JDBCX extends JDBC with enhanced data format and compression support, object mapping, advanced type conversion, and multi-language query capabilities. It simplifies federated queries through dynamic embedding and offers a remote bridge for seamless multi-source connectivity.
Getting started with JDBCX is easy. Use it as a standard JDBC driver, a standalone bridge server, or combine both functionalities.
# Using the standard JDBC driver
$ docker run --rm -it jdbcx/jdbcx 'jdbc:duckdb:' 'select 2 as num'
num
2
# Using JDBCX as a drop-in replacement (with extensions)
$ docker run --rm -it jdbcx/jdbcx 'jdbcx:duckdb:' 'select {{script:1+1}} as num'
num
2
$ docker run --rm -it jdbcx/jdbcx 'jdbcx:' "{{ db.ch-[ap]*: select '\${_.id}' db, version() ver }}"
db ver
ch-play 25.5.1.664
ch-altinity 25.3.3.42
# Using JDBCX as a bridge server (HTTP API for data access)
$ docker run --rm -d --name bridge -p8080:8080 jdbcx/jdbcx:full server
$ curl -s -d 'select 2 as num' 'http://localhost:8080/query'
num
2
$ curl -s -d '{{ db.duckdb-local: select 2 as num }}' 'http://localhost:8080/query'
num
2
# Combining JDBCX driver features with the bridge server for federated querying
$ curl -s -d "select * from {{ table.mcp.everything(target=prompt) }}
where name like 'simple%'" 'http://localhost:8080/query'
name,description,arguments
simple_prompt,A prompt without arguments,
$ curl -s -d 'select c.name
from {{ table.db.ch-play: show databases }} c
left outer join {{ table.db.ch-altinity: show databases }} a
on c.name = a.name
where a.name is null' 'http://localhost:8080/query'
name
blogs
git_clickhouse
mgbench
Feature | Examples |
Chained query |
-- ask a question(check out ~/.jdbcx/web/baidu-*.properties for details)
{{ web.baidu-llm(pre.query=web.baidu-auth): who are you? }}
-- get messages of a chat(see ~/.jdbcx/web/m365-*.properties for details)
{{ web.m365-graph(
pre.query=web.m365-auth,
result.json.path=value,
m365.api="chats/<URL encoded chat ID>/messages?$top=50")
}} |
Dynamic query |
-- https://clickhouse.com/docs/en/sql-reference/aggregate-functions/parametric-functions#retention
{% var(delimiter=;): dates=['2020-01-01','2020-01-02','2020-01-03'] %}
SELECT
uid,
retention({{ script: "date='" + ${dates}.join("',date='") + "'" }}) AS r
FROM retention_test
WHERE date IN ({{ script: "'" + ${dates}.join("','") + "'" }})
GROUP BY uid
ORDER BY uid ASC |
Multi-language query |
{% var: num=3 %}
select {{ script: ${num} - 2 }} one,
{{ shell: echo 2 }} two,
{{ db.ch-play: select ${num} }} three |
Query substitution |
{% var: func=toYear, sdate='2023-01-01' %}
SELECT ${func}(create_date) AS d, count(1) AS c
FROM my_table
WHERE create_date >= ${sdate}
GROUP BY d |
Scripting |
-- benchmark on ClickHouse
select a[1] `CPU%`, a[2] `MEM(KB)`, a[3] `Elapsed Time(s)`,
a[4] `CPU Time(s)`, a[5] `User Time(s)`, a[6] `Switches`,
a[7] `Waits`, a[8] `File Inputs`, a[9] `File Outputs`, a[10] `Swaps`
from (
select splitByChar(',', '{{ shell.myserver(cli.stderr.redirect=true):
/bin/time -f '%P,%M,%e,%S,%U,%c,%w,%I,%O,%W' du -sh . > /dev/null
}}') a
)
-- runtime inspection
{{ script: helper.table(
// fields
['connection_class_loader', 'current_class_loader', 'context_class_loader'],
// rows
[
[
Packages.io.github.jdbcx.WrappedDriver.__javaObject__.getClassLoader(),
helper.getClass().getClassLoader(),
java.lang.Thread.currentThread().getContextClassLoader()
]
]
)
}} |
# | Issue | Workaround |
---|---|---|
1 | Query cancellation is not fully supported | avoid query like {{ shell: top }} |
2 | Connection pooling is not supported | - |
3 | Nested query is not supported | - |
4 | MCP extension requires JDK 17+ | - |
- JDK: openjdk version "17.0.7" 2023-04-18
- Tool: Apache JMeter 5.6.2
- Database: ClickHouse 22.8
- JDBC Driver: clickhouse-jdbc v0.4.6
- Concurrent Users: 20
- Loop Count: 1000
- Connection Pool:
- Size: 30
- Init SQL and Validation Query are identical
Connection | Init SQL | Test Query | Avg Response Time (ms) | Max Response Time (ms) | Throughput (qps) |
---|---|---|---|---|---|
jdbc:ch |
select * from system.numbers limit 1 | select * from system.numbers limit 50000 | 69 | 815 | 279.87 |
jdbcx:ch |
select * from system.numbers limit 1 | select * from system.numbers limit 50000 | 71 | 891 | 272.99 |
jdbcx:script:ch |
'select * from system.numbers limit 1' | 'select * from system.numbers limit ' + 50000 | 72 | 1251 | 270.65 |
jdbcx:shell:ch |
echo 'select * from system.numbers limit 1' | echo 'select * from system.numbers limit 50000' | 91 | 650 | 214.45 |
jdbcx:prql:ch |
from `system.numbers` | take 1 | from `system.numbers` | take 50000 | 106 | 1103 | 184.27 |