<dependency>
<groupId>juxt</groupId>
<artifactId>crux-sql</artifactId>
<version>20.09-1.11.0-alpha</version>
</dependency>
SQL adapter for Crux making use of Apache Calcite.
crux-sql
runs in-process as part of the Crux node as a Crux module.
First, add the crux-sql
dependency to your project:
<dependency>
<groupId>juxt</groupId>
<artifactId>crux-sql</artifactId>
<version>20.09-1.11.0-alpha</version>
</dependency>
juxt/crux-sql {:mvn/version "20.09-1.11.0-alpha"}
You can either obtain a JDBC connection in-process, or start a server port and connect through a number of external SQL tools.
To get a connection in-process, call crux.calcite/jdbc-connection
, passing it a Crux node:
(require '[crux.calcite])
(with-open [conn (crux.calcite/jdbc-connection node)]
;; ...
)
We use Apache Avatica to open up a SQL server port.
Add the following to your node configuration:
{
...
"crux.calcite/server": {
"port": 1501
}
}
{...
:crux.calcite/server {:port 1501}}
port
(int, default 1501)
scan-only?
(boolean, default false): only use table scans in queries
Add to the Avatica SQL driver to your project and use the connection string:
jdbc:avatica:remote:url=http://<server-hostname>:1501;serialization=protobuf;timeZone=UTC
You can then connect using the Avatica JDBC driver, for example:
(java.sql.DriverManager/getConnection "jdbc:avatica:remote:url=http://localhost:1501;serialization=protobuf;timeZone=UTC")
coursier launch sqlline:sqlline:1.9.0 org.apache.calcite.avatica:avatica-core:1.16.0 -M sqlline.SqlLine -- -n crux -p crux -u "jdbc:avatica:remote:url=http://localhost:1501;serialization=protobuf;timeZone=UTC" -d org.apache.calcite.avatica.remote.Driver
To define a table, transact a document into Crux:
{:crux.db/id :crux.sql.schema/person
:crux.sql.table/name "person"
:crux.sql.table/query '{:find [id name homeworld]
:where [[id :name name]
[id :homeworld homeworld]]}
:crux.sql.table/columns '{id :keyword name :varchar homeworld :varchar}}
A SQL table is a schema that maps Crux attributes to SQL table columns.
Any document in Crux that matches the crux.sql.table/query
in the schema document is eligible to be returned via the SQL query.
SQL table column names are mapped from the symbols used by the :crux.sql.table/query
query backing the table and referred to by :crux.sql.table/columns
.
Note that in the case where symbols are prefixed with ?
, then ?
is stripped for the SQL column name.
For example with the following Crux transaction operation:
[:crux.tx/put {:crux.db/id :ivan :name "Ivan" :homeworld "Earth"}]
Get a connection and query as such:
(require '[crux.calcite])
(defn query [node q]
(with-open [conn (crux.calcite/jdbc-connection node)]
(let [stmt (.createStatement conn)]
(->> q (.executeQuery stmt) resultset-seq))))
So that:
(query "SELECT PERSON.NAME FROM PERSON")
Returns:
[{:name "Ivan"}]
Note that using JDBC PreparedStatements for queries will be faster.
To query using VALID TIME
:
VALIDTIME ('2016-12-01T10:13:30Z')
SELECT * FROM PERSON
Use TRANSACTION TIME
also for query consistency:
VALIDTIME ('2016-12-01T10:13:30Z')
TRANSACTIONTIME ('2016-12-01T10:13:30Z')
SELECT * FROM PERSON
Both VALIDTIME
and TRANSACTIONTIME
take an RFC 3339-like timestamp string, which is compatible with ISO-8601.
Examples of RFC 3339-like supported syntax:
VALIDTIME ('2016-12-01')
VALIDTIME ('2016')
We support a subset of java.sql.Types
:
:bigint
:boolean
:double
`:decimal
:float
:timestamp
:varchar
:keyword
:uuid
Note that bigint
maps to Long
.
Keyword value are returned as Strings in results.
If you need to filter against a keyword column, then you can use the KEYWORD
SQL function, for example:
SELECT ID,NAME FROM PERSON WHERE ID = KEYWORD('human/ivan')
Same for UUID:
SELECT NAME FROM PERSON WHERE AUUID = UUID('e7ae4200-d619-4c20-9d64-87d1f90d0fd2')
Note that currently we do not support UUIDs and Keywords being set inside of prepared statements.
We support a range of calculations (ceil, lower, upper, concat), but we do not support all.
Projections, filters and inner-joins are handled by Crux. Left outer joins and aggregations are handled by Calcite in memory.
Can you improve this documentation? These fine people already did:
James Henderson & Daniel MasonEdit on GitHub
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