Skip to content

use 'lit' as the field name for literal values #16498

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 6 commits into
base: main
Choose a base branch
from
+20 −21
Open

use 'lit' as the field name for literal values #16498

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
c106512
use 'lit' as the field name for literal values
adriangb Jun 21, 2025
9f6f862
fmt
adriangb Jun 21, 2025
93668e8
fix failures
adriangb Jun 22, 2025
3bb1538
fix tests
adriangb Jun 22, 2025
162da31
complete
adriangb Jun 22, 2025
e4ec7e3
complete
adriangb Jun 22, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions datafusion/core/src/physical_planner.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2250,7 +2250,7 @@ mod tests {
// verify that the plan correctly casts u8 to i64
// the cast from u8 to i64 for literal will be simplified, and get lit(int64(5))
// the cast here is implicit so has CastOptions with safe=true
let expected = r#"BinaryExpr { left: Column { name: "c7", index: 2 }, op: Lt, right: Literal { value: Int64(5), field: Field { name: "5", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#;
let expected = r#"BinaryExpr { left: Column { name: "c7", index: 2 }, op: Lt, right: Literal { value: Int64(5), field: Field { name: "lit", data_type: Int64, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#;

assert!(format!("{exec_plan:?}").contains(expected));
Ok(())
Expand All @@ -2276,7 +2276,7 @@ mod tests {
&session_state,
);

let expected = r#"Ok(PhysicalGroupBy { expr: [(Column { name: "c1", index: 0 }, "c1"), (Column { name: "c2", index: 1 }, "c2"), (Column { name: "c3", index: 2 }, "c3")], null_expr: [(Literal { value: Utf8(NULL), field: Field { name: "NULL", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c1"), (Literal { value: Int64(NULL), field: Field { name: "NULL", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c2"), (Literal { value: Int64(NULL), field: Field { name: "NULL", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c3")], groups: [[false, false, false], [true, false, false], [false, true, false], [false, false, true], [true, true, false], [true, false, true], [false, true, true], [true, true, true]] })"#;
let expected = r#"Ok(PhysicalGroupBy { expr: [(Column { name: "c1", index: 0 }, "c1"), (Column { name: "c2", index: 1 }, "c2"), (Column { name: "c3", index: 2 }, "c3")], null_expr: [(Literal { value: Utf8(NULL), field: Field { name: "lit", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c1"), (Literal { value: Int64(NULL), field: Field { name: "lit", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c2"), (Literal { value: Int64(NULL), field: Field { name: "lit", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c3")], groups: [[false, false, false], [true, false, false], [false, true, false], [false, false, true], [true, true, false], [true, false, true], [false, true, true], [true, true, true]] })"#;

assert_eq!(format!("{cube:?}"), expected);

Expand All @@ -2303,7 +2303,7 @@ mod tests {
&session_state,
);

let expected = r#"Ok(PhysicalGroupBy { expr: [(Column { name: "c1", index: 0 }, "c1"), (Column { name: "c2", index: 1 }, "c2"), (Column { name: "c3", index: 2 }, "c3")], null_expr: [(Literal { value: Utf8(NULL), field: Field { name: "NULL", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c1"), (Literal { value: Int64(NULL), field: Field { name: "NULL", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c2"), (Literal { value: Int64(NULL), field: Field { name: "NULL", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c3")], groups: [[true, true, true], [false, true, true], [false, false, true], [false, false, false]] })"#;
let expected = r#"Ok(PhysicalGroupBy { expr: [(Column { name: "c1", index: 0 }, "c1"), (Column { name: "c2", index: 1 }, "c2"), (Column { name: "c3", index: 2 }, "c3")], null_expr: [(Literal { value: Utf8(NULL), field: Field { name: "lit", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c1"), (Literal { value: Int64(NULL), field: Field { name: "lit", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c2"), (Literal { value: Int64(NULL), field: Field { name: "lit", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }, "c3")], groups: [[true, true, true], [false, true, true], [false, false, true], [false, false, false]] })"#;

assert_eq!(format!("{rollup:?}"), expected);

Expand Down Expand Up @@ -2487,7 +2487,7 @@ mod tests {
let execution_plan = plan(&logical_plan).await?;
// verify that the plan correctly adds cast from Int64(1) to Utf8, and the const will be evaluated.

let expected = "expr: [(BinaryExpr { left: BinaryExpr { left: Column { name: \"c1\", index: 0 }, op: Eq, right: Literal { value: Utf8(\"a\"), field: Field { name: \"a\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }, op: Or, right: BinaryExpr { left: Column { name: \"c1\", index: 0 }, op: Eq, right: Literal { value: Utf8(\"1\"), field: Field { name: \"1\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }, fail_on_overflow: false }";
let expected = "expr: [(BinaryExpr { left: BinaryExpr { left: Column { name: \"c1\", index: 0 }, op: Eq, right: Literal { value: Utf8(\"a\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }, op: Or, right: BinaryExpr { left: Column { name: \"c1\", index: 0 }, op: Eq, right: Literal { value: Utf8(\"1\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }, fail_on_overflow: false }";

let actual = format!("{execution_plan:?}");
assert!(actual.contains(expected), "{}", actual);
Expand Down
4 changes: 2 additions & 2 deletions datafusion/physical-expr/src/expressions/dynamic_filters.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -342,15 +342,15 @@ mod test {
)
.unwrap();
let snap = dynamic_filter_1.snapshot().unwrap().unwrap();
insta::assert_snapshot!(format!("{snap:?}"), @r#"BinaryExpr { left: Column { name: "a", index: 0 }, op: Eq, right: Literal { value: Int32(42), field: Field { name: "42", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#);
insta::assert_snapshot!(format!("{snap:?}"), @r#"BinaryExpr { left: Column { name: "a", index: 0 }, op: Eq, right: Literal { value: Int32(42), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#);
let dynamic_filter_2 = reassign_predicate_columns(
Arc::clone(&dynamic_filter) as Arc<dyn PhysicalExpr>,
&filter_schema_2,
false,
)
.unwrap();
let snap = dynamic_filter_2.snapshot().unwrap().unwrap();
insta::assert_snapshot!(format!("{snap:?}"), @r#"BinaryExpr { left: Column { name: "a", index: 1 }, op: Eq, right: Literal { value: Int32(42), field: Field { name: "42", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#);
insta::assert_snapshot!(format!("{snap:?}"), @r#"BinaryExpr { left: Column { name: "a", index: 1 }, op: Eq, right: Literal { value: Int32(42), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, fail_on_overflow: false }"#);
// Both filters allow evaluating the same expression
let batch_1 = RecordBatch::try_new(
Arc::clone(&filter_schema_1),
Expand Down
8 changes: 4 additions & 4 deletions datafusion/physical-expr/src/expressions/in_list.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1451,31 +1451,31 @@ mod tests {
let sql_string = fmt_sql(expr.as_ref()).to_string();
let display_string = expr.to_string();
assert_eq!(sql_string, "a IN (a, b)");
assert_eq!(display_string, "Use a@0 IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"a\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"b\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");
assert_eq!(display_string, "Use a@0 IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");

// Test: a NOT IN ('a', 'b')
let list = vec![lit("a"), lit("b")];
let expr = in_list(Arc::clone(&col_a), list, &true, &schema)?;
let sql_string = fmt_sql(expr.as_ref()).to_string();
let display_string = expr.to_string();
assert_eq!(sql_string, "a NOT IN (a, b)");
assert_eq!(display_string, "a@0 NOT IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"a\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"b\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");
assert_eq!(display_string, "a@0 NOT IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");

// Test: a IN ('a', 'b', NULL)
let list = vec![lit("a"), lit("b"), lit(ScalarValue::Utf8(None))];
let expr = in_list(Arc::clone(&col_a), list, &false, &schema)?;
let sql_string = fmt_sql(expr.as_ref()).to_string();
let display_string = expr.to_string();
assert_eq!(sql_string, "a IN (a, b, NULL)");
assert_eq!(display_string, "Use a@0 IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"a\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"b\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(NULL), field: Field { name: \"NULL\", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");
assert_eq!(display_string, "Use a@0 IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(NULL), field: Field { name: \"lit\", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");

// Test: a NOT IN ('a', 'b', NULL)
let list = vec![lit("a"), lit("b"), lit(ScalarValue::Utf8(None))];
let expr = in_list(Arc::clone(&col_a), list, &true, &schema)?;
let sql_string = fmt_sql(expr.as_ref()).to_string();
let display_string = expr.to_string();
assert_eq!(sql_string, "a NOT IN (a, b, NULL)");
assert_eq!(display_string, "a@0 NOT IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"a\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"b\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(NULL), field: Field { name: \"NULL\", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");
assert_eq!(display_string, "a@0 NOT IN (SET) ([Literal { value: Utf8(\"a\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(\"b\"), field: Field { name: \"lit\", data_type: Utf8, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8(NULL), field: Field { name: \"lit\", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} } }])");

Ok(())
}
Expand Down
3 changes: 1 addition & 2 deletions datafusion/physical-expr/src/expressions/literal.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,8 +66,7 @@ impl Literal {
value: ScalarValue,
metadata: Option<FieldMetadata>,
) -> Self {
let mut field =
Field::new(format!("{value}"), value.data_type(), value.is_null());
let mut field = Field::new("lit".to_string(), value.data_type(), value.is_null());
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

If we see string allocations on the hot path, perhaps we could do something like cache the FieldRef for each datatype or something 🤔

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

(As a follow on PR, to be clera)


if let Some(metadata) = metadata {
field = metadata.add_to_field(field);
Expand Down
8 changes: 4 additions & 4 deletions datafusion/sqllogictest/test_files/array.slt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6082,7 +6082,7 @@ physical_plan
04)------AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
05)--------ProjectionExec: expr=[]
06)----------CoalesceBatchesExec: target_batch_size=8192
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "7f4b18de3cfeb9b4ac78c381ee2ad278", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "a", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "b", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "c", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
08)--------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
09)----------------LazyMemoryExec: partitions=1, batch_generators=[generate_series: start=1, end=100000, batch_size=8192]

Expand Down Expand Up @@ -6111,7 +6111,7 @@ physical_plan
04)------AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
05)--------ProjectionExec: expr=[]
06)----------CoalesceBatchesExec: target_batch_size=8192
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "7f4b18de3cfeb9b4ac78c381ee2ad278", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "a", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "b", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "c", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
08)--------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
09)----------------LazyMemoryExec: partitions=1, batch_generators=[generate_series: start=1, end=100000, batch_size=8192]

Expand Down Expand Up @@ -6140,7 +6140,7 @@ physical_plan
04)------AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
05)--------ProjectionExec: expr=[]
06)----------CoalesceBatchesExec: target_batch_size=8192
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "7f4b18de3cfeb9b4ac78c381ee2ad278", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "a", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "b", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "c", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
08)--------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
09)----------------LazyMemoryExec: partitions=1, batch_generators=[generate_series: start=1, end=100000, batch_size=8192]

Expand Down Expand Up @@ -6200,7 +6200,7 @@ physical_plan
04)------AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]
05)--------ProjectionExec: expr=[]
06)----------CoalesceBatchesExec: target_batch_size=8192
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "7f4b18de3cfeb9b4ac78c381ee2ad278", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "a", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "b", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "c", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([Literal { value: Utf8View("7f4b18de3cfeb9b4ac78c381ee2ad278"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("a"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("b"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("c"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
08)--------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
09)----------------LazyMemoryExec: partitions=1, batch_generators=[generate_series: start=1, end=100000, batch_size=8192]

Expand Down
Loading