Hi,
Is there a recommended data size for Reads/Writes in Cassandra? I tried
inserting 10 MB objects and the latency I got was pretty high. Also, I was
never able to insert larger objects (say 50 MB) since Cassandra kept
crashing when I tried that.
Here is my experiment setup:
I used two Large VMs in EC2 within the same data-center. Inserts have ALL
consistency (strong consistency). The latencies were as follows:
Data size: 10 MB 1 MB 100 Bytes
Latency: 250ms 50ms 8ms
I've also done the same for two Large VMs across two data-centers. The
latencies were around:
Data size: 10 MB 1 MB 100 Bytes
Latency: 1200ms 800ms 80ms
1) Ain't the 10 MB latency extremely high?
2) Is there a recommended data size to use with Cassandra (e.g., a few bytes
up to 1 MB)?
3) Also, I tried inserting 50 MB data but Cassandra kept crashing. Does
anybody know why? I thought the max data size should be up to 2 GB?
Thanks,
Mohammad
PS. Here is my python code I use to insert into Cassandra. I put my
stopwatch timers around the insert statement:
fh = open(TEST_FILE,'r')
data = str(fh.read())
POOL = ConnectionPool(keyspace, server_list=['localhost:9160'],
timeout=None)
USER = ColumnFamily(POOL, 'User')
USER.insert('Ali', {'data':
data},write_consistency_level=pycassa.cassandra.ttypes.ConsistencyLevel.ALL)
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