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
>>>
>>>
>>
>

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