![]() ❗️ It depends on your use case but probably the best answer to the original question is "don't do it!" If you need to access the data programmatically over the net then export the sqlite tables to something like JSON files and put them on a webserver, or expose the database via a more secure mechanisms like e.g. The UI has an option to export CSV or JSON and if you look at the request being made in the browser devtools you'll see that you can get the data directly as JSON by doing a POST request with an SQL query ( very neat for playing and debugging in your intranet but worst nightmare ever if you expose that over the internet ❗️□ ❌ - you have been warned❗️): Example POST request to get JSON data curl -data-raw 'sql=SELECT * FROM mytable limit 42 &export_json=' For remote access on a public you might want for example to bind it to 127.0.0.1 and then forward the port over ssh. While running with -host 0.0.0.0 might be fine on your own home or corporate network, it's a really bad idea to do it on a public host (even though the app allows setting a password). To make it visible on your LAN/WAN start it with: sqlite_web -host 0.0.0.0 my_database.db Once installed, start the web interface with: sqlite_web my_database.dbīy default it runs on ie is only accesible from the localhost. After your database is created and your first table is added, you can add some records.While sqlite itself does not provide any network endpoints you can use a web gui such as sqlite-web.Īssuming you have python installed you can install it with pip install sqlite-web If the tool categories are “hammer,” “spanner,” and “screwdriver,” you can’t add a record of type “chisel.”Ĭlick “OK” after you add the fields you want. For example, in a database of workshop tools, you might have a table of individual tools and another table of tool categories. ![]() Foreign Key: A field or group of fields in a record that must match a key in another table.In most cases, you can leave this to the default value. Other options are NOCASE, which is case-insensitive, and RTRIM, which ignores trailing white space. Collation: Sqlite can use different methods of string comparison.For example, you might check that the value in a phone number field has at least 10 characters. Check: A field can have a check performed on it when a record is added.Default: A default value will be provided if a record is added that has no value in this field.U (Unique): This field in each record must hold a unique value, meaning there can’t be any duplicates in this field in the table.We used this in the “id” field in the example we covered above. AI (Auto-Incrementing): Numeric fields can be automatically filled in, with the next highest unused value.There can only be one primary key in a table. In a table of user accounts, though, it might be a username. This might be a simple numeric value, like the auto-incrementing integer fields we covered above. PK (Primary Key): A field (or group of fields) that provides a unique identifier for the records in the table.If you try to add a record without providing a value for this field, it will be rejected. NN (Not Null): When this option is set, the field can’t be left empty.This contains the instructions necessary to re-create a database and insert its data into a database. Sometimes, you might be given or sent a database dump file in SQL format. ![]() We’re going to look at two ways you can import both data and database table definitions, as well as how you can create your own database. When DB4S starts, it doesn’t have a database loaded into it. On Manjaro, we use pacman: sudo pacman -Sy sqlitebrowser On Fedora, you type: sudo dnf install sqlitebrowser To install DB4S on Ubuntu, use the following command (again, note the installation still uses the old name): sudo apt-get install sqlitebrowser You can make sure the command does what you think it’s going to before you hard-code some SQL into your application. Browse and search for database records.Create, edit, and delete tables and indexes.Import and export tables and data in CSV format.Import and export database schemas, tables, and data in SQL format. ![]()
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