This extension transforms DuckDB instances into tiny multi-player HTTP OLAP API services.
Supports Authentication (Basic Auth or X-Token) and includes the play SQL user interface.
The extension goal is to replace the functionality currently offered by quackpipe
- Turn any DuckDB instance into an HTTP OLAP API Server
- Use the embedded Play User Interface to query and visualize data
- Pair with chsql extension for ClickHouse flavoured SQL
- Work with local and remote datasets including MotherDuck ๐ค
- 100% Opensource, ready to use and extend by the Community!
httpserve_start(host, port, auth)
: starts the server using provided parametershttpserve_stop()
: stops the server thread
๐ Run DuckDB in -readonly
mode for enhanced security
๐ฆ Installation
INSTALL httpserver FROM community;
LOAD httpserver;
Start the HTTP server providing the host
, port
and auth
parameters.
- If you want no authentication, just pass an empty string as parameter.
- If you want the API run in foreground set
DUCKDB_HTTPSERVER_FOREGROUND=1
D SELECT httpserve_start('localhost', 9999, 'user:pass');
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ httpserve_start('0.0.0.0', 9999, 'user:pass') โ
โ varchar โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ HTTP server started on 0.0.0.0:9999 โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
curl -X POST -d "SELECT 'hello', version()" "http://user:pass@localhost:9999/"
SELECT httpserve_start('localhost', 9999, 'supersecretkey');
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ httpserve_start('0.0.0.0', 9999, 'secretkey') โ
โ varchar โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ HTTP server started on 0.0.0.0:9999 โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Query your endpoint using the X-API-Key
token:
curl -X POST --header "X-API-Key: secretkey" -d "SELECT 'hello', version()" "http://localhost:9999/"
You can perform the same action from DuckDB using HTTP extra_http_headers
:
D CREATE SECRET extra_http_headers (
TYPE HTTP,
EXTRA_HTTP_HEADERS MAP{
'X-API-Key': 'secret'
}
);
D SELECT * FROM duck_flock('SELECT version()', ['http://localhost:9999']);
โโโโโโโโโโโโโโโ
โ "version"() โ
โ varchar โ
โโโโโโโโโโโโโโโค
โ v1.1.1 โ
โโโโโโโโโโโโโโโ
Browse to your endpoint and use the built-in quackplay interface (experimental)
Query your API endpoint using curl GET/POST requests
curl -X POST -d "SELECT 'hello', version()" "http://localhost:9999/?default_format=JSONCompact
{
"meta": [
{
"name": "'hello'",
"type": "String"
},
{
"name": "\"version\"()",
"type": "String"
}
],
"data": [
[
"hello",
"v1.1.1"
]
],
"rows": 1,
"statistics": {
"elapsed": 0.01,
"rows_read": 1,
"bytes_read": 0
}
}
You can now have DuckDB instances query each other and... themselves!
D LOAD json;
D LOAD httpfs;
D SELECT httpserve_start('0.0.0.0', 9999);
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ httpserve_start('0.0.0.0', 9999) โ
โ varchar โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ HTTP server started on 0.0.0.0:9999 โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
D SELECT * FROM read_json_auto('http://localhost:9999/?q=SELECT version()');
โโโโโโโโโโโโโโโ
โ "version"() โ
โ varchar โ
โโโโโโโโโโโโโโโค
โ v1.1.1 โ
โโโโโโโโโโโโโโโ
Check out this flocking macro from fellow Italo-Amsterdammer @carlopi @ DuckDB Labs
- a DuckDB CLI, running httpserver extension
- a DuckDB from Python, running httpserver extension
- a DuckDB from the Web, querying all 3 DuckDB at the same time
Endpoint | Methods | Description |
---|---|---|
/ |
GET, POST | Query API endpoint |
/ping |
GET | Health check endpoint |
Methods: GET
, POST
Parameters:
Parameter | Description | Supported Values |
---|---|---|
default_format |
Specifies the output format | JSONEachRow , JSONCompact |
query |
The DuckDB SQL query to execute | Any valid DuckDB SQL query |
- Ensure that your queries are properly formatted and escaped when sending them as part of the request.
- The root endpoint (
/
) supports both GET and POST methods, but POST is recommended for complex queries or when the query length exceeds URL length limitations. - Always specify the
default_format
parameter to ensure consistent output formatting.
Footnotes
-
DuckDB ยฎ is a trademark of DuckDB Foundation. All rights reserved by their respective owners. 1 โฉ
-
ClickHouse ยฎ is a trademark of ClickHouse Inc. No direct affiliation or endorsement. 2 โฉ
-
Released under the MIT license. See LICENSE for details. All rights reserved by their respective owners. 3 โฉ