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The database should be shutdown before running the dump and load commands.; neo4j-admin must be invoked as the neo4j user in order to ensure the appropriate file permissions. Step 2: Building the local database. If the DB exists you can rebuild it or skip this step. Step 3: Choosing the IMDB Interface to download from. Once you have selected the Interface check the files you want to download, and press Download data. The program will automatically download and decompress the files. Step 4: Synchronizing your data.

The file tosql.py converts (some of) the raw *.list files to a sql databasedefine by the schema below. The schemas folder contains the appropriatesql commands to construct the database for the supported databases (seethe DatabaseTypes class in the tosql.py script). The script currentlysupports conversion to sqlite and postgres sql databases.

To use first configure the script by going to the top of the script and modifyingthe Database and Options classes. Once configured run python tosql.py, thescript should notify you as it processes the various files. There is also a scriptcalled index.py that will let you add the indices to the database after addingall the data. This script relies on components of the tosql script so the tosql scriptmust be in the same directory or on the path. Full indexing either in database orthrough an external data structure will be added soon to allow autocompleteand partial title searches.

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SQLite support is builtin for python 2.5+ so no additional modules are necessaryto convert to a SQLite database. Postgres support is offered through psycopg2by default. Note that you can use any database adapter you like in realityfor postgres or otherwise provided it is DB-API2compliant and provided you create a schema set for it in the schema folder seemore details below. MySQL support is provided through MySQLdb

Using another DB-API2 client database adapter

As stated above you may use any DB-API2compliant adapter given you edit the script file and provide the schemas in the following way:

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1. Create a variable for the database type in the DatabaseTypes class.
2. Add a condition to the create_tables function to drop and createyour database. You may use the function executescript on open cursor/filesto execute full SQL files, similar to the builtin capabilities of sqlite'sexecutescript function.
3. Add appropriate drop and create schemas to the schema folder, seethe readme in the schema folder for naming conventions. In general these filesare db_name.sql, db_name.use_dict.sql and db_name.drop.sql
4. Add appropriate loading code to the start of the __main__ section of thecode, use the Database class to read in database parameters such as host,user name/password and database names. Do not put an import statement at thetop of the file, use the __import__ function to load the database driver onlyif necessary and your database type is being used.