Sqlite> insert into awesome_video_games values('hitman', 'stealth') Sqlite> insert into awesome_video_games values('deus ex', 'rpg') Sqlite> insert into awesome_video_games values('final fantasy', 'rpg') Sqlite> insert into awesome_video_games values('fallout', 'rpg') Sqlite> create table awesome_video_games(name text, type text) You will see a sqlite prompt appear, and you can begin to enter in SQL statements to create tables and work with data like the following: To use it, simply fire up a Terminal and type sqlite3 followed by the name of the database you want to open, such as the following: One easy way to interact with sqlite3 databases is through the sqlite3 command line utility. You simply tell the sqlite3 library the name of the file the database is stored in, and it contains all of the smarts about how to handle SQL statements to get the data in and out of the file. This means that you don’t need to have a database server running at all. As mentioned above, databases are just flat files! One of the nicest aspects of SQLite is its simplicty. SQLite Overviewīefore we begin, let’s give a high level overview of SQLite. This SQLite tutorial does not assume any prior knowledge with Python or SQLite, however it assumes a basic knowledge of SQL. In the second part of the series, we will cover how to make an iPhone app that reads data from the SQLite database we created, and display data in a table view and a drill down detail view. In this first part of the series, we will cover what SQLite is and why we’d want to use it, how to use the sqlite3 command-line utility, and how to import data programmatically via Python. In this series, we’re going to show how to make an app that displays a list of failed US banks from a SQLite database. SQLite is a simple and easy to use library that implements a simple database engine, treating a database as a simple flat file. This two-part SQLite tutorial series is going to cover one of those options: SQLite. SQLite databases in half the time and double the fun.There are many ways to retrieve and store data on the iPhone, from property lists to NSCoding, from SQLite to Core Data. All we need to do here is select “Copy to database”, select our database as the target schema, and give the table the name we’d like to call it.Īnd there we have it, a new table with only our most delicious pasta recipes. You can also export the results of queries into a huge range of formats, from your usual CSV flavours to SQL insert statements, and even Markdown.Īnd finally, you can even send this result back to the database as a new table with a few clicks. This is a lot nicer to read, and we’ve got new ways of exploring the data, such as sorting columns by clicking the header, or transposing the data, which helps with viewing a lot of columns. Now look at this beautiful interactive table. Remember the yucky plain text we got when we used the command line? Let’s see what happens when we run the same query using the IDE. It not only helpfully highlights errors in red, but gives us an indication of what we’ve done wrong. The IDE also helps us check when we’ve made mistakes in our SQL queries. You can see that the IDE is really helping us here, giving us suggestions for not only the SQL commands, but also the column names. We can now write that same query that we wrote in the command line, but much more comfortably. All we need to do is open the Database tool window in the IDE, and then drag and drop our SQLite database into it to make the connection.Īs you can see, the IDE has already prepopulated all of the fields, and will even download the database drivers we need with one click! We just go ahead and click OK to finish up.Īnd Voila! The IDE has introspected the contents of our entire database, and at a glance we can see everything, down to the schemas of individual tables! Although this is not a dedicated SQL IDE, you can run native SQL code in a console attached to this database. Luckily the IDE offers us not only a solution to start exploring our database, but a super lazy solution. We’d need to copy and paste it into a CSV parser just to look at it properly! Once that’s done, we end up with all of our data in plain text. What about doing a simple query to find the most delicious, easy pasta recipes? Well, we’ll first need to start our SELECT statement and add the column names, then add our table name, then add in the WHERE clause, oh, and then order it all by difficulty. Then to have a look at what’s inside our tables, we need to follow that up with the schema dot command. We first need to connect to our database using the sqlite3 command, and then get the list of tables using the tables dot command. We have our SQLite database “recipes” here, and we want to know what’s inside. You could do everything through the command line … but what if I told you that there’s a better way? So, you need to work with a SQLite database.
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