我有一张下表 -
+------------------------------------------+
¦ date ¦ earn_points ¦ redeem_points ¦
¦------------+-------------+---------------¦
¦ 2015-05-05 ¦ 50 ¦ 30 ¦
¦------------+-------------+---------------¦
¦ 2015-05-05 ¦ 60 ¦ 30 ¦
¦------------+-------------+---------------¦
¦ 2015-05-04 ¦ 70 ¦ 50 ¦
¦------------+-------------+---------------¦
¦ 2015-05-04 ¦ 80 ¦ 40 ¦
¦------------+-------------+---------------¦
¦ 2015-05-03 ¦ 30 ¦ 20 ¦
+------------------------------------------+
我正在寻找以下结果 -
+-------------------------------------------------------------------------------------------------------------+
¦ date ¦ total_earn_points ¦ total_redeem_points ¦ total_liability_points ¦ Cumulative_liability_points ¦
¦------------+-------------------+---------------------+------------------------+-----------------------------¦
¦ 2015-05-05 ¦ 110 ¦ 60 ¦ 50 ¦ 120 ¦
¦------------+-------------------+---------------------+------------------------+-----------------------------¦
¦ 2015-05-04 ¦ 150 ¦ 90 ¦ 60 ¦ 70 ¦
¦------------+-------------------+---------------------+------------------------+-----------------------------¦
¦ 2015-05-03 ¦ 30 ¦ 20 ¦ 10 ¦ 10 ¦
+-------------------------------------------------------------------------------------------------------------+
我正在尝试此SQL查询，但无法获得正确的累计总数：
SELECT `transaction_date`,
IFNULL(SUM(rewards_point_rewarded),0) AS `total_earn_points`,
IFNULL(SUM(rewards_point_redemed),0) AS `total_redeem_points`,
(SUM(rewards_point_rewarded) - SUM(rewards_point_redemed)) AS `total_liability_points`,
@total := @total + (SUM(rewards_point_rewarded) - SUM(rewards_point_redemed)) AS `Cumulative_liability_points`
FROM `i_report_total_order`, (SELECT @total:=0) AS t
WHERE (website_id = '36')
GROUP BY `transaction_date`
ORDER BY `transaction_date` DESC
请帮助达到预期效果。
答案 0 :(得分：0)
忽略亚历山大的评论，你显然已经走了，结构稳固，人们总是可以选择不回答。
这实际上是雷区中使用@变量的@变量累积的雷区。
我首先采用获取非累积量的方法，然后使用@变量找到解决方案：
input = MeanShift.clone();
input.convertTo(input, CV_32F);
for(int i = 0; i < Pyramid_Size; i++){DS_Pyramid[i] = input.clone();}
for (int i = 0; i < Pyramid_Size; i++){
for (int k = 0; k <= i; k++){ // Why don't I just downsamplex3 a copy of MeanShift.clone then upsamplex3 that same one? ...
pyrDown (DS_Pyramid[i], DS_Pyramid[i], Size(DS_Pyramid[i].cols/2, DS_Pyramid[i].rows/2));
US_Pyramid[i] = DS_Pyramid[i].clone();
}
for (int j = 0; j <= i; j++){
pyrUp (US_Pyramid[i], US_Pyramid[i], Size(US_Pyramid[i].cols*2, US_Pyramid[i].rows*2));
}
}
top = US_Pyramid[Pyramid_Size - 1].clone(); // most down sampled layer, up sampled.
split(top, top_chs);
split(input.clone(), meanShift_chs); // split into channels result
split(input.clone(), sal_chs); // holder to use for compare
float top_min = 1.0;
float ms_min = 1.0;
for (int i = 0; i < top.rows; i++){ // find the smallest value in both top and meanShift
for (int k = 0; k < top.cols; k++){ // this is so you can sub out the 0 with the min value
for (int j = 0; j < top.channels(); j++){ // later on
float a = top_chs[j].at<float>(i,k);
float b = meanShift_chs[j].at<float>(i,k);
if (a < top_min && a >= 0) {top_min = a;} // make sure you don't have a top_min of zero... that'd be bad.
if (b < ms_min && b >= 0) { ms_min = b;}
}
}
}
for (int i = 0; i < top.rows; i++){
for (int k = 0; k < top.cols; k++){
for (int j = 0; j < top.channels(); j++){
float a,b,c;
a = top_chs[j].at<float>(i,k);
b = meanShift_chs[j].at<float>(i,k);
if (a <= 0){a = top_min;} // make sure you don't divide by zero
if (b <= 0){b = ms_min;} // make sure you really don't divide by zero
if (a <= b){c = 1.0 - a/b;}
else {c = 1.0 - b/a;}
// c = sqrt(c); // makes stuff more salient, but makes noise pop out too
sal_chs[j].at<float>(i,k) = c;
}
}
}
merge(sal_chs, Saliency); // combine into saliency map
imshow("saliency", Saliency);
然后：
MeanShift = inputImage.clone();
Imgproc.pyrMeanShiftFiltering(MeanShift, MeanShift, MeanShift_spatialRad, MeanShift_colorRad);
Imgproc.cvtColor(MeanShift, MeanShift, Imgproc.COLOR_BGR2GRAY);
MeanShift.convertTo(MeanShift, CvType.CV_32F); // 32F between 0 - 1. ************** IMPORTANT LINE
for (int i = 0; i < PyrSize; i++){
DS_Pyramid.add(new Mat());
UP_Pyramid.add(new Mat());
}
for (int i = 0; i < PyrSize; i++){
DS_Pyramid.set(i, MeanShift);
}
for (int i = 0; i < PyrSize; i++){
for(int k = 0; k <= i; k++){ // At 0 is downsampled once, second twice, third 3 times.
Imgproc.pyrDown(DS_Pyramid.get(i), DS_Pyramid.get(i)); // pyrDown by default img.width / 2 img height / 2
Mat a = new Mat(); // save the sampled down at i
a = DS_Pyramid.get(i);
UP_Pyramid.add(a);
}
for (int j = 0; j <= i; j++){
Imgproc.pyrUp(UP_Pyramid.get(i),UP_Pyramid.get(i));
}
}
top = UP_Pyramid.get(PyrSize-1);
bot = MeanShift.clone();
Saliency = MeanShift.clone();
//http://answers.opencv.org/question/5/how-to-get-and-modify-the-pixel-of-mat-in-java/
//http://www.tutorialspoint.com/java_dip/applying_weighted_average_filter.htm
for (int i = 0; i < top.rows(); i++){
for (int j = 0; j < top.cols(); j++){
int index = i * top.rows() + j;
float[] top_temp = top.get(i, j);
float[] bot_temp = bot.get(i,j);
float[] sal_temp = bot.get(i,j);
if (top_temp[0] <= bot_temp[k]){sal_temp[0] = 1.0f - (top_temp[0]/bot_temp[0]);}
else {sal_temp[0] = 1.0f - (bot_temp[0]/top_temp[0]);}
Saliency.put(i,j, sal_temp);
}
}
AbstractImageProvider.deepCopy(AbstractImageProvider.matToBufferedImage(Saliency),disp);
不幸的是，您必须再次换行以获取您指定的日期顺序..但您可以通过将列设置为 SELECT date,
SUM(earn_points) AS tot_earn_pts,
SUM(redeem_points) AS tot_redeem_pts
FROM i_report_total_order
/* WHERE website_id = 36 */
GROUP BY date
ORDER BY date DESC
来避免 SELECT date,
tot_earn_pts,
tot_redeem_pts,
tot_earn_pts - tot_redeem_pts AS tot_liability_pts,
@cum := @cum + tot_earn_pts - tot_redeem_pts AS cum_liability_pts
FROM (
SELECT date,
SUM(earn_points) AS tot_earn_pts,
SUM(redeem_points) AS tot_redeem_pts
FROM i_report_total_order
/* WHERE website_id = 36 */
GROUP BY date
) tots
JOIN (SELECT @cum := 0) init
ORDER BY date
<强>更新
IFNULLS更新了SQLFiddle
答案 1 :(得分：0)
根据您的帮助，这是我的案例中的查询
SELECT `transaction_date`,
`total_earn_points`,
`total_redeem_points`,
`total_liability_points`,
@total := @total + `total_liability_points` AS `Cumulative_liability_points`
FROM (
SELECT `transaction_date`,
SUM(rewards_point_rewarded) AS `total_earn_points`,
SUM(rewards_point_redemed) AS `total_redeem_points`,
(SUM(rewards_point_rewarded) - SUM(rewards_point_redemed)) AS `total_liability_points`
FROM `i_report_total_order`
WHERE (website_id = '36')
GROUP BY `transaction_date`
ORDER BY `transaction_date` ASC
) tots
join (SELECT @total:=0) AS init
ORDER BY `transaction_date` ASC
只有在最后一行设置ASC时才有效。有没有办法在最上面显示最新日期。