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AcoustID Index

Acoustid Index is a "number search engine". It's similar to text search engines, but instead of searching in documents that consist of words, it searches in documents that consist of 32-bit integers.

It's a simple inverted index data structure that doesn't do any kind of processing on the indexed documents. This is useful for searching in Chromaprint audio fingerprints, which are nothing more than 32-bit integer arrays.

Running

Starting server using Docker:

$ docker run -ti -p 6080 ghcr.io/acoustid/acoustid-index

Starting server locally:

$ ./fpi-server
Listening on "127.0.0.1" port 6080

Building

Dependencies

  • C/C++ compiler supporting at least C++17
  • CMake
  • Qt5, at least the QtCore, QtNetwork and QtConcurrent components
  • GoogleTest (optional)

Building the code

cmake --build .

Usage

REST API

The current version of the REST API is limited to adding documents to the index and searching. This because the internal index structures do not support document updates, the index is effectively append-only. In the next major version of acoustid-index, the API will be extended to support updates as well.

Also, the API is designed to support multiple indices. However, in the current version it's limited to just one index, named "main". Multi-index support will be added later as well.

Add document API

Endpoints:

PUT /<index>/_doc/<id>

Body fields:

  • terms: array of 32-bit integers representing the fingerprint to index

Example HTTP request:

PUT /main/_doc/1 HTTP/1.1
Content-Type: application/json

{"terms":[100,200,300]}

Example HTTP response:

HTTP/1.1 200 OK
Content-Type: application/json

{}

Search API

Endpoints:

GET /<index>/_search

Query parameters:

  • query - comma-separated list of 32-bit numbers representing the fingerprint to search for
  • limit - maximum number of results returned, defaults to 100

Example HTTP request:

GET /main/_search?query=100,200,300&limit=10 HTTP/1.1

Example HTTP response:

HTTP/1.1 200 OK
Content-Type: application/json

{"results":[{"id":1,"score":3}]}

Bulk document update API

Endpoints:

POST /<index>/_bulk

Example HTTP request:

POST /main/_bulk HTTP/1.1
Content-Type: application/json

[
  {"upsert": {"id":1, "terms":[100,200,300]}},
  {"upsert": {"id":2, "terms":[500,600,700]}},
]

Example HTTP response:

HTTP/1.1 200 OK
Content-Type: application/json

{}

Telnet API (legacy)

Example session:

$ telnet 127.0.0.1 6080
Trying 127.0.0.1...
Connected to 127.0.0.1.
Escape character is '^]'.
begin
OK
insert 1 368308215,364034037,397576085,397509509,393249669,389054869
OK
insert 2 1574172159,1598222797,1564660173,1564656069,1564537317,1565584741
OK
insert 3 1130316157,1096749341,1075786015,1075655999,1075656047,1079977343
OK
commit
OK
search 1130316157,397509509,393249669,389054869
OK 1:3 3:1
quit
OK
Connection closed by foreign host.