Option 2Īssuming the table has been restored with its original data (including duplicate rows), here’s another option for de-duping it. Unless it has been explicitly removed from the table, you can use this as a unique identifier for each row, which enables us to construct the above queries. By default, every row in SQLite has a special column, usually called the rowid, that uniquely identifies that row within the table. This SQLite tutorial teaches you everything you need to know to start using SQLite. The reason we were able to do this is because of SQLite’s rowid. Using DB Browser for SQLite we are create autoloaded data on SQLite. Two of the duplicate rows for “Bark” have also been deleted. To delete the duplicate values, we can modify the above query by replacing SELECT * with DELETE: DELETE FROM PetsĪs expected, one of the duplicate rows for our dog “Wag” has been deleted and the other one remains. This shows us that three rows are going to be deleted when we de-dupe the table in the next step. Option 1īefore we de-dupe the table, we can use the following query to see which row/s will be deleted: SELECT * FROM Pets In any case, below are two options for finding and deleting duplicate rows. If there was a primary key, it would contain unique values across all rows, and there would be no duplicates. Select the db.sqlite3 file from your project folder. So for many people, the solution resides in an open source embeddable database with an amazingly small footprint (less than 250 kilobytes). Therefore, it’s not a unique identifier for each row, and it cannot be used as a primary key. open db browser for sqlite -> Select File(top left corner) ->open database. The PetId column might look like it could be a primary key, but it actually contains duplicate values. In this case, all columns are duplicates. We can see that the first two rows are duplicates, as are the last three rows. Suppose we have a table with the following data: SELECT * FROM Pets This is often referred to as de-duping the table. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 sqlite inputs.

It is strongly recommended to set this ID in your configuration. So if there are three identical rows for example, it deletes two of them and keeps one. If no ID is specified, Logstash will generate one. These examples delete duplicate rows but keep one.

The following options can be used to delete duplicate rows in SQLite.

Db browser for sqlite guide