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Administrator
h2database
Commits
f6f3a3d8
提交
f6f3a3d8
authored
5月 06, 2018
作者:
Noel Grandin
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电子邮件补丁
差异文件
address review comments
上级
c3deabaa
显示空白字符变更
内嵌
并排
正在显示
2 个修改的文件
包含
65 行增加
和
64 行删除
+65
-64
Select.java
h2/src/main/org/h2/command/dml/Select.java
+63
-61
ValueHashMap.java
h2/src/main/org/h2/util/ValueHashMap.java
+2
-3
没有找到文件。
h2/src/main/org/h2/command/dml/Select.java
浏览文件 @
f6f3a3d8
...
@@ -187,9 +187,7 @@ public class Select extends Query {
...
@@ -187,9 +187,7 @@ public class Select extends Query {
public
void
setCurrentGroupExprData
(
Expression
expr
,
Object
obj
)
{
public
void
setCurrentGroupExprData
(
Expression
expr
,
Object
obj
)
{
Integer
index
=
exprToIndexInGroupByData
.
get
(
expr
);
Integer
index
=
exprToIndexInGroupByData
.
get
(
expr
);
if
(
index
!=
null
)
{
if
(
index
!=
null
)
{
if
(
currentGroupByExprData
[
index
]
!=
null
)
{
assert
currentGroupByExprData
[
index
]
!=
null
;
throw
DbException
.
throwInternalError
();
}
currentGroupByExprData
[
index
]
=
obj
;
currentGroupByExprData
[
index
]
=
obj
;
return
;
return
;
}
}
...
@@ -368,6 +366,7 @@ public class Select extends Query {
...
@@ -368,6 +366,7 @@ public class Select extends Query {
currentGroupByExprData
=
null
;
currentGroupByExprData
=
null
;
currentGroupsKey
=
null
;
currentGroupsKey
=
null
;
exprToIndexInGroupByData
.
clear
();
exprToIndexInGroupByData
.
clear
();
try
{
int
rowNumber
=
0
;
int
rowNumber
=
0
;
setCurrentRowNumber
(
0
);
setCurrentRowNumber
(
0
);
ValueArray
defaultGroup
=
ValueArray
.
get
(
new
Value
[
0
]);
ValueArray
defaultGroup
=
ValueArray
.
get
(
new
Value
[
0
]);
...
@@ -407,7 +406,8 @@ public class Select extends Query {
...
@@ -407,7 +406,8 @@ public class Select extends Query {
}
}
}
}
if
(
groupIndex
==
null
&&
groupByData
.
size
()
==
0
)
{
if
(
groupIndex
==
null
&&
groupByData
.
size
()
==
0
)
{
groupByData
.
put
(
defaultGroup
,
new
Object
[
Math
.
max
(
exprToIndexInGroupByData
.
size
(),
expressions
.
size
())]);
groupByData
.
put
(
defaultGroup
,
new
Object
[
Math
.
max
(
exprToIndexInGroupByData
.
size
(),
expressions
.
size
())]);
}
}
ArrayList
<
Value
>
keys
=
groupByData
.
keys
();
ArrayList
<
Value
>
keys
=
groupByData
.
keys
();
for
(
Value
v
:
keys
)
{
for
(
Value
v
:
keys
)
{
...
@@ -431,11 +431,13 @@ public class Select extends Query {
...
@@ -431,11 +431,13 @@ public class Select extends Query {
row
=
keepOnlyDistinct
(
row
,
columnCount
);
row
=
keepOnlyDistinct
(
row
,
columnCount
);
result
.
addRow
(
row
);
result
.
addRow
(
row
);
}
}
}
finally
{
groupByData
=
null
;
groupByData
=
null
;
currentGroupsKey
=
null
;
currentGroupsKey
=
null
;
currentGroupByExprData
=
null
;
currentGroupByExprData
=
null
;
exprToIndexInGroupByData
.
clear
();
exprToIndexInGroupByData
.
clear
();
}
}
}
/**
/**
* Get the index that matches the ORDER BY list, if one exists. This is to
* Get the index that matches the ORDER BY list, if one exists. This is to
...
...
h2/src/main/org/h2/util/ValueHashMap.java
浏览文件 @
f6f3a3d8
...
@@ -19,14 +19,13 @@ import org.h2.value.ValueNull;
...
@@ -19,14 +19,13 @@ import org.h2.value.ValueNull;
* <p>
* <p>
* HashMap in archaic versions of Java have some overhead for allocation of
* HashMap in archaic versions of Java have some overhead for allocation of
* entries, but slightly better behaviour with limited number of collisions,
* entries, but slightly better behaviour with limited number of collisions,
* because collisions have no impact on non-colliding ent
ir
es. HashMap in modern
* because collisions have no impact on non-colliding ent
ri
es. HashMap in modern
* versions of Java also have the same overhead, but it builds a trees of keys
* versions of Java also have the same overhead, but it builds a trees of keys
* with colliding hashes, that's why even if the all keys have exactly the same
* with colliding hashes, that's why even if the all keys have exactly the same
* hash code it still offers a good performance similar to TreeMap. So
* hash code it still offers a good performance similar to TreeMap. So
* ValueHashMap is faster in typical cases, but may behave really bad in some
* ValueHashMap is faster in typical cases, but may behave really bad in some
* cases. HashMap is slower in typical cases, but its performance does not
* cases. HashMap is slower in typical cases, but its performance does not
* degrade too much even in the worst possible case (if keys are comparable,
* degrade too much even in the worst possible case (if keys are comparable).
* like our Value class).
*
*
* @param <V> the value type
* @param <V> the value type
*/
*/
...
...
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