ChartDataPostProcessingOperationSchema accepted `options` as a free-form Dict;
the per-operation option schemas (aggregate, rolling, prophet, pivot, ...)
existed only for OpenAPI docs and were never wired into validation.
Add a validates_schema hook that maps each operation to its option schema and
validates `options` against it. Validation is lenient (unknown=EXCLUDE) so it
surfaces wrong types / out-of-range values on declared fields without rejecting
payloads that carry extra keys; operations without a dedicated schema are
unaffected.
DRAFT: these option schemas were never used for validation and have latent
issues (e.g. ChartDataAggregateOptionsSchema.groupby is accidentally a tuple,
so it isn't validated). Each option schema should be audited against the real
pandas_postprocessing signatures before strict (unknown=RAISE) validation is
considered, to avoid rejecting currently-valid requests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: codeant-ai-for-open-source[bot] <244253245+codeant-ai-for-open-source[bot]@users.noreply.github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Joe Li <joe@preset.io>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: codeant-ai-for-open-source[bot] <244253245+codeant-ai-for-open-source[bot]@users.noreply.github.com>
Co-authored-by: Diego Pucci <diegopucci.me@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: codeant-ai-for-open-source[bot] <244253245+codeant-ai-for-open-source[bot]@users.noreply.github.com>
We kindly ask you to include the following information in your report:
- Apache Superset version that you are using
- A sanitized copy of your `superset_config.py` file or any config overrides
-Detailed steps to reproduce the vulnerability
**Submission Standards & AI Policy**
To ensure engineering focus remains on verified risks and to manage high reporting volumes, all reports must meet the following criteria:
-Plain Text Format: In accordance with Apache guidelines, please provide all details in plain text within the email body. Avoid sending PDFs, Word documents, or password-protected archives.
- Mandatory AI Disclosure: If you utilized Large Language Models (LLMs) or AI tools to identify a flaw or assist in writing a report, you must disclose this in your submission so our triage team can contextualize the findings.
- Human-Verified PoC: All submissions must include a manual, step-by-step Proof of Concept (PoC) performed on a supported release. Raw AI outputs, hypothetical chat transcripts, or unverified scanner logs will be closed as Invalid.
We kindly ask you to include the following information in your report to assist our developers in triaging and remediating issues efficiently:
- Version/Commit: The specific version of Apache Superset or the Git commit hash you are using.
- Configuration: A sanitized copy of your `superset_config.py` file or any config overrides.
- Environment: Your deployment method (e.g., Docker Compose, Helm, or source) and relevant OS/Browser details.
- Impacted Component: Identification of the affected area (e.g., Python backend, React frontend, or a specific database connector).
- Expected vs. Actual Behavior: A clear description of the intended system behavior versus the observed vulnerability.
- Detailed Reproduction Steps: Clear, manual steps to reproduce the vulnerability.
**Out of Scope Vulnerabilities**
To prioritize engineering efforts on genuine architectural risks, the following scenarios are explicitly out of scope and will not be issued a CVE:
- Attacks requiring Admin privileges: (e.g., CSS injection, template manipulation, dashboard ownership overrides, or modifying global system settings). Per the CVE vulnerability definition in CNA Operational Rules 4.1, a qualifying vulnerability must allow violation of a security policy. The Admin role is a fully trusted operational boundary defined by Apache Superset's security policy; actions within this boundary do not violate that policy and are therefore considered intended capabilities 'by design,' not vulnerabilities.
- Brute Force and Rate Limiting: Reports targeting a lack of resource exhaustion protections, generic rate-limiting, or volumetric Denial of Service (DoS) attempts.
- Theoretical attack vectors: Issues without a demonstrable, reproducible exploit path.
- Non-Exploitable Findings: Missing security headers, generic banner disclosures, or descriptive error messages that do not lead to a direct, documented exploit.
**Outcome of Reports**
Reports that are deemed out-of-scope for a CVE but represent valid security best practices or hardening opportunities may be converted into public GitHub issues. This allows the community to contribute to the general hardening of the platform even when a specific vulnerability threshold is not met.
Note that Apache Superset is not responsible for any third-party dependencies that may
have security issues. Any vulnerabilities found in third-party dependencies should be
@@ -29,6 +51,13 @@ reported to the maintainers of those projects. Results from security scans of Ap
Superset dependencies found on its official Docker image can be remediated at release time
by extending the image itself.
**Vulnerability Aggregation & CVE Attribution**
In accordance with MITRE CNA Operational Rules (4.1.10, 4.1.11, and 4.2.13), Apache Superset issues CVEs based on the underlying architectural root cause rather than the number of affected endpoints or exploit payloads.
- Aggregation: If multiple exploit vectors stem from the same programmatic failure or shared vulnerable code, they must be aggregated into a single, comprehensive report.
- Independent Fixes: Separate CVEs will only be assigned if the vulnerabilities reside in decoupled architectural modules and can be fixed independently of one another.
Reports that fail to aggregate related findings will be merged during triage to ensure an accurate and defensible CVE record.
**Your responsible disclosure and collaboration are invaluable.**
`❗ @${pull.user.login} Your base branch \`${currentBranch}\` has ` +
'also updated `superset/migrations`.\n' +
'\n' +
'**Please consider rebasing your branch and [resolving potential db migration conflicts](https://github.com/apache/superset/blob/master/CONTRIBUTING.md#merging-db-migrations).**',
'**Please consider rebasing your branch and [resolving potential db migration conflicts](https://superset.apache.org/docs/contributing/development#merging-db-migrations).**',
Looks like your PR contains new `.js` or `.jsx` files:
```
${{steps.check.outputs.js_files_added}}
```
As decided in [SIP-36](https://github.com/apache/superset/issues/9101), all new frontend code should be written in TypeScript. Please convert above files to TypeScript then re-request review.
A modern, enterprise-ready business intelligence web application.
### Documentation
- **[User Guide](https://superset.apache.org/user-docs/)** — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
- **[Administrator Guide](https://superset.apache.org/admin-docs/)** — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
- **[Developer Guide](https://superset.apache.org/developer-docs/)** — Contribute to Superset or build on its REST API and extension framework.
[**Why Superset?**](#why-superset) |
[**Supported Databases**](#supported-databases) |
[**Installation and Configuration**](#installation-and-configuration) |
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/configuration/databases)) that has a Python DB-API driver and a SQLAlchemy dialect.
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/databases)) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/configuration/databases).
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases).
Want to add support for your datastore or data engine? Read more [here](https://superset.apache.org/docs/frequently-asked-questions#does-superset-work-with-insert-database-engine-here) about the technical requirements.
@@ -150,14 +195,14 @@ Try out Superset's [quickstart](https://superset.apache.org/docs/quickstart/) gu
to find resources around contributing along with a detailed guide on
how to set up a development environment.
## Resources
- [Superset "In the Wild"](https://github.com/apache/superset/blob/master/RESOURCES/INTHEWILD.md) - open a PR to add your org to the list!
- [Feature Flags](https://github.com/apache/superset/blob/master/RESOURCES/FEATURE_FLAGS.md) - the status of Superset's Feature Flags.
- [Superset "In the Wild"](https://superset.apache.org/inTheWild) - see who's using Superset, and [add your organization](https://github.com/apache/superset/edit/master/RESOURCES/INTHEWILD.yaml) to the list!
- [Feature Flags](https://superset.apache.org/docs/configuration/feature-flags) - the status of Superset's Feature Flags.
- [Standard Roles](https://github.com/apache/superset/blob/master/RESOURCES/STANDARD_ROLES.md) - How RBAC permissions map to roles.
- [Superset Wiki](https://github.com/apache/superset/wiki) - Tons of additional community resources: best practices, community content and other information.
- [Superset SIPs](https://github.com/orgs/apache/projects/170) - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.
# Part 2: Verify RSA key - this is the same as running `gpg --verify {release}.asc {release}` and comparing the RSA key and email address against the KEYS file # noqa: E501
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.
-->
# Superset Feature Flags
This is a list of the current Superset optional features. See config.py for default values. These features can be turned on/off by setting your preferred values in superset_config.py to True/False respectively
## In Development
These features are considered **unfinished** and should only be used on development environments.
[//]: # "PLEASE KEEP THE LIST SORTED ALPHABETICALLY"
- ALERT_REPORT_TABS
- DATE_RANGE_TIMESHIFTS_ENABLED
- ENABLE_ADVANCED_DATA_TYPES
- PRESTO_EXPAND_DATA
- SHARE_QUERIES_VIA_KV_STORE
- TAGGING_SYSTEM
- CHART_PLUGINS_EXPERIMENTAL
## In Testing
These features are **finished** but currently being tested. They are usable, but may still contain some bugs.
[//]: # "PLEASE KEEP THE LIST SORTED ALPHABETICALLY"
These features flags currently default to True and **will be removed in a future major release**. For this current release you can turn them off by setting your config to False, but it is advised to remove or set these flags in your local configuration to **True** so that you do not experience any unexpected changes in a future release.
[//]: # "PLEASE KEEP THE LIST SORTED ALPHABETICALLY"
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.
-->
## Superset Users in the Wild
Here's a list of organizations, broken down into broad industry categories, that have taken the time to send a PR to let
the world know they are using Apache Superset. If you are a user and want to be recognized,
all you have to do is file a simple PR [like this one](https://github.com/apache/superset/pull/10122) — [just click here](https://github.com/apache/superset/edit/master/RESOURCES/INTHEWILD.md) to do so. If you think
the categorization is inaccurate, please file a PR with your correction as well.
| Permission/role description |Admins have all possible rights, including granting or revoking rights from other users and altering other people’s slices and dashboards.|Alpha users have access to all data sources, but they cannot grant or revoke access from other users. They are also limited to altering the objects that they own. Alpha users can add and alter data sources.|Gamma users have limited access. They can only consume data coming from data sources they have been given access to through another complementary role. They only have access to view the slices and dashboards made from data sources that they have access to. Currently Gamma users are not able to alter or add data sources. We assume that they are mostly content consumers, though they can create slices and dashboards.|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.||
| can read on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can write on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can read on CssTemplate |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on CssTemplate |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on ReportSchedule |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on ReportSchedule |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on Annotation |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Annotation |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on Dataset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on Log|:heavy_check_mark:|O|O|O|
| can write on Log |:heavy_check_mark:|O|O|O|
| can read on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on Database |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can write on Database |:heavy_check_mark:|O|O|O|
| can read on Query |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can this form get on ResetPasswordView |:heavy_check_mark:|O|O|O|
| can this form post on ResetPasswordView |:heavy_check_mark:|O|O|O|
| can this form get on ResetMyPasswordView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can this form post on ResetMyPasswordView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can this form get on UserInfoEditView |:heavy_check_mark:|O|O|O|
| can this form post on UserInfoEditView |:heavy_check_mark:|O|O|O|
| can show on UserDBModelView |:heavy_check_mark:|O|O|O|
| can edit on UserDBModelView |:heavy_check_mark:|O|O|O|
| can delete on UserDBModelView |:heavy_check_mark:|O|O|O|
| can add on UserDBModelView |:heavy_check_mark:|O|O|O|
| can list on UserDBModelView |:heavy_check_mark:|O|O|O|
| can userinfo on UserDBModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| resetmypassword on UserDBModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| resetpasswords on UserDBModelView |:heavy_check_mark:|O|O|O|
| userinfoedit on UserDBModelView |:heavy_check_mark:|O|O|O|
| can show on RoleModelView |:heavy_check_mark:|O|O|O|
| can edit on RoleModelView |:heavy_check_mark:|O|O|O|
| can delete on RoleModelView |:heavy_check_mark:|O|O|O|
| can add on RoleModelView |:heavy_check_mark:|O|O|O|
| can list on RoleModelView |:heavy_check_mark:|O|O|O|
| copyrole on RoleModelView |:heavy_check_mark:|O|O|O|
| can get on OpenApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on SwaggerView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can get on MenuApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on AsyncEventsRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can invalidate on CacheRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can csv upload on Database |:heavy_check_mark:|O|O|O|
| can excel upload on Database |:heavy_check_mark:|O|O|O|
| can query form data on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can query on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can time range on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can external metadata on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can save on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can my queries on SqlLab |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can log on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can import dashboards on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can schemas on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can sqllab history on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can publish on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can csv on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can slice on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can sync druid source on Superset |:heavy_check_mark:|O|O|O|
| can explore on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can approve on Superset |:heavy_check_mark:|O|O|O|
| can explore json on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can fetch datasource metadata on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can csrf token on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can sqllab on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can select star on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can warm up cache on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can sqllab table viz on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can available domains on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can request access on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can dashboard on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can post on TableSchemaView |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can expanded on TableSchemaView |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can delete on TableSchemaView |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can get on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can post on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can delete query on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can migrate query on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can activate on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can delete on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can put on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can read on SecurityRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| menu access on Security |:heavy_check_mark:|O|O|O|
| menu access on List Users |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on List Roles |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Action Log |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Manage|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Annotation Layers |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on CSS Templates |:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Import Dashboards |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Data |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Databases |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Datasets |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Charts |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Dashboards |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on SQL Lab |:heavy_check_mark:|O|O|:heavy_check_mark:|
| menu access on SQL Editor |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| menu access on Saved Queries |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| menu access on Query Search |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| all datasource access on all_datasource_access |:heavy_check_mark:|:heavy_check_mark:|O|O|
| all database access on all_database_access |:heavy_check_mark:|:heavy_check_mark:|O|O|
| all query access on all_query_access |:heavy_check_mark:|O|O|O|
| can write on DynamicPlugin |:heavy_check_mark:|O|O|O|
| can edit on DynamicPlugin |:heavy_check_mark:|O|O|O|
| can list on DynamicPlugin |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on DynamicPlugin |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can download on DynamicPlugin |:heavy_check_mark:|O|O|O|
| can add on DynamicPlugin |:heavy_check_mark:|O|O|O|
| can delete on DynamicPlugin |:heavy_check_mark:|O|O|O|
| can external metadata by name on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can get value on KV |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can store on KV |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can tagged objects on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can suggestions on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can get on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can post on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can edit on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can add on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| muldelete on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can edit on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can add on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| muldelete on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can edit on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can add on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on AlertLogModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on AlertLogModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can list on AlertObservationModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can show on AlertObservationModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Row Level Security |:heavy_check_mark:|O|O|O|
| menu access on Access requests |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Home |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Plugins |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Dashboard Email Schedules |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Chart Emails |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Alerts |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Alerts & Report |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| menu access on Scan New Datasources |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can share dashboard on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can share chart on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can this form get on ColumnarToDatabaseView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can this form post on ColumnarToDatabaseView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can export on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on DashboardFilterStateRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on DashboardFilterStateRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on DashboardPermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on DashboardPermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete embedded on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can set embedded on Dashboard |:heavy_check_mark:|O|O|O|
| can export on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can get embedded on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can export on Database |:heavy_check_mark:|O|O|O|
| can export on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can write on ExploreFormDataRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on ExploreFormDataRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on ExplorePermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on ExplorePermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can export on ImportExportRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can import on ImportExportRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can export on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|
| can dashboard permalink on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can grant guest token on SecurityRestApi |:heavy_check_mark:|O|O|O|
| can read on AdvancedDataType |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on EmbeddedDashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can duplicate on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on Explore |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can samples on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on AvailableDomains |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can get or create dataset on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get column values on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|
| can export csv on SQLLab |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can get results on SQLLab |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can execute sql query on SQLLab |:heavy_check_mark:|O|O|:heavy_check_mark:|
| can recent activity on Log |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| Permission/role description |Admins have all possible rights, including granting or revoking rights from other users and altering other people's slices and dashboards.|Alpha users have access to all data sources, but they cannot grant or revoke access from other users. They are also limited to altering the objects that they own. Alpha users can add and alter data sources.|Gamma users have limited access. They can only consume data coming from data sources they have been given access to through another complementary role. They only have access to view the slices and dashboards made from data sources that they have access to. Currently Gamma users are not able to alter or add data sources. We assume that they are mostly content consumers, though they can create slices and dashboards.|Public is the most restrictive built-in role, designed for anonymous/unauthenticated users viewing public dashboards. It provides minimal read-only access for dashboard viewing with interactive filters. Use `PUBLIC_ROLE_LIKE = "Public"` to apply these permissions to anonymous users.|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.||
| can read on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can write on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can read on CssTemplate |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on CssTemplate |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on ReportSchedule |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can write on ReportSchedule |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on Annotation |:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|O|
| can write on Annotation |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can read on AnnotationLayerRestApi |:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|O|
| can read on Dataset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can write on Dataset|:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can read on Log |:heavy_check_mark:|O|O|O|O|
| can write on Log |:heavy_check_mark:|O|O|O|O|
| can read on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on Database |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can write on Database |:heavy_check_mark:|O|O|O|O|
| can read on Query |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can this form get on ResetPasswordView |:heavy_check_mark:|O|O|O|O|
| can this form post on ResetPasswordView |:heavy_check_mark:|O|O|O|O|
| can this form get on ResetMyPasswordView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can this form post on ResetMyPasswordView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can this form get on UserInfoEditView |:heavy_check_mark:|O|O|O|O|
| can this form post on UserInfoEditView |:heavy_check_mark:|O|O|O|O|
| can show on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can edit on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can delete on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can add on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can list on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can userinfo on UserDBModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| resetmypassword on UserDBModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| resetpasswords on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| userinfoedit on UserDBModelView |:heavy_check_mark:|O|O|O|O|
| can show on RoleModelView |:heavy_check_mark:|O|O|O|O|
| can edit on RoleModelView |:heavy_check_mark:|O|O|O|O|
| can delete on RoleModelView |:heavy_check_mark:|O|O|O|O|
| can add on RoleModelView |:heavy_check_mark:|O|O|O|O|
| can list on RoleModelView |:heavy_check_mark:|O|O|O|O|
| copyrole on RoleModelView |:heavy_check_mark:|O|O|O|O|
| can get on OpenApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on SwaggerView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get on MenuApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on AsyncEventsRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can invalidate on CacheRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can csv upload on Database |:heavy_check_mark:|O|O|O|O|
| can excel upload on Database |:heavy_check_mark:|O|O|O|O|
| can query form data on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can query on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can time range on Api |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can external metadata on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can save on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can get on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can my queries on SqlLab |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can log on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can import dashboards on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can schemas on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can sqllab history on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can publish on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can csv on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can slice on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can sync druid source on Superset |:heavy_check_mark:|O|O|O|O|
| can explore on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can approve on Superset |:heavy_check_mark:|O|O|O|O|
| can explore json on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can fetch datasource metadata on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can csrf token on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can sqllab on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can select star on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can warm up cache on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can sqllab table viz on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can available domains on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can request access on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can dashboard on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can post on TableSchemaView |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can expanded on TableSchemaView |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can delete on TableSchemaView |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can get on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can post on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can delete query on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can migrate query on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can activate on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can delete on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can put on TabStateView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can read on SecurityRestApi|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| menu access on Security |:heavy_check_mark:|O|O|O|O|
| menu access on List Users |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on List Roles |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Action Log|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Manage |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| menu access on Annotation Layers |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on CSS Templates |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| menu access on Import Dashboards |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Data |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Databases |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Datasets |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Charts |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Dashboards |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on SQL Lab |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| menu access on SQL Editor |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| menu access on Saved Queries |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| menu access on Query Search |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| all datasource access on all_datasource_access |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| all database access on all_database_access |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| all query access on all_query_access |:heavy_check_mark:|O|O|O|O|
| can write on DynamicPlugin |:heavy_check_mark:|O|O|O|O|
| can edit on DynamicPlugin |:heavy_check_mark:|O|O|O|O|
| can list on DynamicPlugin |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on DynamicPlugin |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can download on DynamicPlugin |:heavy_check_mark:|O|O|O|O|
| can add on DynamicPlugin |:heavy_check_mark:|O|O|O|O|
| can delete on DynamicPlugin |:heavy_check_mark:|O|O|O|O|
| can external metadata by name on Datasource |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get value on KV |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can store on KV |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can tagged objects on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can suggestions on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can post on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can delete on TagView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can edit on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can add on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can delete on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| muldelete on DashboardEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can edit on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can add on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can delete on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| muldelete on SliceEmailScheduleView |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can edit on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can add on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can delete on AlertModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on AlertLogModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on AlertLogModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can list on AlertObservationModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can show on AlertObservationModelView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Row Level Security |:heavy_check_mark:|O|O|O|O|
| menu access on Access requests |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Home |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Plugins |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Dashboard Email Schedules |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Chart Emails |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Alerts |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Alerts & Report |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| menu access on Scan New Datasources |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can share dashboard on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can share chart on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can this form get on ColumnarToDatabaseView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can this form post on ColumnarToDatabaseView |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can export on Chart |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can write on DashboardFilterStateRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can read on DashboardFilterStateRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can write on DashboardPermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on DashboardPermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can delete embedded on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can set embedded on Dashboard |:heavy_check_mark:|O|O|O|O|
| can export on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get embedded on Dashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can export on Database |:heavy_check_mark:|O|O|O|O|
| can export on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can write on ExploreFormDataRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on ExploreFormDataRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can write on ExplorePermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on ExplorePermalinkRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can export on ImportExportRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can import on ImportExportRestApi |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can export on SavedQuery |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|:heavy_check_mark:|
| can dashboard permalink on Superset |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can grant guest token on SecurityRestApi |:heavy_check_mark:|O|O|O|O|
| can read on AdvancedDataType |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can read on EmbeddedDashboard |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|
| can duplicate on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can read on Explore |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can samples on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can read on AvailableDomains |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
| can get or create dataset on Dataset |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can get column values on Datasource |:heavy_check_mark:|:heavy_check_mark:|O|O|O|
| can export csv on SQLLab |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can get results on SQLLab |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can execute sql query on SQLLab |:heavy_check_mark:|O|O|O|:heavy_check_mark:|
| can recent activity on Log |:heavy_check_mark:|:heavy_check_mark:|:heavy_check_mark:|O|O|
When the feature flag is enabled, these permissions are enforced on both the frontend (disabled buttons with tooltips) and backend (403 responses from API endpoints). When disabled, legacy `can_csv` behavior is preserved.
**Migration behavior:** All three new permissions are granted to every role that currently has `can_csv`, preserving existing access. Admins can then selectively revoke individual export permissions from specific roles as needed.
### Deck.gl MapBox viewport and opacity controls are functional
The Deck.gl MapBox chart's **Opacity**, **Default longitude**, **Default latitude**, and **Zoom** controls were previously non-functional — changing them had no effect on the rendered map. These controls are now wired up correctly.
**Behavior change for existing charts:** Previously, the viewport controls had hard-coded default values (`-122.405293`, `37.772123`, zoom `11` — San Francisco) that were stored in each chart's `form_data` but never applied. The map always used `fitBounds` to center on the data. With this fix, those stored values are now respected, which means existing MapBox charts may open centered on the old default coordinates instead of fitting to data bounds.
**To restore fit-to-data behavior:** Open the chart in Explore, clear the **Default longitude**, **Default latitude**, and **Zoom** fields in the Viewport section, and re-save the chart.
### Combined datasource list endpoint
Added a new combined datasource list endpoint at `GET /api/v1/datasource/` to serve datasets and semantic views in one response.
- The endpoint is available to users with at least one of `can_read` on `Dataset` or `SemanticView`.
- Semantic views are included only when the `SEMANTIC_LAYERS` feature flag is enabled.
- The endpoint enforces strict `order_column` validation and returns `400` for invalid sort columns.
### ClickHouse minimum driver version bump
The minimum required version of `clickhouse-connect` has been raised to `>=0.13.0`. If you are using the ClickHouse connector, please upgrade your `clickhouse-connect` package. The `_mutate_label` workaround that appended hash suffixes to column aliases has also been removed, as it is no longer needed with modern versions of the driver.
### MCP Tool Observability
MCP (Model Context Protocol) tools now include enhanced observability instrumentation for monitoring and debugging:
**Two-layer instrumentation:**
1.**Middleware layer** (`LoggingMiddleware`): Automatically logs all MCP tool calls with `duration_ms` and `success` status in the audit log (Action Log UI, logs table)
2.**Sub-operation tracking**: All 19 MCP tools include granular `event_logger.log_context()` blocks for tracking individual operations like validation, database writes, and query execution
**Security note:** Sensitive parameters (passwords, API keys, tokens) are automatically redacted in logs as `[REDACTED]`.
### Distributed Coordination Backend
A new `DISTRIBUTED_COORDINATION_CONFIG` configuration provides a unified Redis-based backend for real-time coordination features in Superset. This backend enables:
- **Pub/sub messaging** for real-time event notifications between workers
- **Atomic distributed locking** using Redis SET NX EX (more performant than database-backed locks)
- **Event-based coordination** for background task management
The distributed coordination is used by the Global Task Framework (GTF) for abort notifications and task completion signaling, and will eventually replace `GLOBAL_ASYNC_QUERIES_CACHE_BACKEND` as the standard signaling backend. Configuring this is recommended for Redis enabled production deployments.
Example configuration in `superset_config.py`:
```python
DISTRIBUTED_COORDINATION_CONFIG={
"CACHE_TYPE":"RedisCache",
"CACHE_KEY_PREFIX":"signal_",
"CACHE_REDIS_URL":"redis://localhost:6379/1",
"CACHE_DEFAULT_TIMEOUT":300,
}
```
See `superset/config.py` for complete configuration options.
### WebSocket config for GAQ with Docker
[35896](https://github.com/apache/superset/pull/35896) and [37624](https://github.com/apache/superset/pull/37624) updated documentation on how to run and configure Superset with Docker. Specifically for the WebSocket configuration, a new `docker/superset-websocket/config.example.json` was added to the repo, so that users could copy it to create a `docker/superset-websocket/config.json` file. The existing `docker/superset-websocket/config.json` was removed and git-ignored, so if you're using GAQ / WebSocket make sure to:
- Stash/backup your existing `config.json` file, to re-apply it after (will get git-ignored going forward)
- Update the `volumes` configuration for the `superset-websocket` service in your `docker-compose.override.yml` file, to include the `docker/superset-websocket/config.json` file. For example:
- Auto-discovery: create `superset/examples/my_dataset/data.parquet` to add a new example
- Parquet is an Apache project format: compressed (~27% smaller), self-describing schema
- YAML configs define datasets, charts, and dashboards declaratively
- Removed Python-based data generation from individual example files
#### Test Data Reorganization
- Moved `big_data.py` to `superset/cli/test_loaders.py` - better reflects its purpose as a test utility
- Fixed inverted logic for `--load-test-data` flag (now correctly includes .test.yaml files when flag is set)
- Clarified CLI flags:
- `--force` / `-f`: Force reload even if tables exist
- `--only-metadata` / `-m`: Create table metadata without loading data
- `--load-test-data` / `-t`: Include test dashboards and .test.yaml configs
- `--load-big-data` / `-b`: Generate synthetic stress-test data
#### Bug Fixes
- Fixed numpy array serialization for PostgreSQL (converts complex types to JSON strings)
- Fixed KeyError for `allow_csv_upload` field in database configs (now optional with default)
- Fixed test data loading logic that was incorrectly filtering files
### MCP Service
The MCP (Model Context Protocol) service enables AI assistants and automation tools to interact programmatically with Superset.
@@ -125,8 +266,52 @@ See `superset/mcp_service/PRODUCTION.md` for deployment guides.
---
- [35621](https://github.com/apache/superset/pull/35621): The default hash algorithm has changed from MD5 to SHA-256 for improved security and FedRAMP compliance. This affects cache keys for thumbnails, dashboard digests, chart digests, and filter option names. Existing cached data will be invalidated upon upgrade. To opt out of this change and maintain backward compatibility, set `HASH_ALGORITHM = "md5"` in your `superset_config.py`.
- [33055](https://github.com/apache/superset/pull/33055): Upgrades Flask-AppBuilder to 5.0.0. The AUTH_OID authentication type has been deprecated and is no longer available as an option in Flask-AppBuilder. OpenID (OID) is considered a deprecated authentication protocol - if you are using AUTH_OID, you will need to migrate to an alternative authentication method such as OAuth, LDAP, or database authentication before upgrading.
- [35062](https://github.com/apache/superset/pull/35062): Changed the function signature of `setupExtensions` to `setupCodeOverrides` with options as arguments.
### Breaking Changes
- [37370](https://github.com/apache/superset/pull/37370): The `APP_NAME` configuration variable no longer controls the browser window/tab title or other frontend branding. Application names should now be configured using the theme system with the `brandAppName` token. The `APP_NAME` config is still used for backend contexts (MCP service, logs, etc.) and serves as a fallback if `brandAppName` is not set.
- **Migration:**
```python
# Before (Superset 5.x)
APP_NAME = "My Custom App"
# After (Superset 6.x) - Option 1: Use theme system (recommended)
# After (Superset 6.x) - Option 2: Temporary fallback
# Keep APP_NAME for now (will be used as fallback for brandAppName)
APP_NAME = "My Custom App"
# But you should migrate to THEME_DEFAULT.token.brandAppName
```
- **Note:** For dark mode, set the same tokens in `THEME_DARK` configuration.
- [36317](https://github.com/apache/superset/pull/36317): The `CUSTOM_FONT_URLS` configuration option has been removed. Use the new per-theme `fontUrls` token in `THEME_DEFAULT` or database-managed themes instead.
- **Before:**
```python
CUSTOM_FONT_URLS = [
"https://fonts.example.com/myfont.css",
]
```
- **After:**
```python
THEME_DEFAULT = {
"token": {
"fontUrls": [
"https://fonts.example.com/myfont.css",
],
# ... other tokens
}
}
```
## 6.0.0
- [33055](https://github.com/apache/superset/pull/33055): Upgrades Flask-AppBuilder to 5.0.0. The AUTH_OID authentication type has been deprecated and is no longer available as an option in Flask-AppBuilder. OpenID (OID) is considered a deprecated authentication protocol - if you are using AUTH_OID, you will need to migrate to an alternative authentication method such as OAuth, LDAP, or database authentication before upgrading.
- [34871](https://github.com/apache/superset/pull/34871): Fixed Jest test hanging issue from Ant Design v5 upgrade. MessageChannel is now mocked in test environment to prevent rc-overflow from causing Jest to hang. Test environment only - no production impact.
- [34782](https://github.com/apache/superset/pull/34782): Dataset exports now include the dataset ID in their file name (similar to charts and dashboards). If managing assets as code, make sure to rename existing dataset YAMLs to include the ID (and avoid duplicated files).
- [34536](https://github.com/apache/superset/pull/34536): The `ENVIRONMENT_TAG_CONFIG` color values have changed to support only Ant Design semantic colors. Update your `superset_config.py`:
@@ -144,38 +329,13 @@ Note: Pillow is now a required dependency (previously optional) to support image
There's a migration added that can potentially affect a significant number of existing charts.
- [32317](https://github.com/apache/superset/pull/32317) The horizontal filter bar feature is now out of testing/beta development and its feature flag `HORIZONTAL_FILTER_BAR` has been removed.
- [31590](https://github.com/apache/superset/pull/31590) Marks the beginning of intricate work around supporting dynamic Theming, and breaks support for [THEME_OVERRIDES](https://github.com/apache/superset/blob/732de4ac7fae88e29b7f123b6cbb2d7cd411b0e4/superset/config.py#L671) in favor of a new theming system based on AntD V5. Likely this will be in disrepair until settling over the 5.x lifecycle.
- [32432](https://github.com/apache/superset/pull/31260) Moves the List Roles FAB view to the frontend and requires `FAB_ADD_SECURITY_API` to be enabled in the configuration and `superset init` to be executed.
- [32432](https://github.com/apache/superset/pull/32432) Moves the List Roles FAB view to the frontend and requires `FAB_ADD_SECURITY_API` to be enabled in the configuration and `superset init` to be executed.
- [34319](https://github.com/apache/superset/pull/34319) Drill to Detail and Drill By is now supported in Embedded mode, and also with the `DASHBOARD_RBAC` FF. If you don't want to expose these features in Embedded / `DASHBOARD_RBAC`, make sure the roles used for Embedded / `DASHBOARD_RBAC`don't have the required permissions to perform D2D actions.
### Breaking Changes
#### CUSTOM_FONT_URLS removed
The `CUSTOM_FONT_URLS` configuration option has been removed. Use the new per-theme `fontUrls` token in `THEME_DEFAULT` or database-managed themes instead.
**Before (5.x):**
```python
CUSTOM_FONT_URLS=[
"https://fonts.example.com/myfont.css",
]
```
**After (6.0):**
```python
THEME_DEFAULT={
"token":{
"fontUrls":[
"https://fonts.example.com/myfont.css",
],
# ... other tokens
}
}
```
## 5.0.0
- [31976](https://github.com/apache/superset/pull/31976) Removed the `DISABLE_LEGACY_DATASOURCE_EDITOR` feature flag. The previous value of the feature flag was `True` and now the feature is permanently removed.
- [31959](https://github.com/apache/superset/pull/32000) Removes CSV_UPLOAD_MAX_SIZE config, use your web server to control file upload size.
- [32000](https://github.com/apache/superset/pull/32000) Removes CSV_UPLOAD_MAX_SIZE config, use your web server to control file upload size.
- [31959](https://github.com/apache/superset/pull/31959) Removes the following endpoints from data uploads: `/api/v1/database/<id>/<file type>_upload` and `/api/v1/database/<file type>_metadata`, in favour of new one (Details on the PR). And simplifies permissions.
- [31844](https://github.com/apache/superset/pull/31844) The `ALERT_REPORTS_EXECUTE_AS` and `THUMBNAILS_EXECUTE_AS` config parameters have been renamed to `ALERT_REPORTS_EXECUTORS` and `THUMBNAILS_EXECUTORS` respectively. A new config flag `CACHE_WARMUP_EXECUTORS` has also been introduced to be able to control which user is used to execute cache warmup tasks. Finally, the config flag `THUMBNAILS_SELENIUM_USER` has been removed. To use a fixed executor for async tasks, use the new `FixedExecutor` class. See the config and docs for more info on setting up different executor profiles.
- [31894](https://github.com/apache/superset/pull/31894) Domain sharding is deprecated in favor of HTTP2. The `SUPERSET_WEBSERVER_DOMAINS` configuration will be removed in the next major version (6.0)
@@ -183,7 +343,7 @@ THEME_DEFAULT = {
- [31774](https://github.com/apache/superset/pull/31774): Fixes the spelling of the `USE-ANALAGOUS-COLORS` feature flag. Please update any scripts/configuration item to use the new/corrected `USE-ANALOGOUS-COLORS` flag spelling.
- [31582](https://github.com/apache/superset/pull/31582) Removed the legacy Area, Bar, Event Flow, Heatmap, Histogram, Line, Sankey, and Sankey Loop charts. They were all automatically migrated to their ECharts counterparts with the exception of the Event Flow and Sankey Loop charts which were removed as they were not actively maintained and not widely used. If you were using the Event Flow or Sankey Loop charts, you will need to find an alternative solution.
- [31198](https://github.com/apache/superset/pull/31198) Disallows by default the use of the following ClickHouse functions: "version", "currentDatabase", "hostName".
- [29798](https://github.com/apache/superset/pull/29798) Since 3.1.0, the intial schedule for an alert or report was mistakenly offset by the specified timezone's relation to UTC. The initial schedule should now begin at the correct time.
- [29798](https://github.com/apache/superset/pull/29798) Since 3.1.0, the initial schedule for an alert or report was mistakenly offset by the specified timezone's relation to UTC. The initial schedule should now begin at the correct time.
- [30021](https://github.com/apache/superset/pull/30021) The `dev` layer in our Dockerfile no long includes firefox binaries, only Chromium to reduce bloat/docker-build-time.
- [30099](https://github.com/apache/superset/pull/30099) Translations are no longer included in the default docker image builds. If your environment requires translations, you'll want to set the docker build arg `BUILD_TRANSLATIONS=true`.
- [31262](https://github.com/apache/superset/pull/31262) NOTE: deprecated `pylint` in favor of `ruff` as our only python linter. Only affect development workflows positively (not the release itself). It should cover most important rules, be much faster, but some things linting rules that were enforced before may not be enforce in the exact same way as before.
@@ -196,7 +356,7 @@ THEME_DEFAULT = {
- [25166](https://github.com/apache/superset/pull/25166) Changed the default configuration of `UPLOAD_FOLDER` from `/app/static/uploads/` to `/static/uploads/`. It also removed the unused `IMG_UPLOAD_FOLDER` and `IMG_UPLOAD_URL` configuration options.
- [30284](https://github.com/apache/superset/pull/30284) Deprecated GLOBAL_ASYNC_QUERIES_REDIS_CONFIG in favor of the new GLOBAL_ASYNC_QUERIES_CACHE_BACKEND configuration. To leverage Redis Sentinel, set CACHE_TYPE to RedisSentinelCache, or use RedisCache for standalone Redis
- [31961](https://github.com/apache/superset/pull/31961) Upgraded React from version 16.13.1 to 17.0.2. If you are using custom frontend extensions or plugins, you may need to update them to be compatible with React 17.
- [31260](https://github.com/apache/superset/pull/31260) Docker images now use `uv pip install` instead of `pip install` to manage the python envrionment. Most docker-based deployments will be affected, whether you derive one of the published images, or have custom bootstrap script that install python libraries (drivers)
- [31260](https://github.com/apache/superset/pull/31260) Docker images now use `uv pip install` instead of `pip install` to manage the python environment. Most docker-based deployments will be affected, whether you derive one of the published images, or have custom bootstrap script that install python libraries (drivers)
### Potential Downtime
@@ -273,7 +433,7 @@ THEME_DEFAULT = {
- [26462](https://github.com/apache/superset/issues/26462): Removes the Profile feature given that it's not actively maintained and not widely used.
- [26377](https://github.com/apache/superset/pull/26377): Removes the deprecated Redirect API that supported short URLs used before the permalink feature.
- [26329](https://github.com/apache/superset/issues/26329): Removes the deprecated `DASHBOARD_NATIVE_FILTERS` feature flag. The previous value of the feature flag was `True` and now the feature is permanently enabled.
- [25510](https://github.com/apache/superset/pull/25510): Reenforces that any newly defined Python data format (other than epoch) must adhere to the ISO 8601 standard (enforced by way of validation at the API and database level) after a previous relaxation to include slashes in addition to dashes. From now on when specifying new columns, dataset owners will need to use a SQL expression instead to convert their string columns of the form %Y/%m/%d etc. to a `DATE`, `DATETIME`, etc. type.
- [25510](https://github.com/apache/superset/pull/25510): Reinforces that any newly defined Python data format (other than epoch) must adhere to the ISO 8601 standard (enforced by way of validation at the API and database level) after a previous relaxation to include slashes in addition to dashes. From now on when specifying new columns, dataset owners will need to use a SQL expression instead to convert their string columns of the form %Y/%m/%d etc. to a `DATE`, `DATETIME`, etc. type.
- [26372](https://github.com/apache/superset/issues/26372): Removes the deprecated `GENERIC_CHART_AXES` feature flag. The previous value of the feature flag was `True` and now the feature is permanently enabled.
@@ -77,6 +77,34 @@ To run the container, simply run: `docker compose up`
After waiting several minutes for Superset initialization to finish, you can open a browser and view [`http://localhost:8088`](http://localhost:8088)
to start your journey.
### Running Multiple Instances
If you need to run multiple Superset instances simultaneously (e.g., different branches or clones), use the make targets which automatically find available ports:
```bash
make up
```
This automatically:
- Generates a unique project name from your directory
- Finds available ports (incrementing from defaults if in use)
WEBDRIVER_BASEURL=f"http://superset_app{os.environ.get('SUPERSET_APP_ROOT','/')}/"# When using docker compose baseurl should be http://superset_nginx{ENV{BASEPATH}}/ # noqa: E501
## Core Principle: Stories Are the Single Source of Truth
When working on the Storybook-to-MDX documentation system:
**ALWAYS fix the story first. NEVER add workarounds to the generator.**
## Why This Matters
The generator (`scripts/generate-superset-components.mjs`) should be lightweight - it extracts data from stories and passes it through. When you add special cases to the generator:
- It becomes harder to maintain
- Stories diverge from their docs representation
- Future stories need to know about generator quirks
When you fix stories to match the expected patterns:
- Stories work identically in Storybook and Docs
- The generator stays simple and predictable
- Patterns are consistent and learnable
## Story Patterns for Docs Generation
### Required Structure
```tsx
// Use inline export default (NOT const meta = ...; export default meta)
exportdefault{
title:'Components/MyComponent',
component: MyComponent,
};
// Name interactive stories with Interactive prefix
exportconstInteractiveMyComponent: Story={
args:{
// Default prop values
},
argTypes:{
// Control definitions - MUST be at story level, not meta level
propName:{
control:{type:'select'},
options:['a','b','c'],
description:'What this prop does',
},
},
};
```
### For Components with Variants (size × style grids)
```tsx
constsizes=['small','medium','large'];
constvariants=['primary','secondary','danger'];
InteractiveButton.parameters={
docs:{
gallery:{
component:'Button',
sizes,
styles: variants,
sizeProp:'size',
styleProp:'variant',
},
},
};
```
### For Components Requiring Children
```tsx
InteractiveIconTooltip.parameters={
docs:{
// Component descriptors with dot notation for nested components
Each section maintains its own version history and can be versioned independently.
@@ -36,23 +37,45 @@ Each section maintains its own version history and can be versioned independentl
To create a new version for any section, use the Docusaurus version command with the appropriate plugin ID or use our automated scripts:
#### Before You Cut
The cut snapshots whatever's on disk into a frozen historical version, including auto-generated content (database pages from `superset/db_engine_specs/`, API reference from `static/resources/openapi.json`, component pages from Storybook stories). The cut script refreshes these via `generate:smart` before snapshotting, but the **`databases.json` diagnostics file** needs special care to capture full detail:
1.**Canonical release cut**: download the `database-diagnostics` artifact from a green `Python-Integration` run on master, place it at `docs/src/data/databases.json`, then run the cut script with `--skip-generate` to preserve it. This is what the production deploy uses and includes full Flask-context diagnostics (driver versions, feature support matrix, etc.).
2.**Local dev cut**: just run the script normally. `generate:smart` will regenerate `databases.json` using your local Flask environment — accurate to whatever drivers/extras you have installed, but typically less complete than the CI artifact.
3.**No Flask available**: also fine — the database generator falls back to AST parsing of engine spec files. The MDX pages are still correct; only the diagnostics JSON is leaner.
Also: confirm `master` CI is green, and that your local checkout matches the SHA you intend to cut from.
#### Using Automated Scripts (Required)
**⚠️ Important:** Always use these custom commands instead of the native Docusaurus commands. These scripts ensure that both the Docusaurus versioning system AND the `versions-config.json` file are updated correctly.
**⚠️ Important:** Always use these custom commands instead of the native Docusaurus commands. These scripts ensure that both the Docusaurus versioning system AND the `versions-config.json` file are updated correctly, AND that auto-generated content is refreshed before snapshotting.
```bash
# Main Documentation
yarn version:add:docs 1.2.0
yarn version:add:user_docs 1.2.0
# Developer Portal
yarn version:add:developer_portal 1.2.0
# Admin Docs
yarn version:add:admin_docs 1.2.0
# Component Playground (when enabled)
# Developer Docs
yarn version:add:developer_docs 1.2.0
# Component Playground
yarn version:add:components 1.2.0
```
What the script does:
1. Refreshes auto-generated content via `generate:smart` (database pages, API reference, component pages).
2. Calls `yarn docusaurus docs:version` (or the per-section equivalent) to snapshot the section.
3. Freezes any data-file imports (`@site/static/*.json`, `../../data/*.json`) into a snapshot-local `_versioned_data/` dir so the historical version doesn't silently mutate when the source files change.
4. Adjusts relative import paths (`../../src/...` → `../../../src/...`) for files now one directory deeper.
5. Updates `versions-config.json` and `<section>_versions.json`.
**Do NOT use** the native Docusaurus commands directly (`yarn docusaurus docs:version`), as they will:
- ❌ Create version files but NOT update `versions-config.json`
- ❌ Skip auto-gen refresh, freezing whatever was on disk
- ❌ Skip data-import freezing, leaving the snapshot pointed at live data
- ❌ Cause versions to not appear in dropdown menus
- ❌ Require manual fixes to synchronize the configuration
@@ -75,7 +98,7 @@ If creating versions manually, you'll need to:
Users can configure automated alerts and reports to send dashboards or charts to an email recipient or Slack channel.
- *Alerts* are sent when a SQL condition is reached
- *Reports* are sent on a schedule
Alerts and reports are disabled by default. To turn them on, you'll need to change configuration settings and install a suitable headless browser in your environment.
## Requirements
### Commons
#### In your `superset_config.py` or `superset_config_docker.py`
- `"ALERT_REPORTS"` [feature flag](/admin-docs/configuration/configuring-superset#feature-flags) must be turned to True.
- `beat_schedule` in CeleryConfig must contain schedule for `reports.scheduler`.
- At least one of those must be configured, depending on what you want to use:
- emails: `SMTP_*` settings
- Slack messages: `SLACK_API_TOKEN`
- Users can customize the email subject by including date code placeholders, which will automatically be replaced with the corresponding UTC date when the email is sent. To enable this functionality, activate the `"DATE_FORMAT_IN_EMAIL_SUBJECT"` [feature flag](/admin-docs/configuration/configuring-superset#feature-flags). This enables date formatting in email subjects, preventing all reporting emails from being grouped into the same thread (optional for the reporting feature).
- Use date codes from [strftime.org](https://strftime.org/) to create the email subject.
- If no date code is provided, the original string will be used as the email subject.
##### Disable dry-run mode
Screenshots will be taken but no messages actually sent as long as `ALERT_REPORTS_NOTIFICATION_DRY_RUN = True`, its default value in `docker/pythonpath_dev/superset_config.py`. To disable dry-run mode and start receiving email/Slack notifications, set `ALERT_REPORTS_NOTIFICATION_DRY_RUN` to `False` in [superset config](https://github.com/apache/superset/blob/master/docker/pythonpath_dev/superset_config.py).
#### In your `Dockerfile`
You'll need to extend the Superset image to include a headless browser. Your options include:
- Use Playwright with Chromium: this is the recommended approach as of version 4.1.x or greater. Playwright always uses Chromium — the `WEBDRIVER_TYPE` config setting has no effect when Playwright is active. A working example of a Dockerfile that installs these tools is provided under "Building your own production Docker image" on the [Docker Builds](/admin-docs/installation/docker-builds#building-your-own-production-docker-image) page. Enable the `PLAYWRIGHT_REPORTS_AND_THUMBNAILS` feature flag in your config to activate it.
- Use Firefox (Selenium): you'll need to install geckodriver and Firefox. Set `WEBDRIVER_TYPE` to `"firefox"` in your `superset_config.py`.
- Use Chrome (Selenium): you'll need to install Chrome. Set `WEBDRIVER_TYPE` to `"chrome"` in your `superset_config.py`.
In Superset versions <=4.0x, users installed Firefox or Chrome and that was documented here.
Only the worker container needs the browser.
### Slack integration
To send alerts and reports to Slack channels, you need to create a new Slack Application on your workspace.
1. Connect to your Slack workspace, then head to [https://api.slack.com/apps].
2. Create a new app.
3. Go to "OAuth & Permissions" section, and give the following scopes to your app:
- `incoming-webhook`
- `files:write`
- `chat:write`
- `channels:read`
- `groups:read`
4. At the top of the "OAuth and Permissions" section, click "install to workspace".
5. Select a default channel for your app and continue.
(You can post to any channel by inviting your Superset app into that channel).
6. The app should now be installed in your workspace, and a "Bot User OAuth Access Token" should have been created. Copy that token in the `SLACK_API_TOKEN` variable of your `superset_config.py`.
7. Ensure the feature flag `ALERT_REPORT_SLACK_V2` is set to True in `superset_config.py`
8. Restart the service (or run `superset init`) to pull in the new configuration.
Note: when you configure an alert or a report, the Slack channel list takes channel names without the leading '#' e.g. use `alerts` instead of `#alerts`.
#### Large Slack Workspaces (10k+ channels)
For workspaces with many channels, fetching the complete channel list can take several minutes and may encounter Slack API rate limits. Add the following to your `superset_config.py`:
When a report includes file attachments (CSV, PDF, or PNG screenshots), the request is sent as `multipart/form-data` instead. In that case, each top-level payload field (`name`, `text`, `description`, `url`) becomes its own form field, and nested structures like `header` are serialized as a JSON-encoded string in their own field. Every attachment is added as a repeated form field named `files`:
Webhook consumers should branch on `Content-Type`: parse the body as JSON when `application/json`, or read the individual form fields (decoding `header` as JSON) when `multipart/form-data`.
#### HTTPS Enforcement
To require HTTPS webhook URLs (recommended for production), set:
```python
ALERT_REPORTS_WEBHOOK_HTTPS_ONLY = True
```
When enabled, Superset rejects webhook configurations that use `http://` URLs.
#### Retry Behavior
Superset automatically retries webhook deliveries on `429 Too Many Requests` and `5xx` server errors using exponential backoff.
### Kubernetes-specific
- You must have a `celery beat` pod running. If you're using the chart included in the GitHub repository under [helm/superset](https://github.com/apache/superset/tree/master/helm/superset), you need to put `supersetCeleryBeat.enabled = true` in your values override.
- You can see the dedicated docs about [Kubernetes installation](/admin-docs/installation/kubernetes) for more details.
### Docker Compose specific
#### You must have in your `docker-compose.yml`
- A Redis message broker
- PostgreSQL DB instead of SQLlite
- One or more `celery worker`
- A single `celery beat`
This process also works in a Docker swarm environment, you would just need to add `Deploy:` to the Superset, Redis and Postgres services along with your specific configs for your swarm.
### Detailed config
The following configurations need to be added to the `superset_config.py` file. This file is loaded when the image runs, and any configurations in it will override the default configurations found in the `config.py`.
You can find documentation about each field in the default `config.py` in the GitHub repository under [superset/config.py](https://github.com/apache/superset/blob/master/superset/config.py).
You need to replace default values with your custom Redis, Slack and/or SMTP config.
Superset uses Celery beat and Celery worker(s) to send alerts and reports.
- The beat is the scheduler that tells the worker when to perform its tasks. This schedule is defined when you create the alert or report.
- The worker will process the tasks that need to be performed when an alert or report is fired.
In the `CeleryConfig`, only the `beat_schedule` is relevant to this feature, the rest of the `CeleryConfig` can be changed for your needs.
Alternatively, you can assign a function to `ALERT_MINIMUM_INTERVAL` and/or `REPORT_MINIMUM_INTERVAL`. This is useful to dynamically retrieve a value as needed:
For security, Superset rewrites external links in alert/report email HTML so
they go through a warning page before the user is navigated to the external
site. Internal links (matching your configured base URL) are not affected.
```python
# Disable external link redirection entirely (default: True)
ALERT_REPORTS_ENABLE_LINK_REDIRECT = False
```
The feature uses `WEBDRIVER_BASEURL_USER_FRIENDLY` (or `WEBDRIVER_BASEURL`)
to determine which hosts are internal.
## Troubleshooting
There are many reasons that reports might not be working. Try these steps to check for specific issues.
### Confirm feature flag is enabled and you have sufficient permissions
If you don't see "Alerts & Reports" under the *Manage* section of the Settings dropdown in the Superset UI, you need to enable the `ALERT_REPORTS` feature flag (see above). Enable another feature flag and check to see that it took effect, to verify that your config file is getting loaded.
Log in as an admin user to ensure you have adequate permissions.
### Check the logs of your Celery worker
This is the best source of information about the problem. In a docker compose deployment, you can do this with a command like `docker logs superset_worker --since 1h`.
### Check web browser and webdriver installation
To take a screenshot, the worker visits the dashboard or chart using a headless browser, then takes a screenshot. If you are able to send a chart as CSV or text but can't send as PNG, your problem may lie with the browser.
If you are handling the installation of the headless browser on your own, do your own verification to ensure that the headless browser opens successfully in the worker environment.
### Send a test email
One symptom of an invalid connection to an email server is receiving an error of `[Errno 110] Connection timed out` in your logs when the report tries to send.
Confirm via testing that your outbound email configuration is correct. Here is the simplest test, for an un-authenticated email SMTP email service running on port 25. If you are sending over SSL, for instance, study how [Superset's codebase sends emails](https://github.com/apache/superset/blob/master/superset/utils/core.py#L818) and then test with those commands and arguments.
Start Python in your worker environment, replace all example values, and run:
- Some cloud hosts disable outgoing unauthenticated SMTP email to prevent spam. For instance, [Azure blocks port 25 by default on some machines](https://learn.microsoft.com/en-us/azure/virtual-network/troubleshoot-outbound-smtp-connectivity). Enable that port or use another sending method.
- Use another set of SMTP credentials that you verify works in this setup.
### Browse to your report from the worker
The worker may be unable to reach the report. It will use the value of `WEBDRIVER_BASEURL` to browse to the report. If that route is invalid, or presents an authentication challenge that the worker can't pass, the report screenshot will fail.
Check this by attempting to `curl` the URL of a report that you see in the error logs of your worker. For instance, from the worker environment, run `curl http://superset_app:8088/superset/dashboard/1/`. You may get different responses depending on whether the dashboard exists - for example, you may need to change the `1` in that URL. If there's a URL in your logs from a failed report screenshot, that's a good place to start. The goal is to determine a valid value for `WEBDRIVER_BASEURL` and determine if an issue like HTTPS or authentication is redirecting your worker.
In a deployment with authentication measures enabled like HTTPS and Single Sign-On, it may make sense to have the worker navigate directly to the Superset application running in the same location, avoiding the need to sign in. For instance, you could use `WEBDRIVER_BASEURL="http://superset_app:8088"` for a docker compose deployment, and set `"force_https": False,` in your `TALISMAN_CONFIG`.
### Duplicate report deliveries
In some deployment configurations a scheduled report can be delivered more than once around its planned time. This typically happens when more than one process is responsible for running the alerts & reports schedule (for example, multiple schedulers or Celery beat instances). To avoid duplicate emails or notifications:
- Ensure that only a **single scheduler/beat process** is configured to trigger alerts and reports for a given environment.
- If you run **multiple Celery workers**, verify that there is still only one component responsible for scheduling the report tasks (workers should execute tasks, not schedule them independently).
- Review your deployment/orchestration setup (for example systemd, Docker, or Kubernetes) to make sure the alerts & reports scheduler is **not started from multiple places by accident**.
## Scheduling Queries as Reports
You can optionally allow your users to schedule queries directly in SQL Lab. This is done by adding
extra metadata to saved queries, which are then picked up by an external scheduled (like
[Apache Airflow](https://airflow.apache.org/)).
To allow scheduled queries, add the following to `SCHEDULED_QUERIES` in your configuration file:
```python
SCHEDULED_QUERIES = {
# This information is collected when the user clicks "Schedule query",
# and saved into the `extra` field of saved queries.
[react-jsonschema-form](https://github.com/mozilla-services/react-jsonschema-form) and will add a
menu item called “Schedule” to SQL Lab. When the menu item is clicked, a modal will show up where
the user can add the metadata required for scheduling the query.
This information can then be retrieved from the endpoint `/api/v1/saved_query/` and used to
schedule the queries that have `schedule_info` in their JSON metadata. For schedulers other than
Airflow, additional fields can be easily added to the configuration file above.
:::resources
- [Tutorial: Automated Alerts and Reporting via Slack/Email in Superset](https://dev.to/ngtduc693/apache-superset-topic-5-automated-alerts-and-reporting-via-slackemail-in-superset-2gbe)
- [Blog: Integrating Slack alerts and Apache Superset for better data observability](https://medium.com/affinityanswers-tech/integrating-slack-alerts-and-apache-superset-for-better-data-observability-fd2f9a12c350)
For performance gains, [MessagePack](https://github.com/msgpack/msgpack-python) and
[PyArrow](https://arrow.apache.org/docs/python/) are now used for results serialization. This can be
disabled by setting `RESULTS_BACKEND_USE_MSGPACK = False` in your `superset_config.py`, should any
issues arise. Please clear your existing results cache store when upgrading an existing environment.
**Important Notes**
- It is important that all the worker nodes and web servers in the Superset cluster _share a common
metadata database_. This means that SQLite will not work in this context since it has limited
support for concurrency and typically lives on the local file system.
- There should _only be one instance of celery beat running_ in your entire setup. If not,
background jobs can get scheduled multiple times resulting in weird behaviors like duplicate
delivery of reports, higher than expected load / traffic etc.
- SQL Lab will _only run your queries asynchronously if_ you enable **Asynchronous Query Execution**
in your database settings (Sources > Databases > Edit record).
## Celery Flower
Flower is a web based tool for monitoring the Celery cluster which you can install from pip:
```bash
pip install flower
```
You can run flower using:
```bash
celery --app=superset.tasks.celery_app:app flower
```
:::resources
- [Blog: How to Set Up Global Async Queries (GAQ) in Apache Superset](https://medium.com/@ngigilevis/how-to-set-up-global-async-queries-gaq-in-apache-superset-a-complete-guide-9d2f4a047559)
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.
*/}
---
title: AWS IAM Authentication
sidebar_label: AWS IAM Authentication
sidebar_position: 15
---
# AWS IAM Authentication for AWS Databases
Superset supports IAM-based authentication for **Amazon Aurora** (PostgreSQL and MySQL) and **Amazon Redshift**. IAM auth eliminates the need for database passwords — Superset generates a short-lived auth token using temporary AWS credentials instead.
Cross-account IAM role assumption via STS `AssumeRole` is supported, allowing a Superset deployment in one AWS account to connect to databases in a different account.
## Prerequisites
- Enable the `AWS_DATABASE_IAM_AUTH` feature flag in `superset_config.py`. IAM authentication is gated behind this flag; if it is disabled, connections using `aws_iam` fail with *"AWS IAM database authentication is not enabled."*
```python
FEATURE_FLAGS = {
"AWS_DATABASE_IAM_AUTH": True,
}
```
- `boto3` must be installed in your Superset environment:
```bash
pip install boto3
```
- The Superset server's IAM role (or static credentials) must have permission to call `sts:AssumeRole` (for cross-account) or the same-account permissions for the target service:
- **Redshift Serverless**: `redshift-serverless:GetCredentials` and `redshift-serverless:GetWorkgroup`
- SSL must be enabled on the Aurora / Redshift endpoint (required for IAM token auth).
## Configuration
IAM authentication is configured via the **encrypted_extra** field of the database connection. Access this field in the **Advanced** → **Security** section of the database connection form, under **Secure Extra**.
**3. Configure the database connection in Superset** using the `role_arn` and `external_id` from the trust policy (as shown in the configuration example above).
## Credential Caching
STS credentials are cached in memory keyed by `(role_arn, region, external_id)` with a 10-minute TTL. This reduces the number of STS API calls when multiple queries are executed with the same connection. Tokens are refreshed automatically before expiry.
Caching can be configured by providing dictionaries in
`superset_config.py` that comply with [the Flask-Caching config specifications](https://flask-caching.readthedocs.io/en/latest/#configuring-flask-caching).
The following cache configurations can be customized in this way:
- Dashboard filter state (required): `FILTER_STATE_CACHE_CONFIG`.
- Explore chart form data (required): `EXPLORE_FORM_DATA_CACHE_CONFIG`
- Metadata cache (optional): `CACHE_CONFIG`
- Charting data queried from datasets (optional): `DATA_CACHE_CONFIG`
For example, to configure the filter state cache using Redis:
```python
FILTER_STATE_CACHE_CONFIG = {
'CACHE_TYPE': 'RedisCache',
'CACHE_DEFAULT_TIMEOUT': 86400,
'CACHE_KEY_PREFIX': 'superset_filter_cache',
'CACHE_REDIS_URL': 'redis://localhost:6379/0'
}
```
## Dependencies
In order to use dedicated cache stores, additional python libraries must be installed
- For Redis: we recommend the [redis](https://pypi.python.org/pypi/redis) Python package
- Memcached: we recommend using [pylibmc](https://pypi.org/project/pylibmc/) client library as
`python-memcached` does not handle storing binary data correctly.
These libraries can be installed using pip.
## Fallback Metastore Cache
Note, that some form of Filter State and Explore caching are required. If either of these caches
are undefined, Superset falls back to using a built-in cache that stores data in the metadata
database. While it is recommended to use a dedicated cache, the built-in cache can also be used
to cache other data.
For example, to use the built-in cache to store chart data, use the following config:
```python
DATA_CACHE_CONFIG = {
"CACHE_TYPE": "SupersetMetastoreCache",
"CACHE_KEY_PREFIX": "superset_results", # make sure this string is unique to avoid collisions
The cache timeout for charts may be overridden by the settings for an individual chart, dataset, or
database. Each of these configurations will be checked in order before falling back to the default
value defined in `DATA_CACHE_CONFIG`.
Note, that by setting the cache timeout to `-1`, caching for charting data can be disabled, either
per chart, dataset or database, or by default if set in `DATA_CACHE_CONFIG`.
## SQL Lab Query Results
Caching for SQL Lab query results is used when async queries are enabled and is configured using
`RESULTS_BACKEND`.
Note that this configuration does not use a flask-caching dictionary for its configuration, but
instead requires a cachelib object.
See [Async Queries via Celery](/admin-docs/configuration/async-queries-celery) for details.
## Caching Thumbnails
This is an optional feature that can be turned on by activating its [feature flag](/admin-docs/configuration/configuring-superset#feature-flags) on config:
```
FEATURE_FLAGS = {
"THUMBNAILS": True,
"THUMBNAILS_SQLA_LISTENERS": True,
}
```
By default thumbnails are rendered per user, and will fall back to the Selenium user for anonymous users.
To always render thumbnails as a fixed user (`admin` in this example), use the following configuration:
```python
from superset.tasks.types import FixedExecutor
THUMBNAIL_EXECUTORS = [FixedExecutor("admin")]
```
For this feature you will need a cache system and celery workers. All thumbnails are stored on cache
and are processed asynchronously by the workers.
An example config where images are stored on S3 could be:
```python
from flask import Flask
from s3cache.s3cache import S3Cache
...
class CeleryConfig(object):
broker_url = "redis://localhost:6379/0"
imports = (
"superset.sql_lab",
"superset.tasks.thumbnails",
)
result_backend = "redis://localhost:6379/0"
worker_prefetch_multiplier = 10
task_acks_late = True
CELERY_CONFIG = CeleryConfig
def init_thumbnail_cache(app: Flask) -> S3Cache:
return S3Cache("bucket_name", 'thumbs_cache/')
THUMBNAIL_CACHE_CONFIG = init_thumbnail_cache
```
Using the above example cache keys for dashboards will be `superset_thumb__dashboard__{ID}`. You can
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
high-performance distributed operations. This configuration enables:
- **Distributed locking**: Moves lock operations from the metadata database to Redis, improving
performance and reducing metastore load
- **Real-time event notifications**: Enables instant pub/sub messaging for task abort signals and
completion notifications instead of polling-based approaches
:::note
This requires Redis or Valkey specifically—it uses Redis-specific features (pub/sub, `SET NX EX`)
that are not available in general Flask-Caching backends.
:::
### Configuration
The distributed coordination uses Flask-Caching style configuration for consistency with other cache
backends. Configure `DISTRIBUTED_COORDINATION_CONFIG` in `superset_config.py`:
Individual lock acquisitions can override this value when needed.
### Database-Only Mode
When `DISTRIBUTED_COORDINATION_CONFIG` is not configured, Superset uses database-backed operations:
- **Locking**: Uses the KeyValue table with periodic cleanup of expired entries
- **Event notifications**: Uses database polling instead of pub/sub
While database-backed operations work reliably, the Redis backend is recommended for production
deployments where low latency and reduced database load are important.
:::resources
- [Blog: The Data Engineer's Guide to Lightning-Fast Superset Dashboards](https://preset.io/blog/the-data-engineers-guide-to-lightning-fast-apache-superset-dashboards/)
- [Blog: Accelerating Dashboards with Materialized Views](https://preset.io/blog/accelerating-apache-superset-dashboards-with-materialized-views/)
At the very least, you'll want to change `SECRET_KEY` and `SQLALCHEMY_DATABASE_URI`. Continue reading for more about each of these.
## Specifying a SECRET_KEY
### Adding an initial SECRET_KEY
Superset requires a user-specified SECRET_KEY to start up. This requirement was [added in version 2.1.0 to force secure configurations](https://preset.io/blog/superset-security-update-default-secret_key-vulnerability/). Add a strong SECRET_KEY to your `superset_config.py` file like:
Properly setting up metadata store is beyond the scope of this documentation. We recommend
using a hosted managed service such as [Amazon RDS](https://aws.amazon.com/rds/) or
[Google Cloud Databases](https://cloud.google.com/products/databases?hl=en) to handle
service and supporting infrastructure and backup strategy.
:::
To configure Superset metastore set `SQLALCHEMY_DATABASE_URI` config key on `superset_config`
to the appropriate connection string.
## Running on a WSGI HTTP Server
While you can run Superset on NGINX or Apache, we recommend using Gunicorn in async mode. This
enables impressive concurrency even and is fairly easy to install and configure. Please refer to the
documentation of your preferred technology to set up this Flask WSGI application in a way that works
well in your environment. Here’s an async setup known to work well in production:
```
-w 10 \
-k gevent \
--worker-connections 1000 \
--timeout 120 \
-b 0.0.0.0:6666 \
--limit-request-line 0 \
--limit-request-field_size 0 \
--statsd-host localhost:8125 \
"superset.app:create_app()"
```
Refer to the [Gunicorn documentation](https://docs.gunicorn.org/en/stable/design.html) for more
information. _Note that the development web server (`superset run` or `flask run`) is not intended
for production use._
If you're not using Gunicorn, you may want to disable the use of `flask-compress` by setting
`COMPRESS_REGISTER = False` in your `superset_config.py`.
Currently, the Google BigQuery Python SDK is not compatible with `gevent`, due to some dynamic monkeypatching on python core library by `gevent`.
So, when you use `BigQuery` datasource on Superset, you have to use `gunicorn` worker type except `gevent`.
## HTTPS Configuration
You can configure HTTPS upstream via a load balancer or a reverse proxy (such as nginx) and do SSL/TLS Offloading before traffic reaches the Superset application. In this setup, local traffic from a Celery worker taking a snapshot of a chart for Alerts & Reports can access Superset at a `http://` URL, from behind the ingress point.
You can also configure [SSL in Gunicorn](https://docs.gunicorn.org/en/stable/settings.html#ssl) (the Python webserver) if you are using an official Superset Docker image.
## Configuration Behind a Load Balancer
If you are running superset behind a load balancer or reverse proxy (e.g. NGINX or ELB on AWS), you
may need to utilize a healthcheck endpoint so that your load balancer knows if your superset
instance is running. This is provided at `/health` which will return a 200 response containing “OK”
if the webserver is running.
If the load balancer is inserting `X-Forwarded-For/X-Forwarded-Proto` headers, you should set
`ENABLE_PROXY_FIX = True` in the superset config file (`superset_config.py`) to extract and use the
headers.
In case the reverse proxy is used for providing SSL encryption, an explicit definition of the
`X-Forwarded-Proto` may be required. For the Apache webserver this can be set as follows:
```
RequestHeader set X-Forwarded-Proto "https"
```
## Configuring the application root
*Please be advised that this feature is in BETA.*
Superset supports running the application under a non-root path. The root path
prefix can be specified in one of three ways:
- Customizing the [Flask entrypoint](https://github.com/apache/superset/blob/master/superset/app.py#L29)
by passing the `superset_app_root` variable; or
- Setting the `SUPERSET_APP_ROOT` environment variable to the desired prefix; or
- Setting the `APPLICATION_ROOT` config in your `superset_config.py` file.
Note, the prefix should start with a `/`.
### Customizing the Flask entrypoint
To configure a prefix, e.g `/analytics`, pass the `superset_app_root` argument to
`create_app` when calling flask run either through the `FLASK_APP`
# Will allow user self registration, allowing to create Flask users from Authorized User
AUTH_USER_REGISTRATION = True
# The default user self registration role
AUTH_USER_REGISTRATION_ROLE = "Public"
```
In case you want to assign the `Admin` role on new user registration, it can be assigned as follows:
```python
AUTH_USER_REGISTRATION_ROLE = "Admin"
```
If you encounter the [issue](https://github.com/apache/superset/issues/13243) of not being able to list users from the Superset main page settings, although a newly registered user has an `Admin` role, please re-run `superset init` to sync the required permissions. Below is the command to re-run `superset init` using docker compose.
```
docker-compose exec superset superset init
```
Then, create a `CustomSsoSecurityManager` that extends `SupersetSecurityManager` and overrides
`oauth_user_info`:
```python
import logging
from superset.security import SupersetSecurityManager
class CustomSsoSecurityManager(SupersetSecurityManager):
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
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.
To use LDAP you must install the [python-ldap](https://www.python-ldap.org/en/latest/installing.html) package.
See [FAB's LDAP documentation](https://flask-appbuilder.readthedocs.io/en/latest/security.html#authentication-ldap)
for details.
## Mapping LDAP or OAUTH groups to Superset roles
AUTH_ROLES_MAPPING in Flask-AppBuilder is a dictionary that maps from LDAP/OAUTH group names to FAB roles.
It is used to assign roles to users who authenticate using LDAP or OAuth.
### Mapping OAUTH groups to Superset roles
The following `AUTH_ROLES_MAPPING` dictionary would map the OAUTH group "superset_users" to the Superset roles "Gamma" as well as "Alpha", and the OAUTH group "superset_admins" to the Superset role "Admin".
```python
AUTH_ROLES_MAPPING = {
"superset_users": ["Gamma","Alpha"],
"superset_admins": ["Admin"],
}
```
### Mapping LDAP groups to Superset roles
The following `AUTH_ROLES_MAPPING` dictionary would map the LDAP DN "cn=superset_users,ou=groups,dc=example,dc=com" to the Superset roles "Gamma" as well as "Alpha", and the LDAP DN "cn=superset_admins,ou=groups,dc=example,dc=com" to the Superset role "Admin".
Note: This requires `AUTH_LDAP_SEARCH` to be set. For more details, please see the [FAB Security documentation](https://flask-appbuilder.readthedocs.io/en/latest/security.html).
### Syncing roles at login
You can also use the `AUTH_ROLES_SYNC_AT_LOGIN` configuration variable to control how often Flask-AppBuilder syncs the user's roles with the LDAP/OAUTH groups. If `AUTH_ROLES_SYNC_AT_LOGIN` is set to True, Flask-AppBuilder will sync the user's roles each time they log in. If `AUTH_ROLES_SYNC_AT_LOGIN` is set to False, Flask-AppBuilder will only sync the user's roles when they first register.
## Flask app Configuration Hook
`FLASK_APP_MUTATOR` is a configuration function that can be provided in your environment, receives
the app object and can alter it in any way. For example, add `FLASK_APP_MUTATOR` into your
`superset_config.py` to setup session cookie expiration time to 24 hours:
To support a diverse set of users, Superset has some features that are not enabled by default. For
example, some users have stronger security restrictions, while some others may not. So Superset
allows users to enable or disable some features by config. For feature owners, you can add optional
functionalities in Superset, but will be only affected by a subset of users.
You can enable or disable features with flag from `superset_config.py`:
```python
FEATURE_FLAGS = {
'PRESTO_EXPAND_DATA': False,
}
```
A current list of feature flags can be found in the [Feature Flags](/admin-docs/configuration/feature-flags) documentation.
## Security Configuration
### HASH_ALGORITHM
Controls the hashing algorithm used for internal checksums and cache keys (thumbnails, cache keys, etc.). The default is `sha256`, which satisfies environments with stricter compliance requirements (e.g., FedRAMP). Set it to `md5` to retain the legacy behavior from older Superset deployments:
```python
HASH_ALGORITHM = "sha256" # default; set to "md5" for legacy behavior
```
A companion `HASH_ALGORITHM_FALLBACKS` list (default: `["md5"]`) lets UUID lookups fall back to older algorithms, which enables gradual migration without breaking existing entries. Set it to `[]` for strict mode (use only `HASH_ALGORITHM`).
:::note
This setting affects internal Superset operations only, not user passwords or authentication tokens. Changing it in an existing deployment may invalidate cached values but does not require a database migration.
:::
## SQL Lab Query History Pruning
SQL Lab query history is stored in the metadata database and is **not** pruned by default. To trim older rows, enable the `prune_query` Celery beat task by uncommenting it in `CELERY_BEAT_SCHEDULE` and choosing a retention window:
Adjust `retention_period_days` to control how long query rows are kept. Companion opt-in tasks (`prune_logs`, `prune_tasks`) exist for pruning the logs and tasks tables; see the commented-out examples in `superset/config.py`. Without enabling these tasks, the metadata database will grow unbounded over time.
:::resources
- [Blog: Feature Flags in Apache Superset](https://preset.io/blog/feature-flags-in-apache-superset-and-preset/)
The superset cli allows you to import and export datasources from and to YAML. Datasources include
databases. The data is expected to be organized in the following hierarchy:
:::info
Superset's ZIP-based import/export also covers **dashboards**, **charts**, and **saved queries**, exercised through the UI and REST API. The [Dashboard Import Overwrite Behavior](#dashboard-import-overwrite-behavior) and [UUIDs in API Responses](#uuids-in-api-responses) sections below document the behavior shared across all asset types.
:::
```text
├──databases
| ├──database_1
| | ├──table_1
| | | ├──columns
| | | | ├──column_1
| | | | ├──column_2
| | | | └──... (more columns)
| | | └──metrics
| | | ├──metric_1
| | | ├──metric_2
| | | └──... (more metrics)
| | └── ... (more tables)
| └── ... (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:
```bash
superset export_datasources
```
To save your datasources to a ZIP file run:
```bash
superset export_datasources -f <filename>
```
By default, default (null) values will be omitted. Use the -d flag to include them. If you want back
references to be included (e.g. a column to include the table id it belongs to) use the -b flag.
Alternatively, you can export datasources using the UI:
1. Open **Sources -> Databases** to export all tables associated to a single or multiple databases.
(**Tables** for one or more tables)
2. Select the items you would like to export.
3. Click **Actions -> Export** to YAML
4. If you want to import an item that you exported through the UI, you will need to nest it inside
its parent element, e.g. a database needs to be nested under databases a table needs to be nested
inside a database element.
In order to obtain an **exhaustive list of all fields** you can import using the YAML import run:
```bash
superset export_datasource_schema
```
As a reminder, you can use the `-b` flag to include back references.
## Importing Datasources
In order to import datasources from a ZIP file, run:
```bash
superset import_datasources -p <path / filename>
```
The optional username flag **-u** sets the user used for the datasource import. The default is 'admin'. Example:
When importing a dashboard ZIP with the **overwrite** option enabled, any existing charts that are part of the dashboard are **replaced** rather than duplicated. This applies to:
- Charts whose UUID matches a chart already present in the target instance
- The full chart configuration (query, visualization type, columns, metrics) is replaced by the imported version
If you import without the overwrite flag, existing charts with conflicting UUIDs are left unchanged and the import skips those objects. Use overwrite when you want to push a fully updated dashboard (including chart definitions) from a development or staging environment to production.
## UUIDs in API Responses
The REST API POST endpoints for **datasets**, **charts**, and **dashboards** include the auto-generated `uuid` field in the response body:
```json
{
"id": 42,
"uuid": "b8a8d5c3-1234-4abc-8def-0123456789ab",
...
}
```
UUIDs remain stable across import/export cycles and can be used for cross-environment workflows — for example, recording a UUID when creating a chart in development and using it to identify the matching chart after importing into production.
## Legacy Importing Datasources
### From older versions of Superset to current version
When using Superset version 4.x.x to import from an older version (2.x.x or 3.x.x) importing is supported as the command `legacy_import_datasources` and expects a JSON or directory of JSONs. The options are `-r` for recursive and `-u` for specifying a user. Example of legacy import without options:
```bash
superset legacy_import_datasources -p <path or filename>
```
### From older versions of Superset to older versions
When using an older Superset version (2.x.x & 3.x.x) of Superset, the command is `import_datasources`. ZIP and YAML files are supported and to switch between them the feature flag `VERSIONED_EXPORT` is used. When `VERSIONED_EXPORT` is `True`, `import_datasources` expects a ZIP file, otherwise YAML. Example:
```bash
superset import_datasources -p <path or filename>
```
When `VERSIONED_EXPORT` is `False`, if you supply a path all files ending with **yaml** or **yml** will be parsed. You can apply
additional flags (e.g. to search the supplied path recursively):
```bash
superset import_datasources -p <path> -r
```
The sync flag **-s** takes parameters in order to sync the supplied elements with your file. Be
careful this can delete the contents of your meta database. Example:
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