ORASOLU TOOLBOX · AUTOMATION & DEVOPS

DevOps Workflows

Practical resources for integrating database changes, validation and operational tasks into repeatable DevOps workflows.

ORASOLU TOOLBOX · AUTOMATION & DEVOPS

Make database delivery repeatable

Database DevOps workflows benefit from the same principles as application delivery: controlled changes, repeatable validation and clear evidence. These examples provide practical checks that can be used in delivery pipelines.

01 · PRECHECK

Capture database baseline

Capture a compact baseline before applying a database change.

SELECT
    SYS_CONTEXT('USERENV', 'DB_NAME') AS database_name,
    SYS_CONTEXT('USERENV', 'INSTANCE_NAME') AS instance_name,
    SYSTIMESTAMP AS captured_at
FROM dual;
02 · OBJECTS

Check invalid objects

Run a post-change check for invalid database objects.

SELECT
    owner,
    object_type,
    COUNT(*) AS invalid_count
FROM dba_objects
WHERE status = 'INVALID'
GROUP BY owner, object_type
ORDER BY owner, object_type;
03 · COLUMNS

Verify a database object

Check that a table or view exists in the expected owner and state.

SELECT
    owner,
    object_name,
    object_type,
    status
FROM dba_objects
WHERE owner = UPPER('&owner')
  AND object_name = UPPER('&object_name')
ORDER BY object_type;
04 · DEPENDENCIES

Review object dependencies

Review dependencies that may be affected by a database change.

SELECT
    owner,
    name,
    type,
    referenced_owner,
    referenced_name,
    referenced_type
FROM dba_dependencies
WHERE owner = UPPER('&owner')
ORDER BY name, type;
05 · JOBS

Validate scheduled jobs

Check scheduler jobs after a deployment or configuration change.

SELECT
    owner,
    job_name,
    enabled,
    state
FROM dba_scheduler_jobs
WHERE owner = UPPER('&owner')
ORDER BY job_name;
06 · RESULT

Capture deployment result

Return a simple completion record for a pipeline or deployment log.

SELECT
    'COMPLETED' AS result,
    SYS_CONTEXT('USERENV', 'DB_NAME') AS database_name,
    SYSTIMESTAMP AS completed_at
FROM dual;
ORASOLU TOOLBOX · AUTOMATION & DEVOPS

A database deployment is not complete until it is validated.

Use repeatable pre-checks and post-checks around database changes so deployments can be evaluated consistently instead of relying on manual inspection.