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So you are suggesting that the data be indexed by timestamp and partitioned by month. What value does the partitioning across multiple databases provide here? I would expect the data is already indexed by timestamp. Queries over large time spans will still be slow. Or are you suggesting a MapReduce style approach where different months can be searched in parallel?

amon
– amon

2017-11-19 09:44:49 +00:00
Commented Nov 19, 2017 at 9:44
Queries get slower as the db grows and there will be a maximum size to a single database, either because of limits imposed by the db itself or by volume size restrictions.

Martin Maat
– Martin Maat

2017-11-19 10:16:03 +00:00
Commented Nov 19, 2017 at 10:16

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