This change abstracts the code that serves jars / files to executors so that
each RpcEnv can have its own implementation; the akka version uses the existing
HTTP-based file serving mechanism, while the netty versions uses the new
stream support added to the network lib, which makes file transfers benefit
from the easier security configuration of the network library, and should also
reduce overhead overall.
The change includes a small fix to TransportChannelHandler so that it propagates
user events to downstream handlers.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#9530 from vanzin/SPARK-11140.
Add label expression support for AM to restrict it runs on the specific set of nodes. I tested it locally and works fine.
sryza and vanzin please help to review, thanks a lot.
Author: jerryshao <sshao@hortonworks.com>
Closes#9800 from jerryshao/SPARK-7173.
This PR adds a sidebar menu when browsing the user guide of MLlib. It uses a YAML file to describe the structure of the documentation. It should be trivial to adapt this to the other projects.
Author: Timothy Hunter <timhunter@databricks.com>
Closes#9826 from thunterdb/spark-11835.
jira: https://issues.apache.org/jira/browse/SPARK-11689
Add simple user guide for LDA under spark.ml and example code under examples/. Use include_example to include example code in the user guide markdown. Check SPARK-11606 for instructions.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#9722 from hhbyyh/ldaMLExample.
Added tests for function that are reported as masked, to make sure the base:: or stats:: function can be called.
For those we can't call, added them to SparkR programming guide.
It would seem to me `table, sample, subset, filter, cov` not working are not actually expected - I investigated/experimented with them but couldn't get them to work. It looks like as they are defined in base or stats they are missing the S3 generic, eg.
```
> methods("transform")
[1] transform,ANY-method transform.data.frame
[3] transform,DataFrame-method transform.default
see '?methods' for accessing help and source code
> methods("subset")
[1] subset.data.frame subset,DataFrame-method subset.default
[4] subset.matrix
see '?methods' for accessing help and source code
Warning message:
In .S3methods(generic.function, class, parent.frame()) :
function 'subset' appears not to be S3 generic; found functions that look like S3 methods
```
Any idea?
More information on masking:
http://www.ats.ucla.edu/stat/r/faq/referencing_objects.htmhttp://www.sfu.ca/~sweldon/howTo/guide4.pdf
This is what the output doc looks like (minus css):
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#9785 from felixcheung/rmasked.
This PR includes:
* Update SparkR:::glm, SparkR:::summary API docs.
* Update SparkR machine learning user guide and example codes to show:
* supporting feature interaction in R formula.
* summary for gaussian GLM model.
* coefficients for binomial GLM model.
mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9727 from yanboliang/spark-11684.
Based on my conversions with people, I believe the consensus is that the coarse-grained mode is more stable and easier to reason about. It is best to use that as the default rather than the more flaky fine-grained mode.
Author: Reynold Xin <rxin@databricks.com>
Closes#9795 from rxin/SPARK-11809.
JIRA issue https://issues.apache.org/jira/browse/SPARK-11728.
The ml-ensembles.md file contains `OneVsRestExample`. Instead of writing new code files of two `OneVsRestExample`s, I use two existing files in the examples directory, they are `OneVsRestExample.scala` and `JavaOneVsRestExample.scala`.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#9716 from yinxusen/SPARK-11728.
This PR adds a new option `spark.sql.hive.thriftServer.singleSession` for disabling multi-session support in the Thrift server.
Note that this option is added as a Spark configuration (retrieved from `SparkConf`) rather than Spark SQL configuration (retrieved from `SQLConf`). This is because all SQL configurations are session-ized. Since multi-session support is by default on, no JDBC connection can modify global configurations like the newly added one.
Author: Cheng Lian <lian@databricks.com>
Closes#9740 from liancheng/spark-11089.single-session-option.
MESOS_NATIVE_LIBRARY was renamed in favor of MESOS_NATIVE_JAVA_LIBRARY. This commit fixes the reference in the documentation.
Author: Philipp Hoffmann <mail@philipphoffmann.de>
Closes#9768 from philipphoffmann/patch-2.
In the **[Task Launching Overheads](http://spark.apache.org/docs/latest/streaming-programming-guide.html#task-launching-overheads)** section,
>Task Serialization: Using Kryo serialization for serializing tasks can reduce the task sizes, and therefore reduce the time taken to send them to the slaves.
as we known **Task Serialization** is configuration by **spark.closure.serializer** parameter, but currently only the Java serializer is supported. If we set **spark.closure.serializer** to **org.apache.spark.serializer.KryoSerializer**, then this will throw a exception.
Author: yangping.wu <wyphao.2007@163.com>
Closes#9734 from 397090770/397090770-patch-1.
`<\code>` end tag missing backslash in
docs/configuration.md{L308-L339}
ref #8795
Author: Kai Jiang <jiangkai@gmail.com>
Closes#9715 from vectorijk/minor-typo-docs.
Use LibSVM data source rather than MLUtils.loadLibSVMFile to load DataFrame, include:
* Use libSVM data source for all example codes under examples/ml, and remove unused import.
* Use libSVM data source for user guides under ml-*** which were omitted by #8697.
* Fix bug: We should use ```sqlContext.read().format("libsvm").load(path)``` at Java side, but the API doc and user guides misuse as ```sqlContext.read.format("libsvm").load(path)```.
* Code cleanup.
mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9690 from yanboliang/spark-11723.
I have made the required changes and tested.
Kindly review the changes.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Closes#9407 from rishabhbhardwaj/SPARK-11445.
Add Python example code for Multilayer Perceptron Classification, and make example code in user guide document testable. mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9594 from yanboliang/spark-11629.
tdas koeninger
This updates the Spark Streaming + Kafka Integration Guide doc with a working method to access the offsets of a `KafkaRDD` through Python.
Author: Nick Evans <me@nicolasevans.org>
Closes#9289 from manygrams/update_kafka_direct_python_docs.
This patch modifies Spark's closure cleaner (and a few other places) to use ASM 5, which is necessary in order to support cleaning of closures that were compiled by Java 8.
In order to avoid ASM dependency conflicts, Spark excludes ASM from all of its dependencies and uses a shaded version of ASM 4 that comes from `reflectasm` (see [SPARK-782](https://issues.apache.org/jira/browse/SPARK-782) and #232). This patch updates Spark to use a shaded version of ASM 5.0.4 that was published by the Apache XBean project; the POM used to create the shaded artifact can be found at https://github.com/apache/geronimo-xbean/blob/xbean-4.4/xbean-asm5-shaded/pom.xml.
http://movingfulcrum.tumblr.com/post/80826553604/asm-framework-50-the-missing-migration-guide was a useful resource while upgrading the code to use the new ASM5 opcodes.
I also added a new regression tests in the `java8-tests` subproject; the existing tests were insufficient to catch this bug, which only affected Scala 2.11 user code which was compiled targeting Java 8.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#9512 from JoshRosen/SPARK-6152.
This fix is to add one line to explain the current behavior of Spark SQL when writing Parquet files. All columns are forced to be nullable for compatibility reasons.
Author: gatorsmile <gatorsmile@gmail.com>
Closes#9314 from gatorsmile/lossNull.
I have tested it on my local, it is working fine, please review
Author: sachin aggarwal <different.sachin@gmail.com>
Closes#9539 from agsachin/SPARK-11552-real.
1) kafkaStreams is a list. The list should be unpacked when passing it into the streaming context union method, which accepts a variable number of streams.
2) print() should be pprint() for pyspark.
This contribution is my original work, and I license the work to the project under the project's open source license.
Author: chriskang90 <jckang@uchicago.edu>
Closes#9545 from c-kang/streaming_python_typo.
It doesn't show up as a hyperlink currently. It will show up as a hyperlink after this change.
Author: Rohit Agarwal <mindprince@gmail.com>
Closes#9544 from mindprince/patch-2.
Doc change to align with HiveConf default in terms of where to create `warehouse` directory.
Author: xin Wu <xinwu@us.ibm.com>
Closes#9365 from xwu0226/spark-10046-commit.
This snippet seems to be mistakenly introduced at two places in #5348.
Author: Rohit Agarwal <mindprince@gmail.com>
Closes#9540 from mindprince/patch-1.
We should use ```coefficients``` rather than ```weights``` in user guide that freshman can get the right conventional name at the outset. mengxr vectorijk
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9493 from yanboliang/docs-coefficients.
Spark should build against Scala 2.10.5, since that includes a fix for Scaladoc that will fix doc snapshot publishing: https://issues.scala-lang.org/browse/SI-8479
Author: Josh Rosen <joshrosen@databricks.com>
Closes#9450 from JoshRosen/upgrade-to-scala-2.10.5.
The trim_codeblock(lines) function in include_example.rb removes some blank lines in the code.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#9400 from yinxusen/SPARK-11443.
I have made the required changes in mllib-naive-bayes.md/mllib-isotonic-regression.md and also verified them.
Kindle Review it.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Closes#9353 from rishabhbhardwaj/SPARK-11383.
Remove Hadoop third party distro page, and move Hadoop cluster config info to configuration page
CC pwendell
Author: Sean Owen <sowen@cloudera.com>
Closes#9298 from srowen/SPARK-11305.
Mapping spark.driver.memory from sparkEnvir to spark-submit commandline arguments.
shivaram suggested that we possibly add other spark.driver.* properties - do we want to add all of those? I thought those could be set in SparkConf?
sun-rui
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#9290 from felixcheung/rdrivermem.
