I have an SQL structure like this:
Create Table Transactions (
Id integer primary key not null auto_increment,
ResourceId varchar(255),
Price Integer,
TransactionTime date
);
I would like to get the time (TransactionTime) along with the average of 3 days price. For example, the 3 day average of the 22nd will be the average of the 20th, 21st, and 22nd.
Thanks so much.
Presumably, you want this information on each row and for a given resource. If so:
select t.*,
avg(price) over (partition by resourceid
order by transactiontime
range between interval 2 day preceding and current row
) as avg_3
from transactions t;
For SQL server:
SELECT AVG(Price), MAX(TransactionTime) FROM Transactions GROUP BY FLOOR(DATEDIFF(DAY, GETDATE(), TransactionTime) / 3);
You can use nested select:
select t.TransactionTime,
(select sum(t1.Price) / 3
from Transactions t1 where t1.Data in (t.Data, t.Date-2);) as avg3;
from Transactions t;
Related
I have the following table of orders for users like the following:
CREATE TABLE orders (
order_id UUID,
user_id UUID,
date date,
order_type integer
);
I want to write SQL to do the following:
For every order want to compute the number of orders the user has within a previous week (7 days).
Write the following, but it counts the number of orders for each user but not for two levels of groupby.
SELECT order_id, user_id,
COUNT(order_id) OVER(PARTITION BY user_id ORDER BY date ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) as num_orders_7days
FROM orders
You should use RANGE clause instead of ROWS with the proper date intervals:
SELECT order_id, user_id, date,
COUNT(order_id) OVER (
PARTITION BY user_id
ORDER BY date
RANGE BETWEEN INTERVAL 7 day PRECEDING AND INTERVAL 1 day PRECEDING
) as num_orders_7days
FROM orders;
See the demo.
I have two tables, "Gate_Logs" and "Employee".
The "Gate_Logs" table has three columns.
Employee ID - A 4 Digit Unique Number assigned to every employee
Status – In or Out
Timestamp – A recorded timestamp
The "Employee" Table has
Employee ID
Level
Designation
Joining Date
Reporting Location
Reporting Location ID - Single Digit ID
I want to find out which employee had the highest weekly work time over the past year, and I am trying to get this data for each individual location. I want to look at the cumulative highest. Let's say Employee X at Location L worked 60 hours in a particular week, which was the highest at that location, so X will be the person I wanted to query.
Please provide any pointers on how I can proceed with this, have been stuck at it for a while.
SQL version 8.0.27
It can use window function LAG to pair In/Out records
periods - pair in/out records
sumup_weekly - compute weekly work hours for each employee
rank_weekly - rank employees per location per week
and finally select those rank one
WITH periods AS (
SELECT
`employee_id`,
`status` to_status,
`timestamp` to_timestamp,
LAG(`status`) OVER w AS fr_status,
LAG(`timestamp`) OVER w AS fr_timestamp
FROM gate_log
WINDOW w AS (PARTITION BY `employee_id` ORDER BY `timestamp` ASC)
),
sumup_weekly AS (
SELECT
`employee_id`,
WEEKOFYEAR(fr_timestamp) week,
SUM(TIMESTAMPDIFF(SECOND, fr_timestamp, to_timestamp)) seconds
FROM periods
WHERE fr_status = 'In' AND to_status = 'Out'
GROUP BY `employee_id`, `week`
),
rank_weekly AS (
SELECT
e.`employee_id`,
e.`location_id`,
w.`week`,
SEC_TO_TIME(w.`seconds`) work_hours,
RANK() OVER(PARTITION BY e.`location_id`, w.`week` ORDER BY w.`seconds` DESC) rank_hours
FROM sumup_weekly w
JOIN employee e ON w.`employee_id` = e.`employee_id`
)
SELECT *
FROM rank_weekly
WHERE rank_hours = 1
DEMO
I am trying to query a table. There are 3 important fields: attendant_id, client_id, and date.
Each time an attendant works with a client, they add an entry which includes their id, the client's id, and the date. Occasionally, an attendant will work with more than one client on the same day. I would like to capture when this happens. Here is what I have so far:
SELECT *
FROM timesheet_lines tsl1
WHERE EXISTS
(
SELECT *
FROM timesheet_lines tsl2
WHERE tsl1.date = tsl2.date
AND tsl1.attendant_id = tsl2.attendant_id
AND tsl1.client_id <> tsl2.client_id
AND tsl1.date between '2014-04-01' AND '2014-06-30'
LIMIT 2,5
)
I only want to display results where an attendant worked with at least 2 different clients. I don't expect it to be possible to have more than 5 on a single day. This is why I am using LIMIT 2,5.
I am also only interested in April through June of this year.
I think I may have the right syntax, but the query seems to be taking forever to run. Is there a faster query? There should be only about 42000+ entries all together for this particular date range. I am not expecting to get more than about 500-600 results that meet the criteria.
I ended up using the following:
create TEMPORARY table tempTSL1
(date1 date, start1 time, end1 time, attend1 varchar(50), client1 varchar(50), type1 tinyint);
insert into tempTSL1(date1, start1, end1, attend1, client1, type1)
select date, start_time, end_time, attendant_id, client_id, type
from timesheet_lines
WHERE
timesheet_lines.date BETWEEN '2014-04-01' AND '2014-06-30'
and timesheet_lines.type IN (1,2,5,6);
create TEMPORARY table tempTSL2
(date2 date, start2 time, end2 time, attend2 varchar(50), client2 varchar(50), type2 tinyint);
insert into tempTSL2(date2, start2, end2, attend2, client2, type2)
select date, start_time, end_time, attendant_id, client_id, type
from timesheet_lines
WHERE
timesheet_lines.date BETWEEN '2014-04-01' AND '2014-06-30'
and timesheet_lines.type IN (1,2,5,6);
SELECT *
FROM tempTSL1
WHERE (attend1,date1) IN (
SELECT attend2
,date2
FROM tempTSL2 tsl2
GROUP BY attend2
,date2
HAVING COUNT(date2) > 1
)
GROUP BY attend1
,client1
,date1
HAVING COUNT(client1) = 1
ORDER BY date1,attend1,start1
You are likely making it much more complex than it needs to be. Try something like this:
SELECT attendant_id
,client_id
,date
FROM timesheet_lines
WHERE (attendant_id,date) IN (
SELECT attendant_id
,date
FROM timesheet_lines tsl1
GROUP BY attendant_id
,date
HAVING COUNT(date) > 1
)
GROUP BY attendant_id
,client_id
,date
HAVING COUNT(client_id) = 1
The subquery returns results only of attendants performing multiple activities on the same date. The top query will pull from the same table, matching the attendant and dates of activity, and filter the result set to items where there is only 1 client in the grouping. Example:
attendant_id client_id date
1 A 2014-01-01
1 B 2014-01-01
2 C 2014-01-01
2 D 2014-01-02
Will return:
attendant_id client_id date
1 A 2014-01-01
1 B 2014-01-01
Untested, but I think it should be in line with what you are looking for, assuming the following two statements are true:
You are not trying to capture two different attendants working the same client on the same day
An attendant can only perform one activity per client per day
If the second point is not true, then you will need to incorporate additional fields into the subquery (such as an activity_id or something).
Hope this helps.
Currently trying to create a query that shows how many accounts have paid month on month but on a cumulative basis (penetration). So as an example I have a table with Month paid and account number, which shows what month that account paid.
Month | AccountNo
Jan-14 | 123456
Feb-14 | 321654
So using the above the result set would show
Month | Payers
Jan-14 | 1
Feb-14 | 2
being because one account paid in Jan, then one in Feb meaning that there have been by the end of Feb 2 payments overall, but only one in Jan. Tried a few inner joins back onto the table itself with a t1.Month >= t2.Month as i would for a normal cumulative query but the result is always out.
Any questions please ask, unsure if the above will be clear to anyone but me.
If you have date in the table then you can try the following query.
SELECT [Month]
,(SELECT COUNT(AccountNo)
FROM theTable i
-- This is to make sure to add until the last day of the current month.
WHERE i.[Date] <= DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,o.[Date])+1,0)) AS CumulativeCount
FROM theTable o
Ok, several things. You need to have an actual date field, as you can't order by the month column you have.
You need to consider there may be gaps in the months - i.e. some months where there is no payment (not sure if that is true or not)
I'd recommend a recursive common table expression to do the actual aggregation
Heres how it works out:
-- setup
DECLARE #t TABLE ([Month] NCHAR(6), AccountNo INT)
INSERT #t ( [Month], AccountNo )
VALUES ( 'Jan-14',123456),('Feb-14',456789),('Apr-14',567890)
-- assume no payments in march
; WITH
t2 AS -- get a date column we can sort on
(
SELECT [Month],
CONVERT(DATETIME, '01 ' + REPLACE([Month], '-',' '), 6) AS MonthStart,
AccountNo
FROM #t
),
t3 AS -- group by to get the number of payments in each month
(
SELECT [Month], MonthStart, COUNT(1) AS PaymentCount FROM t2
GROUP BY t2.[Month], t2.MonthStart
),
t4 AS -- get a row number column to order by (accounting for gaps)
(
SELECT [Month], MonthStart, PaymentCount,
ROW_NUMBER() OVER (ORDER BY MonthStart) AS rn FROM t3
),
t5 AS -- recursive common table expression to aggregate subsequent rows
(
SELECT [Month], MonthStart, PaymentCount AS CumulativePaymentCount, rn
FROM t4 WHERE rn = 1
UNION ALL
SELECT t4.[Month], t4.MonthStart,
t4.PaymentCount + t5.CumulativePaymentCount AS CumulativePaymentCount, t4.rn
FROM t5 JOIN t4 ON t5.rn + 1 = t4.rn
)
SELECT [Month], CumulativePaymentCount FROM t5 -- select desired results
and the results...
Month CumulativePaymentCount
Jan-14 1
Feb-14 2
Apr-14 3
If your month column is date type then its easy to work on else you need some additional conversion for it. Here the query goes...
create table example (
MONTHS datetime,
AccountNo INT
)
GO
insert into example values ('01/Jan/2009',300345)
insert into example values ('01/Feb/2009',300346)
insert into example values ('01/Feb/2009',300347)
insert into example values ('01/Mar/2009',300348)
insert into example values ('01/Feb/2009',300349)
insert into example values ('01/Mar/2009',300350)
SELECT distinct datepart (m,months),
(SELECT count(accountno)
FROM example b
WHERE datepart (m,b.MONTHS) <= datepart (m,a.MONTHS)) AS Total FROM example a
I have a table and in that bank transactions are recorded. I want to pull out the users who made transaction just once in a month. That means their transaction count == 1 for that month.
I am recording card_number, timestamp etc..
SELECT *
FROM transactions
GROUP BY card_number, month
HAVING COUNT(card_number) = 1
Check This
select Card_Number,
DATEPART(m, [TimeStamp] )MonthNo,
COUNT(1) TxnCount
from Transactions
group by Card_Number,
DATEPART(m, [TimeStamp] )
having COUNT(1)=1
I am assuming that your table structure is somthing like below.
Card_Number int,
TimeStamp datetime