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HIVE-29760: Improve SEARCH expansion to exploit NOT_BETWEEN operator #6634

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HIVE-29760: Improve SEARCH expansion to exploit NOT_BETWEEN operator #6634

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HIVE-29760: Improve SEARCH expansion to exploit NOT_BETWEEN operator
rubenada Jul 23, 2026
242ec52
Adjust tests
rubenada Jul 23, 2026
7b5a7ff
Adjust tests
rubenada Aug 6, 2026
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28 changes: 28 additions & 0 deletions ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/SearchTransformer.java
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,9 @@
*/
package org.apache.hadoop.hive.ql.optimizer.calcite;

import com.google.common.collect.BoundType;
import com.google.common.collect.Range;
import com.google.common.collect.RangeSet;
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rex.RexBuilder;
import org.apache.calcite.rex.RexCall;
Expand All @@ -35,8 +38,10 @@

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.Objects;
import java.util.Set;

/**
* A class that transforms a call to the internal {@link SqlStdOperatorTable#SEARCH} operator into an equivalent
Expand Down Expand Up @@ -92,6 +97,16 @@ public RexNode transform() {
range -> rexBuilder.makeCall(SqlStdOperatorTable.NOT_EQUALS, ref,
rexBuilder.makeLiteral(range.lowerEndpoint(), operandType, true, true))).toList();
orList.add(RexUtil.composeConjunction(rexBuilder, list));
} else if (isNotBetween(sarg.rangeSet)) {
Iterator<Range<C>> iterator = sarg.rangeSet.asRanges().iterator();
C lower = iterator.next().upperEndpoint();
C upper = iterator.next().lowerEndpoint();
RexNode notBetween = rexBuilder.makeCall(HiveBetween.INSTANCE,
rexBuilder.makeLiteral(true), // inverse flag enabled, i.e. 'NOT BETWEEN'
ref,
rexBuilder.makeLiteral(lower, operandType, true, true),
rexBuilder.makeLiteral(upper, operandType, true, true));
orList.add(notBetween);
} else {
RangeConverter<C> consumer = new RangeConverter<>(rexBuilder, operandType, ref);
RangeSets.forEach(sarg.rangeSet, consumer);
Expand Down Expand Up @@ -125,6 +140,19 @@ public RexNode transform() {
return x;
}

// Identifies a NOT BETWEEN expression: x < 10 OR x > 20 => x NOT BETWEEN 10, 20
private boolean isNotBetween(RangeSet<C> rangeSet) {
Set<Range<C>> ranges = rangeSet.asRanges();
if (ranges.size() == 2) {
Iterator<Range<C>> iterator = ranges.iterator();
Range<C> first = iterator.next();
Range<C> second = iterator.next();
return !first.hasLowerBound() && first.hasUpperBound() && first.upperBoundType() == BoundType.OPEN
&& !second.hasUpperBound() && second.hasLowerBound() && second.lowerBoundType() == BoundType.OPEN;
}
return false;
}

public static class Shuttle extends RexShuttle {
private final RexBuilder rexBuilder;
private RexUnknownAs unknownContext;
Expand Down
26 changes: 26 additions & 0 deletions ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/TestSearchTransformerShuttle.java
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
import com.google.common.collect.ImmutableRangeSet;
import com.google.common.collect.Range;
import com.google.common.collect.RangeSet;
import com.google.common.collect.TreeRangeSet;

import org.apache.calcite.jdbc.JavaTypeFactoryImpl;
import org.apache.calcite.rel.type.RelDataType;
Expand Down Expand Up @@ -97,6 +98,21 @@

expressions.add(new Object[] { searchFalse, TRUE, "AND(IS NOT NULL($0), BETWEEN(false, $0, 10, 20))" });
expressions.add(new Object[] { searchFalse, UNKNOWN, "AND(IS NOT NULL($0), BETWEEN(false, $0, 10, 20))" });

// NOT BETWEEN tests
final RexNode searchNotBetweenUnknown = createNotBetweenSearchNode(rexBuilder, 10, 20, UNKNOWN);
final RexNode searchNotBetweenFalse = createNotBetweenSearchNode(rexBuilder, 10, 20, FALSE);
final RexNode searchNotBetweenTrue = createNotBetweenSearchNode(rexBuilder, 10, 20, TRUE);
expressions.add(new Object[] { searchNotBetweenFalse, UNKNOWN, "AND(IS NOT NULL($0), BETWEEN(true, $0, 10, 20))" });

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expressions.add(new Object[] { searchNotBetweenFalse, TRUE, "AND(IS NOT NULL($0), BETWEEN(true, $0, 10, 20))" });

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expressions.add(new Object[] { searchNotBetweenFalse, FALSE, "BETWEEN(true, $0, 10, 20)" });

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expressions.add(new Object[] { searchNotBetweenTrue, UNKNOWN, "OR(IS NULL($0), BETWEEN(true, $0, 10, 20))" });

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expressions.add(new Object[] { searchNotBetweenTrue, TRUE, "BETWEEN(true, $0, 10, 20)" });

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expressions.add(new Object[] { searchNotBetweenTrue, FALSE, "OR(IS NULL($0), BETWEEN(true, $0, 10, 20))" });

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expressions.add(new Object[] { searchNotBetweenUnknown, UNKNOWN, "BETWEEN(true, $0, 10, 20)" });

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expressions.add(new Object[] { searchNotBetweenUnknown, TRUE, "BETWEEN(true, $0, 10, 20)" });

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expressions.add(new Object[] { searchNotBetweenUnknown, FALSE, "BETWEEN(true, $0, 10, 20)" });

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return expressions;
}

Expand All @@ -109,5 +125,15 @@
return builder.makeCall(SEARCH, builder.makeInputRef(intType, 0), builder.makeSearchArgumentLiteral(sarg, intType));
}

private static RexNode createNotBetweenSearchNode(RexBuilder builder, int lower, int upper, RexUnknownAs nullAs) {
final RelDataType intType = builder.getTypeFactory()
.createTypeWithNullability(builder.getTypeFactory().createSqlType(SqlTypeName.INTEGER), true);
RangeSet<BigDecimal> rangeSet = TreeRangeSet.create();
rangeSet.add(Range.lessThan(BigDecimal.valueOf(lower)));
rangeSet.add(Range.greaterThan(BigDecimal.valueOf(upper)));
Sarg sarg = Sarg.of(nullAs, rangeSet);
return builder.makeCall(SEARCH, builder.makeInputRef(intType, 0), builder.makeSearchArgumentLiteral(sarg, intType));
}

}

48 changes: 24 additions & 24 deletions ql/src/test/results/clientpositive/llap/correlationoptimizer8.q.out
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Expand Up @@ -82,21 +82,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
filterExpr: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
predicate: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: string)
null sort order: z
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: string)
Execution mode: vectorized, llap
LLAP IO: all inputs
Expand Down Expand Up @@ -126,14 +126,14 @@ STAGE PLANS:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col1, _col2, _col3
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col2 (type: string), _col3 (type: string), _col1 (type: bigint)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
Expand Down Expand Up @@ -282,21 +282,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
filterExpr: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
predicate: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: string)
null sort order: z
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: string)
Execution mode: vectorized, llap
LLAP IO: all inputs
Expand Down Expand Up @@ -326,14 +326,14 @@ STAGE PLANS:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col1, _col2, _col3
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col2 (type: string), _col3 (type: string), _col1 (type: bigint)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
Expand Down Expand Up @@ -922,21 +922,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
filterExpr: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
predicate: (UDFToDouble(key) NOT BETWEEN 20.0D AND 100.0D and key is not null) (type: boolean)
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: string)
null sort order: z
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 23 Data size: 4025 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: string)
Execution mode: vectorized, llap
LLAP IO: all inputs
Expand Down Expand Up @@ -970,14 +970,14 @@ STAGE PLANS:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col1, _col2, _col3
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col2 (type: string), _col3 (type: string), _col1 (type: bigint)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
Statistics: Num rows: 32 Data size: 5856 Basic stats: COMPLETE Column stats: COMPLETE
Statistics: Num rows: 46 Data size: 8418 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
Expand Down
12 changes: 6 additions & 6 deletions ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out
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Expand Up @@ -2280,7 +2280,7 @@ WHERE "ss_customer_sk" IS NOT NULL AND "ss_sold_date_sk" IS NOT NULL) AS "t1"
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ss_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ss_sold_date_sk" = "t4"."d_date_sk"
hive.sql.query.fieldNames ss_customer_sk
hive.sql.query.fieldTypes int
hive.sql.query.split false
Expand Down Expand Up @@ -2316,7 +2316,7 @@ WHERE "ws_bill_customer_sk" IS NOT NULL AND "ws_sold_date_sk" IS NOT NULL) AS "t
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ws_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ws_sold_date_sk" = "t4"."d_date_sk"
hive.sql.query.fieldNames literalTrue,ws_bill_customer_sk
hive.sql.query.fieldTypes boolean,int
hive.sql.query.split false
Expand Down Expand Up @@ -2347,7 +2347,7 @@ WHERE "cs_ship_customer_sk" IS NOT NULL AND "cs_sold_date_sk" IS NOT NULL) AS "t
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."cs_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."cs_sold_date_sk" = "t4"."d_date_sk"
hive.sql.query.fieldNames literalTrue,cs_ship_customer_sk
hive.sql.query.fieldTypes boolean,int
hive.sql.query.split false
Expand Down Expand Up @@ -6918,7 +6918,7 @@ WHERE "ss_customer_sk" IS NOT NULL AND "ss_sold_date_sk" IS NOT NULL) AS "t1"
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ss_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ss_sold_date_sk" = "t4"."d_date_sk"
hive.sql.query.fieldNames ss_customer_sk
hive.sql.query.fieldTypes int
hive.sql.query.split false
Expand Down Expand Up @@ -6954,7 +6954,7 @@ WHERE "ws_bill_customer_sk" IS NOT NULL AND "ws_sold_date_sk" IS NOT NULL) AS "t
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ws_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."ws_sold_date_sk" = "t4"."d_date_sk"
GROUP BY "t1"."ws_bill_customer_sk"
hive.sql.query.fieldNames literalTrue,ws_bill_customer_sk
hive.sql.query.fieldTypes boolean,int
Expand Down Expand Up @@ -6986,7 +6986,7 @@ WHERE "cs_ship_customer_sk" IS NOT NULL AND "cs_sold_date_sk" IS NOT NULL) AS "t
INNER JOIN (SELECT "d_date_sk"
FROM (SELECT "d_date_sk", "d_year", "d_moy"
FROM "DATE_DIM") AS "t2"
WHERE ("d_moy" < 1 OR "d_moy" > 3) AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."cs_sold_date_sk" = "t4"."d_date_sk"
WHERE "d_moy" NOT BETWEEN 1 AND 3 AND "d_year" = 1999 AND "d_date_sk" IS NOT NULL) AS "t4" ON "t1"."cs_sold_date_sk" = "t4"."d_date_sk"
GROUP BY "t1"."cs_ship_customer_sk"
hive.sql.query.fieldNames literalTrue,cs_ship_customer_sk
hive.sql.query.fieldTypes boolean,int
Expand Down
2 changes: 1 addition & 1 deletion ql/src/test/results/clientpositive/llap/filter_numeric.q.out
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Original file line number Diff line number Diff line change
Expand Up @@ -1658,7 +1658,7 @@ STAGE PLANS:
Processor Tree:
TableScan
alias: partint
filterExpr: ((hr < 12) or (hr > 14)) (type: boolean)
filterExpr: hr NOT BETWEEN 12 AND 14 (type: boolean)
Select Operator
expressions: key (type: string), value (type: string), hr (type: int)
outputColumnNames: _col0, _col1, _col2
Expand Down
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