This looks really interesting, thanks for linking! Gary Lucas
On 24 October 2017 at 15:06, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > Great thanks Steve > > Dr Mich Talebzadeh > > > > LinkedIn * > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* > > > > http://talebzadehmich.wordpress.com > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > > > > On 24 October 2017 at 22:58, Stephen Boesch <java...@gmail.com> wrote: > >> Hi Mich, the github link has a brief intro - including a link to the >> formal docs http://logisland.readthedocs.io/en/latest/index.html . >> They have an architectural overview, developer guide, tutorial, and pretty >> comprehensive api docs. >> >> 2017-10-24 13:31 GMT-07:00 Mich Talebzadeh <mich.talebza...@gmail.com>: >> >>> thanks Thomas. >>> >>> do you have a summary write-up for this tool please? >>> >>> >>> regards, >>> >>> >>> >>> >>> Thomas >>> >>> Dr Mich Talebzadeh >>> >>> >>> >>> LinkedIn * >>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >>> >>> >>> >>> http://talebzadehmich.wordpress.com >>> >>> >>> *Disclaimer:* Use it at your own risk. Any and all responsibility for >>> any loss, damage or destruction of data or any other property which may >>> arise from relying on this email's technical content is explicitly >>> disclaimed. The author will in no case be liable for any monetary damages >>> arising from such loss, damage or destruction. >>> >>> >>> >>> On 24 October 2017 at 13:53, Thomas Bailet <thomas.bai...@hurence.com> >>> wrote: >>> >>>> Hi >>>> >>>> we (@ hurence) have released on open source middleware based on >>>> SparkStreaming over Kafka to do CEP and log mining, called *logisland* >>>> (https://github.com/Hurence/logisland/) it has been deployed into >>>> production for 2 years now and does a great job. You should have a look. >>>> >>>> >>>> bye >>>> >>>> Thomas Bailet >>>> >>>> CTO : hurence >>>> >>>> Le 18/10/17 à 22:05, Mich Talebzadeh a écrit : >>>> >>>> As you may be aware the granularity that Spark streaming has is >>>> micro-batching and that is limited to 0.5 second. So if you have continuous >>>> ingestion of data then Spark streaming may not be granular enough for CEP. >>>> You may consider other products. >>>> >>>> Worth looking at this old thread on mine "Spark support for Complex >>>> Event Processing (CEP) >>>> >>>> https://mail-archives.apache.org/mod_mbox/spark-user/201604. >>>> mbox/%3CCAJ3fcbB8eaf0JV84bA7XGUK5GajC1yGT3ZgTNCi8arJg56=LbQ@ >>>> mail.gmail.com%3E >>>> >>>> HTH >>>> >>>> >>>> Dr Mich Talebzadeh >>>> >>>> >>>> >>>> LinkedIn * >>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >>>> >>>> >>>> >>>> http://talebzadehmich.wordpress.com >>>> >>>> >>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for >>>> any loss, damage or destruction of data or any other property which may >>>> arise from relying on this email's technical content is explicitly >>>> disclaimed. The author will in no case be liable for any monetary damages >>>> arising from such loss, damage or destruction. >>>> >>>> >>>> >>>> On 18 October 2017 at 20:52, anna stax <annasta...@gmail.com> wrote: >>>> >>>>> Hello all, >>>>> >>>>> Has anyone used spark streaming for CEP (Complex Event processing). >>>>> Any CEP libraries that works well with spark. I have a use case for CEP >>>>> and >>>>> trying to see if spark streaming is a good fit. >>>>> >>>>> Currently we have a data pipeline using Kafka, Spark streaming and >>>>> Cassandra for data ingestion and near real time dashboard. >>>>> >>>>> Please share your experience. >>>>> Thanks much. >>>>> -Anna >>>>> >>>>> >>>>> >>>> >>>> >>> >> >