A high level shot in the dark but in our testing we found Spark 1.6 a lot more reliable in low memory situations (presumably due to https://issues.apache.org/jira/browse/SPARK-10000). If it’s an option, probably worth a try.
Cheers Ben On Wed, 15 Jun 2016 at 08:48 Cassa L <lcas...@gmail.com> wrote: > Hi, > I would appreciate any clue on this. It has become a bottleneck for our > spark job. > > On Mon, Jun 13, 2016 at 2:56 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 >> >> > -- ———————— Ben Slater Chief Product Officer Instaclustr: Cassandra + Spark - Managed | Consulting | Support +61 437 929 798
