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chore(druid): Standardizing time grain transformations #17050

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Oct 12, 2021
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chore(druid): Standardizing time grain transformations #17050

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chore(druid): Standardizing time grain transformations
Oct 9, 2021
9f8b1b5
Update druid_tests.py
john-bodley Oct 9, 2021
4e8cb2a
Update druid_tests.py
john-bodley Oct 9, 2021
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20 changes: 10 additions & 10 deletions superset/db_engine_specs/druid.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,26 +41,26 @@ class DruidEngineSpec(BaseEngineSpec):

_time_grain_expressions = {
None: "{col}",
"PT1S": "FLOOR({col} TO SECOND)",
"PT1S": "TIME_FLOOR({col}, 'PT1S')",
"PT5S": "TIME_FLOOR({col}, 'PT5S')",
"PT30S": "TIME_FLOOR({col}, 'PT30S')",
"PT1M": "FLOOR({col} TO MINUTE)",
"PT1M": "TIME_FLOOR({col}, 'PT1M')",
"PT5M": "TIME_FLOOR({col}, 'PT5M')",
"PT10M": "TIME_FLOOR({col}, 'PT10M')",
"PT15M": "TIME_FLOOR({col}, 'PT15M')",
"PT0.5H": "TIME_FLOOR({col}, 'PT30M')",
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@villebro I've never understood why this is PT0.5H ("Half hour") as opposed to PT30M ("30 minute"). I was thinking of doing a pass to change these—which will require a database migration. Thoughts?

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I've wondered about this before, as well as why P0.25Y is used in Superset instead of P3M. I tried looking at ISO-8601 to see if there's any guidance there, but I can't find anything. So I think they might be used interchangeably. However, since the decimal character varies from country to country, I think we'd be better off replacing PT0.5H and P0.25Y with PT30M and P3M respectively.

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I think it's because originally it was called just "half an hour", so PT0.5H mad sense. It was a direct translation, and I was just looking for a way to standardize the intervals across DB engine specs.

"PT1H": "FLOOR({col} TO HOUR)",
"PT1H": "TIME_FLOOR({col}, 'PT1H')",
"PT6H": "TIME_FLOOR({col}, 'PT6H')",
"P1D": "FLOOR({col} TO DAY)",
"P1W": "FLOOR({col} TO WEEK)",
"P1M": "FLOOR({col} TO MONTH)",
"P0.25Y": "FLOOR({col} TO QUARTER)",
"P1Y": "FLOOR({col} TO YEAR)",
"P1D": "TIME_FLOOR({col}, 'P1D')",
"P1W": "TIME_FLOOR({col}, 'P1W')",
"P1M": "TIME_FLOOR({col}, 'P1M')",
"P0.25Y": "TIME_FLOOR({col}, 'P0.25Y')",
"P1Y": "TIME_FLOOR({col}, 'P1Y')",
"P1W/1970-01-03T00:00:00Z": (
"TIMESTAMPADD(DAY, 5, FLOOR(TIMESTAMPADD(DAY, 1, {col}) TO WEEK))"
"TIME_SHIFT(TIME_FLOOR(TIME_SHIFT({col}, 'P1D', 1), 'P1W'), 'P1D', 5)"
),
"1969-12-28T00:00:00Z/P1W": (
"TIMESTAMPADD(DAY, -1, FLOOR(TIMESTAMPADD(DAY, 1, {col}) TO WEEK))"
"TIME_SHIFT(TIME_FLOOR(TIME_SHIFT({col}, 'P1D', 1), 'P1W'), 'P1D', -1)"
),
}

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4 changes: 3 additions & 1 deletion tests/integration_tests/db_engine_specs/druid_tests.py
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Expand Up @@ -50,8 +50,10 @@ def test_timegrain_expressions(self):
col = "__time"
sqla_col = column(col)
test_cases = {
"PT1S": f"FLOOR({col} TO SECOND)",
"PT1S": f"TIME_FLOOR({col}, 'PT1S')",
"PT5M": f"TIME_FLOOR({col}, 'PT5M')",
"P1W/1970-01-03T00:00:00Z": f"TIME_SHIFT(TIME_FLOOR(TIME_SHIFT({col}, 'P1D', 1), 'P1W'), 'P1D', 5)",
"1969-12-28T00:00:00Z/P1W": f"TIME_SHIFT(TIME_FLOOR(TIME_SHIFT({col}, 'P1D', 1), 'P1W'), 'P1D', -1)",
}
for grain, expected in test_cases.items():
actual = DruidEngineSpec.get_timestamp_expr(
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