark-integration-tests, which passes for this PR.
The contribution is my original work and I license the work to the project under the project's open source license.
Author: Michael Gummelt <mgummelt@mesosphere.io>
Closes#10993 from mgummelt/executor_sizing.
Fix for [SPARK-13002](https://issues.apache.org/jira/browse/SPARK-13002) about the initial number of executors when running with dynamic allocation on Mesos.
Instead of fixing it just for the Mesos case, made the change in `ExecutorAllocationManager`. It is already driving the number of executors running on Mesos, only no the initial value.
The `None` and `Some(0)` are internal details on the computation of resources to reserved, in the Mesos backend scheduler. `executorLimitOption` has to be initialized correctly, otherwise the Mesos backend scheduler will, either, create to many executors at launch, or not create any executors and not be able to recover from this state.
Removed the 'special case' description in the doc. It was not totally accurate, and is not needed anymore.
This doesn't fix the same problem visible with Spark standalone. There is no straightforward way to send the initial value in standalone mode.
Somebody knowing this part of the yarn support should review this change.
Author: Luc Bourlier <luc.bourlier@typesafe.com>
Closes#11047 from skyluc/issue/initial-dyn-alloc-2.
