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Posted to dev@pig.apache.org by Adam Szita <sz...@apache.org> on 2017/06/21 09:05:05 UTC
[ANNOUNCE] Apache Pig 0.17.0 released
The Pig team is happy to announce the Pig 0.17.0 release.
Apache Pig provides a high-level data-flow language and execution framework
for parallel computation on Hadoop clusters.
More details about Pig can be found at http://pig.apache.org/.
The highlights of this release is the introduction of Spark execution
engine. The details of the release can be found at
http://pig.apache.org/releases.html.
Re: [ANNOUNCE] Apache Pig 0.17.0 released
Posted by "Jianfeng (Jeff) Zhang" <jz...@hortonworks.com>.
Awesome, I also have integrated spark engine in zeppelin notebook as well.
https://github.com/zjffdu/zeppelin/tree/ZEPPELIN-2615
Best Regard,
Jeff Zhang
On 6/23/17, 5:09 AM, "Rohini Palaniswamy" <ro...@gmail.com> wrote:
>Thanks Adam for being the Release Manager and getting this important
>release out. Pig on Spark is another milestone that will benefit users
>looking for improved execution times and migrating out of mapreduce .
>
>Regards,
>Rohini
>
>On Wed, Jun 21, 2017 at 2:05 AM, Adam Szita <sz...@apache.org> wrote:
>
>> The Pig team is happy to announce the Pig 0.17.0 release.
>>
>> Apache Pig provides a high-level data-flow language and execution
>>framework
>> for parallel computation on Hadoop clusters.
>> More details about Pig can be found at http://pig.apache.org/.
>>
>> The highlights of this release is the introduction of Spark execution
>> engine. The details of the release can be found at
>> http://pig.apache.org/releases.html.
>>
Re: [ANNOUNCE] Apache Pig 0.17.0 released
Posted by "Jianfeng (Jeff) Zhang" <jz...@hortonworks.com>.
Awesome, I also have integrated spark engine in zeppelin notebook as well.
https://github.com/zjffdu/zeppelin/tree/ZEPPELIN-2615
Best Regard,
Jeff Zhang
On 6/23/17, 5:09 AM, "Rohini Palaniswamy" <ro...@gmail.com> wrote:
>Thanks Adam for being the Release Manager and getting this important
>release out. Pig on Spark is another milestone that will benefit users
>looking for improved execution times and migrating out of mapreduce .
>
>Regards,
>Rohini
>
>On Wed, Jun 21, 2017 at 2:05 AM, Adam Szita <sz...@apache.org> wrote:
>
>> The Pig team is happy to announce the Pig 0.17.0 release.
>>
>> Apache Pig provides a high-level data-flow language and execution
>>framework
>> for parallel computation on Hadoop clusters.
>> More details about Pig can be found at http://pig.apache.org/.
>>
>> The highlights of this release is the introduction of Spark execution
>> engine. The details of the release can be found at
>> http://pig.apache.org/releases.html.
>>
Re: [ANNOUNCE] Apache Pig 0.17.0 released
Posted by Rohini Palaniswamy <ro...@gmail.com>.
Thanks Adam for being the Release Manager and getting this important
release out. Pig on Spark is another milestone that will benefit users
looking for improved execution times and migrating out of mapreduce .
Regards,
Rohini
On Wed, Jun 21, 2017 at 2:05 AM, Adam Szita <sz...@apache.org> wrote:
> The Pig team is happy to announce the Pig 0.17.0 release.
>
> Apache Pig provides a high-level data-flow language and execution framework
> for parallel computation on Hadoop clusters.
> More details about Pig can be found at http://pig.apache.org/.
>
> The highlights of this release is the introduction of Spark execution
> engine. The details of the release can be found at
> http://pig.apache.org/releases.html.
>
Re: [ANNOUNCE] Apache Pig 0.17.0 released
Posted by Rohini Palaniswamy <ro...@gmail.com>.
Thanks Adam for being the Release Manager and getting this important
release out. Pig on Spark is another milestone that will benefit users
looking for improved execution times and migrating out of mapreduce .
Regards,
Rohini
On Wed, Jun 21, 2017 at 2:05 AM, Adam Szita <sz...@apache.org> wrote:
> The Pig team is happy to announce the Pig 0.17.0 release.
>
> Apache Pig provides a high-level data-flow language and execution framework
> for parallel computation on Hadoop clusters.
> More details about Pig can be found at http://pig.apache.org/.
>
> The highlights of this release is the introduction of Spark execution
> engine. The details of the release can be found at
> http://pig.apache.org/releases.html.
>