The test passes when run alone on my machine as well. Please run test suite.
Thanks On Mon, Jun 29, 2015 at 2:01 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote: > @Ted, I ran the following two commands. > > mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive -DskipTests clean > package > mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive > -DwildcardSuites=org.apache.spark.streaming.StreamingContextSuite test > > Using Java version "1.7.0_51", the tests passed normally. > > > > On Mon, Jun 29, 2015 at 1:05 PM, Krishna Sankar <ksanka...@gmail.com> > wrote: > >> +1 (non-binding, of course) >> >> 1. Compiled OSX 10.10 (Yosemite) OK Total time: 13:26 min >> mvn clean package -Pyarn -Phadoop-2.6 -DskipTests >> 2. Tested pyspark, mllib >> 2.1. statistics (min,max,mean,Pearson,Spearman) OK >> 2.2. Linear/Ridge/Laso Regression OK >> 2.3. Decision Tree, Naive Bayes OK >> 2.4. KMeans OK >> Center And Scale OK >> 2.5. RDD operations OK >> State of the Union Texts - MapReduce, Filter,sortByKey (word count) >> 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK >> Model evaluation/optimization (rank, numIter, lambda) with >> itertools OK >> 3. Scala - MLlib >> 3.1. statistics (min,max,mean,Pearson,Spearman) OK >> 3.2. LinearRegressionWithSGD OK >> 3.3. Decision Tree OK >> 3.4. KMeans OK >> 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK >> 3.6. saveAsParquetFile OK >> 3.7. Read and verify the 4.3 save(above) - sqlContext.parquetFile, >> registerTempTable, sql OK >> 3.8. result = sqlContext.sql("SELECT >> OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER >> JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK >> 4.0. Spark SQL from Python OK >> 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'") OK >> 5.0. Packages >> 5.1. com.databricks.spark.csv - read/write OK >> >> Cheers >> <k/> >> >> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell <pwend...@gmail.com> >> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 1.4.1! >>> >>> This release fixes a handful of known issues in Spark 1.4.0, listed here: >>> http://s.apache.org/spark-1.4.1 >>> >>> The tag to be voted on is v1.4.1-rc1 (commit 60e08e5): >>> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h= >>> 60e08e50751fe3929156de956d62faea79f5b801 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> http://people.apache.org/~pwendell/spark-releases/spark-1.4.1-rc1-bin/ >>> >>> Release artifacts are signed with the following key: >>> https://people.apache.org/keys/committer/pwendell.asc >>> >>> The staging repository for this release can be found at: >>> [published as version: 1.4.1] >>> https://repository.apache.org/content/repositories/orgapachespark-1118/ >>> [published as version: 1.4.1-rc1] >>> https://repository.apache.org/content/repositories/orgapachespark-1119/ >>> >>> The documentation corresponding to this release can be found at: >>> http://people.apache.org/~pwendell/spark-releases/spark-1.4.1-rc1-docs/ >>> >>> Please vote on releasing this package as Apache Spark 1.4.1! >>> >>> The vote is open until Saturday, June 27, at 06:32 UTC and passes >>> if a majority of at least 3 +1 PMC votes are cast. >>> >>> [ ] +1 Release this package as Apache Spark 1.4.1 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see >>> http://spark.apache.org/ >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> For additional commands, e-mail: dev-h...@spark.apache.org >>> >>> >> >