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 >>> >>> >>> >> >> >
