clickhouse-migrator 1.0.5

Migration library for Clickhouse

Clickhouse Migrator

Clickhouse is known for its scale to store and fetch large datasets.

Development and Maintenance of large-scale db systems many times requires constant changes to the actual DB system. Holding off the scripts to migrate these will be painful.

We found there is nothing existing earlier and developed one inspired by, Flyway, Alembic

This is a python library, which you can execute as a pre-hook using sys python. Or as a migration framework before deployment/server-startup in your application as required.

Publishing to pypi

• python -m build
• python -m twine upload --verbose --repository pypi dist/*

Installation

You can install from pypi using pip install clickhouse-migrator.

Usage

# <= v1.0.4
from migration_lib.migrate import migrate

migrate(db_name, migrations_home, db_host, db_user, db_password, create_db_if_no_exists)

# > v1.0.4
from clickhouse_migrate.migrate import migrate

migrate(db_name, migrations_home, db_host, db_user, db_password, create_db_if_no_exists)

Parameter	Description	Default
db_name	Clickhouse database name	None
migrations_home	Path to list of migration files	<project_root>
db_host	Clickhouse database hostname	localhost
db_password	*****	****
create_db_if_no_exists	If the db_name is not present, enabling this will create the db	True
db_port	Database port incase your server runs on a non default port	None (defaults to 9000)
queue_exec	Command Pipelining (wait for system mutations if any to complete) for every command	True

Folder and Migration file patterns

The filenames are pretty similar to how flyway keeps it.

Your first version filename should be prefixed with V1__ (double underscore) These migrations are executed one by one, failures in between will stop and not further version files will be executed.

Multi statement and single statement migrations

If your migration is a single statement, you can create a file in the migration folder using the .sql extension and push your migration statement in there.

If you want to execute more than one statement in your migration, you can use a json file using the array syntax. Note that when using a json file, contents should be a valid json array as show. Ensure to keep migrations logical. Its not a good practise to push all migrations to one json file and neither is it wise to in all cases have them each statement in one file.

[
  "CREATE TABLE pytest.sample1(id UInt32, name String) ENGINE MergeTree PARTITION BY tuple() ORDER BY tuple()",
  "CREATE TABLE pytest.sample2(id UInt32, name String) ENGINE MergeTree PARTITION BY tuple() ORDER BY tuple()",
  "CREATE TABLE pytest.sample3(id UInt32, name String) ENGINE MergeTree PARTITION BY tuple() ORDER BY tuple()"
]