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HTTP API

Using HTTP, you may check the health of your EdgeDB instance, check metrics on your instance, and make queries.

Your instance’s URL takes the form of http://<hostname>:<port>/. For queries, you will append branch/<branch-name>/edgeql.

Here’s how to determine your local EdgeDB instance’s HTTP server URL:

  • The hostname will be localhost

  • Find the port by running edgedb instance list. This will print a table of all EdgeDB instances on your machine, including their associated port number.

  • The default branch in your EdgeDB database is main. Use this for <branch-name> unless you want to query a different branch.

To determine the URL of a remote instance you have linked with the CLI, you can get both the hostname and port of the instance from the “Port” column of the edgedb instance list table (formatted as <hostname>:<port>). The same guidance on local branch names applies to remote instances.

EdgeDB exposes endpoints to check for aliveness and readiness of your database instance.

Check if your instance is alive.

http://<hostname>:<port>/server/status/alive

If your instance is alive, it will respond with a 200 status code and "OK" as the payload. Otherwise, it will respond with a 50x or a network error.

Check if your instance is ready to receive queries.

http://<hostname>:<port>/server/status/ready

If your instance is ready, it will respond with a 200 status code and "OK" as the payload. Otherwise, it will respond with a 50x or a network error.

Retrieve instance metrics.

http://<hostname>:<port>/metrics

All EdgeDB instances expose a Prometheus-compatible endpoint available via GET request. The following metrics are made available.

compiler_process_spawns_total

Counter. Total number of compiler processes spawned.

compiler_processes_current

Gauge. Current number of active compiler processes.

branches_current

Gauge. Current number of branches.

backend_connections_total

Counter. Total number of backend connections established.

backend_connections_current

Gauge. Current number of active backend connections.

backend_connection_establishment_errors_total

Counter. Number of times the server could not establish a backend connection.

backend_connection_establishment_latency

Histogram. Time it takes to establish a backend connection, in seconds.

backend_query_duration

Histogram. Time it takes to run a query on a backend connection, in seconds.

client_connections_total

Counter. Total number of clients.

client_connections_current

Gauge. Current number of active clients.

client_connections_idle_total

Counter. Total number of forcefully closed idle client connections.

client_connection_duration

Histogram. Time a client connection is open.

edgeql_query_compilations_total

Counter. Number of compiled/cached queries or scripts since instance startup. A query is compiled and then cached on first use, increasing the path="compiler" parameter. Subsequent uses of the same query only use the cache, thus only increasing the path="cache" parameter.

edgeql_query_compilation_duration

Deprecated in favor of query_compilation_duration[interface="edgeql"].

Histogram. Time it takes to compile an EdgeQL query or script, in seconds.

graphql_query_compilations_total

Counter. Number of compiled/cached GraphQL queries since instance startup. A query is compiled and then cached on first use, increasing the path="compiler" parameter. Subsequent uses of the same query only use the cache, thus only increasing the path="cache" parameter.

sql_queries_total

Counter. Number of SQL queries since instance startup.

sql_compilations_total

Counter. Number of SQL compilations since instance startup.

query_compilation_duration

Histogram. Time it takes to compile a query or script, in seconds.

queries_per_connection

Histogram. Number of queries per connection.

query_size

Histogram. Number of bytes in a query, where the label interface=edgeql means the size of an EdgeQL query, =graphql for a GraphQL query, =sql for a readonly SQL query from the user, and =compiled for a backend SQL query compiled and issued by the server.

auth_api_calls_total

Counter. Number of API calls to the Auth extension.

auth_ui_renders_total

Counter. Number of UI pages rendered by the Auth extension.

auth_providers

Histogram. Number of Auth providers configured.

auth_successful_logins_total

Counter. Number of successful logins in the Auth extension.

background_errors_total

Counter. Number of unhandled errors in background server routines.

transaction_serialization_errors_total

Counter. Number of transaction serialization errors.

connection_errors_total

Counter. Number of network connection errors.

Before querying over HTTP, you must first enable the HTTP extension in your schema. Add this to your schema, outside any module:

Copy
using extension edgeql_http;

Then create a new migration and apply it using edgedb migration create and edgedb migrate, respectively.

Your instance is now able to receive EdgeQL queries over HTTP.

Enabling the HTTP extension is only required for querying over HTTP. It is not required for health checks or observability.

Make a query to your EdgeDB database using this URL:

http://<hostname>:<port>/branch/<branch-name>/edgeql

You may make queries via either the POST or GET HTTP method. Query requests can take the following fields:

  • query - contains the EdgeQL query string

  • variables- contains a JSON object where the keys are the parameter names from the query and the values are the arguments to be used in this execution of the query.

When using the GET method, supply query and variables as query parameters. For a POST request, use the application/json content type and submit a JSON payload with query and variables as top-level keys in that payload as in this example:

Here’s an example query you might want to run to insert a new person in your database, as executed from the EdgeDB REPL:

Copy
db> 
insert Person { name := <str>$name };
Parameter <str>$name: Pat
{default::Person {id: e9009b00-8d4e-11ed-a556-c7b5bdd6cf7a}}

The query inserts a Person object. The object’s name value is parameterized in the query as $name.

This GET request would run the same query (assuming the instance is local and you want to query the main branch):

GET http://localhost:<port>/branch/main/edgeql?query=insert%20Person%20%7B%20name%20%3A%3D%20%3Cstr%3E$name%20%7D%3B&variables=%7B%22name%22%3A%20%22Pat%22%7D

As you can see with even this simple query, URL encoding can quickly become onerous with queries over GET.

Here’s the JSON payload of a POST request to execute the query:

{
  "query": "insert Person { name := <str>$name };",
  "variables": { "name": "Pat" }
}

The response format is the same for both methods. The body of the response is JSON of the following form:

{
  "data": [ ... ],
  "error": {
    "message": "Error message",
    "type": "ErrorType",
    "code": 123456
  }
}

The data response field will contain the response set serialized as a JSON array.

Note that the error field will only be present if an error actually occurred. The error will further contain the message field with the error message string, the type field with the name of the type of error and the code field with an integer error code.

Caution is advised when reading decimal or bigint values using the HTTP protocol because the results are provided in JSON format. The JSON specification does not have a limit on significant digits, so a decimal or a bigint number can be losslessly represented in JSON. However, JSON decoders in many languages will read all such numbers as some kind of of 32- or 64-bit number type, which may result in errors or precision loss. If such loss is unacceptable, then consider casting the value into str and decoding it on the client side into a more appropriate type.