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Posted to notifications@superset.apache.org by "curiousnihilist (via GitHub)" <gi...@apache.org> on 2026/07/24 11:50:58 UTC
[D] [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch [superset]
GitHub user curiousnihilist created a discussion: [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch
### Summary
The `/api/v1/chart/warm_up_cache` endpoint fails to effectively warm cache for charts on dashboards with **native filters**. Even when providing `extra_filters` parameter, the generated cache keys differ from those produced at runtime by `/api/v1/chart/data`.
### Environment
- **Superset Version:** 6.x (master branch)
- **Deployment:** Local development
### Root Cause Analysis
I've identified **two root causes** for the cache key mismatch:
#### 1. Native Filters Not Extracted
`get_dashboard_extra_filters()` in `superset/views/utils.py:332` only reads legacy `default_filters`, not `native_filter_configuration`:
```python
# Current code only handles legacy filters
default_filters = dashboard.params_dict.get("default_filters") # Legacy only!
# Native filters are stored differently:
# json_metadata.native_filter_configuration[].defaultDataMask.filterState.value
```
**Impact:** Charts with native filter defaults get different filter values during warmup vs runtime.
#### 2. Filter Order Mismatch
Even when `extra_filters` are provided, they're **appended** to the filter list via `.extend()`, but browsers send native filters **first**:
**Warmup code (line 101 in warm_up_cache.py):**
```python
query.filter.extend(dashboard_filters) # Appends at END
```
**Result:**
```
Warmup filters: [filter_a, filter_b, native_filter] ← extra_filter at END
Browser filters: [native_filter, filter_a, filter_b] ← native filter FIRST
```
Since `QueryObject.cache_key()` hashes the filter list as-is, different order → different MD5 hash → **cache miss**.
### Reproduction Steps
1. Create dashboard with native filter having a default value
2. Add charts to dashboard
3. Call warmup API with `extra_filters` matching native filter defaults
4. Open dashboard in browser
5. Check cache - **always MISS** despite warmup (cache keys differ due to filter order)
### How to Verify
1. Call warmup API with `extra_filters`
2. Open dashboard in browser with DevTools Network tab
3. Compare `cache_key` in `/api/v1/chart/data` response vs warmup
4. They will differ because warmup appends filters at end, browser sends them first
### Verified Fix
I've tested and confirmed the fix works:
**The Fix (one line change in `superset/commands/chart/warm_up_cache.py` line 101):**
```python
# Before (appends at end - wrong order)
query.filter.extend(dashboard_filters)
# After (prepends at beginning - matches browser order)
query.filter = list(dashboard_filters) + query.filter
```
**Result:** After applying this fix, both warmup and runtime endpoints generate identical cache keys, and `is_cached: True` is returned confirming cache hit.
### Proposed Solutions
#### Option A: Prepend filters instead of append (Recommended)
In `superset/commands/chart/warm_up_cache.py` line 101, change:
```python
# Current (appends at end)
query.filter.extend(dashboard_filters)
# Fix (prepends at beginning to match browser order)
query.filter = list(dashboard_filters) + query.filter
```
#### Option B: Sort filters before hashing
In `QueryObject.cache_key()`, sort filters by column name before hashing to make order irrelevant.
### Workaround
Currently, the only reliable warmup method is:
1. Use Playwright/Puppeteer to capture exact browser payloads
2. Replay those payloads directly to `/api/v1/chart/data`
This is not ideal for production environments.
### Related Issues
- #34837 - Cache warm_up logic
- #29307 - How to implement warm-up caching
### Questions
1. Is there an existing fix or PR addressing this?
2. Would the team accept a PR for Option A (prepend fix)?
---
**Labels to add:** `bug`, `caching`, `api`
GitHub link: https://github.com/apache/superset/discussions/42382
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Re: [D] [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch [superset]
Posted by "rusackas (via GitHub)" <gi...@apache.org>.
GitHub user rusackas added a comment to the discussion: [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch
Confirmed this is real, verified both root causes myself against current `master` rather than just trusting the write-up (and the write-up holds up well, though I'd push back a little on the `dosu` bot's aside — it says the non-legacy warmup path "doesn't appear to inject dashboard filters at all," but that's wrong, it still does the `.extend()` append). This should've been an issue, not a discussion, so I filed one: #43024.
Also found something useful for whoever picks up the fix: there's already a correct native-filter extractor wired into the real `/api/v1/chart/data` endpoint (`get_dashboard_filter_context`/`apply_dashboard_filter_context` in `superset/charts/data/dashboard_filter_context.py`). `ChartWarmUpCacheCommand` just isn't using it — reusing that instead of patching `get_dashboard_extra_filters` directly is probably the more correct fix than the one-line prepend you proposed.
Opened a test-only PR pinning the native-filter part of this: #43025. Left the filter-order part (your Option A/B) as a follow-up once that's fixed, since both need to land for warming to actually work.
GitHub link: https://github.com/apache/superset/discussions/42382#discussioncomment-17968485
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Re: [D] [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch [superset]
Posted by "dosubot[bot] (via GitHub)" <gi...@apache.org>.
GitHub user dosubot[bot] added a comment to the discussion: [Bug] `/api/v1/chart/warm_up_cache` generates different cache keys than runtime - Filter Order Mismatch
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<!-- Answer -->
Hi @curiousnihilist! I'm [Dosu](https://go.dosu.dev/dosubot) and I'm helping the Apache Superset team.
Your analysis is solid. I can confirm the two root causes you identified:
**1. Native filters not handled:** `get_dashboard_extra_filters()` in `superset/views/utils.py` indeed only reads legacy `default_filters` and does not process `native_filter_configuration` [[1]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/views/utils.py#L314-L350). Native filter defaults are completely absent from the warmup path.
**2. Filter order affects cache keys:** `QueryObject.cache_key()` hashes the filter list as-is without sorting [[2]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/common/query_object.py#L372-L441), so any difference in filter ordering between warmup and runtime produces a different cache key.
A note on the specific code location: the current `warm_up_cache.py` file structure may differ from what you're seeing — the non-legacy path (lines 77-95) doesn't appear to inject dashboard filters at all, rather than appending them in the wrong order [[3]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/chart/warm_up_cache.py#L78-L85). You may be working with a slightly different version or local modifications. Worth double-checking the exact line you're patching.
**Regarding your questions:**
1. **No existing PR** addresses this specific filter order / native filter warmup issue. However, there's precedent for cache-key consistency fixes — [PR #40993](https://github.com/apache/superset/pull/40993) fixed a similar cache key mismatch caused by mutating `orderby` expressions during query construction, and [PR #41531](https://github.com/apache/superset/pull/41531) added `NativeFilterOptionsStrategy` to pre-populate native filter option queries (though it didn't change cache-key semantics).
2. Between your two options, **Option B (sort filters before hashing)** would be the more robust long-term fix since it makes cache keys order-invariant and prevents similar issues from surfacing elsewhere. Option A (prepend) is more targeted and lower-risk but couples the warmup code to browser behavior. Both are reasonable — the team would likely have opinions on which approach is preferred in a PR review.
Also worth noting: [issue #34837](https://github.com/apache/superset/issues/34837) highlights a broader challenge — cache warmup runs under a system user context, so if Row-Level Security (RLS) is enabled, cache keys will still differ per user regardless of filter order fixes. Something to keep in mind if RLS is part of your setup.
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GitHub link: https://github.com/apache/superset/discussions/42382#discussioncomment-17765008
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