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Support planning Map literal #11780

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31 changes: 28 additions & 3 deletions datafusion/sql/src/expr/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,8 @@ use datafusion_expr::planner::PlannerResult;
use datafusion_expr::planner::RawDictionaryExpr;
use datafusion_expr::planner::RawFieldAccessExpr;
use sqlparser::ast::{
CastKind, DictionaryField, Expr as SQLExpr, StructField, Subscript, TrimWhereField,
Value,
CastKind, DictionaryField, Expr as SQLExpr, MapEntry, StructField, Subscript,
TrimWhereField, Value,
};

use datafusion_common::{
Expand Down Expand Up @@ -628,6 +628,9 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
SQLExpr::Dictionary(fields) => {
self.try_plan_dictionary_literal(fields, schema, planner_context)
}
SQLExpr::Map(map) => {
self.try_plan_map_literal(map.entries, schema, planner_context)
}
_ => not_impl_err!("Unsupported ast node in sqltorel: {sql:?}"),
}
}
Expand Down Expand Up @@ -711,7 +714,29 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
PlannerResult::Original(expr) => raw_expr = expr,
}
}
not_impl_err!("Unsupported dictionary literal: {raw_expr:?}")
not_impl_err!("Dictionary not supported by ExprPlanner: {raw_expr:?}")
}

fn try_plan_map_literal(
&self,
entries: Vec<MapEntry>,
schema: &DFSchema,
planner_context: &mut PlannerContext,
) -> Result<Expr> {
let mut exprs: Vec<_> = entries
.into_iter()
.flat_map(|entry| vec![entry.key, entry.value].into_iter())
.map(|expr| self.sql_expr_to_logical_expr(*expr, schema, planner_context))
.collect::<Result<Vec<_>>>()?;
for planner in self.context_provider.get_expr_planners() {
match planner.plan_make_map(exprs)? {
PlannerResult::Planned(expr) => {
return Ok(expr);
}
PlannerResult::Original(expr) => exprs = expr,
}
}
not_impl_err!("MAP not supported by ExprPlanner: {exprs:?}")
}

// Handles a call to struct(...) where the arguments are named. For example
Expand Down
149 changes: 149 additions & 0 deletions datafusion/sqllogictest/test_files/map.slt
Original file line number Diff line number Diff line change
Expand Up @@ -310,3 +310,152 @@ VALUES (MAP(['a'], [1])), (MAP(['b'], [2])), (MAP(['c', 'a'], [3, 1]))
{a: 1}
{b: 2}
{c: 3, a: 1}

query ?
SELECT MAP {'a':1, 'b':2, 'c':3};
----
{a: 1, b: 2, c: 3}

query ?
SELECT MAP {'a':1, 'b':2, 'c':3 } FROM t;
----
{a: 1, b: 2, c: 3}
{a: 1, b: 2, c: 3}
{a: 1, b: 2, c: 3}

query I
SELECT MAP {'a':1, 'b':2, 'c':3}['a'];
----
1

query I
SELECT MAP {'a':1, 'b':2, 'c':3 }['a'] FROM t;
----
1
1
1

# TODO(https://github.com/sqlparser-rs/sqlparser-rs/pull/1361): support parsing an empty map. Enable this after upgrading sqlparser-rs.
# query ?
# SELECT MAP {};
# ----
# {}

# values contain null
query ?
SELECT MAP {'a': 1, 'b': null};
----
{a: 1, b: }

# keys contain null
query error DataFusion error: Execution error: map key cannot be null
SELECT MAP {'a': 1, null: 2}
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can we add some more negative and nested cases?

Map of map, map with values null, map with different types?


# array as key
query ?
SELECT MAP {[1,2,3]:1, [2,4]:2};
----
{[1, 2, 3]: 1, [2, 4]: 2}

# array with different type as key
# expect to fail due to type coercion error
query error
SELECT MAP {[1,2,3]:1, ['a', 'b']:2};

# array as value
query ?
SELECT MAP {'a':[1,2,3], 'b':[2,4]};
----
{a: [1, 2, 3], b: [2, 4]}

# array with different type as value
# expect to fail due to type coercion error
query error
SELECT MAP {'a':[1,2,3], 'b':['a', 'b']};

# struct as key
query ?
SELECT MAP {{'a':1, 'b':2}:1, {'a':3, 'b':4}:2};
----
{{a: 1, b: 2}: 1, {a: 3, b: 4}: 2}

# struct with different fields as key
# expect to fail due to type coercion error
query error
SELECT MAP {{'a':1, 'b':2}:1, {'c':3, 'd':4}:2};

# struct as value
query ?
SELECT MAP {'a':{'b':1, 'c':2}, 'b':{'b':3, 'c':4}};
----
{a: {b: 1, c: 2}, b: {b: 3, c: 4}}

# struct with different fields as value
# expect to fail due to type coercion error
query error
SELECT MAP {'a':{'b':1, 'c':2}, 'b':{'c':3, 'd':4}};

# map as key
query ?
SELECT MAP { MAP {1:'a', 2:'b'}:1, MAP {1:'c', 2:'d'}:2 };
----
{{1: a, 2: b}: 1, {1: c, 2: d}: 2}

# map with different keys as key
query ?
SELECT MAP { MAP {1:'a', 2:'b', 3:'c'}:1, MAP {2:'c', 4:'d'}:2 };
----
{{1: a, 2: b, 3: c}: 1, {2: c, 4: d}: 2}

# map as value
query ?
SELECT MAP {1: MAP {1:'a', 2:'b'}, 2: MAP {1:'c', 2:'d'} };
----
{1: {1: a, 2: b}, 2: {1: c, 2: d}}

# map with different keys as value
query ?
SELECT MAP {'a': MAP {1:'a', 2:'b', 3:'c'}, 'b': MAP {2:'c', 4:'d'} };
----
{a: {1: a, 2: b, 3: c}, b: {2: c, 4: d}}

# complex map for each row
query ?
SELECT MAP {'a': MAP {1:'a', 2:'b', 3:'c'}, 'b': MAP {2:'c', 4:'d'} } from t;
----
{a: {1: a, 2: b, 3: c}, b: {2: c, 4: d}}
{a: {1: a, 2: b, 3: c}, b: {2: c, 4: d}}
{a: {1: a, 2: b, 3: c}, b: {2: c, 4: d}}

# access map with non-existent key
query ?
SELECT MAP {'a': MAP {1:'a', 2:'b', 3:'c'}, 'b': MAP {2:'c', 4:'d'} }['c'];
----
NULL

# access map with null key
query error
SELECT MAP {'a': MAP {1:'a', 2:'b', 3:'c'}, 'b': MAP {2:'c', 4:'d'} }[NULL];

query ?
SELECT MAP { 'a': 1, 2: 3 };
----
{a: 1, 2: 3}

# TODO(https://github.com/apache/datafusion/issues/11785): fix accessing map with non-string key
# query ?
# SELECT MAP { 1: 'a', 2: 'b', 3: 'c' }[1];
# ----
# a

# TODO(https://github.com/apache/datafusion/issues/11785): fix accessing map with non-string key
# query ?
# SELECT MAP { MAP {1:'a', 2:'b'}:1, MAP {1:'c', 2:'d'}:2 }[MAP {1:'a', 2:'b'}];
# ----
# 1

# TODO(https://github.com/apache/datafusion/issues/11785): fix accessing map with non-string key
# query ?
# SELECT MAKE_MAP(1, null, 2, 33, 3, null)[2];
# ----
# 33