100,000 rows is pretty small. Import your data to your cluster, do a nodetool
flush on each node, then you can see how much disk space is actually used.
There are different compression tools available to you when you create the
table. It also matters if the rows are in separate partitions or you have many
rows per partition. In one exercise I have done, individual partitions can
cause the data to expand from 0.3 MB (with many rows per partition) to 20 MB
(one row per partition) – all from the same data set. Your compaction settings
can also change the size of data on disk.
Bottom line – precise math requires more parameters than you have given. Actual
experimentation is easier.
Sean Durity
From: lampahome
Sent: Wednesday, January 1, 2020 8:33 PM
To: user@cassandra.apache.org
Subject: [EXTERNAL] Re: How bottom of cassandra save data efficiently?
Dipan Shah mailto:dipan@hotmail.com>> 於 2019年12月31日
週二 下午5:34寫道：
Hello lampahome,
Data will be compressed but you will also have to account for the replication
factor that you will be using.
Thanks,
Dipan Shah
The key factor about efficiency is replication factor. Are there other factors?
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