Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
taosdata
TDengine
提交
1e25eac4
T
TDengine
项目概览
taosdata
/
TDengine
大约 2 年 前同步成功
通知
1193
Star
22018
Fork
4786
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
T
TDengine
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1
Issue
1
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
“ca8b7a2760be58670ad9388fddc99a1f4bb0d88a”上不存在“projects/shwenzhang”
提交
1e25eac4
编写于
11月 20, 2022
作者:
H
Haojun Liao
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
refactor: do some internal refactor.
上级
d3452f66
变更
1
显示空白变更内容
内联
并排
Showing
1 changed file
with
374 addition
and
159 deletion
+374
-159
source/libs/function/src/detail/tminmax.c
source/libs/function/src/detail/tminmax.c
+374
-159
未找到文件。
source/libs/function/src/detail/tminmax.c
浏览文件 @
1e25eac4
...
@@ -21,67 +21,58 @@
...
@@ -21,67 +21,58 @@
static
int32_t
i32VectorCmpAVX2
(
const
int32_t
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
static
int32_t
i32VectorCmpAVX2
(
const
int32_t
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
int32_t
v
=
0
;
int32_t
v
=
0
;
const
int32_t
bitWidth
=
256
;
const
int32_t
*
p
=
pData
;
#if __AVX2__
int32_t
width
=
(
bitWidth
>>
3u
)
/
sizeof
(
int32_t
);
int32_t
startElem
=
0
;
//((uint64_t)plist) & ((1<<8u)-1);
int32_t
remain
=
numOfRows
%
width
;
int32_t
bitWidth
=
8
;
int32_t
rounds
=
numOfRows
/
width
;
int32_t
remain
=
(
numOfRows
-
startElem
)
%
bitWidth
;
int32_t
rounds
=
(
numOfRows
-
startElem
)
/
bitWidth
;
const
int32_t
*
p
=
&
pData
[
startElem
];
#if __AVX2__
__m256i
next
;
__m256i
next
;
__m256i
initialVal
=
_mm256_loadu_si256
((
__m256i
*
)
p
);
__m256i
initialVal
=
_mm256_loadu_si256
((
__m256i
*
)
p
);
p
+=
bitW
idth
;
p
+=
w
idth
;
if
(
!
isMinFunc
)
{
// max function
if
(
!
isMinFunc
)
{
// max function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_max_epi32
(
initialVal
,
next
);
initialVal
=
_mm256_max_epi32
(
initialVal
,
next
);
p
+=
bitW
idth
;
p
+=
w
idth
;
}
}
// let sum up the final results
// let sum up the final results
const
int32_t
*
q
=
(
const
int32_t
*
)
&
initialVal
;
const
int32_t
*
q
=
(
const
int32_t
*
)
&
initialVal
;
v
=
TMAX
(
q
[
0
],
q
[
1
]);
v
=
TMAX
(
q
[
0
],
q
[
1
]);
v
=
TMAX
(
v
,
q
[
2
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMAX
(
v
,
q
[
3
]);
v
=
TMAX
(
v
,
q
[
k
]);
v
=
TMAX
(
v
,
q
[
4
]);
}
v
=
TMAX
(
v
,
q
[
5
]);
v
=
TMAX
(
v
,
q
[
6
]);
v
=
TMAX
(
v
,
q
[
7
]);
// calculate the front and the reminder items in array list
// calculate the front and the reminder items in array list
startElem
+=
rounds
*
bitW
idth
;
int32_t
start
=
rounds
*
w
idth
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
<
p
[
j
+
start
Elem
])
{
if
(
v
<
p
[
j
+
start
])
{
v
=
p
[
j
+
start
Elem
];
v
=
p
[
j
+
start
];
}
}
}
}
}
else
{
// min function
}
else
{
// min function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_min_epi32
(
initialVal
,
next
);
initialVal
=
_mm256_min_epi32
(
initialVal
,
next
);
p
+=
bitW
idth
;
p
+=
w
idth
;
}
}
// let sum up the final results
// let sum up the final results
const
int32_t
*
q
=
(
const
int32_t
*
)
&
initialVal
;
const
int32_t
*
q
=
(
const
int32_t
*
)
&
initialVal
;
v
=
TMIN
(
q
[
0
],
q
[
1
]);
v
=
TMIN
(
q
[
0
],
q
[
1
]);
v
=
TMIN
(
v
,
q
[
2
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMIN
(
v
,
q
[
3
]);
v
=
TMIN
(
v
,
q
[
k
]);
v
=
TMIN
(
v
,
q
[
4
]);
}
v
=
TMIN
(
v
,
q
[
5
]);
v
=
TMIN
(
v
,
q
[
6
]);
v
=
TMIN
(
v
,
q
[
7
]);
// calculate the front and the remainder items in array list
// calculate the front and the remainder items in array list
startElem
+=
rounds
*
bitW
idth
;
int32_t
start
=
rounds
*
w
idth
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
>
p
[
j
+
start
Elem
])
{
if
(
v
>
p
[
j
+
start
])
{
v
=
p
[
j
+
start
Elem
];
v
=
p
[
j
+
start
];
}
}
}
}
}
}
...
@@ -92,69 +83,186 @@ static int32_t i32VectorCmpAVX2(const int32_t* pData, int32_t numOfRows, bool is
...
@@ -92,69 +83,186 @@ static int32_t i32VectorCmpAVX2(const int32_t* pData, int32_t numOfRows, bool is
static
float
floatVectorCmpAVX
(
const
float
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
static
float
floatVectorCmpAVX
(
const
float
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
float
v
=
0
;
float
v
=
0
;
const
int32_t
bitWidth
=
256
;
const
float
*
p
=
pData
;
#if __AVX__
int32_t
width
=
(
bitWidth
>>
3u
)
/
sizeof
(
float
);
int32_t
startElem
=
0
;
//((uint64_t)plist) & ((1<<8u)-1);
int32_t
remain
=
numOfRows
%
width
;
int32_t
i
=
0
;
int32_t
rounds
=
numOfRows
/
width
;
int32_t
bitWidth
=
8
;
int32_t
remain
=
(
numOfRows
-
startElem
)
%
bitWidth
;
#if __AVX__
int32_t
rounds
=
(
numOfRows
-
startElem
)
/
bitWidth
;
const
float
*
p
=
&
pData
[
startElem
];
__m256
next
;
__m256
next
;
__m256
initialVal
=
_mm256_loadu_ps
(
p
);
__m256
initialVal
=
_mm256_loadu_ps
(
p
);
p
+=
bitW
idth
;
p
+=
w
idth
;
if
(
!
isMinFunc
)
{
// max function
if
(
!
isMinFunc
)
{
// max function
for
(;
i
<
rounds
;
++
i
)
{
for
(
int32_t
i
=
1
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_loadu_ps
(
p
);
next
=
_mm256_loadu_ps
(
p
);
initialVal
=
_mm256_max_ps
(
initialVal
,
next
);
initialVal
=
_mm256_max_ps
(
initialVal
,
next
);
p
+=
bitW
idth
;
p
+=
w
idth
;
}
}
// let sum up the final results
// let sum up the final results
const
float
*
q
=
(
const
float
*
)
&
initialVal
;
const
float
*
q
=
(
const
float
*
)
&
initialVal
;
v
=
TMAX
(
q
[
0
],
q
[
1
]);
v
=
TMAX
(
q
[
0
],
q
[
1
]);
v
=
TMAX
(
v
,
q
[
2
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMAX
(
v
,
q
[
3
]);
v
=
TMAX
(
v
,
q
[
k
]);
v
=
TMAX
(
v
,
q
[
4
]);
}
v
=
TMAX
(
v
,
q
[
5
]);
v
=
TMAX
(
v
,
q
[
6
]);
v
=
TMAX
(
v
,
q
[
7
]);
// calculate the front and the reminder items in array list
// calculate the front and the reminder items in array list
startElem
+=
rounds
*
bitW
idth
;
int32_t
start
=
rounds
*
w
idth
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
<
p
[
j
+
startElem
])
{
if
(
v
<
p
[
j
+
width
])
{
v
=
p
[
j
+
startElem
];
v
=
p
[
j
+
width
];
}
}
}
}
}
else
{
// min function
}
else
{
// min function
for
(;
i
<
rounds
;
++
i
)
{
for
(
int32_t
i
=
1
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_loadu_ps
(
p
);
next
=
_mm256_loadu_ps
(
p
);
initialVal
=
_mm256_min_ps
(
initialVal
,
next
);
initialVal
=
_mm256_min_ps
(
initialVal
,
next
);
p
+=
bitW
idth
;
p
+=
w
idth
;
}
}
// let sum up the final results
// let sum up the final results
const
float
*
q
=
(
const
float
*
)
&
initialVal
;
const
float
*
q
=
(
const
float
*
)
&
initialVal
;
v
=
TMIN
(
q
[
0
],
q
[
1
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMIN
(
v
,
q
[
k
]);
}
// calculate the front and the reminder items in array list
int32_t
start
=
rounds
*
bitWidth
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
>
p
[
j
+
start
])
{
v
=
p
[
j
+
start
];
}
}
}
#endif
return
v
;
}
static
int8_t
i8VectorCmpAVX2
(
const
int8_t
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
int8_t
v
=
0
;
const
int32_t
bitWidth
=
256
;
const
int8_t
*
p
=
pData
;
int32_t
width
=
(
bitWidth
>>
3u
)
/
sizeof
(
int8_t
);
int32_t
remain
=
numOfRows
%
width
;
int32_t
rounds
=
numOfRows
/
width
;
#if __AVX2__
__m256i
next
;
__m256i
initialVal
=
_mm256_loadu_si256
((
__m256i
*
)
p
);
p
+=
width
;
if
(
!
isMinFunc
)
{
// max function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_max_epi8
(
initialVal
,
next
);
p
+=
width
;
}
// let sum up the final results
const
int8_t
*
q
=
(
const
int8_t
*
)
&
initialVal
;
v
=
TMAX
(
q
[
0
],
q
[
1
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMAX
(
v
,
q
[
k
]);
}
// calculate the front and the reminder items in array list
int32_t
start
=
rounds
*
width
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
<
p
[
j
+
start
])
{
v
=
p
[
j
+
start
];
}
}
}
else
{
// min function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_min_epi8
(
initialVal
,
next
);
p
+=
width
;
}
// let sum up the final results
const
int8_t
*
q
=
(
const
int8_t
*
)
&
initialVal
;
v
=
TMIN
(
q
[
0
],
q
[
1
]);
v
=
TMIN
(
q
[
0
],
q
[
1
]);
v
=
TMIN
(
v
,
q
[
2
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMIN
(
v
,
q
[
3
]);
v
=
TMIN
(
v
,
q
[
k
]);
v
=
TMIN
(
v
,
q
[
4
]);
}
v
=
TMIN
(
v
,
q
[
5
]);
v
=
TMIN
(
v
,
q
[
6
]);
// calculate the front and the remainder items in array list
v
=
TMIN
(
v
,
q
[
7
]);
int32_t
start
=
rounds
*
width
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
>
p
[
j
+
start
])
{
v
=
p
[
j
+
start
];
}
}
}
#endif
return
v
;
}
static
int16_t
i16VectorCmpAVX2
(
const
int16_t
*
pData
,
int32_t
numOfRows
,
bool
isMinFunc
)
{
int16_t
v
=
0
;
const
int32_t
bitWidth
=
256
;
const
int16_t
*
p
=
pData
;
int32_t
width
=
(
bitWidth
>>
3u
)
/
sizeof
(
int16_t
);
int32_t
remain
=
numOfRows
%
width
;
int32_t
rounds
=
numOfRows
/
width
;
#if __AVX2__
__m256i
next
;
__m256i
initialVal
=
_mm256_loadu_si256
((
__m256i
*
)
p
);
p
+=
width
;
if
(
!
isMinFunc
)
{
// max function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_max_epi16
(
initialVal
,
next
);
p
+=
width
;
}
// let sum up the final results
const
int16_t
*
q
=
(
const
int16_t
*
)
&
initialVal
;
v
=
TMAX
(
q
[
0
],
q
[
1
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMAX
(
v
,
q
[
k
]);
}
// calculate the front and the reminder items in array list
// calculate the front and the reminder items in array list
startElem
+=
rounds
*
bitW
idth
;
int32_t
start
=
rounds
*
w
idth
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
>
p
[
j
+
startElem
])
{
if
(
v
<
p
[
j
+
start
])
{
v
=
p
[
j
+
startElem
];
v
=
p
[
j
+
start
];
}
}
}
else
{
// min function
for
(
int32_t
i
=
0
;
i
<
rounds
;
++
i
)
{
next
=
_mm256_lddqu_si256
((
__m256i
*
)
p
);
initialVal
=
_mm256_min_epi16
(
initialVal
,
next
);
p
+=
width
;
}
// let sum up the final results
const
int16_t
*
q
=
(
const
int16_t
*
)
&
initialVal
;
v
=
TMIN
(
q
[
0
],
q
[
1
]);
for
(
int32_t
k
=
1
;
k
<
width
;
++
k
)
{
v
=
TMIN
(
v
,
q
[
k
]);
}
// calculate the front and the remainder items in array list
int32_t
start
=
rounds
*
width
;
for
(
int32_t
j
=
0
;
j
<
remain
;
++
j
)
{
if
(
v
>
p
[
j
+
start
])
{
v
=
p
[
j
+
start
];
}
}
}
}
}
}
...
@@ -163,6 +271,68 @@ static float floatVectorCmpAVX(const float* pData, int32_t numOfRows, bool isMin
...
@@ -163,6 +271,68 @@ static float floatVectorCmpAVX(const float* pData, int32_t numOfRows, bool isMin
return
v
;
return
v
;
}
}
//static int64_t i64VectorCmpAVX2(const int64_t* pData, int32_t numOfRows, bool isMinFunc) {
// int64_t v = 0;
// const int32_t bitWidth = 256;
// const int64_t* p = pData;
//
// int32_t width = (bitWidth>>3u) / sizeof(int64_t);
// int32_t remain = numOfRows % width;
// int32_t rounds = numOfRows / width;
//
//#if __AVX2__
// __m256i next;
// __m256i initialVal = _mm256_loadu_si256((__m256i*)p);
// p += width;
//
// if (!isMinFunc) { // max function
// for (int32_t i = 0; i < rounds; ++i) {
// next = _mm256_lddqu_si256((__m256i*)p);
// initialVal = _mm256_max_epi64(initialVal, next);
// p += width;
// }
//
// // let sum up the final results
// const int64_t* q = (const int64_t*)&initialVal;
// v = TMAX(q[0], q[1]);
// for(int32_t k = 1; k < width; ++k) {
// v = TMAX(v, q[k]);
// }
//
// // calculate the front and the reminder items in array list
// int32_t start = rounds * width;
// for (int32_t j = 0; j < remain; ++j) {
// if (v < p[j + start]) {
// v = p[j + start];
// }
// }
// } else { // min function
// for (int32_t i = 0; i < rounds; ++i) {
// next = _mm256_lddqu_si256((__m256i*)p);
// initialVal = _mm256_min_epi64(initialVal, next);
// p += width;
// }
//
// // let sum up the final results
// const int64_t* q = (const int64_t*)&initialVal;
// v = TMIN(q[0], q[1]);
// for(int32_t k = 1; k < width; ++k) {
// v = TMIN(v, q[k]);
// }
//
// // calculate the front and the remainder items in array list
// int32_t start = rounds * width;
// for (int32_t j = 0; j < remain; ++j) {
// if (v > p[j + start]) {
// v = p[j + start];
// }
// }
// }
//#endif
//
// return v;
//}
static
int32_t
handleInt32Col
(
SColumnInfoData
*
pCol
,
int32_t
start
,
int32_t
numOfRows
,
SqlFunctionCtx
*
pCtx
,
static
int32_t
handleInt32Col
(
SColumnInfoData
*
pCol
,
int32_t
start
,
int32_t
numOfRows
,
SqlFunctionCtx
*
pCtx
,
SMinmaxResInfo
*
pBuf
,
bool
isMinFunc
)
{
SMinmaxResInfo
*
pBuf
,
bool
isMinFunc
)
{
int32_t
*
pData
=
(
int32_t
*
)
pCol
->
pData
;
int32_t
*
pData
=
(
int32_t
*
)
pCol
->
pData
;
...
@@ -170,42 +340,43 @@ static int32_t handleInt32Col(SColumnInfoData* pCol, int32_t start, int32_t numO
...
@@ -170,42 +340,43 @@ static int32_t handleInt32Col(SColumnInfoData* pCol, int32_t start, int32_t numO
int32_t
numOfElems
=
0
;
int32_t
numOfElems
=
0
;
if
(
pCol
->
hasNull
||
numOfRows
<=
8
||
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCol
->
hasNull
||
numOfRows
<=
8
||
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
isMinFunc
)
{
// min
int32_t
i
=
start
;
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
while
(
i
<
(
start
+
numOfRows
))
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
if
(
!
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
break
;
}
i
+=
1
;
}
}
if
(
!
pBuf
->
assign
)
{
if
((
i
<
(
start
+
numOfRows
))
&&
(
!
pBuf
->
assign
)
)
{
*
val
=
pData
[
i
];
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
}
}
pBuf
->
assign
=
true
;
pBuf
->
assign
=
true
;
}
else
{
numOfElems
+=
1
;
}
if
(
isMinFunc
)
{
// min
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
}
if
(
*
val
>
pData
[
i
])
{
if
(
*
val
>
pData
[
i
])
{
*
val
=
pData
[
i
];
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
}
}
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
else
{
// max function
}
else
{
// max function
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
continue
;
}
}
if
(
!
pBuf
->
assign
)
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
}
pBuf
->
assign
=
true
;
}
else
{
// ignore the equivalent data value
// ignore the equivalent data value
// NOTE: An faster version to avoid one additional comparison with FPU.
// NOTE: An faster version to avoid one additional comparison with FPU.
if
(
*
val
<
pData
[
i
])
{
if
(
*
val
<
pData
[
i
])
{
...
@@ -214,10 +385,9 @@ static int32_t handleInt32Col(SColumnInfoData* pCol, int32_t start, int32_t numO
...
@@ -214,10 +385,9 @@ static int32_t handleInt32Col(SColumnInfoData* pCol, int32_t start, int32_t numO
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
}
}
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
}
}
else
{
// not has null value
}
else
{
// not has null value
// AVX2 version to speedup the loop
// AVX2 version to speedup the loop
...
@@ -257,42 +427,129 @@ static int32_t handleFloatCol(SColumnInfoData* pCol, int32_t start, int32_t numO
...
@@ -257,42 +427,129 @@ static int32_t handleFloatCol(SColumnInfoData* pCol, int32_t start, int32_t numO
int32_t
numOfElems
=
0
;
int32_t
numOfElems
=
0
;
if
(
pCol
->
hasNull
||
numOfRows
<
8
||
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCol
->
hasNull
||
numOfRows
<
8
||
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
isMinFunc
)
{
// min
int32_t
i
=
start
;
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
while
(
i
<
(
start
+
numOfRows
))
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
if
(
!
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
break
;
}
i
+=
1
;
}
}
if
(
!
pBuf
->
assign
)
{
if
((
i
<
(
start
+
numOfRows
))
&&
(
!
pBuf
->
assign
)
)
{
*
val
=
pData
[
i
];
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
}
}
pBuf
->
assign
=
true
;
pBuf
->
assign
=
true
;
}
else
{
numOfElems
+=
1
;
}
if
(
isMinFunc
)
{
// min
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
}
if
(
*
val
>
pData
[
i
])
{
if
(
*
val
>
pData
[
i
])
{
*
val
=
pData
[
i
];
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
}
}
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
else
{
// max function
}
else
{
// max function
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
continue
;
}
}
// ignore the equivalent data value
// NOTE: An faster version to avoid one additional comparison with FPU.
if
(
*
val
<
pData
[
i
])
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
numOfElems
+=
1
;
}
}
}
else
{
// not has null value
// AVX version to speedup the loop
if
(
tsAVXEnable
&&
tsSIMDEnable
)
{
*
val
=
(
double
)
floatVectorCmpAVX
(
pData
,
numOfRows
,
isMinFunc
);
}
else
{
if
(
!
pBuf
->
assign
)
{
if
(
!
pBuf
->
assign
)
{
*
val
=
pData
[
0
];
pBuf
->
assign
=
true
;
}
if
(
isMinFunc
)
{
// min
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
*
val
>
pData
[
i
])
{
*
val
=
pData
[
i
];
}
}
}
else
{
// max
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
*
val
<
pData
[
i
])
{
*
val
=
pData
[
i
];
}
}
}
}
numOfElems
=
numOfRows
;
}
return
numOfElems
;
}
static
int32_t
handleInt8Col
(
SColumnInfoData
*
pCol
,
int32_t
start
,
int32_t
numOfRows
,
SqlFunctionCtx
*
pCtx
,
SMinmaxResInfo
*
pBuf
,
bool
isMinFunc
)
{
int8_t
*
pData
=
(
int8_t
*
)
pCol
->
pData
;
int8_t
*
val
=
(
int8_t
*
)
&
pBuf
->
v
;
int32_t
numOfElems
=
0
;
if
(
pCol
->
hasNull
||
numOfRows
<=
8
||
pCtx
->
subsidiaries
.
num
>
0
)
{
int32_t
i
=
start
;
while
(
i
<
(
start
+
numOfRows
))
{
if
(
!
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
break
;
}
i
+=
1
;
}
if
((
i
<
(
start
+
numOfRows
))
&&
(
!
pBuf
->
assign
))
{
*
val
=
pData
[
i
];
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
}
}
pBuf
->
assign
=
true
;
pBuf
->
assign
=
true
;
}
else
{
numOfElems
+=
1
;
}
if
(
isMinFunc
)
{
// min
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
}
if
(
*
val
>
pData
[
i
])
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
numOfElems
+=
1
;
}
}
else
{
// max function
for
(;
i
<
start
+
numOfRows
;
++
i
)
{
if
(
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
}
// ignore the equivalent data value
// ignore the equivalent data value
// NOTE: An faster version to avoid one additional comparison with FPU.
// NOTE: An faster version to avoid one additional comparison with FPU.
if
(
*
val
<
pData
[
i
])
{
if
(
*
val
<
pData
[
i
])
{
...
@@ -301,15 +558,14 @@ static int32_t handleFloatCol(SColumnInfoData* pCol, int32_t start, int32_t numO
...
@@ -301,15 +558,14 @@ static int32_t handleFloatCol(SColumnInfoData* pCol, int32_t start, int32_t numO
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
}
}
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
}
}
else
{
// not has null value
}
else
{
// not has null value
// AVX version to speedup the loop
// AVX
2
version to speedup the loop
if
(
tsAVXEnable
&&
tsSIMDEnable
)
{
if
(
tsAVX
2
Enable
&&
tsSIMDEnable
)
{
*
val
=
(
double
)
floatVectorCmpAVX
(
pData
,
numOfRows
,
isMinFunc
);
*
val
=
i8VectorCmpAVX2
(
pData
,
numOfRows
,
isMinFunc
);
}
else
{
}
else
{
if
(
!
pBuf
->
assign
)
{
if
(
!
pBuf
->
assign
)
{
*
val
=
pData
[
0
];
*
val
=
pData
[
0
];
...
@@ -463,42 +719,7 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
...
@@ -463,42 +719,7 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
if
(
IS_SIGNED_NUMERIC_TYPE
(
type
)
||
type
==
TSDB_DATA_TYPE_BOOL
)
{
if
(
IS_SIGNED_NUMERIC_TYPE
(
type
)
||
type
==
TSDB_DATA_TYPE_BOOL
)
{
if
(
type
==
TSDB_DATA_TYPE_TINYINT
||
type
==
TSDB_DATA_TYPE_BOOL
)
{
if
(
type
==
TSDB_DATA_TYPE_TINYINT
||
type
==
TSDB_DATA_TYPE_BOOL
)
{
int8_t
*
pData
=
(
int8_t
*
)
pCol
->
pData
;
numOfElems
=
handleInt8Col
(
pCol
,
start
,
numOfRows
,
pCtx
,
pBuf
,
isMinFunc
);
int8_t
*
val
=
(
int8_t
*
)
&
pBuf
->
v
;
for
(
int32_t
i
=
start
;
i
<
start
+
numOfRows
;
++
i
)
{
if
((
pCol
->
hasNull
)
&&
colDataIsNull_f
(
pCol
->
nullbitmap
,
i
))
{
continue
;
}
if
(
!
pBuf
->
assign
)
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
pBuf
->
tuplePos
=
saveTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
NULL
);
}
pBuf
->
assign
=
true
;
}
else
{
// ignore the equivalent data value
// NOTE: An faster version to avoid one additional comparison with FPU.
if
(
isMinFunc
)
{
// min
if
(
*
val
>
pData
[
i
])
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
else
{
// max
if
(
*
val
<
pData
[
i
])
{
*
val
=
pData
[
i
];
if
(
pCtx
->
subsidiaries
.
num
>
0
)
{
updateTupleData
(
pCtx
,
i
,
pCtx
->
pSrcBlock
,
&
pBuf
->
tuplePos
);
}
}
}
}
numOfElems
+=
1
;
}
}
else
if
(
type
==
TSDB_DATA_TYPE_SMALLINT
)
{
}
else
if
(
type
==
TSDB_DATA_TYPE_SMALLINT
)
{
int16_t
*
pData
=
(
int16_t
*
)
pCol
->
pData
;
int16_t
*
pData
=
(
int16_t
*
)
pCol
->
pData
;
int16_t
*
val
=
(
int16_t
*
)
&
pBuf
->
v
;
int16_t
*
val
=
(
int16_t
*
)
&
pBuf
->
v
;
...
@@ -537,9 +758,6 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
...
@@ -537,9 +758,6 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
else
if
(
type
==
TSDB_DATA_TYPE_INT
)
{
}
else
if
(
type
==
TSDB_DATA_TYPE_INT
)
{
int32_t
*
pData
=
(
int32_t
*
)
pCol
->
pData
;
int32_t
*
val
=
(
int32_t
*
)
&
pBuf
->
v
;
numOfElems
=
handleInt32Col
(
pCol
,
start
,
numOfRows
,
pCtx
,
pBuf
,
isMinFunc
);
numOfElems
=
handleInt32Col
(
pCol
,
start
,
numOfRows
,
pCtx
,
pBuf
,
isMinFunc
);
#if 0
#if 0
for (int32_t i = start; i < start + numOfRows; ++i) {
for (int32_t i = start; i < start + numOfRows; ++i) {
...
@@ -803,9 +1021,6 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
...
@@ -803,9 +1021,6 @@ int32_t doMinMaxHelper(SqlFunctionCtx* pCtx, int32_t isMinFunc) {
numOfElems
+=
1
;
numOfElems
+=
1
;
}
}
}
else
if
(
type
==
TSDB_DATA_TYPE_FLOAT
)
{
}
else
if
(
type
==
TSDB_DATA_TYPE_FLOAT
)
{
float
*
pData
=
(
float
*
)
pCol
->
pData
;
float
*
val
=
(
float
*
)
&
pBuf
->
v
;
numOfElems
=
handleFloatCol
(
pCol
,
start
,
numOfRows
,
pCtx
,
pBuf
,
isMinFunc
);
numOfElems
=
handleFloatCol
(
pCol
,
start
,
numOfRows
,
pCtx
,
pBuf
,
isMinFunc
);
#if 0
#if 0
for (int32_t i = start; i < start + numOfRows; ++i) {
for (int32_t i = start; i < start + numOfRows; ++i) {
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录