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Fix column declaration and enhance regexp_like support for Snowflake #107
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1a2e6cd
chore: properly declare `Id` column
lawrenceadams 140fd0d
feat: add snowflake+default specific similar to / regexp_like adapter
lawrenceadams 5fdf5d3
refactor: use new regexp_like adapter within measurement model
lawrenceadams 4e473eb
fix: use quote_columns to enable snowflake
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,11 @@ | ||
{%- macro regexp_like(subject, pattern) -%} | ||
{{ return(adapter.dispatch("regexp_like")(subject, pattern)) }} | ||
{%- endmacro -%} | ||
|
||
{% macro default__regexp_like(subject, pattern) %} | ||
{{ subject }} ~ '{{ pattern }}' | ||
{% endmacro %} | ||
|
||
{% macro snowflake__regexp_like(subject, pattern) %} | ||
regexp_like({{ subject }}, '{{ pattern }}') | ||
{% endmacro %} |
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the new macro is useful and we should keep it for future use (thanks!!!) - but looking at this gross regex, maybe we could use
safe_cast
here instead? https://docs.getdbt.com/reference/dbt-jinja-functions/cross-database-macros#safe_castThere was a problem hiding this comment.
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@katy-sadowski Had another look through the cross-DB macros and fairly sure there's no regular expression oriented ones sadly - I don't think there is a way around this without using custom dispatchers / macros like this
It raises the question of do we event want to add ❄️ support! I think it is nice to have - just wish they used the
~
operator...I looked into transpiring with SQLGlot, but I think thats a lot of work for relatively low yield - pulling out the DAG from
dbt
etc as per here #39 (comment) is quite a lot of work which isn't in the scope of the project (IMHO!)There was a problem hiding this comment.
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ahhh sorry i forgot about what you already said in #68 about safe_cast not being supported on all platforms. let's carry on with the regex approach! agree re: sqlglot.