fix: Check python deps CI job

Co-authored-by: Jakub Hrubý <jakub.hruby@orgis.cz>
Co-authored-by: Jezevec <panjzvc@gmail.com>
Co-authored-by: David Kopelent <david.kopelent@saltpay.co>
Co-authored-by: David Kopelent <66686489+davidkopelent@users.noreply.github.com>

.github/dependabot.yml

@@ -37,6 +37,10 @@ updates:
       # `just-handlerbars-helpers` library in plugin-chart-handlebars requires `currencyformatter`` to be < 2
       - dependency-name: "currencyformatter.js"
         update-types: ["version-update:semver-major"]
+      # TODO: remove below clause once https://github.com/pmmmwh/react-refresh-webpack-plugin/pull/940 lands onto a future release
+      # and confirm the issue https://github.com/apache/superset/issues/39600 is fixed
+      - dependency-name: "react-checkbox-tree"
+        update-types: ["version-update:semver-major"]
     groups:
       storybook:
         applies-to: version-updates
@@ -55,15 +59,13 @@ updates:
     versioning-strategy: increase
 
 
-  # NOTE: `uv` support is in beta, more details here:
-  # https://github.com/dependabot/dependabot-core/pull/10040#issuecomment-2696978430
-  - package-ecosystem: "uv"
-    directory: "requirements/"
+  - package-ecosystem: "pip"
+    directory: "/"
     open-pull-requests-limit: 10
     schedule:
       interval: "weekly"
     labels:
-      - uv
+      - pip
       - dependabot
 
   - package-ecosystem: "npm"

.github/labeler.yml

@@ -77,6 +77,11 @@
   - any-glob-to-any-file:
     - 'superset/translations/zh/**'
 
+"i18n:czech":
+- changed-files:
+  - any-glob-to-any-file:
+    - 'superset/translations/cs/**'
+
 "i18n:traditional-chinese":
 - changed-files:
   - any-glob-to-any-file:
@@ -122,6 +127,11 @@
   - any-glob-to-any-file:
     - 'superset/translations/sk/**'
 
+"i18n:latvian":
+- changed-files:
+  - any-glob-to-any-file:
+    - 'superset/translations/lv/**'
+
 "i18n:ukrainian":
 - changed-files:
   - any-glob-to-any-file:

.github/workflows/bashlib.sh

@@ -127,6 +127,20 @@ playwright_testdata() {
   superset load_test_users
   superset load_examples
   superset init
+  # Enable DML on the examples database so Playwright tests can create/drop
+  # temporary tables via SQL Lab without depending on external data sources.
+  superset shell <<'PYEOF'
+import sys
+from superset.extensions import db
+from superset.models.core import Database
+examples_db = db.session.query(Database).filter_by(database_name='examples').first()
+if not examples_db:
+    sys.exit('ERROR: examples database not found. load_examples may have failed.')
+
+examples_db.allow_dml = True
+db.session.commit()
+print('Enabled allow_dml on examples database')
+PYEOF
   say "::endgroup::"
 }
 

.github/workflows/superset-docs-deploy.yml

@@ -70,7 +70,7 @@ jobs:
           yarn install --check-cache
       - name: Download database diagnostics (if triggered by integration tests)
         if: github.event_name == 'workflow_run' && github.event.workflow_run.conclusion == 'success'
-        uses: dawidd6/action-download-artifact@8305c0f1062bb0d184d09ef4493ecb9288447732 # v20
+        uses: dawidd6/action-download-artifact@b6e2e70617bc3265edd6dab6c906732b2f1ae151 # v21
         continue-on-error: true
         with:
           workflow: superset-python-integrationtest.yml
@@ -79,7 +79,7 @@ jobs:
           path: docs/src/data/
       - name: Try to download latest diagnostics (for push/dispatch triggers)
         if: github.event_name != 'workflow_run'
-        uses: dawidd6/action-download-artifact@8305c0f1062bb0d184d09ef4493ecb9288447732 # v20
+        uses: dawidd6/action-download-artifact@b6e2e70617bc3265edd6dab6c906732b2f1ae151 # v21
         continue-on-error: true
         with:
           workflow: superset-python-integrationtest.yml

.github/workflows/superset-docs-verify.yml

@@ -111,7 +111,7 @@ jobs:
         run: |
           yarn install --check-cache
       - name: Download database diagnostics from integration tests
-        uses: dawidd6/action-download-artifact@8305c0f1062bb0d184d09ef4493ecb9288447732 # v20
+        uses: dawidd6/action-download-artifact@b6e2e70617bc3265edd6dab6c906732b2f1ae151 # v21
         with:
           workflow: superset-python-integrationtest.yml
           run_id: ${{ github.event.workflow_run.id }}

RESOURCES/INTHEWILD.yaml

@@ -58,6 +58,10 @@ categories:
       url: https://www.ontruck.com/
 
   Financial Services:
+    - name: Aadhar Housing Finance Limited
+      url: https://www.aadharhousing.com
+      contributors: ["@thakerhardiks"]
+
     - name: Aktia Bank plc
       url: https://www.aktia.com
 

docs/admin_docs/configuration/cache.mdx

@@ -138,14 +138,33 @@ THUMBNAIL_CACHE_CONFIG = init_thumbnail_cache
 ```
 
 Using the above example cache keys for dashboards will be `superset_thumb__dashboard__{ID}`. You can
-override the base URL for selenium using:
+override the base URL for Selenium using:
 
 ```
 WEBDRIVER_BASEURL = "https://superset.company.com"
 ```
 
-Additional selenium web drive configuration can be set using `WEBDRIVER_CONFIGURATION`. You can
-implement a custom function to authenticate selenium. The default function uses the `flask-login`
+To control which user account is used for rendering thumbnails and warming up caches, configure
+`THUMBNAIL_EXECUTORS` and `CACHE_WARMUP_EXECUTORS`. Each accepts a list of executor types (which
+resolve to an owner, creator, modifier, or the currently-logged-in user) and/or a `FixedExecutor`
+pinned to a specific username. By default, thumbnails render as the current user
+(`ExecutorType.CURRENT_USER`) and cache warmup runs as the chart/dashboard owner
+(`ExecutorType.OWNER`).
+
+To force both to run as a dedicated service account (`admin` in this example):
+
+```python
+from superset.tasks.types import ExecutorType, FixedExecutor
+
+THUMBNAIL_EXECUTORS = [FixedExecutor("admin")]
+CACHE_WARMUP_EXECUTORS = [FixedExecutor("admin")]
+```
+
+Use a dedicated read-only service account here rather than a personal admin account, so that
+thumbnail rendering and cache warmup tasks don't fail if a specific user's credentials change.
+
+Additional Selenium WebDriver configuration can be set using `WEBDRIVER_CONFIGURATION`. You can
+implement a custom function to authenticate Selenium. The default function uses the `flask-login`
 session cookie. Here's an example of a custom function signature:
 
 ```python
@@ -159,6 +178,20 @@ Then on configuration:
 WEBDRIVER_AUTH_FUNC = auth_driver
 ```
 
+## ETag Support for Thumbnails
+
+Thumbnail and screenshot endpoints return `ETag` response headers based on the cached content digest. Clients can use conditional requests to avoid downloading unchanged images:
+
+```
+GET /api/v1/chart/42/thumbnail/
+If-None-Match: "abc123..."
+
+→ 304 Not Modified  (if unchanged)
+→ 200 OK            (with new image if changed)
+```
+
+This is particularly useful for embedded dashboards and external integrations that periodically poll for updated screenshots — unchanged thumbnails return immediately with no payload.
+
 ## Distributed Coordination Backend
 
 Superset supports an optional distributed coordination (`DISTRIBUTED_COORDINATION_CONFIG`) for

docs/admin_docs/configuration/configuring-superset.mdx

@@ -372,6 +372,26 @@ CUSTOM_SECURITY_MANAGER = CustomSsoSecurityManager
   ]
   ```
 
+### PKCE Support
+
+For public OAuth2 clients that cannot securely store a client secret, enable Proof Key for Code Exchange (PKCE) by adding `code_challenge_method` to the `remote_app` configuration:
+
+```python
+OAUTH_PROVIDERS = [
+    {
+        'name': 'myProvider',
+        'remote_app': {
+            'client_id': 'myClientId',
+            'client_secret': 'mySecret',  # may be empty for pure public clients
+            'code_challenge_method': 'S256',  # enables PKCE
+            'server_metadata_url': 'https://myAuthorizationServer/.well-known/openid-configuration'
+        }
+    }
+]
+```
+
+PKCE (`S256`) is recommended for all OAuth2 flows, even when a client secret is present, as it protects against authorization code interception attacks.
+
 ## LDAP Authentication
 
 FAB supports authenticating user credentials against an LDAP server.

docs/admin_docs/configuration/importing-exporting-datasources.mdx

@@ -30,6 +30,10 @@ Superset's ZIP-based import/export also covers **dashboards**, **charts**, and *
 |  └── ... (more databases)
 ```
 
+:::note
+When you export a database connection, the `masked_encrypted_extra` field (used for sensitive connection parameters such as service account JSON, OAuth tokens, and other encrypted credentials) is included in the export. When importing on another instance, these values are decrypted and re-encrypted using the destination instance's `SECRET_KEY`. Ensure the receiving instance has a valid `SECRET_KEY` configured before importing.
+:::
+
 ## Exporting Datasources to YAML
 
 You can print your current datasources to stdout by running:

docs/admin_docs/configuration/mcp-server.mdx

@@ -501,7 +501,7 @@ All MCP settings go in `superset_config.py`. Defaults are defined in `superset/m
 | `MCP_SERVICE_URL` | `None` | Public base URL for MCP-generated links (set this when behind a reverse proxy) |
 | `MCP_DEBUG` | `False` | Enable debug logging |
 | `MCP_DEV_USERNAME` | -- | Superset username for development mode (no auth) |
-| `MCP_PARSE_REQUEST_ENABLED` | `True` | Pre-parse MCP tool inputs from JSON strings into objects. Set to `False` for clients (Claude Desktop, LangChain) that do not double-serialize arguments — this produces cleaner tool schemas for those clients |
+| `MCP_RBAC_ENABLED` | `True` | Enforce Superset's role-based access control on MCP tool calls. When `True`, each tool checks that the authenticated user has the required FAB permission before executing. Disable only for testing or trusted-network deployments. |
 
 ### Authentication
 
@@ -517,6 +517,7 @@ All MCP settings go in `superset_config.py`. Defaults are defined in `superset/m
 | `MCP_REQUIRED_SCOPES` | `[]` | Required JWT scopes |
 | `MCP_JWT_DEBUG_ERRORS` | `False` | Log detailed JWT errors server-side (never exposed in HTTP responses per RFC 6750) |
 | `MCP_AUTH_FACTORY` | `None` | Custom auth provider factory `(flask_app) -> auth_provider`. Takes precedence over built-in JWT |
+| `MCP_USER_RESOLVER` | `None` | Custom function `(app, access_token) -> username` to extract a Superset username from a validated JWT token. When `None`, the default resolver checks `preferred_username`, `username`, `email`, and `sub` claims in that order. |
 
 ### Response Size Guard
 
@@ -600,6 +601,43 @@ MCP_STORE_CONFIG = {
 | `event_store_max_events` | `100` | Maximum events retained per session |
 | `event_store_ttl` | `3600` | Event TTL in seconds |
 
+### Tool Search
+
+By default the MCP server exposes a lightweight tool-search interface instead of advertising every tool at once. This reduces the initial context sent to the LLM by ~70%, which lowers cost and latency. The AI client discovers tools on demand by calling `search_tools` and then invokes them via `call_tool`.
+
+```python
+MCP_TOOL_SEARCH_CONFIG = {
+    "enabled": True,
+    "strategy": "bm25",        # "bm25" (natural language) or "regex"
+    "max_results": 5,
+    "always_visible": [        # Tools always listed (pinned)
+        "health_check",
+        "get_instance_info",
+    ],
+    "search_tool_name": "search_tools",
+    "call_tool_name": "call_tool",
+    "include_schemas": False,  # False=summary mode (name + parameters_hint)
+    "compact_schemas": True,   # Strip $defs (only applies when include_schemas=True)
+    "max_description_length": 300,
+}
+```
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `enabled` | `True` | Enable tool search. When `False`, all tools are listed upfront |
+| `strategy` | `"bm25"` | Search ranking algorithm. `"bm25"` supports natural language; `"regex"` supports pattern matching |
+| `max_results` | `5` | Maximum tools returned per search query |
+| `always_visible` | See above | Tools that always appear in `list_tools`, regardless of search |
+| `include_schemas` | `False` | When `False` (default, "summary mode"), search results omit `inputSchema` entirely and include a lightweight `parameters_hint` listing top-level parameter names. Set to `True` to include the full `inputSchema` in search results. Full schemas are always used when a tool is actually invoked via `call_tool`. |
+| `compact_schemas` | `True` | Strip `$defs` / `$ref` and replace with `{"type": "object"}` in search results to reduce token cost. Only takes effect when `include_schemas=True` — ignored in summary mode. |
+| `max_description_length` | `300` | Truncate tool descriptions in search results (0 = no truncation). Applies in both summary and full-schema modes. |
+
+:::tip
+Set `enabled: False` to revert to the traditional "show all tools at once" behavior, which some clients or workflows may prefer.
+:::
+
+Tool search reduces the initial token cost from ~15–20K tokens (full catalog) down to ~4–5K tokens (pinned tools + search interface) — roughly 85% savings at the start of each conversation.
+
 ### Session & CSRF
 
 These values are flat-merged into the Flask app config used by the MCP server process:
@@ -621,6 +659,102 @@ MCP_CSRF_CONFIG = {
 
 ---
 
+## Access Control
+
+### RBAC Enforcement
+
+The MCP server respects Superset's full role-based access control (RBAC). Every authenticated user can only access the data and operations their Superset roles permit — the same rules that apply in the Superset UI apply through MCP.
+
+Each tool declares one or more required FAB permissions. The table below maps tool groups to their permission requirements:
+
+| Tool group | Required FAB permission |
+|------------|------------------------|
+| `list_charts`, `get_chart_info`, `get_chart_data`, `get_chart_preview`, `generate_chart`, `update_chart` | `can_read` on `Chart` (read), `can_write` on `Chart` (mutate) |
+| `list_dashboards`, `get_dashboard_info`, `generate_dashboard`, `add_chart_to_existing_dashboard` | `can_read` on `Dashboard` (read), `can_write` on `Dashboard` (mutate) |
+| `list_datasets`, `get_dataset_info`, `create_virtual_dataset` | `can_read` on `Dataset` (read), `can_write` on `Dataset` (mutate) |
+| `list_databases`, `get_database_info` | `can_read` on `Database` |
+| `execute_sql` | `can_execute_sql_query` on `SQLLab` |
+| `open_sql_lab_with_context` | `can_read` on `SQLLab` |
+| `save_sql_query` | `can_write` on `SavedQuery` |
+| `health_check` | None (public) |
+
+To disable RBAC checking globally (for trusted-network deployments or testing), set:
+
+```python
+# superset_config.py
+MCP_RBAC_ENABLED = False
+```
+
+:::warning
+Disabling RBAC removes all permission checks from MCP tool calls. Only do this on isolated, internal deployments where all MCP users are trusted admins.
+:::
+
+### Audit Log
+
+All MCP tool calls are recorded in Superset's action log. You can view them at **Settings → Action Log** (admin only). Each log entry records:
+
+- The tool name (e.g., `mcp.generate_chart.db_write`)
+- The authenticated user
+- A timestamp
+
+This makes MCP activity fully auditable alongside regular Superset activity. The action log uses the same event logger as the rest of Superset, so existing log ingestion pipelines (e.g., sending logs to Elasticsearch or a SIEM) capture MCP events automatically.
+
+### Middleware Pipeline
+
+Every MCP request passes through a middleware stack before reaching the tool function. The default stack (assembled in `build_middleware_list()` in `server.py`) is:
+
+| Middleware | Purpose | Default |
+|------------|---------|---------|
+| `StructuredContentStripperMiddleware` | Strips `structuredContent` from responses for Claude.ai bridge compatibility | Enabled |
+| `LoggingMiddleware` | Logs each tool call with user, parameters, and duration | Enabled |
+| `GlobalErrorHandlerMiddleware` | Catches unhandled exceptions and sanitizes sensitive data before it reaches the client | Enabled |
+| `ResponseSizeGuardMiddleware` | Estimates token count, warns at 80% of limit, blocks at limit | Enabled (configurable via `MCP_RESPONSE_SIZE_CONFIG`) |
+| `ResponseCachingMiddleware` | Caches read-heavy tool responses (in-memory or Redis) | Disabled (enable via `MCP_CACHE_CONFIG`) |
+
+Additional middleware classes (`RateLimitMiddleware`, `FieldPermissionsMiddleware`, `PrivateToolMiddleware`) are implemented in `superset/mcp_service/middleware.py` but are not added to the default pipeline. They are available for operators who want to layer them in via a custom startup path.
+
+### Error Sanitization
+
+The `GlobalErrorHandlerMiddleware` automatically redacts sensitive information from all error messages before they reach the LLM client. The following are replaced with generic messages:
+
+- **Database connection strings** — replaced with a generic connection error message
+- **API keys and tokens** — redacted from error traces
+- **File system paths** — stripped to prevent information disclosure
+- **IP addresses** — removed from error context
+
+This ensures that a misconfigured database connection or an unexpected exception never leaks credentials or internal topology to the LLM or its users. All regex patterns used for redaction are bounded to prevent ReDoS attacks.
+
+---
+
+## Performance
+
+### Connection Pooling
+
+Each MCP server process maintains its own SQLAlchemy connection pool to the database. For multi-worker deployments, total open connections = **workers × pool size**.
+
+```python
+# superset_config.py
+SQLALCHEMY_POOL_SIZE = 5
+SQLALCHEMY_MAX_OVERFLOW = 10
+SQLALCHEMY_POOL_TIMEOUT = 30
+SQLALCHEMY_POOL_RECYCLE = 3600  # Recycle connections after 1 hour
+```
+
+For a 3-pod Kubernetes deployment with the defaults above, expect up to 3 × (5 + 10) = 45 connections. Size your database's `max_connections` accordingly.
+
+### Response Caching
+
+Enable response caching for read-heavy workloads (dashboards/datasets that don't change frequently). With the in-memory backend (default when `MCP_STORE_CONFIG` is disabled), caching is per-process. Use Redis-backed caching for consistent cache hits across multiple pods:
+
+```python
+MCP_CACHE_CONFIG = {"enabled": True, "call_tool_ttl": 3600}
+MCP_STORE_CONFIG = {"enabled": True, "CACHE_REDIS_URL": "redis://redis:6379/0"}
+```
+
+Mutating tools (`generate_chart`, `update_chart`, `execute_sql`, `generate_dashboard`) are always excluded from caching regardless of this setting.
+
+---
+
 ## Troubleshooting
 
 ### Server won't start

docs/admin_docs/configuration/theming.mdx

@@ -84,6 +84,35 @@ THEME_DARK = {
 # - OS preference detection is automatically enabled
 ```
 
+### App Branding
+
+The application name shown in the browser title bar and navigation can be
+set via the `brandAppName` theme token:
+
+```python
+THEME_DEFAULT = {
+    "token": {
+        "brandAppName": "Acme Analytics",
+        # ... other tokens
+    }
+}
+```
+
+Or in the theme CRUD UI JSON editor:
+
+```json
+{
+  "token": {
+    "brandAppName": "Acme Analytics"
+  }
+}
+```
+
+The existing `APP_NAME` Python config key continues to work for backward compatibility.
+`brandAppName` takes precedence when both are set, and allows different themes to carry different brand names.
+Email and alert/report notification subjects are driven by backend settings such as
+`EMAIL_REPORTS_SUBJECT_PREFIX` and `APP_NAME`, not by this theme token.
+
 ### Migration from Configuration to UI
 
 When `ENABLE_UI_THEME_ADMINISTRATION = True`:
@@ -312,11 +341,25 @@ Available chart types for `echartsOptionsOverridesByChartType`:
 - `echarts_heatmap` - Heatmaps
 - `echarts_mixed_timeseries` - Mixed time series
 
+### Array Property Overrides
+
+Array properties (such as color palettes) are fully supported in overrides. Arrays are **replaced entirely** rather than merged, so specify the complete array:
+
+```python
+THEME_DEFAULT = {
+    "token": { ... },
+    "echartsOptionsOverrides": {
+        # Replace the default color palette for all ECharts visualizations
+        "color": ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#8c564b"]
+    }
+}
+```
+
 ### Best Practices
 
 1. **Start with global overrides** for consistent styling across all charts
 2. **Use chart-specific overrides** for unique requirements per visualization type
-3. **Test thoroughly** as overrides use deep merge - nested objects are combined, but arrays are completely replaced
+3. **Test thoroughly** as overrides use deep merge for objects, but arrays are completely replaced — always specify the full array value
 4. **Document your overrides** to help team members understand custom styling
 5. **Consider performance** - complex overrides may impact chart rendering speed
 

docs/admin_docs/security/security.mdx

@@ -52,6 +52,15 @@ only see the objects that they have access to.
 The **sql_lab** role grants access to SQL Lab. Note that while **Admin** users have access
 to all databases by default, both **Alpha** and **Gamma** users need to be given access on a per database basis.
 
+Beyond the base `sql_lab` role, two additional SQL Lab permissions must be explicitly granted for users who need these capabilities:
+
+| Permission | Feature |
+|------------|---------|
+| `can_estimate_query_cost` on `SQLLab` | Estimate query cost before running |
+| `can_format_sql` on `SQLLab` | Format SQL using the database's dialect |
+
+Grant these in **Security → List Roles** by adding the permissions to the relevant role.
+
 ### Public
 
 The **Public** role is the most restrictive built-in role, designed specifically for anonymous/unauthenticated
@@ -182,6 +191,8 @@ However, it is crucial to understand the following:
 
 By combining Superset's configurable safeguards with strong database-level security practices, you can achieve a more robust and layered security posture.
 
+**Dataset Sample Access**: The `get_samples()` endpoint now enforces datasource-level access control. Users can only fetch sample rows from datasets they have been explicitly granted access to — the same permission check applied when running chart queries. This closes a prior gap where unauthenticated or under-privileged access could retrieve sample data.
+
 ### REST API for user & role management
 
 Flask-AppBuilder supports a REST API for user CRUD,
@@ -239,26 +250,143 @@ based on the roles and permissions that were attributed.
 ### Row Level Security
 
 Using Row Level Security filters (under the **Security** menu) you can create filters
-that are assigned to a particular table, as well as a set of roles.
+that are assigned to a particular dataset, as well as a set of roles.
 If you want members of the Finance team to only have access to
 rows where `department = "finance"`, you could:
 
 - Create a Row Level Security filter with that clause (`department = "finance"`)
-- Then assign the clause to the **Finance** role and the table it applies to
+- Then assign the clause to the **Finance** role and the dataset it applies to
 
 The **clause** field, which can contain arbitrary text, is then added to the generated
-SQL statement’s WHERE clause. So you could even do something like create a filter
+SQL statement's WHERE clause. So you could even do something like create a filter
 for the last 30 days and apply it to a specific role, with a clause
 like `date_field > DATE_SUB(NOW(), INTERVAL 30 DAY)`. It can also support
 multiple conditions: `client_id = 6` AND `advertiser="foo"`, etc.
 
-All relevant Row level security filters will be combined together (under the hood,
-the different SQL clauses are combined using AND statements). This means it's
-possible to create a situation where two roles conflict in such a way as to limit a table subset to empty.
+RLS clauses also support **Jinja templating** when `ENABLE_TEMPLATE_PROCESSING` is enabled, so you can write dynamic filters such as
+`user_id = '{{ current_username() }}'` to restrict rows based on the logged-in user.
 
-For example, the filters `client_id=4` and `client_id=5`, applied to a role,
-will result in users of that role having `client_id=4` AND `client_id=5`
-added to their query, which can never be true.
+#### Filter Types
+
+There are two types of RLS filters:
+
+- **Regular** — The filter clause is applied when the querying user belongs to one of the
+  roles assigned to the filter. Use this to restrict what specific roles can see.
+- **Base** — The filter clause is applied to **all** users _except_ those in the assigned
+  roles. Use this to define a default restriction that privileged roles (e.g. Admin) are
+  exempt from. For example, a Base filter with clause `1 = 0` and the Admin role would
+  hide all rows from everyone except Admin — useful as a deny-by-default baseline.
+
+#### Group Keys and Filter Combination
+
+All applicable RLS filters are combined before being added to the query. The combination
+rules are:
+
+- Filters that share the **same group key** are combined with **OR** (any match within
+  the group is sufficient).
+- Different filter groups (different group keys, or no group key) are combined with
+  **AND** (all groups must match).
+- Filters with **no group key** are each treated as their own group and are always AND'd.
+
+For example, if a dataset has three filters:
+
+| Filter | Clause | Group Key |
+|--------|--------|-----------|
+| F1 | `department = 'Finance'` | `department` |
+| F2 | `department = 'Marketing'` | `department` |
+| F3 | `region = 'Europe'` | `region` |
+
+The resulting WHERE clause would be:
+
+```sql
+(department = 'Finance' OR department = 'Marketing') AND (region = 'Europe')
+```
+
+:::caution Conflicting filters
+It is possible to create filters that conflict and produce an empty result set. For
+example, the filters `client_id = 4` and `client_id = 5` **without a shared group key**
+will be AND'd together, producing `client_id = 4 AND client_id = 5`, which can never
+be true.
+
+If you intend for these to be alternatives, assign them the **same group key** so they
+are OR'd instead.
+:::
+
+#### RLS and Virtual (SQL-Based) Datasets
+
+RLS filters are assigned to **datasets**, not to underlying database tables directly. This
+has important implications when working with virtual (SQL-based) datasets:
+
+- **Physical datasets** (backed directly by a table or view) — RLS filters assigned to
+  the dataset are added as WHERE clauses to the query.
+- **Virtual datasets** (defined by a custom SQL query) — RLS filters assigned directly to
+  the virtual dataset are applied to the _outer_ query that wraps the dataset's SQL.
+  Additionally, RLS filters on the **underlying physical datasets** referenced by the
+  virtual dataset's SQL are injected into the inner subquery for each referenced table.
+
+For example, if you have:
+
+1. A physical dataset `orders` with RLS filter `region = 'US'`
+2. A virtual dataset defined as `SELECT * FROM orders WHERE status = 'active'`
+
+A user affected by the RLS filter will effectively see:
+
+```sql
+SELECT * FROM (
+  SELECT * FROM orders WHERE (region = 'US') AND status = 'active'
+) ...
+```
+
+**Key considerations for virtual datasets:**
+
+- You generally do **not** need to duplicate RLS filters on both the physical and virtual
+  dataset — filters on the physical dataset are applied automatically at query time.
+- If you assign an RLS filter directly to a virtual dataset, the clause must reference
+  columns available in the virtual dataset's _output_, not necessarily the underlying
+  table's columns.
+- In **SQL Lab**, RLS is enforced only when the `RLS_IN_SQLLAB` feature flag is enabled:
+  queries run against tables that have associated datasets with RLS filters will then have
+  the appropriate predicates injected automatically.
+
+#### Checking RLS Filters via the API
+
+You can use the RLS REST API to audit which filters are configured and which datasets
+they affect. This requires the `can_read` permission on the `Row Level Security` resource.
+
+**List all RLS rules:**
+
+```
+GET /api/v1/rowlevelsecurity/
+```
+
+**Filter RLS rules for a specific dataset** (using [Rison](https://github.com/Nanonid/rison) query syntax):
+
+```
+GET /api/v1/rowlevelsecurity/?q=(filters:!((col:tables,opr:rel_m_m,value:<dataset_id>)))
+```
+
+**Filter RLS rules by role:**
+
+```
+GET /api/v1/rowlevelsecurity/?q=(filters:!((col:roles,opr:rel_m_m,value:<role_id>)))
+```
+
+**View details of a specific rule** (including clause, assigned datasets, and roles):
+
+```
+GET /api/v1/rowlevelsecurity/<id>
+```
+
+The response includes the filter's `name`, `filter_type` (Regular or Base), `clause`,
+`group_key`, assigned `tables` (with id, schema, and table\_name), and assigned `roles`
+(with id and name).
+
+:::tip Auditing RLS for virtual datasets
+To find all RLS rules that could affect a particular virtual dataset, query the list
+endpoint filtered by that dataset's ID for any directly-assigned rules. Then also check
+the physical datasets referenced in the virtual dataset's SQL, since their RLS filters
+are applied at query time too.
+:::
 
 ### User Sessions
 

docs/developer_docs/contributing/development-setup.md

@@ -485,7 +485,7 @@ Frontend assets (TypeScript, JavaScript, CSS, and images) must be compiled in or
 
 First, be sure you are using the following versions of Node.js and npm:
 
-- `Node.js`: Version 20
+- `Node.js`: Version 22 (LTS)
 - `npm`: Version 10
 
 We recommend using [nvm](https://github.com/nvm-sh/nvm) to manage your node environment:

docs/docs/using-superset/creating-your-first-dashboard.mdx

@@ -256,6 +256,34 @@ For example, when running the local development build, the following will disabl
 Top Nav and remove the Filter Bar:
 `http://localhost:8088/superset/dashboard/my-dashboard/?standalone=1&show_filters=0`
 
+### Table Chart Features
+
+The **Table** chart type has several advanced capabilities worth knowing:
+
+#### Conditional Formatting
+
+Conditional formatting rules highlight cells based on their values. Rules can be applied to:
+- **Numeric columns** — color cells above/below a threshold, or use a gradient across a range
+- **String columns** — highlight cells matching specific text values or patterns
+- **Boolean columns** — color cells that are `true` or `false`, or `null`/`not null`
+
+Each rule has a **"Use gradient"** toggle: enabled applies a varying opacity (lighter = further from threshold), disabled applies a solid fill at full opacity regardless of value.
+
+#### HTML Rendering in Table Cells
+
+Table chart cells can render raw HTML, enabling rich formatting such as hyperlinks, colored badges, and icons directly in the data. Enable this per-column in the chart's **Column Configuration** panel by toggling **Render HTML**.
+
+:::caution
+Only enable HTML rendering for columns sourced from data you control. Rendering untrusted HTML can expose users to cross-site scripting (XSS) risks.
+:::
+
+#### Column Header Tooltips
+
+Column headers display a tooltip with the column's **Description** from the dataset editor when the user hovers over them. Keep dataset column descriptions up to date to improve chart discoverability.
+
+#### Display Controls
+
+In dashboard view mode (without entering Edit mode), charts with configurable display options expose a **Display Controls** panel accessible from the chart's context menu. This surfaces controls such as Time Grain, Time Column, and layer visibility for applicable chart types — making it easy to adjust a chart's view without going to Explore.
 ### AG Grid Interactive Table
 
 The **AG Grid Interactive Table** chart type is Superset's fully-featured data grid, suitable for large paginated datasets where the standard Table chart is not enough.
@@ -314,6 +342,26 @@ ECharts option overrides bypass Superset's validation layer. Invalid option keys
 
 When the **Search Box** is visible in a Table chart, the **Download** action exports only the rows currently visible after the search filter is applied — not the full underlying dataset. This matches the visual output and is intentional. To export the full dataset regardless of search state, use the **Download as CSV** option from the chart's three-dot menu in the dashboard or from the Explore chart toolbar before applying a search filter.
 
+### Sharing a Specific Tab
+
+When a dashboard has tabs, each tab gets its own shareable URL. Navigate to the tab you want to share and copy the URL from your browser's address bar — the tab anchor is encoded in the URL so that anyone opening the link lands directly on that tab.
+
+### Auto-Refresh
+
+Dashboards can be configured to refresh automatically at a fixed interval without user interaction. Open a dashboard, click the **⋮** (more options) menu in the top-right, and select **Set auto-refresh interval**. Choose an interval (e.g., every 10 seconds, 1 minute, or 10 minutes). The setting is per-session and resets when you close the tab.
+
+:::note
+Auto-refresh triggers a full data reload for all charts on the dashboard. For dashboards with expensive queries, choose longer intervals to avoid overloading your database.
+:::
+
+### Last Queried Timestamp
+
+Charts can display a "Last queried at" timestamp showing when the chart data was last fetched. This is useful on auto-refreshing dashboards to confirm data freshness. Enable it in **Dashboard Properties → Styling → Show last queried time**.
+
+### Saving a Chart to a Specific Tab
+
+When saving or adding a chart to a dashboard from Explore, you can select which tab it should land on using the tab tree-select dropdown in the "Add to dashboard" modal.
+
 :::resources
 - [Dashboard Customization](https://docs.preset.io/docs/dashboard-customization) - Advanced dashboard styling and layout options
 - [Blog: BI Dashboard Best Practices](https://preset.io/blog/bi-dashboard-best-practices/)

docs/docs/using-superset/embedding.mdx

@@ -1,3 +1,8 @@
+---
+title: Embedding Superset
+sidebar_position: 6
+---
+
 {/*
 Licensed to the Apache Software Foundation (ASF) under one
 or more contributor license agreements.  See the NOTICE file
@@ -17,10 +22,6 @@ specific language governing permissions and limitations
 under the License.
 */}
 
----
-title: Embedding Superset
-sidebar_position: 6
----
 
 # Embedding Superset
 

docs/docs/using-superset/sql-templating.mdx

@@ -33,6 +33,29 @@ SQL templating must be enabled by your administrator via the `ENABLE_TEMPLATE_PR
 For advanced configuration options, see the [SQL Templating Configuration Guide](/admin-docs/configuration/sql-templating).
 :::
 
+## Using Jinja in Calculated Columns
+
+Jinja template macros are available in calculated column expressions in the dataset editor — not just in SQL Lab queries and virtual datasets. This allows column expressions to reference the current user or dynamic context.
+
+**Example: User-scoped calculated column**
+
+```sql
+CASE WHEN sales_rep = '{{ current_username() }}' THEN amount ELSE 0 END
+```
+
+**Example: Conditional display based on role**
+
+Because `current_user_roles()` returns a Python list, test role membership with a Jinja
+conditional at template time rather than matching against the list's string representation:
+
+```sql
+{% if 'Finance' in current_user_roles() %}revenue{% else %}NULL{% endif %} AS finance_revenue
+```
+
+:::note
+The `ENABLE_TEMPLATE_PROCESSING` feature flag must be enabled by your administrator for Jinja in calculated columns to work.
+:::
+
 ## Basic Usage
 
 Jinja templates use double curly braces `{{ }}` for expressions and `{% %}` for logic blocks.
@@ -243,6 +266,7 @@ Using `remove_filter=True` applies the filter in the inner query for better perf
 - Use `|tojson` to serialize arrays as JSON strings
 - Test queries with explicit parameter values before relying on filter context
 - For complex templating needs, ask your administrator about custom Jinja macros
+- **Format SQL is Jinja-aware**: The "Format SQL" button in SQL Lab correctly preserves `{{ }}` and `{% %}` template syntax and applies your selected database's SQL dialect when formatting.
 
 :::resources
 - [Admin Guide: SQL Templating Configuration](/admin-docs/configuration/sql-templating)

docs/docs/using-superset/using-ai-with-superset.mdx

@@ -55,9 +55,10 @@ Ask your AI assistant to browse what's available in your Superset instance:
 
 Describe the visualization you want and AI creates it for you:
 
+- **Preview-first workflow** -- by default AI generates an Explore link so you can review the chart before it is saved. Say "save it" to commit permanently
 - **Create charts from natural language** -- describe what you want to see and AI picks the right chart type, metrics, and dimensions
 - **Preview before saving** -- `generate_chart` defaults to `save_chart=False`, showing the chart in Explore before it's committed. Ask AI to save once you're satisfied.
-- **Modify existing charts** -- `update_chart` also supports preview mode so you can review changes before saving
+- **Modify existing charts** -- `update_chart` also supports preview mode so you can review changes before saving (update filters, change chart types, add metrics)
 - **Get Explore links** -- open any chart in Superset's Explore view for further refinement
 
 **Example prompts:**
@@ -65,6 +66,16 @@ Describe the visualization you want and AI creates it for you:
 > "Update chart 42 to use a line chart instead"
 > "Give me a link to explore this chart further"
 
+:::tip Preview-first workflow
+Charts are **not saved by default**. The workflow is intentionally iterative:
+
+1. **Explore** — AI generates an Explore link so you can see the chart before it exists in Superset
+2. **Iterate** — ask the AI to adjust the chart; changes are previewed without touching the database
+3. **Save** — when you're happy, say "save it" and the chart is permanently stored
+
+To skip the preview and save immediately, include "and save it" in your prompt.
+:::
+
 ### Create Dashboards
 
 Build dashboards from a collection of charts:
@@ -76,16 +87,40 @@ Build dashboards from a collection of charts:
 > "Create a dashboard called 'Q4 Sales Overview' with charts 10, 15, and 22"
 > "Add the revenue trend chart to the executive dashboard"
 
+### Browse Databases
+
+Discover what database connections are configured in your Superset instance:
+
+- **List databases** -- see all database connections you have access to
+- **Get database details** -- name, backend type (PostgreSQL, Snowflake, etc.), and connection status
+
+**Example prompts:**
+> "What databases are connected to Superset?"
+> "Show me details about the data warehouse connection"
+
+### Create Virtual Datasets
+
+Build ad-hoc SQL datasets that can be used as the basis for charts:
+
+- **Create virtual datasets** -- write a SQL query and save it as a reusable dataset
+- **Use immediately in charts** -- the returned dataset ID can be passed directly to chart creation
+
+**Example prompts:**
+> "Create a dataset from: SELECT region, SUM(revenue) as total_revenue FROM orders GROUP BY region"
+> "Make a virtual dataset called 'monthly_signups' from the users table filtered to last 12 months"
+
 ### Run SQL Queries
 
 Execute SQL directly through your AI assistant:
 
 - **Run queries** -- execute SQL with full Superset RBAC enforcement (you can only query data your roles allow)
 - **Open SQL Lab** -- get a link to SQL Lab pre-populated with a query, ready to run and explore
+- **Save queries** -- save a SQL query to SQL Lab's Saved Queries for later reuse
 
 **Example prompts:**
 > "Run this query: SELECT region, SUM(revenue) FROM sales GROUP BY region"
 > "Open SQL Lab with a query to show the top 10 customers by order count"
+> "Save this query as 'Weekly Revenue Report'"
 
 ### Analyze Chart Data
 

docs/docusaurus.config.ts

@@ -885,10 +885,8 @@ const config: Config = {
           ],
         },
         {
-          href: '/user-docs/',
+          type: 'custom-getStartedSplit',
           position: 'right',
-          className: 'default-button-theme get-started-button',
-          label: 'Get Started',
         },
         {
           href: 'https://github.com/apache/superset',

docs/package.json

@@ -40,7 +40,7 @@
     "version:remove:components": "node scripts/manage-versions.mjs remove components"
   },
   "dependencies": {
-    "@ant-design/icons": "^6.2.0",
+    "@ant-design/icons": "^6.2.2",
     "@docusaurus/core": "^3.10.0",
     "@docusaurus/faster": "^3.10.0",
     "@docusaurus/plugin-client-redirects": "^3.10.0",
@@ -67,9 +67,9 @@
     "@storybook/preview-api": "^8.6.18",
     "@storybook/theming": "^8.6.15",
     "@superset-ui/core": "^0.20.4",
-    "@swc/core": "^1.15.30",
+    "@swc/core": "^1.15.32",
     "antd": "^6.3.7",
-    "baseline-browser-mapping": "^2.10.23",
+    "baseline-browser-mapping": "^2.10.24",
     "caniuse-lite": "^1.0.30001791",
     "docusaurus-plugin-openapi-docs": "^5.0.1",
     "docusaurus-theme-openapi-docs": "^5.0.1",
@@ -86,7 +86,7 @@
     "remark-import-partial": "^0.0.2",
     "reselect": "^5.1.1",
     "storybook": "^8.6.18",
-    "swagger-ui-react": "^5.32.4",
+    "swagger-ui-react": "^5.32.5",
     "swc-loader": "^0.2.7",
     "tinycolor2": "^1.4.2",
     "unist-util-visit": "^5.1.0"
@@ -106,7 +106,7 @@
     "globals": "^17.5.0",
     "prettier": "^3.8.3",
     "typescript": "~6.0.3",
-    "typescript-eslint": "^8.59.0",
+    "typescript-eslint": "^8.59.1",
     "webpack": "^5.106.2"
   },
   "browserslist": {

docs/src/components/GetStartedSplitButton.tsx

@@ -0,0 +1,155 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import { DownOutlined } from '@ant-design/icons';
+import Link from '@docusaurus/Link';
+import { Dropdown } from 'antd';
+import type { MenuProps } from 'antd';
+import styled from '@emotion/styled';
+import { mq } from '../utils.js';
+
+const getStartedMenuItems: MenuProps['items'] = [
+  { key: 'users', label: <Link to="/user-docs/">Users</Link> },
+  { key: 'admins', label: <Link to="/admin-docs/">Admins</Link> },
+  { key: 'developers', label: <Link to="/developer-docs/">Developers</Link> },
+];
+
+const Root = styled.div<{ $variant: 'hero' | 'navbar' }>`
+  display: flex;
+  align-items: stretch;
+  border-radius: 10px;
+  overflow: hidden;
+  position: relative;
+  z-index: 2;
+  font-weight: bold;
+
+  ${({ $variant }) =>
+    $variant === 'hero'
+      ? `
+    width: 208px;
+    margin: 15px auto 0;
+    font-size: 20px;
+    ${mq[1]} {
+      font-size: 19px;
+      width: 214px;
+    }
+  `
+      : `
+    width: 176px;
+    margin-right: 20px;
+    font-size: 18px;
+  `}
+
+  .split-main {
+    flex: 1;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    color: #ffffff;
+    text-decoration: none;
+    min-width: 0;
+    ${({ $variant }) =>
+      $variant === 'hero'
+        ? `padding: 10px 10px;`
+        : `padding: 7px 8px;`}
+  }
+
+  .split-main:hover {
+    color: #ffffff;
+  }
+
+  .split-divider {
+    width: 1px;
+    flex-shrink: 0;
+    align-self: stretch;
+    background: rgba(255, 255, 255, 0.38);
+    ${({ $variant }) =>
+      $variant === 'hero'
+        ? `margin: 8px 0;`
+        : `margin: 6px 0;`}
+  }
+
+  .split-dropdown-trigger {
+    flex-shrink: 0;
+    border: none;
+    padding: 0;
+    margin: 0;
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: transparent;
+    color: #ffffff;
+    ${({ $variant }) =>
+      $variant === 'hero'
+        ? `
+      width: 44px;
+      font-size: 11px;
+      ${mq[1]} {
+        width: 46px;
+      }
+    `
+        : `
+      width: 38px;
+      font-size: 10px;
+    `}
+  }
+
+  .split-dropdown-trigger:hover {
+    color: #ffffff;
+  }
+`;
+
+export type GetStartedSplitButtonProps = {
+  variant: 'hero' | 'navbar';
+  /** Classes for the outer control (include default-button-theme get-started-split) */
+  rootClassName: string;
+};
+
+export default function GetStartedSplitButton({
+  variant,
+  rootClassName,
+}: GetStartedSplitButtonProps) {
+  const menuClassName = `get-started-split-dropdown-menu get-started-split-dropdown-menu--${variant}`;
+
+  return (
+    <Root $variant={variant} className={rootClassName}>
+      <Link to="/user-docs/" className="split-main">
+        Get Started
+      </Link>
+      <span className="split-divider" aria-hidden />
+      <Dropdown
+        menu={{
+          items: getStartedMenuItems,
+          className: menuClassName,
+        }}
+        trigger={['click']}
+        placement="bottomRight"
+      >
+        <button
+          type="button"
+          className="split-dropdown-trigger"
+          aria-haspopup="menu"
+          aria-label="Choose documentation: Users, Admins, or Developers"
+        >
+          <DownOutlined />
+        </button>
+      </Dropdown>
+    </Root>
+  );
+}

docs/src/pages/index.tsx

@@ -28,6 +28,7 @@ import databaseData from '../data/databases.json';
 import BlurredSection from '../components/BlurredSection';
 import DataSet from '../../../RESOURCES/INTHEWILD.yaml';
 import type { DatabaseData } from '../components/databases/types';
+import GetStartedSplitButton from '../components/GetStartedSplitButton';
 import '../styles/main.css';
 
 // Build database list from databases.json (databases with logos)
@@ -191,20 +192,6 @@ const StyledTitleContainer = styled('div')`
   }
 `;
 
-const StyledButton = styled(Link)`
-  border-radius: 10px;
-  font-size: 20px;
-  font-weight: bold;
-  width: 170px;
-  padding: 10px 0;
-  margin: 15px auto 0;
-  ${mq[1]} {
-    font-size: 19px;
-    width: 175px;
-    padding: 10px 0;
-  }
-`;
-
 const StyledScreenshotContainer = styled('div')`
   position: relative;
   display: inline-block;
@@ -717,9 +704,10 @@ export default function Home(): JSX.Element {
               </span>
             </div>
             <img src="/img/community/line.png" alt="line" />
-            <StyledButton className="default-button-theme" href="/user-docs/intro">
-              Get Started
-            </StyledButton>
+            <GetStartedSplitButton
+              variant="hero"
+              rootClassName="default-button-theme get-started-split"
+            />
           </div>
           <StyledScreenshotContainer>
             <img

docs/src/styles/main.css

@@ -105,6 +105,45 @@ a > span > svg {
   opacity: 1;
 }
 
+/* Homepage split "Get started": gradient button + chevron column */
+.default-button-theme.get-started-split {
+  display: flex;
+  padding: 0;
+}
+
+.get-started-split-dropdown-menu.ant-dropdown-menu {
+  background: linear-gradient(180deg, #20a7c9 0%, #0c8fae 100%) !important;
+  border: 1px solid rgba(255, 255, 255, 0.22);
+  box-shadow: 0 4px 14px rgba(0, 0, 0, 0.2) !important;
+}
+
+.get-started-split-dropdown-menu--hero.ant-dropdown-menu {
+  min-width: 208px;
+}
+
+@media (max-width: 768px) {
+  .get-started-split-dropdown-menu--hero.ant-dropdown-menu {
+    min-width: 214px;
+  }
+}
+
+.get-started-split-dropdown-menu--navbar.ant-dropdown-menu {
+  min-width: 176px;
+}
+
+.get-started-split-dropdown-menu .ant-dropdown-menu-item {
+  color: #ffffff !important;
+}
+
+.get-started-split-dropdown-menu .ant-dropdown-menu-item:hover,
+.get-started-split-dropdown-menu .ant-dropdown-menu-item-active {
+  background: rgba(255, 255, 255, 0.15) !important;
+}
+
+.get-started-split-dropdown-menu .ant-dropdown-menu-item a {
+  color: inherit !important;
+}
+
 /* Navbar */
 
 .navbar {
@@ -117,11 +156,14 @@ a > span > svg {
   border-radius: 10px;
   font-size: 18px;
   font-weight: bold;
-  width: 142px;
-  padding: 7px 0;
   margin-right: 20px;
 }
 
+.navbar .get-started-button.get-started-split {
+  width: 176px;
+  padding: 0;
+}
+
 .navbar .github-button {
   background-image: url('/img/github.png');
   background-size: contain;

docs/src/theme/NavbarItem/ComponentTypes.tsx

@@ -0,0 +1,41 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import DocNavbarItem from '@theme-original/NavbarItem/DocNavbarItem';
+import DocSidebarNavbarItem from '@theme-original/NavbarItem/DocSidebarNavbarItem';
+import DocsVersionDropdownNavbarItem from '@theme-original/NavbarItem/DocsVersionDropdownNavbarItem';
+import DocsVersionNavbarItem from '@theme-original/NavbarItem/DocsVersionNavbarItem';
+import DropdownNavbarItem from '@theme-original/NavbarItem/DropdownNavbarItem';
+import DefaultNavbarItem from '@theme-original/NavbarItem/DefaultNavbarItem';
+import HtmlNavbarItem from '@theme-original/NavbarItem/HtmlNavbarItem';
+import LocaleDropdownNavbarItem from '@theme-original/NavbarItem/LocaleDropdownNavbarItem';
+import SearchNavbarItem from '@theme-original/NavbarItem/SearchNavbarItem';
+import GetStartedSplitNavbarItem from './GetStartedSplitNavbarItem';
+
+export default {
+  default: DefaultNavbarItem,
+  localeDropdown: LocaleDropdownNavbarItem,
+  search: SearchNavbarItem,
+  dropdown: DropdownNavbarItem,
+  html: HtmlNavbarItem,
+  doc: DocNavbarItem,
+  docSidebar: DocSidebarNavbarItem,
+  docsVersion: DocsVersionNavbarItem,
+  docsVersionDropdown: DocsVersionDropdownNavbarItem,
+  'custom-getStartedSplit': GetStartedSplitNavbarItem,
+};

docs/src/theme/NavbarItem/GetStartedSplitNavbarItem.tsx

@@ -0,0 +1,29 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import GetStartedSplitButton from '../../components/GetStartedSplitButton';
+import '../../styles/main.css';
+
+export default function GetStartedSplitNavbarItem() {
+  return (
+    <GetStartedSplitButton
+      variant="navbar"
+      rootClassName="default-button-theme get-started-split get-started-button"
+    />
+  );
+}

docs/src/theme/Root.js

@@ -147,7 +147,9 @@ export default function Root({ children }) {
         const button = event.target.closest('.get-started-button, .default-button-theme');
         if (button) {
           const buttonText = button.textContent?.trim() || 'Unknown';
-          const href = button.getAttribute('href') || '';
+          const clickedLink = event.target.closest?.('a');
+          const href =
+            clickedLink?.getAttribute('href') || button.getAttribute('href') || '';
           trackEvent('CTA', 'Click', `${buttonText} - ${href}`);
         }
       };

pyproject.toml

@@ -70,13 +70,13 @@ dependencies = [
     # marshmallow>=4 has issues: https://github.com/apache/superset/issues/33162
     "marshmallow>=3.0, <4",
     "marshmallow-union>=0.1",
-    "msgpack>=1.0.0, <1.1",
+    "msgpack>=1.0.0, <1.2",
     "nh3>=0.2.11, <0.3",
     "numpy>1.23.5, <2.3",
     "packaging",
     # --------------------------
     # pandas and related (wanting pandas[performance] without numba as it's 100+MB and not needed)
-    "pandas[excel]>=2.1.4, <2.2",
+    "pandas[excel]>=2.1.4, <2.4",
     "bottleneck", # recommended performance dependency for pandas, see https://pandas.pydata.org/docs/getting_started/install.html#performance-dependencies-recommended
     # --------------------------
     "parsedatetime",
@@ -109,7 +109,7 @@ dependencies = [
     "watchdog>=6.0.0",
     "wtforms>=2.3.3, <4",
     "wtforms-json",
-    "xlsxwriter>=3.0.7, <3.1",
+    "xlsxwriter>=3.0.7, <3.3",
 ]
 
 [project.optional-dependencies]
@@ -145,7 +145,7 @@ solr = ["sqlalchemy-solr >= 0.2.0"]
 elasticsearch = ["elasticsearch-dbapi>=0.2.12, <0.3.0"]
 exasol = ["sqlalchemy-exasol >= 2.4.0, <3.0"]
 excel = ["xlrd>=1.2.0, <1.3"]
-fastmcp = ["fastmcp>=3.1.0,<4.0"]
+fastmcp = ["fastmcp>=3.2.4,<4.0"]
 firebird = ["sqlalchemy-firebird>=0.7.0, <0.8"]
 firebolt = ["firebolt-sqlalchemy>=1.0.0, <2"]
 gevent = ["gevent>=23.9.1"]
@@ -175,7 +175,7 @@ oracle = ["cx-Oracle>8.0.0, <8.1"]
 parseable = ["sqlalchemy-parseable>=0.1.3,<0.2.0"]
 pinot = ["pinotdb>=5.0.0, <6.0.0"]
 playwright = ["playwright>=1.37.0, <2"]
-postgres = ["psycopg2-binary==2.9.9"]
+postgres = ["psycopg2-binary==2.9.12"]
 presto = ["pyhive[presto]>=0.6.5"]
 trino = ["trino>=0.328.0"]
 prophet = ["prophet>=1.1.6, <2"]

requirements/base.txt

@@ -339,7 +339,7 @@ python-dateutil==2.9.0.post0
     #   holidays
     #   pandas
     #   shillelagh
-python-dotenv==1.1.0
+python-dotenv==1.2.2
     # via apache-superset (pyproject.toml)
 pytz==2025.2
     # via

requirements/development.txt

@@ -236,7 +236,7 @@ et-xmlfile==2.0.0
     #   openpyxl
 exceptiongroup==1.3.0
     # via fastmcp
-fastmcp==3.1.0
+fastmcp==3.2.4
     # via apache-superset
 filelock==3.20.3
     # via
@@ -379,6 +379,8 @@ greenlet==3.1.1
     #   gevent
     #   shillelagh
     #   sqlalchemy
+griffelib==2.0.2
+    # via fastmcp
 grpcio==1.71.0
     # via
     #   apache-superset
@@ -705,7 +707,7 @@ protobuf==4.25.8
     #   proto-plus
 psutil==6.1.0
     # via apache-superset
-psycopg2-binary==2.9.9
+psycopg2-binary==2.9.12
     # via apache-superset
 py-key-value-aio==0.4.4
     # via fastmcp
@@ -825,7 +827,7 @@ python-dateutil==2.9.0.post0
     #   pyhive
     #   shillelagh
     #   trino
-python-dotenv==1.1.0
+python-dotenv==1.2.2
     # via
     #   -c requirements/base-constraint.txt
     #   apache-superset

scripts/oxlint.sh

@@ -45,7 +45,17 @@ if [ ${#js_ts_files[@]} -gt 0 ]; then
   # Skip custom OXC build in pre-commit for speed
   export SKIP_CUSTOM_OXC=true
   # Use quiet mode in pre-commit to reduce noise (only show errors)
-  npx oxlint --config oxlint.json --fix --quiet "${js_ts_files[@]}"
+  # Capture output so we can treat "No files found" (all files ignored by
+  # ignorePatterns) as success rather than a false-positive failure.
+  output=$(npx oxlint --config oxlint.json --fix --quiet "${js_ts_files[@]}" 2>&1) || {
+    if echo "$output" | grep -q "No files found"; then
+      echo "No files to lint after applying ignore patterns"
+      exit 0
+    fi
+    echo "$output" >&2
+    exit 1
+  }
+  [ -n "$output" ] && echo "$output"
 else
   echo "No JavaScript/TypeScript files to lint"
 fi

superset-frontend/package.json

@@ -196,7 +196,7 @@
     "re-resizable": "^6.11.2",
     "react": "^17.0.2",
     "react-arborist": "^3.5.0",
-    "react-checkbox-tree": "^2.0.1",
+    "react-checkbox-tree": "^1.8.0",
     "react-diff-viewer-continued": "^4.2.2",
     "react-dnd": "^11.1.3",
     "react-dnd-html5-backend": "^11.1.3",
@@ -270,8 +270,8 @@
     "@storybook/test": "^8.6.18",
     "@storybook/test-runner": "^0.17.0",
     "@svgr/webpack": "^8.1.0",
-    "@swc/core": "^1.15.30",
-    "@swc/plugin-emotion": "^14.8.0",
+    "@swc/core": "^1.15.32",
+    "@swc/plugin-emotion": "^14.9.0",
     "@swc/plugin-transform-imports": "^12.5.0",
     "@testing-library/dom": "^8.20.1",
     "@testing-library/jest-dom": "^6.9.1",
@@ -299,7 +299,7 @@
     "@types/rison": "0.1.0",
     "@types/tinycolor2": "^1.4.3",
     "@types/unzipper": "^0.10.11",
-    "@typescript-eslint/eslint-plugin": "^8.59.0",
+    "@typescript-eslint/eslint-plugin": "^8.59.1",
     "@typescript-eslint/parser": "^8.58.2",
     "babel-jest": "^30.0.2",
     "babel-loader": "^10.1.1",
@@ -323,7 +323,7 @@
     "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-jest-dom": "^5.5.0",
     "eslint-plugin-lodash": "^7.4.0",
-    "eslint-plugin-no-only-tests": "^3.3.0",
+    "eslint-plugin-no-only-tests": "^3.4.0",
     "eslint-plugin-prettier": "^5.5.5",
     "eslint-plugin-react-prefer-function-component": "^5.0.0",
     "eslint-plugin-react-you-might-not-need-an-effect": "^0.9.3",
@@ -346,7 +346,7 @@
     "lightningcss": "^1.32.0",
     "mini-css-extract-plugin": "^2.10.2",
     "open-cli": "^9.0.0",
-    "oxlint": "^1.61.0",
+    "oxlint": "^1.62.0",
     "po2json": "^0.4.5",
     "prettier": "3.8.3",
     "prettier-plugin-packagejson": "^3.0.2",
@@ -361,7 +361,6 @@
     "style-loader": "^4.0.0",
     "swc-loader": "^0.2.7",
     "terser-webpack-plugin": "^5.5.0",
-    "thread-loader": "^4.0.4",
     "ts-jest": "^29.4.9",
     "tscw-config": "^1.1.2",
     "tsx": "^4.21.0",

superset-frontend/packages/generator-superset/package.json

@@ -30,7 +30,7 @@
   "dependencies": {
     "chalk": "^5.6.2",
     "lodash-es": "^4.18.1",
-    "yeoman-generator": "^8.1.2",
+    "yeoman-generator": "^8.2.2",
     "yosay": "^3.0.0"
   },
   "devDependencies": {

superset-frontend/packages/superset-core/src/theme/GlobalStyles.tsx

@@ -29,14 +29,20 @@ import '@fontsource/ibm-plex-mono/600.css';
 /* eslint-enable import/extensions */
 
 import { css, useTheme, Global } from '@emotion/react';
+import { useThemeMode } from './utils/themeUtils';
 
 export const GlobalStyles = () => {
   const theme = useTheme();
+  const isDark = useThemeMode();
   return (
     <Global
       key={`global-${theme.colorLink}`}
       styles={css`
         // SPA
+        html {
+          color-scheme: ${isDark ? 'dark' : 'light'};
+        }
+
         html,
         body,
         #app {

superset-frontend/packages/superset-ui-core/package.json

@@ -24,7 +24,7 @@
     "lib"
   ],
   "dependencies": {
-    "@ant-design/icons": "^6.1.1",
+    "@ant-design/icons": "^6.2.2",
     "@apache-superset/core": "*",
     "@babel/runtime": "^7.29.2",
     "@types/json-bigint": "^1.0.4",

superset-frontend/packages/superset-ui-core/src/components/Modal/Modal.tsx

@@ -55,132 +55,138 @@ export const StyledModal = styled(BaseModal)<StyledModalProps>`
     height,
     draggable,
     hideFooter,
-  }) => css`
-    ${responsive &&
-    css`
-      max-width: ${maxWidth ?? '900px'};
-      padding-left: ${theme.sizeUnit * 3}px;
-      padding-right: ${theme.sizeUnit * 3}px;
-      padding-bottom: 0;
-      top: 0;
-    `}
+  }) => {
+    const closeButtonWidth = theme.sizeUnit * 14;
 
-    .ant-modal-content {
-      background-color: ${theme.colorBgContainer};
-      display: flex;
-      flex-direction: column;
-      max-height: calc(100vh - ${theme.sizeUnit * 8}px);
-      margin-bottom: ${theme.sizeUnit * 4}px;
-      margin-top: ${theme.sizeUnit * 4}px;
-      padding: 0;
-    }
+    return css`
+      ${responsive &&
+      css`
+        max-width: ${maxWidth ?? '900px'};
+        padding-left: ${theme.sizeUnit * 3}px;
+        padding-right: ${theme.sizeUnit * 3}px;
+        padding-bottom: 0;
+        top: 0;
+      `}
 
-    .ant-modal-header {
-      flex: 0 0 auto;
-      border-radius: ${theme.borderRadius}px ${theme.borderRadius}px 0 0;
-      padding: ${theme.sizeUnit * 4}px ${theme.sizeUnit * 4}px;
-
-      .ant-modal-title {
-        font-weight: ${theme.fontWeightStrong};
-      }
-
-      .ant-modal-title h4 {
+      .ant-modal-content {
+        background-color: ${theme.colorBgContainer};
         display: flex;
-        margin: 0;
-        align-items: center;
+        flex-direction: column;
+        max-height: calc(100vh - ${theme.sizeUnit * 8}px);
+        margin-bottom: ${theme.sizeUnit * 4}px;
+        margin-top: ${theme.sizeUnit * 4}px;
+        padding: 0;
       }
-    }
 
-    .ant-modal-close {
-      width: ${theme.sizeUnit * 14}px;
-      height: ${theme.sizeUnit * 14}px;
-      padding: ${theme.sizeUnit * 6}px ${theme.sizeUnit * 4}px
-        ${theme.sizeUnit * 4}px;
-      top: 0;
-      right: 0;
-      display: flex;
-      justify-content: center;
-    }
+      .ant-modal-header {
+        flex: 0 0 auto;
+        border-radius: ${theme.borderRadius}px ${theme.borderRadius}px 0 0;
+        padding: ${theme.sizeUnit * 4}px ${closeButtonWidth}px
+          ${theme.sizeUnit * 4}px ${theme.sizeUnit * 4}px;
 
-    .ant-modal-close:hover {
-      background: transparent;
-    }
+        .ant-modal-title {
+          font-weight: ${theme.fontWeightStrong};
+        }
 
-    .ant-modal-close-x {
-      display: flex;
-      align-items: center;
-      [data-test='close-modal-btn'] {
+        .ant-modal-title h4 {
+          display: flex;
+          margin: 0;
+          align-items: center;
+        }
+      }
+
+      .ant-modal-close {
+        width: ${closeButtonWidth}px;
+        height: ${theme.sizeUnit * 14}px;
+        padding: ${theme.sizeUnit * 6}px ${theme.sizeUnit * 4}px
+          ${theme.sizeUnit * 4}px;
+        top: 0;
+        right: 0;
+        display: flex;
         justify-content: center;
       }
-      .close {
-        flex: 1 1 auto;
-        margin-bottom: ${theme.sizeUnit}px;
-        color: ${theme.colorPrimaryText};
-        font-weight: ${theme.fontWeightLight};
-      }
-    }
 
-    .ant-modal-body {
-      flex: 0 1 auto;
-      padding: ${theme.sizeUnit * 4}px ${theme.sizeUnit * 6}px;
-
-      overflow: auto;
-      ${!resizable && height && `height: ${height};`}
-    }
-
-    .ant-modal-footer {
-      flex: 0 0 1;
-      border-top: ${theme.sizeUnit / 4}px solid ${theme.colorSplit};
-      padding: ${theme.sizeUnit * 4}px;
-      margin-top: 0;
-
-      .btn {
-        font-size: 12px;
+      .ant-modal-close:hover {
+        background: transparent;
       }
 
-      .btn + .btn {
-        margin-left: ${theme.sizeUnit * 2}px;
+      .ant-modal-close-x {
+        display: flex;
+        align-items: center;
+        [data-test='close-modal-btn'] {
+          justify-content: center;
+        }
+        .close {
+          flex: 1 1 auto;
+          margin-bottom: ${theme.sizeUnit}px;
+          color: ${theme.colorPrimaryText};
+          font-weight: ${theme.fontWeightLight};
+        }
       }
-    }
 
-    &.no-content-padding .ant-modal-body {
-      padding: 0;
-    }
+      .ant-modal-body {
+        flex: 0 1 auto;
+        padding: ${theme.sizeUnit * 4}px ${theme.sizeUnit * 6}px;
 
-    ${draggable &&
-    css`
-      .ant-modal-header {
+        overflow: auto;
+        ${!resizable && height && `height: ${height};`}
+      }
+
+      .ant-modal-footer {
+        flex: 0 0 1;
+        border-top: ${theme.sizeUnit / 4}px solid ${theme.colorSplit};
+        padding: ${theme.sizeUnit * 4}px;
+        margin-top: 0;
+
+        .btn {
+          font-size: 12px;
+        }
+
+        .btn + .btn {
+          margin-left: ${theme.sizeUnit * 2}px;
+        }
+      }
+
+      &.no-content-padding .ant-modal-body {
         padding: 0;
-
-        .draggable-trigger {
-          cursor: move;
-          padding: ${theme.sizeUnit * 4}px;
-          width: 100%;
-        }
       }
-    `}
 
-    ${resizable &&
-    css`
-      .resizable {
-        pointer-events: all;
+      ${draggable &&
+      css`
+        .ant-modal-header {
+          padding: 0;
 
-        .resizable-wrapper {
-          height: 100%;
-        }
-
-        .ant-modal-content {
-          height: 100%;
-
-          .ant-modal-body {
-            height: ${hideFooter
-              ? `calc(100% - ${MODAL_HEADER_HEIGHT}px)`
-              : `calc(100% - ${MODAL_HEADER_HEIGHT}px - ${MODAL_FOOTER_HEIGHT}px)`};
+          .draggable-trigger {
+            cursor: move;
+            padding: ${theme.sizeUnit * 4}px ${closeButtonWidth}px
+              ${theme.sizeUnit * 4}px ${theme.sizeUnit * 4}px;
+            width: 100%;
           }
         }
-      }
-    `}
-  `}
+      `}
+
+      ${resizable &&
+      css`
+        .resizable {
+          pointer-events: all;
+
+          .resizable-wrapper {
+            height: 100%;
+          }
+
+          .ant-modal-content {
+            height: 100%;
+
+            .ant-modal-body {
+              height: ${hideFooter
+                ? `calc(100% - ${MODAL_HEADER_HEIGHT}px)`
+                : `calc(100% - ${MODAL_HEADER_HEIGHT}px - ${MODAL_FOOTER_HEIGHT}px)`};
+            }
+          }
+        }
+      `}
+    `;
+  }}
 `;
 
 const defaultResizableConfig = (hideFooter: boolean | undefined) => ({

superset-frontend/packages/superset-ui-core/src/connection/SupersetClient.ts

@@ -51,6 +51,7 @@ const SupersetClient: SupersetClientInterface = {
   reAuthenticate: () => getInstance().reAuthenticate(),
   request: request => getInstance().request(request),
   getCSRFToken: () => getInstance().getCSRFToken(),
+  getUrl: (...args) => getInstance().getUrl(...args),
 };
 
 export default SupersetClient;

superset-frontend/packages/superset-ui-core/src/connection/types.ts

@@ -158,6 +158,7 @@ export interface SupersetClientInterface extends Pick<
   | 'isAuthenticated'
   | 'reAuthenticate'
   | 'getGuestToken'
+  | 'getUrl'
 > {
   configure: (config?: ClientConfig) => SupersetClientInterface;
   reset: () => void;

superset-frontend/packages/superset-ui-core/src/time-format/TimeFormatter.ts

@@ -28,7 +28,7 @@ export const PREVIEW_TIME = new Date(Date.UTC(2017, 1, 14, 11, 22, 33));
 // Use type augmentation to indicate that
 // an instance of TimeFormatter is also a function
 interface TimeFormatter {
-  (value: Date | number | null | undefined): string;
+  (value: Date | number | string | null | undefined): string;
 }
 
 class TimeFormatter extends ExtensibleFunction {
@@ -49,7 +49,9 @@ class TimeFormatter extends ExtensibleFunction {
     formatFunc: TimeFormatFunction;
     useLocalTime?: boolean;
   }) {
-    super((value: Date | number | null | undefined) => this.format(value));
+    super((value: Date | number | string | null | undefined) =>
+      this.format(value),
+    );
 
     const {
       id = isRequired('config.id'),
@@ -66,7 +68,7 @@ class TimeFormatter extends ExtensibleFunction {
     this.useLocalTime = useLocalTime;
   }
 
-  format(value: Date | number | null | undefined) {
+  format(value: Date | number | string | null | undefined) {
     return stringifyTimeInput(value, time => this.formatFunc(time));
   }
 

superset-frontend/packages/superset-ui-core/src/time-format/utils/stringifyTimeInput.ts

@@ -18,12 +18,18 @@
  */
 
 export default function stringifyTimeInput(
-  value: Date | number | undefined | null,
+  value: Date | number | string | undefined | null,
   fn: (time: Date) => string,
 ) {
   if (value === null || value === undefined) {
     return `${value}`;
   }
 
+  if (typeof value === 'string') {
+    const trimmed = value.trim();
+    const isIntegerString = /^-?\d+$/.test(trimmed);
+    return fn(new Date(isIntegerString ? Number(trimmed) : value));
+  }
+
   return fn(value instanceof Date ? value : new Date(value));
 }

superset-frontend/packages/superset-ui-core/test/connection/SupersetClient.test.ts

@@ -31,33 +31,42 @@ describe('SupersetClient', () => {
 
   afterEach(() => SupersetClient.reset());
 
-  test('exposes reset, configure, init, get, post, postForm, isAuthenticated, and reAuthenticate methods', () => {
+  test('exposes configure, init, get, post, postForm, delete, put, request, reset, getGuestToken, getCSRFToken, getUrl, isAuthenticated, and reAuthenticate methods', () => {
     expect(typeof SupersetClient.configure).toBe('function');
     expect(typeof SupersetClient.init).toBe('function');
     expect(typeof SupersetClient.get).toBe('function');
     expect(typeof SupersetClient.post).toBe('function');
     expect(typeof SupersetClient.postForm).toBe('function');
-    expect(typeof SupersetClient.isAuthenticated).toBe('function');
-    expect(typeof SupersetClient.reAuthenticate).toBe('function');
-    expect(typeof SupersetClient.getGuestToken).toBe('function');
+    expect(typeof SupersetClient.delete).toBe('function');
+    expect(typeof SupersetClient.put).toBe('function');
     expect(typeof SupersetClient.request).toBe('function');
     expect(typeof SupersetClient.reset).toBe('function');
+    expect(typeof SupersetClient.getGuestToken).toBe('function');
+    expect(typeof SupersetClient.getCSRFToken).toBe('function');
+    expect(typeof SupersetClient.getUrl).toBe('function');
+    expect(typeof SupersetClient.isAuthenticated).toBe('function');
+    expect(typeof SupersetClient.reAuthenticate).toBe('function');
   });
 
-  test('throws if you call init, get, post, postForm, isAuthenticated, or reAuthenticate before configure', () => {
+  test('throws if you call init, get, post, postForm, delete, put, request, getGuestToken, getCSRFToken, getUrl, isAuthenticated, or reAuthenticate before configure', () => {
     expect(SupersetClient.init).toThrow();
     expect(SupersetClient.get).toThrow();
     expect(SupersetClient.post).toThrow();
     expect(SupersetClient.postForm).toThrow();
+    expect(SupersetClient.delete).toThrow();
+    expect(SupersetClient.put).toThrow();
+    expect(SupersetClient.request).toThrow();
+    expect(SupersetClient.getGuestToken).toThrow();
+    expect(SupersetClient.getCSRFToken).toThrow();
+    expect(SupersetClient.getUrl).toThrow();
     expect(SupersetClient.isAuthenticated).toThrow();
     expect(SupersetClient.reAuthenticate).toThrow();
-    expect(SupersetClient.request).toThrow();
     expect(SupersetClient.configure).not.toThrow();
   });
 
   // this also tests that the ^above doesn't throw if configure is called appropriately
   test('calls appropriate SupersetClient methods when configured', async () => {
-    expect.assertions(16);
+    expect.assertions(18);
     const mockGetUrl = '/mock/get/url';
     const mockPostUrl = '/mock/post/url';
     const mockRequestUrl = '/mock/request/url';
@@ -88,6 +97,13 @@ describe('SupersetClient', () => {
       SupersetClientClass.prototype,
       'getGuestToken',
     );
+    const getUrlSpy = jest.spyOn(SupersetClientClass.prototype, 'getUrl');
+
+    SupersetClient.configure({ appRoot: '/app' });
+    expect(SupersetClient.getUrl({ endpoint: '/some/path' })).toContain(
+      '/app/some/path',
+    );
+    expect(getUrlSpy).toHaveBeenCalledTimes(1);
 
     SupersetClient.configure({});
     await SupersetClient.init();
@@ -141,6 +157,7 @@ describe('SupersetClient', () => {
     postSpy.mockRestore();
     authenticatedSpy.mockRestore();
     csrfSpy.mockRestore();
+    getUrlSpy.mockRestore();
 
     fetchMock.clearHistory().removeRoutes();
   });

superset-frontend/packages/superset-ui-core/test/time-format/TimeFormatter.test.ts

@@ -67,6 +67,15 @@ describe('TimeFormatter', () => {
     test('handles number, treating it as a timestamp', () => {
       expect(formatter.format(PREVIEW_TIME.getTime())).toEqual('2017');
     });
+    test('handles numeric string, treating it as a timestamp', () => {
+      // PivotData.processRecord coerces values with String(), turning numeric
+      // timestamps into strings.
+      const timestamp = PREVIEW_TIME.getTime().toString();
+      expect(formatter.format(timestamp)).toEqual('2017');
+    });
+    test('handles ISO-8601 string without misinterpreting it as a number', () => {
+      expect(formatter.format('2017-02-14T11:22:33.000Z')).toEqual('2017');
+    });
     test('otherwise returns formatted value', () => {
       expect(formatter.format(PREVIEW_TIME)).toEqual('2017');
     });

superset-frontend/playwright/components/modals/ImportDatasetModal.ts

@@ -39,6 +39,24 @@ export class ImportDatasetModal extends Modal {
       .setInputFiles(filePath);
   }
 
+  /**
+   * Upload a file buffer to the import modal (no temp file needed)
+   * @param buffer - File contents as a Buffer
+   * @param fileName - Name to use for the uploaded file
+   */
+  async uploadFileBuffer(
+    buffer: Buffer,
+    fileName: string = 'dataset_export.zip',
+  ): Promise<void> {
+    await this.page
+      .locator(ImportDatasetModal.SELECTORS.FILE_INPUT)
+      .setInputFiles({
+        name: fileName,
+        mimeType: 'application/zip',
+        buffer,
+      });
+  }
+
   /**
    * Fill the overwrite confirmation input (only needed if dataset exists)
    */

superset-frontend/playwright/helpers/api/assertions.ts

@@ -17,9 +17,10 @@
  * under the License.
  */
 
-import type { Response, APIResponse } from '@playwright/test';
+import type { Page, Response, APIResponse } from '@playwright/test';
 import { expect } from '@playwright/test';
 import * as unzipper from 'unzipper';
+import { apiGet } from './requests';
 
 /**
  * Common interface for response types with status() method.
@@ -61,6 +62,35 @@ export function expectStatusOneOf<T extends ResponseLike>(
   return response;
 }
 
+/**
+ * Poll an API endpoint until it returns 404, confirming a resource was deleted.
+ * Shared across chart, dashboard, and dataset list tests.
+ * @param page - Playwright page instance (provides authentication context)
+ * @param endpoint - API endpoint path (e.g. 'api/v1/dataset/')
+ * @param id - Resource ID to check
+ * @param options - Optional timeout (default 10000ms) and label for error messages
+ */
+export async function expectDeleted(
+  page: Page,
+  endpoint: string,
+  id: number,
+  options?: { timeout?: number; label?: string },
+): Promise<void> {
+  const timeout = options?.timeout ?? 10000;
+  const label = options?.label ?? `Resource ${id}`;
+  await expect
+    .poll(
+      async () => {
+        const response = await apiGet(page, `${endpoint}${id}`, {
+          failOnStatusCode: false,
+        });
+        return response.status();
+      },
+      { timeout, message: `${label} should return 404 after delete` },
+    )
+    .toBe(404);
+}
+
 /**
  * Extract the resource ID from a JSON response body.
  * Handles both `{ result: { id } }` and `{ id }` shapes.

superset-frontend/playwright/helpers/api/dataset.ts

@@ -203,6 +203,21 @@ export async function apiDeleteDataset(
   return apiDelete(page, `${ENDPOINTS.DATASET}${datasetId}`, options);
 }
 
+/**
+ * Export datasets as a zip file via the API.
+ * Uses Rison encoding for the query parameter (required by the endpoint).
+ * @param page - Playwright page instance (provides authentication context)
+ * @param datasetIds - Array of dataset IDs to export
+ * @returns API response containing the export zip
+ */
+export async function apiExportDatasets(
+  page: Page,
+  datasetIds: number[],
+): Promise<APIResponse> {
+  const query = rison.encode(datasetIds);
+  return apiGet(page, `${ENDPOINTS.DATASET_EXPORT}?q=${query}`);
+}
+
 /**
  * Duplicate a dataset via the API
  * @param page - Playwright page instance (provides authentication context)

superset-frontend/playwright/helpers/api/sqllab.ts

@@ -0,0 +1,53 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+import { Page, APIResponse } from '@playwright/test';
+import { apiPost, ApiRequestOptions } from './requests';
+
+const ENDPOINTS = {
+  SQLLAB_EXECUTE: 'api/v1/sqllab/execute/',
+} as const;
+
+/**
+ * Execute a SQL query via SQL Lab API.
+ * Requires `allow_dml=True` on the target database for DDL/DML statements.
+ * @param page - Playwright page instance (provides authentication context)
+ * @param databaseId - ID of the database to execute against
+ * @param sql - SQL statement to execute
+ * @param schema - Optional schema context for the query
+ * @returns API response from SQL Lab execution
+ */
+export async function apiExecuteSql(
+  page: Page,
+  databaseId: number,
+  sql: string,
+  schema?: string,
+  options?: ApiRequestOptions,
+): Promise<APIResponse> {
+  return apiPost(
+    page,
+    ENDPOINTS.SQLLAB_EXECUTE,
+    {
+      database_id: databaseId,
+      sql,
+      schema: schema ?? null,
+    },
+    options,
+  );
+}

superset-frontend/playwright/pages/CreateDatasetPage.ts

@@ -32,7 +32,7 @@ export class CreateDatasetPage {
    */
   private static readonly SELECTORS = {
     DATABASE: '[data-test="select-database"]',
-    SCHEMA: '[data-test="Select schema or type to search schemas"]',
+    SCHEMA: '[data-test="Select schema"]',
     TABLE: '[data-test="Select table or type to search tables"]',
   } as const;
 

superset-frontend/playwright/tests/chart/chart-list.spec.ts

@@ -28,6 +28,7 @@ import { apiGetChart, ENDPOINTS } from '../../helpers/api/chart';
 import { createTestChart } from './chart-test-helpers';
 import { waitForGet, waitForPut } from '../../helpers/api/intercepts';
 import {
+  expectDeleted,
   expectStatusOneOf,
   expectValidExportZip,
 } from '../../helpers/api/assertions';
@@ -88,17 +89,9 @@ test('should delete a chart with confirmation', async ({
   await expect(chartListPage.getChartRow(chartName)).not.toBeVisible();
 
   // Backend verification: API returns 404
-  await expect
-    .poll(
-      async () => {
-        const response = await apiGetChart(page, chartId, {
-          failOnStatusCode: false,
-        });
-        return response.status();
-      },
-      { timeout: 10000, message: `Chart ${chartId} should return 404` },
-    )
-    .toBe(404);
+  await expectDeleted(page, ENDPOINTS.CHART, chartId, {
+    label: `Chart ${chartId}`,
+  });
 });
 
 test('should edit chart name via properties modal', async ({
@@ -246,17 +239,9 @@ test('should bulk delete multiple charts', async ({
 
   // Backend verification: Both return 404
   for (const chart of [chart1, chart2]) {
-    await expect
-      .poll(
-        async () => {
-          const response = await apiGetChart(page, chart.id, {
-            failOnStatusCode: false,
-          });
-          return response.status();
-        },
-        { timeout: 10000, message: `Chart ${chart.id} should return 404` },
-      )
-      .toBe(404);
+    await expectDeleted(page, ENDPOINTS.CHART, chart.id, {
+      label: `Chart ${chart.id}`,
+    });
   }
 });
 

superset-frontend/playwright/tests/dashboard/dashboard-list.spec.ts

@@ -25,7 +25,6 @@ import {
 } from '../../components/modals';
 import { Toast } from '../../components/core';
 import {
-  apiGetDashboard,
   apiDeleteDashboard,
   apiExportDashboards,
   getDashboardByName,
@@ -34,6 +33,7 @@ import {
 import { createTestDashboard } from './dashboard-test-helpers';
 import { waitForGet, waitForPost } from '../../helpers/api/intercepts';
 import {
+  expectDeleted,
   expectStatusOneOf,
   expectValidExportZip,
 } from '../../helpers/api/assertions';
@@ -97,17 +97,9 @@ test('should delete a dashboard with confirmation', async ({
   ).not.toBeVisible();
 
   // Backend verification: API returns 404
-  await expect
-    .poll(
-      async () => {
-        const response = await apiGetDashboard(page, dashboardId, {
-          failOnStatusCode: false,
-        });
-        return response.status();
-      },
-      { timeout: 10000, message: `Dashboard ${dashboardId} should return 404` },
-    )
-    .toBe(404);
+  await expectDeleted(page, ENDPOINTS.DASHBOARD, dashboardId, {
+    label: `Dashboard ${dashboardId}`,
+  });
 });
 
 test('should export a dashboard as a zip file', async ({
@@ -210,20 +202,9 @@ test('should bulk delete multiple dashboards', async ({
 
   // Backend verification: Both return 404
   for (const dashboard of [dashboard1, dashboard2]) {
-    await expect
-      .poll(
-        async () => {
-          const response = await apiGetDashboard(page, dashboard.id, {
-            failOnStatusCode: false,
-          });
-          return response.status();
-        },
-        {
-          timeout: 10000,
-          message: `Dashboard ${dashboard.id} should return 404`,
-        },
-      )
-      .toBe(404);
+    await expectDeleted(page, ENDPOINTS.DASHBOARD, dashboard.id, {
+      label: `Dashboard ${dashboard.id}`,
+    });
   }
 });
 
@@ -308,20 +289,9 @@ test.describe('import dashboard', () => {
     await apiDeleteDashboard(page, dashboardId);
 
     // Verify it's gone
-    await expect
-      .poll(
-        async () => {
-          const response = await apiGetDashboard(page, dashboardId, {
-            failOnStatusCode: false,
-          });
-          return response.status();
-        },
-        {
-          timeout: 10000,
-          message: `Dashboard ${dashboardId} should return 404 after delete`,
-        },
-      )
-      .toBe(404);
+    await expectDeleted(page, ENDPOINTS.DASHBOARD, dashboardId, {
+      label: `Dashboard ${dashboardId}`,
+    });
 
     // Refresh to confirm dashboard is no longer in the list
     await dashboardListPage.goto();

superset-frontend/playwright/tests/dataset/create-dataset.spec.ts

@@ -27,193 +27,190 @@ import { ChartCreationPage } from '../../pages/ChartCreationPage';
 import { ENDPOINTS } from '../../helpers/api/dataset';
 import { waitForPost } from '../../helpers/api/intercepts';
 import { expectStatusOneOf } from '../../helpers/api/assertions';
-import { apiPostDatabase } from '../../helpers/api/database';
+import { getDatabaseByName } from '../../helpers/api/database';
+import { apiExecuteSql } from '../../helpers/api/sqllab';
 
-interface GsheetsSetupResult {
-  sheetName: string;
-  dbName: string;
+interface ExamplesSetupResult {
+  tableName: string;
+  dbId: number;
   createDatasetPage: CreateDatasetPage;
 }
 
 /**
- * Sets up gsheets database and navigates to create dataset page.
- * Skips test if gsheets connector unavailable (test.skip() throws, so no return).
- * @param testInfo - Test info for parallelIndex to avoid name collisions in parallel runs
- * @returns Setup result with names and page object
+ * Creates a temporary table in the examples database via SQL Lab,
+ * then navigates to the create dataset wizard with it pre-selected.
+ *
+ * Requires `allow_dml=True` on the examples database (configured in CI setup).
+ *
+ * @param page - Playwright page instance
+ * @param testAssets - Test assets tracker for cleanup
+ * @param testInfo - Test info for parallelIndex to avoid name collisions
+ * @returns Setup result with table name, database ID, and page object
  */
-async function setupGsheetsDataset(
+async function setupExamplesDataset(
   page: Page,
-  testAssets: TestAssets,
+  _testAssets: TestAssets,
   testInfo: TestInfo,
-): Promise<GsheetsSetupResult> {
-  // Public Google Sheet for testing (published to web, no auth required).
-  // This is a Netflix dataset that is publicly accessible via the Google Visualization API.
-  // NOTE: This sheet is hosted on an external Google account and is not created by the test itself.
-  // If this sheet is deleted, its ID changes, or its sharing settings are restricted,
-  // these tests will start failing when they attempt to create a database pointing at it.
-  // In that case, create or select a new publicly readable test sheet, update `sheetUrl`
-  // to use its URL, and update this comment to describe who owns/maintains that sheet
-  // and the expected access controls (e.g., "anyone with the link can view").
-  const sheetUrl =
-    'https://docs.google.com/spreadsheets/d/19XNqckHGKGGPh83JGFdFGP4Bw9gdXeujq5EoIGwttdM/edit#gid=347941303';
-  // Include parallelIndex to avoid collisions when tests run in parallel
+): Promise<ExamplesSetupResult> {
+  // Look up the examples database (always available in CI via load_examples)
+  const examplesDb = await getDatabaseByName(page, 'examples');
+  if (!examplesDb) {
+    throw new Error(
+      'Examples database not found. Ensure "superset load_examples" has run.',
+    );
+  }
+  const dbId = examplesDb.id;
+
+  // Create a uniquely-named temporary table via SQL Lab
   const uniqueSuffix = `${Date.now()}_${testInfo.parallelIndex}`;
-  const sheetName = `test_netflix_${uniqueSuffix}`;
-  const dbName = `test_gsheets_db_${uniqueSuffix}`;
+  const tableName = `test_pw_${uniqueSuffix}`;
 
-  // Create a Google Sheets database via API
-  // The catalog must be in `extra` as JSON with engine_params.catalog format
-  const catalogDict = { [sheetName]: sheetUrl };
-  const createDbRes = await apiPostDatabase(page, {
-    database_name: dbName,
-    engine: 'gsheets',
-    sqlalchemy_uri: 'gsheets://',
-    configuration_method: 'dynamic_form',
-    expose_in_sqllab: true,
-    extra: JSON.stringify({
-      engine_params: {
-        catalog: catalogDict,
-      },
-    }),
-  });
-
-  // Check if gsheets connector is available
-  if (!createDbRes.ok()) {
-    const errorBody = await createDbRes.json();
-    const errorText = JSON.stringify(errorBody);
-    // Skip test if gsheets connector not installed
-    if (
-      errorText.includes('gsheets') ||
-      errorText.includes('No such DB engine')
-    ) {
-      await test.info().attach('skip-reason', {
-        body: `Google Sheets connector unavailable: ${errorText}`,
-        contentType: 'text/plain',
-      });
-      test.skip(); // throws, no return needed
-    }
-    throw new Error(`Failed to create gsheets database: ${errorText}`);
+  // CI examples DB is always PostgreSQL, so 'public' is the correct schema.
+  const createTableRes = await apiExecuteSql(
+    page,
+    dbId,
+    `CREATE TABLE ${tableName} AS SELECT 1 AS id, 'test' AS name`,
+    'public',
+  );
+  if (!createTableRes.ok()) {
+    const errorBody = await createTableRes.json().catch(() => ({}));
+    throw new Error(
+      `Failed to create temp table "${tableName}": ${JSON.stringify(errorBody)}`,
+    );
   }
 
-  const createDbBody = await createDbRes.json();
-  const dbId = createDbBody.result?.id ?? createDbBody.id;
-  if (!dbId) {
-    throw new Error('Database creation did not return an ID');
-  }
-  testAssets.trackDatabase(dbId);
-
   // Navigate to create dataset page
   const createDatasetPage = new CreateDatasetPage(page);
   await createDatasetPage.goto();
   await createDatasetPage.waitForPageLoad();
 
-  // Select the Google Sheets database
-  await createDatasetPage.selectDatabase(dbName);
+  // Select the examples database, public schema, and temp table.
+  // Schema is 'public' because the CI examples DB is always PostgreSQL.
+  await createDatasetPage.selectDatabase('examples');
+  await createDatasetPage.selectSchema('public');
+  await createDatasetPage.selectTable(tableName);
 
-  // Try to select the sheet - if not found due to timeout, skip
-  try {
-    await createDatasetPage.selectTable(sheetName);
-  } catch (error) {
-    // Only skip on TimeoutError (sheet not loaded); re-throw everything else
-    if (!(error instanceof Error) || error.name !== 'TimeoutError') {
-      throw error;
-    }
-    await test.info().attach('skip-reason', {
-      body: `Table "${sheetName}" not found in dropdown after timeout.`,
-      contentType: 'text/plain',
-    });
-    test.skip(); // throws, no return needed
-  }
-
-  return { sheetName, dbName, createDatasetPage };
+  return { tableName, dbId, createDatasetPage };
 }
 
-test('should create a dataset via wizard', async ({ page, testAssets }) => {
-  const { sheetName, createDatasetPage } = await setupGsheetsDataset(
+/**
+ * Drop a temporary table created during test setup.
+ * Uses failOnStatusCode: false so cleanup doesn't throw if the table was already removed.
+ */
+async function dropTempTable(
+  page: Page,
+  dbId: number,
+  tableName: string,
+): Promise<void> {
+  // Schema matches 'public' used in setupExamplesDataset (CI examples DB is PostgreSQL).
+  await apiExecuteSql(
     page,
-    testAssets,
-    test.info(),
+    dbId,
+    `DROP TABLE IF EXISTS ${tableName}`,
+    'public',
+    { failOnStatusCode: false },
   );
+}
 
-  // Set up response intercept to capture new dataset ID
-  const createResponsePromise = waitForPost(page, ENDPOINTS.DATASET, {
-    pathMatch: true,
+// Both tests create a temp table and use the dataset wizard, so they must run serially.
+// Uses test.describe only because Playwright's serial mode API requires it -
+// (Deviation from "avoid describe" guideline is necessary for functional reasons)
+test.describe('create dataset wizard', () => {
+  test.describe.configure({ mode: 'serial' });
+
+  test('should create a dataset via wizard', async ({ page, testAssets }) => {
+    const { tableName, dbId, createDatasetPage } = await setupExamplesDataset(
+      page,
+      testAssets,
+      test.info(),
+    );
+
+    // Set up response intercept to capture new dataset ID
+    const createResponsePromise = waitForPost(page, ENDPOINTS.DATASET, {
+      pathMatch: true,
+    });
+
+    // Click "Create and explore dataset" button
+    await createDatasetPage.clickCreateAndExploreDataset();
+
+    // Wait for dataset creation and capture ID for cleanup
+    const createResponse = expectStatusOneOf(
+      await createResponsePromise,
+      [200, 201],
+    );
+    const createBody = await createResponse.json();
+    const newDatasetId = createBody.result?.id ?? createBody.id;
+
+    if (newDatasetId) {
+      testAssets.trackDataset(newDatasetId);
+    }
+
+    // Verify we navigated to Chart Creation page with dataset pre-selected
+    await page.waitForURL(/.*\/chart\/add.*/);
+    const chartCreationPage = new ChartCreationPage(page);
+    await chartCreationPage.waitForPageLoad();
+
+    // Verify the dataset is pre-selected
+    await chartCreationPage.expectDatasetSelected(tableName);
+
+    // Select a visualization type and create chart
+    await chartCreationPage.selectVizType('Table');
+
+    // Click "Create new chart" to go to Explore
+    await chartCreationPage.clickCreateNewChart();
+
+    // Verify we navigated to Explore page
+    await page.waitForURL(/.*\/explore\/.*/);
+    const explorePage = new ExplorePage(page);
+    await explorePage.waitForPageLoad();
+
+    // Verify the dataset name is shown in Explore
+    const loadedDatasetName = await explorePage.getDatasetName();
+    expect(loadedDatasetName).toContain(tableName);
+
+    // Clean up temp table (dataset cleanup handled by testAssets)
+    await dropTempTable(page, dbId, tableName);
   });
 
-  // Click "Create and explore dataset" button
-  await createDatasetPage.clickCreateAndExploreDataset();
-
-  // Wait for dataset creation and capture ID for cleanup
-  const createResponse = expectStatusOneOf(
-    await createResponsePromise,
-    [200, 201],
-  );
-  const createBody = await createResponse.json();
-  const newDatasetId = createBody.result?.id ?? createBody.id;
-
-  if (newDatasetId) {
-    testAssets.trackDataset(newDatasetId);
-  }
-
-  // Verify we navigated to Chart Creation page with dataset pre-selected
-  await page.waitForURL(/.*\/chart\/add.*/);
-  const chartCreationPage = new ChartCreationPage(page);
-  await chartCreationPage.waitForPageLoad();
-
-  // Verify the dataset is pre-selected
-  await chartCreationPage.expectDatasetSelected(sheetName);
-
-  // Select a visualization type and create chart
-  await chartCreationPage.selectVizType('Table');
-
-  // Click "Create new chart" to go to Explore
-  await chartCreationPage.clickCreateNewChart();
-
-  // Verify we navigated to Explore page
-  await page.waitForURL(/.*\/explore\/.*/);
-  const explorePage = new ExplorePage(page);
-  await explorePage.waitForPageLoad();
-
-  // Verify the dataset name is shown in Explore
-  const loadedDatasetName = await explorePage.getDatasetName();
-  expect(loadedDatasetName).toContain(sheetName);
-});
-
-test('should create a dataset without exploring', async ({
-  page,
-  testAssets,
-}) => {
-  const { sheetName, createDatasetPage } = await setupGsheetsDataset(
+  test('should create a dataset without exploring', async ({
     page,
     testAssets,
-    test.info(),
-  );
+  }) => {
+    const { tableName, dbId, createDatasetPage } = await setupExamplesDataset(
+      page,
+      testAssets,
+      test.info(),
+    );
 
-  // Set up response intercept to capture dataset ID
-  const createResponsePromise = waitForPost(page, ENDPOINTS.DATASET, {
-    pathMatch: true,
+    // Set up response intercept to capture dataset ID
+    const createResponsePromise = waitForPost(page, ENDPOINTS.DATASET, {
+      pathMatch: true,
+    });
+
+    // Click "Create dataset" (not explore)
+    await createDatasetPage.clickCreateDataset();
+
+    // Capture dataset ID from response for cleanup
+    const createResponse = expectStatusOneOf(
+      await createResponsePromise,
+      [200, 201],
+    );
+    const createBody = await createResponse.json();
+    const datasetId = createBody.result?.id ?? createBody.id;
+    if (datasetId) {
+      testAssets.trackDataset(datasetId);
+    }
+
+    // Verify redirect to dataset list (not chart creation)
+    // Note: "Create dataset" action does not show a toast
+    await page.waitForURL(/.*tablemodelview\/list.*/);
+
+    // Wait for table load, verify row visible
+    const datasetListPage = new DatasetListPage(page);
+    await datasetListPage.waitForTableLoad();
+    await expect(datasetListPage.getDatasetRow(tableName)).toBeVisible();
+
+    // Clean up temp table (dataset cleanup handled by testAssets)
+    await dropTempTable(page, dbId, tableName);
   });
-
-  // Click "Create dataset" (not explore)
-  await createDatasetPage.clickCreateDataset();
-
-  // Capture dataset ID from response for cleanup
-  const createResponse = expectStatusOneOf(
-    await createResponsePromise,
-    [200, 201],
-  );
-  const createBody = await createResponse.json();
-  const datasetId = createBody.result?.id ?? createBody.id;
-  if (datasetId) {
-    testAssets.trackDataset(datasetId);
-  }
-
-  // Verify redirect to dataset list (not chart creation)
-  // Note: "Create dataset" action does not show a toast
-  await page.waitForURL(/.*tablemodelview\/list.*/);
-
-  // Wait for table load, verify row visible
-  const datasetListPage = new DatasetListPage(page);
-  await datasetListPage.waitForTableLoad();
-  await expect(datasetListPage.getDatasetRow(sheetName)).toBeVisible();
 });

superset-frontend/playwright/tests/dataset/dataset-list.spec.ts

@@ -18,7 +18,6 @@
  */
 
 import { testWithAssets, expect } from '../../helpers/fixtures';
-import path from 'path';
 import { DatasetListPage } from '../../pages/DatasetListPage';
 import { ExplorePage } from '../../pages/ExplorePage';
 import {
@@ -31,6 +30,7 @@ import {
 import { Toast } from '../../components/core';
 import {
   apiDeleteDataset,
+  apiExportDatasets,
   apiGetDataset,
   apiPostVirtualDataset,
   getDatasetByName,
@@ -43,6 +43,7 @@ import {
   waitForPut,
 } from '../../helpers/api/intercepts';
 import {
+  expectDeleted,
   expectStatusOneOf,
   expectValidExportZip,
 } from '../../helpers/api/assertions';
@@ -135,17 +136,9 @@ test('should delete a dataset with confirmation', async ({
   await expect(datasetListPage.getDatasetRow(datasetName)).not.toBeVisible();
 
   // Verify via API that dataset no longer exists (404)
-  await expect
-    .poll(
-      async () => {
-        const response = await apiGetDataset(page, datasetId, {
-          failOnStatusCode: false,
-        });
-        return response.status();
-      },
-      { timeout: 10000, message: `Dataset ${datasetId} should return 404` },
-    )
-    .toBe(404);
+  await expectDeleted(page, ENDPOINTS.DATASET, datasetId, {
+    label: `Dataset ${datasetId}`,
+  });
 });
 
 test('should duplicate a dataset with new name', async ({
@@ -420,34 +413,17 @@ test('should bulk delete multiple datasets', async ({
   await expect(datasetListPage.getDatasetRow(dataset2.name)).not.toBeVisible();
 
   // Verify via API that datasets no longer exist (404)
-  // Use polling with explicit timeout since deletes may be async
-  await expect
-    .poll(
-      async () => {
-        const response = await apiGetDataset(page, dataset1.id, {
-          failOnStatusCode: false,
-        });
-        return response.status();
-      },
-      { timeout: 10000, message: `Dataset ${dataset1.id} should return 404` },
-    )
-    .toBe(404);
-  await expect
-    .poll(
-      async () => {
-        const response = await apiGetDataset(page, dataset2.id, {
-          failOnStatusCode: false,
-        });
-        return response.status();
-      },
-      { timeout: 10000, message: `Dataset ${dataset2.id} should return 404` },
-    )
-    .toBe(404);
+  await expectDeleted(page, ENDPOINTS.DATASET, dataset1.id, {
+    label: `Dataset ${dataset1.id}`,
+  });
+  await expectDeleted(page, ENDPOINTS.DATASET, dataset2.id, {
+    label: `Dataset ${dataset2.id}`,
+  });
 });
 
-// Import test uses a fixed dataset name from the zip fixture.
+// Import test uses export-then-reimport approach (no static fixture needed).
 // Uses test.describe only because Playwright's serial mode API requires it -
-// this prevents race conditions when parallel workers import the same fixture.
+// this prevents race conditions when parallel workers import the same dataset.
 // (Deviation from "avoid describe" guideline is necessary for functional reasons)
 test.describe('import dataset', () => {
   test.describe.configure({ mode: 'serial' });
@@ -456,22 +432,33 @@ test.describe('import dataset', () => {
     datasetListPage,
     testAssets,
   }) => {
-    // Dataset name from fixture (test_netflix_1768502050965)
-    // Note: Fixture contains a Google Sheets dataset backed by shillelagh[gsheetsapi],
-    // which is a base dependency — import failure fails the test hard (no skip).
-    const importedDatasetName = 'test_netflix_1768502050965';
-    const fixturePath = path.resolve(
-      __dirname,
-      '../../fixtures/dataset_export.zip',
+    test.setTimeout(60_000);
+
+    // Create a dataset, export it via API, then delete it, then reimport via UI
+    const { id: datasetId, name: datasetName } = await createTestDataset(
+      page,
+      testAssets,
+      test.info(),
+      { prefix: 'test_import' },
     );
 
-    // Cleanup: Delete any existing dataset with the same name from previous runs
-    const existingDataset = await getDatasetByName(page, importedDatasetName);
-    if (existingDataset) {
-      await apiDeleteDataset(page, existingDataset.id, {
-        failOnStatusCode: false,
-      });
-    }
+    // Export the dataset via API to get a zip buffer
+    const exportResponse = await apiExportDatasets(page, [datasetId]);
+    expect(exportResponse.ok()).toBe(true);
+    const exportBuffer = await exportResponse.body();
+
+    // Delete the dataset so reimport creates it fresh
+    await apiDeleteDataset(page, datasetId);
+
+    // Verify it's gone
+    await expectDeleted(page, ENDPOINTS.DATASET, datasetId, {
+      label: `Dataset ${datasetId}`,
+    });
+
+    // Refresh to confirm dataset is no longer in the list
+    await datasetListPage.goto();
+    await datasetListPage.waitForTableLoad();
+    await expect(datasetListPage.getDatasetRow(datasetName)).not.toBeVisible();
 
     // Click the import button
     await datasetListPage.clickImportButton();
@@ -480,11 +467,10 @@ test.describe('import dataset', () => {
     const importModal = new ImportDatasetModal(page);
     await importModal.waitForReady();
 
-    // Upload the fixture zip file
-    await importModal.uploadFile(fixturePath);
+    // Upload the exported zip via buffer (no temp file needed)
+    await importModal.uploadFileBuffer(exportBuffer);
 
     // Set up response intercept to catch the import POST
-    // Use pathMatch to avoid false matches if URL lacks trailing slash
     let importResponsePromise = waitForPost(page, ENDPOINTS.DATASET_IMPORT, {
       pathMatch: true,
     });
@@ -496,35 +482,27 @@ test.describe('import dataset', () => {
     let importResponse = await importResponsePromise;
 
     // Handle overwrite confirmation if dataset already exists
-    // First response may be 409/422 indicating overwrite is required - this is expected
+    // First response may be 409/422 indicating overwrite is required
     const overwriteInput = importModal.getOverwriteInput();
     await overwriteInput
       .waitFor({ state: 'visible', timeout: 3000 })
       .catch(error => {
-        // Only ignore TimeoutError (input not visible); re-throw other errors
         if (!(error instanceof Error) || error.name !== 'TimeoutError') {
           throw error;
         }
       });
 
     if (await overwriteInput.isVisible()) {
-      // Set up new intercept for the actual import after overwrite confirmation
       importResponsePromise = waitForPost(page, ENDPOINTS.DATASET_IMPORT, {
         pathMatch: true,
       });
       await importModal.fillOverwriteConfirmation();
       await importModal.clickImport();
-      // Wait for the second (final) import response
       importResponse = await importResponsePromise;
     }
 
-    // Fail hard if dataset import fails.
-    // The fixture contains a gsheets dataset; shillelagh[gsheetsapi] is a base
-    // dependency (pyproject.toml), so the engine is always available in CI.
-    if (!importResponse.ok()) {
-      const errorBody = await importResponse.json().catch(() => ({}));
-      throw new Error(`Import failed: ${JSON.stringify(errorBody)}`);
-    }
+    // Verify import succeeded
+    expectStatusOneOf(importResponse, [200]);
 
     // Modal should close on success
     await importModal.waitForHidden({ timeout: TIMEOUT.FILE_IMPORT });
@@ -533,19 +511,19 @@ test.describe('import dataset', () => {
     const toast = new Toast(page);
     await expect(toast.getSuccess()).toBeVisible({ timeout: 10000 });
 
-    // Refresh the page to see the imported dataset
+    // Refresh to see the imported dataset
     await datasetListPage.goto();
     await datasetListPage.waitForTableLoad();
 
     // Verify dataset appears in list
-    await expect(
-      datasetListPage.getDatasetRow(importedDatasetName),
-    ).toBeVisible();
+    await expect(datasetListPage.getDatasetRow(datasetName)).toBeVisible();
 
-    // Get dataset ID for cleanup
-    const importedDataset = await getDatasetByName(page, importedDatasetName);
-    expect(importedDataset).not.toBeNull();
-    testAssets.trackDataset(importedDataset!.id);
+    // Track for cleanup: the dataset import API returns {"message": "OK"}
+    // with no ID, so look up the reimported dataset by name.
+    const reimported = await getDatasetByName(page, datasetName);
+    if (reimported) {
+      testAssets.trackDataset(reimported.id);
+    }
   });
 });
 

superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/algeria.geojson

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superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/chad.geojson

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superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/cook_islands.geojson

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superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/libya.geojson

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superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/somalia.geojson

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