![]() Pynonymizer can also be invoked programmatically / from other python code. Instruct pynonymizer to ignore errors during theĪnonymization process and continue as normal. dry-run Instruct pynonymizer to skip all process steps. verbose Increases the verbosity of the logging feature, to v, -version show program's version number and exit pass additional arguments to the dump process pass additional arguments to the restore Use compression when backing up the database. ODBC driver to use for database connection Specify a number of rows to populate the fake data stop-at STEP Choose a step to stop at (inclusive). only-step STEP Choose one step to perform. ![]() start-at STEP Choose a step to begin the process (inclusive). Locale setting to initialize fake data generation. This will be dropped at the end of theĭatabase credentials: username. Provided, a unique name will be generated from the Name of database to restore and anonymize in. More databases willīe supported in future versions. The destination filepath to write the dumped output Use `-` forĪ strategyfile to use during anonymization. h, -help show this help message and exit ] Ī tool for writing better anonymization strategies for your production The anonymize process can be performed on remote servers, but you are responsible for creating/managing the target database.This is because MSSQL RESTORE and BACKUP instructionsĪre received by the database, so piping a local backup to a remote server is not possible. For RESTORE_DB/ DUMP_DB operations, the database server must be running.Requires extra dependencies: install package pynonymizer.If this workflow doesnt work for you, see process control to see if it can be adjusted to suit your needs. Anonymize temporary database with strategy. ![]()
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