My mental model of Clojure transducers

• Metabase

  67 36,784 10.0 Clojure

  The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

  

It seems folks want a working example. Here's one in prod:

Metabase is a BI tool, backend written mostly in Clojure. Like basically all BI tools they have this intermediate representation language thing so you write the same thing in "MBQL (metabase query language)" and it theoretically becomes same query in like, Postgres and Mongo and whatever. End user does not usually write MBQL, it's a service for the frontend querybuilding UI thing and lots of other frontend UI stuff mainly in usage.

Whole processing from MBQL -> your SQL or whatever is done via a buncha big-ass transducers. Metabase is not materially faster than other BI tools (because all the other BI tools do something vaguely similar in their langs) but it's pretty comparable speed and the whole thing was materially written by like 5 peeps

https://github.com/metabase/metabase/blob/master/src/metabas...

(nb: I used to work for Metabase but currently do not. but open core is open core)

• injest

  7 171 0.0 Clojure

  +>, +>>, x>>, =>>: Auto-transducifying, auto-parallelizing path thread macros

joinr pointed out this lib to me and it seems to make using them more ergonomic (if you're into pipelining)

https://github.com/johnmn3/injest

However writing your own indeed doesn't sound fun :))

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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