I am trying to copy data from Kafka into Hive tables using kafka-hdfs-connector provided by Confluent platform. While I am able to do it successfully I was wondering how to bucket the incoming data based on time interval. For example, I would like to have a new partition created every 5 minutes.
I tried io.confluent.connect.hdfs.partitioner.TimeBasedPartitioner with partition.duration.ms but I think I am doing it the wrong way. I see only one partition in the Hive table with all the data going into that particular partition. Something like this :
hive> show partitions test;
OK
partition
year=2016/month=03/day=15/hour=19/minute=03
And all the avro objects are getting copied into this partition.
Instead, I would like to have something like this :
hive> show partitions test;
OK
partition
year=2016/month=03/day=15/hour=19/minute=03
year=2016/month=03/day=15/hour=19/minute=08
year=2016/month=03/day=15/hour=19/minute=13
Initially connector will create the path year=2016/month=03/day=15/hour=19/minute=03 and will continue to copy all the incoming data into this directory for next 5 minutes, and at the start of 6th minute it should create a new path, i.e year=2016/month=03/day=15/hour=19/minute=08 and copy the data for next 5 minutes into this directory, and so on.
This is how my config file looks like :
name=hdfs-sink
connector.class=io.confluent.connect.hdfs.HdfsSinkConnector
tasks.max=1
topics=test
hdfs.url=hdfs://localhost:9000
flush.size=3
partitioner.class=io.confluent.connect.hdfs.partitioner.TimeBasedPartitioner
partition.duration.ms=300000
path.format='year'=YYYY/'month'=MM/'day'=dd/'hour'=HH/'minute'=MM/
locale=en
timezone=GMT
logs.dir=/kafka-connect/logs
topics.dir=/kafka-connect/topics
hive.integration=true
hive.metastore.uris=thrift://localhost:9083
schema.compatibility=BACKWARD
It would be really helpful if someone could point me in the right direction. I would be glad to share more details in case it's required. Don't want to make this question look like one that never ends.
Many thanks!