how to change mysql query to mongodb query - mongodb

Question

I am trying to change that mysql query to mongodb format. I can't find an answer on how to do it. Please suggest a solution.
I've tried several ways, but it doesn't work, please help
I know I have to use a aggregate query, but it's difficult because I have a lot of subqueries. How should I configure the stage?
SELECT #rowcnt := COUNT(*) AS cnt
, SUM(keywordcount) AS total_k_count
, SUM(exposecount) AS total_exp, SUM(clickcount) AS total_cc
, IF( SUM(exposecount) = 0, 0, ROUND((SUM(clickcount) / SUM(exposecount))* 100, 2) ) AS total_cr
, IF( SUM(clickcount) = 0, 0, ROUND(SUM(cost) / SUM(clickcount)) ) AS total_ccost
, ROUND(SUM(cost)) AS total_cost
, SUM(COUNT) AS total_count, SUM(directcount) AS total_d_count, SUM(indirectcount) AS total_ind_count
, IF( SUM(clickcount) = 0, 0, ROUND( ( SUM(COUNT) / SUM(clickcount) ) * 100, 2) ) AS total_con_r
, IF( SUM(COUNT) = 0, 0, ROUND((SUM(cost) / SUM(COUNT))) ) AS total_con_expense
, SUM(conversioncost) AS total_con_cost, SUM(conversiondirectcost) AS total_con_d_cost, SUM(conversionindirectcost) AS total_con_ind_cost
, IF( SUM(cost) = 0, 0, ROUND( ( SUM(conversioncost) / SUM(cost) * 100 ) ) ) AS total_roas
FROM (
SELECT a.s_date
, a.master_id, REPLACE( c.media_name, '\'', '\`' ) AS media_name, a.media_code
, b.keywordcount, SUM(a.exposecount) AS exposecount, SUM(a.clickcount) AS clickcount, SUM(a.cost) AS cost
, IF( SUM(a.exposecount) = 0, 0, ROUND((SUM(a.clickcount) / SUM(a.exposecount))* 100, 2) ) AS clickrate
, IF( SUM(a.clickcount)= 0, 0, ROUND( (SUM(a.cost) / SUM(a.clickcount)) , 2) ) AS clickcost
, b.count, b.directcount, b.indirectcount
, IF( SUM(a.clickcount) = 0, 0, ROUND((b.count / SUM(a.clickcount))* 100, 2) ) AS conversionrate
, IF( b.count = 0, 0, ROUND((SUM(a.cost) / b.count)) ) AS conversionexpense
, b.conversioncost, b.conversiondirectcost, b.conversionindirectcost
, IF( SUM(a.cost) = 0, 0, ROUND(( b.conversioncost / SUM(a.cost)) * 100) ) AS roas
FROM TMP_Report AS a
LEFT OUTER JOIN (
SELECT nrc.media_code, COUNT(*) AS keywordcount, nrc.master_id, SUM(nrc.count) AS COUNT, SUM(nrc.directcount) AS directcount, SUM(nrc.indirectcount) AS indirectcount
, SUM(nrc.conversioncost) AS conversioncost, SUM(nrc.conversiondirectcost) AS conversiondirectcost, SUM(nrc.conversionindirectcost) AS conversionindirectcost
FROM (
SELECT nrc.media_code, nrc.s_date, nrc.master_id, nrc.keyword_id, SUM(nrc.count) AS COUNT, SUM(nrc.directcount) AS directcount, SUM(nrc.indirectcount) AS indirectcount
, SUM(nrc.cost) AS conversioncost, SUM(nrc.directcost) AS conversiondirectcost, SUM(nrc.indirectcost) AS conversionindirectcost
FROM TMP_ReportConv AS nrc
GROUP BY nrc.master_id, nrc.keyword_id, media_code, s_date
) AS nrc
INNER JOIN autoanswer.calendar AS c2 ON nrc.s_date = c2.cal_date
GROUP BY nrc.master_id, nrc.media_code
) AS b ON a.master_id = b.master_id AND a.media_code = b.media_code
LEFT OUTER JOIN naver.mst_media c ON a.media_code = c.media_id
WHERE a.s_date BETWEEN $get_s_date AND $get_e_date
GROUP BY a.master_id, a.media_code
) AS m;

Answer 1

I am not going to do your job, but this could be a starting point:
db.TMP_Report.aggregate([
{
$group: {
_id: {master_id: "$master_id", media_code: "$media_code"},
count: { $count: {} },
clickcount: { $sum: "$clickcount" },
exposecount: { $sum: "$exposecount" }
}
},
{
$set: {
total_cr: { $round: [{ $multiply: [{ $divide: ["$clickcount", {$cond: ["$exposecount", "$exposecount", null]}] }, 100] }, 2] }
}
}
])