An ETL test plan tells everyone what will be tested, how, where and when, and what "done" means. It does not need to be long. A clear two-page plan beats a 40-page document nobody reads. Below is an ETL test plan template you can copy, followed by a filled-in sample.
What Is an ETL Test Plan?
It is the planning document for step 3 of the ETL testing process. Compared with an application test plan, an ETL test plan focuses on tables, loads and data layers instead of screens and features, and it must explain where test data comes from and how results will be reconciled.
The ETL Test Plan Template
| # | Section | What to write |
|---|---|---|
| 1 | Document control | Project, version, author, reviewers, date |
| 2 | Objective | One or two sentences: what the ETL release delivers and why it is being tested |
| 3 | Scope: in | Source systems, target tables, load types (full, incremental, SCD), layers (staging, warehouse, mart) |
| 4 | Scope: out | What will not be tested, for example the BI report layout or source system bugs |
| 5 | Test approach | Types of testing: metadata, completeness, transformation, data quality, integrity, incremental, performance, regression. Manual SQL, automated scripts or tools |
| 6 | Test environment | Databases, schemas, ETL tool, access needed, how loads are triggered |
| 7 | Test data | Production copy, masked data or synthetic data; the edge cases that must exist |
| 8 | Entry criteria | Conditions to start testing (see below) |
| 9 | Exit criteria | Conditions to sign off (see below) |
| 10 | Defect management | Tool, severity definitions, triage cadence, retest rules |
| 11 | Roles and schedule | Who tests, who fixes, who signs off; milestones |
| 12 | Risks and mitigations | What could stop or invalidate testing, and the plan for each |
Filled-in Sample: Orders Data Mart
| Section | Sample content |
|---|---|
| Objective | Validate the new orders data mart (fact_orders, dim_customer, dim_product) before the finance dashboard goes live. |
| Scope: in | Daily incremental load from the order system into staging and the warehouse; SCD Type 2 on dim_customer; history backfill for 2025. |
| Scope: out | Dashboard visuals; source order system defects. |
| Approach | SQL validation for metadata, counts, missing/extra records, 14 transformation rules, nulls, duplicates and orphan keys; SCD Type 2 scenarios; Python script for full-column comparison of the backfill; regression suite automated after sign-off. |
| Environment | QA warehouse schema, read access to the order system replica, ability to trigger the load on demand. |
| Test data | Masked production copy for one month plus 25 synthetic edge-case records (null emails, duplicate order IDs, unknown product codes, address changes). |
| Defects | Logged in Jira; Critical = wrong financial amount or lost rows; triage daily. |
| Schedule | Planning 2 days, design 3 days, execution 5 days, regression 2 days. |
Entry and Exit Criteria
Entry criteria (testing starts when):
- The mapping document is signed off and questions are answered
- The ETL code is deployed to the QA environment and a load has completed
- Test data with the agreed edge cases is available
- Testers have read access to source, staging and target
Exit criteria (sign-off when):
- All planned test cases executed
- Record counts and financial totals reconcile between source and target
- No open Critical or High defects; Medium defects have an agreed fix date
- Regression suite passes on a fresh load
Common Risks to Include
| Risk | Mitigation |
|---|---|
| Mapping changes during testing | Version the mapping; re-review changed rules before re-execution |
| QA data does not contain edge cases | Insert synthetic records into the source before the load |
| Shared environment overwritten by other teams | Agree a load schedule or use a dedicated schema |
| Large volumes make full comparisons slow | Compare totals and hashes first, then full rows on a sample or by partition |
Tips for a Plan People Actually Use
- Keep it short and link out to the test case sheet instead of copying test cases into the plan.
- Write exit criteria as measurable statements, not "testing is complete".
- Pair the plan with the ETL testing checklist so nothing is missed during execution.
- Update the plan when scope changes; an out-of-date plan is worse than none.
ETL testing process & templates: ETL testing process · ETL testing checklist · SCD testing · data profiling · metadata testing · ETL test cases
Frequently Asked Questions
What should an ETL test plan include?
An ETL test plan should include the objective, scope in and out, test approach, environment, test data strategy, entry and exit criteria, defect management, roles and schedule, and risks with mitigations.
What is the difference between an ETL test plan and a test strategy?
A test strategy describes the general approach to testing across projects. An ETL test plan applies it to one release: the specific tables, loads, data, schedule and exit criteria.
What are exit criteria in ETL testing?
Typical exit criteria are: all planned test cases executed, counts and financial totals reconciled between source and target, no open Critical or High defects, and the regression suite passing on a fresh load.
Is there a free ETL test plan template?
Yes. The 12-section template on this page is free to copy. Paste it into a document or spreadsheet and fill in each section for your project.
Asim Noaman Lodhi
Certified Google Partner · QA Consultant · 12+ Years IT
QA consultant specializing in ETL testing and data quality. Trained 913+ students to transition into data testing roles through hands-on, real-world instruction.