INSERT INTO WINES VALUES (3, "Marks & Spencer", "Pinot Noir", "France") INSERT INTO WINES VALUES (2, "KWV", "Shiraz", "South Africa") INSERT INTO WINES VALUES (1, "Rooiberg", "Pinotage", "South Africa") As it’s not Friday yet, we’ll insert only three wines into our database: CREATE TABLE wines (id integer, producer varchar(30), kind varchar(20), country varchar(20)) This table named “wines” has four columns: for an ID, the wine’s producer, the wine’s kind, and country of the wine’s origin. Now let’s create a table and insert some data. You should see output similar to: SQLite version 3.8.1 12:57:35Įnter SQL statements terminated with a " " If the file database.db already exists, Sqlite will open a connection to it if it does not exist, it will be created. Where ‘database’ is the name of your database. To create a database, run the command: sqlite3 database.db 2) If the make command seems to expect further input, just be patient, as the source can take a while to compile). (Notes for building from source: 1) Don’t do this on a standard Ubuntu installation, as you’ll probably get a “header and source version mismatch” error, due to conflict between an already installed version and the newly installed one. If you need to compile it from source, then grab the latest autoconf version from the official SQLite website. Sudo apt-get install sqlite3 libsqlite3-dev To install the Sqlite command line interface on Ubuntu, use these commands: sudo apt-get update The sqlite3 module is part of the standard Python library, so on a standard Ubuntu installation or any system with Python installed, no further installation is strictly necessary. While it’s fairly trivial to move to another system, if you do ‘outgrow’ Sqlite, there will be some overhead involved in the transition.įor more information, there are some very good outlines on the pros and cons of Sqlite inside the official documentation. A final possible disadvantage is that its syntax, though similar to other SQL systems, is unique. Its shortcomings are only apparent if you need high reading or writing concurrency: Sqlite can only support one writer at a time, and the normally high file system latency may be inconvenient if there is a need for many clients to access a Sqlite database simultaneously. If you are looking for portability (with regards to both languages and platforms), simplicity, speed, and a small memory footprint–Sqlite is ideal. Because it is completely internal, it is often significantly faster than alternatives. The full database and all other necessary data is stored in a normal file in the host’s file system, so no separate server process is needed (cutting out all need for slow inter-process communication). The maximum size for a Sqlite database is 140 Terabytes (which should be enough, right?), and it can be substantially faster than a full-blown RDBMS. For example, it works fine for websites receiving up to 100,000 hits a day- and this is a conservative limit. Misconceptionsĭon’t be deceived into thinking that Sqlite is only for testing and development. This tutorial will explain when it is optimal to use Sqlite, as opposed to a full-blown RDBMS such as Mysql or Postgres, as well as how to install it and basic usage examples covering CRUD - Create, Read, Update, and Delete. Sqlite is a very simple and fast open source SQL engine. Click here to read an updated version written for Ubuntu 20.04. Note: This tutorial uses a deprecated version of Ubuntu.
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