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From Wei Zhu <>
Subject Re: read request distribution
Date Mon, 12 Nov 2012 20:29:44 GMT
Thanks Tyler for the information. From the online document:

QUORUM Returns the record with the most recent timestamp after
a quorum of replicas has responded. 

It's hard to know that digest query will be sent to *one* other replica. When the node gets
the request, does it become the coordinator since all the nodes have all the data in this
setting? Or it will send the query to the "primary" node (the node who is in charge of token)
and let that node be the coordinator? I would guess the latter is the case, otherwise it can't
explain why the third node is always slower than the other two given the fact it's in charge
of the "wider" columns than the other two.


 From: Tyler Hobbs <>
To:; Wei Zhu <> 
Sent: Saturday, November 10, 2012 3:15 PM
Subject: Re: read request distribution

When you read at quorum, a normal read query will be sent to one replica (possibly the same
node that's coordinating) and a digest query will be sent to *one* other replica, not both. 
Which replicas get picked for these is determined by the dynamic snitch, which will favor
replicas that are responding with the lowest latency.  That's why you'll see more queries
going to replicas with lower latencies.

The Read Count number in nodetool cfstats is for local reads, not coordination of a read request.

On Fri, Nov 9, 2012 at 8:16 PM, Wei Zhu <> wrote:

I think the row whose row key falls into the token range of the high latency node is likely
to have more columns than the other nodes.  I have three nodes with RF = 3, so all the nodes
have all the data. And CL = Quorum, meaning each request is sent to all three nodes and response
is sent back to client when two of them respond. What exactly does "Read Count" from "nodetool
cfstats" mean then, should it be the same across all the nodes? I checked with Hector, it
uses Round Robin LB strategy. And I also tested writes, and the writes are distributed across
the cluster evenly. Below is the output from nodetool. Any one has a clue what might happened?
>Read Count: 318679
>Read Latency: 72.47641436367003 ms.
>Write Count: 158680
>Write Latency: 0.07918750315099571 ms.
>Node 2:
>Read Count: 251079 Read Latency: 86.91948475579399 ms. Write Count: 158450 Write Latency:
0.1744694540864626 ms.
>Node 3:
>Read Count: 149876 Read Latency: 168.14125553123915 ms. Write Count: 157896 Write Latency:
0.06468631250949992 ms.
> nodetool ring
>Address         DC          Rack        Status State   Load        
   Effective-Ownership Token                                       
>      datacenter1 rack1       Up     Normal  35.85 GB        100.00%
>      datacenter1 rack1       Up     Normal  35.86 GB        100.00%
>      datacenter1 rack1       Up     Normal  35.85 GB        100.00%
>Keyspace: benchmark:
>  Replication Strategy: org.apache.cassandra.locator.SimpleStrategy
>  Durable Writes: true
>    Options: [replication_factor:3]
>I am really confused by the Read Count number from nodetool cfstats
>Really appreciate any hints.-Wei
> From: Wei Zhu <>
>To: Cassandr usergroup <> 
>Sent: Thursday, November 8, 2012 9:37 PM
>Subject: read request distribution
>Hi All,
>I am doing a benchmark on a Cassandra. I have a three node cluster with RF=3. I generated
6M rows with sequence  number from 1 to 6m, so the rows should be evenly distributed among
the three nodes disregarding the replicates. 
>I am doing a benchmark with read only requests, I generate read request for randomly generated
keys from 1 to 6M. Oddly, nodetool cfstats, reports that one node has only half the requests
as the other one and the third node sits in the middle. So the ratio is like 2:3:4. The node
with the most read requests actually has the smallest latency and the one with the least read
requests reports the largest latency. The difference is pretty big, the fastest is almost
double the slowest.
>All three nodes have the exactly the same hardware and the data size on each node are
the same since the RF is three and all of them have the complete data. I am using Hector as
client and the random read request are in millions. I can't think of a reasonable explanation. 
Can someone please shed some lights?

Tyler Hobbs
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