![]() The issue was marked as a bug, and will be addressed in a future release – one possible solution is to provide an option to turn the autodetect feature on (to determine what the types should be) or off (to import everything as text). You can use the GUI to change the types after import. Alternatively, if I went and downloaded the latest stable release (3.10.1) the default behavior is that all columns are imported as text, which is a safer bet. First, if you build an empty table with the desired structure, and then go to import the CSV, if you provide the name of that empty table as the new table name the db will import your data into that table. The developers were super responsive, and a discussion ensued over whether this behavior was desirable or not. The project is managed on github, so I went ahead and posted an issue. As a result, ID codes like FIPS or ZIP Codes lose their leading zeros and are saved as integers. Even though the import screen gives you the option to specify that values are quoted, my quoted numeric fields were still saved as numbers and not text. I was using the nightly build version without realizing it, and when importing a CSV file the database takes a best guess as to what the data types for the columns should be. I encountered a few quirks, but nothing insurmountable. A nice safety feature, especially for db novices. So when you create, modify, or drop records, columns, or tables you see the result, but the act isn’t final until you commit the changes. ![]() One interesting addition is that there’s actually a Save (Write Changes) and Undo button. You can import and export data as CSV (or any delimited text file) or SQL files, and you can save the results of SELECT queries as CSV. The Execute SQL window has auto-complete and color-coded syntax, and you can see the database schema in one tab as you write your SQL in another (making it easy to reference table and column names). ![]() The Browse Data window makes it easy to quickly thumb through, sort, and filter records and to edit individual values by hand. It provides a number of convenient tools and menus that you can use in place of writing SQL DDL, and in some cases it expands the functionality of SQLite by enabling a number of ALTER TABLE commands that are not part of SQLite SQL (like renaming and dropping columns). It was easy to install and has a clean interface. It runs on Windows, Mac, and Linux and there’s a version for mobile. Hello DB Browser for SQLite!Īfter searching through many alternatives I discovered the DB Browser for SQLite. While it still works on the Firefox Extended Support Release, in the long run the writing is on the wall. An upgrade it highly unlikely, as a few things changed under the hood of Firefox that makes the plugin unusable. Since it was a Firefox plugin it was guaranteed to work on any operating system, and since Firefox is installed on machines across my campus I knew I could rely on it for creating data extracts for students and faculty – I’d package data up in SQLite and send it to them along with a link to the plugin.įirefox goes through about a million versions a year these days, and after a major upgrade last fall (to Firefox Quantum) most of the existing plugins, including the SQLite Manager, were no longer compatible. It had good support for importing and exporting csv files, color coding of cells based on data types, and a convenient feature for cycling back and forth between your SQL statements. The SQLite Manager was a plugin for Firefox that allowed you to create and interact with SQLite databases with a simple yet highly functional interface. when I import into new table I loose however all column names and types, and will have to rename each manuall (which I would like to avoid).Late last year, I discovered that my favorite SQLite GUI was defunct. I did some more testing and discovered the I can import while creating a new table, but I cannot import into predefined table structure, although I double checked the structure and it seems OK. If you look up the previous post and 3 lines from CSV you will see no quotes, but SQLite manager still did not take it. Yes, I understand your point, but even after removing the quotes I still get Error.
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