dbt_valid_to_current
Available in 1.9 or with Versionless dbt Cloud.
snapshots:
my_project:
+dbt_valid_to_current: "to_date('9999-12-31')"
{{
config(
unique_key='id',
strategy='timestamp',
updated_at='updated_at',
dbt_valid_to_current='to_date('9999-12-31')'
)
}}
snapshots:
<resource-path>:
+dbt_valid_to_current: "to_date('9999-12-31')"
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
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.
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 — 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'
) ordate(YYYY, MM, DD)
). -
Jinja limitation —
dbt_valid_to_current
only accepts static SQL expressions. Jinja expressions (like{{ var('my_future_date') }}
) are not supported. -
Deferral and
state:modified
— Changes todbt_valid_to_current
are compatible with deferral and--select state:modified
. When this configuration changes, it'll appear instate: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 — 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 havedbt_valid_to
set toNULL
. -
For new records — Any new records inserted after applying the
dbt_valid_to_current
configuration will havedbt_valid_to
set to the specified value (for example, '9999-12-31'), instead ofNULL
.
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
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'`).
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 ... |