Hi, What do you see under Executors and Details for Stage (for the affected stages)? Anything weird memory-related?
How does your "I am reading data from Kafka into Spark and writing it into Cassandra after processing it." pipeline look like? Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Mon, Jun 13, 2016 at 11:56 PM, Cassa L <lcas...@gmail.com> wrote: > Hi, > > I'm using spark 1.5.1 version. I am reading data from Kafka into Spark and > writing it into Cassandra after processing it. Spark job starts fine and > runs all good for some time until I start getting below errors. Once these > errors come, job start to lag behind and I see that job has scheduling and > processing delays in streaming UI. > > Worker memory is 6GB, executor-memory is 5GB, I also tried to tweak > memoryFraction parameters. Nothing works. > > > 16/06/13 21:26:02 INFO MemoryStore: ensureFreeSpace(4044) called with > curMem=565394, maxMem=2778495713 > 16/06/13 21:26:02 INFO MemoryStore: Block broadcast_69652_piece0 stored as > bytes in memory (estimated size 3.9 KB, free 2.6 GB) > 16/06/13 21:26:02 INFO TorrentBroadcast: Reading broadcast variable 69652 > took 2 ms > 16/06/13 21:26:02 WARN MemoryStore: Failed to reserve initial memory > threshold of 1024.0 KB for computing block broadcast_69652 in memory. > 16/06/13 21:26:02 WARN MemoryStore: Not enough space to cache > broadcast_69652 in memory! (computed 496.0 B so far) > 16/06/13 21:26:02 INFO MemoryStore: Memory use = 556.1 KB (blocks) + 2.6 GB > (scratch space shared across 0 tasks(s)) = 2.6 GB. Storage limit = 2.6 GB. > 16/06/13 21:26:02 WARN MemoryStore: Persisting block broadcast_69652 to disk > instead. > 16/06/13 21:26:02 INFO BlockManager: Found block rdd_100761_1 locally > 16/06/13 21:26:02 INFO Executor: Finished task 0.0 in stage 71577.0 (TID > 452316). 2043 bytes result sent to driver > > > Thanks, > > L --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
