You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@kylin.apache.org by Luke Han <lu...@gmail.com> on 2015/11/10 08:16:18 UTC
Re: OLAP query using spark dataframe with cassandra
Some friends refer me this thread about OLAP/Kylin and Spark...
Here's my 2 cents..
If you are trying to setup OLAP, Apache Kylin should be one good idea for
you to evaluate.
The project has developed more than 2 years and going to graduate to Apache
Top Level Project [1].
There are many deployments on production already include eBay, Exponential,
JD.com, VIP.com and others, refer to powered by page [2].
Apache Kylin's spark engine also on the way, there's discussion about
turning the performance [3].
There are variety clients are available to interactive with Kylin with ANSI
SQL, including Tableau, Zeppelin, Pentaho/mondrian, Saiku/mondrian, and the
Excel/PowerBI support will roll out this week.
Apache Kylin is young but mature with huge case validation (one biggest
cube in eBay contains 85+B rows, 90%ile production platform's query latency
in few seconds).
StreamingOLAP is coming in Kylin v2.0 with plug-able architecture, there's
already one real case on production inside eBay, please refer to our design
deck [4]
We are really welcome everyone to join and contribute to Kylin as OLAP
engine for Big Data:-)
Please feel free to contact our community or me for any question.
Thanks.
1. http://s.apache.org/bah
2. http://kylin.incubator.apache.org/community/poweredby.html
3. http://s.apache.org/lHA
4.
http://www.slideshare.net/lukehan/1-apache-kylin-deep-dive-streaming-and-plugin-architecture-apache-kylin-meetup-shanghai
5. http://kylin.io
Best Regards!
---------------------
Luke Han
On Tue, Nov 10, 2015 at 2:56 AM, tsh <ts...@timshenkao.su> wrote:
> Hi,
>
> I'm in the same position right now: we are going to implement something
> like OLAP BI + Machine Learning explorations on the same cluster.
> Well, the question is quite ambivalent: from one hand, we have terabytes
> of versatile data and the necessity to make something like cubes (Hive and
> Hive on HBase are unsatisfactory). From the other, our users get accustomed
> to Tableau + Vertica.
> So, right now I consider the following choices:
> 1) Platfora (not free, I don't know price right now) + Spark
> 2) AtScale + Tableau(not free, I don't know price right now) + Spark
> 3) Apache Kylin (young project?) + Spark on YARN + Kafka + Flume + some
> storage
> 4) Apache Phoenix + Apache HBase + Mondrian + Spark on YARN + Kafka +
> Flume (has somebody use it in production?)
> 5) Spark + Tableau (cubes?)
>
> For myself, I decided not to dive into Mesos. Cassandra is hardly
> configurable, you'll have to dedicate special employee to support it.
>
> I'll be glad to hear other ideas & propositions as we are at the beginning
> of the process too.
>
> Sincerely yours, Tim Shenkao
>
>
> On 11/09/2015 09:46 AM, fightfate@163.com wrote:
>
> Hi,
>
> Thanks for suggesting. Actually we are now evaluating and stressing the
> spark sql on cassandra, while
>
> trying to define business models. FWIW, the solution mentioned here is
> different from traditional OLAP
>
> cube engine, right ? So we are hesitating on the common sense or direction
> choice of olap architecture.
>
> And we are happy to hear more use case from this community.
>
> Best,
> Sun.
>
> ------------------------------
> fightfate@163.com
>
>
> *From:* Jörn Franke <jo...@gmail.com>
> *Date:* 2015-11-09 14:40
> *To:* fightfate@163.com
> *CC:* user <us...@spark.apache.org>; dev <de...@spark.apache.org>
> *Subject:* Re: OLAP query using spark dataframe with cassandra
>
> Is there any distributor supporting these software components in
> combination? If no and your core business is not software then you may want
> to look for something else, because it might not make sense to build up
> internal know-how in all of these areas.
>
> In any case - it depends all highly on your data and queries. You will
> have to do your own experiments.
>
> On 09 Nov 2015, at 07:02, "fightfate@163.com" <fi...@163.com> wrote:
>
> Hi, community
>
> We are specially interested about this featural integration according to
> some slides from [1]. The SMACK(Spark+Mesos+Akka+Cassandra+Kafka)
>
> seems good implementation for lambda architecure in the open-source world,
> especially non-hadoop based cluster environment. As we can see,
>
> the advantages obviously consist of :
>
> 1 the feasibility and scalability of spark datafram api, which can also
> make a perfect complement for Apache Cassandra native cql feature.
>
> 2 both streaming and batch process availability using the ALL-STACK thing,
> cool.
>
> 3 we can both achieve compacity and usability for spark with cassandra,
> including seemlessly integrating with job scheduling and resource
> management.
>
> Only one concern goes to the OLAP query performance issue, which mainly
> caused by frequent aggregation work between daily increased large tables,
> for
>
> both spark sql and cassandra. I can see that the [1] use case facilitates
> FiloDB to achieve columnar storage and query performance, but we had
> nothing more
>
> knowledge.
>
> Question is : Any guy had such use case for now, especially using in your
> production environment ? Would be interested in your architeture for
> designing this
>
> OLAP engine using spark + cassandra. What do you think the comparison
> between the scenario with traditional OLAP cube design? Like Apache Kylin
> or
>
> pentaho mondrian ?
>
> Best Regards,
>
> Sun.
>
>
> [1]
> <http://www.slideshare.net/planetcassandra/cassandra-summit-2014-interactive-olap-queries-using-apache-cassandra-and-spark>
> http://www.slideshare.net/planetcassandra/cassandra-summit-2014-interactive-olap-queries-using-apache-cassandra-and-spark
>
> ------------------------------
> fightfate@163.com
>
>
>
Re: OLAP query using spark dataframe with cassandra
Posted by KylinPOC <sa...@gmail.com>.
That's great.
Good to know the roadmap of Kylin.
--
View this message in context: http://apache-kylin-incubating.74782.x6.nabble.com/Re-OLAP-query-using-spark-dataframe-with-cassandra-tp2285p2291.html
Sent from the Apache Kylin (Incubating) mailing list archive at Nabble.com.
Re: OLAP query using spark dataframe with cassandra
Posted by David Morales <dm...@stratio.com>.
Hi there,
Please consider our real-time aggregation engine, sparkta, fully open
source (Apache2 License).
Here you have some slides about the project:
- http://www.slideshare.net/Stratio/strata-sparkta
And the source code:
- https://github.com/Stratio/sparkta
Sparkta is a real-time aggregation engine based on spark streaming. You can
define your aggregation policy in a declarative way and choose the output
of your rollups, too. In addition, you can store the raw data and transform
data on-the-fly, among other features.
When working with Cassandra, it could be useful to use the lucene
integration that we have also released at Stratio:
- http://www.slideshare.net/Stratio/cassandra-meetup-20150217
- https://github.com/Stratio/cassandra-lucene-index
Ready for use with sparkSQL or in your CQL queries.
We are now working in a SQL layer to work with the cubes in a flexible way,
but this is not available at this moment.
Do not hesitate to contact us if you have any doubt.
Regards.
2015-11-10 8:16 GMT+01:00 Luke Han <lu...@gmail.com>:
> Some friends refer me this thread about OLAP/Kylin and Spark...
>
> Here's my 2 cents..
>
> If you are trying to setup OLAP, Apache Kylin should be one good idea for
> you to evaluate.
>
> The project has developed more than 2 years and going to graduate to
> Apache Top Level Project [1].
> There are many deployments on production already include
> eBay, Exponential, JD.com, VIP.com and others, refer to powered by page [2].
>
> Apache Kylin's spark engine also on the way, there's discussion about
> turning the performance [3].
>
> There are variety clients are available to interactive with Kylin with
> ANSI SQL, including Tableau, Zeppelin, Pentaho/mondrian, Saiku/mondrian,
> and the Excel/PowerBI support will roll out this week.
>
> Apache Kylin is young but mature with huge case validation (one biggest
> cube in eBay contains 85+B rows, 90%ile production platform's query latency
> in few seconds).
>
> StreamingOLAP is coming in Kylin v2.0 with plug-able architecture, there's
> already one real case on production inside eBay, please refer to our design
> deck [4]
>
> We are really welcome everyone to join and contribute to Kylin as OLAP
> engine for Big Data:-)
>
> Please feel free to contact our community or me for any question.
>
> Thanks.
>
> 1. http://s.apache.org/bah
> 2. http://kylin.incubator.apache.org/community/poweredby.html
> 3. http://s.apache.org/lHA
> 4.
> http://www.slideshare.net/lukehan/1-apache-kylin-deep-dive-streaming-and-plugin-architecture-apache-kylin-meetup-shanghai
> 5. http://kylin.io
>
>
> Best Regards!
> ---------------------
>
> Luke Han
>
> On Tue, Nov 10, 2015 at 2:56 AM, tsh <ts...@timshenkao.su> wrote:
>
>> Hi,
>>
>> I'm in the same position right now: we are going to implement something
>> like OLAP BI + Machine Learning explorations on the same cluster.
>> Well, the question is quite ambivalent: from one hand, we have terabytes
>> of versatile data and the necessity to make something like cubes (Hive and
>> Hive on HBase are unsatisfactory). From the other, our users get accustomed
>> to Tableau + Vertica.
>> So, right now I consider the following choices:
>> 1) Platfora (not free, I don't know price right now) + Spark
>> 2) AtScale + Tableau(not free, I don't know price right now) + Spark
>> 3) Apache Kylin (young project?) + Spark on YARN + Kafka + Flume + some
>> storage
>> 4) Apache Phoenix + Apache HBase + Mondrian + Spark on YARN + Kafka +
>> Flume (has somebody use it in production?)
>> 5) Spark + Tableau (cubes?)
>>
>> For myself, I decided not to dive into Mesos. Cassandra is hardly
>> configurable, you'll have to dedicate special employee to support it.
>>
>> I'll be glad to hear other ideas & propositions as we are at the
>> beginning of the process too.
>>
>> Sincerely yours, Tim Shenkao
>>
>>
>> On 11/09/2015 09:46 AM, fightfate@163.com wrote:
>>
>> Hi,
>>
>> Thanks for suggesting. Actually we are now evaluating and stressing the
>> spark sql on cassandra, while
>>
>> trying to define business models. FWIW, the solution mentioned here is
>> different from traditional OLAP
>>
>> cube engine, right ? So we are hesitating on the common sense or
>> direction choice of olap architecture.
>>
>> And we are happy to hear more use case from this community.
>>
>> Best,
>> Sun.
>>
>> ------------------------------
>> fightfate@163.com
>>
>>
>> *From:* Jörn Franke <jo...@gmail.com>
>> *Date:* 2015-11-09 14:40
>> *To:* fightfate@163.com
>> *CC:* user <us...@spark.apache.org>; dev <de...@spark.apache.org>
>> *Subject:* Re: OLAP query using spark dataframe with cassandra
>>
>> Is there any distributor supporting these software components in
>> combination? If no and your core business is not software then you may want
>> to look for something else, because it might not make sense to build up
>> internal know-how in all of these areas.
>>
>> In any case - it depends all highly on your data and queries. You will
>> have to do your own experiments.
>>
>> On 09 Nov 2015, at 07:02, "fightfate@163.com" <fi...@163.com> wrote:
>>
>> Hi, community
>>
>> We are specially interested about this featural integration according to
>> some slides from [1]. The SMACK(Spark+Mesos+Akka+Cassandra+Kafka)
>>
>> seems good implementation for lambda architecure in the open-source
>> world, especially non-hadoop based cluster environment. As we can see,
>>
>> the advantages obviously consist of :
>>
>> 1 the feasibility and scalability of spark datafram api, which can also
>> make a perfect complement for Apache Cassandra native cql feature.
>>
>> 2 both streaming and batch process availability using the ALL-STACK
>> thing, cool.
>>
>> 3 we can both achieve compacity and usability for spark with cassandra,
>> including seemlessly integrating with job scheduling and resource
>> management.
>>
>> Only one concern goes to the OLAP query performance issue, which mainly
>> caused by frequent aggregation work between daily increased large tables,
>> for
>>
>> both spark sql and cassandra. I can see that the [1] use case facilitates
>> FiloDB to achieve columnar storage and query performance, but we had
>> nothing more
>>
>> knowledge.
>>
>> Question is : Any guy had such use case for now, especially using in your
>> production environment ? Would be interested in your architeture for
>> designing this
>>
>> OLAP engine using spark + cassandra. What do you think the comparison
>> between the scenario with traditional OLAP cube design? Like Apache Kylin
>> or
>>
>> pentaho mondrian ?
>>
>> Best Regards,
>>
>> Sun.
>>
>>
>> [1]
>> <http://www.slideshare.net/planetcassandra/cassandra-summit-2014-interactive-olap-queries-using-apache-cassandra-and-spark>
>> http://www.slideshare.net/planetcassandra/cassandra-summit-2014-interactive-olap-queries-using-apache-cassandra-and-spark
>>
>> ------------------------------
>> fightfate@163.com
>>
>>
>>
>
--
David Morales de Frías :: +34 607 010 411 :: @dmoralesdf
<https://twitter.com/dmoralesdf>
<http://www.stratio.com/>
Vía de las dos Castillas, 33, Ática 4, 3ª Planta
28224 Pozuelo de Alarcón, Madrid
Tel: +34 91 828 6473 // www.stratio.com // *@stratiobd
<https://twitter.com/StratioBD>*
Re: OLAP query using spark dataframe with cassandra
Posted by danielcsant <dc...@stratio.com>.
You can also evaluate Stratio Sparkta. It is a real time aggregation tool
based on Spark Streaming.
It is able to write in Cassandra and in other databases like MongoDB,
Elasticsearch,... It is prepared to deploy this aggregations in Mesos so
maybe it fits your necessities.
There is no a query layer that could abstract the analytics part in OLAP but
it is on the roadmap.
Disclaimer: I work in this product
--
View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/OLAP-query-using-spark-dataframe-with-cassandra-tp15082p15113.html
Sent from the Apache Spark Developers List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
For additional commands, e-mail: dev-help@spark.apache.org