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-rw-r--r--mysql-test/t/index_intersect.test103
1 files changed, 50 insertions, 53 deletions
diff --git a/mysql-test/t/index_intersect.test b/mysql-test/t/index_intersect.test
index 0fe89b714fa..ef70134b614 100644
--- a/mysql-test/t/index_intersect.test
+++ b/mysql-test/t/index_intersect.test
@@ -44,7 +44,7 @@ SELECT COUNT(*) FROM City;
SELECT COUNT(*) FROM City WHERE Name LIKE 'C%';
SELECT COUNT(*) FROM City WHERE Name LIKE 'M%';
SELECT COUNT(*) FROM City WHERE Population > 1000000;
-SELECT COUNT(*) FROM City WHERE Population > 500000;
+SELECT COUNT(*) FROM City WHERE Population > 1500000;
SELECT COUNT(*) FROM City WHERE Population > 300000;
SELECT COUNT(*) FROM City WHERE Population > 5000000;
@@ -60,7 +60,7 @@ SELECT * FROM City WHERE
EXPLAIN
SELECT * FROM City WHERE
- Name LIKE 'M%' AND Population > 500000;
+ Name LIKE 'M%' AND Population > 1500000;
EXPLAIN
SELECT * FROM City
@@ -84,10 +84,10 @@ SELECT * FROM City
SELECT * FROM City USE INDEX ()
- WHERE Name LIKE 'M%' AND Population > 500000;
+ WHERE Name LIKE 'M%' AND Population > 1500000;
SELECT * FROM City
- WHERE Name LIKE 'M%' AND Population > 500000;
+ WHERE Name LIKE 'M%' AND Population > 1500000;
SELECT * FROM City USE INDEX ()
@@ -104,16 +104,15 @@ SELECT * FROM City
WHERE Name LIKE 'M%' AND Population > 5000000;
-# The output of the next 7 queries tells us about selectivities
+# The output of the next 6 queries tells us about selectivities
# of the conditions utilized in 3 queries following after them
SELECT COUNT(*) FROM City WHERE Name BETWEEN 'M' AND 'N';
SELECT COUNT(*) FROM City WHERE Name BETWEEN 'G' AND 'J';
SELECT COUNT(*) FROM City WHERE Population > 1000000;
-SELECT COUNT(*) FROM City WHERE Population > 700000;
SELECT COUNT(*) FROM City WHERE Population > 500000;
SELECT COUNT(*) FROM City WHERE Country LIKE 'C%';
-SELECT COUNT(*) FROM City WHERE Country LIKE 'L%';
+SELECT COUNT(*) FROM City WHERE Country LIKE 'B%';
# The pattern of the WHERE condition used in the following 3 queries is
@@ -129,7 +128,7 @@ SELECT * FROM City
EXPLAIN
SELECT * FROM City
- WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'L%';
+ WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
EXPLAIN
SELECT * FROM City
@@ -149,10 +148,10 @@ SELECT * FROM City
SELECT * FROM City USE INDEX ()
- WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'M%';
+ WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
SELECT * FROM City
- WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'M%';
+ WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
SELECT * FROM City USE INDEX ()
@@ -162,17 +161,20 @@ SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
-# The output of the next 9 queries tells us about selectivities
+# The output of the next 12 queries tells us about selectivities
# of the conditions utilized in 5 queries following after them
-SELECT COUNT(*) FROM City WHERE ID BETWEEN 500 AND 999;
-SELECT COUNT(*) FROM City WHERE ID BETWEEN 3500 AND 3999;
-SELECT COUNT(*) FROM City WHERE ID BETWEEN 1 AND 1000;
+SELECT COUNT(*) FROM City WHERE ID BETWEEN 501 AND 1000;
+SELECT COUNT(*) FROM City WHERE ID BETWEEN 1 AND 500;
+SELECT COUNT(*) FROM City WHERE ID BETWEEN 2001 AND 2500;
+SELECT COUNT(*) FROM City WHERE ID BETWEEN 3701 AND 4000;
SELECT COUNT(*) FROM City WHERE Population > 700000;
SELECT COUNT(*) FROM City WHERE Population > 1000000;
SELECT COUNT(*) FROM City WHERE Population > 300000;
+SELECT COUNT(*) FROM City WHERE Population > 600000;
SELECT COUNT(*) FROM City WHERE Country LIKE 'C%';
SELECT COUNT(*) FROM City WHERE Country LIKE 'A%';
+SELECT COUNT(*) FROM City WHERE Country LIKE 'L%';
SELECT COUNT(*) FROM City WHERE Country BETWEEN 'S' AND 'Z';
@@ -181,7 +183,7 @@ SELECT COUNT(*) FROM City WHERE Country BETWEEN 'S' AND 'Z';
# with key1 happens to be a primary key (it matters only for InnoDB)
# Varying values of the constants in the conjuncts of the condition
# we can get index intersection either over all three keys, or over
-# different pairs, or a range sacn over one of these keys.
+# different pairs, or a range scan over one of these keys.
# Bear in mind that the condition (Country LIKE 'A%') is actually
# equivalent to the condition (Country BETWEEN 'A' AND 'B') for the
# tested instance the table City.
@@ -189,24 +191,24 @@ SELECT COUNT(*) FROM City WHERE Country BETWEEN 'S' AND 'Z';
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 700000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 1000000 AND Country LIKE 'A%';
+ WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 300000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'L%';
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 3500 AND 3999 AND Population > 700000
+ WHERE ID BETWEEN 3701 AND 4000 AND Population > 1000000
AND Country BETWEEN 'S' AND 'Z';
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 1 AND 1000 AND Population > 700000
+ WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
@@ -216,41 +218,41 @@ SELECT * FROM City
SELECT * FROM City USE INDEX ()
- WHERE ID BETWEEN 500 AND 999 AND Population > 700000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 700000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 501 AND 1000 AND Population > 700000 AND Country LIKE 'C%';
SELECT * FROM City USE INDEX ()
- WHERE ID BETWEEN 500 AND 999 AND Population > 1000000 AND Country LIKE 'A%';
+ WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 1000000 AND Country LIKE 'A%';
+ WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
SELECT * FROM City USE INDEX ()
- WHERE ID BETWEEN 500 AND 999 AND Population > 300000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'L%';
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 300000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 2001 AND 2500 AND Population > 300000 AND Country LIKE 'L%';
SELECT * FROM City USE INDEX ()
- WHERE ID BETWEEN 3500 AND 3999 AND Population > 700000
+ WHERE ID BETWEEN 3701 AND 4000 AND Population > 700000
AND Country BETWEEN 'S' AND 'Z';
SELECT * FROM City
- WHERE ID BETWEEN 3500 AND 3999 AND Population > 700000
+ WHERE ID BETWEEN 3701 AND 4000 AND Population > 700000
AND Country BETWEEN 'S' AND 'Z';
SELECT * FROM City USE INDEX ()
- WHERE ID BETWEEN 1 AND 1000 AND Population > 700000
+ WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
SELECT * FROM City
- WHERE ID BETWEEN 1 AND 1000 AND Population > 700000
+ WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
AND Country BETWEEN 'S' AND 'Z' ;
@@ -267,16 +269,12 @@ SELECT * FROM City WHERE
EXPLAIN
SELECT * FROM City WHERE
- Name LIKE 'M%' AND Population > 500000;
-
+ Name LIKE 'M%' AND Population > 1500000;
-EXPLAIN
-SELECT * FROM City
- WHERE Name LIKE 'C%' AND Population > 1000000 AND Country LIKE 'C%';
EXPLAIN
SELECT * FROM City
- WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'M%';
+ WHERE Name BETWEEN 'G' AND 'J' AND Population > 1000000 AND Country LIKE 'B%';
EXPLAIN
SELECT * FROM City
@@ -285,11 +283,12 @@ SELECT * FROM City
EXPLAIN
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 1000000 AND Country LIKE 'A%';
+ WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
EXPLAIN
SELECT * FROM City
- WHERE ID < 1000 AND Population > 700000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
+ AND Country BETWEEN 'S' AND 'Z';
#Yet the query themselves return the correct results in this case as well
@@ -299,24 +298,22 @@ SELECT * FROM City WHERE
Name LIKE 'C%' AND Population > 1000000;
SELECT * FROM City WHERE
- Name LIKE 'M%' AND Population > 500000;
-
+ Name LIKE 'M%' AND Population > 1500000;
-SELECT * FROM City
- WHERE Name BETWEEN 'M' AND 'N' AND Population > 1000000 AND Country LIKE 'C%';
SELECT * FROM City
- WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'M%';
+ WHERE Name BETWEEN 'G' AND 'J' AND Population > 700000 AND Country LIKE 'B%';
SELECT * FROM City
WHERE Name BETWEEN 'G' AND 'J' AND Population > 500000 AND Country LIKE 'C%';
SELECT * FROM City
- WHERE ID BETWEEN 500 AND 999 AND Population > 1000000 AND Country LIKE 'A%';
+ WHERE ID BETWEEN 1 AND 500 AND Population > 1000000 AND Country LIKE 'A%';
SELECT * FROM City
- WHERE ID < 1000 AND Population > 700000 AND Country LIKE 'C%';
+ WHERE ID BETWEEN 3001 AND 4000 AND Population > 600000
+ AND Country BETWEEN 'S' AND 'Z';
SET SESSION sort_buffer_size = default;
@@ -343,39 +340,39 @@ ANALYZE TABLE City;
EXPLAIN
SELECT * FROM City
- WHERE Country LIKE 'M%' AND Population > 700000;
+ WHERE Country LIKE 'M%' AND Population > 1000000;
EXPLAIN
SELECT * FROM City
- WHERE Country='CHN' AND Population > 1000000;
+ WHERE Country='CHN' AND Population > 1500000;
EXPLAIN
SELECT * FROM City
- WHERE Country='CHN' AND Population > 1000000 AND Name LIKE 'C%';
+ WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
# Check that the previous 3 plans return the right results when executed
SELECT * FROM City USE INDEX ()
- WHERE Country LIKE 'M%' AND Population > 700000;
+ WHERE Country LIKE 'M%' AND Population > 1000000;
SELECT * FROM City
WHERE Country LIKE 'M%' AND Population > 700000;
SELECT * FROM City USE INDEX ()
- WHERE Country='CHN' AND Population > 1000000;
+ WHERE Country='CHN' AND Population > 1500000;
SELECT * FROM City
- WHERE Country='CHN' AND Population > 1000000;
+ WHERE Country='CHN' AND Population > 1500000;
SELECT * FROM City USE INDEX ()
- WHERE Country='CHN' AND Population > 1000000 AND Name LIKE 'C%';
+ WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
SELECT * FROM City
- WHERE Country='CHN' AND Population > 1000000 AND Name LIKE 'C%';
+ WHERE Country='CHN' AND Population > 1500000 AND Name LIKE 'C%';
DROP DATABASE world;