Hi,

My goal is to make sure that I understand functionality correctly and that the 
documentation is accurate. 

The question in other words: Is the documentation or the comment in the code 
wrong (or inaccurate).

Hannu

> On 12 Mar 2018, at 13:00, Rahul Singh <rahul.xavier.si...@gmail.com> wrote:
> 
> What’s the goal? How big are your partitions , size in MB and in rows?
> 
> --
> Rahul Singh
> rahul.si...@anant.us
> 
> Anant Corporation
> 
> On Mar 12, 2018, 6:37 AM -0400, Hannu Kröger <hkro...@gmail.com>, wrote:
>> Anyone?
>> 
>>> On 4 Mar 2018, at 20:45, Hannu Kröger <hkro...@gmail.com 
>>> <mailto:hkro...@gmail.com>> wrote:
>>> 
>>> Hello,
>>> 
>>> I am trying to verify and understand fully the functionality of row cache 
>>> in Cassandra.
>>> 
>>> I have been using mainly two different sources for information:
>>> https://github.com/apache/cassandra/blob/0db88242c66d3a7193a9ad836f9a515b3ac7f9fa/src/java/org/apache/cassandra/db/SinglePartitionReadCommand.java#L476
>>>  
>>> <https://github.com/apache/cassandra/blob/0db88242c66d3a7193a9ad836f9a515b3ac7f9fa/src/java/org/apache/cassandra/db/SinglePartitionReadCommand.java#L476>
>>> AND
>>> http://cassandra.apache.org/doc/latest/cql/ddl.html#caching-options 
>>> <http://cassandra.apache.org/doc/latest/cql/ddl.html#caching-options>
>>> 
>>> and based on what I read documentation is not correct. 
>>> 
>>> Documentation says like this:
>>> “rows_per_partition: The amount of rows to cache per partition (“row 
>>> cache”). If an integer n is specified, the first n queried rows of a 
>>> partition will be cached. Other possible options are ALL, to cache all rows 
>>> of a queried partition, or NONE to disable row caching.”
>>> 
>>> The problematic part is "the first n queried rows of a partition will be 
>>> cached”. Shouldn’t it be that the first N rows in a partition will be 
>>> cached? Not first N that are queried?
>>> 
>>> If this is the case, I’m more than happy to create a ticket (and maybe even 
>>> create a patch) for the doc update.
>>> 
>>> BR,
>>> Hannu
>>> 
>> 

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