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### **PR Type**
Tests
___
### **Description**
SQL Query Test Coverage
- COUNT, SUM, AVG, MIN, MAX
- approx_percentile_cont (P50, P75, P95, P99)
- histogram (time bucketing)
- str_match, str_match_ignore_case, COALESCE
- regexp_match, array_extract (regex groups)
- CASE WHEN (pattern matching)
- HAVING, LIKE, field comparisons
- GROUP BY (multi-field, time buckets)
- Kubernetes fields (kubernetes_container_name, etc.)
- Add advanced SQL E2E tests
- Validate fields and value constraints
- Cover percentiles and aggregations
- Exercise grouping, regex, and filters
___
### Diagram Walkthrough
```mermaid
flowchart LR
tests["New E2E SQL tests"] --> errorRate["Error rate analysis"]
tests --> percentiles["Time-bucket percentiles"]
tests --> volume["Log volume by bucket"]
tests --> source["Source grouping"]
tests --> hostPerf["Host performance stats"]
tests --> compPct["Component percentiles"]
tests --> apiLogs["API log analysis"]
tests --> metadata["Regex-based metadata extraction"]
```
<details> <summary><h3> File Walkthrough</h3></summary>
<table><thead><tr><th></th><th align="left">Relevant
files</th></tr></thead><tbody><tr><td><strong>Tests</strong></td><td><table>
<tr>
<td>
<details>
<summary><strong>test_advanced_sql.py</strong><dd><code>Add
comprehensive E2E advanced SQL query tests</code>
</dd></summary>
<hr>
tests/api-testing/tests/test_advanced_sql.py
<ul><li>Add eight E2E tests posting SQL queries<br> <li> Assert HTTP 200
and presence of expected fields<br> <li> Validate rates, percentile
ordering, and counts<br> <li> Use time windows, grouping, regex
extraction</ul>
</details>
</td>
<td><a
href="https://github.com/openobserve/openobserve/pull/8573/files#diff-190cc55e8b961580682e09403c997fda2e8288e5f210dec5ab41c9465c68538f">+514/-0</a>
</td>
</tr>
</table></td></tr></tr></tbody></table>
</details>
___
---------
Co-authored-by: Shrinath Rao <shnath@openobserve.ai>
pytest-openobserve
This is a repo to test openobserve API endpoints.
Introduction:
The tests are running using pytest against alpha1 for now.
Idea is to parametrize it for the other endpoints like production as well.
Getting Started
- We use
ryeto manage the python version and environment - https://github.com/mitsuhiko/rye - Once installed, simply run the following steps:
rye syncrye run pytest
TODOS:
- Parametrize tests to run against different environments
- Run the tests as cron-job every few hours or daily etc. for different environments
- Send slack-notification ( use github-actions ) in case something fails on
alpha1orproductionendpoints.