13 docs tagged with "liquibase-integration"

Learn how to add and configure the native Liquibase command step in Harness DB DevOps pipelines for advanced database control and flexibility.

Configure the Apply DB Schema step in a Harness Database DevOps pipeline to apply Liquibase or Flyway migrations to a target database instance.

Learn how Harness DBOps enables automated rollback for database schemas ensuring safe, reliable, and reversible schema changes with no manual effort.

Learn how to execute arbitrary SQL commands using the Liquibase command step in Harness DB DevOps for flexible database operations.

Configure the Rollback DB Schema step in a Harness Database DevOps pipeline to revert Liquibase or Flyway migrations to a specific tag or by a changeset count.

Configure the Rollback SQL step in a Harness Database DevOps pipeline to preview the SQL that would be executed during a rollback without applying it, for validation and policy enforcement.

Configure the Update SQL step in a Harness Database DevOps pipeline to preview the SQL that would be applied to a database without executing it, for validation and policy enforcement before deployment.

Understand what a changelog is in Harness Database DevOps, how it works with Liquibase, and how to structure it effectively for CI/CD, version control, and rollback automation.

Understand what a changeset is, how it works in Harness DB DevOps, and explore best practices for context, rollback, transaction control, and CI/CD workflows.

A guide to understand contexts in Harness Database DevOps, including their purpose, usage, and best practices for managing database changesets across environments.

Learn how tags work in Harness Database DevOps to mark database states, support rollback strategies, and align deployments with application releases.

Learn how the sqlFile tag works in Harness DB DevOps (via Liquibase), and how it enables reuse of raw SQL for reliable, auditable database deployments.

Learn how to organize Liquibase changelogs in Harness DB DevOps for scalable, auditable, and rollback-friendly database deployments.