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Not all of these values may exist: This is one of the risk of working with data that has been compiled from multiple sources.
To make our lives easier (because I really don’t want to type 557 SQL commands to create this database), we will only extract 4 values from this database: Name (of doctor), Legal name (business name), city and state. You can see how entries this database has, which is why it is so big. It is being word wrapped, but it’s one kilometer long line of text. Open it in a text editor.Īll of that is one line. There is a csv file with FileHeader in the name.
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Make sure you have downloaded the file from Īlso download Sqlite Browser, a cool tool that allows us to look at the database visually. The notebook we are using is Open 5 Gb file.ipynb. I broke the video into 2 parts for easy editing, but it’s actually one long video. Reading our file and storing in a database Okay, with that knowledge, let’s start with reading our 5 GB file. In the examples below, we will cover this in more detail. If you get stuck, you can get an answer in 2-3 Google searches. Most of the commands are intuitive and easy to follow. I deliberately kept this section simple, so you can see how simple SQL is. We will be building on this knowledge and looking at more complicated examples when we open our 5GB file. This was a very simple introduction to Sql and Sqlite. Introduction to Sqlite with PythonĪ final commit(), and then we close() the database. And since it is file based, it is easy to share the data. Sqlite can easily handle websites with 100K/day visitors. While it’s a simple database, the main thing I want to emphasis is, it’s not a toy database.
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We will be using something called Sqlite, a free database that comes inbuilt with Python.
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If you are on Windows, use 7zip to unzip it, as Windows gets confused with the file. Real Reason (TM) programmers don’t use a database: They are scared of the weird syntax of SQL, which looks a lot like it was a language invented for business types in the 60s-70s (it was!). I have seen a fear of SQL in many people (and this is not a judgement, as I was in this club for a long time). You don’t need to master everything database related, but make sure when someone uses the word Acid you don’t say Yeah man, groovy. Have a skim through the top rated answer.
It didn’t start off as a 5GB file, but grew over time till it became too large to open with Excel.ĭatabases routinely handle Gigabytes of data without any problems, so we should be using them. It works.įor an example, just look at the current file. Many scientists and engineers happy to use Ms Excel, CSV files, or even text files. You store the data in a database and read it. So how do you open a 5GB file? Not all of it at the same time is the answer. Not to mention, you may not even have enough memory to open it.Įven if you buy a more powerful machine, the lack of tools to work with large files will hold you back. Ms Excel can’t open it, Openoffice can’t open it, Notepad++ can’t open it. So the file we want to open is almost 5.3GB. Minor correction to video below: Sqlite can handle concurrent connections, though it may not be as fast. The videos are mixed with the transcripts, so scroll down if you are only interested in the videos. There are 6 videos + transcript in this series. Intro to SqLite.ipynb is the notebook we are working with. If you have used SQL with SqLite before, still have a look at the notebook, as I will be referring back to it. To start off, we will get a gentle intro to SQL. We will be using Ipython Notebooks( see here for a quick intro).
OPEN SQLITE FILE PYTHON SERIES
While some people think this answer is common sense, I have seen far too many people intimidated with databases, so this series also serves as an introduction to SQL and Sqlite. The Problem: We have a 5GB file, and no tool we have can work with such large files (provided you even have enough free RAM to hold the whole thing in memory).
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