Lots of updates to the same rows/columns could theoretically impact read 
performance. One way to help counter that would be to use the 
LeveledCompactionStrategy to keep the table optimized for reads. It could keep 
your nodes busier with compaction – so test it out.


Sean Durity

From: Gábor Auth <auth.ga...@gmail.com>
Sent: Tuesday, November 10, 2020 11:50 AM
To: user@cassandra.apache.org
Subject: [EXTERNAL] Re: Last stored value metadata table

Hi,

On Tue, Nov 10, 2020 at 5:29 PM Durity, Sean R 
<sean_r_dur...@homedepot.com<mailto:sean_r_dur...@homedepot.com>> wrote:
Updates do not create tombstones. Deletes create tombstones. The above scenario 
would not create any tombstones. For a full solution, though, I would probably 
suggest a TTL on the data so that old/unchanged data eventually gets removed 
(if that is desirable). TTLs can create tombstones, but should not be a major 
problem if expired data is relatively infrequent.

Okay, there are no tombstones (I misused the term) but every updated `value` 
are sitting in the memory and on the disk before the next compaction... Does it 
degrade the read performance?

--
Bye,
Auth Gábor (https://iotguru.cloud 
[iotguru.cloud]<https://urldefense.com/v3/__https:/iotguru.cloud__;!!M-nmYVHPHQ!cnmro4EqZM3gNHz8GNmzIFDZ29hTfdoqwoZbnVG07wpOhi2hoTNm7PeAyBGDvj0uEIfFPUA$>)

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