SPARK-1786: Edge Partition Serialization #1

jegonzal · 2014-05-10T01:59:30Z

This appears to address the issue with edge partition serialization. The solution appears to be just registering the PrimitiveKeyOpenHashMap. However I noticed that we appear to have forked that code in GraphX but retained the same name (which is confusing). I also renamed our local copy to GraphXPrimitiveKeyOpenHashMap. We should consider dropping that and using the one in Spark if possible.

… files Tolerate empty strings in PythonRDD Author: Kan Zhang <[email protected]> Closes apache#644 from kanzhang/SPARK-1690 and squashes the following commits: c62ad33 [Kan Zhang] Adding Python doctest 473ec4b [Kan Zhang] [SPARK-1690] Tolerating empty elements when saving Python RDD to text files

This PR makes the following changes, primarily in e4fbd32: 1. *Unify RDDs to avoid zipPartitions.* A graph used to be four RDDs: vertices, edges, routing table, and triplet view. This commit merges them down to two: vertices (with routing table), and edges (with replicated vertices). 2. *Avoid duplicate shuffle in graph building.* We used to do two shuffles when building a graph: one to extract routing information from the edges and move it to the vertices, and another to find nonexistent vertices referred to by edges. With this commit, the latter is done as a side effect of the former. 3. *Avoid no-op shuffle when joins are fully eliminated.* This is a side effect of unifying the edges and the triplet view. 4. *Join elimination for mapTriplets.* 5. *Ship only the needed vertex attributes when upgrading the triplet view.* If the triplet view already contains source attributes, and we now need both attributes, only ship destination attributes rather than re-shipping both. This is done in `ReplicatedVertexView#upgrade`. Author: Ankur Dave <[email protected]> Closes apache#497 from ankurdave/unify-rdds and squashes the following commits: 332ab43 [Ankur Dave] Merge remote-tracking branch 'apache-spark/master' into unify-rdds 4933e2e [Ankur Dave] Exclude RoutingTable from binary compatibility check 5ba8789 [Ankur Dave] Add GraphX upgrade guide from Spark 0.9.1 13ac845 [Ankur Dave] Merge remote-tracking branch 'apache-spark/master' into unify-rdds a04765c [Ankur Dave] Remove unnecessary toOps call 57202e8 [Ankur Dave] Replace case with pair parameter 75af062 [Ankur Dave] Add explicit return types 04d3ae5 [Ankur Dave] Convert implicit parameter to context bound c88b269 [Ankur Dave] Revert upgradeIterator to if-in-a-loop 0d3584c [Ankur Dave] EdgePartition.size should be val 2a928b2 [Ankur Dave] Set locality wait 10b3596 [Ankur Dave] Clean up public API ae36110 [Ankur Dave] Fix style errors e4fbd32 [Ankur Dave] Unify GraphImpl RDDs + other graph load optimizations d6d60e2 [Ankur Dave] In GraphLoader, coalesce to minEdgePartitions 62c7b78 [Ankur Dave] In Analytics, take PageRank numIter d64e8d4 [Ankur Dave] Log current Pregel iteration

ankurdave · 2014-05-10T21:50:42Z

It seems apache#497 is about to be merged, so could you open a new PR against apache/spark with this and jegonzal#1?

…Suite failure TL;DR is there is a bit of JAR hell trouble with Netty, that can be mostly resolved and will resolve a test failure. I hit the error described at http://apache-spark-user-list.1001560.n3.nabble.com/SparkContext-startup-time-out-td1753.html while running FlumeStreamingSuite, and have for a short while (is it just me?) velvia notes: "I have found a workaround. If you add akka 2.2.4 to your dependencies, then everything works, probably because akka 2.2.4 brings in newer version of Jetty." There are at least 3 versions of Netty in play in the build: - the new Flume 1.4.0 dependency brings in io.netty:netty:3.4.0.Final, and that is the immediate problem - the custom version of akka 2.2.3 depends on io.netty:netty:3.6.6. - but, Spark Core directly uses io.netty:netty-all:4.0.17.Final The POMs try to exclude other versions of netty, but are excluding org.jboss.netty:netty, when in fact older versions of io.netty:netty (not netty-all) are also an issue. The org.jboss.netty:netty excludes are largely unnecessary. I replaced many of them with io.netty:netty exclusions until everything agreed on io.netty:netty-all:4.0.17.Final. But this didn't work, since Akka 2.2.3 doesn't work with Netty 4.x. Down-grading to 3.6.6.Final across the board made some Spark code not compile. If the build *keeps* io.netty:netty:3.6.6.Final as well, everything seems to work. Part of the reason seems to be that Netty 3.x used the old `org.jboss.netty` packages. This is less than ideal, but is no worse than the current situation. So this PR resolves the issue and improves the JAR hell, even if it leaves the existing theoretical Netty 3-vs-4 conflict: - Remove org.jboss.netty excludes where possible, for clarity; they're not needed except with Hadoop artifacts - Add io.netty:netty excludes where needed -- except, let akka keep its io.netty:netty - Change a bit of test code that actually depended on Netty 3.x, to use 4.x equivalent - Update SBT build accordingly A better change would be to update Akka far enough such that it agrees on Netty 4.x, but I don't know if that's feasible. Author: Sean Owen <[email protected]> Closes apache#723 from srowen/SPARK-1789 and squashes the following commits: 43661b7 [Sean Owen] Update and add Netty excludes to prevent some JAR conflicts that cause test issues

SparkSubmit ignores `--jars` for YARN client. This is a bug. This PR also automatically adds the application jar to `spark.jar`. Previously, when running as yarn-client, you must specify the jar additionally through `--files` (because `--jars` didn't work). Now you don't have to explicitly specify it through either. Tested on a YARN cluster. Author: Andrew Or <[email protected]> Closes apache#710 from andrewor14/yarn-jars and squashes the following commits: 35d1928 [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-jars c27bf6c [Andrew Or] For yarn-cluster and python, do not add primaryResource to spark.jar c92c5bf [Andrew Or] Minor cleanups 269f9f3 [Andrew Or] Fix format 013d840 [Andrew Or] Fix tests 1407474 [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-jars 3bb75e8 [Andrew Or] Allow SparkSubmit --jars to take effect in yarn-client mode

More info at. sbt/sbt#1010 Author: Prashant Sharma <[email protected]> Closes apache#525 from ScrapCodes/sbt-inc-opt and squashes the following commits: ba8fa42 [Prashant Sharma] Enabled incremental build that comes with sbt 0.13.2

Author: witgo <[email protected]> Closes apache#728 from witgo/scala_home and squashes the following commits: cdfd8be [witgo] Merge branch 'master' of https://github.com/apache/spark into scala_home fac094a [witgo] remove outdated runtime Information scala home

This patch adds better balancing when performing a repartition of an RDD. Previously the elements in the RDD were hash partitioned, meaning if the RDD was skewed certain partitions would end up being very large. This commit adds load balancing of elements across the repartitioned RDD splits. The load balancing is not perfect: a given output partition can have up to N more elements than the average if there are N input partitions. However, some randomization is used to minimize the probabiliy that this happens. Author: Patrick Wendell <[email protected]> Closes apache#727 from pwendell/load-balance and squashes the following commits: f9da752 [Patrick Wendell] Response to Matei's feedback acfa46a [Patrick Wendell] SPARK-1770: Load balance elements when repartitioning.

The previous check didn't account for the fact that the default deploy mode is "client" unless otherwise specified. Also, this sets the more narrowly defined SPARK_DRIVER_MEMORY instead of setting SPARK_MEM. Author: Patrick Wendell <[email protected]> Closes apache#730 from pwendell/spark-submit and squashes the following commits: 430b98f [Patrick Wendell] Feedback from Aaron e788edf [Patrick Wendell] Changes based on Aaron's feedback f508146 [Patrick Wendell] SPARK-1652: Set driver memory correctly in spark-submit.

Their was a minor bug in which negative partition ids could be generated when constructing a 2D partitioning of a graph. This could lead to an inefficient 2D partition for large vertex id values. Author: Joseph E. Gonzalez <[email protected]> Closes apache#709 from jegonzal/fix_2d_partitioning and squashes the following commits: 937c562 [Joseph E. Gonzalez] fixing bug in 2d partitioning algorithm where negative partition ids could be generated.

This appears to address the issue with edge partition serialization. The solution appears to be just registering the `PrimitiveKeyOpenHashMap`. However I noticed that we appear to have forked that code in GraphX but retained the same name (which is confusing). I also renamed our local copy to `GraphXPrimitiveKeyOpenHashMap`. We should consider dropping that and using the one in Spark if possible. Author: Ankur Dave <[email protected]> Author: Joseph E. Gonzalez <[email protected]> Closes apache#724 from jegonzal/edge_partition_serialization and squashes the following commits: b0a525a [Ankur Dave] Disable reference tracking to fix serialization test bb7f548 [Ankur Dave] Add failing test for EdgePartition Kryo serialization 67dac22 [Joseph E. Gonzalez] Making EdgePartition serializable.

This reverts commit a6b02fb.

The main issue this patch fixes is [SPARK-1772](https://issues.apache.org/jira/browse/SPARK-1772), in which Executors may not die when fatal exceptions (e.g., OOM) are thrown. This patch causes Executors to delegate to the ExecutorUncaughtExceptionHandler when a fatal exception is thrown. This patch also continues the fight in the neverending war against `case t: Throwable =>`, by only catching Exceptions in many places, and adding a wrapper for Threads and Runnables to make sure any uncaught exceptions are at least printed to the logs. It also turns out that it is unlikely that the IndestructibleActorSystem actually works, given testing ([here](https://gist.github.com/aarondav/ca1f0cdcd50727f89c0d)). The uncaughtExceptionHandler is not called from the places that we expected it would be. [SPARK-1620](https://issues.apache.org/jira/browse/SPARK-1620) deals with part of this issue, but refactoring our Actor Systems to ensure that exceptions are dealt with properly is a much bigger change, outside the scope of this PR. Author: Aaron Davidson <[email protected]> Closes apache#715 from aarondav/throwable and squashes the following commits: f9b9bfe [Aaron Davidson] Remove other redundant 'throw e' e937a0a [Aaron Davidson] Address Prashant and Matei's comments 1867867 [Aaron Davidson] [RFC] SPARK-1772 Stop catching Throwable, let Executors die

Enabled Mesos (0.18.1) dependency with shaded protobuf Why is this needed? Avoids any protobuf version collision between Mesos and any other dependency in Spark e.g. Hadoop HDFS 2.2+ or 1.0.4. Ticket: https://issues.apache.org/jira/browse/SPARK-1806 * Should close https://issues.apache.org/jira/browse/SPARK-1433 Author berngp Author: Bernardo Gomez Palacio <[email protected]> Closes apache#741 from berngp/feature/SPARK-1806 and squashes the following commits: 5d70646 [Bernardo Gomez Palacio] SPARK-1806: Upgrade Mesos dependency to 0.18.1

…tFile() https://issues.apache.org/jira/browse/SPARK-1757 The first test succeeds, but the second test fails with exception: ``` [info] - save and load case class RDD with Nones as parquet *** FAILED *** (14 milliseconds) [info] java.lang.RuntimeException: Unsupported datatype StructType(List()) [info] at scala.sys.package$.error(package.scala:27) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetRelation.scala:201) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235) [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) [info] at scala.collection.immutable.List.foreach(List.scala:318) [info] at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) [info] at scala.collection.AbstractTraversable.map(Traversable.scala:105) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.convertFromAttributes(ParquetRelation.scala:234) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetRelation.scala:267) [info] at org.apache.spark.sql.parquet.ParquetRelation$.createEmpty(ParquetRelation.scala:143) [info] at org.apache.spark.sql.parquet.ParquetRelation$.create(ParquetRelation.scala:122) [info] at org.apache.spark.sql.execution.SparkStrategies$ParquetOperations$.apply(SparkStrategies.scala:139) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) [info] at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) [info] at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:264) [info] at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:264) [info] at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:265) [info] at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:265) [info] at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:268) [info] at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:268) [info] at org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(SchemaRDDLike.scala:66) [info] at org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:98) ``` Author: Andrew Ash <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#690 from ash211/rdd-parquet-save and squashes the following commits: 747a0b9 [Andrew Ash] Merge pull request #1 from marmbrus/pr/690 54bd00e [Michael Armbrust] Need to put Option first since Option <: Seq. 8f3f281 [Andrew Ash] SPARK-1757 Add failing test for saving SparkSQL Schemas with Option[?] fields as parquet

LabelPropagation: Fix compile errors and style; rename; add test

Currently, expression does not support the "constant null" well in constant folding. e.g. Sum(a, 0) actually always produces Literal(0, NumericType) in runtime. For example: ``` explain select isnull(key+null) from src; == Logical Plan == Project [HiveGenericUdf#isnull((key#30 + CAST(null, IntegerType))) AS c_0#28] MetastoreRelation default, src, None == Optimized Logical Plan == Project [true AS c_0#28] MetastoreRelation default, src, None == Physical Plan == Project [true AS c_0#28] HiveTableScan [], (MetastoreRelation default, src, None), None ``` I've create a new Optimization rule called NullPropagation for such kind of constant folding. Author: Cheng Hao <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#482 from chenghao-intel/optimize_constant_folding and squashes the following commits: 2f14b50 [Cheng Hao] Fix code style issues 68b9fad [Cheng Hao] Remove the Literal pattern matching for NullPropagation 29c8166 [Cheng Hao] Update the code for feedback of code review 50444cc [Cheng Hao] Remove the unnecessary null checking 80f9f18 [Cheng Hao] Update the UnitTest for aggregation constant folding 27ea3d7 [Cheng Hao] Fix Constant Folding Bugs & Add More Unittests b28e03a [Cheng Hao] Merge pull request #1 from marmbrus/pr/482 9ccefdb [Michael Armbrust] Add tests for optimized expression evaluation. 543ef9d [Cheng Hao] fix code style issues 9cf0396 [Cheng Hao] update code according to the code review comment 536c005 [Cheng Hao] Add Exceptional case for constant folding 3c045c7 [Cheng Hao] Optimize the Constant Folding by adding more rules 2645d4f [Cheng Hao] Constant Folding(null propagation) (cherry picked from commit 3eb53bd) Signed-off-by: Reynold Xin <[email protected]>

…tFile() https://issues.apache.org/jira/browse/SPARK-1757 The first test succeeds, but the second test fails with exception: ``` [info] - save and load case class RDD with Nones as parquet *** FAILED *** (14 milliseconds) [info] java.lang.RuntimeException: Unsupported datatype StructType(List()) [info] at scala.sys.package$.error(package.scala:27) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetRelation.scala:201) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235) [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) [info] at scala.collection.immutable.List.foreach(List.scala:318) [info] at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) [info] at scala.collection.AbstractTraversable.map(Traversable.scala:105) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.convertFromAttributes(ParquetRelation.scala:234) [info] at org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetRelation.scala:267) [info] at org.apache.spark.sql.parquet.ParquetRelation$.createEmpty(ParquetRelation.scala:143) [info] at org.apache.spark.sql.parquet.ParquetRelation$.create(ParquetRelation.scala:122) [info] at org.apache.spark.sql.execution.SparkStrategies$ParquetOperations$.apply(SparkStrategies.scala:139) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) [info] at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) [info] at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) [info] at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:264) [info] at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:264) [info] at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:265) [info] at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:265) [info] at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:268) [info] at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:268) [info] at org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(SchemaRDDLike.scala:66) [info] at org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:98) ``` Author: Andrew Ash <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#690 from ash211/rdd-parquet-save and squashes the following commits: 747a0b9 [Andrew Ash] Merge pull request #1 from marmbrus/pr/690 54bd00e [Michael Armbrust] Need to put Option first since Option <: Seq. 8f3f281 [Andrew Ash] SPARK-1757 Add failing test for saving SparkSQL Schemas with Option[?] fields as parquet (cherry picked from commit 156df87) Signed-off-by: Reynold Xin <[email protected]>

A straightforward implementation of LPA algorithm for detecting graph communities using the Pregel framework. Amongst the growing literature on community detection algorithms in networks, LPA is perhaps the most elementary, and despite its flaws it remains a nice and simple approach. Author: Ankur Dave <[email protected]> Author: haroldsultan <[email protected]> Author: Harold Sultan <[email protected]> Closes apache#905 from haroldsultan/master and squashes the following commits: 327aee0 [haroldsultan] Merge pull request #2 from ankurdave/label-propagation 227a4d0 [Ankur Dave] Untabify 0ac574c [haroldsultan] Merge pull request #1 from ankurdave/label-propagation 0e24303 [Ankur Dave] Add LabelPropagationSuite 84aa061 [Ankur Dave] LabelPropagation: Fix compile errors and style; rename from LPA 9830342 [Harold Sultan] initial version of LPA

Just submit another solution for apache#395 Author: Daoyuan <[email protected]> Author: Michael Armbrust <[email protected]> Author: Daoyuan Wang <[email protected]> Closes apache#837 from adrian-wang/left-semi-join-support and squashes the following commits: d39cd12 [Daoyuan Wang] Merge pull request #1 from marmbrus/pr/837 6713c09 [Michael Armbrust] Better debugging for failed query tests. 035b73e [Michael Armbrust] Add test for left semi that can't be done with a hash join. 5ec6fa4 [Michael Armbrust] Add left semi to SQL Parser. 4c726e5 [Daoyuan] improvement according to Michael 8d4a121 [Daoyuan] add golden files for leftsemijoin 83a3c8a [Daoyuan] scala style fix 14cff80 [Daoyuan] add support for left semi join

This update resolves [SPARK-2065](https://issues.apache.org/jira/browse/SPARK-2065). It gives launched EC2 instances descriptive names by using instance tags. Launched instances now show up in the EC2 console with these names. I used `format()` with named parameters, which I believe is the recommended practice for string formatting in Python, but which doesn’t seem to be used elsewhere in the script. Author: Nicholas Chammas <[email protected]> Author: nchammas <[email protected]> Closes apache#1043 from nchammas/master and squashes the following commits: 69f6e22 [Nicholas Chammas] PEP8 fixes 2627247 [Nicholas Chammas] broke up lines before they hit 100 chars 6544b7e [Nicholas Chammas] [SPARK-2065] give launched instances names 69da6cf [nchammas] Merge pull request #1 from apache/master

@marmbrus

Thanks goes to @marmbrus for his implementation. Author: Michael Armbrust <[email protected]> Author: Zongheng Yang <[email protected]> Closes apache#1074 from concretevitamin/option-treenode and squashes the following commits: ef27b85 [Zongheng Yang] Merge pull request #1 from marmbrus/pr/1074 73133c2 [Michael Armbrust] TreeNodes can't be inner classes. ab78420 [Zongheng Yang] Add a test. 2ccb721 [Michael Armbrust] Add support for transformation of optional children.

copy ARPACK dsaupd/dseupd code from latest breeze change RowMatrix to use sparse SVD change tests for sparse SVD All tests passed. I will run it against some large matrices. Author: Li Pu <[email protected]> Author: Xiangrui Meng <[email protected]> Author: Li Pu <[email protected]> Closes apache#964 from vrilleup/master and squashes the following commits: 7312ec1 [Li Pu] very minor comment fix 4c618e9 [Li Pu] Merge pull request #1 from mengxr/vrilleup-master a461082 [Xiangrui Meng] make superscript show up correctly in doc 861ec48 [Xiangrui Meng] simplify axpy 62969fa [Xiangrui Meng] use BDV directly in symmetricEigs change the computation mode to local-svd, local-eigs, and dist-eigs update tests and docs c273771 [Li Pu] automatically determine SVD compute mode and parameters 7148426 [Li Pu] improve RowMatrix multiply 5543cce [Li Pu] improve svd api 819824b [Li Pu] add flag for dense svd or sparse svd eb15100 [Li Pu] fix binary compatibility 4c7aec3 [Li Pu] improve comments e7850ed [Li Pu] use aggregate and axpy 827411b [Li Pu] fix EOF new line 9c80515 [Li Pu] use non-sparse implementation when k = n fe983b0 [Li Pu] improve scala style 96d2ecb [Li Pu] improve eigenvalue sorting e1db950 [Li Pu] SPARK-1782: svd for sparse matrix using ARPACK

Security groups created by `spark-ec2` do not prepend “spark-“ to the name. Since naming the instances themselves is new to `spark-ec2`, it’s better to change that pattern to match the existing naming pattern for the security groups, rather than the other way around. Author: Nicholas Chammas <[email protected]> Author: nchammas <[email protected]> Closes apache#1344 from nchammas/master and squashes the following commits: f7e4581 [Nicholas Chammas] unrelated pep8 fix a36eed0 [Nicholas Chammas] name ec2 instances and security groups consistently de7292a [nchammas] Merge pull request apache#4 from apache/master 2e4fe00 [nchammas] Merge pull request apache#3 from apache/master 89fde08 [nchammas] Merge pull request #2 from apache/master 69f6e22 [Nicholas Chammas] PEP8 fixes 2627247 [Nicholas Chammas] broke up lines before they hit 100 chars 6544b7e [Nicholas Chammas] [SPARK-2065] give launched instances names 69da6cf [nchammas] Merge pull request #1 from apache/master

After running some more tests on large matrix, found that the BV axpy (breeze/linalg/Vector.scala, axpy) is slower than the BSV axpy (breeze/linalg/operators/SparseVectorOps.scala, sv_dv_axpy), 8s v.s. 2s for each multiplication. The BV axpy operates on an iterator while BSV axpy directly operates on the underlying array. I think the overhead comes from creating the iterator (with a zip) and advancing the pointers. Author: Li Pu <[email protected]> Author: Xiangrui Meng <[email protected]> Author: Li Pu <[email protected]> Closes apache#1378 from vrilleup/master and squashes the following commits: 6fb01a3 [Li Pu] use specialized axpy in RowMatrix 5255f2a [Li Pu] Merge remote-tracking branch 'upstream/master' 7312ec1 [Li Pu] very minor comment fix 4c618e9 [Li Pu] Merge pull request #1 from mengxr/vrilleup-master a461082 [Xiangrui Meng] make superscript show up correctly in doc 861ec48 [Xiangrui Meng] simplify axpy 62969fa [Xiangrui Meng] use BDV directly in symmetricEigs change the computation mode to local-svd, local-eigs, and dist-eigs update tests and docs c273771 [Li Pu] automatically determine SVD compute mode and parameters 7148426 [Li Pu] improve RowMatrix multiply 5543cce [Li Pu] improve svd api 819824b [Li Pu] add flag for dense svd or sparse svd eb15100 [Li Pu] fix binary compatibility 4c7aec3 [Li Pu] improve comments e7850ed [Li Pu] use aggregate and axpy 827411b [Li Pu] fix EOF new line 9c80515 [Li Pu] use non-sparse implementation when k = n fe983b0 [Li Pu] improve scala style 96d2ecb [Li Pu] improve eigenvalue sorting e1db950 [Li Pu] SPARK-1782: svd for sparse matrix using ARPACK

This pull request aims to resolve all outstanding PEP8 violations in PySpark. Author: Nicholas Chammas <[email protected]> Author: nchammas <[email protected]> Closes apache#1505 from nchammas/master and squashes the following commits: 98171af [Nicholas Chammas] [SPARK-2470] revert PEP 8 fixes to cloudpickle cba7768 [Nicholas Chammas] [SPARK-2470] wrap expression list in parentheses e178dbe [Nicholas Chammas] [SPARK-2470] style - change position of line break 9127d2b [Nicholas Chammas] [SPARK-2470] wrap expression lists in parentheses 22132a4 [Nicholas Chammas] [SPARK-2470] wrap conditionals in parentheses 24639bc [Nicholas Chammas] [SPARK-2470] fix whitespace for doctest 7d557b7 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to tests.py 8f8e4c0 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to storagelevel.py b3b96cf [Nicholas Chammas] [SPARK-2470] PEP8 fixes to statcounter.py d644477 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to worker.py aa3a7b6 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to sql.py 1916859 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to shell.py 95d1d95 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to serializers.py a0fec2e [Nicholas Chammas] [SPARK-2470] PEP8 fixes to mllib c85e1e5 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to join.py d14f2f1 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to __init__.py 81fcb20 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to resultiterable.py 1bde265 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to java_gateway.py 7fc849c [Nicholas Chammas] [SPARK-2470] PEP8 fixes to daemon.py ca2d28b [Nicholas Chammas] [SPARK-2470] PEP8 fixes to context.py f4e0039 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to conf.py a6d5e4b [Nicholas Chammas] [SPARK-2470] PEP8 fixes to cloudpickle.py f0a7ebf [Nicholas Chammas] [SPARK-2470] PEP8 fixes to rddsampler.py 4dd148f [nchammas] Merge pull request apache#5 from apache/master f7e4581 [Nicholas Chammas] unrelated pep8 fix a36eed0 [Nicholas Chammas] name ec2 instances and security groups consistently de7292a [nchammas] Merge pull request apache#4 from apache/master 2e4fe00 [nchammas] Merge pull request apache#3 from apache/master 89fde08 [nchammas] Merge pull request #2 from apache/master 69f6e22 [Nicholas Chammas] PEP8 fixes 2627247 [Nicholas Chammas] broke up lines before they hit 100 chars 6544b7e [Nicholas Chammas] [SPARK-2065] give launched instances names 69da6cf [nchammas] Merge pull request #1 from apache/master

… the current pu... ...sh model Currently Spark uses Flume's internal Avro Protocol to ingest data from Flume. If the executor running the receiver fails, it currently has to be restarted on the same node to be able to receive data. This commit adds a new Sink which can be deployed to a Flume agent. This sink can be polled by a new DStream that is also included in this commit. This model ensures that data can be pulled into Spark from Flume even if the receiver is restarted on a new node. This also allows the receiver to receive data on multiple threads for better performance. Author: Hari Shreedharan <[email protected]> Author: Hari Shreedharan <[email protected]> Author: Tathagata Das <[email protected]> Author: harishreedharan <[email protected]> Closes apache#807 from harishreedharan/master and squashes the following commits: e7f70a3 [Hari Shreedharan] Merge remote-tracking branch 'asf-git/master' 96cfb6f [Hari Shreedharan] Merge remote-tracking branch 'asf/master' e48d785 [Hari Shreedharan] Documenting flume-sink being ignored for Mima checks. 5f212ce [Hari Shreedharan] Ignore Spark Sink from mima. 981bf62 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 7a1bc6e [Hari Shreedharan] Fix SparkBuild.scala a082eb3 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 1f47364 [Hari Shreedharan] Minor fixes. 73d6f6d [Hari Shreedharan] Cleaned up tests a bit. Added some docs in multiple places. 65b76b4 [Hari Shreedharan] Fixing the unit test. e59cc20 [Hari Shreedharan] Use SparkFlumeEvent instead of the new type. Also, Flume Polling Receiver now uses the store(ArrayBuffer) method. f3c99d1 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 3572180 [Hari Shreedharan] Adding a license header, making Jenkins happy. 799509f [Hari Shreedharan] Fix a compile issue. 3c5194c [Hari Shreedharan] Merge remote-tracking branch 'asf/master' d248d22 [harishreedharan] Merge pull request #1 from tdas/flume-polling 10b6214 [Tathagata Das] Changed public API, changed sink package, and added java unit test to make sure Java API is callable from Java. 1edc806 [Hari Shreedharan] SPARK-1729. Update logging in Spark Sink. 8c00289 [Hari Shreedharan] More debug messages 393bd94 [Hari Shreedharan] SPARK-1729. Use LinkedBlockingQueue instead of ArrayBuffer to keep track of connections. 120e2a1 [Hari Shreedharan] SPARK-1729. Some test changes and changes to utils classes. 9fd0da7 [Hari Shreedharan] SPARK-1729. Use foreach instead of map for all Options. 8136aa6 [Hari Shreedharan] Adding TransactionProcessor to map on returning batch of data 86aa274 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 205034d [Hari Shreedharan] Merging master in 4b0c7fc [Hari Shreedharan] FLUME-1729. New Flume-Spark integration. bda01fc [Hari Shreedharan] FLUME-1729. Flume-Spark integration. 0d69604 [Hari Shreedharan] FLUME-1729. Better Flume-Spark integration. 3c23c18 [Hari Shreedharan] SPARK-1729. New Spark-Flume integration. 70bcc2a [Hari Shreedharan] SPARK-1729. New Flume-Spark integration. d6fa3aa [Hari Shreedharan] SPARK-1729. New Flume-Spark integration. e7da512 [Hari Shreedharan] SPARK-1729. Fixing import order 9741683 [Hari Shreedharan] SPARK-1729. Fixes based on review. c604a3c [Hari Shreedharan] SPARK-1729. Optimize imports. 0f10788 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 87775aa [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 8df37e4 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 03d6c1c [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 08176ad [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model d24d9d4 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 6d6776a [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model

This is a pull request regarding SPARK-2510 at https://issues.apache.org/jira/browse/SPARK-2510. Word2Vec creates vector representation of words in a text corpus. The algorithm first constructs a vocabulary from the corpus and then learns vector representation of words in the vocabulary. The vector representation can be used as features in natural language processing and machine learning algorithms. To make our implementation more scalable, we train each partition separately and merge the model of each partition after each iteration. To make the model more accurate, multiple iterations may be needed. To investigate the vector representations is to find the closest words for a query word. For example, the top 20 closest words to "china" are for 1 partition and 1 iteration : taiwan 0.8077646146334014 korea 0.740913304563621 japan 0.7240667798885471 republic 0.7107151279078352 thailand 0.6953217332072862 tibet 0.6916782118129544 mongolia 0.6800858715972612 macau 0.6794925677480378 singapore 0.6594048695593799 manchuria 0.658989931844148 laos 0.6512978726001666 nepal 0.6380792327845325 mainland 0.6365469459587788 myanmar 0.6358614338840394 macedonia 0.6322366180313249 xinjiang 0.6285291551708028 russia 0.6279951236068411 india 0.6272874944023487 shanghai 0.6234544135576999 macao 0.6220588462925876 The result with 10 partitions and 5 iterations is: taiwan 0.8310495079388313 india 0.7737171315919039 japan 0.756777901233668 korea 0.7429767187102452 indonesia 0.7407557427278356 pakistan 0.712883426985585 mainland 0.7053379963140822 thailand 0.696298191073948 mongolia 0.693690656871415 laos 0.6913069680735292 macau 0.6903427690029617 republic 0.6766381604813666 malaysia 0.676460699141784 singapore 0.6728790997360923 malaya 0.672345232966194 manchuria 0.6703732292753156 macedonia 0.6637955686322028 myanmar 0.6589462882439646 kazakhstan 0.657017801081494 cambodia 0.6542383836451932 Author: Liquan Pei <[email protected]> Author: Xiangrui Meng <[email protected]> Author: Liquan Pei <[email protected]> Closes apache#1719 from Ishiihara/master and squashes the following commits: 2ba9483 [Liquan Pei] minor fix for Word2Vec test e248441 [Liquan Pei] minor style change 26a948d [Liquan Pei] Merge pull request #1 from mengxr/Ishiihara-master c14da41 [Xiangrui Meng] fix styles 384c771 [Xiangrui Meng] remove minCount and window from constructor change model to use float instead of double e93e726 [Liquan Pei] use treeAggregate instead of aggregate 1a8fb41 [Liquan Pei] use weighted sum in combOp 7efbb6f [Liquan Pei] use broadcast version of vocab in aggregate 6bcc8be [Liquan Pei] add multiple iteration support 720b5a3 [Liquan Pei] Add test for Word2Vec algorithm, minor fixes 2e92b59 [Liquan Pei] modify according to feedback 57dc50d [Liquan Pei] code formatting e4a04d3 [Liquan Pei] minor fix 0aafb1b [Liquan Pei] Add comments, minor fixes 8d6befe [Liquan Pei] initial commit

As described in [SPARK-2627](https://issues.apache.org/jira/browse/SPARK-2627), we'd like Python code to automatically be checked for PEP 8 compliance by Jenkins. This pull request aims to do that. Notes: * We may need to install [`pep8`](https://pypi.python.org/pypi/pep8) on the build server. * I'm expecting tests to fail now that PEP 8 compliance is being checked as part of the build. I'm fine with cleaning up any remaining PEP 8 violations as part of this pull request. * I did not understand why the RAT and scalastyle reports are saved to text files. I did the same for the PEP 8 check, but only so that the console output style can match those for the RAT and scalastyle checks. The PEP 8 report is removed right after the check is complete. * Updates to the ["Contributing to Spark"](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark) guide will be submitted elsewhere, as I don't believe that text is part of the Spark repo. Author: Nicholas Chammas <[email protected]> Author: nchammas <[email protected]> Closes apache#1744 from nchammas/master and squashes the following commits: 274b238 [Nicholas Chammas] [SPARK-2627] [PySpark] minor indentation changes 983d963 [nchammas] Merge pull request apache#5 from apache/master 1db5314 [nchammas] Merge pull request apache#4 from apache/master 0e0245f [Nicholas Chammas] [SPARK-2627] undo erroneous whitespace fixes bf30942 [Nicholas Chammas] [SPARK-2627] PEP8: comment spacing 6db9a44 [nchammas] Merge pull request apache#3 from apache/master 7b4750e [Nicholas Chammas] merge upstream changes 91b7584 [Nicholas Chammas] [SPARK-2627] undo unnecessary line breaks 44e3e56 [Nicholas Chammas] [SPARK-2627] use tox.ini to exclude files b09fae2 [Nicholas Chammas] don't wrap comments unnecessarily bfb9f9f [Nicholas Chammas] [SPARK-2627] keep up with the PEP 8 fixes 9da347f [nchammas] Merge pull request #2 from apache/master aa5b4b5 [Nicholas Chammas] [SPARK-2627] follow Spark bash style for if blocks d0a83b9 [Nicholas Chammas] [SPARK-2627] check that pep8 downloaded fine dffb5dd [Nicholas Chammas] [SPARK-2627] download pep8 at runtime a1ce7ae [Nicholas Chammas] [SPARK-2627] space out test report sections 21da538 [Nicholas Chammas] [SPARK-2627] it's PEP 8, not PEP8 6f4900b [Nicholas Chammas] [SPARK-2627] more misc PEP 8 fixes fe57ed0 [Nicholas Chammas] removing merge conflict backups 9c01d4c [nchammas] Merge pull request #1 from apache/master 9a66cb0 [Nicholas Chammas] resolving merge conflicts a31ccc4 [Nicholas Chammas] [SPARK-2627] miscellaneous PEP 8 fixes beaa9ac [Nicholas Chammas] [SPARK-2627] fail check on non-zero status 723ed39 [Nicholas Chammas] always delete the report file 0541ebb [Nicholas Chammas] [SPARK-2627] call Python linter from run-tests 12440fa [Nicholas Chammas] [SPARK-2627] add Scala linter 61c07b9 [Nicholas Chammas] [SPARK-2627] add Python linter 75ad552 [Nicholas Chammas] make check output style consistent

See compiled doc at http://people.apache.org/~rxin/tmp/openstack-swift/_site/storage-openstack-swift.html This is based on apache#1010. Closes apache#1010. Author: Reynold Xin <[email protected]> Author: Gil Vernik <[email protected]> Closes apache#2298 from rxin/openstack-swift and squashes the following commits: ff4e394 [Reynold Xin] Two minor comments from Patrick. 279f6de [Reynold Xin] core-sites -> core-site dfb8fea [Reynold Xin] Updated based on Gil's suggestion. 846f5cb [Reynold Xin] Added a link from overview page. 0447c9f [Reynold Xin] Removed sample code. e9c3761 [Reynold Xin] Merge pull request apache#1010 from gilv/master 9233fef [Gil Vernik] Fixed typos 6994827 [Gil Vernik] Merge pull request #1 from rxin/openstack ac0679e [Reynold Xin] Fixed an unclosed tr. 47ce99d [Reynold Xin] Merge branch 'master' into openstack cca7192 [Gil Vernik] Removed white spases from pom.xml 99f095d [Reynold Xin] Pending openstack changes. eb22295 [Reynold Xin] Merge pull request apache#1010 from gilv/master 39a9737 [Gil Vernik] Spark integration with Openstack Swift c977658 [Gil Vernik] Merge branch 'master' of https://github.com/gilv/spark 2aba763 [Gil Vernik] Fix to docs/openstack-integration.md 9b625b5 [Gil Vernik] Merge branch 'master' of https://github.com/gilv/spark eff538d [Gil Vernik] SPARK-938 - Openstack Swift object storage support ce483d7 [Gil Vernik] SPARK-938 - Openstack Swift object storage support b6c37ef [Gil Vernik] Openstack Swift support

Testing arguments to `sbt` need to be passed as an array, not a single, long string. Fixes a bug introduced in apache#2420. Author: Nicholas Chammas <[email protected]> Closes apache#2437 from nchammas/selective-testing and squashes the following commits: a9f9c1c [Nicholas Chammas] fix printing of sbt test arguments cf57cbf [Nicholas Chammas] fix sbt test arguments e33b978 [Nicholas Chammas] Merge pull request #2 from apache/master 0b47ca4 [Nicholas Chammas] Merge branch 'master' of github.com:nchammas/spark 8051486 [Nicholas Chammas] Merge pull request #1 from apache/master 03180a4 [Nicholas Chammas] Merge branch 'master' of github.com:nchammas/spark d4c5f43 [Nicholas Chammas] Merge pull request apache#6 from apache/master

VertexRDD.apply had a bug where it ignored the merge function for duplicate vertices and instead used whichever vertex attribute occurred first. This commit fixes the bug by passing the merge function through to ShippableVertexPartition.apply, which merges any duplicates using the merge function and then fills in missing vertices using the specified default vertex attribute. This commit also adds a unit test for VertexRDD.apply. Author: Larry Xiao <[email protected]> Author: Blie Arkansol <[email protected]> Author: Ankur Dave <[email protected]> Closes apache#1903 from larryxiao/2062 and squashes the following commits: 625aa9d [Blie Arkansol] Merge pull request #1 from ankurdave/SPARK-2062 476770b [Ankur Dave] ShippableVertexPartition.initFrom: Don't run mergeFunc on default values 614059f [Larry Xiao] doc update: note about the default null value vertices construction dfdb3c9 [Larry Xiao] minor fix 1c70366 [Larry Xiao] scalastyle check: wrap line, parameter list indent 4 spaces e4ca697 [Larry Xiao] [TEST] VertexRDD.apply mergeFunc 6a35ea8 [Larry Xiao] [TEST] VertexRDD.apply mergeFunc 4fbc29c [Blie Arkansol] undo unnecessary change efae765 [Larry Xiao] fix mistakes: should be able to call with or without mergeFunc b2422f9 [Larry Xiao] Merge branch '2062' of github.com:larryxiao/spark into 2062 52dc7f7 [Larry Xiao] pass mergeFunc to VertexPartitionBase, where merge is handled 581e9ee [Larry Xiao] TODO: VertexRDDSuite 20d80a3 [Larry Xiao] [SPARK-2062][GraphX] VertexRDD.apply does not use the mergeFunc

…/1.7 This is a bug in JDK6: http://bugs.java.com/bugdatabase/view_bug.do?bug_id=4428022 this is because jdk get different result to operate ```double```, ```System.out.println(1/500d)``` in different jdk get different result jdk 1.6.0(_31) ---- 0.0020 jdk 1.7.0(_05) ---- 0.002 this leads to HiveQuerySuite failed when generate golden answer in jdk 1.7 and run tests in jdk 1.6, result did not match Author: w00228970 <[email protected]> Closes apache#2517 from scwf/HiveQuerySuite and squashes the following commits: 0cb5e8d [w00228970] delete golden answer of division-0 and timestamp cast #1 1df3964 [w00228970] Jdk version leads to different query output for Double, this make HiveQuerySuite failed

@yhuai

a new PR base on new master. changes are the same as apache#1919 Author: baishuo(白硕) <[email protected]> Author: baishuo <[email protected]> Author: Cheng Lian <[email protected]> Closes apache#2226 from baishuo/patch-3007 and squashes the following commits: e69ce88 [Cheng Lian] Adds tests to verify dynamic partitioning folder layout b20a3dc [Cheng Lian] Addresses @yhuai's comments 096bbbc [baishuo(白硕)] Merge pull request #1 from liancheng/refactor-dp 1093c20 [Cheng Lian] Adds more tests 5004542 [Cheng Lian] Minor refactoring fae9eff [Cheng Lian] Refactors InsertIntoHiveTable to a Command 528e84c [Cheng Lian] Fixes typo in test name, regenerated golden answer files c464b26 [Cheng Lian] Refactors dynamic partitioning support 5033928 [baishuo] pass check style 2201c75 [baishuo] use HiveConf.DEFAULTPARTITIONNAME to replace hive.exec.default.partition.name b47c9bf [baishuo] modify according micheal's advice c3ab36d [baishuo] modify for some bad indentation 7ce2d9f [baishuo] modify code to pass scala style checks 37c1c43 [baishuo] delete a empty else branch 66e33fc [baishuo] do a little modify 88d0110 [baishuo] update file after test a3961d9 [baishuo(白硕)] Update Cast.scala f7467d0 [baishuo(白硕)] Update InsertIntoHiveTable.scala c1a59dd [baishuo(白硕)] Update Cast.scala 0e18496 [baishuo(白硕)] Update HiveQuerySuite.scala 60f70aa [baishuo(白硕)] Update InsertIntoHiveTable.scala 0a50db9 [baishuo(白硕)] Update HiveCompatibilitySuite.scala 491c7d0 [baishuo(白硕)] Update InsertIntoHiveTable.scala a2374a8 [baishuo(白硕)] Update InsertIntoHiveTable.scala 701a814 [baishuo(白硕)] Update SparkHadoopWriter.scala dc24c41 [baishuo(白硕)] Update HiveQl.scala

…link to HistoryPage's page #1 There is a Spark logo on the header of HistoryPage. We can have too many HistoryPages if we run 20+ applications. So I think, it's useful if the logo is as a link to the HistoryPage's page number 1. Author: Kousuke Saruta <[email protected]> Closes apache#2690 from sarutak/SPARK-3829 and squashes the following commits: 908c109 [Kousuke Saruta] Removed extra space. 00bfbd7 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-3829 dd87480 [Kousuke Saruta] Made header Spark log image as a link to History Server's top page.

@giwa

This patch brings Python API for Streaming. This patch is based on work from @giwa Author: giwa <[email protected]> Author: Ken Takagiwa <[email protected]> Author: Davies Liu <[email protected]> Author: Ken Takagiwa <[email protected]> Author: Tathagata Das <[email protected]> Author: Ken <[email protected]> Author: Ken Takagiwa <[email protected]> Author: Matthew Farrellee <[email protected]> Closes apache#2538 from davies/streaming and squashes the following commits: 64561e4 [Davies Liu] fix tests 331ecce [Davies Liu] fix example 3e2492b [Davies Liu] change updateStateByKey() to easy API 182be73 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 02d0575 [Davies Liu] add wrapper for foreachRDD() bebeb4a [Davies Liu] address all comments 6db00da [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 8380064 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 52c535b [Davies Liu] remove fix for sum() e108ec1 [Davies Liu] address comments 37fe06f [Davies Liu] use random port for callback server d05871e [Davies Liu] remove reuse of PythonRDD be5e5ff [Davies Liu] merge branch of env, make tests stable. 8071541 [Davies Liu] Merge branch 'env' into streaming c7bbbce [Davies Liu] fix sphinx docs 6bb9d91 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 4d0ea8b [Davies Liu] clear reference of SparkEnv after stop 54bd92b [Davies Liu] improve tests c2b31cb [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 7a88f9f [Davies Liu] rollback RDD.setContext(), use textFileStream() to test checkpointing bd8a4c2 [Davies Liu] fix scala style 7797c70 [Davies Liu] refactor ff88bec [Davies Liu] rename RDDFunction to TransformFunction d328aca [Davies Liu] fix serializer in queueStream 6f0da2f [Davies Liu] recover from checkpoint fa7261b [Davies Liu] refactor a13ff34 [Davies Liu] address comments 8466916 [Davies Liu] support checkpoint 9a16bd1 [Davies Liu] change number of partitions during tests b98d63f [Davies Liu] change private[spark] to private[python] eed6e2a [Davies Liu] rollback not needed changes e00136b [Davies Liu] address comments 069a94c [Davies Liu] fix the number of partitions during window() 338580a [Davies Liu] change _first(), _take(), _collect() as private API 19797f9 [Davies Liu] clean up 6ebceca [Davies Liu] add more tests c40c52d [Davies Liu] change first(), take(n) to has the same behavior as RDD 98ac6c2 [Davies Liu] support ssc.transform() b983f0f [Davies Liu] address comments 847f9b9 [Davies Liu] add more docs, add first(), take() e059ca2 [Davies Liu] move check of window into Python fce0ef5 [Davies Liu] rafactor of foreachRDD() 7001b51 [Davies Liu] refactor of queueStream() 26ea396 [Davies Liu] refactor 74df565 [Davies Liu] fix print and docs b32774c [Davies Liu] move java_import into streaming 604323f [Davies Liu] enable streaming tests c499ba0 [Davies Liu] remove Time and Duration 3f0fb4b [Davies Liu] refactor fix tests c28f520 [Davies Liu] support updateStateByKey d357b70 [Davies Liu] support windowed dstream bd13026 [Davies Liu] fix examples eec401e [Davies Liu] refactor, combine TransformedRDD, fix reuse PythonRDD, fix union 9a57685 [Davies Liu] fix python style bd27874 [Davies Liu] fix scala style 7339be0 [Davies Liu] delete tests 7f53086 [Davies Liu] support transform(), refactor and cleanup df098fc [Davies Liu] Merge branch 'master' into giwa 550dfd9 [giwa] WIP fixing 1.1 merge 5cdb6fa [giwa] changed for SCCallSiteSync e685853 [giwa] meged with rebased 1.1 branch 2d32a74 [giwa] added some StreamingContextTestSuite 4a59e1e [giwa] WIP:added more test for StreamingContext 8ffdbf1 [giwa] added atexit to handle callback server d5f5fcb [giwa] added comment for StreamingContext.sparkContext 63c881a [giwa] added StreamingContext.sparkContext d39f102 [giwa] added StreamingContext.remember d542743 [giwa] clean up code 2fdf0de [Matthew Farrellee] Fix scalastyle errors c0a06bc [giwa] delete not implemented functions f385976 [giwa] delete inproper comments b0f2015 [giwa] added comment in dstream._test_output bebb3f3 [giwa] remove the last brank line fbed8da [giwa] revert pom.xml 8ed93af [giwa] fixed explanaiton 066ba90 [giwa] revert pom.xml fa4af88 [giwa] remove duplicated import 6ae3caa [giwa] revert pom.xml 7dc7391 [giwa] fixed typo 62dc7a3 [giwa] clean up exmples f04882c [giwa] clen up examples b171ec3 [giwa] fixed pep8 violation f198d14 [giwa] clean up code 3166d31 [giwa] clean up c00e091 [giwa] change test case not to use awaitTermination e80647e [giwa] adopted the latest compression way of python command 58e41ff [giwa] merge with master 455e5af [giwa] removed wasted print in DStream af336b7 [giwa] add comments ddd4ee1 [giwa] added TODO coments 99ce042 [giwa] added saveAsTextFiles and saveAsPickledFiles 2a06cdb [giwa] remove waste duplicated code c5ecfc1 [giwa] basic function test cases are passed 8dcda84 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 795b2cd [giwa] broke something 1e126bf [giwa] WIP: solved partitioned and None is not recognized f67cf57 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test 953deb0 [giwa] edited the comment to add more precise description af610d3 [giwa] removed unnesessary changes c1d546e [giwa] fixed PEP-008 violation 99410be [giwa] delete waste file b3b0362 [giwa] added basic operation test cases 9cde7c9 [giwa] WIP added test case bd3ba53 [giwa] WIP 5c04a5f [giwa] WIP: added PythonTestInputStream 019ef38 [giwa] WIP 1934726 [giwa] update comment 376e3ac [giwa] WIP 932372a [giwa] clean up dstream.py 0b09cff [giwa] added stop in StreamingContext 92e333e [giwa] implemented reduce and count function in Dstream 1b83354 [giwa] Removed the waste line 88f7506 [Ken Takagiwa] Kill py4j callback server properly 54b5358 [Ken Takagiwa] tried to restart callback server 4f07163 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. fe02547 [Ken Takagiwa] remove waste file 2ad7bd3 [Ken Takagiwa] clean up codes 6197a11 [Ken Takagiwa] clean up code eb4bf48 [Ken Takagiwa] fix map function 98c2a00 [Ken Takagiwa] added count operation but this implementation need double check 58591d2 [Ken Takagiwa] reduceByKey is working 0df7111 [Ken Takagiwa] delete old file f485b1d [Ken Takagiwa] fied input of socketTextDStream dd6de81 [Ken Takagiwa] initial commit for socketTextStream 247fd74 [Ken Takagiwa] modified the code base on comment in tdas#10 4bcb318 [Ken Takagiwa] implementing transform function in Python 38adf95 [Ken Takagiwa] added reducedByKey not working yet 66fcfff [Ken Takagiwa] modify dstream.py to fix indent error 41886c2 [Ken Takagiwa] comment PythonDStream.PairwiseDStream 0b99bec [Ken] initial commit for pySparkStreaming c214199 [giwa] added testcase for combineByKey 5625bdc [giwa] added gorupByKey testcase 10ab87b [giwa] added sparkContext as input parameter in StreamingContext 10b5b04 [giwa] removed wasted print in DStream e54f986 [giwa] add comments 16aa64f [giwa] added TODO coments 74535d4 [giwa] added saveAsTextFiles and saveAsPickledFiles f76c182 [giwa] remove waste duplicated code 18c8723 [giwa] modified streaming test case to add coment 13fb44c [giwa] basic function test cases are passed 3000b2b [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 ff14070 [giwa] broke something bcdec33 [giwa] WIP: solved partitioned and None is not recognized 270a9e1 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test bb10956 [giwa] edited the comment to add more precise description 253a863 [giwa] removed unnesessary changes 3d37822 [giwa] fixed PEP-008 violation f21cab3 [giwa] delete waste file 878bad7 [giwa] added basic operation test cases ce2acd2 [giwa] WIP added test case 9ad6855 [giwa] WIP 1df77f5 [giwa] WIP: added PythonTestInputStream 1523b66 [giwa] WIP 8a0fbbc [giwa] update comment fe648e3 [giwa] WIP 29c2bc5 [giwa] initial commit for testcase 4d40d63 [giwa] clean up dstream.py c462bb3 [giwa] added stop in StreamingContext d2c01ba [giwa] clean up examples 3c45cd2 [giwa] implemented reduce and count function in Dstream b349649 [giwa] Removed the waste line 3b498e1 [Ken Takagiwa] Kill py4j callback server properly 84a9668 [Ken Takagiwa] tried to restart callback server 9ab8952 [Tathagata Das] Added extra line. 05e991b [Tathagata Das] Added missing file b1d2a30 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. 678e854 [Ken Takagiwa] remove waste file 0a8bbbb [Ken Takagiwa] clean up codes bab31c1 [Ken Takagiwa] clean up code 72b9738 [Ken Takagiwa] fix map function d3ee86a [Ken Takagiwa] added count operation but this implementation need double check 15feea9 [Ken Takagiwa] edit python sparkstreaming example 6f98e50 [Ken Takagiwa] reduceByKey is working c455c8d [Ken Takagiwa] added reducedByKey not working yet dc6995d [Ken Takagiwa] delete old file b31446a [Ken Takagiwa] fixed typo of network_workdcount.py ccfd214 [Ken Takagiwa] added doctest for pyspark.streaming.duration 0d1b954 [Ken Takagiwa] fied input of socketTextDStream f746109 [Ken Takagiwa] initial commit for socketTextStream bb7ccf3 [Ken Takagiwa] remove unused import in python 224fc5e [Ken Takagiwa] add empty line d2099d8 [Ken Takagiwa] sorted the import following Spark coding convention 5bac7ec [Ken Takagiwa] revert streaming/pom.xml e1df940 [Ken Takagiwa] revert pom.xml 494cae5 [Ken Takagiwa] remove not implemented DStream functions in python 17a74c6 [Ken Takagiwa] modified the code base on comment in tdas#10 1a0f065 [Ken Takagiwa] implementing transform function in Python d7b4d6f [Ken Takagiwa] added reducedByKey not working yet 87438e2 [Ken Takagiwa] modify dstream.py to fix indent error b406252 [Ken Takagiwa] comment PythonDStream.PairwiseDStream 454981d [Ken] initial commit for pySparkStreaming 150b94c [giwa] added some StreamingContextTestSuite f7bc8f9 [giwa] WIP:added more test for StreamingContext ee50c5a [giwa] added atexit to handle callback server fdc9125 [giwa] added comment for StreamingContext.sparkContext f5bfb70 [giwa] added StreamingContext.sparkContext da09768 [giwa] added StreamingContext.remember d68b568 [giwa] clean up code 4afa390 [giwa] clean up code 1fd6bc7 [Ken Takagiwa] Merge pull request #2 from mattf/giwa-master d9d59fe [Matthew Farrellee] Fix scalastyle errors 67473a9 [giwa] delete not implemented functions c97377c [giwa] delete inproper comments 2ea769e [giwa] added comment in dstream._test_output 3b27bd4 [giwa] remove the last brank line acfcaeb [giwa] revert pom.xml 93f7637 [giwa] fixed explanaiton 50fd6f9 [giwa] revert pom.xml 4f82c89 [giwa] remove duplicated import 9d1de23 [giwa] revert pom.xml 7339df2 [giwa] fixed typo 9c85e48 [giwa] clean up exmples 24f95db [giwa] clen up examples 0d30109 [giwa] fixed pep8 violation b7dab85 [giwa] improve test case 583e66d [giwa] move tests for streaming inside streaming directory 1d84142 [giwa] remove unimplement test f0ea311 [giwa] clean up code 171edeb [giwa] clean up 4dedd2d [giwa] change test case not to use awaitTermination 268a6a5 [giwa] Changed awaitTermination not to call awaitTermincation in Scala. Just use time.sleep instread 09a28bf [giwa] improve testcases 58150f5 [giwa] Changed the test case to focus the test operation 199e37f [giwa] adopted the latest compression way of python command 185fdbf [giwa] merge with master f1798c4 [giwa] merge with master e70f706 [giwa] added testcase for combineByKey e162822 [giwa] added gorupByKey testcase 97742fe [giwa] added sparkContext as input parameter in StreamingContext 14d4c0e [giwa] removed wasted print in DStream 6d8190a [giwa] add comments 4aa99e4 [giwa] added TODO coments e9fab72 [giwa] added saveAsTextFiles and saveAsPickledFiles 94f2b65 [giwa] remove waste duplicated code 580fbc2 [giwa] modified streaming test case to add coment 99e4bb3 [giwa] basic function test cases are passed 7051a84 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 35933e1 [giwa] broke something 9767712 [giwa] WIP: solved partitioned and None is not recognized 4f2d7e6 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test 33c0f94 [giwa] edited the comment to add more precise description 774f18d [giwa] removed unnesessary changes 3a671cc [giwa] remove export PYSPARK_PYTHON in spark submit 8efa266 [giwa] fixed PEP-008 violation fa75d71 [giwa] delete waste file 7f96294 [giwa] added basic operation test cases 3dda31a [giwa] WIP added test case 1f68b78 [giwa] WIP c05922c [giwa] WIP: added PythonTestInputStream 1fd12ae [giwa] WIP c880a33 [giwa] update comment 5d22c92 [giwa] WIP ea4b06b [giwa] initial commit for testcase 5a9b525 [giwa] clean up dstream.py 79c5809 [giwa] added stop in StreamingContext 189dcea [giwa] clean up examples b8d7d24 [giwa] implemented reduce and count function in Dstream b6468e6 [giwa] Removed the waste line b47b5fd [Ken Takagiwa] Kill py4j callback server properly 19ddcdd [Ken Takagiwa] tried to restart callback server c9fc124 [Tathagata Das] Added extra line. 4caae3f [Tathagata Das] Added missing file 4eff053 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. 5e822d4 [Ken Takagiwa] remove waste file aeaf8a5 [Ken Takagiwa] clean up codes 9fa249b [Ken Takagiwa] clean up code 05459c6 [Ken Takagiwa] fix map function a9f4ecb [Ken Takagiwa] added count operation but this implementation need double check d1ee6ca [Ken Takagiwa] edit python sparkstreaming example 0b8b7d0 [Ken Takagiwa] reduceByKey is working d25d5cf [Ken Takagiwa] added reducedByKey not working yet 7f7c5d1 [Ken Takagiwa] delete old file 967dc26 [Ken Takagiwa] fixed typo of network_workdcount.py 57fb740 [Ken Takagiwa] added doctest for pyspark.streaming.duration 4b69fb1 [Ken Takagiwa] fied input of socketTextDStream 02f618a [Ken Takagiwa] initial commit for socketTextStream 4ce4058 [Ken Takagiwa] remove unused import in python 856d98e [Ken Takagiwa] add empty line 490e338 [Ken Takagiwa] sorted the import following Spark coding convention 5594bd4 [Ken Takagiwa] revert pom.xml 2adca84 [Ken Takagiwa] remove not implemented DStream functions in python e551e13 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit 3758175 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit c5518b4 [Ken Takagiwa] modified the code base on comment in tdas#10 dcf243f [Ken Takagiwa] implementing transform function in Python 9af03f4 [Ken Takagiwa] added reducedByKey not working yet 6e0d9c7 [Ken Takagiwa] modify dstream.py to fix indent error e497b9b [Ken Takagiwa] comment PythonDStream.PairwiseDStream 5c3a683 [Ken] initial commit for pySparkStreaming 665bfdb [giwa] added testcase for combineByKey a3d2379 [giwa] added gorupByKey testcase 636090a [giwa] added sparkContext as input parameter in StreamingContext e7ebb08 [giwa] removed wasted print in DStream d8b593b [giwa] add comments ea9c873 [giwa] added TODO coments 89ae38a [giwa] added saveAsTextFiles and saveAsPickledFiles e3033fc [giwa] remove waste duplicated code a14c7e1 [giwa] modified streaming test case to add coment 536def4 [giwa] basic function test cases are passed 2112638 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 080541a [giwa] broke something 0704b86 [giwa] WIP: solved partitioned and None is not recognized 90a6484 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test a65f302 [giwa] edited the comment to add more precise description bdde697 [giwa] removed unnesessary changes e8c7bfc [giwa] remove export PYSPARK_PYTHON in spark submit 3334169 [giwa] fixed PEP-008 violation db0a303 [giwa] delete waste file 2cfd3a0 [giwa] added basic operation test cases 90ae568 [giwa] WIP added test case a120d07 [giwa] WIP f671cdb [giwa] WIP: added PythonTestInputStream 56fae45 [giwa] WIP e35e101 [giwa] Merge branch 'master' into testcase ba5112d [giwa] update comment 28aa56d [giwa] WIP fb08559 [giwa] initial commit for testcase a613b85 [giwa] clean up dstream.py c40c0ef [giwa] added stop in StreamingContext 31e4260 [giwa] clean up examples d2127d6 [giwa] implemented reduce and count function in Dstream 48f7746 [giwa] Removed the waste line 0f83eaa [Ken Takagiwa] delete py4j 0.8.1 1679808 [Ken Takagiwa] Kill py4j callback server properly f96cd4e [Ken Takagiwa] tried to restart callback server fe86198 [Ken Takagiwa] add py4j 0.8.2.1 but server is not launched 1064fe0 [Ken Takagiwa] Merge branch 'master' of https://github.com/giwa/spark 28c6620 [Ken Takagiwa] Implemented DStream.foreachRDD in the Python API using Py4J callback server 85b0fe1 [Ken Takagiwa] Merge pull request #1 from tdas/python-foreach 54e2e8c [Tathagata Das] Added extra line. e185338 [Tathagata Das] Added missing file a778d4b [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. cc2092b [Ken Takagiwa] remove waste file d042ac6 [Ken Takagiwa] clean up codes 84a021f [Ken Takagiwa] clean up code bd20e17 [Ken Takagiwa] fix map function d01a125 [Ken Takagiwa] added count operation but this implementation need double check 7d05109 [Ken Takagiwa] merge with remote branch ae464e0 [Ken Takagiwa] edit python sparkstreaming example 04af046 [Ken Takagiwa] reduceByKey is working 3b6d7b0 [Ken Takagiwa] implementing transform function in Python 571d52d [Ken Takagiwa] added reducedByKey not working yet 5720979 [Ken Takagiwa] delete old file e604fcb [Ken Takagiwa] fixed typo of network_workdcount.py 4b7c08b [Ken Takagiwa] Merge branch 'master' of https://github.com/giwa/spark ce7d426 [Ken Takagiwa] added doctest for pyspark.streaming.duration a8c9fd5 [Ken Takagiwa] fixed for socketTextStream a61fa9e [Ken Takagiwa] fied input of socketTextDStream 1e84f41 [Ken Takagiwa] initial commit for socketTextStream 6d012f7 [Ken Takagiwa] remove unused import in python 25d30d5 [Ken Takagiwa] add empty line 6e0a64a [Ken Takagiwa] sorted the import following Spark coding convention fa4a7fc [Ken Takagiwa] revert streaming/pom.xml 8f8202b [Ken Takagiwa] revert streaming pom.xml c9d79dd [Ken Takagiwa] revert pom.xml 57e3e52 [Ken Takagiwa] remove not implemented DStream functions in python 0a516f5 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit a7a0b5c [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit 72bfc66 [Ken Takagiwa] modified the code base on comment in tdas#10 69e9cd3 [Ken Takagiwa] implementing transform function in Python 94a0787 [Ken Takagiwa] added reducedByKey not working yet 88068cf [Ken Takagiwa] modify dstream.py to fix indent error 1367be5 [Ken Takagiwa] comment PythonDStream.PairwiseDStream eb2b3ba [Ken] Merge remote-tracking branch 'upstream/master' d8e51f9 [Ken] initial commit for pySparkStreaming

…ion sometimes JobProgressPage could not show Fair Scheduler Pools section sometimes. SparkContext starts webui and then postEnvironmentUpdate. Sometimes JobProgressPage is accessed between webui starting and postEnvironmentUpdate, then the lazy val isFairScheduler will be false. The Fair Scheduler Pools section will not display any more. Author: yantangzhai <[email protected]> Author: YanTangZhai <[email protected]> Closes apache#1966 from YanTangZhai/SPARK-3067 and squashes the following commits: d4323f8 [yantangzhai] update [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes 8a00106 [YanTangZhai] Merge pull request apache#6 from apache/master b6391cc [yantangzhai] revert [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes d2226cd [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cbcba66 [YanTangZhai] Merge pull request apache#3 from apache/master aac7f7b [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cdef539 [YanTangZhai] Merge pull request #1 from apache/master

Given that a lot of users are trying to use hive 0.13 in spark, and the incompatibility between hive-0.12 and hive-0.13 on the API level I want to propose following approach, which has no or minimum impact on existing hive-0.12 support, but be able to jumpstart the development of hive-0.13 and future version support. Approach: Introduce “hive-version” property, and manipulate pom.xml files to support different hive version at compiling time through shim layer, e.g., hive-0.12.0 and hive-0.13.1. More specifically, 1. For each different hive version, there is a very light layer of shim code to handle API differences, sitting in sql/hive/hive-version, e.g., sql/hive/v0.12.0 or sql/hive/v0.13.1 2. Add a new profile hive-default active by default, which picks up all existing configuration and hive-0.12.0 shim (v0.12.0) if no hive.version is specified. 3. If user specifies different version (currently only 0.13.1 by -Dhive.version = 0.13.1), hive-versions profile will be activated, which pick up hive-version specific shim layer and configuration, mainly the hive jars and hive-version shim, e.g., v0.13.1. 4. With this approach, nothing is changed with current hive-0.12 support. No change by default: sbt/sbt -Phive For example: sbt/sbt -Phive -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 assembly To enable hive-0.13: sbt/sbt -Dhive.version=0.13.1 For example: sbt/sbt -Dhive.version=0.13.1 -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 assembly Note that in hive-0.13, hive-thriftserver is not enabled, which should be fixed by other Jira, and we don’t need -Phive with -Dhive.version in building (probably we should use -Phive -Dhive.version=xxx instead after thrift server is also supported in hive-0.13.1). Author: Zhan Zhang <[email protected]> Author: zhzhan <[email protected]> Author: Patrick Wendell <[email protected]> Closes apache#2241 from zhzhan/spark-2706 and squashes the following commits: 3ece905 [Zhan Zhang] minor fix 410b668 [Zhan Zhang] solve review comments cbb4691 [Zhan Zhang] change run-test for new options 0d4d2ed [Zhan Zhang] rebase 497b0f4 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 8fad1cf [Zhan Zhang] change the pom file and make hive-0.13.1 as the default ab028d1 [Zhan Zhang] rebase 4a2e36d [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 4cb1b93 [zhzhan] Merge pull request #1 from pwendell/pr-2241 b0478c0 [Patrick Wendell] Changes to simplify the build of SPARK-2706 2b50502 [Zhan Zhang] rebase a72c0d4 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark cb22863 [Zhan Zhang] correct the typo 20f6cf7 [Zhan Zhang] solve compatability issue f7912a9 [Zhan Zhang] rebase and solve review feedback 301eb4a [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 10c3565 [Zhan Zhang] address review comments 6bc9204 [Zhan Zhang] rebase and remove temparory repo d3aa3f2 [Zhan Zhang] Merge branch 'master' into spark-2706 cedcc6f [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 3ced0d7 [Zhan Zhang] rebase d9b981d [Zhan Zhang] rebase and fix error due to rollback adf4924 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 3dd50e8 [Zhan Zhang] solve conflicts and remove unnecessary implicts d10bf00 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark dc7bdb3 [Zhan Zhang] solve conflicts 7e0cc36 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark d7c3e1e [Zhan Zhang] Merge branch 'master' into spark-2706 68deb11 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark d48bd18 [Zhan Zhang] address review comments 3ee3b2b [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 57ea52e [Zhan Zhang] Merge branch 'master' into spark-2706 2b0d513 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 9412d24 [Zhan Zhang] address review comments f4af934 [Zhan Zhang] rebase 1ccd7cc [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 128b60b [Zhan Zhang] ignore 0.12.0 test cases for the time being af9feb9 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 5f5619f [Zhan Zhang] restructure the directory and different hive version support 05d3683 [Zhan Zhang] solve conflicts e4c1982 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 94b4fdc [Zhan Zhang] Spark-2706: hive-0.13.1 support on spark 87ebf3b [Zhan Zhang] Merge branch 'master' into spark-2706 921e914 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark f896b2a [Zhan Zhang] Merge branch 'master' into spark-2706 789ea21 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark cb53a2c [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark f6a8a40 [Zhan Zhang] revert ba14f28 [Zhan Zhang] test dbedff3 [Zhan Zhang] Merge remote-tracking branch 'upstream/master' 70964fe [Zhan Zhang] revert fe0f379 [Zhan Zhang] Merge branch 'master' of https://github.com/zhzhan/spark 70ffd93 [Zhan Zhang] revert 42585ec [Zhan Zhang] test 7d5fce2 [Zhan Zhang] test

This adds a Streaming KMeans algorithm to MLlib. It uses an update rule that generalizes the mini-batch KMeans update to incorporate a decay factor, which allows past data to be forgotten. The decay factor can be specified explicitly, or via a more intuitive "fractional decay" setting, in units of either data points or batches. The PR includes: - StreamingKMeans algorithm with decay factor settings - Usage example - Additions to documentation clustering page - Unit tests of basic behavior and decay behaviors tdas mengxr rezazadeh Author: freeman <[email protected]> Author: Jeremy Freeman <[email protected]> Author: Xiangrui Meng <[email protected]> Closes apache#2942 from freeman-lab/streaming-kmeans and squashes the following commits: b2e5b4a [freeman] Fixes to docs / examples 078617c [Jeremy Freeman] Merge pull request #1 from mengxr/SPARK-3254 2e682c0 [Xiangrui Meng] take discount on previous weights; use BLAS; detect dying clusters 0411bf5 [freeman] Change decay parameterization 9f7aea9 [freeman] Style fixes 374a706 [freeman] Formatting ad9bdc2 [freeman] Use labeled points and predictOnValues in examples 77dbd3f [freeman] Make initialization check an assertion 9cfc301 [freeman] Make random seed an argument 44050a9 [freeman] Simpler constructor c7050d5 [freeman] Fix spacing 2899623 [freeman] Use pattern matching for clarity a4a316b [freeman] Use collect 1472ec5 [freeman] Doc formatting ea22ec8 [freeman] Fix imports 2086bdc [freeman] Log cluster center updates ea9877c [freeman] More documentation 9facbe3 [freeman] Bug fix 5db7074 [freeman] Example usage for StreamingKMeans f33684b [freeman] Add explanation and example to docs b5b5f8d [freeman] Add better documentation a0fd790 [freeman] Merge remote-tracking branch 'upstream/master' into streaming-kmeans 9fd9c15 [freeman] Merge remote-tracking branch 'upstream/master' into streaming-kmeans b93350f [freeman] Streaming KMeans with decay

@mateiz

The additions add the abstract BinaryFileInputFormat and BinaryRecordReader classes for reading in data as a byte stream and converting it to another format using the ```def parseByteArray(inArray: Array[Byte]): T``` function. As a trivial example ```ByteInputFormat``` and ```ByteRecordReader``` are included which just return the Array[Byte] from a given file. Finally a RDD for ```BinaryFileInputFormat``` (to allow for easier partitioning changes as was done for WholeFileInput) was added and the appropriate byteFiles to the ```SparkContext``` so the functions can be easily used by others. A common use case might be to read in a folder ``` sc.byteFiles("s3://mydrive/tif/*.tif").map(rawData => ReadTiffFromByteArray(rawData)) ``` Author: Kevin Mader <[email protected]> Author: Kevin Mader <[email protected]> Closes apache#1658 from kmader/master and squashes the following commits: 3c49a30 [Kevin Mader] fixing wholetextfileinput to it has the same setMinPartitions function as in BinaryData files 359a096 [Kevin Mader] making the final corrections suggested by @mateiz and renaming a few functions to make their usage clearer 6379be4 [Kevin Mader] reorganizing code 7b9d181 [Kevin Mader] removing developer API, cleaning up imports 8ac288b [Kevin Mader] fixed a single slightly over 100 character line 92bda0d [Kevin Mader] added new tests, renamed files, fixed several of the javaapi functions, formatted code more nicely a32fef7 [Kevin Mader] removed unneeded classes added DeveloperApi note to portabledatastreams since the implementation might change 49174d9 [Kevin Mader] removed unneeded classes added DeveloperApi note to portabledatastreams since the implementation might change c27a8f1 [Kevin Mader] jenkins crashed before running anything last time, so making minor change b348ce1 [Kevin Mader] fixed order in check (prefix only appears on jenkins not when I run unit tests locally) 0588737 [Kevin Mader] filename check in "binary file input as byte array" test now ignores prefixes and suffixes which might get added by Hadoop 4163e38 [Kevin Mader] fixing line length and output from FSDataInputStream to DataInputStream to minimize sensitivity to Hadoop API changes 19812a8 [Kevin Mader] Fixed the serialization issue with PortableDataStream since neither CombineFileSplit nor TaskAttemptContext implement the Serializable interface, by using ByteArrays for storing both and then recreating the objects from these bytearrays as needed. 238c83c [Kevin Mader] fixed several scala-style issues, changed structure of binaryFiles, removed excessive classes added new tests. The caching tests still have a serialization issue, but that should be easily fixed as well. 932a206 [Kevin Mader] Update RawFileInput.scala a01c9cf [Kevin Mader] Update RawFileInput.scala 441f79a [Kevin Mader] fixed a few small comments and dependency 12e7be1 [Kevin Mader] removing imglib from maven (definitely not ready yet) 5deb79e [Kevin Mader] added new portabledatastream to code so that it can be serialized correctly f032bc0 [Kevin Mader] fixed bug in path name, renamed tests bc5c0b9 [Kevin Mader] made minor stylistic adjustments from mateiz df8e528 [Kevin Mader] fixed line lengths and changed java test 9a313d5 [Kevin Mader] making classes that needn't be public private, adding automatic file closure, adding new tests edf5829 [Kevin Mader] fixing line lengths, adding new lines f4841dc [Kevin Mader] un-optimizing imports, silly intellij eacfaa6 [Kevin Mader] Added FixedLengthBinaryInputFormat and RecordReader from freeman-lab and added them to both the JavaSparkContext and the SparkContext as fixedLengthBinaryFile 1622935 [Kevin Mader] changing the line lengths to make jenkins happy 1cfa38a [Kevin Mader] added apache headers, added datainputstream directly as an output option for more complicated readers (HDF5 perhaps), and renamed several of the functions and files to be more consistent. Also added parallel functions to the java api 84035f1 [Kevin Mader] adding binary and byte file support spark 81c5f12 [Kevin Mader] Merge pull request #1 from apache/master

Add `metadata: Metadata` to `StructField` to store extra information of columns. `Metadata` is a simple wrapper over `Map[String, Any]` with value types restricted to Boolean, Long, Double, String, Metadata, and arrays of those types. SerDe is via JSON. Metadata is preserved through simple operations like `SELECT`. marmbrus liancheng Author: Xiangrui Meng <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#2701 from mengxr/structfield-metadata and squashes the following commits: dedda56 [Xiangrui Meng] merge remote 5ef930a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata c35203f [Xiangrui Meng] Merge pull request #1 from marmbrus/pr/2701 886b85c [Michael Armbrust] Expose Metadata and MetadataBuilder through the public scala and java packages. 589f314 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 1e2abcf [Xiangrui Meng] change default value of metadata to None in python 611d3c2 [Xiangrui Meng] move metadata from Expr to NamedExpr ddfcfad [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata a438440 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 4266f4d [Xiangrui Meng] add StructField.toString back for backward compatibility 3f49aab [Xiangrui Meng] remove StructField.toString 24a9f80 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 473a7c5 [Xiangrui Meng] merge master c9d7301 [Xiangrui Meng] organize imports 1fcbf13 [Xiangrui Meng] change metadata type in StructField for Scala/Java 60cc131 [Xiangrui Meng] add doc and header 60614c7 [Xiangrui Meng] add metadata e42c452 [Xiangrui Meng] merge master 93518fb [Xiangrui Meng] support metadata in python 905bb89 [Xiangrui Meng] java conversions 618e349 [Xiangrui Meng] make tests work in scala 61b8e0f [Xiangrui Meng] merge master 7e5a322 [Xiangrui Meng] do not output metadata in StructField.toString c41a664 [Xiangrui Meng] merge master d8af0ed [Xiangrui Meng] move tests to SQLQuerySuite 67fdebb [Xiangrui Meng] add test on join d65072e [Xiangrui Meng] remove Map.empty 367d237 [Xiangrui Meng] add test c194d5e [Xiangrui Meng] add metadata field to StructField and Attribute

In RDDSampler, it try use numpy to gain better performance for possion(), but the number of call of random() is only (1+faction) * N in the pure python implementation of possion(), so there is no much performance gain from numpy. numpy is not a dependent of pyspark, so it maybe introduce some problem, such as there is no numpy installed in slaves, but only installed master, as reported in SPARK-927. It also complicate the code a lot, so we may should remove numpy from RDDSampler. I also did some benchmark to verify that: ``` >>> from pyspark.mllib.random import RandomRDDs >>> rdd = RandomRDDs.uniformRDD(sc, 1 << 20, 1).cache() >>> rdd.count() # cache it >>> rdd.sample(True, 0.9).count() # measure this line ``` the results: |withReplacement | random | numpy.random | ------- | ------------ | ------- |True | 1.5 s| 1.4 s| |False| 0.6 s | 0.8 s| closes apache#2313 Note: this patch including some commits that not mirrored to github, it will be OK after it catches up. Author: Davies Liu <[email protected]> Author: Xiangrui Meng <[email protected]> Closes apache#3351 from davies/numpy and squashes the following commits: 5c438d7 [Davies Liu] fix comment c5b9252 [Davies Liu] Merge pull request #1 from mengxr/SPARK-4477 98eb31b [Xiangrui Meng] make poisson sampling slightly faster ee17d78 [Davies Liu] remove = for float 13f7b05 [Davies Liu] Merge branch 'master' of http://git-wip-us.apache.org/repos/asf/spark into numpy f583023 [Davies Liu] fix tests 51649f5 [Davies Liu] remove numpy in RDDSampler 78bf997 [Davies Liu] fix tests, do not use numpy in randomSplit, no performance gain f5fdf63 [Davies Liu] fix bug with int in weights 4dfa2cd [Davies Liu] refactor f866bcf [Davies Liu] remove unneeded change c7a2007 [Davies Liu] switch to python implementation 95a48ac [Davies Liu] Merge branch 'master' of github.com:apache/spark into randomSplit 0d9b256 [Davies Liu] refactor 1715ee3 [Davies Liu] address comments 41fce54 [Davies Liu] randomSplit()

…if sql has null val jsc = new org.apache.spark.api.java.JavaSparkContext(sc) val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc) val nrdd = jhc.hql("select null from spark_test.for_test") println(nrdd.schema) Then the error is thrown as follows: scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$) at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43) Author: YanTangZhai <[email protected]> Author: yantangzhai <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#3538 from YanTangZhai/MatchNullType and squashes the following commits: e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null 4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null 896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null 6e643f8 [YanTangZhai] Merge pull request apache#11 from apache/master e249846 [YanTangZhai] Merge pull request apache#10 from apache/master d26d982 [YanTangZhai] Merge pull request apache#9 from apache/master 76d4027 [YanTangZhai] Merge pull request apache#8 from apache/master 03b62b0 [YanTangZhai] Merge pull request apache#7 from apache/master 8a00106 [YanTangZhai] Merge pull request apache#6 from apache/master cbcba66 [YanTangZhai] Merge pull request apache#3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master

…the lineage The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 Iterative GraphX applications always have long lineage, while checkpoint() on EdgeRDD and VertexRDD themselves cannot shorten the lineage. In contrast, if we perform checkpoint() on their ParitionsRDD, the long lineage can be cut off. Moreover, the existing operations such as cache() in this code is performed on the PartitionsRDD, so checkpoint() should do the same way. More details and explanation can be found in the JIRA. Author: JerryLead <[email protected]> Author: Lijie Xu <[email protected]> Closes apache#3549 from JerryLead/my_graphX_checkpoint and squashes the following commits: d1aa8d8 [JerryLead] Perform checkpoint() on PartitionsRDD not VertexRDD and EdgeRDD themselves ff08ed4 [JerryLead] Merge branch 'master' of https://github.com/apache/spark c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master

…erflow error The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 In a nutshell, if `val partitionsRDD` in EdgeRDDImpl and VertexRDDImpl are non-transient, the serialization chain can become very long in iterative algorithms and finally lead to the StackOverflow error. More details and explanation can be found in the JIRA. Author: JerryLead <[email protected]> Author: Lijie Xu <[email protected]> Closes apache#3544 from JerryLead/my_graphX and squashes the following commits: 628f33c [JerryLead] set PartitionsRDD to be transient in EdgeRDDImpl and VertexRDDImpl c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master

…ation chain The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 The f closure of `PartitionsRDD(ZippedPartitionsRDD2)` contains a `$outer` that references EdgeRDD/VertexRDD, which causes task's serialization chain become very long in iterative GraphX applications. As a result, StackOverflow error will occur. If we set "f = null" in `clearDependencies()`, checkpoint() can cut off the long serialization chain. More details and explanation can be found in the JIRA. Author: JerryLead <[email protected]> Author: Lijie Xu <[email protected]> Closes apache#3545 from JerryLead/my_core and squashes the following commits: f7faea5 [JerryLead] checkpoint() should clear the f to avoid StackOverflow error c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master

…ins an empty AttributeSet() references The sql "select * from spark_test::for_test where abs(20141202) is not null" has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)) and partitionKeyIds=AttributeSet(). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Then the exception "java.lang.IllegalArgumentException: requirement failed: Partition pruning predicates only supported for partitioned tables." is thrown. The sql "select * from spark_test::for_test_partitioned_table where abs(20141202) is not null and type_id=11 and platform = 3" with partitioned key insert_date has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202), (type_id#12 = 11), (platform#8 = 3)) and partitionKeyIds=AttributeSet(insert_date#24). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Author: YanTangZhai <[email protected]> Author: yantangzhai <[email protected]> Closes apache#3556 from YanTangZhai/SPARK-4693 and squashes the following commits: 620ebe3 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 37cfdf5 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 70a3544 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references efa9b03 [YanTangZhai] Update HiveQuerySuite.scala 72accf1 [YanTangZhai] Update HiveQuerySuite.scala e572b9a [YanTangZhai] Update HiveStrategies.scala 6e643f8 [YanTangZhai] Merge pull request apache#11 from apache/master e249846 [YanTangZhai] Merge pull request apache#10 from apache/master d26d982 [YanTangZhai] Merge pull request apache#9 from apache/master 76d4027 [YanTangZhai] Merge pull request apache#8 from apache/master 03b62b0 [YanTangZhai] Merge pull request apache#7 from apache/master 8a00106 [YanTangZhai] Merge pull request apache#6 from apache/master cbcba66 [YanTangZhai] Merge pull request apache#3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master

…askTracker to reduce the chance of the communicating problem Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem Author: YanTangZhai <[email protected]> Author: yantangzhai <[email protected]> Closes apache#3785 from YanTangZhai/SPARK-4946 and squashes the following commits: 9ca6541 [yantangzhai] [SPARK-4946] [CORE] Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem e4c2c0a [YanTangZhai] Merge pull request apache#15 from apache/master 718afeb [YanTangZhai] Merge pull request apache#12 from apache/master 6e643f8 [YanTangZhai] Merge pull request apache#11 from apache/master e249846 [YanTangZhai] Merge pull request apache#10 from apache/master d26d982 [YanTangZhai] Merge pull request apache#9 from apache/master 76d4027 [YanTangZhai] Merge pull request apache#8 from apache/master 03b62b0 [YanTangZhai] Merge pull request apache#7 from apache/master 8a00106 [YanTangZhai] Merge pull request apache#6 from apache/master cbcba66 [YanTangZhai] Merge pull request apache#3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master

Addition of a very limited number of local matrix manipulation and generation methods that would be helpful in the further development for algorithms on top of BlockMatrix (SPARK-3974), such as Randomized SVD, and Multi Model Training (SPARK-1486). The proposed methods for addition are: For `Matrix` - map: maps the values in the matrix with a given function. Produces a new matrix. - update: the values in the matrix are updated with a given function. Occurs in place. Factory methods for `DenseMatrix`: - *zeros: Generate a matrix consisting of zeros - *ones: Generate a matrix consisting of ones - *eye: Generate an identity matrix - *rand: Generate a matrix consisting of i.i.d. uniform random numbers - *randn: Generate a matrix consisting of i.i.d. gaussian random numbers - *diag: Generate a diagonal matrix from a supplied vector *These methods already exist in the factory methods for `Matrices`, however for cases where we require a `DenseMatrix`, you constantly have to add `.asInstanceOf[DenseMatrix]` everywhere, which makes the code "dirtier". I propose moving these functions to factory methods for `DenseMatrix` where the putput will be a `DenseMatrix` and the factory methods for `Matrices` will call these functions directly and output a generic `Matrix`. Factory methods for `SparseMatrix`: - speye: Identity matrix in sparse format. Saves a ton of memory when dimensions are large, especially in Multi Model Training, where each row requires being multiplied by a scalar. - sprand: Generate a sparse matrix with a given density consisting of i.i.d. uniform random numbers. - sprandn: Generate a sparse matrix with a given density consisting of i.i.d. gaussian random numbers. - diag: Generate a diagonal matrix from a supplied vector, but is memory efficient, because it just stores the diagonal. Again, very helpful in Multi Model Training. Factory methods for `Matrices`: - Include all the factory methods given above, but return a generic `Matrix` rather than `SparseMatrix` or `DenseMatrix`. - horzCat: Horizontally concatenate matrices to form one larger matrix. Very useful in both Multi Model Training, and for the repartitioning of BlockMatrix. - vertCat: Vertically concatenate matrices to form one larger matrix. Very useful for the repartitioning of BlockMatrix. The names for these methods were selected from MATLAB Author: Burak Yavuz <[email protected]> Author: Xiangrui Meng <[email protected]> Closes apache#3319 from brkyvz/SPARK-4409 and squashes the following commits: b0354f6 [Burak Yavuz] [SPARK-4409] Incorporated mengxr's code 04c4829 [Burak Yavuz] Merge pull request #1 from mengxr/SPARK-4409 80cfa29 [Xiangrui Meng] minor changes ecc937a [Xiangrui Meng] update sprand 4e95e24 [Xiangrui Meng] simplify fromCOO implementation 10a63a6 [Burak Yavuz] [SPARK-4409] Fourth pass of code review f62d6c7 [Burak Yavuz] [SPARK-4409] Modified genRandMatrix 3971c93 [Burak Yavuz] [SPARK-4409] Third pass of code review 75239f8 [Burak Yavuz] [SPARK-4409] Second pass of code review e4bd0c0 [Burak Yavuz] [SPARK-4409] Modified horzcat and vertcat 65c562e [Burak Yavuz] [SPARK-4409] Hopefully fixed Java Test d8be7bc [Burak Yavuz] [SPARK-4409] Organized imports 065b531 [Burak Yavuz] [SPARK-4409] First pass after code review a8120d2 [Burak Yavuz] [SPARK-4409] Finished updates to API according to SPARK-4614 f798c82 [Burak Yavuz] [SPARK-4409] Updated API according to SPARK-4614 c75f3cd [Burak Yavuz] [SPARK-4409] Added JavaAPI Tests, and fixed a couple of bugs d662f9d [Burak Yavuz] [SPARK-4409] Modified according to remote repo 83dfe37 [Burak Yavuz] [SPARK-4409] Scalastyle error fixed a14c0da [Burak Yavuz] [SPARK-4409] Initial commit to add methods

Implementation of Expectation-Maximization for Gaussian Mixture Models. This is my maiden contribution to Apache Spark, so I apologize now if I have done anything incorrectly; having said that, this work is my own, and I offer it to the project under the project's open source license. Author: Travis Galoppo <[email protected]> Author: Travis Galoppo <[email protected]> Author: tgaloppo <[email protected]> Author: FlytxtRnD <[email protected]> Closes apache#3022 from tgaloppo/master and squashes the following commits: aaa8f25 [Travis Galoppo] MLUtils: changed privacy of EPSILON from [util] to [mllib] 709e4bf [Travis Galoppo] fixed usage line to include optional maxIterations parameter acf1fba [Travis Galoppo] Fixed parameter comment in GaussianMixtureModel Made maximum iterations an optional parameter to DenseGmmEM 9b2fc2a [Travis Galoppo] Style improvements Changed ExpectationSum to a private class b97fe00 [Travis Galoppo] Minor fixes and tweaks. 1de73f3 [Travis Galoppo] Removed redundant array from array creation 578c2d1 [Travis Galoppo] Removed unused import 227ad66 [Travis Galoppo] Moved prediction methods into model class. 308c8ad [Travis Galoppo] Numerous changes to improve code cff73e0 [Travis Galoppo] Replaced accumulators with RDD.aggregate 20ebca1 [Travis Galoppo] Removed unusued code 42b2142 [Travis Galoppo] Added functionality to allow setting of GMM starting point. Added two cluster test to testing suite. 8b633f3 [Travis Galoppo] Style issue 9be2534 [Travis Galoppo] Style issue d695034 [Travis Galoppo] Fixed style issues c3b8ce0 [Travis Galoppo] Merge branch 'master' of https://github.com/tgaloppo/spark Adds predict() method 2df336b [Travis Galoppo] Fixed style issue b99ecc4 [tgaloppo] Merge pull request #1 from FlytxtRnD/predictBranch f407b4c [FlytxtRnD] Added predict() to return the cluster labels and membership values 97044cf [Travis Galoppo] Fixed style issues dc9c742 [Travis Galoppo] Moved MultivariateGaussian utility class e7d413b [Travis Galoppo] Moved multivariate Gaussian utility class to mllib/stat/impl Improved comments 9770261 [Travis Galoppo] Corrected a variety of style and naming issues. 8aaa17d [Travis Galoppo] Added additional train() method to companion object for cluster count and tolerance parameters. 676e523 [Travis Galoppo] Fixed to no longer ignore delta value provided on command line e6ea805 [Travis Galoppo] Merged with master branch; update test suite with latest context changes. Improved cluster initialization strategy. 86fb382 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' 719d8cc [Travis Galoppo] Added scala test suite with basic test c1a8e16 [Travis Galoppo] Made GaussianMixtureModel class serializable Modified sum function for better performance 5c96c57 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' c15405c [Travis Galoppo] SPARK-4156

Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <[email protected]> Author: Michael Armbrust <[email protected]> Closes apache#3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request apache#23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request apache#17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request apache#15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request apache#14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request apache#12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request apache#11 from apache/master e249846 [YanTangZhai] Merge pull request apache#10 from apache/master d26d982 [YanTangZhai] Merge pull request apache#9 from apache/master 76d4027 [YanTangZhai] Merge pull request apache#8 from apache/master 03b62b0 [YanTangZhai] Merge pull request apache#7 from apache/master 8a00106 [YanTangZhai] Merge pull request apache#6 from apache/master cbcba66 [YanTangZhai] Merge pull request apache#3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master

This implements the functionality for SPARK-4749 and provides units tests in Scala and PySpark Author: nate.crosswhite <[email protected]> Author: nxwhite-str <[email protected]> Author: Xiangrui Meng <[email protected]> Closes apache#3610 from nxwhite-str/master and squashes the following commits: a2ebbd3 [nxwhite-str] Merge pull request #1 from mengxr/SPARK-4749-kmeans-seed 7668124 [Xiangrui Meng] minor updates f8d5928 [nate.crosswhite] Addressing PR issues 277d367 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 9156a57 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 5d087b4 [nate.crosswhite] Adding KMeans train with seed and Scala unit test 616d111 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 35c1884 [nate.crosswhite] Add kmeans initial seed to pyspark API

This PR is based on apache#4229, thanks prabeesh. Closes apache#4229 Author: Prabeesh K <[email protected]> Author: zsxwing <[email protected]> Author: prabs <[email protected]> Author: Prabeesh K <[email protected]> Closes apache#7833 from zsxwing/pr4229 and squashes the following commits: 9570bec [zsxwing] Fix the variable name and check null in finally 4a9c79e [zsxwing] Fix pom.xml indentation abf5f18 [zsxwing] Merge branch 'master' into pr4229 935615c [zsxwing] Fix the flaky MQTT tests 47278c5 [zsxwing] Include the project class files 478f844 [zsxwing] Add unpack 5f8a1d4 [zsxwing] Make the maven build generate the test jar for Python MQTT tests 734db99 [zsxwing] Merge branch 'master' into pr4229 126608a [Prabeesh K] address the comments b90b709 [Prabeesh K] Merge pull request #1 from zsxwing/pr4229 d07f454 [zsxwing] Register StreamingListerner before starting StreamingContext; Revert unncessary changes; fix the python unit test a6747cb [Prabeesh K] wait for starting the receiver before publishing data 87fc677 [Prabeesh K] address the comments: 97244ec [zsxwing] Make sbt build the assembly test jar for streaming mqtt 80474d1 [Prabeesh K] fix 1f0cfe9 [Prabeesh K] python style fix e1ee016 [Prabeesh K] scala style fix a5a8f9f [Prabeesh K] added Python test 9767d82 [Prabeesh K] implemented Python-friendly class a11968b [Prabeesh K] fixed python style 795ec27 [Prabeesh K] address comments ee387ae [Prabeesh K] Fix assembly jar location of mqtt-assembly 3f4df12 [Prabeesh K] updated version b34c3c1 [prabs] adress comments 3aa7fff [prabs] Added Python streaming mqtt word count example b7d42ff [prabs] Mqtt streaming support in Python

This PR is based on apache#4229, thanks prabeesh. Closes apache#4229 Author: Prabeesh K <[email protected]> Author: zsxwing <[email protected]> Author: prabs <[email protected]> Author: Prabeesh K <[email protected]> Closes apache#7833 from zsxwing/pr4229 and squashes the following commits: 9570bec [zsxwing] Fix the variable name and check null in finally 4a9c79e [zsxwing] Fix pom.xml indentation abf5f18 [zsxwing] Merge branch 'master' into pr4229 935615c [zsxwing] Fix the flaky MQTT tests 47278c5 [zsxwing] Include the project class files 478f844 [zsxwing] Add unpack 5f8a1d4 [zsxwing] Make the maven build generate the test jar for Python MQTT tests 734db99 [zsxwing] Merge branch 'master' into pr4229 126608a [Prabeesh K] address the comments b90b709 [Prabeesh K] Merge pull request #1 from zsxwing/pr4229 d07f454 [zsxwing] Register StreamingListerner before starting StreamingContext; Revert unncessary changes; fix the python unit test a6747cb [Prabeesh K] wait for starting the receiver before publishing data 87fc677 [Prabeesh K] address the comments: 97244ec [zsxwing] Make sbt build the assembly test jar for streaming mqtt 80474d1 [Prabeesh K] fix 1f0cfe9 [Prabeesh K] python style fix e1ee016 [Prabeesh K] scala style fix a5a8f9f [Prabeesh K] added Python test 9767d82 [Prabeesh K] implemented Python-friendly class a11968b [Prabeesh K] fixed python style 795ec27 [Prabeesh K] address comments ee387ae [Prabeesh K] Fix assembly jar location of mqtt-assembly 3f4df12 [Prabeesh K] updated version b34c3c1 [prabs] adress comments 3aa7fff [prabs] Added Python streaming mqtt word count example b7d42ff [prabs] Mqtt streaming support in Python (cherry picked from commit 853809e) Signed-off-by: Tathagata Das <[email protected]>

… correctly ### What changes were proposed in this pull request? This PR proposes: 1. `CREATE OR REPLACE TEMP VIEW USING` should use `TemporaryViewRelation` to store temp views. 2. By doing #1, it fixes the issue where the temp view being replaced is not uncached. ### Why are the changes needed? This is a part of an ongoing work to wrap all the temporary views with `TemporaryViewRelation`: [SPARK-34698](https://issues.apache.org/jira/browse/SPARK-34698). This also fixes a bug where the temp view being replaced is not uncached. ### Does this PR introduce _any_ user-facing change? Yes, the temp view being replaced with `CREATE OR REPLACE TEMP VIEW USING` is correctly uncached if the temp view is cached. ### How was this patch tested? Added new tests. Closes apache#31825 from imback82/create_temp_view_using. Authored-by: Terry Kim <[email protected]> Signed-off-by: Wenchen Fan <[email protected]>

kanzhang and others added 2 commits May 10, 2014 14:01

srowen and others added 16 commits May 10, 2014 20:50

Enabled incremental build that comes with sbt 0.13.2

70bcdef

More info at. sbt/sbt#1010 Author: Prashant Sharma <[email protected]> Closes apache#525 from ScrapCodes/sbt-inc-opt and squashes the following commits: ba8fa42 [Prashant Sharma] Enabled incremental build that comes with sbt 0.13.2

Revert "SPARK-1786: Edge Partition Serialization"

af15c82

This reverts commit a6b02fb.

Making EdgePartition serializable.

a4a3faa

Add failing test for EdgePartition Kryo serialization

c0a9ae5

Disable reference tracking to fix serialization test

5d27824

addressing missing exclusion in MimaBuild.scala

cb2ed3a

Add concatenation operators to MimaBuild.scala

8ba6e0d

ankurdave pushed a commit that referenced this pull request May 29, 2014

Merge pull request #1 from ankurdave/label-propagation

0ac574c

LabelPropagation: Fix compile errors and style; rename; add test

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SPARK-1786: Edge Partition Serialization #1

SPARK-1786: Edge Partition Serialization #1

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ankurdave commented May 10, 2014

SPARK-1786: Edge Partition Serialization #1

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SPARK-1786: Edge Partition Serialization #1

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