Skip to content

Improve InListExpr plan display #17884

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

Merged
alamb merged 4 commits into from
Oct 4, 2025
Merged

Improve InListExpr plan display #17884

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
eaba977
Remove spurious `Use` in InListExpr display formatted output
pepijnve Oct 2, 2025
5d56597
Adapt tpch.slt expected results
pepijnve Oct 2, 2025
20f197e
Reduce verbosity of Display for InListExpr output
pepijnve Oct 2, 2025
00336c4
Silence clippy warning
pepijnve Oct 2, 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
29 changes: 21 additions & 8 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 @@ -306,18 +306,31 @@ impl InListExpr {
}
}

#[macro_export]
macro_rules! expr_vec_fmt {
( $ARRAY:expr ) => {{
$ARRAY
.iter()
.map(|e| format!("{e}"))
.collect::<Vec<String>>()
.join(", ")
}};
}

impl std::fmt::Display for InListExpr {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
let list = expr_vec_fmt!(self.list);

if self.negated {
if self.static_filter.is_some() {
write!(f, "{} NOT IN (SET) ({:?})", self.expr, self.list)
write!(f, "{} NOT IN (SET) ([{list}])", self.expr)
} else {
write!(f, "{} NOT IN ({:?})", self.expr, self.list)
write!(f, "{} NOT IN ([{list}])", self.expr)
}
} else if self.static_filter.is_some() {
write!(f, "Use {} IN (SET) ({:?})", self.expr, self.list)
write!(f, "{} IN (SET) ([{list}])", self.expr)
} else {
write!(f, "{} IN ({:?})", self.expr, self.list)
write!(f, "{} IN ([{list}])", self.expr)
}
}
}
Expand Down Expand Up @@ -1453,31 +1466,31 @@ 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: \"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: {} } }])");
assert_eq!(display_string, "a@0 IN (SET) ([a, b])");

// 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: \"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: {} } }])");
assert_eq!(display_string, "a@0 NOT IN (SET) ([a, b])");

// 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: \"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: {} } }])");
assert_eq!(display_string, "a@0 IN (SET) ([a, b, NULL])");

// 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: \"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: {} } }])");
assert_eq!(display_string, "a@0 NOT IN (SET) ([a, b, NULL])");
Copy link
Copy Markdown
Contributor

@alamb alamb Oct 2, 2025

Choose a reason for hiding this comment

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

200_d

Copy link
Copy Markdown
Contributor Author

@pepijnve pepijnve Oct 2, 2025

Choose a reason for hiding this comment

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

I've been wondering about the difference in formatting of literals between logical and physical plans. Logical will show Utf8("a") while physical shows just a. Out of scope for what I'm doing here, but would you want the type information in physical as well? For string literals in particular I think quotes would be a useful addition to avoid any possible confusion with column or table names.

Copy link
Copy Markdown
Contributor

@alamb alamb Oct 2, 2025

Choose a reason for hiding this comment

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

I agree

Copy link
Copy Markdown
Contributor Author

@pepijnve pepijnve Oct 3, 2025

Choose a reason for hiding this comment

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

I'll make a separate PR for that since it will probably affect quite a lot of the sql logic test results.


Ok(())
}
Expand Down
10 changes: 5 additions & 5 deletions datafusion/sqllogictest/test_files/array.slt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6408,7 +6408,7 @@ 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: "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: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([7f4b18de3cfeb9b4ac78c381ee2ad278, a, b, c])
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 @@ -6437,7 +6437,7 @@ 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: "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: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([7f4b18de3cfeb9b4ac78c381ee2ad278, a, b, c])
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 @@ -6466,7 +6466,7 @@ 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: "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: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([7f4b18de3cfeb9b4ac78c381ee2ad278, a, b, c])
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 @@ -6495,7 +6495,7 @@ 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: "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: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([7f4b18de3cfeb9b4ac78c381ee2ad278, a, b, c])
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 @@ -6524,7 +6524,7 @@ 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: "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: {} } }])
07)------------FilterExec: substr(md5(CAST(value@0 AS Utf8View)), 1, 32) IN ([7f4b18de3cfeb9b4ac78c381ee2ad278, a, b, c])
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
2 changes: 1 addition & 1 deletion datafusion/sqllogictest/test_files/tpch/plans/q16.slt.part
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -88,7 +88,7 @@ physical_plan
21)----------------------------------CoalesceBatchesExec: target_batch_size=8192
22)------------------------------------RepartitionExec: partitioning=Hash([p_partkey@0], 4), input_partitions=4
23)--------------------------------------CoalesceBatchesExec: target_batch_size=8192
24)----------------------------------------FilterExec: p_brand@1 != Brand#45 AND p_type@2 NOT LIKE MEDIUM POLISHED% AND Use p_size@3 IN (SET) ([Literal { value: Int32(49), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(14), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(23), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(45), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(19), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(3), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(36), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Int32(9), field: Field { name: "lit", data_type: Int32, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }])
24)----------------------------------------FilterExec: p_brand@1 != Brand#45 AND p_type@2 NOT LIKE MEDIUM POLISHED% AND p_size@3 IN (SET) ([49, 14, 23, 45, 19, 3, 36, 9])
25)------------------------------------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
26)--------------------------------------------DataSourceExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/sqllogictest/test_files/tpch/data/part.tbl]]}, projection=[p_partkey, p_brand, p_type, p_size], file_type=csv, has_header=false
27)--------------------------CoalesceBatchesExec: target_batch_size=8192
Expand Down
4 changes: 2 additions & 2 deletions datafusion/sqllogictest/test_files/tpch/plans/q19.slt.part
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,7 @@ physical_plan
03)----CoalescePartitionsExec
04)------AggregateExec: mode=Partial, gby=[], aggr=[sum(lineitem.l_extendedprice * Int64(1) - lineitem.l_discount)]
05)--------CoalesceBatchesExec: target_batch_size=8192
06)----------HashJoinExec: mode=Partitioned, join_type=Inner, on=[(l_partkey@0, p_partkey@0)], filter=p_brand@1 = Brand#12 AND p_container@3 IN ([Literal { value: Utf8View("SM CASE"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND l_quantity@0 >= Some(100),15,2 AND l_quantity@0 <= Some(1100),15,2 AND p_size@2 <= 5 OR p_brand@1 = Brand#23 AND p_container@3 IN ([Literal { value: Utf8View("MED BAG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND l_quantity@0 >= Some(1000),15,2 AND l_quantity@0 <= Some(2000),15,2 AND p_size@2 <= 10 OR p_brand@1 = Brand#34 AND p_container@3 IN ([Literal { value: Utf8View("LG CASE"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND l_quantity@0 >= Some(2000),15,2 AND l_quantity@0 <= Some(3000),15,2 AND p_size@2 <= 15, projection=[l_extendedprice@2, l_discount@3]
06)----------HashJoinExec: mode=Partitioned, join_type=Inner, on=[(l_partkey@0, p_partkey@0)], filter=p_brand@1 = Brand#12 AND p_container@3 IN ([SM CASE, SM BOX, SM PACK, SM PKG]) AND l_quantity@0 >= Some(100),15,2 AND l_quantity@0 <= Some(1100),15,2 AND p_size@2 <= 5 OR p_brand@1 = Brand#23 AND p_container@3 IN ([MED BAG, MED BOX, MED PKG, MED PACK]) AND l_quantity@0 >= Some(1000),15,2 AND l_quantity@0 <= Some(2000),15,2 AND p_size@2 <= 10 OR p_brand@1 = Brand#34 AND p_container@3 IN ([LG CASE, LG BOX, LG PACK, LG PKG]) AND l_quantity@0 >= Some(2000),15,2 AND l_quantity@0 <= Some(3000),15,2 AND p_size@2 <= 15, projection=[l_extendedprice@2, l_discount@3]
07)------------CoalesceBatchesExec: target_batch_size=8192
08)--------------RepartitionExec: partitioning=Hash([l_partkey@0], 4), input_partitions=4
09)----------------CoalesceBatchesExec: target_batch_size=8192
Expand All @@ -78,6 +78,6 @@ physical_plan
12)------------CoalesceBatchesExec: target_batch_size=8192
13)--------------RepartitionExec: partitioning=Hash([p_partkey@0], 4), input_partitions=4
14)----------------CoalesceBatchesExec: target_batch_size=8192
15)------------------FilterExec: (p_brand@1 = Brand#12 AND p_container@3 IN ([Literal { value: Utf8View("SM CASE"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("SM PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND p_size@2 <= 5 OR p_brand@1 = Brand#23 AND p_container@3 IN ([Literal { value: Utf8View("MED BAG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("MED PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND p_size@2 <= 10 OR p_brand@1 = Brand#34 AND p_container@3 IN ([Literal { value: Utf8View("LG CASE"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG BOX"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG PACK"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }, Literal { value: Utf8View("LG PKG"), field: Field { name: "lit", data_type: Utf8View, nullable: false, dict_id: 0, dict_is_ordered: false, metadata: {} } }]) AND p_size@2 <= 15) AND p_size@2 >= 1
15)------------------FilterExec: (p_brand@1 = Brand#12 AND p_container@3 IN ([SM CASE, SM BOX, SM PACK, SM PKG]) AND p_size@2 <= 5 OR p_brand@1 = Brand#23 AND p_container@3 IN ([MED BAG, MED BOX, MED PKG, MED PACK]) AND p_size@2 <= 10 OR p_brand@1 = Brand#34 AND p_container@3 IN ([LG CASE, LG BOX, LG PACK, LG PKG]) AND p_size@2 <= 15) AND p_size@2 >= 1
16)--------------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
17)----------------------DataSourceExec: file_groups={1 group: [[WORKSPACE_ROOT/datafusion/sqllogictest/test_files/tpch/data/part.tbl]]}, projection=[p_partkey, p_brand, p_size, p_container], file_type=csv, has_header=false
Loading