I have created small spark streaming program to fetch data from Kinesis and
put some data in database.
When i ran it in spark standalone cluster using master as local[*] it is
working fine but when i tried to run in yarn cluster with master as "yarn"
application doesn't receive any data.
I submit job using following command
spark-submit --class <<className>> --master yarn --deploy-mode cluster
--queue default --executor-cores 2 --executor-memory 2G --num-executors 4
<<jar>
My java code is like
JavaDStream<Aggregation> enrichStream =
javaDStream.flatMap(sparkRecordProcessor);
enrichStream.mapToPair(new PairFunction<Aggregation, Aggregation, Integer>()
{
@Override
public Tuple2<Aggregation, Integer> call(Aggregation s) throws
Exception {
LOGGER.info("creating tuple " + s);
return new Tuple2<>(s, 1);
}
}).reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer i1, Integer i2) throws Exception {
LOGGER.info("reduce by key {}, {}", i1, i2);
return i1 + i2;
}
}).foreach(sparkDatabaseProcessor);
I have put some logs in sparkRecordProcessor and sparkDatabaseProcessor.
I can see that sparkDatabaseProcessor executed every batch interval(10 sec)
and but find no log in sparkRecordProcessor.
There is no event(avg/sec) in Spark Streaming UI.
In Executor tab i can see 3 executors. Data against these executors are also
continuously updated.
I also check Dynamodb table in Amazon and leaseCounter is updated regularly
from my application.
But spark streaming gets no data from Kinesis in yarn.
I see "shuffleBlockFetcherIterator: Getting 0 non-empty blocks out of 0
blocks" many times in log.
I don't know what else i need to do to run spark streaming on yarn.
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