+1 - Ported all our internal jobs to run on 1.6.1 with no regressions.
On Wed, Mar 9, 2016 at 7:04 AM, Kousuke Saruta
wrote:
> +1 (non-binding)
>
>
> On 2016/03/09 4:28, Burak Yavuz wrote:
>
> +1
>
> On Tue, Mar 8, 2016 at 10:59 AM, Andrew Or
+1 (non-binding)
On 2016/03/09 4:28, Burak Yavuz wrote:
+1
On Tue, Mar 8, 2016 at 10:59 AM, Andrew Or > wrote:
+1
2016-03-08 10:59 GMT-08:00 Yin Huai >:
+1
+1
On Tue, Mar 8, 2016 at 10:59 AM, Andrew Or wrote:
> +1
>
> 2016-03-08 10:59 GMT-08:00 Yin Huai :
>
>> +1
>>
>> On Mon, Mar 7, 2016 at 12:39 PM, Reynold Xin wrote:
>>
>>> +1 (binding)
>>>
>>>
>>> On Sun, Mar 6, 2016 at 12:08
+1
2016-03-08 10:59 GMT-08:00 Yin Huai :
> +1
>
> On Mon, Mar 7, 2016 at 12:39 PM, Reynold Xin wrote:
>
>> +1 (binding)
>>
>>
>> On Sun, Mar 6, 2016 at 12:08 PM, Egor Pahomov
>> wrote:
>>
>>> +1
>>>
>>> Spark ODBC server is
+1
On Mon, Mar 7, 2016 at 12:39 PM, Reynold Xin wrote:
> +1 (binding)
>
>
> On Sun, Mar 6, 2016 at 12:08 PM, Egor Pahomov
> wrote:
>
>> +1
>>
>> Spark ODBC server is fine, SQL is fine.
>>
>> 2016-03-03 12:09 GMT-08:00 Yin Yang :
+1 (binding)
On Sun, Mar 6, 2016 at 12:08 PM, Egor Pahomov
wrote:
> +1
>
> Spark ODBC server is fine, SQL is fine.
>
> 2016-03-03 12:09 GMT-08:00 Yin Yang :
>
>> Skipping docker tests, the rest are green:
>>
>> [INFO] Spark Project External Kafka
+1
Spark ODBC server is fine, SQL is fine.
2016-03-03 12:09 GMT-08:00 Yin Yang :
> Skipping docker tests, the rest are green:
>
> [INFO] Spark Project External Kafka ... SUCCESS [01:28
> min]
> [INFO] Spark Project Examples .
FWIW I was running this with OpenJDK 1.8.0_66
On Thu, Mar 3, 2016 at 7:43 PM, Tim Preece wrote:
> Regarding the failure in
> org.apache.spark.streaming.kafka.DirectKafkaStreamSuite","offset recovery
>
> We have been seeing the very same problem with the IBM JDK for quite a
Regarding the failure in
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite","offset recovery
We have been seeing the very same problem with the IBM JDK for quite a long
time ( since at least July 2015 ).
It is intermittent and we had dismissed it as a testcase problem.
--
View this
@Yin Yang see https://issues.apache.org/jira/browse/SPARK-12426 Docker
has to be running locally for these tests to pass. I think it's a
little surprising. However I still get a docker error, below.
For me, +0 I guess. The signatures and hashes are all fine, but as
usual I'm getting test
When I ran test suite using the following command:
build/mvn clean -Phive -Phive-thriftserver -Pyarn -Phadoop-2.6
-Dhadoop.version=2.7.0 package
I got failure in Spark Project Docker Integration Tests :
16/03/02 17:36:46 INFO RemoteActorRefProvider$RemotingTerminator: Remote
daemon shut down;
I just created the following pull request ( against master but would like on
1.6.1 ) for the isolated classloader fix ( Spark-13648 )
https://github.com/apache/spark/pull/11495
--
View this message in context:
I have been testing 1.6.1RC1 using the IBM Java SDK.
I notice a problem ( with the org.apache.spark.sql.hive.client.VersionsSuite
tests ) after a recent Spark 1.6.1 change.
Pull request -
https://github.com/apache/spark/commit/f7898f9e2df131fa78200f6034508e74a78c2a44
The change introduced a
+1
On Wed, Mar 2, 2016 at 2:45 PM, Michael Armbrust
wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.6.1!
>
> The vote is open until Saturday, March 5, 2016 at 20:00 UTC and passes if
> a majority of at least 3+1 PMC votes are cast.
>
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