The default of 0 means no limit. Each batch will grab as much as is
available, ie a range of offsets spanning from the end of the previous
batch to the highest available offsets on the leader.
If you set spark.streaming.kafka.maxRatePerPartition > 0, the number you
set is the maximum number of me
Hi,
Could someone explain the behavior of the
spark.streaming.kafka.maxRatePerPartition parameter? The doc says "An
important (configuration) is spark.streaming.kafka.maxRatePerPartition which
is the maximum rate at which each Kafka partition will be read by (the)
direct API."
What is the default