Yup. Verified again that this table is being written, read, and replicated to 
just one data center.

________________________________
From: Naik, Ninad
Sent: Monday, October 15, 2018 1:18:43 PM
To: user@cassandra.apache.org
Subject: Re: Cassandra: Inconsistent data on reads (LOCAL_QUORUM)


Let me double check that.

________________________________
From: Jeff Jirsa <jji...@gmail.com>
Sent: Monday, October 15, 2018 11:49:10 AM
To: user@cassandra.apache.org
Subject: Re: Cassandra: Inconsistent data on reads (LOCAL_QUORUM)


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Are you SURE there are no writes to that table coming from another DC?



--
Jeff Jirsa


On Oct 15, 2018, at 5:34 PM, Naik, Ninad 
<ninad.n...@epsilon.com<mailto:ninad.n...@epsilon.com>> wrote:


Thanks Jeff. We're not doing deletes, but I will take a look at this jira.

________________________________
From: Jeff Jirsa <jji...@gmail.com<mailto:jji...@gmail.com>>
Sent: Sunday, October 14, 2018 12:55:17 PM
To: user@cassandra.apache.org<mailto:user@cassandra.apache.org>
Subject: Re: Cassandra: Inconsistent data on reads (LOCAL_QUORUM)


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If this is 2.1 AND you do deletes AND you have a non-zero number of failed 
writes (timeouts), it’s possibly short reads

3.0 fixes this ( https://issues.apache.org/jira/browse/CASSANDRA-12872 ), it 
won’t be backported to 2.1 because it’s a significant change to how reads are 
executed


--
Jeff Jirsa


On Oct 13, 2018, at 7:24 PM, Naik, Ninad 
<ninad.n...@epsilon.com<mailto:ninad.n...@epsilon.com>> wrote:


Thanks Maitrayee. I should have mentioned this as one of the things we 
verified. The clocks on cassandra nodes are in sync.

________________________________
From: maitrayee shah 
<koolja...@yahoo.com.INVALID<mailto:koolja...@yahoo.com.INVALID>>
Sent: Friday, October 12, 2018 6:40:25 PM
To: user@cassandra.apache.org<mailto:user@cassandra.apache.org>
Subject: Re: Cassandra: Inconsistent data on reads (LOCAL_QUORUM)


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caution when clicking links or opening attachments. ]

We have seen inconsistent read if the clock on the nodes are not in sync.


Thank you

Sent from my iPhone

On Oct 12, 2018, at 1:50 PM, Naik, Ninad 
<ninad.n...@epsilon.com<mailto:ninad.n...@epsilon.com>> wrote:


Hello,

We're seeing inconsistent data while doing reads on cassandra. Here are the 
details:

It's is a wide column table. The columns can be added my multiple machines, and 
read by multiple machines. The time between writes and reads are in minutes, 
but sometimes can be in seconds. Writes happen every 2 minutes.

Now, while reading we're seeing the following cases of inconsistent reads:

  *   One column was added. If a read was done after the column was added (20 
secs to 2 minutes after the write), Cassandra returns no data. As if the key 
doesn't exist. If the application retries, it gets the data.
  *   A few columns exist for a row key. And a new column 'n' was added. Again, 
a read happens a few minutes after the write. This time, only the latest column 
'n' is returned. In this case the app doesn't know that the data is incomplete 
so it doesn't retry. If we manually retry, we see all the columns.
  *   A few columns exist for a row key. And a new column 'n' is added. When a 
read happens after the write, all columns but 'n' are returned.

Here's what we've verified:

  *   Both writes and reads are using 'LOCAL_QUORUM' consistency level.
  *   The replication is within local data center. No remote data center is 
involved in the read or write.
  *   During the inconsistent reads, none of the nodes are undergoing GC pauses
  *   There are no errors in cassandra logs
  *   Reads always happen after the writes.

A few other details: Cassandra version: 2.1.9 DataStax java driver version: 
2.1.10.2 Replication Factor: 3

We don't see this problem in lower environments. We have seen this happen once 
or twice last year, but since last few days it's happening quite frequently. On 
an average 2 inconsistent reads every minute.

Here's how the table definition looks like:

CREATE TABLE "MY_TABLE" (
  key text,
  sub_key text,
  value text,
  PRIMARY KEY ((key), sub_key)
) WITH
  bloom_filter_fp_chance=0.010000 AND
  caching='{"keys":"ALL", "rows_per_partition":"NONE"}' AND
  comment='' AND
  dclocal_read_repair_chance=0.100000 AND
  gc_grace_seconds=864000 AND
  read_repair_chance=0.000000 AND
  default_time_to_live=0 AND
  speculative_retry='ALWAYS' AND
  memtable_flush_period_in_ms=0 AND
  compaction={'class': 'SizeTieredCompactionStrategy'} AND
  compression={'sstable_compression': 'LZ4Compressor'};


Please point us in the right direction. Thanks !



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