Bryan, So the best practice when segmenting is to - build your segments as a list while processing the incoming stream - then after send them all to the relationship
right? On March 1, 2019 at 09:21:46, Bryan Bende (bbe...@gmail.com) wrote: Hello, Flow files are not transferred until the session they came form is committed. So imagine we periodically commit and some of the splits are transferred, then half way through a failure is encountered, the entire original flow file will be reprocessed, producing some of the same splits that were already send out. The way it is implemented now, it is either completely successful, or not, but never partially successful producing duplicates. Based on the description of your flow with the three processors you mentioned, I wouldn't bother using SplitRecord, just have ListenHttp -> PublishKafkaRecord. PublishKafkaRecorcd can be configured with the same reader and writer you were using in SplitRecord, and it will read each record and send to Kafka, without having to produce unnecessary flow files. Thanks, Bryan On Fri, Mar 1, 2019 at 3:44 AM Kumara M S, Hemantha (Nokia - IN/Bangalore) <hemantha.kumara_...@nokia.com> wrote: > > Hi All, > > We have a use case where receiving huge json(file size might vary from 1GB to 50GB) via http, convert in to XML(xml format is not fixed, any other format is fine) and send out using Kafka. - here is the restriction is CPU & RAM usage requirement(once it is fixed, it should handle all size files) should not getting changed based on incoming file size. > > We used ListenHTTP -->SplitRecord -->PublishKafa , but we have observed one behaviour where SplitRecord is sending out data to PublishKafa only after whole FlowFile processing. Is there any reason why did we design this way? Will it not be good if we send out splits to next processor after each configured records instead of all sending all splits at one shot? > > > Regards, > Hemantha >
