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
porsas
provides tools for precompiling the functions to convert ResultSet
into Clojure values. This enables basically Java-fast JDBC queries while using idiomatic Clojure.
(defprotocol DataMapper
(cache [this])
(query-one [this ^Connection connection sqlvec])
(query [this ^Connection connection sqlvec]))
porsas.core/compile
returns a porsas.core/DataMapper
instance. The following options are available for the compiler:
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.
;; 630ns
(title "java")
(bench! (java-query connection "SELECT * FROM fruit"))
(def mapper (p/compile {:row (p/rs->map)}))
;; 630ns
(title "porsas: compiled & cached query")
(bench! (p/query mapper connection "SELECT * FROM fruit")))
With defaults, a bit slower (non-compiled) mapper is used. Works on all platforms.
;; 1300ns
(title "porsas: cached query")
(bench! (p/query p/default-mapper connection "SELECT * FROM fruit")))
(def mapper (p/compile {:cache nil)}))
;; 1500ns
(title "porsas: dynamic query")
(bench! (p/query mapper 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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