I appreciate the feedback, doing it on the client side is interesting and I 
will start looking into that.  To be clear, here are the symptoms I am seeing:


 *   A node will start showing high load and the CMS collection time jumps to 
100+ ms/sec (per new is also up)
 *   If I run nodetool tpstats, I see a high number of items in the Pending 
phase for ReadStage.  Other items mostly appear near empty.  In addition, I see 
dropped reads.
 *   If I shutdown the effected node, two other nodes show increased load.  I 
am at RF=3 so this would again suggest slow reads against a single row

Does it sound correct that my best course of action is to investigate a large 
row?  If it were a small row being called repeatedly, I assume OS/key cache 
would make that a VERY fast operation.

Thanks

From: DuyHai Doan <doanduy...@gmail.com<mailto:doanduy...@gmail.com>>
Reply-To: "user@cassandra.apache.org<mailto:user@cassandra.apache.org>" 
<user@cassandra.apache.org<mailto:user@cassandra.apache.org>>
Date: Thursday, July 24, 2014 at 3:53 PM
To: "user@cassandra.apache.org<mailto:user@cassandra.apache.org>" 
<user@cassandra.apache.org<mailto:user@cassandra.apache.org>>
Subject: Re: Hot, large row

Your extract of cfhistograms show that there are no particular "wide rows". The 
widest has 61214 cells which is big but not that huge to be really a concern.

Turning on trace probabilty only tells give you some "hints" about what kind of 
queries are done, it does not give the exact partition key nor other statement 
values, especially when you are using prepared statements ...


"I am considering reducing read_request_timeout_in_ms: 5000 in cassandra.yaml 
so that it reduces the impact when this occurs." --> Don't do that, you'll only 
sweep dust under the carpet. Find the real issue and fix it instead of changing 
parameter to hide it.

One solution would be on client side, to activate some logging to show the CQL3 
statements the application is issuing that may overload the server.  I know 
that's better said than done but I don't have any other idea for the moment

-------- Shameless self-promotion ------

To support this kind of live prod debugging & investigation that I add a new 
dynamic query logging feature in Achilles: 
https://github.com/doanduyhai/Achilles/wiki/Statements-Logging-and-Tracing#dynamic-statements-logging

Once you hit the issue, this kind of feature may save your day...






On Thu, Jul 24, 2014 at 9:22 PM, Keith Wright 
<kwri...@nanigans.com<mailto:kwri...@nanigans.com>> wrote:
I can see from cfhistograms that I do have some wide rows (see below).  I set 
trace probability as you suggested but the output doesn’t appear to tell me 
what row was actually read unless I missed something.  I just see executing 
prepared statement.   Any ideas how I can find the row in question?

I am considering reducing read_request_timeout_in_ms: 5000 in cassandra.yaml so 
that it reduces the impact when this occurs.

Any help in identifying my issue would be GREATLY appreciated


Cell Count per Partition

    1 cells: 50449950

    2 cells: 14281828

    3 cells: 8093366

    4 cells: 5029200

    5 cells: 3103023<tel:3103023>

    6 cells: 3059903

    7 cells: 1903018

    8 cells: 1509297

   10 cells: 2420359

   12 cells: 1624895

   14 cells: 1171678

   17 cells: 1289391

   20 cells: 909777

   24 cells: 852081

   29 cells: 722925

   35 cells: 587067

   42 cells: 459473

   50 cells: 358744

   60 cells: 304146

   72 cells: 244682

   86 cells: 191045

  103 cells: 155337

  124 cells: 127061

  149 cells: 98913

  179 cells: 77454

  215 cells: 59849

  258 cells: 46117

  310 cells: 35321

  372 cells: 26319

  446 cells: 19379

  535 cells: 13783

  642 cells: 9993

  770 cells: 6973

  924 cells: 4713

 1109 cells: 3229

 1331 cells: 2062

 1597 cells: 1338

 1916 cells: 773

 2299 cells: 495

 2759 cells: 268

 3311 cells: 150

 3973 cells: 100

 4768 cells: 42

 5722 cells: 24

 6866 cells: 12

 8239 cells: 9

 9887 cells: 3

11864 cells: 0

14237 cells: 5

17084 cells: 1

20501 cells: 0

24601 cells: 2

29521 cells: 0

35425 cells: 0

42510 cells: 0

51012 cells: 0

61214 cells: 2

From: DuyHai Doan <doanduy...@gmail.com<mailto:doanduy...@gmail.com>>
Reply-To: "user@cassandra.apache.org<mailto:user@cassandra.apache.org>" 
<user@cassandra.apache.org<mailto:user@cassandra.apache.org>>
Date: Thursday, July 24, 2014 at 3:01 PM
To: "user@cassandra.apache.org<mailto:user@cassandra.apache.org>" 
<user@cassandra.apache.org<mailto:user@cassandra.apache.org>>
Subject: Re: Hot, large row

"How can I detect wide rows?" -->

nodetool cfhistograms <keyspace> <suspected column family>

Look at column "Column count" (last column) and identify a line in this column 
with very high value of "Offset". In a well designed application you should 
have a gaussian distribution where 80% of your row have a similar number of 
columns.

"Anyone know what debug level I can set so that I can see what reads the hot 
node is handling?  " -->

"nodetool settraceprobability <value>",  where value is a small number (0.001) 
on the node where you encounter the issue. Activate the tracing for a while (5 
mins) and deactivate it (value = 0). Then look into system_traces tables 
"events" & "sessions". It may help or not since the tracing is done once every 
1000.

"Any way to get the server to blacklist these wide rows automatically?" --> No


On Thu, Jul 24, 2014 at 8:48 PM, Keith Wright 
<kwri...@nanigans.com<mailto:kwri...@nanigans.com>> wrote:
Hi all,

   We are seeing an issue where basically daily one of our nodes spikes in load 
and is churning in CMS heap pressure.  It appears that reads are backing up and 
my guess is that our application is reading a large row repeatedly.  Our write 
structure can lead itself to wide rows very infrequently (<0.001%) and we do 
our best to detect and delete them but obviously we’re missing a case.  Hoping 
for assistance on the following questions:

 *   How can I detect wide rows?
 *   Anyone know what debug level I can set so that I can see what reads the 
hot node is handling?  I’m hoping to see the “bad” row
 *   Any way to get the server to blacklist these wide rows automatically?

We’re using C* 2.0.6 with Vnodes.

Thanks


Reply via email to