未验证 提交 e3119887 编写于 作者: S Shengliang Guan 提交者: GitHub

Merge pull request #18574 from taosdata/fix/TD-20803

fix(query): fix avg calculation error after SIMD optimize 
......@@ -133,6 +133,14 @@ static void i8VectorSumAVX2(const int8_t* plist, int32_t numOfRows, int32_t type
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
// let sum up the final results
const int64_t* q = (const int64_t*)∑
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + rounds * width];
}
} else {
const uint8_t* p = (const uint8_t*)plist;
......@@ -142,16 +150,16 @@ static void i8VectorSumAVX2(const int8_t* plist, int32_t numOfRows, int32_t type
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
}
// let sum up the final results
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
const uint64_t* q = (const uint64_t*)&sum;
pRes->sum.usum += q[0] + q[1] + q[2] + q[3];
int32_t startIndex = rounds * width;
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + startIndex];
pRes->sum.usum += (uint8_t)plist[j + rounds * width];
}
}
#endif
}
......@@ -176,8 +184,16 @@ static void i16VectorSumAVX2(const int16_t* plist, int32_t numOfRows, int32_t ty
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
// let sum up the final results
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + rounds * width];
}
} else {
const uint8_t* p = (const uint8_t*)plist;
const uint16_t* p = (const uint16_t*)plist;
for(int32_t i = 0; i < rounds; ++i) {
__m128i val = _mm_lddqu_si128((__m128i*)p);
......@@ -185,16 +201,16 @@ static void i16VectorSumAVX2(const int16_t* plist, int32_t numOfRows, int32_t ty
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
}
// let sum up the final results
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
const uint64_t* q = (const uint64_t*)&sum;
pRes->sum.usum += q[0] + q[1] + q[2] + q[3];
int32_t startIndex = rounds * width;
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + startIndex];
pRes->sum.usum += (uint16_t)plist[j + rounds * width];
}
}
#endif
}
......@@ -219,6 +235,14 @@ static void i32VectorSumAVX2(const int32_t* plist, int32_t numOfRows, int32_t ty
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
// let sum up the final results
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + rounds * width];
}
} else {
const uint32_t* p = (const uint32_t*)plist;
......@@ -228,16 +252,16 @@ static void i32VectorSumAVX2(const int32_t* plist, int32_t numOfRows, int32_t ty
sum = _mm256_add_epi64(sum, extVal);
p += width;
}
}
// let sum up the final results
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
const uint64_t* q = (const uint64_t*)&sum;
pRes->sum.usum += q[0] + q[1] + q[2] + q[3];
int32_t startIndex = rounds * width;
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + startIndex];
pRes->sum.usum += (uint32_t)plist[j + rounds * width];
}
}
#endif
}
......@@ -262,13 +286,22 @@ static void i64VectorSumAVX2(const int64_t* plist, int32_t numOfRows, SAvgRes* p
}
// let sum up the final results
if (type == TSDB_DATA_TYPE_BIGINT) {
const int64_t* q = (const int64_t*)&sum;
pRes->sum.isum += q[0] + q[1] + q[2] + q[3];
int32_t startIndex = rounds * width;
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.isum += plist[j + startIndex];
pRes->sum.isum += plist[j + rounds * width];
}
} else {
const uint64_t* q = (const uint64_t*)&sum;
pRes->sum.usum += q[0] + q[1] + q[2] + q[3];
for (int32_t j = 0; j < remainder; ++j) {
pRes->sum.usum += (uint64_t)plist[j + rounds * width];
}
}
#endif
}
......@@ -502,7 +535,11 @@ int32_t avgFunction(SqlFunctionCtx* pCtx) {
i8VectorSumAVX2(plist, numOfRows, type, pAvgRes);
} else {
for (int32_t i = pInput->startRowIndex; i < pInput->numOfRows + pInput->startRowIndex; ++i) {
pAvgRes->sum.usum += plist[i];
if (type == TSDB_DATA_TYPE_TINYINT) {
pAvgRes->sum.isum += plist[i];
} else {
pAvgRes->sum.usum += (uint8_t)plist[i];
}
}
}
break;
......@@ -517,7 +554,11 @@ int32_t avgFunction(SqlFunctionCtx* pCtx) {
i16VectorSumAVX2(plist, numOfRows, type, pAvgRes);
} else {
for (int32_t i = pInput->startRowIndex; i < pInput->numOfRows + pInput->startRowIndex; ++i) {
if (type == TSDB_DATA_TYPE_SMALLINT) {
pAvgRes->sum.isum += plist[i];
} else {
pAvgRes->sum.usum += (uint16_t)plist[i];
}
}
}
break;
......@@ -532,7 +573,11 @@ int32_t avgFunction(SqlFunctionCtx* pCtx) {
i32VectorSumAVX2(plist, numOfRows, type, pAvgRes);
} else {
for (int32_t i = pInput->startRowIndex; i < pInput->numOfRows + pInput->startRowIndex; ++i) {
if (type == TSDB_DATA_TYPE_INT) {
pAvgRes->sum.isum += plist[i];
} else {
pAvgRes->sum.usum += (uint32_t)plist[i];
}
}
}
break;
......@@ -547,7 +592,11 @@ int32_t avgFunction(SqlFunctionCtx* pCtx) {
i64VectorSumAVX2(plist, numOfRows, pAvgRes);
} else {
for (int32_t i = pInput->startRowIndex; i < pInput->numOfRows + pInput->startRowIndex; ++i) {
if (type == TSDB_DATA_TYPE_BIGINT) {
pAvgRes->sum.isum += plist[i];
} else {
pAvgRes->sum.isum += (uint64_t)plist[i];
}
}
}
break;
......
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