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This enables you to conveniently use the SQL language to develop mobile apps.īut the benefits don’t stop there. #DB BROWSER FOR SQLITE SIZE OF TABLE FULL#Since these apps have only limited space, and are additionally sandboxes, this is the best (and only) way to maintain a full database on the phone. Also, this makes SQLite good for phone applications. No exporting your data using SQL files that increase the actual size of the data due to the many INSERT-statements in the backup file. The benefits are obvious: You can simply copy the file somewhere else and that’s it. SQLite, on the other hand, is as simple as it can get: A single file, everything in it, and that’s it. They split up the data tables efficiently, maintain some indices and do a lot of other engineering magic under the hood. Normally, databases (be that MySQL, PostgreSQL, MariaDB, or what not else) use a whole folder in which they store thousands of different files. It’s basically a regular database – with the difference that it works with a single, self-contained file. What is SQLite?įirst things first: What actually is SQLite? In simple terms it’s a library that enables you to write and read from. The only thing you shouldn’t do with SQLite is try to dump the equivalent of one day of data on the entire internet into it. #DB BROWSER FOR SQLITE SIZE OF TABLE CODE#Be it that you want to simply mock an SQL database to test out some web server code or because you are a reasonable person and know that one simply doesn’t use Excel. SQLite is an extremely convenient database format that will come in handy in lots of different situations. It’s still fresh in memory because I had to learn it the hard way that you do not, and I repeat, do not drop Gigabytes of data into an SQLite database.ĭisclaimer: This article is not arguing that you shouldn’t use SQLite at all. So why shouldn’t you dump a ton of data into a convenient single file on your computer? And why is actually distributing the data across many computers much faster? In this article I attempt to explain the science behind that. On the Slack I was lacking the full explanation due to space because – as everything in life – it’s complicated™. The data will now (probably) be transferred to a sharded MySQL database cluster and that will speed up almost anything by large margins. ![]() And to that I immediately had to respond “No!” Almost immediately the idea was brought up to simply drop everything into an SQLite database. Caifan Du asked what the best way would be to store about 16GB of research data efficiently since it was becoming extremely slow to work with on her own computer. This article has been prompted by a discussion yesterday on the Science of Science Slack channel. #DB BROWSER FOR SQLITE SIZE OF TABLE UPDATE#Please read the update here: Should you use SQLite? Update : There is now an update to this article where I acknowledge problems with the arguments I brought forth below. Published on Thursday, September 16th, 2021 While SQLite databases are very convenient for storing application data, you should not store any significant amount of research data in them. ![]()
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