A staging environment in ClickHouse is a separate database/schema used to test data loads, schema changes, and queries before promoting them to production.
Staging lets you validate schema changes, test data pipelines, and benchmark queries without touching production data. You avoid downtime and bad data migrations.
Run CREATE DATABASE staging;
. Prefix tables with the same names as production. Use ENGINE=MergeTree
or the engine that mirrors production for apples-to-apples testing.
Yes.Use CREATE TABLE staging.Customers AS prod.Customers
to duplicate structure only, or add ENGINE = MergeTree AS prod.Customers
with ORDER BY
clauses to include engine settings.
Insert a production snapshot or use SELECT * FROM prod.Customers LIMIT 100000
into staging tables. Smaller sets keep tests fast.
Create a role like stg_reader
and grant it only SELECT
on staging.*
.This prevents accidental writes to production.
Point your CI pipeline to the staging
host or database. Tear down and recreate tables on each run for clean states.
After tests pass, run identical DDL on production. Use SHOW CREATE TABLE
in staging to copy exact statements. Keep migrations in version control.
Schedule jobs to drop and recreate staging data weekly to control disk usage.
.
Yes, separate databases are sufficient, but resource-heavy tests might still impact production. Consider isolated nodes.
Version control DDL files. Apply them first to staging, then run the same scripts on production after validation.
If staging holds real customer data, enable disk encryption and restrict access to comply with privacy rules.