What replication factor are you using? Even if your writes use CL.ONE,
Cassandra will be attempting writes to the replica nodes in the background.
Are your writes "token aware"? If not, the receiving node has the overhead
of forwarding the request to the node that owns the token for the primary
Dear All,
Now I have a 4 nodes Cassandra cluster, and I want to know the highest
performance of my Cassandra cluster. I write a JAVA client to batch insert
datas into ALL 4 nodes Cassandra, when I start less than 30 subthreads in my
client applications to insert datas into cassandra, it
What version of C* are you using; what JVM version - you showed a partial GC
config but if that is still CMS (not G1) then you are going to have insane GC
pauses...
Depending on C* versions are you using on/off heap memtables and what type
Those are the sorts of issues related to fat nodes;
Good day, everyone!
I'm using 2.7.2 python driver from gentoo portage.
When I use traditional inserts and selects within my program, it works ok. But
when I try to use models, the program fails with an exception.
Here's the minimal program (I'm very new to cassandra, so maybe I'm missing
Dear all,
Thanks for ur reply!
Now I`m using Apache Cassandra 2.1.1 and my JDK is 1.7.0_79, my keyspace
replication factor is 2，and I do enable the "token aware". The GC configuration
is default for such as:
# GC tuning options
JVM_OPTS="$JVM_OPTS -XX:+UseParNewGC"
JVM_OPTS="$JVM_OPTS
If you combine inserts for multiple partition keys in the same batch you
negate most of the effect of token-aware routing. It's best to insert only
rows with the same partition key in a single batch. You also need to set
the partition key for routing for the batch.
Also, RF=2 is not recommended
