The internet movie database, imdb.com. Compressed dump files are significantly compressed. Start downloading a Wikipedia database dump file such as an English Wikipedia dump. Stack Exchange Data Dump Item Preview. Create a directory to dump all the data files that we will download: $ mkdir / root / data $ cd / root / data. Create a database in MySQL called ‘imdb’, with user ‘imdb’ and password ‘imdb’. 5 thoughts on “ Importing IMDb Sample Data Set to MySQL ” Thanks, for the helpful post.

IMDB extractor transforms data files into a topic map browsable with Wandora. Extractor has been created for demonstration purposes only. Wandora does not contain any IMDB data files. Also, be aware that Wandora or Wandora authors have no rights to give you any permission to use IMDB data. If you plan to use IMDB topic maps beyond personal usage, you should contact. You may download IMDB datafiles from. As datafiles are extremely large you can't extract data to but have to use.

Wandora does not transfer all IMDB files. Current extractor transfers only. actors. actresses. keywords. countries. language.

locations. genres. movies. biographies. producers.

directors. plot summaries. running times. release dates To prepare the extraction download all required data files and unpack them to your local file system. Then create a database topic map and start extractor with File Extract Media IMDB Extractor. Wandora requests a folder containing IMDB data files or a single data file and starts the extraction after successful data file or folder identification. IMDB data files are very large and you should be patient as the extraction may take a while.

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Below is a screenshot of Wandora viewing associations of movie Dr. Notice the layer structure. Each IMDB datafile has been extracted to a separate database topic map. Contents. Step by step example of extracting IMDB with Wandora This chapter is a step by step tutorial showing you how to use IMDB extractor and database topic maps. Tutorial extractions were made in a Ubuntu Linux 8.1 running on top of (running on top of Windows XP).

Next screen shot views system properties of the Ubuntu Linux used for IMDB extractions. Notice the memory amount given for the Linux. We gave the Ubuntu 1500 MB of memory. Our experiences suggest you should give Linux memory as much as possible. With small memory footprints the IMDB extraction fails after heavy swapping.

Now start Ubuntu Linux and log in. Setting up Wandora We prepare Wandora application next. In Ubuntu. Download. Start Linux shell with menu option Applications Accessories Terminal. Open Wandora's bin directory.

Change execution rights of Wandora-huge.sh to allow execution. Finally add Java's bin directory to the PATH environment variable. Here is how I did previous steps: akivela@virtual-ubuntu:/Desktop$ cd wandora/bin akivela@virtual-ubuntu:/Desktop/wandora/bin$ dir SetClasspath.bat Wandora.bat Wandora-large.bat Wandora-mini.sh SetClasspath.sh Wandora-huge.bat Wandora-large.sh Wandora.sh Wandora-4g.sh Wandora-huge.sh Wandora-mini.bat akivela@virtual-ubuntu:/Desktop/wandora/bin$ chmod a+x Wandora-huge.sh akivela@virtual-ubuntu:/Desktop/wandora/bin$ PATH=$PATH:/home/akivela/jre1.6.013/bin akivela@virtual-ubuntu:/Desktop/wandora/bin$ Now you are ready to start Wandora application in Linux. Write./Wandora-huge.sh in terminal and hit enter. Wandora application should start.

Setting up databases for IMDB topic maps As stated in the beginning of IMDB extractor documentation above, you need a database topic map to store extracted topic map as it is very large. To prepare database topic map start another terminal window in Ubuntu with option Applications Accessories Terminal. In terminal. Install MySQL server with command sudo apt-get install mysql-server. Log into the MySQL server with command mysql -user= -password=. Create empty databases with MySQL command create database; (notice ending semicolon) for next database names:.

imdbactors. imdbactresses. imdbcountries. imdbgenres. imdbmovies. Prepare each created database with Wandora specific database table structures in wandora/build/resources/conf/database/dbmysql.sql.

In detail:. Select database with MySQL command use;, for example use imdbactors; (notice ending semicolon). Read database table creation clauses from external file with MySQL command source wandora/build/resources/conf/database/dbmysql.sql; (notice ending semicolon). Notice that you may have to change the path of dbmysql.sql depending on you Wandora installation directory and your current directory. Below is my terminal capture of previous steps. After these steps I have six empty in local MySQL and I am ready for actual IMDB extractions.

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Akivela@virtual-ubuntu:$ sudo apt-get install mysql-server Reading package lists. Done Building dependency tree Reading state information. Done The following extra packages will be installed: mysql-server-5.0 Suggested packages: tinyca mailx The following NEW packages will be installed: mysql-server mysql-server-5.0 0 upgraded, 2 newly installed, 0 to remove and 349 not upgraded. Need to get 26.9MB of archives. After this operation, 87.7MB of additional disk space will be used. Do you want to continue Y/n?

Y Get:1 intrepid/main mysql-server-5.0 5.0.67-0ubuntu6 26.8MB Get:2 intrepid/main mysql-server 5.0.67-0ubuntu6 54.9kB Fetched 26.9MB in 25s (1073kB/s) Preconfiguring packages. Selecting previously deselected package mysql-server-5.0.

(Reading database. 100052 files and directories currently installed.) Unpacking mysql-server-5.0 (from./mysql-server-5.05.0.67-0ubuntu6i386.deb). Selecting previously deselected package mysql-server. Unpacking mysql-server (from./mysql-server5.0.67-0ubuntu6all.deb). Processing triggers for man-db. Setting up mysql-server-5.0 (5.0.67-0ubuntu6). Stopping MySQL database server mysqld OK Reloading AppArmor profiles: done.

Starting MySQL database server mysqld OK. Checking for corrupt, not cleanly closed and upgrade needing tables. Setting up mysql-server (5.0.67-0ubuntu6). Akivela@virtual-ubuntu:$ mysql -user=root -password=mypass Welcome to the MySQL monitor.

Commands end with; or g. Your MySQL connection id is 2 Server version: 5.0.67-0ubuntu6 (Ubuntu) Type 'help;' or ' h' for help. Type ' c' to clear the buffer. Now click OK button and database configuration window closes reveling previous dialog window. Enter name for the layer, say imdbactors, keep the MySQL test database configuration selected, and click OK button. Wandora creates a new topic map layer and shows it left bottom corner of Wandora application window (see below). Now select the created layer by clicking it.

Selected layer is little darker than unselected. Now all 'write' operations go to the selected database topic map layer. If created layer is dark red, your new layer is broken.

Layer is broken when database connection fails for some reason. Check Wandora's terminal window for specific error message.

I managed to break a layer couple of times by entering wrong user name and password for the database. Next we are going to start the IMDB extraction. Select menu option File Extract Media IMDB extract. Wandora opens a Files/Urls/Raw selector. Keep the Files tab open and click Browse button. A file selector opens.

Go to the directory you uncompressed IMDB data files and select actors.list (see below). To start extraction press Extract button. As IMDB data files are extremely large, it is not very surprising the extraction takes several hours. For example, extracting 9 million rows of actors.list took 6 hours in my virtual Ubuntu. Extracted topic map contained little over 2 million topics and near 3 million associations. It is very important you to understand that trying to access such topic map in Wandora is extremely slow and causes OutOfMemory exceptions easily.

As a thumb rule do not try to search anything that could generate a result set with millions of hits. Also, do not open association type topics, role topics, or class topics as they probably generate extremely large topic table structures Wandora can't handle. Now, to continue extracting other IMDB files, drop extracted layer imdbactors with menu option Layers Delete layer. Database topic map layer deletion doesn't touch the database content and you can open it again later on. It's just more convenient to do the extraction when there are no other topic map layers disturbing. Now you should do all the steps described above to all other IMDB data files. You should extract each data file to it's own database topic map: actresses.list - imdbacresses movies.list - imdbmovies genres.list - imdbgenres countries.list - imdbcountries directors.list - imdbdirectors Merging IMDB database topic map layers Now you should have all IMDB data files extracted.

Final step is to open all generated topic maps to Wandora as separate layers. In Wandora, for each database topic map. Select menu option Layers New layer.

Change topic map type to Database. Edit default settings of MySQL test as you did while preparing the extraction. Give unique name for the layer and hit OK. As a result, your Wandora should look something like below and you can continue accessing the merged IMDB topic. Be careful, the layer stack is huge and you get easily OutOfMemory exceptions as said above:).

Getting Started

imdb is a light package that leverages the Python module IMDbPy and the etl framework to make mirroring the IMDB in SQL painless, with user interaction taking place entirely within R.

Prerequisities

You must install the Python module IMDbPy, which also has external dependencies. For Ubuntu, the following command should install everything you need. Binaries for Mac OS X and Windows are available from the project's Download page. [You may want to consult the .travis.yml file for a list of those dependencies.]

You will also need to install the etl package from GitHub.

Installation

Similarly, imdb must be installed from GitHub.

Instantiate an object

Since the IMDB is very large (many gigabytes), it is best to store the data in a persistent SQL database. By default, etl will create an RSQLite for you in a temp directory -- but this is not a very safe place to store these data. Instead, we will connect to an existing (but empty) MySQL database using a local option file.

Since you will be downloading lots of data, you will probably want to specify a directory to store the raw data (which will take up several gigabytes on disk). Again, etl will create a directory for you if you don't, but that directory will be in a temp directory that is not safe.

Performing the ETL steps

The first phase is to Extract the data from IMDB. This may take a while. There are 47 files that take up approximately 2 GB on disk. By default, only the movies, actors, actresses, and directors files will be downloaded, but even these take up more then 500 MB of disk space.

Mercifully, there is no Transform phase for these data. However, the Load phase can take a loooooong time.

The load phase leverages the Python module IMDbPy, which also has external dependencies. Please see the .travis.yml file for a list of those dependencies (on Ubuntu -- your configuration may be different).

You may want to leave this running. To load the full set of files it took about 90 minutes and occupied about 9.5 gigabytes on disk.

Query the database

Once everything is completed, you can query your fresh copy of the IMDB to find all of the Star Wars movies: