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fix: create virtual table with exotic type #19714
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@@ -86,7 +83,7 @@ def get_physical_table_metadata( | |||
col.update( | |||
{ | |||
"type": "UNKNOWN", | |||
"generic_type": None, | |||
"type_generic": None, |
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this was a bycatch (see line 79/76 above with the correct key) when I worked on adding proper TypedDict
s for these objects (opening up separate PR for that one, but I thought it worthwhile to fix this error right away).
Codecov Report
@@ Coverage Diff @@
## master #19714 +/- ##
===========================================
- Coverage 66.51% 53.84% -12.67%
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Files 1684 1684
Lines 64560 64561 +1
Branches 6625 6630 +5
===========================================
- Hits 42939 34762 -8177
- Misses 19926 28101 +8175
- Partials 1695 1698 +3
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@@ -231,7 +219,7 @@ def load_or_create_tables( # pylint: disable=too-many-arguments | |||
name=column["name"], | |||
type=str(column["type"]), | |||
expression=conditional_quote(column["name"]), | |||
is_temporal=is_column_type_temporal(column["type"]), | |||
is_temporal=column["is_dttm"], |
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The previous version checked for date
, datetime
, time
and timedelta
. Is this equivalent?
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yes - this one is actually based on what the db engine spec says is temporal, so it's much more comprehensive (=can be customized per database).
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LGTM. Thanks for the fix!
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* fix: create virtual table with exotic type * fix test (cherry picked from commit 2b17ce2)
🏷️ preset:2022.15 |
* fix: create virtual table with exotic type * fix test
SUMMARY
This is an alternative implementation of #19701, which reuses the same data type inference logic that's already being used when creating physical datasets. While I did this fix I started adding types for the column type objects, but that turned into a HUGE rabbit hole going well beyond the scope of this PR. Therefore the changes in this PR are kept to a minimum to fix the issue at hand, but once this is merged I'll open up a PR that introduces proper types to to these code paths.
TESTING INSTRUCTIONS
select * from schema.table
ADDITIONAL INFORMATION