distributed - Datomic query performance on multiple inputs as fast as on a single input? -


Datomic allows us to have multiple database servers in the same query.

In the form of queries, it seems that it may be almost likely to run queries that add data to many of the dynamic servers, if not the same on a single databank server, it is not fast to join.

Is this the case or how is it a qualitative difference that the query engine works when using multiple sources?

(If there is no one, then we can get around the fact that a data server is all written in, one is known through a transactor,

Edit:

It has been detected, even inside a single data server,:

Community-related data in your sample data Like institutions - often the units you can ask - To increase query performance, there should be a uniform partition A .

Then repeat to me: DATOMI queries almost intensively in servers and efficient (memory, CPU usage, network) A single datamic server?

The data engine of the datacom does not care that underlying index segments Where do they come from, so a query that uses indexes from many different systems, do not impose any penalty against that query That is what is being indexed with a system.

He said, you have to organize your data in such a way that useful features for joining the N system Are there. It may have performance effects, e.g. Choosing a larger value than ordinary unit ID will reduce the amount of data that fits in the cache.

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