- Nov 23, 2015
-
-
Bryan Cutler authored
[SPARK-10560][PYSPARK][MLLIB][DOCS] Make StreamingLogisticRegressionWithSGD Python API equal to Scala one This is to bring the API documentation of StreamingLogisticReressionWithSGD and StreamingLinearRegressionWithSGC in line with the Scala versions. -Fixed the algorithm descriptions -Added default values to parameter descriptions -Changed StreamingLogisticRegressionWithSGD regParam to default to 0, as in the Scala version Author: Bryan Cutler <bjcutler@us.ibm.com> Closes #9141 from BryanCutler/StreamingLogisticRegressionWithSGD-python-api-sync.
-
Josh Rosen authored
This patch attempts to speed up VersionsSuite by storing fetched Hive JARs in an Ivy cache that persists across tests runs. If `SPARK_VERSIONS_SUITE_IVY_PATH` is set, that path will be used for the cache; if it is not set, VersionsSuite will create a temporary Ivy cache which is deleted after the test completes. Author: Josh Rosen <joshrosen@databricks.com> Closes #9624 from JoshRosen/SPARK-9866.
-
Marcelo Vanzin authored
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.
-
Marcelo Vanzin authored
There's a very narrow race here where it would be possible for the timeout handler to close a channel after the client factory verified that the channel was still active. This change makes sure the client is marked as being recently in use so that the timeout handler does not close it until a new timeout cycle elapses. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #9853 from vanzin/SPARK-11865.
-
Luciano Resende authored
Author: Luciano Resende <lresende@apache.org> Closes #9892 from lresende/SPARK-11910.
-
Davies Liu authored
They should use the existing SQLContext. Author: Davies Liu <davies@databricks.com> Closes #9914 from davies/create_udf.
-
Josh Rosen authored
This patch removes `spark.driver.allowMultipleContexts=true` from our test configuration. The multiple SparkContexts check was originally disabled because certain tests suites in SQL needed to create multiple contexts. As far as I know, this configuration change is no longer necessary, so we should remove it in order to make it easier to find test cleanup bugs. Author: Josh Rosen <joshrosen@databricks.com> Closes #9865 from JoshRosen/SPARK-4424.
-
Mortada Mehyar authored
this currently breaks for python3 because `string` module doesn't have `letters` anymore, instead `ascii_letters` should be used Author: Mortada Mehyar <mortada.mehyar@gmail.com> Closes #9797 from mortada/python3_fix.
-
Yanbo Liang authored
[SPARK-11920][ML][DOC] ML LinearRegression should use correct dataset in examples and user guide doc ML ```LinearRegression``` use ```data/mllib/sample_libsvm_data.txt``` as dataset in examples and user guide doc, but it's actually classification dataset rather than regression dataset. We should use ```data/mllib/sample_linear_regression_data.txt``` instead. The deeper causes is that ```LinearRegression``` with "normal" solver can not solve this dataset correctly, may be due to the ill condition and unreasonable label. This issue has been reported at [SPARK-11918](https://issues.apache.org/jira/browse/SPARK-11918). It will confuse users if they run the example code but get exception, so we should make this change which can clearly illustrate the usage of ```LinearRegression``` algorithm. Author: Yanbo Liang <ybliang8@gmail.com> Closes #9905 from yanboliang/spark-11920.
-
Marcelo Vanzin authored
This way the timeout handling code can correctly close "hung" channels that are processing streams. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #9747 from vanzin/SPARK-11762.
-
jerryshao authored
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.
-
Wenchen Fan authored
Author: Wenchen Fan <wenchen@databricks.com> Closes #9898 from cloud-fan/agg.
-
Wenchen Fan authored
Author: Wenchen Fan <wenchen@databricks.com> Closes #9906 from cloud-fan/nullable.
-
Wenchen Fan authored
We should use `InternalRow.isNullAt` to check if the field is null before calling `InternalRow.getXXX` Thanks gatorsmile who discovered this bug. Author: Wenchen Fan <wenchen@databricks.com> Closes #9904 from cloud-fan/null.
-
Xiu Guo authored
Can someone review my code to make sure I'm not missing anything? Thanks! Author: Xiu Guo <xguo27@gmail.com> Author: Xiu Guo <guoxi@us.ibm.com> Closes #9612 from xguo27/SPARK-11628.
-
BenFradet authored
There is an unhandled case in the transform method of VectorAssembler if one of the input columns doesn't have one of the supported type DoubleType, NumericType, BooleanType or VectorUDT. So, if you try to transform a column of StringType you get a cryptic "scala.MatchError: StringType". This PR aims to fix this, throwing a SparkException when dealing with an unknown column type. Author: BenFradet <benjamin.fradet@gmail.com> Closes #9885 from BenFradet/SPARK-11902.
-
- Nov 22, 2015
-
-
Yanbo Liang authored
Like [SPARK-11852](https://issues.apache.org/jira/browse/SPARK-11852), ```k``` is params and we should save it under ```metadata/``` rather than both under ```data/``` and ```metadata/```. Refactor the constructor of ```ml.feature.PCAModel``` to take only ```pc``` but construct ```mllib.feature.PCAModel``` inside ```transform```. Author: Yanbo Liang <ybliang8@gmail.com> Closes #9897 from yanboliang/spark-11912.
-
Timothy Hunter authored
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.
-
Joseph K. Bradley authored
I believe this works for general estimators within CrossValidator, including compound estimators. (See the complex unit test.) Added read/write for all 3 Evaluators as well. CC: mengxr yanboliang Author: Joseph K. Bradley <joseph@databricks.com> Closes #9848 from jkbradley/cv-io.
-
Xiangrui Meng authored
We used the name `Dataset` to refer to `SchemaRDD` in 1.2 in ML pipelines and created this example file. Since `Dataset` has a new meaning in Spark 1.6, we should rename it to avoid confusion. This PR also removes support for dense format to simplify the example code. cc: yinxusen Author: Xiangrui Meng <meng@databricks.com> Closes #9873 from mengxr/SPARK-11895.
-
Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-11908 We should add NullType support to RowEncoder. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #9891 from viirya/rowencoder-nulltype.
-
- Nov 21, 2015
-
-
Reynold Xin authored
1. Renamed map to mapGroup, flatMap to flatMapGroup. 2. Renamed asKey -> keyAs. 3. Added more documentation. 4. Changed type parameter T to V on GroupedDataset. 5. Added since versions for all functions. Author: Reynold Xin <rxin@databricks.com> Closes #9880 from rxin/SPARK-11899.
-
Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #9882 from rxin/SPARK-11901.
-
Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #9881 from rxin/SPARK-11900.
-
Wenchen Fan authored
seems scala 2.11 doesn't support: define private methods in `trait xxx` and use it in `object xxx extend xxx`. Author: Wenchen Fan <wenchen@databricks.com> Closes #9879 from cloud-fan/follow.
-
- Nov 20, 2015
-
-
Xiangrui Meng authored
This reverts commit e359d5dc.
-
Michael Armbrust authored
-
Michael Armbrust authored
Author: Michael Armbrust <michael@databricks.com> Closes #9871 from marmbrus/scala211-break.
-
Michael Armbrust authored
In this PR I delete a method that breaks type inference for aggregators (only in the REPL) The error when this method is present is: ``` <console>:38: error: missing parameter type for expanded function ((x$2) => x$2._2) ds.groupBy(_._1).agg(sum(_._2), sum(_._3)).collect() ``` Author: Michael Armbrust <michael@databricks.com> Closes #9870 from marmbrus/dataset-repl-agg. -
Nong Li authored
This mainly moves SqlNewHadoopRDD to the sql package. There is some state that is shared between core and I've left that in core. This allows some other associated minor cleanup. Author: Nong Li <nong@databricks.com> Closes #9845 from nongli/spark-11787.
-
Vikas Nelamangala authored
Author: Vikas Nelamangala <vikasnelamangala@Vikass-MacBook-Pro.local> Closes #9689 from vikasnp/master.
-
Michael Armbrust authored
#theScaryParts (i.e. changes to the repl, executor classloaders and codegen)... Author: Michael Armbrust <michael@databricks.com> Author: Yin Huai <yhuai@databricks.com> Closes #9825 from marmbrus/dataset-replClasses2.
-
felixcheung authored
[SPARK-11756][SPARKR] Fix use of aliases - SparkR can not output help information for SparkR:::summary correctly Fix use of aliases and changes uses of rdname and seealso `aliases` is the hint for `?` - it should not be linked to some other name - those should be seealso https://cran.r-project.org/web/packages/roxygen2/vignettes/rd.html Clean up usage on family, as multiple use of family with the same rdname is causing duplicated See Also html blocks (like http://spark.apache.org/docs/latest/api/R/count.html) Also changing some rdname for dplyr-like variant for better R user visibility in R doc, eg. rbind, summary, mutate, summarize shivaram yanboliang Author: felixcheung <felixcheung_m@hotmail.com> Closes #9750 from felixcheung/rdocaliases.
-
Jean-Baptiste Onofré authored
[SPARK-11716][SQL] UDFRegistration just drops the input type when re-creating the UserDefinedFunction https://issues.apache.org/jira/browse/SPARK-11716 This is one is #9739 and a regression test. When commit it, please make sure the author is jbonofre. You can find the original PR at https://github.com/apache/spark/pull/9739 closes #9739 Author: Jean-Baptiste Onofré <jbonofre@apache.org> Author: Yin Huai <yhuai@databricks.com> Closes #9868 from yhuai/SPARK-11716.
-
Josh Rosen authored
In PersistenceEngineSuite, we do not call `close()` on the PersistenceEngine at the end of the test. For the ZooKeeperPersistenceEngine, this causes us to leak a ZooKeeper client, causing the logs of unrelated tests to be periodically spammed with connection error messages from that client: ``` 15/11/20 05:13:35.789 pool-1-thread-1-ScalaTest-running-PersistenceEngineSuite-SendThread(localhost:15741) INFO ClientCnxn: Opening socket connection to server localhost/127.0.0.1:15741. Will not attempt to authenticate using SASL (unknown error) 15/11/20 05:13:35.790 pool-1-thread-1-ScalaTest-running-PersistenceEngineSuite-SendThread(localhost:15741) WARN ClientCnxn: Session 0x15124ff48dd0000 for server null, unexpected error, closing socket connection and attempting reconnect java.net.ConnectException: Connection refused at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at org.apache.zookeeper.ClientCnxnSocketNIO.doTransport(ClientCnxnSocketNIO.java:350) at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:1068) ``` This patch fixes this by using a `finally` block. Author: Josh Rosen <joshrosen@databricks.com> Closes #9864 from JoshRosen/close-zookeeper-client-in-tests.
-
Shixiong Zhu authored
[SPARK-11870][STREAMING][PYSPARK] Rethrow the exceptions in TransformFunction and TransformFunctionSerializer TransformFunction and TransformFunctionSerializer don't rethrow the exception, so when any exception happens, it just return None. This will cause some weird NPE and confuse people. Author: Shixiong Zhu <shixiong@databricks.com> Closes #9847 from zsxwing/pyspark-streaming-exception.
-
Nong Li authored
Hive has since changed this behavior as well. https://issues.apache.org/jira/browse/HIVE-3454 Author: Nong Li <nong@databricks.com> Author: Nong Li <nongli@gmail.com> Author: Yin Huai <yhuai@databricks.com> Closes #9685 from nongli/spark-11724.
-
Josh Rosen authored
This patch reduces some RPC timeouts in order to speed up the slow "AkkaUtilsSuite.remote fetch ssl on - untrusted server", which used to take two minutes to run. Author: Josh Rosen <joshrosen@databricks.com> Closes #9869 from JoshRosen/SPARK-11650.
-
Wenchen Fan authored
before this PR, when users try to get an encoder for an un-supported class, they will only get a very simple error message like `Encoder for type xxx is not supported`. After this PR, the error message become more friendly, for example: ``` No Encoder found for abc.xyz.NonEncodable - array element class: "abc.xyz.NonEncodable" - field (class: "scala.Array", name: "arrayField") - root class: "abc.xyz.AnotherClass" ``` Author: Wenchen Fan <wenchen@databricks.com> Closes #9810 from cloud-fan/error-message.
-
Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-11817 Instead of return None, we should truncate the fractional seconds to prevent inserting NULL. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #9834 from viirya/truncate-fractional-sec.
-
