I want to display a column which calculates two custom columns.
It look something like this
SELECT to_account as account,
SUM(amount) total_claimed,
COUNT(*) as transaction_count,
((SELECT time FROM transactions WHERE to_account = account ORDER BY time DESC LIMIT 1)
- (SELECT time FROM transactions WHERE to_account = account LIMIT 1)) / 3600 as interval_hours,
(transaction_count / interval_hours) as avg_per_hour
FROM transactions
WHERE type='CLAIM' group by to_account ORDER BY COUNT(*)
I get the message "Unknown column 'thetime' in field list"
How can I work with a custom column?
You should do that using the column itself and not the alias since it's not accessible like
SELECT COUNT(*) as amount,
`time` as thetime,
(`time` / amount) as average
FROM table WHERE..
(OR) get it done in a outer query like
SELECT *, (thetime / amount) as average
FROM (
SELECT COUNT(*) as amount,
(SELECT time FROM table ...) as thetime
FROM table WHERE...)XXX;
Per your edited post, either you use the same expression again (OR) get the custom column in a outer query like
SELECT *, (transaction_count / interval_hours) as avg_per_hour
FROM (
SELECT to_account as account,
SUM(amount) total_claimed,
COUNT(*) as transaction_count,
((SELECT time FROM transactions WHERE to_account = account ORDER BY `time` DESC LIMIT 1)
- (SELECT `time` FROM transactions WHERE to_account = account LIMIT 1)) / 3600 as interval_hours
FROM transactions
WHERE type='CLAIM'
group by to_account
ORDER BY COUNT(*)
) tbl
It can be done using user defined variable,
SET #transaction_count := 0;
SET #interval_hours := 0;
SELECT to_account AS ACCOUNT,
SUM(amount) total_claimed,
#transaction_count := COUNT(*) AS transaction_count,
#interval_hours := ((SELECT TIME FROM transactions WHERE to_account = ACCOUNT ORDER BY TIME DESC LIMIT 1)
- (SELECT TIME FROM transactions WHERE to_account = ACCOUNT LIMIT 1)) / 3600 AS interval_hours,
(#transaction_count / #interval_hours) AS avg_per_hour
FROM transactions
WHERE TYPE='CLAIM' GROUP BY to_account ORDER BY COUNT(*)
Related
I try to order my rows by user's total point.
SUM and ORDER BY working correctly. But also i want to add sequence numbers of rows.
When I try to use #row_number I get some numbers but sequence is incorrect.
correct num column order should be 1,2,3,4 because I use order by total_point of sum of user's points.
How can I get correct sequence for num column?
SELECT
users.user_id,
users.user_hash,
(#row_number:=#row_number + 1) AS num,
sum(total_point) as total_point
FROM (SELECT #row_number:=0) AS t,user_stats
LEFT JOIN users on users.user_id = user_stats.stats_user_id
WHERE create_date BETWEEN "2020-04-01 00:00:00" AND "2020-04-30 23:59:59"
GROUP BY stats_user_id
ORDER BY total_point DESC
v: mysql 5.7
You must use the with total sorted rows and give them a number
SELECT
user_id,
user_hash,
users.user_nick,
(#row_number:=#row_number + 1) AS num,
total_point
FROM
(SELECT
users.user_id,
users.user_hash,
users.user_nick,
SUM(total_point) AS total_point
FROM
user_stats
LEFT JOIN users ON users.user_id = user_stats.stats_user_id
WHERE
create_date BETWEEN '2020-04-01 00:00:00' AND '2020-04-30 23:59:59'
GROUP BY stats_user_id
ORDER BY total_point DESC) t1,
(SELECT #row_number:=0) AS t
ORDER BY num ASC;
I have the following query:
SELECT
(Date + INTERVAL -(WEEKDAY(Date)) DAY) `Date`,
I would like to use a subquery here to get the oldest and newest inventory from the max and min Date:
(select sellable from clabDevelopment.fba_history_daily where Date =
max(Date))
max(Date), min(Date),
ASIN,
ItemSKU,
it.avgInv,
kt.Account, kt.Country, SUM(Sessions) `Sessions`, avg(Session_Pct)`Session_Pct`,
sum(Page_Views)`Page_Views`, avg(Page_Views_Pct)`Page_Views_Pct`, avg(Buy_Box_Pct)`Buy_Box_Pct`,
sum(Units_Ordered)`Units_Ordered`, sum(Units_Ordered_B2B) `Units_Ordered_B2B`,
avg(Unit_Session_Pct)`Unit_Session_Pct`, avg(Unit_Session_Pct_B2B)`Unit_Session_Pct_B2B`,
sum(Ordered_Product_Sales)`Ordered_Product_Sales`, sum(Total_Order_Items) `Total_Order_Items`, sum(Actual_Sales) `Actual_Sales`,
sum(Orders) `Orders`, sum(PPC_Revenue) `PPC_Revenue`, sum(PPC_Orders) `PPC_Orders`,
sum(Revenue)`Revenue`, sum(Sales_Tax_Collected) `Sales_Tax_Collected`, sum(Total_Ad_Spend) `Total_Ad_Spend`, sum(Impressions) `Impressions`,
sum(Profit_after_Fees_before_Costs) `Profit_after_Fees_before_Cost`
FROM clabDevelopment.KPI_kpireport as kt
left outer join
(SELECT Month(Date) as mnth, sku, account, country, avg(sellable)`avgInv` FROM clabDevelopment.`fba_history_daily`
where sellable >= 0
group by Month(Date), sku, account, country) as it
on kt.ItemSKU = it.SKU
and kt.Account = it.account
and kt.Country = it.country
and it.mnth = Month(kt.Date)
WHERE kt.Country = 'USA' or kt.Country = 'CAN'
GROUP BY Account, Country,(Date + INTERVAL -(WEEKDAY(Date)) DAY), ItemSKU
ORDER BY Date desc
The sub-query would be from the same table I am joining on the bottom except I group by month there. So I want to run this subquery and grab the value under sellable for the date of max(Date):
(select sellable from clabDevelopment.`fba_history_daily where Date = max(Date))
When I do it this way I get invalid use of group function.
Without known your schema and the engine/db it is difficult to understand the problem. But, here is a best guess with the following schema:
fba_history_daily
- mnth
- sku
- account
- country
- sellable
- SKU
KPI_kpireport
- Account
- Country
- ItemSKU
- Account
- Date
- Country
- ASIN
The following query would give you what you're looking for. This uses a GROUP_CONCAT in order to build the required results through aggregation. With the nested query join MySQL might be building a temporary table within memory to sort through those records which would not be optimal. You can check this using EXPLAIN and you would see Using temporary in the details.
SELECT
(Date + INTERVAL -(WEEKDAY(Date)) DAY) `Date`,
ASIN,
ItemSKU,
-- MIN
(SUBSTRING_INDEX(GROUP_CONCAT(it.sellable ORDER BY it.Date ASC),',', 1) AS minSellable),
-- MAX
(SUBSTRING_INDEX(GROUP_CONCAT(it.sellable ORDER BY it.Date DESC),',', 1) AS maxSellable),
-- AVG
AVG(it.sellable) avgInv,
kt.Account, kt.Country, SUM(Sessions) `Sessions`, avg(Session_Pct)`Session_Pct`,
sum(Page_Views)`Page_Views`, avg(Page_Views_Pct)`Page_Views_Pct`, avg(Buy_Box_Pct)`Buy_Box_Pct`,
sum(Units_Ordered)`Units_Ordered`, sum(Units_Ordered_B2B) `Units_Ordered_B2B`,
avg(Unit_Session_Pct)`Unit_Session_Pct`, avg(Unit_Session_Pct_B2B)`Unit_Session_Pct_B2B`,
sum(Ordered_Product_Sales)`Ordered_Product_Sales`, sum(Total_Order_Items) `Total_Order_Items`, sum(Actual_Sales) `Actual_Sales`,
sum(Orders) `Orders`, sum(PPC_Revenue) `PPC_Revenue`, sum(PPC_Orders) `PPC_Orders`,
sum(Revenue)`Revenue`, sum(Sales_Tax_Collected) `Sales_Tax_Collected`, sum(Total_Ad_Spend) `Total_Ad_Spend`, sum(Impressions) `Impressions`,
sum(Profit_after_Fees_before_Costs) `Profit_after_Fees_before_Cost`
FROM KPI_kpireport as kt
left outer join fba_history_daily it on
kt.ItemSKU = it.SKU
and kt.Account = it.account
and kt.Country = it.country
and Month(it.Date) = Month(kt.Date)
and it.sellable >= 0
WHERE kt.Country = 'USA' or kt.Country = 'CAN'
GROUP BY Account, Country,(Date + INTERVAL -(WEEKDAY(Date)) DAY), ItemSKU
ORDER BY Date desc
I have a mysql table, transactions, with fields id, transactionType, quantity, price etc. I want to limit records by the cumulative sum of one column. So I want to pull out all the transactions until the cumulative quantity reaches my variable (here <=50).
What am I doing wrong?
SET #qsum := 0;
SELECT *
FROM (
SELECT *, (#qsum := #qsum + quantity) AS cumulative_quantity
FROM transactions ORDER BY id DESC
) transactions
WHERE
transactionType = 'buy'
AND typeID = 10
AND cumulative_quantity <= 50
Try this way
SET #qsum := 0;
SELECT *
FROM (
SELECT *, (#qsum := #qsum + quantity) AS cumulative_quantity
FROM transactions
WHERE transactionType = 'buy'
AND typeID = 10
AND cumulative_quantity <= 50
ORDER BY id DESC
) transaction
I want to select last information about client's balance from MySQL's database. I wrote next script:
SELECT *
FROM
(SELECT
contract_balance.cid,
/*contract_balance.yy,
contract_balance.mm,*/
contract_balance.expenses,
contract_balance.revenues,
contract_balance.expenses + contract_balance.revenues AS total,
(CAST(CAST(CONCAT(contract_balance.yy,'-',contract_balance.mm,'-01')AS CHAR) AS DATE)) AS dt
FROM contract_balance
/*WHERE
CAST(CAST(CONCAT(contract_balance.yy,'-',contract_balance.mm,'-01')AS CHAR) AS DATE) < '2013-11-01'
LIMIT 100*/
) AS tmp
WHERE tmp.dt = (
SELECT MAX(b.dt)
FROM tmp AS b
WHERE tmp.cid = b.cid
)
But server return:
Table 'clientsdatabase.tmp' doesn't exist
How to change this code for get required data?
Try this one in your subquery you are trying to get the MAX of (CAST(CAST(CONCAT(contract_balance.yy,'-',contract_balance.mm,'-01')AS CHAR) AS DATE)) AS dt but in subquery your aliased table tmp doesn't exist so the simplest way you can do is to calculate the MAX of dt and use GROUP BY contract_balance.cid contractor id ,i guess it will fullfill your needs
SELECT
contract_balance.cid,
contract_balance.expenses,
contract_balance.revenues,
contract_balance.expenses + contract_balance.revenues AS total,
MAX((CAST(CAST(CONCAT(contract_balance.yy,'-',contract_balance.mm,'-01')AS CHAR) AS DATE))) AS dt
FROM contract_balance
GROUP BY contract_balance.cid
Try this:
SELECT *
FROM (SELECT cb.cid, cb.expenses, cb.revenues, cb.expenses + cb.revenues AS total,
(CAST(CAST(CONCAT(cb.yy,'-',cb.mm,'-01')AS CHAR) AS DATE)) AS dt
FROM contract_balance cb ORDER BY dt DESC
) AS A
GROUP BY A.cid
I have a MySQL table with the structure:
beverages_log(id, users_id, beverages_id, timestamp)
I'm trying to compute the maximum streak of consecutive days during which a user (with id 1) logs a beverage (with id 1) at least 5 times each day. I'm pretty sure that this can be done using views as follows:
CREATE or REPLACE VIEW daycounts AS
SELECT count(*) AS n, DATE(timestamp) AS d FROM beverages_log
WHERE users_id = '1' AND beverages_id = 1 GROUP BY d;
CREATE or REPLACE VIEW t AS SELECT * FROM daycounts WHERE n >= 5;
SELECT MAX(streak) AS current FROM ( SELECT DATEDIFF(MIN(c.d), a.d)+1 AS streak
FROM t AS a LEFT JOIN t AS b ON a.d = ADDDATE(b.d,1)
LEFT JOIN t AS c ON a.d <= c.d
LEFT JOIN t AS d ON c.d = ADDDATE(d.d,-1)
WHERE b.d IS NULL AND c.d IS NOT NULL AND d.d IS NULL GROUP BY a.d) allstreaks;
However, repeatedly creating views for different users every time I run this check seems pretty inefficient. Is there a way in MySQL to perform this computation in a single query, without creating views or repeatedly calling the same subqueries a bunch of times?
This solution seems to perform quite well as long as there is a composite index on users_id and beverages_id -
SELECT *
FROM (
SELECT t.*, IF(#prev + INTERVAL 1 DAY = t.d, #c := #c + 1, #c := 1) AS streak, #prev := t.d
FROM (
SELECT DATE(timestamp) AS d, COUNT(*) AS n
FROM beverages_log
WHERE users_id = 1
AND beverages_id = 1
GROUP BY DATE(timestamp)
HAVING COUNT(*) >= 5
) AS t
INNER JOIN (SELECT #prev := NULL, #c := 1) AS vars
) AS t
ORDER BY streak DESC LIMIT 1;
Why not include user_id in they daycounts view and group by user_id and date.
Also include user_id in view t.
Then when you are queering against t add the user_id to the where clause.
Then you don't have to recreate your views for every single user you just need to remember to include in your where clause.
That's a little tricky. I'd start with a view to summarize events by day:
CREATE VIEW BView AS
SELECT UserID, BevID, CAST(EventDateTime AS DATE) AS EventDate, COUNT(*) AS NumEvents
FROM beverages_log
GROUP BY UserID, BevID, CAST(EventDateTime AS DATE)
I'd then use a Dates table (just a table with one row per day; very handy to have) to examine all possible date ranges and throw out any with a gap. This will probably be slow as hell, but it's a start:
SELECT
UserID, BevID, MAX(StreakLength) AS StreakLength
FROM
(
SELECT
B1.UserID, B1.BevID, B1.EventDate AS StreakStart, DATEDIFF(DD, StartDate.Date, EndDate.Date) AS StreakLength
FROM
BView AS B1
INNER JOIN Dates AS StartDate ON B1.EventDate = StartDate.Date
INNER JOIN Dates AS EndDate ON EndDate.Date > StartDate.Date
WHERE
B1.NumEvents >= 5
-- Exclude this potential streak if there's a day with no activity
AND NOT EXISTS (SELECT * FROM Dates AS MissedDay WHERE MissedDay.Date > StartDate.Date AND MissedDay.Date <= EndDate.Date AND NOT EXISTS (SELECT * FROM BView AS B2 WHERE B1.UserID = B2.UserID AND B1.BevID = B2.BevID AND MissedDay.Date = B2.EventDate))
-- Exclude this potential streak if there's a day with less than five events
AND NOT EXISTS (SELECT * FROM BView AS B2 WHERE B1.UserID = B2.UserID AND B1.BevID = B2.BevID AND B2.EventDate > StartDate.Date AND B2.EventDate <= EndDate.Date AND B2.NumEvents < 5)
) AS X
GROUP BY
UserID, BevID