Hello Seth, Thank you very much for your reply. I've taken a look at MATCH_RECOGNIZE but I have the following doubt. Can I implement a state machine that detect patterns with multiple end states? To give you a concrete example:
I'm trying to count the number of *Jobs* that have been *cancelled* and *completed*. The state machine associated with this Job concept is as follows: Started -> On-Going (Multiple Progress messages) -> Closed -> Completed ----\ \--------------\--------------------------------------------------------\----------------\------------- > Cancelled At any point the Job can be cancelled from the previous state. This cancel message can take anywhere from 1-2 weeks to be received. The duration of this state machine (Job lifecycle) is roughly 6 months. How can I keep a count of the number of Jobs that have been completed but not cancelled such that when a cancel appears on a previously (completed | closed) I decrease my counter but not when a cancel appears after a started or progress state (no counter increment or decrement) ? I hope this example was clear. Thank you for your time! Pedro Silva Em sex., 10 de set. de 2021 às 20:18, Seth Wiesman <sjwies...@gmail.com> escreveu: > Hi Pedro, > > The DataStream CEP library is not available in Python but you can use > `MATCH_RECOGNIZE` in the table API which is implemented on-top of the CEP > library from Python. > > > https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/table/sql/queries/match_recognize/ > > > Seth > > On Fri, Sep 10, 2021 at 11:34 AM Pedro Silva <pedro.cl...@gmail.com> > wrote: > >> Hello, >> >> Is Flink's CEP library >> <https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/libs/cep/> >> available >> in python? From the documentation I see no references so I'm guessing the >> answer is no but wanted some confirmation from the community or developers. >> >> Are there plans to support this library in python or alternatively, >> another library altogether that can be used in python? >> >> Thank you and have a nice weekend, >> Pedro Silva >> >
