Currently, Spark Streaming Programming Guide after updateStateByKey explanation links to file stateful_network_wordcount.py and note "For the complete Scala code ..." for any language tab selected. This is an incoherence.
I've changed the guide and link its pertinent example file. JavaStatefulNetworkWordCount.java example was not created so I added to the commit.
Author: gasparms <gmunoz@stratio.com>
Closes#4589 from gasparms/feature/streaming-guide and squashes the following commits:
7f37f89 [gasparms] More style changes
ec202b0 [gasparms] Follow spark style guide
f527328 [gasparms] Improve example to look like scala example
4d8785c [gasparms] Remove throw exception
e92e6b8 [gasparms] Fix incoherence
92db405 [gasparms] Fix Streaming Programming Guide. Change files according the selected language
Put example code close to the algorithm description.
Author: Xiangrui Meng <meng@databricks.com>
Closes#4598 from mengxr/SPARK-5806 and squashes the following commits:
a137872 [Xiangrui Meng] re-organize sections in mllib-clustering.md
Fixes SPARK-5805 : Fix the type error in the final example given in MLlib - Clustering documentation.
Author: Emre Sevinç <emre.sevinc@gmail.com>
Closes#4596 from emres/SPARK-5805 and squashes the following commits:
1029f66 [Emre Sevinç] SPARK-5805 Fixed the type error in documentation.
Updated examples using the new api and added DataFrame concept
Author: Antonio Navarro Perez <ajnavarro@users.noreply.github.com>
Closes#4560 from ajnavarro/ajnavarro-doc-sql-update and squashes the following commits:
82ebcf3 [Antonio Navarro Perez] Changed a missing JavaSQLContext to SQLContext.
8d5376a [Antonio Navarro Perez] fixed typo
8196b6b [Antonio Navarro Perez] [SQL][DOCS] Update sql documentation
(for master / 1.4 only)
Author: Sean Owen <sowen@cloudera.com>
Closes#4526 from srowen/SPARK-5727.2 and squashes the following commits:
83ba49c [Sean Owen] Remove Debian packaging
Looking at the code, I believe this remark about `take(n)` computing partitions on the driver is no longer correct. Apologies if I'm wrong.
This came up in http://stackoverflow.com/q/28436559/3318517.
Author: Daniel Darabos <darabos.daniel@gmail.com>
Closes#4533 from darabos/patch-2 and squashes the following commits:
cc80f3a [Daniel Darabos] Remove outdated remark about take(n).
This just adds a deprecation message. It's intended for backporting to branch 1.3 but can go in master too, to be followed by another PR that removes it for 1.4.
Author: Sean Owen <sowen@cloudera.com>
Closes#4516 from srowen/SPARK-5727.1 and squashes the following commits:
d48989f [Sean Owen] Refer to Spark 1.4
6c1c8b3 [Sean Owen] Deprecate Debian packaging
Deprecate inferSchema() and applySchema(), use createDataFrame() instead, which could take an optional `schema` to create an DataFrame from an RDD. The `schema` could be StructType or list of names of columns.
Author: Davies Liu <davies@databricks.com>
Closes#4498 from davies/create and squashes the following commits:
08469c1 [Davies Liu] remove Scala/Java API for now
c80a7a9 [Davies Liu] fix hive test
d1bd8f2 [Davies Liu] cleanup applySchema
9526e97 [Davies Liu] createDataFrame from RDD with columns
Yarn's config option `spark.yarn.user.classpath.first` does not work the same way as
`spark.files.userClassPathFirst`; Yarn's version is a lot more dangerous, in that it
modifies the system classpath, instead of restricting the changes to the user's class
loader. So this change implements the behavior of the latter for Yarn, and deprecates
the more dangerous choice.
To be able to achieve feature-parity, I also implemented the option for drivers (the existing
option only applies to executors). So now there are two options, each controlling whether
to apply userClassPathFirst to the driver or executors. The old option was deprecated, and
aliased to the new one (`spark.executor.userClassPathFirst`).
The existing "child-first" class loader also had to be fixed. It didn't handle resources, and it
was also doing some things that ended up causing JVM errors depending on how things
were being called.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#3233 from vanzin/SPARK-2996 and squashes the following commits:
9cf9cf1 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1499e2 [Marcelo Vanzin] Remove SPARK_HOME propagation.
fa7df88 [Marcelo Vanzin] Remove 'test.resource' file, create it dynamically.
a8c69f1 [Marcelo Vanzin] Review feedback.
cabf962 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1b8d7e [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3f768e3 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
2ce3c7a [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6d6be [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
70d4044 [Marcelo Vanzin] Fix pyspark/yarn-cluster test.
0fe7777 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6ef19 [Marcelo Vanzin] Move class loaders around and make names more meaninful.
fe970a7 [Marcelo Vanzin] Review feedback.
25d4fed [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3cb6498 [Marcelo Vanzin] Call the right loadClass() method on the parent.
fbb8ab5 [Marcelo Vanzin] Add locking in loadClass() to avoid deadlocks.
2e6c4b7 [Marcelo Vanzin] Mention new setting in documentation.
b6497f9 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a10f379 [Marcelo Vanzin] Some feedback.
3730151 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
f513871 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
44010b6 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
7b57cba [Marcelo Vanzin] Remove now outdated message.
5304d64 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
35949c8 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
54e1a98 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
d1273b2 [Marcelo Vanzin] Add test file to rat exclude.
fa1aafa [Marcelo Vanzin] Remove write check on user jars.
89d8072 [Marcelo Vanzin] Cleanups.
a963ea3 [Marcelo Vanzin] Implement spark.driver.userClassPathFirst for standalone cluster mode.
50afa5f [Marcelo Vanzin] Fix Yarn executor command line.
7d14397 [Marcelo Vanzin] Register user jars in executor up front.
7f8603c [Marcelo Vanzin] Fix yarn-cluster mode without userClassPathFirst.
20373f5 [Marcelo Vanzin] Fix ClientBaseSuite.
55c88fa [Marcelo Vanzin] Run all Yarn integration tests via spark-submit.
0b64d92 [Marcelo Vanzin] Add deprecation warning to yarn option.
4a84d87 [Marcelo Vanzin] Fix the child-first class loader.
d0394b8 [Marcelo Vanzin] Add "deprecated configs" to SparkConf.
46d8cf2 [Marcelo Vanzin] Update doc with new option, change name to "userClassPathFirst".
a314f2d [Marcelo Vanzin] Enable driver class path isolation in SparkSubmit.
91f7e54 [Marcelo Vanzin] [yarn] Enable executor class path isolation.
a853e74 [Marcelo Vanzin] Re-work CoarseGrainedExecutorBackend command line arguments.
89522ef [Marcelo Vanzin] Add class path isolation support for Yarn cluster mode.
This is the LDA user guide from jkbradley with Java and Scala code example.
Author: Xiangrui Meng <meng@databricks.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4465 from mengxr/lda-guide and squashes the following commits:
6dcb7d1 [Xiangrui Meng] update java example in the user guide
76169ff [Xiangrui Meng] update java example
36c3ae2 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into lda-guide
c2a1efe [Joseph K. Bradley] Added LDA programming guide, plus Java example (which is in the guide and probably should be removed).
I am the author of netlib-java and I found this documentation to be out of date. Some main points:
1. Breeze has not depended on jBLAS for some time
2. netlib-java provides a pure JVM implementation as the fallback (the original docs did not appear to be aware of this, claiming that gfortran was necessary)
3. The licensing issue is not just about LGPL: optimised natives have proprietary licenses. Building with the LGPL flag turned on really doesn't help you get past this.
4. I really think it's best to direct people to my detailed setup guide instead of trying to compress it into one sentence. It is different for each architecture, each OS, and for each backend.
I hope this helps to clear things up 😄
Author: Sam Halliday <sam.halliday@Gmail.com>
Author: Sam Halliday <sam.halliday@gmail.com>
Closes#4448 from fommil/patch-1 and squashes the following commits:
18cda11 [Sam Halliday] remove link to skillsmatters at request of @mengxr
a35e4a9 [Sam Halliday] reword netlib-java/breeze docs
https://issues.apache.org/jira/browse/SPARK-2945
spark.executor.instances works. As this JIRA recommended, we should add docs for this common config.
Author: WangTaoTheTonic <wangtao111@huawei.com>
Closes#4350 from WangTaoTheTonic/SPARK-2945 and squashes the following commits:
4c3913a [WangTaoTheTonic] not compatible with dynamic allocation
5fa9c46 [WangTaoTheTonic] add doc for spark.executor.instances
A recent patch #4051 made the initial number default to 0. With this change, any Spark application using dynamic allocation's default settings will ramp up very slowly. Since we never request more executors than needed to saturate the pending tasks, it is safe to ramp up quickly. The current default of 60 may be too slow.
Author: Andrew Or <andrew@databricks.com>
Closes#4409 from andrewor14/dynamic-allocation-interval and squashes the following commits:
d3cc485 [Andrew Or] Lower request interval
Simple description and code samples (and sample data) for GaussianMixture
Author: Travis Galoppo <tjg2107@columbia.edu>
Closes#4401 from tgaloppo/spark-5013 and squashes the following commits:
c9ff9a5 [Travis Galoppo] Fixed link in mllib-clustering.md Added Gaussian mixture and power iteration as available clustering techniques in mllib-guide
2368690 [Travis Galoppo] Minor fixes
3eb41fa [Travis Galoppo] [SPARK-5013] Added documentation and sample data file for GaussianMixture
Change spark-version from 1.1.0 to 1.2.0 in the example for spark-ec2/Launch Cluster.
Author: Miguel Peralvo <miguel.peralvo@gmail.com>
Closes#4300 from MiguelPeralvo/patch-1 and squashes the following commits:
38adf0b [Miguel Peralvo] Update ec2-scripts.md
1850869 [Miguel Peralvo] Update ec2-scripts.md
Trivial fix.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#4400 from adrian-wang/docdate and squashes the following commits:
31bbe40 [Daoyuan Wang] doc fix for date
- Add meta description tags on some of the most important doc pages
- Shorten the titles of some pages to have more relevant keywords; for
example there's no reason to have "Spark SQL Programming Guide - Spark
1.2.0 documentation", we can just say "Spark SQL - Spark 1.2.0
documentation".
Author: Matei Zaharia <matei@databricks.com>
Closes#4381 from mateiz/docs-seo and squashes the following commits:
4940563 [Matei Zaharia] [SPARK-5608] Improve SEO of Spark documentation pages
This patch introduces a new configuration option, `spark.extraListeners`, that allows SparkListeners to be specified in SparkConf and registered before the SparkContext is initialized. From the configuration documentation:
> A comma-separated list of classes that implement SparkListener; when initializing SparkContext, instances of these classes will be created and registered with Spark's listener bus. If a class has a single-argument constructor that accepts a SparkConf, that constructor will be called; otherwise, a zero-argument constructor will be called. If no valid constructor can be found, the SparkContext creation will fail with an exception.
This motivation for this patch is to allow monitoring code to be easily injected into existing Spark programs without having to modify those programs' code.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#4111 from JoshRosen/SPARK-5190-register-sparklistener-in-sc-constructor and squashes the following commits:
8370839 [Josh Rosen] Two minor fixes after merging with master
6e0122c [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-5190-register-sparklistener-in-sc-constructor
1a5b9a0 [Josh Rosen] Remove SPARK_EXTRA_LISTENERS environment variable.
2daff9b [Josh Rosen] Add a couple of explanatory comments for SPARK_EXTRA_LISTENERS.
b9973da [Josh Rosen] Add test to ensure that conf and env var settings are merged, not overriden.
d6f3113 [Josh Rosen] Use getConstructors() instead of try-catch to find right constructor.
d0d276d [Josh Rosen] Move code into setupAndStartListenerBus() method
b22b379 [Josh Rosen] Instantiate SparkListeners from classes listed in configurations.
9c0d8f1 [Josh Rosen] Revert "[SPARK-5190] Allow SparkListeners to be registered before SparkContext starts."
217ecc0 [Josh Rosen] Revert "Add addSparkListener to JavaSparkContext"
25988f3 [Josh Rosen] Add addSparkListener to JavaSparkContext
163ba19 [Josh Rosen] [SPARK-5190] Allow SparkListeners to be registered before SparkContext starts.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3820 from adrian-wang/parquettimestamp and squashes the following commits:
b1e2a0d [Daoyuan Wang] fix for nanos
4dadef1 [Daoyuan Wang] fix wrong read
93f438d [Daoyuan Wang] parquet timestamp support
SPARK-3883: SSL support for Akka connections and Jetty based file servers.
This story introduced the following changes:
- Introduced SSLOptions object which holds the SSL configuration and can build the appropriate configuration for Akka or Jetty. SSLOptions can be created by parsing SparkConf entries at a specified namespace.
- SSLOptions is created and kept by SecurityManager
- All Akka actor address creation snippets based on interpolated strings were replaced by a dedicated methods from AkkaUtils. Those methods select the proper Akka protocol - whether akka.tcp or akka.ssl.tcp
- Added tests cases for AkkaUtils, FileServer, SSLOptions and SecurityManager
- Added a way to use node local SSL configuration by executors and driver in standalone mode. It can be done by specifying spark.ssl.useNodeLocalConf in SparkConf.
- Made CoarseGrainedExecutorBackend not overwrite the settings which are executor startup configuration - they are passed anyway from Worker
Refer to https://github.com/apache/spark/pull/3571 for discussion and details
Author: Jacek Lewandowski <lewandowski.jacek@gmail.com>
Author: Jacek Lewandowski <jacek.lewandowski@datastax.com>
Closes#3571 from jacek-lewandowski/SPARK-3883-master and squashes the following commits:
9ef4ed1 [Jacek Lewandowski] Merge pull request #2 from jacek-lewandowski/SPARK-3883-docs2
fb31b49 [Jacek Lewandowski] SPARK-3883: Added SSL setup documentation
2532668 [Jacek Lewandowski] SPARK-3883: Refactored AkkaUtils.protocol method to not use Try
90a8762 [Jacek Lewandowski] SPARK-3883: Refactored methods to resolve Akka address and made it possible to easily configure multiple communication layers for SSL
72b2541 [Jacek Lewandowski] SPARK-3883: A reference to the fallback SSLOptions can be provided when constructing SSLOptions
93050f4 [Jacek Lewandowski] SPARK-3883: SSL support for HttpServer and Akka
... initial number
Author: Sandy Ryza <sandy@cloudera.com>
Closes#4051 from sryza/sandy-spark-4585 and squashes the following commits:
d1dd039 [Sandy Ryza] Add spark.dynamicAllocation.initialNumExecutors and make min and max not required
b7c59dc [Sandy Ryza] SPARK-4585. Spark dynamic executor allocation should use minExecutors as initial number
This seems complete, the duplication of tests for provided means/variances might be overkill, would appreciate some feedback.
Author: Octavian Geagla <ogeagla@gmail.com>
Closes#4140 from ogeagla/SPARK-5207 and squashes the following commits:
fa64dfa [Octavian Geagla] [SPARK-5207] [MLLIB] [WIP] change StandardScalerModel to take stddev instead of variance
9078fe0 [Octavian Geagla] [SPARK-5207] [MLLIB] [WIP] Incorporate code review feedback: change arg ordering, add dev api annotations, do better null checking, add another test and some doc for this.
997d2e0 [Octavian Geagla] [SPARK-5207] [MLLIB] [WIP] make withMean and withStd public, add constructor which uses defaults, un-refactor test class
64408a4 [Octavian Geagla] [SPARK-5207] [MLLIB] [WIP] change StandardScalerModel contructor to not be private to mllib, added tests for newly-exposed functionality
Add single pseudo-eigenvector PIC
Including documentations and updated pom.xml with the following codes:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PIClustering.scala
mllib/src/test/scala/org/apache/spark/mllib/clustering/PIClusteringSuite.scala
Author: sboeschhuawei <stephen.boesch@huawei.com>
Author: Fan Jiang <fanjiang.sc@huawei.com>
Author: Jiang Fan <fjiang6@gmail.com>
Author: Stephen Boesch <stephen.boesch@huawei.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes#4254 from fjiang6/PIC and squashes the following commits:
4550850 [sboeschhuawei] Removed pic test data
f292f31 [Stephen Boesch] Merge pull request #44 from mengxr/SPARK-4259
4b78aaf [Xiangrui Meng] refactor PIC
24fbf52 [sboeschhuawei] Updated API to be similar to KMeans plus other changes requested by Xiangrui on the PR
c12dfc8 [sboeschhuawei] Removed examples files and added pic_data.txt. Revamped testcases yet to come
92d4752 [sboeschhuawei] Move the Guassian/ Affinity matrix calcs out of PIC. Presently in the test suite
7ebd149 [sboeschhuawei] Incorporate Xiangrui's first set of PR comments except restructure PIC.run to take Graph but do not remove Gaussian
121e4d5 [sboeschhuawei] Remove unused testing data files
1c3a62e [sboeschhuawei] removed matplot.py and reordered all private methods to bottom of PIC
218a49d [sboeschhuawei] Applied Xiangrui's comments - especially removing RDD/PICLinalg classes and making noncritical methods private
43ab10b [sboeschhuawei] Change last two println's to log4j logger
88aacc8 [sboeschhuawei] Add assert to testcase on cluster sizes
24f438e [sboeschhuawei] fixed incorrect markdown in clustering doc
060e6bf [sboeschhuawei] Added link to PIC doc from the main clustering md doc
be659e3 [sboeschhuawei] Added mllib specific log4j
90e7fa4 [sboeschhuawei] Converted from custom Linalg routines to Breeze: added JavaDoc comments; added Markdown documentation
bea48ea [sboeschhuawei] Converted custom Linear Algebra datatypes/routines to use Breeze.
b29c0db [Fan Jiang] Update PIClustering.scala
ace9749 [Fan Jiang] Update PIClustering.scala
a112f38 [sboeschhuawei] Added graphx main and test jars as dependencies to mllib/pom.xml
f656c34 [sboeschhuawei] Added iris dataset
b7dbcbe [sboeschhuawei] Added axes and combined into single plot for matplotlib
a2b1e57 [sboeschhuawei] Revert inadvertent update to KMeans
9294263 [sboeschhuawei] Added visualization/plotting of input/output data
e5df2b8 [sboeschhuawei] First end to end working PIC
0700335 [sboeschhuawei] First end to end working version: but has bad performance issue
32a90dc [sboeschhuawei] Update circles test data values
0ef163f [sboeschhuawei] Added ConcentricCircles data generation and KMeans clustering
3fd5bc8 [sboeschhuawei] PIClustering is running in new branch (up to the pseudo-eigenvector convergence step)
d5aae20 [Jiang Fan] Adding Power Iteration Clustering and Suite test
a3c5fbe [Jiang Fan] Adding Power Iteration Clustering
This PR is based on #3255 , fix conflicts and code style.
Closes#3255.
Author: Yandu Oppacher <yandu.oppacher@jadedpixel.com>
Author: Davies Liu <davies@databricks.com>
Closes#3901 from davies/refactor-python-profile-code and squashes the following commits:
b4a9306 [Davies Liu] fix tests
4b79ce8 [Davies Liu] add docstring for profiler_cls
2700e47 [Davies Liu] use BasicProfiler as default
349e341 [Davies Liu] more refactor
6a5d4df [Davies Liu] refactor and fix tests
31bf6b6 [Davies Liu] fix code style
0864b5d [Yandu Oppacher] Remove unused method
76a6c37 [Yandu Oppacher] Added a profile collector to accumulate the profilers per stage
9eefc36 [Yandu Oppacher] Fix doc
9ace076 [Yandu Oppacher] Refactor of profiler, and moved tests around
8739aff [Yandu Oppacher] Code review fixes
9bda3ec [Yandu Oppacher] Refactor profiler code
Author: Sandy Ryza <sandy@cloudera.com>
Closes#4251 from sryza/sandy-spark-5458 and squashes the following commits:
460827a [Sandy Ryza] Python too
d2dc160 [Sandy Ryza] SPARK-5458. Refer to aggregateByKey instead of combineByKey in docs
fix python example of ALS in guide, use Rating instead of np.array.
Author: Davies Liu <davies@databricks.com>
Closes#4226 from davies/fix_als_guide and squashes the following commits:
1433d76 [Davies Liu] fix python example of als in guide
This is a trivial addendum to SPARK-4506, which was already resolved. noted by Asim Jalis in SPARK-4506.
Author: Sean Owen <sowen@cloudera.com>
Closes#4160 from srowen/SPARK-4506 and squashes the following commits:
5f5f7df [Sean Owen] Update more docs to reflect that standalone works in cluster mode
As per the JIRA. I copied the `spark.executor.extra*` text, but removed info that appears to be specific to the `executor` config and not `driver`.
Author: Sean Owen <sowen@cloudera.com>
Closes#4185 from srowen/SPARK-3852 and squashes the following commits:
f60a8a1 [Sean Owen] Document spark.driver.extra* configs
- Also fixed java link
Author: Jongyoul Lee <jongyoul@gmail.com>
Closes#4172 from jongyoul/SPARK-FIXDOC and squashes the following commits:
6be03e5 [Jongyoul Lee] [SPARK-5058] Part 2. Typos and broken URL - Also fixed java link
Follow up of #3925
/cc rxin
Author: scwf <wangfei1@huawei.com>
Closes#4095 from scwf/sql-doc and squashes the following commits:
97e311b [scwf] update sql doc since now expose only one version of the data type APIs
I've added documentation clarifying the particular lack of clarity highlighted in the relevant JIRA. I've also added code examples for this issue to clarify the explanation.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#4022 from ilganeli/SPARK-733 and squashes the following commits:
587def5 [Ilya Ganelin] Updated to clarify verbage
df3afd7 [Ilya Ganelin] Revert "Partially updated task metrics to make some vars private"
3f6c512 [Ilya Ganelin] Revert "Completed refactoring to make vars in TaskMetrics class private"
58034fb [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-733
4dc2cdb [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-733
3a38db1 [Ilya Ganelin] Verified documentation update by building via jekyll
33b5a2d [Ilya Ganelin] Added code examples for java and python
1fd59b2 [Ilya Ganelin] Updated documentation for accumulators to highlight lazy evaluation issue
5525c20 [Ilya Ganelin] Completed refactoring to make vars in TaskMetrics class private
c64da4f [Ilya Ganelin] Partially updated task metrics to make some vars private
Based on top of changes in https://github.com/apache/spark/pull/3806.
https://issues.apache.org/jira/browse/SPARK-1507
`--driver-cores` and `spark.driver.cores` for all cluster modes and `spark.yarn.am.cores` for yarn client mode.
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Author: WangTao <barneystinson@aliyun.com>
Closes#4018 from WangTaoTheTonic/SPARK-1507 and squashes the following commits:
01419d3 [WangTaoTheTonic] amend the args name
b255795 [WangTaoTheTonic] indet thing
d86557c [WangTaoTheTonic] some comments amend
43c9392 [WangTao] fix compile error
b39a100 [WangTao] specify # cores for ApplicationMaster
Forgot to remove this section in #4052.
Author: Xiangrui Meng <meng@databricks.com>
Closes#4053 from mengxr/SPARK-5254-update and squashes the following commits:
f295bde [Xiangrui Meng] remove developers section from spark.ml guide
The current statement in the user guide may deliver confusing messages to users. spark.ml contains high-level APIs for building ML pipelines. But it doesn't mean that spark.mllib is being deprecated.
First of all, the pipeline API is in its alpha stage and we need to see more use cases from the community to stabilizes it, which may take several releases. Secondly, the components in spark.ml are simple wrappers over spark.mllib implementations. Neither the APIs or the implementations from spark.mllib are being deprecated. We expect users use spark.ml pipeline APIs to build their ML pipelines, but we will keep supporting and adding features to spark.mllib. For example, there are many features in review at https://spark-prs.appspot.com/#mllib. So users should be comfortable with using spark.mllib features and expect more coming. The user guide needs to be updated to make the message clear.
Author: Xiangrui Meng <meng@databricks.com>
Closes#4052 from mengxr/SPARK-5254 and squashes the following commits:
6d5f1d3 [Xiangrui Meng] typo
0cc935b [Xiangrui Meng] update user guide to position spark.ml better
There is a discrepancy in WAL implementation and configuration doc.
Author: uncleGen <hustyugm@gmail.com>
Closes#3930 from uncleGen/master-clean-doc and squashes the following commits:
3a4245f [uncleGen] doc typo
8e407d3 [uncleGen] doc typo
Because major OS page sizes is about 4KB, the default value of spark.storage.memoryMapThreshold is integrated to 2 * 4096
Author: lewuathe <lewuathe@me.com>
Closes#3900 from Lewuathe/integrate-memoryMapThreshold and squashes the following commits:
e417acd [lewuathe] [SPARK-5073] Update docs/configuration
834aba4 [lewuathe] [SPARK-5073] Fix style
adcea33 [lewuathe] [SPARK-5073] Integrate memory map threshold to 2MB
fcce2e5 [lewuathe] [SPARK-5073] spark.storage.memoryMapThreshold have two default value
#3934 upgraded Mesos version so we should also fix docs right?
This issue is really minor so I don't file in JIRA.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#3982 from sarutak/fix-mesos-version and squashes the following commits:
9a86ee3 [Kousuke Saruta] Fixed mesos version from 0.18.1 to 0.21.0
... size
Ways to set Application Master's memory on yarn-client mode:
1. `spark.yarn.am.memory` in SparkConf or System Properties
2. default value 512m
Note: this arguments is only available in yarn-client mode.
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Closes#3607 from WangTaoTheTonic/SPARK4181 and squashes the following commits:
d5ceb1b [WangTaoTheTonic] spark.driver.memeory is used in both modes
6c1b264 [WangTaoTheTonic] rebase
b8410c0 [WangTaoTheTonic] minor optiminzation
ddcd592 [WangTaoTheTonic] fix the bug produced in rebase and some improvements
3bf70cc [WangTaoTheTonic] rebase and give proper hint
987b99d [WangTaoTheTonic] disable --driver-memory in client mode
2b27928 [WangTaoTheTonic] inaccurate description
b7acbb2 [WangTaoTheTonic] incorrect method invoked
2557c5e [WangTaoTheTonic] missing a single blank
42075b0 [WangTaoTheTonic] arrange the args and warn logging
69c7dba [WangTaoTheTonic] rebase
1960d16 [WangTaoTheTonic] fix wrong comment
7fa9e2e [WangTaoTheTonic] log a warning
f6bee0e [WangTaoTheTonic] docs issue
d619996 [WangTaoTheTonic] Merge branch 'master' into SPARK4181
b09c309 [WangTaoTheTonic] use code format
ab16bb5 [WangTaoTheTonic] fix bug and add comments
44e48c2 [WangTaoTheTonic] minor fix
6fd13e1 [WangTaoTheTonic] add overhead mem and remove some configs
0566bb8 [WangTaoTheTonic] yarn client mode Application Master memory size is same as driver memory size
This PR simply points to the IntelliJ wiki page instead of also including IntelliJ notes in the docs. The intent however is to also update the wiki page with updated tips. This is the text I propose for the IntelliJ section on the wiki. I realize it omits some of the existing instructions on the wiki, about enabling Hive, but I think those are actually optional.
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IntelliJ supports both Maven- and SBT-based projects. It is recommended, however, to import Spark as a Maven project. Choose "Import Project..." from the File menu, and select the `pom.xml` file in the Spark root directory.
It is fine to leave all settings at their default values in the Maven import wizard, with two caveats. First, it is usually useful to enable "Import Maven projects automatically", sincchanges to the project structure will automatically update the IntelliJ project.
Second, note the step that prompts you to choose active Maven build profiles. As documented above, some build configuration require specific profiles to be enabled. The same profiles that are enabled with `-P[profile name]` above may be enabled on this screen. For example, if developing for Hadoop 2.4 with YARN support, enable profiles `yarn` and `hadoop-2.4`.
These selections can be changed later by accessing the "Maven Projects" tool window from the View menu, and expanding the Profiles section.
"Rebuild Project" can fail the first time the project is compiled, because generate source files are not automatically generated. Try clicking the "Generate Sources and Update Folders For All Projects" button in the "Maven Projects" tool window to manually generate these sources.
Compilation may fail with an error like "scalac: bad option: -P:/home/jakub/.m2/repository/org/scalamacros/paradise_2.10.4/2.0.1/paradise_2.10.4-2.0.1.jar". If so, go to Preferences > Build, Execution, Deployment > Scala Compiler and clear the "Additional compiler options" field. It will work then although the option will come back when the project reimports.
Author: Sean Owen <sowen@cloudera.com>
Closes#3952 from srowen/SPARK-5136 and squashes the following commits:
f3baa66 [Sean Owen] Point to new IJ / Eclipse wiki link
016b7df [Sean Owen] Point to IntelliJ wiki page instead of also including IntelliJ notes in the docs
...xt
https://issues.apache.org/jira/browse/SPARK-2165
I still have 2 questions:
* If this config is not set, we should use yarn's corresponding value or a default value(like 2) on spark side?
* Is the config name best? Or "spark.yarn.am.maxAttempts"?
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Closes#3878 from WangTaoTheTonic/SPARK-2165 and squashes the following commits:
1416c83 [WangTaoTheTonic] use the name spark.yarn.maxAppAttempts
202ac85 [WangTaoTheTonic] rephrase some
afdfc99 [WangTaoTheTonic] more detailed description
91562c6 [WangTaoTheTonic] add support for setting maxAppAttempts in the ApplicationSubmissionContext
Author: Reynold Xin <rxin@databricks.com>
Closes#3903 from rxin/timeout-120 and squashes the following commits:
7c2138e [Reynold Xin] [SPARK-5093] Set spark.network.timeout to 120s consistently.
This patch disables output spec. validation for jobs launched through Spark Streaming, since this interferes with checkpoint recovery.
Hadoop OutputFormats have a `checkOutputSpecs` method which performs certain checks prior to writing output, such as checking whether the output directory already exists. SPARK-1100 added checks for FileOutputFormat, SPARK-1677 (#947) added a SparkConf configuration to disable these checks, and SPARK-2309 (#1088) extended these checks to run for all OutputFormats, not just FileOutputFormat.
In Spark Streaming, we might have to re-process a batch during checkpoint recovery, so `save` actions may be called multiple times. In addition to `DStream`'s own save actions, users might use `transform` or `foreachRDD` and call the `RDD` and `PairRDD` save actions. When output spec. validation is enabled, the second calls to these actions will fail due to existing output.
This patch automatically disables output spec. validation for jobs submitted by the Spark Streaming scheduler. This is done by using Scala's `DynamicVariable` to propagate the bypass setting without having to mutate SparkConf or introduce a global variable.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#3832 from JoshRosen/SPARK-4835 and squashes the following commits:
36eaf35 [Josh Rosen] Add comment explaining use of transform() in test.
6485cf8 [Josh Rosen] Add test case in Streaming; fix bug for transform()
7b3e06a [Josh Rosen] Remove Streaming-specific setting to undo this change; update conf. guide
bf9094d [Josh Rosen] Revise disableOutputSpecValidation() comment to not refer to Spark Streaming.
e581d17 [Josh Rosen] Deduplicate isOutputSpecValidationEnabled logic.
762e473 [Josh Rosen] [SPARK-4835] Disable validateOutputSpecs for Spark Streaming jobs.
Updated the broken link pointing to the KafkaWordCount example to the correct one.
Author: sigmoidanalytics <mayur@sigmoidanalytics.com>
Closes#3877 from sigmoidanalytics/patch-1 and squashes the following commits:
3e19b31 [sigmoidanalytics] Updated broken links
Changed projrect to project :)
Author: Akhil Das <akhld@darktech.ca>
Closes#3876 from akhld/patch-1 and squashes the following commits:
e0cf9ef [Akhil Das] Fixed typos in streaming-kafka-integration.md
`CACHE TABLE tbl` is now __eager__ by default not __lazy__
Author: luogankun <luogankun@gmail.com>
Closes#3773 from luogankun/SPARK-4930 and squashes the following commits:
cc17b7d [luogankun] [SPARK-4930][SQL][DOCS]Update SQL programming guide, add CACHE [LAZY] TABLE [AS SELECT] ...
bffe0e8 [luogankun] [SPARK-4930][SQL][DOCS]Update SQL programming guide, CACHE TABLE tbl is eager
Author: wangxiaojing <u9jing@gmail.com>
Closes#3818 from wangxiaojing/SPARK-4982 and squashes the following commits:
fe2ad5f [wangxiaojing] change stages to jobs
