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49 changes: 0 additions & 49 deletions .github/ISSUE_TEMPLATE/internal-orch-team.yml

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39 changes: 24 additions & 15 deletions website/docs/docs/build/snapshots.md
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Expand Up @@ -36,12 +36,6 @@ This order is now in the "shipped" state, but we've lost the information about w

## Configuring snapshots

:::info Previewing or compiling snapshots in IDE not supported

It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud. Instead, [run the `dbt snapshot` command](#how-snapshots-work) in the IDE.

:::

<VersionBlock lastVersion="1.8" >

- To configure snapshots in versions 1.8 and earlier, refer to [Configure snapshots in versions 1.8 and earlier](#configure-snapshots-in-versions-18-and-earlier). These versions use an older syntax where snapshots are defined within a snapshot block in a `.sql` file, typically located in your `snapshots` directory.
Expand Down Expand Up @@ -70,7 +64,7 @@ snapshots:
[updated_at](/reference/resource-configs/updated_at): column_name
[invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes): true | false
[snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): dictionary

[dbt_valid_to_current](/reference/resource-configs/dbt_valid_to_current): string
```
</File>
Expand All @@ -87,13 +81,14 @@ The following table outlines the configurations available for snapshots:
| [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
| [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
| [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
| [dbt_valid_to_current](/reference/resource-configs/dbt_valid_to_current) | Set a custom indicator for the value of `dbt_valid_to` in current snapshot records (like a future date). By default, this value is `NULL`. When configured, dbt will use the specified value instead of `NULL` for `dbt_valid_to` for current records in the snapshot table.| No | string |
| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | dictionary |


- In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot across users and environment. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments. In v1.9, `target_schema` became optional, allowing snapshots to be environment-aware. By default, without `target_schema` or `target_database` defined, snapshots now use the `generate_schema_name` or `generate_database_name` macros to determine where to build. Developers can still set a custom location with [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database) configs, consistent with other resource types.
- A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).
- You can configure snapshots from both the `dbt_project.yml` file and a `config` block. For more information, refer to the [configuration docs](/reference/snapshot-configs).


### Add a snapshot to your project

To add a snapshot to your project follow these steps. For users on versions 1.8 and earlier, refer to [Configure snapshots in versions 1.8 and earlier](#configure-snapshots-in-versions-18-and-earlier).
Expand All @@ -112,6 +107,7 @@ To add a snapshot to your project follow these steps. For users on versions 1.8
unique_key: id
strategy: timestamp
updated_at: updated_at
dbt_valid_to_current: "to_date('9999-12-31')" # Specifies that current records should have `dbt_valid_to` set to `'9999-12-31'` instead of `NULL`.

```
</File>
Expand Down Expand Up @@ -172,6 +168,15 @@ This strategy handles column additions and deletions better than the `check` str

</Expandable>


<Expandable alt_header="Use dbt_valid_to_current for easier date range queries">

By default, `dbt_valid_to` is `NULL` for current records. However, if you set the [`dbt_valid_to_current` configuration](/reference/resource-configs/dbt_valid_to_current) (available in Versionless and 1.9 and higher), `dbt_valid_to` will be set to your specified value (such as `9999-12-31`) for current records.

This allows for straightforward date range filtering.

</Expandable>

<Expandable alt_header="Ensure your unique key is really unique">

The unique key is used by dbt to match rows up, so it's extremely important to make sure this key is actually unique! If you're snapshotting a source, I'd recommend adding a uniqueness test to your source ([example](https://github.com/dbt-labs/jaffle_shop/blob/8e7c853c858018180bef1756ec93e193d9958c5b/models/staging/schema.yml#L26)).
Expand Down Expand Up @@ -204,13 +209,15 @@ Snapshots can't be rebuilt. Because of this, it's a good idea to put snapshots i
### How snapshots work

When you run the [`dbt snapshot` command](/reference/commands/snapshot):
* **On the first run:** dbt will create the initial snapshot table — this will be the result set of your `select` statement, with additional columns including `dbt_valid_from` and `dbt_valid_to`. All records will have a `dbt_valid_to = null`.
* **On the first run:** dbt will create the initial snapshot table — this will be the result set of your `select` statement, with additional columns including `dbt_valid_from` and `dbt_valid_to`. All records will have a `dbt_valid_to = null` or the value specified in [`dbt_valid_to_current`](/reference/resource-configs/dbt_valid_to_current) (available in Versionless and 1.9 and higher) if configured.
* **On subsequent runs:** dbt will check which records have changed or if any new records have been created:
- The `dbt_valid_to` column will be updated for any existing records that have changed
- The updated record and any new records will be inserted into the snapshot table. These records will now have `dbt_valid_to = null`

Note, these column names can be customized to your team or organizational conventions using the [snapshot_meta_column_names](#snapshot-meta-fields) config.
- The `dbt_valid_to` column will be updated for any existing records that have changed.
- The updated record and any new records will be inserted into the snapshot table. These records will now have `dbt_valid_to = null` or the value configured in `dbt_valid_to_current` (available in Versionless and 1.9 and higher).

#### Note
- These column names can be customized to your team or organizational conventions using the [snapshot_meta_column_names](#snapshot-meta-fields) config.
- Use the `dbt_valid_to_current` config to set a custom indicator for the value of `dbt_valid_to` in current snapshot records (like a future date such as `9999-12-31`). By default, this value is `NULL`. When set, dbt will use this specified value instead of `NULL` for `dbt_valid_to` for current records in the snapshot table.

Snapshots can be referenced in downstream models the same way as referencing models — by using the [ref](/reference/dbt-jinja-functions/ref) function.

## Detecting row changes
Expand Down Expand Up @@ -394,12 +401,14 @@ snapshots:

Snapshot <Term id="table">tables</Term> will be created as a clone of your source dataset, plus some additional meta-fields*.

Starting in 1.9 or with [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), these column names can be customized to your team or organizational conventions via the [`snapshot_meta_column_names`](/reference/resource-configs/snapshot_meta_column_names) config.
Starting in 1.9 or with [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless):
- These column names can be customized to your team or organizational conventions using the [`snapshot_meta_column_names`](/reference/resource-configs/snapshot_meta_column_names) config.
- Use the `dbt_valid_to_current` config to set a custom indicator for the value of `dbt_valid_to` in current snapshot records (like a future date such as `9999-12-31`). By default, this value is `NULL`. When set, dbt will use this specified value instead of `NULL` for `dbt_valid_to` for current records in the snapshot table.

| Field | Meaning | Usage |
| -------------- | ------- | ----- |
| dbt_valid_from | The timestamp when this snapshot row was first inserted | This column can be used to order the different "versions" of a record. |
| dbt_valid_to | The timestamp when this row became invalidated. | The most recent snapshot record will have `dbt_valid_to` set to `null`. |
| dbt_valid_to | The timestamp when this row became invalidated. <br /> For current records, this is `NULL` by default <VersionBlock firstVersion="1.9"> or the value specified in `dbt_valid_to_current`.</VersionBlock> | The most recent snapshot record will have `dbt_valid_to` set to `NULL` <VersionBlock firstVersion="1.9"> or the specified value. </VersionBlock> |
| dbt_scd_id | A unique key generated for each snapshotted record. | This is used internally by dbt |
| dbt_updated_at | The updated_at timestamp of the source record when this snapshot row was inserted. | This is used internally by dbt |

Expand Down
5 changes: 3 additions & 2 deletions website/docs/docs/dbt-versions/release-notes.md
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Expand Up @@ -19,7 +19,8 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
\* The official release date for this new format of release notes is May 15th, 2024. Historical release notes for prior dates may not reflect all available features released earlier this year or their tenancy availability.

## November 2024
- **New**: Use the `event_time` configuration to specify "at what time did the row occur." This configuration is required for [Incremental microbatch](/docs/build/incremental-microbatch) and can be added to ensure you're comparing overlapping times in [Advanced CI's compare changes](/docs/deploy/advanced-ci). Available in dbt Cloud Versionless and dbt Core v1.9 and higher. Refer to [event_time](/reference/resource-configs/event-time) for more information.
- **New**: Use the [`dbt_valid_to_current`](/reference/resource-configs/dbt_valid_to_current) config to set a custom indicator for the value of `dbt_valid_to` in current snapshot records (like a future date). By default, this value is `NULL`. When configured, dbt will use the specified value instead of `NULL` for `dbt_valid_to` for current records in the snapshot table. This feature is available in dbt Cloud Versionless and dbt Core v1.9 and later.
- **New**: Use the [`event_time`](/reference/resource-configs/dbt_valid_to_current) configuration to specify "at what time did the row occur." This configuration is required for [Incremental microbatch](/docs/build/incremental-microbatch) and can be added to ensure you're comparing overlapping times in [Advanced CI's compare changes](/docs/deploy/advanced-ci). Available in dbt Cloud Versionless and dbt Core v1.9 and higher.
- **Fix**: This update improves [dbt Semantic Layer Tableau integration](/docs/cloud-integrations/semantic-layer/tableau) making query parsing more reliable. Some key fixes include:
- Error messages for unsupported joins between saved queries and ALL tables.
- Improved handling of queries when multiple tables are selected in a data source.
Expand Down Expand Up @@ -52,7 +53,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
- [Python SDK](https://docs.getdbt.com/docs/dbt-cloud-apis/sl-python) is now generally available

</Expandable>

- **Behavior change:** [Multi-factor authentication](/docs/cloud/manage-access/mfa) is now enforced on all users who log in with username and password credentials.
- **Enhancement**: The dbt Semantic Layer JDBC now allows users to paginate `semantic_layer.metrics()` and `semantic_layer.dimensions()` for metrics and dimensions using `page_size` and `page_number` parameters. Refer to [Paginate metadata calls](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) for more information.
- **Enhancement**: The dbt Semantic Layer JDBC now allows you to filter your metrics to include only those that contain a specific substring, using the `search` parameter. If no substring is provided, the query returns all metrics. Refer to [Fetch metrics by substring search](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) for more information.
Expand Down
116 changes: 116 additions & 0 deletions website/docs/reference/resource-configs/dbt_valid_to_current.md
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@@ -0,0 +1,116 @@
---
resource_types: [snapshots]
description: "Use the `dbt_valid_to_current` config to set a custom indicator for the value of `dbt_valid_to` in current snapshot records"
datatype: "{<dictionary>}"
default_value: {NULL}
id: "dbt_valid_to_current"
---

Available from dbt v1.9 or with [Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) dbt Cloud.

<File name='snapshots/schema.yml'>

```yaml
snapshots:
my_project:
+dbt_valid_to_current: "to_date('9999-12-31')"

```

</File>

<File name='snapshots/<filename>.sql'>

```sql
{{
config(
unique_key='id',
strategy='timestamp',
updated_at='updated_at',
dbt_valid_to_current='to_date('9999-12-31')'
)
}}
```

</File>

<File name='dbt_project.yml'>

```yml
snapshots:
[<resource-path>](/reference/resource-configs/resource-path):
+dbt_valid_to_current: "to_date('9999-12-31')"
```
</File>
## Description
Use the `dbt_valid_to_current` config to set a custom indicator for the value of `dbt_valid_to` in current snapshot records (like a future date). By default, this value is `NULL`. When set, dbt will use this specified value instead of `NULL` for `dbt_valid_to` for current records in the snapshot table.

This approach makes it easier to assign a custom date, work in a join, or perform range-based filtering that requires an end date.

:::warning

To avoid any unintentional data modification, dbt will _not_ automatically adjust the current value in the existing `dbt_valid_to` column. Existing current records will still have `dbt_valid_to` set to `NULL`.

Any new records inserted _after_ applying the `dbt_valid_to_current` configuration will have `dbt_valid_to` set to the specified value (like '9999-12-31'), instead of the default `NULL` value.

:::

### Considerations

- **Date expressions** &mdash; Provide a hardcoded date expression compatible with your data platform, such as to_date`('9999-12-31')`. Note that syntax may vary by warehouse (for example, `to_date('YYYY-MM-DD'`) or `date(YYYY, MM, DD)`).

- **Jinja limitation** &mdash; `dbt_valid_to_current` only accepts static SQL expressions. Jinja expressions (like `{{ var('my_future_date') }}`) are not supported.

- **Deferral and `state:modified`** &mdash; Changes to `dbt_valid_to_current` are compatible with deferral and `--select state:modified`. When this configuration changes, it'll appear in `state:modified` selections, raising a warning to manually make the necessary snapshot updates.

## Default

By default, `dbt_valid_to` is set to `NULL` for current (most recent) records in your snapshot table. This means that these records are still valid and have no defined end date.

If you prefer to use a specific value instead of `NULL` for `dbt_valid_to` in current and future records, you can use the `dbt_valid_to_current` configuration option. For example, setting a date in the far future, `9999-12-31`.

The value assigned to `dbt_valid_to_current` should be a string representing a valid date or timestamp, depending on your database's requirements. Use expressions that work within the data platform.


## Impact on snapshot records

When you set `dbt_valid_to_current`, it affects how dbt manages the `dbt_valid_to` column in your snapshot table:

- **For existing records** &mdash; To avoid any unintentional data modification, dbt will _not_ automatically adjust the current value in the existing `dbt_valid_to` column. Existing current records will still have `dbt_valid_to` set to `NULL`.

- **For new records** &mdash; Any new records inserted after applying the `dbt_valid_to_current` configuration will have `dbt_valid_to` set to the specified value (for example, '9999-12-31'), instead of `NULL`.

This means your snapshot table will have current records with `dbt_valid_to` values of both `NULL` (from existing data) and the new specified value (from new data). If you'd rather have consistent `dbt_valid_to` values for current records, you can manually update existing records in your snapshot table (where `dbt_valid_to` is `NULL`) to match your `dbt_valid_to_current` value.

## Example

<File name='snapshots/schema.yml'>

```yaml
snapshots:
- name: my_snapshot
config:
strategy: timestamp
updated_at: updated_at
dbt_valid_to_current: "to_date('9999-12-31')"
columns:
- name: dbt_valid_from
description: The timestamp when the record became valid.
- name: dbt_valid_to
description: >
The timestamp when the record ceased to be valid. For current records,
this is either `NULL` or the value specified in `dbt_valid_to_current`
(like `'9999-12-31'`).
```

</File>

The resulting snapshot table contains the configured dbt_valid_to column value:

| id | dbt_scd_id | dbt_updated_at | dbt_valid_from | dbt_valid_to |
| -- | -------------------- | -------------------- | -------------------- | -------------------- |
| 1 | 60a1f1dbdf899a4dd... | 2024-10-02 ... | 2024-10-02 ... | 9999-12-31 ... |
| 2 | b1885d098f8bcff51... | 2024-10-02 ... | 2024-10-02 ... | 9999-12-31 ... |
1 change: 1 addition & 0 deletions website/sidebars.js
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Expand Up @@ -979,6 +979,7 @@ const sidebarSettings = {
"reference/resource-configs/updated_at",
"reference/resource-configs/invalidate_hard_deletes",
"reference/resource-configs/snapshot_meta_column_names",
"reference/resource-configs/dbt_valid_to_current",
],
},
{
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