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deprecate experimental MVs #48

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deprecate experimental MVs #48

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6 changes: 6 additions & 0 deletions README.md
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Expand Up @@ -11,6 +11,12 @@ In all cases, these are _demo_ projects, not intended as ready-to-use packages.

## [Materialized views](materialized-views)

> [!CAUTION]
> The implementation in this repo is no longer maintained.
> Materialized Views have been fully supported in dbt Cor since version `1.7` (November 2023).
> See [dbt docs: materialized views](https://docs.getdbt.com/docs/build/materializations#materialized-view) for more information.


This project adds support for `materialized_view` as a new dbt materialization. It includes implementations for Postgres, Redshift, Snowflake, and BigQuery, through a mix of new macros and overrides of built-in dbt macros. See the [project README](materialized-views/README.md) for details. For another take on dbt + materialized views, check out the [dbt-materialize](https://github.com/MaterializeInc/materialize/tree/main/misc/dbt-materialize#dbt-materialize) plugin.

## [Lambda views](lambda-views)
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5 changes: 5 additions & 0 deletions materialized-views/README.md
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@@ -1,5 +1,10 @@
## dbt_labs_materialized_views

> [!CAUTION]
> The implementation in this repo is no longer maintained.
> Materialized Views have been fully supported in dbt Cor since version `1.7` (November 2023).
> See [dbt docs: materialized views](https://docs.getdbt.com/docs/build/materializations#materialized-view) for more information.

`dbt_labs_materialized_views` is a dbt project containing materializations, helper macros, and some builtin macro overrides that enable use of materialized views in your dbt project. It takes a conceptual approach similar to that of the existing `incremental` materialization:
- In a "full refresh" run, drop and recreate the MV from scratch.
- Otherwise, "refresh" the MV as appropriate. Depending on the database, that could require DML (`refresh`) or no action.
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