Nopea kuin sika pakkasella
Spike to see how fast we can go with Clojure + JDBC. Highly Experimental.
Related dicsussion: https://clojureverse.org/t/next-jdbc-early-access/4091
[metosin/porsas "0.0.1-SNAPSHOT"]
porsas
provides tools for precompiing the functions for converting ResultSet
into EDN
values. This enables basically Java-fast JDBC queries while using idiomatic Clojure.
Query functions take either a plain SQL String or a vector of SQL String and parameters.
;; 630ns
(title "java")
(bench! (java-query connection "SELECT * FROM fruit"))
create-query
return query function, which compiles and memoizes fast Clojure code for each unique SQL query string. It takes the following options:
key | description |
---|---|
:row | Optional function of rs->value or a [[RowCompiler]] to convert rows into values |
:key | Optional function of rs-meta i->key to create key for map-results" |
Note: some RowCompiler
implementations (like p/rs->map
) generate the code at runtime, which might not supported in all platforms like GraalVM.
(def query (p/create-query {:row (p/rs->map)}))
;; 630ns
(title "porsas: compiled & cached query")
(bench! (query connection "SELECT * FROM fruit")))
With defaults, a bit slower (non-compiled) mapper is used. Works on all platforms.
(def query (p/create-query))
;; 1400ns
(title "porsas: cached query")
(bench! (query connection "SELECT * FROM fruit")))
p/query
works just like query
, but doesn't use any cache.
;; 2100ns
(title "porsas: dynamic query")
(bench! (p/query connection "SELECT * FROM fruit"))
At least an order of magnitude faster than clojure.java.jdbc
, see the tests for more details.
Copyright © 2019 Metosin Oy
Distributed under the Eclipse Public License, the same as Clojure.
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