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100 changes: 99 additions & 1 deletion rust/cubesql/cubesql/src/compile/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -9482,7 +9482,105 @@ ORDER BY "source"."str0" ASC
}

#[tokio::test]
async fn test_tableau_filter_by_year() {
async fn test_filter_date_part_by_year() {
init_testing_logger();

fn assert_expected_result(query_plan: QueryPlan) {
assert_eq!(
query_plan.as_logical_plan().find_cube_scan().request,
V1LoadRequestQuery {
measures: Some(vec!["KibanaSampleDataEcommerce.count".to_string()]),
dimensions: Some(vec![]),
segments: Some(vec![]),
time_dimensions: Some(vec![V1LoadRequestQueryTimeDimension {
dimension: "KibanaSampleDataEcommerce.order_date".to_string(),
granularity: Some("year".to_string()),
date_range: Some(json!(vec![
"2019-01-01".to_string(),
"2019-12-31".to_string(),
])),
},]),
order: Some(vec![]),
..Default::default()
}
)
}

assert_expected_result(
convert_select_to_query_plan(
r#"
SELECT
COUNT(*) AS "count",
date_part('YEAR', "KibanaSampleDataEcommerce"."order_date") AS "yr:completedAt:ok"
FROM "public"."KibanaSampleDataEcommerce" "KibanaSampleDataEcommerce"
WHERE date_part('YEAR', "KibanaSampleDataEcommerce"."order_date") = 2019
GROUP BY 2
;"#
.to_string(),
DatabaseProtocol::PostgreSQL,
)
.await,
);

// Same as above, but with string literal.
assert_expected_result(
convert_select_to_query_plan(
r#"
SELECT
COUNT(*) AS "count",
date_part('YEAR', "KibanaSampleDataEcommerce"."order_date") AS "yr:completedAt:ok"
FROM "public"."KibanaSampleDataEcommerce" "KibanaSampleDataEcommerce"
WHERE date_part('YEAR', "KibanaSampleDataEcommerce"."order_date") = '2019'
GROUP BY 2
;"#
.to_string(),
DatabaseProtocol::PostgreSQL,
)
.await,
)
}

#[tokio::test]
async fn test_filter_extract_by_year() {
init_testing_logger();

let logical_plan = convert_select_to_query_plan(
r#"
SELECT
COUNT(*) AS "count",
EXTRACT(YEAR FROM "KibanaSampleDataEcommerce"."order_date") AS "yr:completedAt:ok"
FROM "public"."KibanaSampleDataEcommerce" "KibanaSampleDataEcommerce"
WHERE EXTRACT(YEAR FROM "KibanaSampleDataEcommerce"."order_date") = 2019
GROUP BY 2
;"#
.to_string(),
DatabaseProtocol::PostgreSQL,
)
.await
.as_logical_plan();

assert_eq!(
logical_plan.find_cube_scan().request,
V1LoadRequestQuery {
measures: Some(vec!["KibanaSampleDataEcommerce.count".to_string()]),
dimensions: Some(vec![]),
segments: Some(vec![]),
time_dimensions: Some(vec![V1LoadRequestQueryTimeDimension {
dimension: "KibanaSampleDataEcommerce.order_date".to_string(),
granularity: Some("year".to_string()),
date_range: Some(json!(vec![
"2019-01-01".to_string(),
"2019-12-31".to_string(),
])),
},]),
order: Some(vec![]),
..Default::default()
}
)
}

#[tokio::test]
async fn test_tableau_filter_extract_by_year() {
init_testing_logger();

let logical_plan = convert_select_to_query_plan(
Expand Down
131 changes: 99 additions & 32 deletions rust/cubesql/cubesql/src/compile/rewrite/rules/filters.rs
Original file line number Diff line number Diff line change
Expand Up @@ -1668,8 +1668,64 @@ impl RewriteRules for FilterRules {
"?filter_aliases",
),
),
// DATE_PART('year', "KibanaSampleDataEcommerce"."order_date") = 2019
transforming_rewrite(
"extract-year-equals",
filter_replacer(
binary_expr(
self.fun_expr(
"DatePart",
vec![literal_string("YEAR"), column_expr("?column")],
),
"=",
literal_expr("?year"),
),
"?alias_to_cube",
"?members",
"?filter_aliases",
),
filter_member("?member", "FilterMemberOp:inDateRange", "?values"),
self.transform_filter_extract_year_equals(
"?year",
"?column",
"?alias_to_cube",
"?members",
"?member",
"?values",
"?filter_aliases",
),
),
// Same as the rule above, but it uses different case for granularity.
// TODO: Remove, whenever we will fix bug with granularity cases. CORE-1761
transforming_rewrite(
"extract-year-equals-lower-case",
filter_replacer(
binary_expr(
self.fun_expr(
"DatePart",
vec![literal_string("year"), column_expr("?column")],
),
"=",
literal_expr("?year"),
),
"?alias_to_cube",
"?members",
"?filter_aliases",
),
filter_member("?member", "FilterMemberOp:inDateRange", "?values"),
self.transform_filter_extract_year_equals(
"?year",
"?column",
"?alias_to_cube",
"?members",
"?member",
"?values",
"?filter_aliases",
),
),
// TRUNC(EXTRACT(YEAR FROM "KibanaSampleDataEcommerce"."order_date")) = 2019
transforming_rewrite(
"extract-trunc-year-equals",
filter_replacer(
binary_expr(
self.fun_expr(
Expand Down Expand Up @@ -3579,43 +3635,54 @@ impl FilterRules {
.collect();
for year in years {
for aliases in aliases_es.iter() {
if let ScalarValue::Int64(Some(year)) = year {
if !(1000..=9999).contains(&year) {
continue;
}

if let Some((member_name, cube)) = Self::filter_member_name(
egraph,
subst,
&meta_context,
alias_to_cube_var,
column_var,
members_var,
&aliases,
) {
if !cube.contains_member(&member_name) {
let year = match year {
ScalarValue::Int64(Some(year)) => year,
ScalarValue::Int32(Some(year)) => year as i64,
ScalarValue::Utf8(Some(ref year_str)) if year_str.len() == 4 => {
if let Ok(year) = year_str.parse::<i64>() {
year
} else {
continue;
}
}
_ => continue,
};

subst.insert(
member_var,
egraph.add(LogicalPlanLanguage::FilterMemberMember(
FilterMemberMember(member_name.to_string()),
)),
);

subst.insert(
values_var,
egraph.add(LogicalPlanLanguage::FilterMemberValues(
FilterMemberValues(vec![
format!("{}-01-01", year),
format!("{}-12-31", year),
]),
)),
);
if !(1000..=9999).contains(&year) {
continue;
}

return true;
if let Some((member_name, cube)) = Self::filter_member_name(
egraph,
subst,
&meta_context,
alias_to_cube_var,
column_var,
members_var,
&aliases,
) {
if !cube.contains_member(&member_name) {
continue;
}

subst.insert(
member_var,
egraph.add(LogicalPlanLanguage::FilterMemberMember(
FilterMemberMember(member_name.to_string()),
)),
);

subst.insert(
values_var,
egraph.add(LogicalPlanLanguage::FilterMemberValues(
FilterMemberValues(vec![
format!("{}-01-01", year),
format!("{}-12-31", year),
]),
)),
);

return true;
}
}
}
Expand Down
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