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Merged
merged 8 commits into from
Jul 9, 2025
Merged

feat(tesseract): Rolling window with custom granularities without date range #9762

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feat(tesseract): Rolling window with custom granularities without dat…
waralexrom Jul 8, 2025
d0333bb
fix
waralexrom Jul 9, 2025
177b6ef
fix
waralexrom Jul 9, 2025
c81810d
fix
waralexrom Jul 9, 2025
a63579f
chore
waralexrom Jul 9, 2025
f689a58
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waralexrom Jul 9, 2025
c400f54
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waralexrom Jul 9, 2025
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waralexrom Jul 9, 2025
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2 changes: 1 addition & 1 deletion packages/cubejs-backend-shared/src/time.ts
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Expand Up @@ -107,7 +107,7 @@ export function parseSqlInterval(intervalStr: SqlInterval): ParsedInterval {
const unit = parts[i + 1];

// Remove ending 's' (e.g., 'days' -> 'day')
const singularUnit = (unit.endsWith('s') ? unit.slice(0, -1) : unit) as unitOfTime.DurationConstructor;
const singularUnit = ((unit.endsWith('s') ? unit.slice(0, -1) : unit).toLowerCase()) as unitOfTime.DurationConstructor;
interval[singularUnit] = value;
}

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2 changes: 0 additions & 2 deletions packages/cubejs-schema-compiler/src/adapter/BaseQuery.js
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Expand Up @@ -2048,7 +2048,6 @@ export class BaseQuery {
* Returns a tuple: (formatted interval, minimal time unit)
*/
intervalAndMinimalTimeUnit(interval) {
const intervalParsed = parseSqlInterval(interval);
const minGranularity = this.diffTimeUnitForInterval(interval);
return [interval, minGranularity];
}
Expand Down Expand Up @@ -4138,7 +4137,6 @@ export class BaseQuery {
sort: '{{ expr }} {% if asc %}ASC{% else %}DESC{% endif %} NULLS {% if nulls_first %}FIRST{% else %}LAST{% endif %}',
order_by: '{% if index %} {{ index }} {% else %} {{ expr }} {% endif %} {% if asc %}ASC{% else %}DESC{% endif %}{% if nulls_first %} NULLS FIRST{% endif %}',
cast: 'CAST({{ expr }} AS {{ data_type }})',
cast_to_string: 'CAST({{ expr }} AS TEXT)',
window_function: '{{ fun_call }} OVER ({% if partition_by_concat %}PARTITION BY {{ partition_by_concat }}{% if order_by_concat or window_frame %} {% endif %}{% endif %}{% if order_by_concat %}ORDER BY {{ order_by_concat }}{% if window_frame %} {% endif %}{% endif %}{% if window_frame %}{{ window_frame }}{% endif %})',
window_frame_bounds: '{{ frame_type }} BETWEEN {{ frame_start }} AND {{ frame_end }}',
in_list: '{{ expr }} {% if negated %}NOT {% endif %}IN ({{ in_exprs_concat }})',
Expand Down
5 changes: 2 additions & 3 deletions packages/cubejs-schema-compiler/src/adapter/BigqueryQuery.ts
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Expand Up @@ -127,10 +127,10 @@ export class BigqueryQuery extends BaseQuery {
return [`'${intervalParsed.hour}:${intervalParsed.minute}:${intervalParsed.second}' HOUR TO SECOND`, 'SECOND'];
} else if (intervalParsed.minute && intervalParsed.second && intKeys === 2) {
return [`'${intervalParsed.minute}:${intervalParsed.second}' MINUTE TO SECOND`, 'SECOND'];
} else if (intervalParsed.millisecond && intKeys === 1) {
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@KSDaemon KSDaemon Jul 8, 2025

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Did we miss other cases like 10 hour / 11 minute / 25 second?....

return [`'${intervalParsed.millisecond}' MILLISECOND`, 'MILLISECOND'];
}

// No need to support microseconds.

throw new Error(`Cannot transform interval expression "${interval}" to BigQuery dialect`);
}

Expand Down Expand Up @@ -367,7 +367,6 @@ export class BigqueryQuery extends BaseQuery {
templates.types.double = 'FLOAT64';
templates.types.decimal = 'BIGDECIMAL({{ precision }},{{ scale }})';
templates.types.binary = 'BYTES';
templates.expressions.cast_to_string = 'CAST({{ expr }} AS STRING)';
templates.operators.is_not_distinct_from = 'IS NOT DISTINCT FROM';
templates.join_types.full = 'FULL';
templates.statements.time_series_select = 'SELECT DATETIME(TIMESTAMP(f)) date_from, DATETIME(TIMESTAMP(t)) date_to \n' +
Expand Down
6 changes: 4 additions & 2 deletions packages/cubejs-schema-compiler/src/adapter/PostgresQuery.ts
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Expand Up @@ -81,9 +81,11 @@ export class PostgresQuery extends BaseQuery {
templates.types.float = 'REAL';
templates.types.double = 'DOUBLE PRECISION';
templates.types.binary = 'BYTEA';
templates.tesseract.support_generated_series_for_custom_td = 'YES';
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@KSDaemon KSDaemon Jul 8, 2025

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Is it a configuration that is put into templates?

templates.operators.is_not_distinct_from = 'IS NOT DISTINCT FROM';
templates.statements.generated_time_series_select = 'SELECT d AS "date_from",\n' +
'd + interval {{ granularity }} - interval \'1 millisecond\' AS "date_to" \n' +
templates.statements.generated_time_series_select = 'SELECT {{ date_from }} AS "date_from",\n' +
'{{ date_to }} AS "date_to" \n' +
// 'd + interval {{ granularity }} - interval \'1 millisecond\' AS "date_to" \n' +
'FROM generate_series({{ start }}::timestamp, {{ end }}:: timestamp, {{ granularity }}::interval) d ';
templates.statements.generated_time_series_with_cte_range_source = 'SELECT d AS "date_from",\n' +
'd + interval {{ granularity }} - interval \'1 millisecond\' AS "date_to" \n' +
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1 change: 1 addition & 0 deletions packages/cubejs-schema-compiler/src/adapter/PrestodbQuery.ts
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Expand Up @@ -155,6 +155,7 @@ export class PrestodbQuery extends BaseQuery {
// Presto intervals have a YearMonth or DayTime type variants, but no universal type
delete templates.types.interval;
templates.types.binary = 'VARBINARY';
templates.tesseract.support_generated_series_for_custom_td = 'YES';
templates.tesseract.ilike = 'LOWER({{ expr }}) {% if negated %}NOT {% endif %} LIKE {{ pattern }}';
templates.filters.like_pattern = 'CONCAT({% if start_wild %}\'%\'{% else %}\'\'{% endif %}, LOWER({{ value }}), {% if end_wild %}\'%\'{% else %}\'\'{% endif %}) ESCAPE \'\\\'';
templates.statements.time_series_select = 'SELECT from_iso8601_timestamp(dates.f) date_from, from_iso8601_timestamp(dates.t) date_to \n' +
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3 changes: 0 additions & 3 deletions packages/cubejs-testing-drivers/fixtures/athena.json
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Expand Up @@ -185,9 +185,6 @@
"querying custom granularities ECommerce: count by three_months_by_march + dimension",
"querying custom granularities (with preaggregation) ECommerce: totalQuantity by half_year + no dimension",
"querying custom granularities (with preaggregation) ECommerce: totalQuantity by half_year + dimension",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByUnbounded",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByTrailing",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading",
"pre-aggregations Customers: running total without time dimension",
"querying BigECommerce: totalProfitYearAgo",
"SQL API: post-aggregate percentage of total",
Expand Down
2 changes: 2 additions & 0 deletions packages/cubejs-testing-drivers/fixtures/bigquery.json
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Expand Up @@ -163,6 +163,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"SKIPPED SQL API (Need work)",
Expand All @@ -188,6 +189,7 @@
"querying ECommerce: total quantity, avg discount, total sales, total profit by product + order + total -- rounding in athena",
"querying ECommerce: total sales, total profit by month + order (date) + total -- doesn't work with the BigQuery",
"querying ECommerce: total quantity, avg discount, total sales, total profit by product + order + total -- noisy test",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",
"querying BigECommerce: null sum",
"querying BigECommerce: null boolean",
"querying BigECommerce: rolling window by 2 day without date range",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/clickhouse.json
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Expand Up @@ -200,6 +200,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"Custom Granularities ",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/databricks-jdbc.json
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Expand Up @@ -216,6 +216,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"Custom Granularities ",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/mssql.json
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Expand Up @@ -142,6 +142,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"SKIPPED SQL API (Need work)",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/mysql.json
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Expand Up @@ -138,6 +138,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"Custom Granularities ",
Expand Down
3 changes: 2 additions & 1 deletion packages/cubejs-testing-drivers/fixtures/postgres.json
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Expand Up @@ -162,7 +162,8 @@
"---------------------------------------",
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range"
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range"
],
"tesseractSkip": [
"querying Products: dimensions -- doesn't work wo ordering",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/redshift.json
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Expand Up @@ -174,6 +174,7 @@
"querying BigECommerce: rolling window by 2 day without date range",
"querying BigECommerce: rolling window by 2 month without date range",
"querying BigECommerce: rolling window YTD without date range",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"SKIPPED SQL API (Need work) ",
Expand Down
1 change: 1 addition & 0 deletions packages/cubejs-testing-drivers/fixtures/snowflake.json
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Expand Up @@ -232,6 +232,7 @@
"querying ECommerce: total quantity, avg discount, total sales, total profit by product + order + total -- noisy test",
"querying BigECommerce: null sum",
"querying BigECommerce: null boolean",
"querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range",

"---------------------------------------",
"Requires Tesseract. ",
Expand Down
13 changes: 13 additions & 0 deletions packages/cubejs-testing-drivers/src/tests/testQueries.ts
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Expand Up @@ -1974,6 +1974,19 @@ export function testQueries(type: string, { includeIncrementalSchemaSuite, exten
expect(response.rawData()).toMatchSnapshot();
});

execute('querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range', async () => {
const response = await client.load({
measures: [
'ECommerce.rollingCountByLeading',
],
timeDimensions: [{
dimension: 'ECommerce.customOrderDateNoPreAgg',
granularity: 'two_mo_by_feb',
}],
});
expect(response.rawData()).toMatchSnapshot();
});

execute('querying custom granularities (with preaggregation) ECommerce: totalQuantity by half_year + no dimension', async () => {
const response = await client.load({
measures: [
Expand Down
35 changes: 35 additions & 0 deletions packages/cubejs-testing-drivers/test/__snapshots__/athena-export-bucket-s3-full.test.ts.snap
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Expand Up @@ -9761,6 +9761,41 @@ Array [
]
`;

exports[`Queries with the @cubejs-backend/athena-driver querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range 1`] = `
Array [
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-02-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-02-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "12",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-04-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-04-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "6",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-06-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-06-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "19",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-08-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-08-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "16",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-10-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-10-01T10:00:00.000",
"ECommerce.rollingCountByLeading": null,
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-12-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-12-01T10:00:00.000",
"ECommerce.rollingCountByLeading": null,
},
]
`;

exports[`Queries with the @cubejs-backend/athena-driver querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByTrailing 1`] = `
Array [
Object {
Expand Down
40 changes: 40 additions & 0 deletions packages/cubejs-testing-drivers/test/__snapshots__/postgres-full.test.ts.snap
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Expand Up @@ -18465,6 +18465,46 @@ Array [
]
`;

exports[`Queries with the @cubejs-backend/postgres-driver querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByLeading without date range 1`] = `
Array [
Object {
"ECommerce.customOrderDateNoPreAgg": "2019-12-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2019-12-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "8",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-02-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-02-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "12",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-04-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-04-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "6",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-06-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-06-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "19",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-08-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-08-01T10:00:00.000",
"ECommerce.rollingCountByLeading": "16",
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-10-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-10-01T10:00:00.000",
"ECommerce.rollingCountByLeading": null,
},
Object {
"ECommerce.customOrderDateNoPreAgg": "2020-12-01T10:00:00.000",
"ECommerce.customOrderDateNoPreAgg.two_mo_by_feb": "2020-12-01T10:00:00.000",
"ECommerce.rollingCountByLeading": null,
},
]
`;

exports[`Queries with the @cubejs-backend/postgres-driver querying custom granularities ECommerce: count by two_mo_by_feb + no dimension + rollingCountByTrailing 1`] = `
Array [
Object {
Expand Down
5 changes: 3 additions & 2 deletions rust/cubesqlplanner/cubesqlplanner/src/physical_plan_builder/builder.rs
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Expand Up @@ -965,8 +965,9 @@ impl PhysicalPlanBuilder {
));
};

let ts_date_range = if self.plan_sql_templates.supports_generated_time_series()
&& granularity_obj.is_predefined_granularity()
let ts_date_range = if self
.plan_sql_templates
.supports_generated_time_series(granularity_obj.is_predefined_granularity())
{
if let Some(date_range) = time_dimension_symbol
.get_range_for_time_series(date_range, self.query_tools.timezone())?
Expand Down
31 changes: 19 additions & 12 deletions rust/cubesqlplanner/cubesqlplanner/src/plan/time_series.rs
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Expand Up @@ -40,28 +40,35 @@ impl TimeSeries {
}

pub fn to_sql(&self, templates: &PlanSqlTemplates) -> Result<String, CubeError> {
if templates.supports_generated_time_series()
&& self.granularity.is_predefined_granularity()
{
if templates.supports_generated_time_series(self.granularity.is_predefined_granularity()) {
let interval_description = templates
.interval_and_minimal_time_unit(self.granularity.granularity_interval().clone())?;
.interval_and_minimal_time_unit(self.granularity.granularity_interval().to_sql())?;
if interval_description.len() != 2 {
return Err(CubeError::internal(
"Interval description must have 2 elements".to_string(),
));
}
let interval = interval_description[0].clone();
let interval = templates.interval_string(interval)?;
let minimal_time_unit = interval_description[1].clone();
match &self.date_range {
TimeSeriesDateRange::Filter(from_date, to_date) => {
let from_date = format!("'{}'", from_date);
let to_date = format!("'{}'", to_date);
let start = templates.quote_string(from_date)?;
let date_field = templates.quote_identifier("d")?;
let date_from = templates.time_stamp_cast(date_field.clone())?;
let end = templates.quote_string(to_date)?;
let date_to = format!(
"({})",
templates.add_interval(date_from.clone(), interval.clone())?
);
let date_to =
templates.subtract_interval(date_to, "1 millisecond".to_string())?;

templates.generated_time_series_select(
&from_date,
&to_date,
&interval,
&date_from,
&date_to,
&start,
&end,
&templates.interval_string(interval)?,
&self.granularity.granularity_offset(),
&minimal_time_unit,
)
Expand All @@ -73,7 +80,7 @@ impl TimeSeries {
&cte_name,
&min_date_name,
&max_date_name,
&interval,
&templates.interval_string(interval)?,
&minimal_time_unit,
)
}
Expand All @@ -99,7 +106,7 @@ impl TimeSeries {
)?
} else {
self.query_tools.base_tools().generate_custom_time_series(
self.granularity.granularity_interval().clone(),
self.granularity.granularity_interval().to_sql(),
vec![raw_from_date.clone(), raw_to_date.clone()],
self.granularity.origin_local_formatted(),
)?
Expand Down
18 changes: 10 additions & 8 deletions rust/cubesqlplanner/cubesqlplanner/src/planner/sql_templates/plan.rs
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Expand Up @@ -244,12 +244,8 @@ impl PlanSqlTemplates {
}

pub fn cast_to_string(&self, expr: &str) -> Result<String, CubeError> {
self.render.render_template(
"expressions/cast_to_string",
context! {
expr => expr,
},
)
let string_type = self.render.render_template("types/string", context! {})?;
self.cast(expr, &string_type)
}

pub fn count_distinct(&self, expr: &str) -> Result<String, CubeError> {
Expand Down Expand Up @@ -430,13 +426,19 @@ impl PlanSqlTemplates {
.contains_template("operators/is_not_distinct_from")
}

pub fn supports_generated_time_series(&self) -> bool {
pub fn supports_generated_time_series(&self, predifined_granularity: bool) -> bool {
self.render
.contains_template("statements/generated_time_series_select")
&& (predifined_granularity
|| self
.render
.contains_template("tesseract/support_generated_series_for_custom_td"))
}

pub fn generated_time_series_select(
&self,
date_from: &str,
date_to: &str,
start: &str,
end: &str,
granularity: &str,
Expand All @@ -445,7 +447,7 @@ impl PlanSqlTemplates {
) -> Result<String, CubeError> {
self.render.render_template(
"statements/generated_time_series_select",
context! { start => start, end => end, granularity => granularity, granularity_offset => granularity_offset, minimal_time_unit => minimal_time_unit },
context! {date_from => date_from, date_to => date_to, start => start, end => end, granularity => granularity, granularity_offset => granularity_offset, minimal_time_unit => minimal_time_unit },
)
}
pub fn generated_time_series_with_cte_range_source(
Expand Down
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