java - How to handle multi-lines logs with spark streaming? -


i'm struggling find way parse multi-lines logs using spark streaming. created parser take array of string input parameter. when multi-line stacktrace found, loops on each line until reaches 'normal' line before processing it.

the logs injected via flume on kafka topic , received via kafkautils.createdirectstream.

when comes spark streaming, stacktraces might cut in middle on 2 (or more) distributed rdds. i'd lucky if not happen ...

my question is: reconstruct stacktraces cut before processing them?

should pre-process rdds , create new ones containing i'm waiting for? should reconstruct stacktraces via global buffer? should somehow play offsets? how exactly?

any ideas welcome.

thanx,

--mike


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