Hello!
increase column_index_size_in_kb for rarely index creations, am I correct?
But will it be used in every read request, or column index for queries within a row only?

Best regards, Ilya



-------- Исходное сообщение --------
Тема: Re: [EXTERNAL] Re: Make large partitons lighter on select without changing primary partition formation.
От: Jeff Jirsa
Кому: user@cassandra.apache.org
Копия:


Cassandra-11206 (https://issues.apache.org/jira/browse/CASSANDRA-11206) is in 3.11 and does have a few knobs to make this less painful

You can also increase the column index size from 64kb to something significantly higher to decrease the cost of those reads on the JVM (shifting cost to the disk) - consider 256k or 512k for 100-1000mb partitions.

-- 
Jeff Jirsa


On Feb 13, 2019, at 5:48 AM, Durity, Sean R <sean_r_dur...@homedepot.com> wrote:

Agreed. It’s pretty close to impossible to administrate your way out of a data model that doesn’t play to Cassandra’s strengths. Which is true for other data storage technologies – you need to model the data the way that the engine is designed to work.

 

 

Sean Durity

 

From: DuyHai Doan <doanduy...@gmail.com>
Sent: Wednesday, February 13, 2019 8:08 AM
To: user <user@cassandra.apache.org>
Subject: [EXTERNAL] Re: Make large partitons lighter on select without changing primary partition formation.

 

Plain answer is NO

 

There is a slight hope that the JIRA https://issues.apache.org/jira/browse/CASSANDRA-9754 gets into 4.0 release

 

But right now, there seems to be few interest in this ticket, the last comment 23/Feb/2017 old ...

 

 

On Wed, Feb 13, 2019 at 1:18 PM Vsevolod Filaretov <vsfilare...@gmail.com> wrote:

Hi all,

 

The question.

 

We have Cassandra 3.11.1 with really heavy primary partitions:

cfhistograms 95%% is 130+ mb, 95%% cell count is 3.3mln and higher, 98%% partition size is 220+ mb sometimes partitions are 1+ gb. We have regular problems with node lockdowns leading to read request timeouts under read requests load.

 

Changing primary partition key structure is out of question.

 

Are there any sharding techniques available to dilute partitions at level lower than 'select' requests to make read performance better? Without changing read requests syntax?

 

Thank you all in advance,

Vsevolod Filaretov.




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