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fix: Always use temporal type for dttm columns [ID-2] #17458

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merged 4 commits into from
Nov 22, 2021

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@kgabryje kgabryje commented Nov 17, 2021

SUMMARY

If a column is marked as is_dttm, always return it's generic type as TEMPORAL. This change fixes a bug in databases like Druid that sometimes return dates as string instead of datetime format.

BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF

TESTING INSTRUCTIONS

  1. Set a column as temporal in Edit Dataset modal
  2. Add that column to chart
  3. Verify that coltype returned for that column in response is equal to 2 - Temporal

ADDITIONAL INFORMATION

  • Has associated issue:
  • Required feature flags:
  • Changes UI
  • Includes DB Migration (follow approval process in SIP-59)
    • Migration is atomic, supports rollback & is backwards-compatible
    • Confirm DB migration upgrade and downgrade tested
    • Runtime estimates and downtime expectations provided
  • Introduces new feature or API
  • Removes existing feature or API

CC @jinghua-qa @junlincc

@kgabryje kgabryje marked this pull request as draft November 17, 2021 07:22
@pull-request-size pull-request-size bot added size/M and removed size/S labels Nov 17, 2021
@villebro villebro changed the title fix: Always use temporal type for dttm columns [WIP] fix: Always use temporal type for dttm columns Nov 17, 2021
@villebro villebro marked this pull request as ready for review November 17, 2021 09:31
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codecov bot commented Nov 17, 2021

Codecov Report

Merging #17458 (9ee7201) into master (e2a429b) will decrease coverage by 0.21%.
The diff coverage is 81.81%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #17458      +/-   ##
==========================================
- Coverage   76.94%   76.73%   -0.22%     
==========================================
  Files        1042     1042              
  Lines       56248    56257       +9     
  Branches     7784     7784              
==========================================
- Hits        43282    43168     -114     
- Misses      12707    12830     +123     
  Partials      259      259              
Flag Coverage Δ
hive ?
mysql 81.95% <81.81%> (-0.01%) ⬇️
postgres 81.96% <81.81%> (-0.01%) ⬇️
presto ?
python 82.05% <81.81%> (-0.42%) ⬇️
sqlite 81.64% <81.81%> (-0.01%) ⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
superset/charts/post_processing.py 67.74% <50.00%> (+0.26%) ⬆️
superset/charts/data/api.py 88.65% <75.00%> (+0.08%) ⬆️
superset/common/query_actions.py 92.85% <100.00%> (ø)
superset/utils/core.py 89.64% <100.00%> (-0.10%) ⬇️
superset/db_engines/hive.py 0.00% <0.00%> (-85.19%) ⬇️
superset/db_engine_specs/hive.py 69.49% <0.00%> (-16.99%) ⬇️
superset/db_engine_specs/presto.py 83.47% <0.00%> (-6.91%) ⬇️
superset/views/database/mixins.py 81.03% <0.00%> (-1.73%) ⬇️
superset/connectors/sqla/models.py 86.79% <0.00%> (-1.59%) ⬇️
superset/utils/webdriver.py 79.78% <0.00%> (-1.12%) ⬇️
... and 5 more

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@kgabryje kgabryje changed the title [WIP] fix: Always use temporal type for dttm columns fix: Always use temporal type for dttm columns [ID-2] Nov 19, 2021
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LGTM. frontend follow-up suggestion. If a string can't be parsed, we will use NaT or original text.

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@kgabryje kgabryje merged commit 1f8eff7 into apache:master Nov 22, 2021
AAfghahi pushed a commit that referenced this pull request Jan 10, 2022
* fix: Always use temporal type for dttm columns

* move inference and implement in chart postproc

* fix test

* fix test case

Co-authored-by: Ville Brofeldt <ville.v.brofeldt@gmail.com>
@mistercrunch mistercrunch added 🏷️ bot A label used by `supersetbot` to keep track of which PR where auto-tagged with release labels 🚢 1.5.0 labels Mar 13, 2024
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4 participants