[test](regression) adjust nereids related regression cases under datev2 (#14578)
1. revert 14439, recovery dup&unique test cases 2. adjust nereids related case
This commit is contained in:
@ -206,8 +206,6 @@ public abstract class Literal extends Expression implements LeafExpression, Comp
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return new DateTimeLiteral(desc);
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} else if (targetType.isDecimalType()) {
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return new DecimalLiteral(BigDecimal.valueOf(Double.parseDouble(desc)));
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} else if (targetType.isDateV2()) {
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return new DateV2Literal(desc);
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}
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throw new AnalysisException("no support cast!");
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}
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@ -409,10 +409,6 @@ public abstract class DataType implements AbstractDataType {
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return this instanceof DateType;
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}
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public boolean isDateV2() {
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return this instanceof DateV2Type;
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}
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public boolean isDateType() {
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return isDate() || isDateTime();
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}
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@ -1,23 +0,0 @@
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@ -1,103 +0,0 @@
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||||
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7937.930000000 Supplier#000009012 ROMANIA 83995 Manufacturer#2 iUiTziH,Ek3i4lwSgunXMgrcTzwdb 29-250-925-9690 to the blithely ironic deposits nag sly
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
115831 Customer#000115831 596423.8672 5098.1 FRANCE rFeBbEEyk dl ne7zV5fDrmiq1oK09wV7pxqCgIc 16-715-386-3788 l somas sleep. furiously final deposits wake blithely regular pinto b
|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
|
||||
28657
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q11.out
Normal file
28657
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q11.out
Normal file
File diff suppressed because it is too large
Load Diff
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|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
MAIL 6202 9324
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||||
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|
||||
|
||||
-- !select --
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||||
MAIL 6202 9324
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||||
SHIP 6200 9262
|
||||
|
||||
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||||
-- !select --
|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
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|
||||
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|
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|
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|
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|
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-- !select --
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||||
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||||
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||||
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||||
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|
||||
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|
||||
37 5
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||||
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||||
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||||
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|
||||
|
||||
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|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
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||||
-- !select --
|
||||
16.380778626
|
||||
|
||||
-- !select --
|
||||
16.380778626
|
||||
|
||||
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||||
-- !select --
|
||||
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|
||||
|
||||
-- !select --
|
||||
8449 Supplier#000008449 Wp34zim9qYFbVctdW 20-469-856-8873 1772627.2087
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||||
|
||||
36633
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q16.out
Normal file
36633
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q16.out
Normal file
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,7 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
348406.054285714
|
||||
|
||||
-- !select --
|
||||
348406.054285714
|
||||
|
||||
119
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q18.out
Normal file
119
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q18.out
Normal file
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||||
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|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
3083843.0578
|
||||
|
||||
-- !select --
|
||||
3083843.0578
|
||||
|
||||
205
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q2.out
Normal file
205
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q2.out
Normal file
@ -0,0 +1,205 @@
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-- This file is automatically generated. You should know what you did if you want to edit this
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-- !select --
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377
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377
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
Supplier#000009974 7wJ,J5DKcxSU4Kp1cQLpbcAvB5AsvKT
|
||||
|
||||
205
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q21.out
Normal file
205
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q21.out
Normal file
@ -0,0 +1,205 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
Supplier#000002829 20
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
Supplier#000006629 13
|
||||
Supplier#000006682 13
|
||||
Supplier#000006737 13
|
||||
Supplier#000006825 13
|
||||
Supplier#000007021 13
|
||||
Supplier#000007417 13
|
||||
Supplier#000007497 13
|
||||
Supplier#000007602 13
|
||||
Supplier#000008134 13
|
||||
Supplier#000008234 13
|
||||
Supplier#000009435 13
|
||||
Supplier#000009436 13
|
||||
Supplier#000009564 13
|
||||
Supplier#000009896 13
|
||||
Supplier#000000379 12
|
||||
Supplier#000000673 12
|
||||
Supplier#000000762 12
|
||||
Supplier#000000811 12
|
||||
Supplier#000000821 12
|
||||
Supplier#000001337 12
|
||||
Supplier#000001916 12
|
||||
Supplier#000001925 12
|
||||
Supplier#000002039 12
|
||||
Supplier#000002357 12
|
||||
Supplier#000002483 12
|
||||
|
||||
-- !select --
|
||||
Supplier#000002829 20
|
||||
Supplier#000005808 18
|
||||
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|
||||
Supplier#000000496 17
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
Supplier#000001960 14
|
||||
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|
||||
Supplier#000002490 14
|
||||
Supplier#000002993 14
|
||||
Supplier#000003101 14
|
||||
Supplier#000004489 14
|
||||
Supplier#000005435 14
|
||||
Supplier#000005583 14
|
||||
Supplier#000005774 14
|
||||
Supplier#000007579 14
|
||||
Supplier#000008180 14
|
||||
Supplier#000008695 14
|
||||
Supplier#000009224 14
|
||||
Supplier#000000357 13
|
||||
Supplier#000000436 13
|
||||
Supplier#000000610 13
|
||||
Supplier#000000788 13
|
||||
Supplier#000000889 13
|
||||
Supplier#000001062 13
|
||||
Supplier#000001498 13
|
||||
Supplier#000002056 13
|
||||
Supplier#000002312 13
|
||||
Supplier#000002344 13
|
||||
Supplier#000002596 13
|
||||
Supplier#000002615 13
|
||||
Supplier#000002978 13
|
||||
Supplier#000003048 13
|
||||
Supplier#000003234 13
|
||||
Supplier#000003727 13
|
||||
Supplier#000003806 13
|
||||
Supplier#000004472 13
|
||||
Supplier#000005236 13
|
||||
Supplier#000005906 13
|
||||
Supplier#000006241 13
|
||||
Supplier#000006326 13
|
||||
Supplier#000006384 13
|
||||
Supplier#000006394 13
|
||||
Supplier#000006624 13
|
||||
Supplier#000006629 13
|
||||
Supplier#000006682 13
|
||||
Supplier#000006737 13
|
||||
Supplier#000006825 13
|
||||
Supplier#000007021 13
|
||||
Supplier#000007417 13
|
||||
Supplier#000007497 13
|
||||
Supplier#000007602 13
|
||||
Supplier#000008134 13
|
||||
Supplier#000008234 13
|
||||
Supplier#000009435 13
|
||||
Supplier#000009436 13
|
||||
Supplier#000009564 13
|
||||
Supplier#000009896 13
|
||||
Supplier#000000379 12
|
||||
Supplier#000000673 12
|
||||
Supplier#000000762 12
|
||||
Supplier#000000811 12
|
||||
Supplier#000000821 12
|
||||
Supplier#000001337 12
|
||||
Supplier#000001916 12
|
||||
Supplier#000001925 12
|
||||
Supplier#000002039 12
|
||||
Supplier#000002357 12
|
||||
Supplier#000002483 12
|
||||
|
||||
@ -0,0 +1,19 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
13 888 6737713.99
|
||||
17 861 6460573.72
|
||||
18 964 7236687.4
|
||||
23 892 6701457.95
|
||||
29 948 7158866.63
|
||||
30 909 6808436.13
|
||||
31 922 6806670.18
|
||||
|
||||
-- !select --
|
||||
13 888 6737713.99
|
||||
17 861 6460573.72
|
||||
18 964 7236687.4
|
||||
23 892 6701457.95
|
||||
29 948 7158866.63
|
||||
30 909 6808436.13
|
||||
31 922 6806670.18
|
||||
|
||||
@ -0,0 +1,25 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
2456423 406181.0111 1995-03-05 0
|
||||
3459808 405838.6989 1995-03-04 0
|
||||
492164 390324.061 1995-02-19 0
|
||||
1188320 384537.9359 1995-03-09 0
|
||||
2435712 378673.0558 1995-02-26 0
|
||||
4878020 378376.7952 1995-03-12 0
|
||||
5521732 375153.9215 1995-03-13 0
|
||||
2628192 373133.3094 1995-02-22 0
|
||||
993600 371407.4595 1995-03-05 0
|
||||
2300070 367371.1452 1995-03-13 0
|
||||
|
||||
-- !select --
|
||||
2456423 406181.0111 1995-03-05 0
|
||||
3459808 405838.6989 1995-03-04 0
|
||||
492164 390324.061 1995-02-19 0
|
||||
1188320 384537.9359 1995-03-09 0
|
||||
2435712 378673.0558 1995-02-26 0
|
||||
4878020 378376.7952 1995-03-12 0
|
||||
5521732 375153.9215 1995-03-13 0
|
||||
2628192 373133.3094 1995-02-22 0
|
||||
993600 371407.4595 1995-03-05 0
|
||||
2300070 367371.1452 1995-03-13 0
|
||||
|
||||
@ -0,0 +1,15 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
1-URGENT 10594
|
||||
2-HIGH 10476
|
||||
3-MEDIUM 10410
|
||||
4-NOT SPECIFIED 10556
|
||||
5-LOW 10487
|
||||
|
||||
-- !select --
|
||||
1-URGENT 10594
|
||||
2-HIGH 10476
|
||||
3-MEDIUM 10410
|
||||
4-NOT SPECIFIED 10556
|
||||
5-LOW 10487
|
||||
|
||||
@ -0,0 +1,15 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
INDONESIA 55502041.1697
|
||||
VIETNAM 55295086.9967
|
||||
CHINA 53724494.2566
|
||||
INDIA 52035512.0002
|
||||
JAPAN 45410175.6954
|
||||
|
||||
-- !select --
|
||||
INDONESIA 55502041.1697
|
||||
VIETNAM 55295086.9967
|
||||
CHINA 53724494.2566
|
||||
INDIA 52035512.0002
|
||||
JAPAN 45410175.6954
|
||||
|
||||
@ -0,0 +1,7 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
123141078.2283
|
||||
|
||||
-- !select --
|
||||
123141078.2283
|
||||
|
||||
@ -0,0 +1,13 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
FRANCE GERMANY 1995 54639732.7336
|
||||
FRANCE GERMANY 1996 54633083.3076
|
||||
GERMANY FRANCE 1995 52531746.6697
|
||||
GERMANY FRANCE 1996 52520549.0224
|
||||
|
||||
-- !select --
|
||||
FRANCE GERMANY 1995 54639732.7336
|
||||
FRANCE GERMANY 1996 54633083.3076
|
||||
GERMANY FRANCE 1995 52531746.6697
|
||||
GERMANY FRANCE 1996 52520549.0224
|
||||
|
||||
@ -0,0 +1,9 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
1995 0.03443589
|
||||
1996 0.041485521
|
||||
|
||||
-- !select --
|
||||
1995 0.03443589
|
||||
1996 0.041485521
|
||||
|
||||
355
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q9.out
Normal file
355
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/nereids/q9.out
Normal file
@ -0,0 +1,355 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
ALGERIA 1998 27136900.1803
|
||||
ALGERIA 1997 48611833.4962
|
||||
ALGERIA 1996 48285482.6782
|
||||
ALGERIA 1995 44402273.5999
|
||||
ALGERIA 1994 48694008.0668
|
||||
ALGERIA 1993 46044207.7838
|
||||
ALGERIA 1992 45636849.4881
|
||||
ARGENTINA 1998 28341663.7848
|
||||
ARGENTINA 1997 47143964.1176
|
||||
ARGENTINA 1996 45255278.6021
|
||||
ARGENTINA 1995 45631769.2054
|
||||
ARGENTINA 1994 48268856.3547
|
||||
ARGENTINA 1993 48605593.6162
|
||||
ARGENTINA 1992 46654240.7487
|
||||
BRAZIL 1998 26527736.396
|
||||
BRAZIL 1997 45640660.7677
|
||||
BRAZIL 1996 45090647.163
|
||||
BRAZIL 1995 44015888.5132
|
||||
BRAZIL 1994 44854218.8932
|
||||
BRAZIL 1993 45766603.7379
|
||||
BRAZIL 1992 45280216.8027
|
||||
CANADA 1998 26828985.3944
|
||||
CANADA 1997 44849954.3186
|
||||
CANADA 1996 46307936.1108
|
||||
CANADA 1995 47311993.0441
|
||||
CANADA 1994 46691491.9596
|
||||
CANADA 1993 46634791.1121
|
||||
CANADA 1992 45873849.6882
|
||||
CHINA 1998 27510180.1657
|
||||
CHINA 1997 46123865.4097
|
||||
CHINA 1996 49532807.0601
|
||||
CHINA 1995 46734651.4838
|
||||
CHINA 1994 46397896.6097
|
||||
CHINA 1993 49634673.9463
|
||||
CHINA 1992 46949457.6426
|
||||
EGYPT 1998 28401491.7968
|
||||
EGYPT 1997 47674857.6783
|
||||
EGYPT 1996 47745727.545
|
||||
EGYPT 1995 45897160.6783
|
||||
EGYPT 1994 47194895.228
|
||||
EGYPT 1993 49133627.6471
|
||||
EGYPT 1992 47000574.5027
|
||||
ETHIOPIA 1998 25135046.1377
|
||||
ETHIOPIA 1997 43010596.0838
|
||||
ETHIOPIA 1996 43636287.1922
|
||||
ETHIOPIA 1995 43575757.3343
|
||||
ETHIOPIA 1994 41597208.5283
|
||||
ETHIOPIA 1993 42622804.1616
|
||||
ETHIOPIA 1992 44385735.6813
|
||||
FRANCE 1998 26210392.2804
|
||||
FRANCE 1997 42392969.4731
|
||||
FRANCE 1996 43306317.9749
|
||||
FRANCE 1995 46377408.4328
|
||||
FRANCE 1994 43447352.9922
|
||||
FRANCE 1993 43729961.0639
|
||||
FRANCE 1992 44052308.429
|
||||
GERMANY 1998 25991257.1071
|
||||
GERMANY 1997 43968355.8079
|
||||
GERMANY 1996 45882074.8049
|
||||
GERMANY 1995 43314338.3077
|
||||
GERMANY 1994 44616995.4369
|
||||
GERMANY 1993 45126645.9113
|
||||
GERMANY 1992 44361141.2107
|
||||
INDIA 1998 29626417.2379
|
||||
INDIA 1997 51386111.3448
|
||||
INDIA 1996 47571018.5122
|
||||
INDIA 1995 49344062.2829
|
||||
INDIA 1994 50106952.4261
|
||||
INDIA 1993 48112766.6987
|
||||
INDIA 1992 47914303.1234
|
||||
INDONESIA 1998 27734909.6763
|
||||
INDONESIA 1997 44593812.9863
|
||||
INDONESIA 1996 44746729.8078
|
||||
INDONESIA 1995 45593622.6993
|
||||
INDONESIA 1994 45988483.8772
|
||||
INDONESIA 1993 46147963.7895
|
||||
INDONESIA 1992 45185777.0688
|
||||
IRAN 1998 26661608.9301
|
||||
IRAN 1997 45019114.1696
|
||||
IRAN 1996 45891397.0992
|
||||
IRAN 1995 44414285.2348
|
||||
IRAN 1994 43696360.4795
|
||||
IRAN 1993 45362775.8094
|
||||
IRAN 1992 43052338.4143
|
||||
IRAQ 1998 31188498.1914
|
||||
IRAQ 1997 48585307.5222
|
||||
IRAQ 1996 50036593.8404
|
||||
IRAQ 1995 48774801.7275
|
||||
IRAQ 1994 48795847.231
|
||||
IRAQ 1993 47435691.5082
|
||||
IRAQ 1992 47562355.6571
|
||||
JAPAN 1998 24694102.172
|
||||
JAPAN 1997 42377052.3454
|
||||
JAPAN 1996 40267778.9094
|
||||
JAPAN 1995 40925317.465
|
||||
JAPAN 1994 41159518.3058
|
||||
JAPAN 1993 39589074.2771
|
||||
JAPAN 1992 39113493.9052
|
||||
JORDAN 1998 23489867.7893
|
||||
JORDAN 1997 41615962.6619
|
||||
JORDAN 1996 41860855.4684
|
||||
JORDAN 1995 39931672.0908
|
||||
JORDAN 1994 40707555.4638
|
||||
JORDAN 1993 39060405.4658
|
||||
JORDAN 1992 41657604.2684
|
||||
KENYA 1998 25566337.4303
|
||||
KENYA 1997 43108847.9024
|
||||
KENYA 1996 43482953.543
|
||||
KENYA 1995 42517988.9814
|
||||
KENYA 1994 43612479.4523
|
||||
KENYA 1993 42724038.7571
|
||||
KENYA 1992 43217106.2068
|
||||
MOROCCO 1998 24915496.8756
|
||||
MOROCCO 1997 42698382.855
|
||||
MOROCCO 1996 42986113.5049
|
||||
MOROCCO 1995 42316089.1593
|
||||
MOROCCO 1994 43458604.6029
|
||||
MOROCCO 1993 42672288.0699
|
||||
MOROCCO 1992 42800781.6415
|
||||
MOZAMBIQUE 1998 28279876.0301
|
||||
MOZAMBIQUE 1997 51159216.2298
|
||||
MOZAMBIQUE 1996 48072525.0645
|
||||
MOZAMBIQUE 1995 48905200.6007
|
||||
MOZAMBIQUE 1994 46092076.2805
|
||||
MOZAMBIQUE 1993 48555926.2669
|
||||
MOZAMBIQUE 1992 47809075.1192
|
||||
PERU 1998 26713966.2678
|
||||
PERU 1997 48324008.6011
|
||||
PERU 1996 50310008.8629
|
||||
PERU 1995 49647080.9629
|
||||
PERU 1994 46420910.2773
|
||||
PERU 1993 51536906.2487
|
||||
PERU 1992 47711665.3137
|
||||
ROMANIA 1998 27271993.101
|
||||
ROMANIA 1997 45063059.1953
|
||||
ROMANIA 1996 47492335.0323
|
||||
ROMANIA 1995 45710636.2909
|
||||
ROMANIA 1994 46088041.1066
|
||||
ROMANIA 1993 47515092.5613
|
||||
ROMANIA 1992 44111439.8044
|
||||
RUSSIA 1998 27935323.7271
|
||||
RUSSIA 1997 48222347.2924
|
||||
RUSSIA 1996 47553559.4932
|
||||
RUSSIA 1995 46755990.0976
|
||||
RUSSIA 1994 48000515.6191
|
||||
RUSSIA 1993 48569624.5082
|
||||
RUSSIA 1992 47672831.5329
|
||||
SAUDI ARABIA 1998 27113516.8424
|
||||
SAUDI ARABIA 1997 46690468.9649
|
||||
SAUDI ARABIA 1996 47775782.667
|
||||
SAUDI ARABIA 1995 46657107.8287
|
||||
SAUDI ARABIA 1994 48181672.81
|
||||
SAUDI ARABIA 1993 45692556.4438
|
||||
SAUDI ARABIA 1992 48924913.2717
|
||||
UNITED KINGDOM 1998 26366682.8786
|
||||
UNITED KINGDOM 1997 44518130.1851
|
||||
UNITED KINGDOM 1996 45539729.6166
|
||||
UNITED KINGDOM 1995 46845879.339
|
||||
UNITED KINGDOM 1994 43081609.5737
|
||||
UNITED KINGDOM 1993 44770146.7555
|
||||
UNITED KINGDOM 1992 44123402.5484
|
||||
UNITED STATES 1998 27826593.6825
|
||||
UNITED STATES 1997 46638572.3648
|
||||
UNITED STATES 1996 46688280.5474
|
||||
UNITED STATES 1995 48951591.6156
|
||||
UNITED STATES 1994 45099092.0598
|
||||
UNITED STATES 1993 46181600.5278
|
||||
UNITED STATES 1992 46168214.0901
|
||||
VIETNAM 1998 27281931.0011
|
||||
VIETNAM 1997 48735914.1796
|
||||
VIETNAM 1996 47824595.904
|
||||
VIETNAM 1995 48235135.8016
|
||||
VIETNAM 1994 47729256.3324
|
||||
VIETNAM 1993 45352676.8672
|
||||
VIETNAM 1992 47846355.6485
|
||||
|
||||
-- !select --
|
||||
ALGERIA 1998 27136900.1803
|
||||
ALGERIA 1997 48611833.4962
|
||||
ALGERIA 1996 48285482.6782
|
||||
ALGERIA 1995 44402273.5999
|
||||
ALGERIA 1994 48694008.0668
|
||||
ALGERIA 1993 46044207.7838
|
||||
ALGERIA 1992 45636849.4881
|
||||
ARGENTINA 1998 28341663.7848
|
||||
ARGENTINA 1997 47143964.1176
|
||||
ARGENTINA 1996 45255278.6021
|
||||
ARGENTINA 1995 45631769.2054
|
||||
ARGENTINA 1994 48268856.3547
|
||||
ARGENTINA 1993 48605593.6162
|
||||
ARGENTINA 1992 46654240.7487
|
||||
BRAZIL 1998 26527736.396
|
||||
BRAZIL 1997 45640660.7677
|
||||
BRAZIL 1996 45090647.163
|
||||
BRAZIL 1995 44015888.5132
|
||||
BRAZIL 1994 44854218.8932
|
||||
BRAZIL 1993 45766603.7379
|
||||
BRAZIL 1992 45280216.8027
|
||||
CANADA 1998 26828985.3944
|
||||
CANADA 1997 44849954.3186
|
||||
CANADA 1996 46307936.1108
|
||||
CANADA 1995 47311993.0441
|
||||
CANADA 1994 46691491.9596
|
||||
CANADA 1993 46634791.1121
|
||||
CANADA 1992 45873849.6882
|
||||
CHINA 1998 27510180.1657
|
||||
CHINA 1997 46123865.4097
|
||||
CHINA 1996 49532807.0601
|
||||
CHINA 1995 46734651.4838
|
||||
CHINA 1994 46397896.6097
|
||||
CHINA 1993 49634673.9463
|
||||
CHINA 1992 46949457.6426
|
||||
EGYPT 1998 28401491.7968
|
||||
EGYPT 1997 47674857.6783
|
||||
EGYPT 1996 47745727.545
|
||||
EGYPT 1995 45897160.6783
|
||||
EGYPT 1994 47194895.228
|
||||
EGYPT 1993 49133627.6471
|
||||
EGYPT 1992 47000574.5027
|
||||
ETHIOPIA 1998 25135046.1377
|
||||
ETHIOPIA 1997 43010596.0838
|
||||
ETHIOPIA 1996 43636287.1922
|
||||
ETHIOPIA 1995 43575757.3343
|
||||
ETHIOPIA 1994 41597208.5283
|
||||
ETHIOPIA 1993 42622804.1616
|
||||
ETHIOPIA 1992 44385735.6813
|
||||
FRANCE 1998 26210392.2804
|
||||
FRANCE 1997 42392969.4731
|
||||
FRANCE 1996 43306317.9749
|
||||
FRANCE 1995 46377408.4328
|
||||
FRANCE 1994 43447352.9922
|
||||
FRANCE 1993 43729961.0639
|
||||
FRANCE 1992 44052308.429
|
||||
GERMANY 1998 25991257.1071
|
||||
GERMANY 1997 43968355.8079
|
||||
GERMANY 1996 45882074.8049
|
||||
GERMANY 1995 43314338.3077
|
||||
GERMANY 1994 44616995.4369
|
||||
GERMANY 1993 45126645.9113
|
||||
GERMANY 1992 44361141.2107
|
||||
INDIA 1998 29626417.2379
|
||||
INDIA 1997 51386111.3448
|
||||
INDIA 1996 47571018.5122
|
||||
INDIA 1995 49344062.2829
|
||||
INDIA 1994 50106952.4261
|
||||
INDIA 1993 48112766.6987
|
||||
INDIA 1992 47914303.1234
|
||||
INDONESIA 1998 27734909.6763
|
||||
INDONESIA 1997 44593812.9863
|
||||
INDONESIA 1996 44746729.8078
|
||||
INDONESIA 1995 45593622.6993
|
||||
INDONESIA 1994 45988483.8772
|
||||
INDONESIA 1993 46147963.7895
|
||||
INDONESIA 1992 45185777.0688
|
||||
IRAN 1998 26661608.9301
|
||||
IRAN 1997 45019114.1696
|
||||
IRAN 1996 45891397.0992
|
||||
IRAN 1995 44414285.2348
|
||||
IRAN 1994 43696360.4795
|
||||
IRAN 1993 45362775.8094
|
||||
IRAN 1992 43052338.4143
|
||||
IRAQ 1998 31188498.1914
|
||||
IRAQ 1997 48585307.5222
|
||||
IRAQ 1996 50036593.8404
|
||||
IRAQ 1995 48774801.7275
|
||||
IRAQ 1994 48795847.231
|
||||
IRAQ 1993 47435691.5082
|
||||
IRAQ 1992 47562355.6571
|
||||
JAPAN 1998 24694102.172
|
||||
JAPAN 1997 42377052.3454
|
||||
JAPAN 1996 40267778.9094
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
MOROCCO 1998 24915496.8756
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||||
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||||
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||||
MOROCCO 1994 43458604.6029
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||||
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||||
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||||
MOZAMBIQUE 1998 28279876.0301
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||||
MOZAMBIQUE 1997 51159216.2298
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||||
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||||
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||||
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||||
MOZAMBIQUE 1993 48555926.2669
|
||||
MOZAMBIQUE 1992 47809075.1192
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||||
PERU 1998 26713966.2678
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||||
PERU 1997 48324008.6011
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||||
PERU 1996 50310008.8629
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||||
PERU 1995 49647080.9629
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||||
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||||
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||||
ROMANIA 1998 27271993.101
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||||
ROMANIA 1997 45063059.1953
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||||
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||||
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||||
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||||
ROMANIA 1992 44111439.8044
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||||
RUSSIA 1998 27935323.7271
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||||
RUSSIA 1997 48222347.2924
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||||
RUSSIA 1996 47553559.4932
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||||
RUSSIA 1995 46755990.0976
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||||
RUSSIA 1994 48000515.6191
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||||
RUSSIA 1993 48569624.5082
|
||||
RUSSIA 1992 47672831.5329
|
||||
SAUDI ARABIA 1998 27113516.8424
|
||||
SAUDI ARABIA 1997 46690468.9649
|
||||
SAUDI ARABIA 1996 47775782.667
|
||||
SAUDI ARABIA 1995 46657107.8287
|
||||
SAUDI ARABIA 1994 48181672.81
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||||
SAUDI ARABIA 1993 45692556.4438
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||||
SAUDI ARABIA 1992 48924913.2717
|
||||
UNITED KINGDOM 1998 26366682.8786
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||||
UNITED KINGDOM 1997 44518130.1851
|
||||
UNITED KINGDOM 1996 45539729.6166
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||||
UNITED KINGDOM 1995 46845879.339
|
||||
UNITED KINGDOM 1994 43081609.5737
|
||||
UNITED KINGDOM 1993 44770146.7555
|
||||
UNITED KINGDOM 1992 44123402.5484
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||||
UNITED STATES 1998 27826593.6825
|
||||
UNITED STATES 1997 46638572.3648
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||||
UNITED STATES 1996 46688280.5474
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||||
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||||
UNITED STATES 1994 45099092.0598
|
||||
UNITED STATES 1993 46181600.5278
|
||||
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|
||||
VIETNAM 1998 27281931.0011
|
||||
VIETNAM 1997 48735914.1796
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||||
VIETNAM 1996 47824595.904
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||||
VIETNAM 1995 48235135.8016
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||||
VIETNAM 1994 47729256.3324
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||||
VIETNAM 1993 45352676.8672
|
||||
VIETNAM 1992 47846355.6485
|
||||
|
||||
@ -1,6 +1,7 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q01 --
|
||||
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R F 37719753.000000000 56568041380.900000000 53741292684.604000000 55889619119.831932000 25.505793613 38250.854626100 0.050009406 1478870
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||||
103
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q02.out
Normal file
103
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Normal file
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||||
-- This file is automatically generated. You should know what you did if you want to edit this
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||||
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|
||||
7992.40 Supplier#000006108 FRANCE 118574 Manufacturer#1 8tBydnTDwUqfBfFV4l3 16-974-998-8937 ironic ideas? fluffily even instructions wake. blithel
|
||||
7980.65 Supplier#000001288 FRANCE 13784 Manufacturer#4 zE,7HgVPrCn 16-646-464-8247 ully bold courts. escapades nag slyly. furiously fluffy theodo
|
||||
7950.37 Supplier#000008101 GERMANY 33094 Manufacturer#5 kkYvL6IuvojJgTNG IKkaXQDYgx8ILohj 17-627-663-8014 arefully unusual requests x-ray above the quickly final deposits.
|
||||
7937.93 Supplier#000009012 ROMANIA 83995 Manufacturer#2 iUiTziH,Ek3i4lwSgunXMgrcTzwdb 29-250-925-9690 to the blithely ironic deposits nag sly
|
||||
7914.45 Supplier#000001013 RUSSIA 125988 Manufacturer#2 riRcntps4KEDtYScjpMIWeYF6mNnR 32-194-698-3365 busily bold packages are dolphi
|
||||
7912.91 Supplier#000004211 GERMANY 159180 Manufacturer#5 2wQRVovHrm3,v03IKzfTd,1PYsFXQFFOG 17-266-947-7315 ay furiously regular platelets. cou
|
||||
7912.91 Supplier#000004211 GERMANY 184210 Manufacturer#4 2wQRVovHrm3,v03IKzfTd,1PYsFXQFFOG 17-266-947-7315 ay furiously regular platelets. cou
|
||||
7894.56 Supplier#000007981 GERMANY 85472 Manufacturer#4 NSJ96vMROAbeXP 17-963-404-3760 ic platelets affix after the furiously
|
||||
7887.08 Supplier#000009792 GERMANY 164759 Manufacturer#3 Y28ITVeYriT3kIGdV2K8fSZ V2UqT5H1Otz 17-988-938-4296 ckly around the carefully fluffy theodolites. slyly ironic pack
|
||||
7871.50 Supplier#000007206 RUSSIA 104695 Manufacturer#1 3w fNCnrVmvJjE95sgWZzvW 32-432-452-7731 ironic requests. furiously final theodolites cajole. final, express packages sleep. quickly reg
|
||||
7852.45 Supplier#000005864 RUSSIA 8363 Manufacturer#4 WCNfBPZeSXh3h,c 32-454-883-3821 usly unusual pinto beans. brave ideas sleep carefully quickly ironi
|
||||
7850.66 Supplier#000001518 UNITED KINGDOM 86501 Manufacturer#1 ONda3YJiHKJOC 33-730-383-3892 ifts haggle fluffily pending pai
|
||||
7843.52 Supplier#000006683 FRANCE 11680 Manufacturer#4 2Z0JGkiv01Y00oCFwUGfviIbhzCdy 16-464-517-8943 express, final pinto beans x-ray slyly asymptotes. unusual, unusual
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q03 --
|
||||
2456423 406181.011100000 1995-03-05 0
|
||||
3459808 405838.698900000 1995-03-04 0
|
||||
492164 390324.061000000 1995-02-19 0
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q04 --
|
||||
1-URGENT 10594
|
||||
2-HIGH 10476
|
||||
3-MEDIUM 10410
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q05 --
|
||||
INDONESIA 55502041.169700000
|
||||
VIETNAM 55295086.996700000
|
||||
CHINA 53724494.256600000
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q06 --
|
||||
123141078.228300000
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q07 --
|
||||
FRANCE GERMANY 1995 54639732.733600000
|
||||
FRANCE GERMANY 1996 54633083.307600000
|
||||
GERMANY FRANCE 1995 52531746.669700000
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q08 --
|
||||
1995 0.034435890
|
||||
1996 0.041485521
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q09 --
|
||||
ALGERIA 1998 27136900.180300000
|
||||
ALGERIA 1997 48611833.496200000
|
||||
ALGERIA 1996 48285482.678200000
|
||||
23
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q10.out
Normal file
23
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q10.out
Normal file
@ -0,0 +1,23 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q10 --
|
||||
57040 Customer#000057040 734235.245500000 632.87 JAPAN Eioyzjf4pp 22-895-641-3466 sits. slyly regular requests sleep alongside of the regular inst
|
||||
143347 Customer#000143347 721002.694800000 2557.47 EGYPT 1aReFYv,Kw4 14-742-935-3718 ggle carefully enticing requests. final deposits use bold, bold pinto beans. ironic, idle re
|
||||
60838 Customer#000060838 679127.307700000 2454.77 BRAZIL 64EaJ5vMAHWJlBOxJklpNc2RJiWE 12-913-494-9813 need to boost against the slyly regular account
|
||||
101998 Customer#000101998 637029.566700000 3790.89 UNITED KINGDOM 01c9CILnNtfOQYmZj 33-593-865-6378 ress foxes wake slyly after the bold excuses. ironic platelets are furiously carefully bold theodolites
|
||||
125341 Customer#000125341 633508.086000000 4983.51 GERMANY S29ODD6bceU8QSuuEJznkNaK 17-582-695-5962 arefully even depths. blithely even excuses sleep furiously. foxes use except the dependencies. ca
|
||||
25501 Customer#000025501 620269.784900000 7725.04 ETHIOPIA W556MXuoiaYCCZamJI,Rn0B4ACUGdkQ8DZ 15-874-808-6793 he pending instructions wake carefully at the pinto beans. regular, final instructions along the slyly fina
|
||||
115831 Customer#000115831 596423.867200000 5098.10 FRANCE rFeBbEEyk dl ne7zV5fDrmiq1oK09wV7pxqCgIc 16-715-386-3788 l somas sleep. furiously final deposits wake blithely regular pinto b
|
||||
84223 Customer#000084223 594998.023900000 528.65 UNITED KINGDOM nAVZCs6BaWap rrM27N 2qBnzc5WBauxbA 33-442-824-8191 slyly final deposits haggle regular, pending dependencies. pending escapades wake
|
||||
54289 Customer#000054289 585603.391800000 5583.02 IRAN vXCxoCsU0Bad5JQI ,oobkZ 20-834-292-4707 ely special foxes are quickly finally ironic p
|
||||
39922 Customer#000039922 584878.113400000 7321.11 GERMANY Zgy4s50l2GKN4pLDPBU8m342gIw6R 17-147-757-8036 y final requests. furiously final foxes cajole blithely special platelets. f
|
||||
6226 Customer#000006226 576783.760600000 2230.09 UNITED KINGDOM 8gPu8,NPGkfyQQ0hcIYUGPIBWc,ybP5g, 33-657-701-3391 ending platelets along the express deposits cajole carefully final
|
||||
922 Customer#000000922 576767.533300000 3869.25 GERMANY Az9RFaut7NkPnc5zSD2PwHgVwr4jRzq 17-945-916-9648 luffily fluffy deposits. packages c
|
||||
147946 Customer#000147946 576455.132000000 2030.13 ALGERIA iANyZHjqhyy7Ajah0pTrYyhJ 10-886-956-3143 ithely ironic deposits haggle blithely ironic requests. quickly regu
|
||||
115640 Customer#000115640 569341.193300000 6436.10 ARGENTINA Vtgfia9qI 7EpHgecU1X 11-411-543-4901 ost slyly along the patterns; pinto be
|
||||
73606 Customer#000073606 568656.857800000 1785.67 JAPAN xuR0Tro5yChDfOCrjkd2ol 22-437-653-6966 he furiously regular ideas. slowly
|
||||
110246 Customer#000110246 566842.981500000 7763.35 VIETNAM 7KzflgX MDOq7sOkI 31-943-426-9837 egular deposits serve blithely above the fl
|
||||
142549 Customer#000142549 563537.236800000 5085.99 INDONESIA ChqEoK43OysjdHbtKCp6dKqjNyvvi9 19-955-562-2398 sleep pending courts. ironic deposits against the carefully unusual platelets cajole carefully express accounts.
|
||||
146149 Customer#000146149 557254.986500000 1791.55 ROMANIA s87fvzFQpU 29-744-164-6487 of the slyly silent accounts. quickly final accounts across the
|
||||
52528 Customer#000052528 556397.350900000 551.79 ARGENTINA NFztyTOR10UOJ 11-208-192-3205 deposits hinder. blithely pending asymptotes breach slyly regular re
|
||||
23431 Customer#000023431 554269.536000000 3381.86 ROMANIA HgiV0phqhaIa9aydNoIlb 29-915-458-2654 nusual, even instructions: furiously stealthy n
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q11 --
|
||||
129760 17538456.860000000
|
||||
166726 16503353.920000000
|
||||
191287 16474801.970000000
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q12 --
|
||||
MAIL 6202 9324
|
||||
SHIP 6200 9262
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q13 --
|
||||
0 50005
|
||||
9 6641
|
||||
10 6532
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q14 --
|
||||
16.380778626
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q15 --
|
||||
8449 Supplier#000008449 Wp34zim9qYFbVctdW 20-469-856-8873 1772627.208700000
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q16 --
|
||||
Brand#41 MEDIUM BRUSHED TIN 3 28
|
||||
Brand#54 STANDARD BRUSHED COPPER 14 27
|
||||
Brand#11 STANDARD BRUSHED TIN 23 24
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q17 --
|
||||
348406.054285714
|
||||
|
||||
60
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q18.out
Normal file
60
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q18.out
Normal file
@ -0,0 +1,60 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q18 --
|
||||
Customer#000128120 128120 4722021 1994-04-07 544089.09 323.000000000
|
||||
Customer#000144617 144617 3043270 1997-02-12 530604.44 317.000000000
|
||||
Customer#000013940 13940 2232932 1997-04-13 522720.61 304.000000000
|
||||
Customer#000066790 66790 2199712 1996-09-30 515531.82 327.000000000
|
||||
Customer#000046435 46435 4745607 1997-07-03 508047.99 309.000000000
|
||||
Customer#000015272 15272 3883783 1993-07-28 500241.33 302.000000000
|
||||
Customer#000146608 146608 3342468 1994-06-12 499794.58 303.000000000
|
||||
Customer#000096103 96103 5984582 1992-03-16 494398.79 312.000000000
|
||||
Customer#000024341 24341 1474818 1992-11-15 491348.26 302.000000000
|
||||
Customer#000137446 137446 5489475 1997-05-23 487763.25 311.000000000
|
||||
Customer#000107590 107590 4267751 1994-11-04 485141.38 301.000000000
|
||||
Customer#000050008 50008 2366755 1996-12-09 483891.26 302.000000000
|
||||
Customer#000015619 15619 3767271 1996-08-07 480083.96 318.000000000
|
||||
Customer#000077260 77260 1436544 1992-09-12 479499.43 307.000000000
|
||||
Customer#000109379 109379 5746311 1996-10-10 478064.11 302.000000000
|
||||
Customer#000054602 54602 5832321 1997-02-09 471220.08 307.000000000
|
||||
Customer#000105995 105995 2096705 1994-07-03 469692.58 307.000000000
|
||||
Customer#000148885 148885 2942469 1992-05-31 469630.44 313.000000000
|
||||
Customer#000114586 114586 551136 1993-05-19 469605.59 308.000000000
|
||||
Customer#000105260 105260 5296167 1996-09-06 469360.57 303.000000000
|
||||
Customer#000147197 147197 1263015 1997-02-02 467149.67 320.000000000
|
||||
Customer#000064483 64483 2745894 1996-07-04 466991.35 304.000000000
|
||||
Customer#000136573 136573 2761378 1996-05-31 461282.73 301.000000000
|
||||
Customer#000016384 16384 502886 1994-04-12 458378.92 312.000000000
|
||||
Customer#000117919 117919 2869152 1996-06-20 456815.92 317.000000000
|
||||
Customer#000012251 12251 735366 1993-11-24 455107.26 309.000000000
|
||||
Customer#000120098 120098 1971680 1995-06-14 453451.23 308.000000000
|
||||
Customer#000066098 66098 5007490 1992-08-07 453436.16 304.000000000
|
||||
Customer#000117076 117076 4290656 1997-02-05 449545.85 301.000000000
|
||||
Customer#000129379 129379 4720454 1997-06-07 448665.79 303.000000000
|
||||
Customer#000126865 126865 4702759 1994-11-07 447606.65 320.000000000
|
||||
Customer#000088876 88876 983201 1993-12-30 446717.46 304.000000000
|
||||
Customer#000036619 36619 4806726 1995-01-17 446704.09 328.000000000
|
||||
Customer#000141823 141823 2806245 1996-12-29 446269.12 310.000000000
|
||||
Customer#000053029 53029 2662214 1993-08-13 446144.49 302.000000000
|
||||
Customer#000018188 18188 3037414 1995-01-25 443807.22 308.000000000
|
||||
Customer#000066533 66533 29158 1995-10-21 443576.50 305.000000000
|
||||
Customer#000037729 37729 4134341 1995-06-29 441082.97 309.000000000
|
||||
Customer#000003566 3566 2329187 1998-01-04 439803.36 304.000000000
|
||||
Customer#000045538 45538 4527553 1994-05-22 436275.31 305.000000000
|
||||
Customer#000081581 81581 4739650 1995-11-04 435405.90 305.000000000
|
||||
Customer#000119989 119989 1544643 1997-09-20 434568.25 320.000000000
|
||||
Customer#000003680 3680 3861123 1998-07-03 433525.97 301.000000000
|
||||
Customer#000113131 113131 967334 1995-12-15 432957.75 301.000000000
|
||||
Customer#000141098 141098 565574 1995-09-24 430986.69 301.000000000
|
||||
Customer#000093392 93392 5200102 1997-01-22 425487.51 304.000000000
|
||||
Customer#000015631 15631 1845057 1994-05-12 419879.59 302.000000000
|
||||
Customer#000112987 112987 4439686 1996-09-17 418161.49 305.000000000
|
||||
Customer#000012599 12599 4259524 1998-02-12 415200.61 304.000000000
|
||||
Customer#000105410 105410 4478371 1996-03-05 412754.51 302.000000000
|
||||
Customer#000149842 149842 5156581 1994-05-30 411329.35 302.000000000
|
||||
Customer#000010129 10129 5849444 1994-03-21 409129.85 309.000000000
|
||||
Customer#000069904 69904 1742403 1996-10-19 408513.00 305.000000000
|
||||
Customer#000017746 17746 6882 1997-04-09 408446.93 303.000000000
|
||||
Customer#000013072 13072 1481925 1998-03-15 399195.47 301.000000000
|
||||
Customer#000082441 82441 857959 1994-02-07 382579.74 305.000000000
|
||||
Customer#000088703 88703 2995076 1994-01-30 363812.12 302.000000000
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q19 --
|
||||
3083843.057800000
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q20 --
|
||||
Supplier#000000020 iybAE,RmTymrZVYaFZva2SH,j
|
||||
Supplier#000000091 YV45D7TkfdQanOOZ7q9QxkyGUapU1oOWU6q3
|
||||
Supplier#000000205 rF uV8d0JNEk
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q21 --
|
||||
Supplier#000002829 20
|
||||
Supplier#000005808 18
|
||||
Supplier#000000262 17
|
||||
@ -1,5 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !select --
|
||||
-- !q22 --
|
||||
13 888 6737713.990000000
|
||||
17 861 6460573.720000000
|
||||
18 964 7236687.400000000
|
||||
@ -0,0 +1 @@
|
||||
DELETE FROM customer where C_CUSTKEY >= 0;
|
||||
@ -16,10 +16,9 @@ CREATE TABLE IF NOT EXISTS lineitem (
|
||||
L_SHIPMODE CHAR(10) NOT NULL,
|
||||
L_COMMENT VARCHAR(44) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(L_ORDERKEY)
|
||||
UNIQUE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
|
||||
DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 1
|
||||
PROPERTIES (
|
||||
"replication_num" = "1",
|
||||
"colocate_with" = "lineitem_orders"
|
||||
);
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE from lineitem where L_ORDERKEY >= 0;
|
||||
@ -0,0 +1 @@
|
||||
DELETE from nation where N_NATIONKEY >= 0;
|
||||
@ -0,0 +1 @@
|
||||
delete from orders where O_ORDERKEY >= 0;
|
||||
@ -9,10 +9,9 @@ CREATE TABLE IF NOT EXISTS part (
|
||||
P_RETAILPRICE DECIMAL(15,2) NOT NULL,
|
||||
P_COMMENT VARCHAR(23) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(P_PARTKEY)
|
||||
UNIQUE KEY(P_PARTKEY)
|
||||
DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 1
|
||||
PROPERTIES (
|
||||
"replication_num" = "1",
|
||||
"colocate_with" = "part_partsupp"
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from part where P_PARTKEY>=0;
|
||||
@ -5,10 +5,9 @@ CREATE TABLE IF NOT EXISTS partsupp (
|
||||
PS_SUPPLYCOST DECIMAL(15,2) NOT NULL,
|
||||
PS_COMMENT VARCHAR(199) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(PS_PARTKEY)
|
||||
UNIQUE KEY(PS_PARTKEY, PS_SUPPKEY)
|
||||
DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 1
|
||||
PROPERTIES (
|
||||
"replication_num" = "1",
|
||||
"colocate_with" = "part_partsupp"
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from partsupp where PS_PARTKEY>=0;
|
||||
@ -0,0 +1 @@
|
||||
delete from region where R_REGIONKEY>=0;
|
||||
@ -0,0 +1 @@
|
||||
drop view IF EXISTS revenue1;
|
||||
@ -0,0 +1 @@
|
||||
delete from supplier where S_SUPPKEY>=0;
|
||||
@ -24,8 +24,8 @@ suite("load") {
|
||||
def tables = ["customer", "lineitem", "nation", "orders", "part", "partsupp", "region", "supplier"]
|
||||
|
||||
for (String table in tables) {
|
||||
sql "drop table if exists ${table}"
|
||||
sql new File("""${context.file.parent}/ddl/${table}.sql""").text
|
||||
sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
|
||||
}
|
||||
|
||||
for (String tableName in tables) {
|
||||
@ -100,6 +100,6 @@ suite("load") {
|
||||
}
|
||||
|
||||
def table = "revenue1"
|
||||
sql "drop view if exists ${table}"
|
||||
sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
|
||||
sql new File("""${context.file.parent}/ddl/${table}.sql""").text
|
||||
}
|
||||
|
||||
@ -0,0 +1,10 @@
|
||||
CREATE TABLE IF NOT EXISTS gavin_test (
|
||||
id bigint,
|
||||
name char(16),
|
||||
score bigint
|
||||
)
|
||||
DUPLICATE KEY(id, name)
|
||||
DISTRIBUTED BY HASH(id) BUCKETS 1
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
@ -0,0 +1,16 @@
|
||||
CREATE TABLE IF NOT EXISTS customer (
|
||||
C_CUSTKEY INTEGER NOT NULL,
|
||||
C_NAME VARCHAR(25) NOT NULL,
|
||||
C_ADDRESS VARCHAR(40) NOT NULL,
|
||||
C_NATIONKEY INTEGER NOT NULL,
|
||||
C_PHONE CHAR(15) NOT NULL,
|
||||
C_ACCTBAL DECIMAL(15,2) NOT NULL,
|
||||
C_MKTSEGMENT CHAR(10) NOT NULL,
|
||||
C_COMMENT VARCHAR(117) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(C_CUSTKEY, C_NAME)
|
||||
DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE FROM customer where C_CUSTKEY >= 0;
|
||||
@ -0,0 +1,24 @@
|
||||
CREATE TABLE IF NOT EXISTS lineitem (
|
||||
L_ORDERKEY INTEGER NOT NULL,
|
||||
L_PARTKEY INTEGER NOT NULL,
|
||||
L_SUPPKEY INTEGER NOT NULL,
|
||||
L_LINENUMBER INTEGER NOT NULL,
|
||||
L_QUANTITY DECIMAL(15,2) NOT NULL,
|
||||
L_EXTENDEDPRICE DECIMAL(15,2) NOT NULL,
|
||||
L_DISCOUNT DECIMAL(15,2) NOT NULL,
|
||||
L_TAX DECIMAL(15,2) NOT NULL,
|
||||
L_RETURNFLAG CHAR(1) NOT NULL,
|
||||
L_LINESTATUS CHAR(1) NOT NULL,
|
||||
L_SHIPDATE DATE NOT NULL,
|
||||
L_COMMITDATE DATE NOT NULL,
|
||||
L_RECEIPTDATE DATE NOT NULL,
|
||||
L_SHIPINSTRUCT CHAR(25) NOT NULL,
|
||||
L_SHIPMODE CHAR(10) NOT NULL,
|
||||
L_COMMENT VARCHAR(44) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
|
||||
DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE from lineitem where L_ORDERKEY >= 0;
|
||||
@ -0,0 +1,12 @@
|
||||
CREATE TABLE IF NOT EXISTS nation (
|
||||
N_NATIONKEY INTEGER NOT NULL,
|
||||
N_NAME CHAR(25) NOT NULL,
|
||||
N_REGIONKEY INTEGER NOT NULL,
|
||||
N_COMMENT VARCHAR(152)
|
||||
)
|
||||
DUPLICATE KEY(N_NATIONKEY, N_NAME)
|
||||
DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE from nation where N_NATIONKEY >= 0;
|
||||
@ -0,0 +1,17 @@
|
||||
CREATE TABLE IF NOT EXISTS orders (
|
||||
O_ORDERKEY INTEGER NOT NULL,
|
||||
O_CUSTKEY INTEGER NOT NULL,
|
||||
O_ORDERSTATUS CHAR(1) NOT NULL,
|
||||
O_TOTALPRICE DECIMAL(15,2) NOT NULL,
|
||||
O_ORDERDATE DATE NOT NULL,
|
||||
O_ORDERPRIORITY CHAR(15) NOT NULL,
|
||||
O_CLERK CHAR(15) NOT NULL,
|
||||
O_SHIPPRIORITY INTEGER NOT NULL,
|
||||
O_COMMENT VARCHAR(79) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(O_ORDERKEY, O_CUSTKEY)
|
||||
DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from orders where O_ORDERKEY >= 0;
|
||||
@ -0,0 +1,17 @@
|
||||
CREATE TABLE IF NOT EXISTS part (
|
||||
P_PARTKEY INTEGER NOT NULL,
|
||||
P_NAME VARCHAR(55) NOT NULL,
|
||||
P_MFGR CHAR(25) NOT NULL,
|
||||
P_BRAND CHAR(10) NOT NULL,
|
||||
P_TYPE VARCHAR(25) NOT NULL,
|
||||
P_SIZE INTEGER NOT NULL,
|
||||
P_CONTAINER CHAR(10) NOT NULL,
|
||||
P_RETAILPRICE DECIMAL(15,2) NOT NULL,
|
||||
P_COMMENT VARCHAR(23) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(P_PARTKEY, P_NAME)
|
||||
DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from part where P_PARTKEY>=0;
|
||||
@ -0,0 +1,13 @@
|
||||
CREATE TABLE IF NOT EXISTS partsupp (
|
||||
PS_PARTKEY INTEGER NOT NULL,
|
||||
PS_SUPPKEY INTEGER NOT NULL,
|
||||
PS_AVAILQTY INTEGER NOT NULL,
|
||||
PS_SUPPLYCOST DECIMAL(15,2) NOT NULL,
|
||||
PS_COMMENT VARCHAR(199) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(PS_PARTKEY, PS_SUPPKEY)
|
||||
DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from partsupp where PS_PARTKEY>=0;
|
||||
@ -0,0 +1,11 @@
|
||||
CREATE TABLE IF NOT EXISTS region (
|
||||
R_REGIONKEY INTEGER NOT NULL,
|
||||
R_NAME CHAR(25) NOT NULL,
|
||||
R_COMMENT VARCHAR(152)
|
||||
)
|
||||
DUPLICATE KEY(R_REGIONKEY, R_NAME)
|
||||
DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from region where R_REGIONKEY>=0;
|
||||
@ -0,0 +1,11 @@
|
||||
CREATE VIEW IF NOT EXISTS revenue1 AS
|
||||
SELECT
|
||||
l_suppkey AS supplier_no,
|
||||
sum(l_extendedprice * (1 - l_discount)) AS total_revenue
|
||||
FROM
|
||||
lineitem
|
||||
WHERE
|
||||
l_shipdate >= DATE '1996-01-01'
|
||||
AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH
|
||||
GROUP BY
|
||||
l_suppkey;
|
||||
@ -0,0 +1 @@
|
||||
drop view IF EXISTS revenue1;
|
||||
@ -0,0 +1,14 @@
|
||||
CREATE TABLE IF NOT EXISTS supplier (
|
||||
S_SUPPKEY INTEGER NOT NULL,
|
||||
S_NAME CHAR(25) NOT NULL,
|
||||
S_ADDRESS VARCHAR(40) NOT NULL,
|
||||
S_NATIONKEY INTEGER NOT NULL,
|
||||
S_PHONE CHAR(15) NOT NULL,
|
||||
S_ACCTBAL DECIMAL(15,2) NOT NULL,
|
||||
S_COMMENT VARCHAR(101) NOT NULL
|
||||
)
|
||||
DUPLICATE KEY(S_SUPPKEY, S_NAME)
|
||||
DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 3
|
||||
PROPERTIES (
|
||||
"replication_num" = "1"
|
||||
)
|
||||
@ -0,0 +1 @@
|
||||
delete from supplier where S_SUPPKEY>=0;
|
||||
117
regression-test/suites/datev2/tpch_sf1_p1/tpch_sf1/load.groovy
Normal file
117
regression-test/suites/datev2/tpch_sf1_p1/tpch_sf1/load.groovy
Normal file
@ -0,0 +1,117 @@
|
||||
// Licensed to the Apache Software Foundation (ASF) under one
|
||||
// or more contributor license agreements. See the NOTICE file
|
||||
// distributed with this work for additional information
|
||||
// regarding copyright ownership. The ASF licenses this file
|
||||
// to you under the Apache License, Version 2.0 (the
|
||||
// "License"); you may not use this file except in compliance
|
||||
// with the License. You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing,
|
||||
// software distributed under the License is distributed on an
|
||||
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||||
// KIND, either express or implied. See the License for the
|
||||
// specific language governing permissions and limitations
|
||||
// under the License.
|
||||
|
||||
// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
|
||||
// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
|
||||
// and modified by Doris.
|
||||
|
||||
// syntax error:
|
||||
// q06 q13 q15
|
||||
// Test 23 suites, failed 3 suites
|
||||
|
||||
// Note: To filter out tables from sql files, use the following one-liner comamnd
|
||||
// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
|
||||
suite("load") {
|
||||
def tables = ["customer", "lineitem", "nation", "orders", "part", "partsupp", "region", "supplier"]
|
||||
|
||||
// for (String table in tables) {
|
||||
// sql """ DROP TABLE IF EXISTS $table """
|
||||
// }
|
||||
|
||||
for (String table in tables) {
|
||||
sql new File("""${context.file.parent}/ddl/${table}.sql""").text
|
||||
sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
|
||||
}
|
||||
|
||||
for (String tableName in tables) {
|
||||
streamLoad {
|
||||
// a default db 'regression_test' is specified in
|
||||
// ${DORIS_HOME}/conf/regression-conf.groovy
|
||||
table tableName
|
||||
|
||||
// default label is UUID:
|
||||
// set 'label' UUID.randomUUID().toString()
|
||||
|
||||
// default column_separator is specify in doris fe config, usually is '\t'.
|
||||
// this line change to ','
|
||||
set 'column_separator', '|'
|
||||
set 'compress_type', 'GZ'
|
||||
|
||||
// relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
|
||||
// also, you can stream load a http stream, e.g. http://xxx/some.csv
|
||||
file """${context.sf1DataPath}/tpch/sf1/${tableName}.csv.split00.gz"""
|
||||
|
||||
time 10000 // limit inflight 10s
|
||||
|
||||
// stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
|
||||
|
||||
// if declared a check callback, the default check condition will ignore.
|
||||
// So you must check all condition
|
||||
check { result, exception, startTime, endTime ->
|
||||
if (exception != null) {
|
||||
throw exception
|
||||
}
|
||||
log.info("Stream load result: ${result}".toString())
|
||||
def json = parseJson(result)
|
||||
assertEquals("success", json.Status.toLowerCase())
|
||||
assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
|
||||
assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
|
||||
}
|
||||
}
|
||||
streamLoad {
|
||||
// a default db 'regression_test' is specified in
|
||||
// ${DORIS_HOME}/conf/regression-conf.groovy
|
||||
table tableName
|
||||
|
||||
// default label is UUID:
|
||||
// set 'label' UUID.randomUUID().toString()
|
||||
|
||||
// default column_separator is specify in doris fe config, usually is '\t'.
|
||||
// this line change to ','
|
||||
set 'column_separator', '|'
|
||||
set 'compress_type', 'GZ'
|
||||
|
||||
// relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
|
||||
// also, you can stream load a http stream, e.g. http://xxx/some.csv
|
||||
file """${context.sf1DataPath}/tpch/sf1/${tableName}.csv.split01.gz"""
|
||||
|
||||
time 10000 // limit inflight 10s
|
||||
|
||||
// stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
|
||||
|
||||
// if declared a check callback, the default check condition will ignore.
|
||||
// So you must check all condition
|
||||
check { result, exception, startTime, endTime ->
|
||||
if (exception != null) {
|
||||
throw exception
|
||||
}
|
||||
log.info("Stream load result: ${result}".toString())
|
||||
def json = parseJson(result)
|
||||
assertEquals("success", json.Status.toLowerCase())
|
||||
assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
|
||||
assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
def table = "revenue1"
|
||||
sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
|
||||
sql new File("""${context.file.parent}/ddl/${table}.sql""").text
|
||||
// We need wait to make sure BE could pass the stats info to FE so that
|
||||
// avoid unnessary inconsistent generated plan which would cause the regression test fail
|
||||
sleep(60000)
|
||||
}
|
||||
@ -52,4 +52,28 @@ suite("tpch_sf1_q1_nereids") {
|
||||
l_returnflag,
|
||||
l_linestatus;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=false) */
|
||||
l_returnflag,
|
||||
l_linestatus,
|
||||
sum(l_quantity) as sum_qty,
|
||||
sum(l_extendedprice) as sum_base_price,
|
||||
sum(l_extendedprice * (1 - l_discount)) as sum_disc_price,
|
||||
sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge,
|
||||
avg(l_quantity) as avg_qty,
|
||||
avg(l_extendedprice) as avg_price,
|
||||
avg(l_discount) as avg_disc,
|
||||
count(*) as count_order
|
||||
from
|
||||
lineitem
|
||||
where
|
||||
l_shipdate <= date '1998-12-01' - interval '90' day
|
||||
group by
|
||||
l_returnflag,
|
||||
l_linestatus
|
||||
order by
|
||||
l_returnflag,
|
||||
l_linestatus;
|
||||
"""
|
||||
}
|
||||
@ -63,4 +63,42 @@ suite("tpch_sf1_q10_nereids") {
|
||||
revenue desc
|
||||
limit 20;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
c_custkey,
|
||||
c_name,
|
||||
sum(t1.l_extendedprice * (1 - t1.l_discount)) as revenue,
|
||||
c_acctbal,
|
||||
n_name,
|
||||
c_address,
|
||||
c_phone,
|
||||
c_comment
|
||||
from
|
||||
customer,
|
||||
(
|
||||
select o_custkey,l_extendedprice,l_discount from lineitem, orders
|
||||
where l_orderkey = o_orderkey
|
||||
and o_orderdate >= date '1993-10-01'
|
||||
and o_orderdate < date '1993-10-01' + interval '3' month
|
||||
and l_returnflag = 'R'
|
||||
) t1,
|
||||
nation
|
||||
where
|
||||
c_custkey = t1.o_custkey
|
||||
and c_nationkey = n_nationkey
|
||||
group by
|
||||
c_custkey,
|
||||
c_name,
|
||||
c_acctbal,
|
||||
c_phone,
|
||||
n_name,
|
||||
c_address,
|
||||
c_comment
|
||||
order by
|
||||
revenue desc
|
||||
limit 20;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -57,4 +57,36 @@ suite("tpch_sf1_q11_nereids") {
|
||||
order by
|
||||
value desc, ps_partkey;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
ps_partkey,
|
||||
sum(ps_supplycost * ps_availqty) as value
|
||||
from
|
||||
partsupp,
|
||||
(
|
||||
select s_suppkey
|
||||
from supplier, nation
|
||||
where s_nationkey = n_nationkey and n_name = 'GERMANY'
|
||||
) B
|
||||
where
|
||||
ps_suppkey = B.s_suppkey
|
||||
group by
|
||||
ps_partkey having
|
||||
sum(ps_supplycost * ps_availqty) > (
|
||||
select
|
||||
sum(ps_supplycost * ps_availqty) * 0.000002
|
||||
from
|
||||
partsupp,
|
||||
(select s_suppkey
|
||||
from supplier, nation
|
||||
where s_nationkey = n_nationkey and n_name = 'GERMANY'
|
||||
) A
|
||||
where
|
||||
ps_suppkey = A.s_suppkey
|
||||
)
|
||||
order by
|
||||
value desc, ps_partkey;
|
||||
"""
|
||||
|
||||
}
|
||||
@ -59,4 +59,37 @@ suite("tpch_sf1_q12_nereids") {
|
||||
order by
|
||||
l_shipmode;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
l_shipmode,
|
||||
sum(case
|
||||
when o_orderpriority = '1-URGENT'
|
||||
or o_orderpriority = '2-HIGH'
|
||||
then 1
|
||||
else 0
|
||||
end) as high_line_count,
|
||||
sum(case
|
||||
when o_orderpriority <> '1-URGENT'
|
||||
and o_orderpriority <> '2-HIGH'
|
||||
then 1
|
||||
else 0
|
||||
end) as low_line_count
|
||||
from
|
||||
orders,
|
||||
lineitem
|
||||
where
|
||||
o_orderkey = l_orderkey
|
||||
and l_shipmode in ('MAIL', 'SHIP')
|
||||
and l_commitdate < l_receiptdate
|
||||
and l_shipdate < l_commitdate
|
||||
and l_receiptdate >= date '1994-01-01'
|
||||
and l_receiptdate < date '1994-01-01' + interval '1' year
|
||||
group by
|
||||
l_shipmode
|
||||
order by
|
||||
l_shipmode;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -23,6 +23,7 @@ suite("tpch_sf1_q13_nereids") {
|
||||
realDb = realDb.substring(0, realDb.lastIndexOf("_"))
|
||||
|
||||
sql "use ${realDb}"
|
||||
|
||||
sql 'set enable_nereids_planner=true'
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
sql 'set exec_mem_limit=8589934592'
|
||||
@ -50,4 +51,29 @@ suite("tpch_sf1_q13_nereids") {
|
||||
custdist desc,
|
||||
c_count desc;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
c_count,
|
||||
count(*) as custdist
|
||||
from
|
||||
(
|
||||
select
|
||||
c_custkey,
|
||||
count(o_orderkey) as c_count
|
||||
from
|
||||
orders right outer join customer on
|
||||
c_custkey = o_custkey
|
||||
and o_comment not like '%special%requests%'
|
||||
group by
|
||||
c_custkey
|
||||
) as c_orders
|
||||
group by
|
||||
c_count
|
||||
order by
|
||||
custdist desc,
|
||||
c_count desc;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -23,6 +23,7 @@ suite("tpch_sf1_q14_nereids") {
|
||||
realDb = realDb.substring(0, realDb.lastIndexOf("_"))
|
||||
|
||||
sql "use ${realDb}"
|
||||
|
||||
sql 'set enable_nereids_planner=true'
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
sql 'set exec_mem_limit=8589934592'
|
||||
@ -43,4 +44,22 @@ where
|
||||
and l_shipdate >= date '1995-09-01'
|
||||
and l_shipdate < date '1995-09-01' + interval '1' month;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
100.00 * sum(case
|
||||
when p_type like 'PROMO%'
|
||||
then l_extendedprice * (1 - l_discount)
|
||||
else 0
|
||||
end) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue
|
||||
from
|
||||
part,
|
||||
lineitem
|
||||
where
|
||||
l_partkey = p_partkey
|
||||
and l_shipdate >= date '1995-09-01'
|
||||
and l_shipdate < date '1995-09-01' + interval '1' month;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -47,6 +47,8 @@ suite("tpch_sf1_q15_nereids") {
|
||||
l_suppkey;
|
||||
"""
|
||||
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
|
||||
qt_select """
|
||||
select
|
||||
s_suppkey,
|
||||
@ -69,4 +71,27 @@ suite("tpch_sf1_q15_nereids") {
|
||||
s_suppkey;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
s_suppkey,
|
||||
s_name,
|
||||
s_address,
|
||||
s_phone,
|
||||
total_revenue
|
||||
from
|
||||
supplier,
|
||||
revenue0
|
||||
where
|
||||
s_suppkey = supplier_no
|
||||
and total_revenue = (
|
||||
select
|
||||
max(total_revenue)
|
||||
from
|
||||
revenue0
|
||||
)
|
||||
order by
|
||||
s_suppkey;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -61,4 +61,39 @@ order by
|
||||
p_type,
|
||||
p_size;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
p_brand,
|
||||
p_type,
|
||||
p_size,
|
||||
count(distinct ps_suppkey) as supplier_cnt
|
||||
from
|
||||
partsupp,
|
||||
part
|
||||
where
|
||||
p_partkey = ps_partkey
|
||||
and p_brand <> 'Brand#45'
|
||||
and p_type not like 'MEDIUM POLISHED%'
|
||||
and p_size in (49, 14, 23, 45, 19, 3, 36, 9)
|
||||
and ps_suppkey not in (
|
||||
select
|
||||
s_suppkey
|
||||
from
|
||||
supplier
|
||||
where
|
||||
s_comment like '%Customer%Complaints%'
|
||||
)
|
||||
group by
|
||||
p_brand,
|
||||
p_type,
|
||||
p_size
|
||||
order by
|
||||
supplier_cnt desc,
|
||||
p_brand,
|
||||
p_type,
|
||||
p_size;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -48,4 +48,28 @@ suite("tpch_sf1_q17_nereids") {
|
||||
l_partkey = p_partkey
|
||||
);
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=1, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
sum(l_extendedprice) / 7.0 as avg_yearly
|
||||
from
|
||||
lineitem join
|
||||
part p1 on p1.p_partkey = l_partkey
|
||||
where
|
||||
p1.p_brand = 'Brand#23'
|
||||
and p1.p_container = 'MED BOX'
|
||||
and l_quantity < (
|
||||
select
|
||||
0.2 * avg(l_quantity)
|
||||
from
|
||||
lineitem join
|
||||
part p2 on p2.p_partkey = l_partkey
|
||||
where
|
||||
l_partkey = p1.p_partkey
|
||||
and p2.p_brand = 'Brand#23'
|
||||
and p2.p_container = 'MED BOX'
|
||||
);
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -64,5 +64,47 @@ order by
|
||||
o_orderdate
|
||||
limit 100;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
c_name,
|
||||
c_custkey,
|
||||
t3.o_orderkey,
|
||||
t3.o_orderdate,
|
||||
t3.o_totalprice,
|
||||
sum(t3.l_quantity)
|
||||
from
|
||||
customer join
|
||||
(
|
||||
select * from
|
||||
lineitem join
|
||||
(
|
||||
select * from
|
||||
orders left semi join
|
||||
(
|
||||
select
|
||||
l_orderkey
|
||||
from
|
||||
lineitem
|
||||
group by
|
||||
l_orderkey having sum(l_quantity) > 300
|
||||
) t1
|
||||
on o_orderkey = t1.l_orderkey
|
||||
) t2
|
||||
on t2.o_orderkey = l_orderkey
|
||||
) t3
|
||||
on c_custkey = t3.o_custkey
|
||||
group by
|
||||
c_name,
|
||||
c_custkey,
|
||||
t3.o_orderkey,
|
||||
t3.o_orderdate,
|
||||
t3.o_totalprice
|
||||
order by
|
||||
t3.o_totalprice desc,
|
||||
t3.o_orderdate
|
||||
limit 100;
|
||||
|
||||
"""
|
||||
}
|
||||
|
||||
@ -67,4 +67,42 @@ where
|
||||
);
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
sum(l_extendedprice* (1 - l_discount)) as revenue
|
||||
from
|
||||
lineitem,
|
||||
part
|
||||
where
|
||||
(
|
||||
p_partkey = l_partkey
|
||||
and p_brand = 'Brand#12'
|
||||
and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
|
||||
and l_quantity >= 1 and l_quantity <= 1 + 10
|
||||
and p_size between 1 and 5
|
||||
and l_shipmode in ('AIR', 'AIR REG')
|
||||
and l_shipinstruct = 'DELIVER IN PERSON'
|
||||
)
|
||||
or
|
||||
(
|
||||
p_partkey = l_partkey
|
||||
and p_brand = 'Brand#23'
|
||||
and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
|
||||
and l_quantity >= 10 and l_quantity <= 10 + 10
|
||||
and p_size between 1 and 10
|
||||
and l_shipmode in ('AIR', 'AIR REG')
|
||||
and l_shipinstruct = 'DELIVER IN PERSON'
|
||||
)
|
||||
or
|
||||
(
|
||||
p_partkey = l_partkey
|
||||
and p_brand = 'Brand#34'
|
||||
and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
|
||||
and l_quantity >= 20 and l_quantity <= 20 + 10
|
||||
and p_size between 1 and 15
|
||||
and l_shipmode in ('AIR', 'AIR REG')
|
||||
and l_shipinstruct = 'DELIVER IN PERSON'
|
||||
);
|
||||
"""
|
||||
|
||||
}
|
||||
@ -23,7 +23,7 @@ suite("tpch_sf1_q2_nereids") {
|
||||
realDb = realDb.substring(0, realDb.lastIndexOf("_"))
|
||||
|
||||
sql "use ${realDb}"
|
||||
|
||||
|
||||
sql 'set enable_nereids_planner=true'
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
sql 'set exec_mem_limit=8589934592'
|
||||
@ -76,4 +76,56 @@ order by
|
||||
limit 100;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=1, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
s_acctbal,
|
||||
s_name,
|
||||
n_name,
|
||||
p_partkey,
|
||||
p_mfgr,
|
||||
s_address,
|
||||
s_phone,
|
||||
s_comment
|
||||
from
|
||||
partsupp join
|
||||
(
|
||||
select
|
||||
ps_partkey as a_partkey,
|
||||
min(ps_supplycost) as a_min
|
||||
from
|
||||
partsupp,
|
||||
part,
|
||||
supplier,
|
||||
nation,
|
||||
region
|
||||
where
|
||||
p_partkey = ps_partkey
|
||||
and s_suppkey = ps_suppkey
|
||||
and s_nationkey = n_nationkey
|
||||
and n_regionkey = r_regionkey
|
||||
and r_name = 'EUROPE'
|
||||
and p_size = 15
|
||||
and p_type like '%BRASS'
|
||||
group by ps_partkey
|
||||
) A on ps_partkey = a_partkey and ps_supplycost=a_min ,
|
||||
part,
|
||||
supplier,
|
||||
nation,
|
||||
region
|
||||
where
|
||||
p_partkey = ps_partkey
|
||||
and s_suppkey = ps_suppkey
|
||||
and p_size = 15
|
||||
and p_type like '%BRASS'
|
||||
and s_nationkey = n_nationkey
|
||||
and n_regionkey = r_regionkey
|
||||
and r_name = 'EUROPE'
|
||||
|
||||
order by
|
||||
s_acctbal desc,
|
||||
n_name,
|
||||
s_name,
|
||||
p_partkey
|
||||
limit 100;
|
||||
"""
|
||||
}
|
||||
@ -23,6 +23,7 @@ suite("tpch_sf1_q20_nereids") {
|
||||
realDb = realDb.substring(0, realDb.lastIndexOf("_"))
|
||||
|
||||
sql "use ${realDb}"
|
||||
|
||||
sql 'set enable_nereids_planner=true'
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
sql 'set exec_mem_limit=8589934592'
|
||||
@ -67,4 +68,34 @@ where
|
||||
order by
|
||||
s_name;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
s_name, s_address from
|
||||
supplier left semi join
|
||||
(
|
||||
select * from
|
||||
(
|
||||
select l_partkey,l_suppkey, 0.5 * sum(l_quantity) as l_q
|
||||
from lineitem
|
||||
where l_shipdate >= date '1994-01-01'
|
||||
and l_shipdate < date '1994-01-01' + interval '1' year
|
||||
group by l_partkey,l_suppkey
|
||||
) t2 join
|
||||
(
|
||||
select ps_partkey, ps_suppkey, ps_availqty
|
||||
from partsupp left semi join part
|
||||
on ps_partkey = p_partkey and p_name like 'forest%'
|
||||
) t1
|
||||
on t2.l_partkey = t1.ps_partkey and t2.l_suppkey = t1.ps_suppkey
|
||||
and t1.ps_availqty > t2.l_q
|
||||
) t3
|
||||
on s_suppkey = t3.ps_suppkey
|
||||
join nation
|
||||
where s_nationkey = n_nationkey
|
||||
and n_name = 'CANADA'
|
||||
order by s_name;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -71,4 +71,39 @@ order by
|
||||
s_name
|
||||
limit 100;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
s_name, count(*) as numwait
|
||||
from orders join
|
||||
(
|
||||
select * from
|
||||
lineitem l2 right semi join
|
||||
(
|
||||
select * from
|
||||
lineitem l3 right anti join
|
||||
(
|
||||
select * from
|
||||
lineitem l1 join
|
||||
(
|
||||
select * from
|
||||
supplier join nation
|
||||
where s_nationkey = n_nationkey
|
||||
and n_name = 'SAUDI ARABIA'
|
||||
) t1
|
||||
where t1.s_suppkey = l1.l_suppkey and l1.l_receiptdate > l1.l_commitdate
|
||||
) t2
|
||||
on l3.l_orderkey = t2.l_orderkey and l3.l_suppkey <> t2.l_suppkey and l3.l_receiptdate > l3.l_commitdate
|
||||
) t3
|
||||
on l2.l_orderkey = t3.l_orderkey and l2.l_suppkey <> t3.l_suppkey
|
||||
) t4
|
||||
on o_orderkey = t4.l_orderkey and o_orderstatus = 'F'
|
||||
group by
|
||||
t4.s_name
|
||||
order by
|
||||
numwait desc,
|
||||
t4.s_name
|
||||
limit 100;
|
||||
"""
|
||||
|
||||
}
|
||||
@ -68,4 +68,45 @@ group by
|
||||
order by
|
||||
cntrycode;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
|
||||
cntrycode,
|
||||
count(*) as numcust,
|
||||
sum(c_acctbal) as totacctbal
|
||||
from
|
||||
(
|
||||
select
|
||||
substring(c_phone, 1, 2) as cntrycode,
|
||||
c_acctbal
|
||||
from
|
||||
customer
|
||||
where
|
||||
substring(c_phone, 1, 2) in
|
||||
('13', '31', '23', '29', '30', '18', '17')
|
||||
and c_acctbal > (
|
||||
select
|
||||
avg(c_acctbal)
|
||||
from
|
||||
customer
|
||||
where
|
||||
c_acctbal > 0.00
|
||||
and substring(c_phone, 1, 2) in
|
||||
('13', '31', '23', '29', '30', '18', '17')
|
||||
)
|
||||
and not exists (
|
||||
select
|
||||
*
|
||||
from
|
||||
orders
|
||||
where
|
||||
o_custkey = c_custkey
|
||||
)
|
||||
) as custsale
|
||||
group by
|
||||
cntrycode
|
||||
order by
|
||||
cntrycode;
|
||||
"""
|
||||
|
||||
}
|
||||
@ -55,4 +55,31 @@ suite("tpch_sf1_q3_nereids") {
|
||||
limit 10;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
l_orderkey,
|
||||
sum(l_extendedprice * (1 - l_discount)) as revenue,
|
||||
o_orderdate,
|
||||
o_shippriority
|
||||
from
|
||||
(
|
||||
select l_orderkey, l_extendedprice, l_discount, o_orderdate, o_shippriority, o_custkey from
|
||||
lineitem join orders
|
||||
where l_orderkey = o_orderkey
|
||||
and o_orderdate < date '1995-03-15'
|
||||
and l_shipdate > date '1995-03-15'
|
||||
) t1 join customer c
|
||||
on c.c_custkey = t1.o_custkey
|
||||
where c_mktsegment = 'BUILDING'
|
||||
group by
|
||||
l_orderkey,
|
||||
o_orderdate,
|
||||
o_shippriority
|
||||
order by
|
||||
revenue desc,
|
||||
o_orderdate
|
||||
limit 10;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
@ -52,4 +52,28 @@ suite("tpch_sf1_q4_nereids") {
|
||||
order by
|
||||
o_orderpriority;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=4, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
o_orderpriority,
|
||||
count(*) as order_count
|
||||
from
|
||||
(
|
||||
select
|
||||
*
|
||||
from
|
||||
lineitem
|
||||
where l_commitdate < l_receiptdate
|
||||
) t1
|
||||
right semi join orders
|
||||
on t1.l_orderkey = o_orderkey
|
||||
where
|
||||
o_orderdate >= date '1993-07-01'
|
||||
and o_orderdate < date '1993-07-01' + interval '3' month
|
||||
group by
|
||||
o_orderpriority
|
||||
order by
|
||||
o_orderpriority;
|
||||
"""
|
||||
|
||||
}
|
||||
@ -26,7 +26,7 @@ suite("tpch_sf1_q5_nereids") {
|
||||
|
||||
sql 'set enable_nereids_planner=true'
|
||||
sql 'set enable_fallback_to_original_planner=false'
|
||||
sql 'set exec_mem_limit=17179869184'
|
||||
sql 'set exec_mem_limit=8589934592'
|
||||
sql 'set enable_nereids_stats_derive_v2=false'
|
||||
|
||||
qt_select """
|
||||
@ -55,4 +55,34 @@ suite("tpch_sf1_q5_nereids") {
|
||||
order by
|
||||
revenue desc;
|
||||
"""
|
||||
|
||||
qt_select """
|
||||
|
||||
select /*+SET_VAR(exec_mem_limit=17179869184, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
|
||||
n_name,
|
||||
sum(l_extendedprice * (1 - l_discount)) as revenue
|
||||
from
|
||||
customer,
|
||||
orders,
|
||||
lineitem,
|
||||
supplier,
|
||||
nation,
|
||||
region
|
||||
where
|
||||
c_custkey = o_custkey
|
||||
and l_orderkey = o_orderkey
|
||||
and l_suppkey = s_suppkey
|
||||
and c_nationkey = s_nationkey
|
||||
and s_nationkey = n_nationkey
|
||||
and n_regionkey = r_regionkey
|
||||
and r_name = 'ASIA'
|
||||
and o_orderdate >= date '1994-01-01'
|
||||
and o_orderdate < date '1994-01-01' + interval '1' year
|
||||
group by
|
||||
n_name
|
||||
order by
|
||||
revenue desc;
|
||||
|
||||
"""
|
||||
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user