More than 28 million people use GitHub to. Converts the plain text IMDB files available for download into a usable relational database. Ameerkat / imdb-to. Here is an example on how to import a Oracle database dump file (a binary file that's exported from a Oracle database using the Oracle data. Download My Free PDF.
Online database dumps for the public. Stack Exchange data dump. The Internet Movie Database. You can also download the complete database dump from Freebase. Database Dump File Imdb Database. Free download imdb database dump Files at Software. A footprint of 80 kB saves device memory and allows online-download. Nov 19, 2017 - IMDb Datasets Subsets of IMDb data are available for access to customers for personal and non-commercial use. You can hold local copies of. IMDB extractor transforms Internet Movie Database data files into a. Download all required data files and. How to use IMDB extractor and database.
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Movie Imdb Database
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I have been a fan of IMDB for ages. I am also encountering my middle ages where remembering actors names are not my forte. It never was my forte. I like watching TV and movies, but I'm not 'in' to it.
You can download their data from their free FTP site after registering on their website. The sign-up process is simple and you can use your existing social network accounts to sign in. You can't make any money on their data (even incidentally - potentially pointing out to ads on your website). The fact is that it is there and it is begging to be used. IMDB provides information to end users, but at the end of the day there is a lot of data and information they could provide and it just isn't there.
You can go here to download the data. I did not choose to drill down in to all the folders as the information there didn't seem to fit my needs. So, I didn't read the contributors folder, diffs (differentials?) folder, the newsletter folder and finally the tools folder. Presently, since it was just under 50 files I did not write a program to download the data. Sometimes you have to do what makes sense. Yes, I am a programmer. You might be one as well. But I can download the files far faster than writing a program to download the files. If this becomes a repetitive process than I'll write a program to do it. This should be common sense; however, I have witnessed a programmer writing a bubble sort to process data that came out of SQL Server. It was impressive. Also, it was an Order By Columname clause in SQL. So, don't waste your time unless you have to.
This produced 1.71 GB of compressed files. Right now my tool of choice if Python - and so I wrote a short program to rip through these files and decompress them. It is a short and simple program, but delve in to the details in a later article. Please note you may take this code and use it yourself to experiment with; however, Python is an indent sensitive language and copy pasting from here may or may not preserve proper indentation.
After running this decompression program the folder 'IMDBUnzip' contained 48 files and the total disk space was 6.89 GB. Please note the code was not located in the IMDB folder but a separate folder called IMDBCode.
One of my native environments is Microsoft SQL Server. I created a database and two quick tables in SQL Server and wrote a quick small program to move the data from the decompressed files to a raw data table in SQL Server. Shown below. In this case I choose not to loop on the files as it was going to take a significant time to run each file. I did what I would call a 'poor man's' multi-threading and made several copies of the program and ran them at the same time to utilize my computers 4 processes (8 logical processors).
Code for the SQL Server table RAW_data shown below:
Code for uploading data to SQL Server shown below:
(Yes, there is a username and password there. No, you can't get to my server. No, that isn't a password I'd use normally)
Download Imdb Database
Below - the first of the two tables created - the FileLengths table. It contains the name of each file and the number of rows that file contains. Since the IMDB files are so large that no text editor can open them, I wrote a small Python program to rip through the files and give me the number of lines in each.
Code for getting the number of lines in each file:
SQL Server create table for 'FileLengths' table.
I did not waste my time connecting the data from the FileLengths program to the table and simply made some repetitive Insert statements to insert the 48 records in to the table.
So, the first thing I did was find out just how many records (well rows of data in the files) are we talking about? I wrote this relatively simple query to find out.
The above code combines two simple queries with a union. I a union you need to match all the columns in both queries. You can only have one order by statement in a union. Column names in the order by have to exist in the output so while the column name is there in the second table, because of the order of the queries I put the 'as NumRecords' in there and just to have names on all the columns for nice output I put it on them as well. As you can see - both with Python and with SQL Server, you don't need a lot of lines of code in order to get what you need. Below is the output:
Download Imdb Database Dump Files
There are over 140 million rows of information! That is quite impressive and does cause my SQL server on my lowly home desktop computer some aches and pain.
The next part of this article series on IMDB's data - I will explore data cleansing - and unfortunately, while they must be using this data on a daily basis - this data is kinda dirty. That is to be expected. The data is never clean.
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