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The ArangoDB Web-Interface
@NAVIGATE_UserManualWebInterface @EMBEDTOC{UserManualWebInterfaceTOC}
Accessing the Web-Interface
The web interface can be accessed via the URL
http://localhost:8529
assuming you are using the standard port and no user routings. If you have any application installed, the home page might point to that application instead. In this case use
http://localhost:8529/_admin/html/index.html
Collections Tab
The Collections tab shows an overview of the loaded and unloaded collections present in ArangoDB. System collections (i.e. collections whose names start with an underscore) are not shown by default.
The list of collections can be restricted using the search bar, or by using the filtering at the top. The filter can also be used to show or hide system collections.
Clicking on a collection will show the documents contained in it. Clicking the small icon on a collection's badge will bring up a dialog that allows loading/unloading, renaming and deleting the collection.
Please note that you should not change or delete system collections.
In the list of documents of a collection, you can click on the Add document line to add a new document to the collection. The document will be created instantly, with a system-defined key. The key and all other attributes of the document can be adjusted in the following view.
AQL Editor Tab
The AQL Editor tab allow to execute AQL queries.
Type in a query in the bottom box and execute it by pressing the Submit button. The query result will be shown in the box at the top.
JS Shell Tab
The JS Shell tab provides access to a JavaScript shell connection to the database server.
Any valid JavaScript code can be executed inside the shell. The code will be
executed inside your browser. To contact the ArangoDB server, you can use the
db object, for example as follows:
JSH> db._create("mycollection");
JSH> db.mycollection.save({ _key: "test", value: "something" });
Logs Tab
You can use the Logs tab to browse the most recent log entries provided by the ArangoDB database server.
Note that the server only keeps a limited number of log entries. For real log analyses write the logs to disk using syslog or a similar mechanism. ArangoDB provides several startup options for this.