credativ-pg-migrator 0.9.0rc1

Migrator from proprietary and legacy databases into PostgreSQL

credativ-pg-migrator

credativ-pg-migrator is a solution for the migration of databases from legacy systems to PostgreSQL. It is is written in Python in multiple classes and modules. For practical usage and examples refer to the tests directory. There you can find working examples of the migration process for different databases.

Main features

• Pure python solution, uses only standard libraries, structured in modules, written in object-oriented style in classes
• Currently supported source databases are:
  • IBM dDB2 LUW
  • Informix
  • MS SQL Server
  • MySQL/MariaDB (engines with INFORMATION_SCHEMA)
  • Oracle
  • PostgreSQL (mainly for special use cases)
  • SQL Anywhere
  • Sybase ASE
• Supports migration of tables, column constraints and defaults, data, primary keys, secondary indexes, foreign keys, functions/procedures, triggers and views from source to target database
• If tables have sequences, migrator sets current values of sequences on the target database
• Migration of views is currently only in rudimentary version, just replacing source schema names in code with target schema names
• Conversion and migration of functions, procedures, triggers currently fully works for Informix. Can be added on demand for other databases too.
• Migrator allows customizable substitutions of data types, default values of columns, calls of remote objects.
• User can also define limitations for migration of data - as where conditions for tables. This option requires good analysis of dependencies in the source database. Missing data can break Foreign Key constraints in the target database. See further in the documentation.
• Migrator provides reach logging and error handling, has 2 levels of logging - INFO and DEBUG, in case of error, detailed error message is printed.
• By default logging messages are printed both to console and to log file, name of the log file is configurable in command line arguments.
• Rich information is also logged to the migration database - see below.

Usage

In a python venv:

. ../migrator_venv/bin/activate
python3 main.py --config=../config/test_database.yaml --log-file=../logs/test_database_$(date +%Y%m%d).log --log-level=DEBUG

From packages:

credativ-pg-migrator --config=./test_database.yaml --log-file=./test_database_$(date +%Y%m%d).log --log-level=INFO

Configuration file

• Configuration file is a YAML file
• Settings available in the config file are described in config_sample.yaml file

Architecture

Source databases

• Source database connector must implement DatabaseConnector class from the credativ-pg-migrator.database_connector module
• Methods of this class contain descriptions of actions and return values that are expected by the migrator tool
• Supported databases should be accessed via ODBC, JDBC or native python libraries. Not all options are available for all databases.
• See feature matrix in FEATURE MATRIX for supported features in different database connectors.

Target databases

• Target database connector must implement DatabaseConnector class from the migrator.database_connector module
• Solution currently supports only PostgreSQL as target database

Migration database

• Solution uses a migration database to store metadata about the migration process
• Migration database is a PostgreSQL database, credentials must be configured in the configuration file
• In most cases we assume that the migration database will the same as the target database, but it is fully possible to use a different database from the same or different PostgreSQL server
• Migration protocol tables contain detailed information about all migrated objects, like source code, target code, success or failure of migration, etc.

Changes

See CHANGELOG.

Known issues

See ISSUESLOG

Authors

credativ-pg-migrator has been primarily developped and is maintained by Josef Machytka, see AUTHORS.

License

credativ-pg-migrator is released under the GNU General Public License, version 3 (or any later version). See the file COPYING in the distribution for details.