Impossible to guess with that info, but maybe one of: - “Wrong” consistency level for reads or writes - Incorrect primary key definition (you’re overwriting data you don’t realize you’re overwriting)
Less likely: - Broken cluster where hosts are flapping and you’re missing data on read - using a version of Cassandra with bugs in short read protection -- Jeff Jirsa > On Apr 21, 2018, at 2:05 PM, Soheil Pourbafrani <soheil.i...@gmail.com> wrote: > > I consume data from Kafka and insert them into Cassandra cluster using Java > API. The table has 4 keys including a timestamp based on millisecond. But > when executing the code, it just inserts 120 to 190 rows and ignores other > incoming data! > > What parts can be the cause of the problem? Bad insert code in key fields > that overwrite data, improper cluster configuration,....? --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@cassandra.apache.org For additional commands, e-mail: user-h...@cassandra.apache.org
