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From "Durity, Sean R" <>
Subject RE: Issue with Cassandra consistency in results
Date Wed, 29 Mar 2017 18:19:31 GMT
There have been many instances of supposed inconsistency noted on this list if nodes do not
have the same system time. Make sure you have a matching clock on all nodes (ntp or similar).

Sean Durity

From: Shubham Jaju []
Sent: Tuesday, March 21, 2017 9:58 PM
Subject: Re: Issue with Cassandra consistency in results


This issue used to appear with me . What I figured in my case was
  1. I had 3 machines
  2. Inserted the data with ONE consistency (i.e there is no guarantee that data was propagated
to remaining nodes , cassandra is supposed to take care of that).
  3. Later I figured also that one of machines has different hard disk space compared to other
two (less and data size was more ) . i.e it was not able to contain whole set of data.

So I think in above cases ( 2,3 )if you will query you will get different results as nodes
are not in sync.
nodetool repair should solve this problem. But it takes more time if you have more data.
Check if this solves you problem.


Shubham Jaju

On Wed, Mar 22, 2017 at 12:23 AM, srinivasarao daruna <<>>
The same issue is appearing in CQL Shell as well.

1) Entered into cqlsh
3) Ran a select * with partition key in where cluase.

First result gave 0 records,
and Next records gave results.

Its really freaking out us at the moment. And nothing in debug.log or system.log.

Thank You,

On Fri, Mar 17, 2017 at 2:33 AM, daemeon reiydelle <<>>
The prep is needed. If I recall correctly it must remain in cache for the query to complete.
I don't have the docs to dig out the yaml parm to adjust query cache. I had run into the problem
stress testing a smallish cluster with many queries at once.

Do you have a sense of how many distinct queries are hitting the cluster at peak?

If many clients, how do you balance the connection load or do you always hit the same node?

sent from my mobile
Daemeon Reiydelle
skype daemeon.c.m.reiydelle
USA 415.501.0198

On Mar 16, 2017 3:25 PM, "srinivasarao daruna" <<>>
Hi reiydelle,

I cannot confirm the range as the volume of data is huge and the query frequency is also high.
If the cache is the cause of issue, can we increase cache size or is there solution to avoid
dropped prep statements.?

Thank You,

On Thu, Mar 16, 2017 at 2:13 PM, daemeon reiydelle <<>>
The discard due to oom is causing the zero returned. I would guess a cache miss problem of
some sort, but not sure. Are you using row, index, etc. caches? Are you seeing the failed
prep statement on random nodes (duh, nodes that have the relevant data ranges)?


Daemeon C.M. Reiydelle
USA (+1) 415.501.0198<tel:+1%20415-501-0198>
London (+44) (0) 20 8144 9872<tel:+44%2020%208144%209872>

On Thu, Mar 16, 2017 at 10:56 AM, Ryan Svihla <<>>
Depends actually, restore just restores what's there, so if only one node had a copy of the
data then only one node had a copy of the data meaning quorum will still be wrong sometimes.

On Thu, Mar 16, 2017 at 1:53 PM, Arvydas Jonusonis <<>>
If the data was written at ONE, consistency is not guaranteed. ..but considering you just
restored the cluster, there's a good chance something else is off.

On Thu, Mar 16, 2017 at 18:19 srinivasarao daruna <<>>
Want to make read and write QUORUM as well.

On Mar 16, 2017 1:09 PM, "Ryan Svihla" <<>>
        Replication factor is 3, and write consistency is ONE and read consistency is QUORUM.

That combination is not gonna work well:

Write succeeds to NODE A but fails on node B,C

Read goes to NODE B, C

If you can tolerate some temporary inaccuracy you can use QUORUM but may still have the situation

Write succeeds on node A a timestamp 1, B succeeds at timestamp 2
Read succeeds on node B and C at timestamp 1

If you need fully race condition free counts I'm afraid you need to use SERIAL or LOCAL_SERIAL
(for in DC only accuracy)

On Thu, Mar 16, 2017 at 1:04 PM, srinivasarao daruna <<>>
Replication strategy is SimpleReplicationStrategy.

Smith is : EC2 snitch. As we deployed cluster on EC2 instances.

I was worried that CL=ALL have more read latency and read failures. But won't rule out trying

Should I switch select count (*) to select partition_key column? Would that be of any help.?

Thank you

On Mar 16, 2017 12:46 PM, "Arvydas Jonusonis" <<>>
What are your replication strategy and snitch settings?

Have you tried doing a read at CL=ALL? If it's an actual inconsistency issue (missing data),
this should cause the correct results to be returned. You'll need to run a repair to fix the

If all the data is actually there, you might have one or several nodes that aren't identifying
the correct replicas.


On Thu, Mar 16, 2017 at 5:31 PM, srinivasarao daruna <<>>
Hi Team,

We are struggling with a problem related to cassandra counts, after backup and restore of
the cluster. Aaron Morton has suggested to send this to user list, so some one of the list
will be able to help me.

We are have a rest api to talk to cassandra and one of our query which fetches count is creating
problems for us.

We have done backup and restore and copied all the data to new cluster. We have done nodetool
refresh on the tables, and did the nodetool repair as well.

However, one of our key API call is returning inconsistent results. The result count is 0
in the first call and giving the actual values for later calls. The query frequency is bit
high and failure rate has also raised considerably.

1) The count query has partition keys in it. Didnt see any read timeout or any errors from
api logs.

2) This is how our code of creating session looks.

val poolingOptions = new PoolingOptions
      .setCoreConnectionsPerHost(HostDistance.LOCAL, 4)
      .setMaxConnectionsPerHost(HostDistance.LOCAL, 10)
      .setCoreConnectionsPerHost(HostDistance.REMOTE, 4)
      .setMaxConnectionsPerHost( HostDistance.REMOTE, 10)

val builtCluster = clusterBuilder.withCredentials(username, password)
val cassandraSession = builtCluster.get.connect()

val preparedStatement = cassandraSession.prepare(statement).setConsistencyLevel(ConsistencyLevel.QUORUM)
cassandraSession.execute(preparedStatement.bind(args :_*))

Query: SELECT count(*) FROM table_name WHERE parition_column=? AND text_column_of_clustering_key=?
AND date_column_of_clustering_key<=? AND date_column_of_clustering_key>=?

3) Cluster configuration:

6 Machines: 3 seeds, we are using apache cassandra 3.9 version. Each machine is equipped with
16 Cores and 64 GB Ram.

        Replication factor is 3, and write consistency is ONE and read consistency is QUORUM.

4) cassandra is never down on any machine

5) Using cassandra-driver-core artifact with 3.1.1 version in the api.

6) nodetool tpstats shows no read failures, and no other failures.

7) Do not see any other issues from system.log of cassandra. We just see few warnings as below.

Maximum memory usage reached (512.000MiB), cannot allocate chunk of 1.000MiB
WARN  [ScheduledTasks:1] 2017-03-14 14:58:37,141 - 88 prepared statements
discarded in the last minute because cache limit reached (32 MB)
The first api call returns 0 and the api calls later gives right values.

Please let me know, if any other details needed.
Could you please have a look at this issue once and kindly give me your inputs? This issue
literally broke the confidence on Cassandra from our business team.

Your inputs will be really helpful.

Thank You,


Ryan Svihla


Ryan Svihla


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