Small library to facilitate the implementation of calcite adapters in clojure.
Calcite allows you to expose any structured data as a SQL table and use SQL to query that data (relational algebra).
It implements org.apache.calcite.schema.SchemaFactory
and delegates to a Clojure function.
See https://calcite.apache.org/javadocAggregate/org/apache/calcite/schema/SchemaFactory.html and https://calcite.apache.org/docs/tutorial.html for more information.
Small library used as a bridge from calcite to clojure: https://github.com/ieugen/clojure-training/blob/main/csv-clojure/calcite-clj/src/main/java/ro.ieugen.calcite.clj/SchemaFactory.java .
The library is published on Clojars at https://clojars.org/io.github.ieugen/calcite-clj . You can find there instructions on how to add the library to your tools.deps, Maven and gradle, etc.
See examples/simple
for a Clojure implementataion that expose Clojure vectors and interogates them with SQL.
With the above code I was able to call code like this:
;; Code bellow is REDACTED for brevity
(def emps {:name "EMPS"
:data [[(int 100) "Fred" (int 10) nil nil (int 30) (int 25) true false "1996-08-03"]
[(int 110) "Eric" (int 20) "M" "San Francisco" (int 3) (int 80) nil false "2001-01-01"]
[(int 110) "John" (int 40) "M" "Vancouver" (int 2) nil false true "2002-05-03"]
[(int 120) "Wilma" (int 20) "F" nil (int 1) (int 5) nil true "2005-09-07"]
[(int 130) "Alice" (int 40) "F" "Vancouver" (int 2) nil false true "2007-01-01"]]})
;; In the main entry point in the our application,
;; we load Calcite JDBC driver and instruct it to load our model.json file.
;; The model.json instructs Calcite to load `ro.ieugen.calcite.clj.SchemaFactory .
;; The SchemaFactory implementation will use the operand value for "clojure-clj.schema-factory"
;; to know which clojure function to delegate to (i.e. "calcite-clj.simple/my-schema")
;; The function will build the DB schema with tables, views etc.
;; Calcite will use that schema when parsing and resolving SQL queries.
(let [db {:jdbcUrl "jdbc:calcite:model=resources/model.json"
:user "admin"
:password "admin"}
ds (jdbc/get-datasource db)]
(jdbc/execute! ds ["select * from emps where age is null or age >= 40"])))
and get back SQL results that look like this:
[#:EMPS{:EMPID 3,
:GENDER "M",
:NAME "Eric",
:MANAGER false,
:EMPNO 110,
:CITY "San Francisco",
:JOINDATE "2001-01-01",
:AGE 80,
:DEPTNO 20,
:SLACKER nil}
#:EMPS{:EMPID 2,
:GENDER "M",
:NAME "John",
:MANAGER true,
:EMPNO 110,
:CITY "Vancouver",
:JOINDATE "2002-05-03",
:AGE nil,
:DEPTNO 40,
:SLACKER false}
#:EMPS{:EMPID 2,
:GENDER "F",
:NAME "Alice",
:MANAGER true,
:EMPNO 130,
:CITY "Vancouver",
:JOINDATE "2007-01-01",
:AGE nil,
:DEPTNO 40,
:SLACKER false}]
Part of the magic is in model.json file.
It’s important to set the "factory" property to "ro.ieugen.calcite.clj.SchemaFactory" and also set an operand "clojure-clj.schema-factory" with value "calcite-clj.simple/my-schema" . Use your own schema function there.
In our case, clojure-clj.schema-factory
property is a reference to the Clojure namespace (calcite-clj.simple)
and function (my-schema) to call for generating the org.apache.calcite.schema.Schema
.
The schema factory is generic and if there is interest I would like to contribute it upstream. It allows the use of Clojure functions to be used as Schema factories thus creating a bridge to Clojure in a seamless way.
Full model.json bellow:
{
"version": "1.0",
"defaultSchema": "SALES",
"schemas": [
{
"name": "SALES",
"type": "custom",
"factory": "ro.ieugen.calcite.clj.SchemaFactory",
"operand": {
"clojure-clj.schema-factory": "calcite-clj.simple/my-schema",
}
}
]
}
# Build with tools.build
clj -T:build ci
# Deploy to Clojars with CLOJARS_PASSWORD=xxx CLOJARS_USERNAME=yy
clj -T:build deploy
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