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Merge branch 'master' into john-bodley--remove-legacy-druid-logic
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john-bodley authored Jun 8, 2023
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3 changes: 3 additions & 0 deletions UPDATING.md
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Expand Up @@ -33,6 +33,9 @@ assists people when migrating to a new version.

### Breaking Changes

- [23933](https://github.com/apache/superset/pull/23933) Removes the deprecated Multiple Line Charts.
- [23741](https://github.com/apache/superset/pull/23741) Migrates the TreeMap chart and removes the legacy Treemap code.
- [23712](https://github.com/apache/superset/pull/23712) Migrates the Pivot Table v1 chart to v2 and removes v1 code.
- [24029](https://github.com/apache/superset/pull/24029) Removes the `user` and `username` arguments for the `QUERY_LOGGER` and `SQL_QUERY_MUTATOR` methods respectively. If the username for the current user is required, the `superset.utils.core.get_username` method should be used.
- [24128](https://github.com/apache/superset/pull/24128) The `RLS_BASE_RELATED_FIELD_FILTERS` config parameter has been removed. Now the Tables dropdown will feature the same tables that the user is able to see elsewhere in the application using the standard `DatasourceFilter`, and the Roles dropdown will be filtered using the filter defined in `EXTRA_RELATED_QUERY_FILTERS["role"]`.
- [23785](https://github.com/apache/superset/pull/23785) Deprecated the following feature flags: `CLIENT_CACHE`, `DASHBOARD_CACHE`, `DASHBOARD_FILTERS_EXPERIMENTAL`, `DASHBOARD_NATIVE_FILTERS`, `DASHBOARD_NATIVE_FILTERS_SET`, `DISABLE_DATASET_SOURCE_EDIT`, `ENABLE_EXPLORE_JSON_CSRF_PROTECTION`, `REMOVE_SLICE_LEVEL_LABEL_COLORS`. It also removed `DASHBOARD_EDIT_CHART_IN_NEW_TAB` as the feature is supported without the need for a feature flag.
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6 changes: 3 additions & 3 deletions docs/docs/intro.mdx
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Expand Up @@ -36,7 +36,7 @@ Superset provides:
- Code-free visualization builder to extract and present datasets
- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
- Out-of-the-box support for most SQL-speaking databases
- Out-of-the-box support for [most SQL-speaking databases](https://superset.apache.org/docs/databases/installing-database-drivers/)
- Seamless, in-memory asynchronous caching and queries
- An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
Expand All @@ -59,8 +59,8 @@ Superset is also cloud-native in the sense that it is flexible and lets you choo
- Results backend (Redis, S3, Memcached, etc.),
- Caching layer (Redis, Memcached, etc.)

Superset also works well with services like NewRelic, StatsD and DataDog, and has the ability to run
analytic workloads against most popular database technologies.
Superset also works well with [event-logging](https://superset.apache.org/docs/installation/event-logging/)
services like StatsD, NewRelic, and DataDog.

Superset is currently run at scale at many companies. For example, Superset is run in Airbnb’s
production environment inside Kubernetes and serves 600+ daily active users viewing over 100K charts
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