I have two tables.
Table 1 = My Trades
Table 2 = Market Trades
I want query the market trade 1 minute prior to my trade. If there is no market trade in Table 2 that is 1 minute apart from mine then I want to look back 2 minutes and so on till I have a match.
Right now my query gets me 1 minute apart but I cant figure out how to get 2 minutes apart if NULL or 3 minutes apart if NULL (up to 30 minutes). I think it would best using a variable but im not sure the best way to approach this.
Select
A.Ticker
,a.date_time
,CONVERT(CHAR(16),a.date_time - '00:01',120) AS '1MINCHANGE'
,A.Price
,B.Date_time
,B.Price
FROM
Trade..MyTrade as A
LEFT JOIN Trade..Market as B
on (a.ticker = b.ticker)
and (CONVERT(CHAR(16),a.date_time - '00:01',120) = b.Date_time)
There is no great way to do this in MySQL. But, because your code looks like SQL Server, I'll show that solution here, using APPLY:
select t.Ticker ,
convert(CHAR(16), t.date_time - '00:01', 120) AS '1MINCHANGE',
t.Price,
m.Date_time,
m.Price
from Trade..MyTrade as t outer apply
(select top 1 m.*
from Trade..Market m
where a.ticker = b.ticker and
convert(CHAR(16), t.date_time - '00:01', 120) >= b.Date_time)
order by m.DateTime desc
) m;
Related
How to query in SQL from the sample data, it will group or cluster the access_time per user per day within 10min intervals?
This is a complete guess, based on reading between the lines, and is untested due to a lack of consumable sample data.
It, however, looks like you are after a triangular JOIN (these can perform poorly, especially as this won't be SARGable) and a DENSE_RANK:
SELECT YT.[date],
YT.User_ID,
YT2.AccessTime,
DENSE_RANK() OVER (PARTITION BY YT.[date], YT.User_ID ORDER BY YT1.AccessTime) AS Cluster
FROM dbo.YourTable YT
JOIN dbo.YourTable YT2 ON YT.[date] = YT2.[date]
AND YT.User_ID = YT2.User_ID
AND YT.AccessTime <= YT2.AccessTime --This will join the row to itself
AND DATEADD(MINUTE,10,YT.AccessTime) >= YT2.AccessTime; --That is intentional
If I have understood your problem you want to group all accesses for a user in a day when all accesses of that group are in a time interval of 10 minutes. Not counting single accesses, so an access distant more than 10 minutes from every other is not counted as a cluster.
You can identify the clusters joining the accesses table with itself to get all possible time intervals of 10 minutes and number them.
Finally simply rejoin access table to get accesses for each cluster:
; with
user_clusters as (
select a1.date, a1.user_id, a1.access_time cluster_start, a2.access_time cluster_end,
ROW_NUMBER() over (partition by a1.date, a1.user_id order by a1.access_time) user_cluster_id
from ACCESS_TIMES a1
join ACCESS_TIMES a2 on a1.date = a2.date and a1.user_id = a2.user_id
and a1.access_time < a2.access_time
and datediff(minute, a1.access_time, a2.access_time)<10
)
select *
from user_clusters c
join ACCESS_TIMES a on a.date = c.date and a.user_id = c.user_id and a.access_time between c.cluster_start and cluster_end
order by a.date, a.user_id, c.user_cluster_id, a.access_time
output:
date user_id access_time user_cluster_id
'2020-09-19', 'AA083P', '2020-09-19 18:15:00', 1
'2020-09-19', 'AA083P', '2020-09-19 18:22:00', 1
'2020-09-19', 'AA083P', '2020-09-19 18:22:00', 2
'2020-09-19', 'AA083P', '2020-09-19 18:28:00', 2
'2020-09-20', 'AB162Y', '2020-09-20 19:34:00', 1
'2020-09-20', 'AB162Y', '2020-09-20 19:37:00', 1
I'm new to the SQL scene but I've started to gather some data that makes sense to me after learning a little about SQL Developer. Although, I do need help with a query.
My goal:
To use the current criteria I have and select records only when the date-time value is within 5 minutes of the latest date-time. Here is my current sql statement
`SELECT ABAMS.T_WORKORDER_HIST.LINE_NO AS Line,
ABAMS.T_WORKORDER_HIST.STATE AS State,
ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO_EXT,
ASMBLYTST.V_SEQ_SERIAL_ALL.UPD_REASON_CODE,
ABAMS.V_SERIAL_LINESET.LINESET_DATE AS "Lineset Time",
ABAMS.T_WORKORDER_HIST.SERIAL_NO AS ESN,
ABAMS.T_WORKORDER_HIST.ITEM_NO AS "Shop Order",
ABAMS.T_WORKORDER_HIST.CUST_NAME AS Customer,
ABAMS.T_ITEM_POLICY.PL_LOC_DROP_ZONE_NO AS PLDZ,
ABAMS.T_WORKORDER_HIST.CONFIG_NO AS Configuration,
ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN AS "Last Sta",
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_LOC,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_MES_LOC,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_TIME,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_MES_TIME
FROM ABAMS.T_WORKORDER_HIST
LEFT JOIN ABAMS.V_SERIAL_LINESET
ON ABAMS.V_SERIAL_LINESET.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ASMBLYTST.V_EDP_ENG_LAST_ABSN
ON ASMBLYTST.V_EDP_ENG_LAST_ABSN.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ASMBLYTST.V_SEQ_SERIAL_ALL
ON ASMBLYTST.V_SEQ_SERIAL_ALL.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ABAMS.T_ITEM_POLICY
ON ABAMS.T_ITEM_POLICY.ITEM_NO = ABAMS.T_WORKORDER_HIST.ITEM_NO
LEFT JOIN ABAMS.T_CUR_STATUS
ON ABAMS.T_CUR_STATUS.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
INNER JOIN ASMBLYTST.V_LAST_ENG_LOCATION
ON ASMBLYTST.V_LAST_ENG_LOCATION.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
WHERE ABAMS.T_WORKORDER_HIST.LINE_NO = 10
AND (ABAMS.T_WORKORDER_HIST.STATE = 'PROD'
OR ABAMS.T_WORKORDER_HIST.STATE = 'SCHED')
AND ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE BETWEEN TRUNC(SysDate) - 10 AND TRUNC(SysDate) + 1
AND (ABAMS.V_SERIAL_LINESET.LINESET_DATE IS NOT NULL
OR ABAMS.V_SERIAL_LINESET.LINESET_DATE IS NULL)
AND (ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN < '1800'
OR ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN IS NULL)
ORDER BY ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN DESC Nulls Last,
ABAMS.V_SERIAL_LINESET.LINESET_DATE Nulls Last,
ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO_EXT`
Here are some of the records I get from the table
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_TIME
2018-06-14 01:28:25
2018-06-14 01:29:26
2018-06-14 01:27:30
2018-06-13 22:44:03
2018-06-14 01:28:45
2018-06-14 01:27:37
2018-06-14 01:27:41
What I essentially want is for
2018-06-13 22:44:03
to be excluded from the query because it is not within the 5 minute window from the latest record Which in this data set is
2018-06-14 01:29:26
The one dynamic problem i seem to have is that the values for date-time are constantly updating.
Any ideas?
Thank you!
Here are two different solutions, each uses a table called "ASET".
ASET contains 20 records 1 minute apart:
WITH
aset (ttime, cnt)
AS
(SELECT systimestamp AS ttime, 1 AS cnt
FROM DUAL
UNION ALL
SELECT ttime + INTERVAL '1' MINUTE AS ttime, cnt + 1 AS cnt
FROM aset
WHERE cnt < 20)
select * from aset;
Now using ASET for our data, the following query finds the maximum date in ASET, and restricts the results to the six records within 5 minutes of ASET:
SELECT *
FROM aset
WHERE ttime >= (SELECT MAX (ttime)
FROM aset)
- INTERVAL '5' MINUTE;
An alternative is to use an analytic function:
with bset
AS
(SELECT ttime, cnt, MAX (ttime) OVER () - ttime AS delta
FROM aset)
SELECT *
FROM bset
WHERE delta <= INTERVAL '5' MINUTE
I am pretty new to SQL Server and just started playing with it. I am trying to create a table that shows attendance percentage by department.
So first i run this query:
SELECT CrewDesc, COUNT(*)
FROM database.emp
INNER JOIN database.crew on sim1 = sim2
GROUP BY CrewDesc
This gives a table like this:
Accounting 10
Marketing 5
Economics 20
Engineering 5
Machinery 5
Tech Support 10
Then i run another query:
SELECT DeptDescription, COUNT(*)
FROM database.Attendee
GROUP BY DeptDescription
This gives me the result of all the people that have attended meeting something like
Accounting 8
Marketing 5
Economics 15
Engineering 10
Tech Support 8
Then I get the current week in the year by SELECT Datepart(ww, GetDate()) as CurrentWeek To make this example easy lets assume this will be week "2".
Now the way i was going to create this was a table for each step but that seems like waste. Is there a way we can combine to tables in a query? So in the end result i would like a table like this
Total# Attd Week (Total*Week) Attd/(Total*week)%
Accounting 10 8 2 20 8/20
Marketing 5 5 2 10 5/10
Economics 20 15 2 40 15/40
Engineering 5 10 2 10 10/10
Machinery 5 NULL 2 10 0/10
Tech Support 10 8 2 20 8/20
Ok, note that my recommendation below is based on your exact existing queries - there are certainly other ways to construct this that may be more performant, but functionally this should work for your requirement. Also, it illustrates the key features of different join types that happen to be relevant for your request, as well as inline views (aka nested queries), which are a super-powerful technique in the SQL language as a whole.
select t1.CrewDesc, t1.Total, t2.Attd, t3.Week,
(t1.Total*t3.Week) as Total_x_Week,
case when isnull(t1.Total*t3.Week, 0) = 0 then 0 else isnull(t2.Attd, 0) / isnull(t1.Total*t3.Week, 0) end as PercentageAttd
from (
SELECT CrewDesc, COUNT(*) AS Total
FROM database.emp INNER JOIN database.crew on sim1 = sim2
GROUP BY CrewDesc
) t1
left outer join /* left outer to keep all rows from t1 */ (
SELECT DeptDescription, COUNT(*) AS Attd
FROM database.Attendee GROUP BY DeptDescription
) t2
on t1.CrewDesc = t2.DeptDescription
cross join /* useful when adding a scalar value to all rows */ (
SELECT Datepart(ww, GetDate()) as Week
) t3
order by t1.CrewDesc
Good luck!
Try something like this
SELECT COALESCE(a.crewdesc,b.deptdescription),
a.total,
b.attd,
Datepart(ww, Getdate()) AS week,
total * Datepart(ww, Getdate()),
b.attd/(a.total*Datepart(ww, Getdate()))
FROM (query 1) a
FULL OUTER JOIN (query 2) b
ON a.crewdesc = b.deptdescription
WITH Total AS ( SELECT CrewDesc, COUNT(*) AS [Count]
FROM database.emp
INNER JOIN database.crew on sim1 = sim2
GROUP BY CrewDesc
),
Attd AS ( SELECT DeptDescription, COUNT(*) AS [Count]
FROM database.Attendee
GROUP BY DeptDescription
)
SELECT COALESCE(CrewDesc,DeptDescription) AS [Dept],
Total.[Count] AS [Total#],Attd.[Count] AS [Attd],
Total.[Count] * Datepart(ww, GetDate()) AS [(Total*Week)],
CAST(Attd.[Count] AS VARCHAR(10))+'/'+ CAST((Total.[Count] * Datepart(ww, GetDate()))AS VARCHAR(10)) AS [Attd/(Total*week)%]
FROM Total INNER JOIN Attd ON Total.CrewDesc = Attd.DeptDescription
I'm assuming your queries are correct -- you give no real information about your model so I've no way to know. They look wrong since the same data is called CrewDesc in one table and Dept in another. Also the join sim1 = sim2 seems very strange to me. In any case given the queries you posted this will work.
With TAttend as
(
SELECT CrewDesc, COUNT(*) as TotalNum
FROM database.emp
INNER JOIN database.crew on sim1 = sim2
GROUP BY CrewDesc
), Attend as
(
SELECT DeptDescription, COUNT(*) as Attd
FROM database.Attendee
GROUP BY DeptDescription
)
SELECT CrewDesc as Dept, TotalNum, ISNULL(Attd, 0) as Attd ,Datepart(ww, GetDate()) as Week,
CASE WHEN ISNULL(Attd, 0) > 0 THEN 0
ELSE ISNULL(Attd, 0) / (TotalNum * Datepart(ww, GetDate()) ) END AS Percent
FROM TAttend
LEFT JOIN Attend on CrewDesc = DeptDescription
For a development aid project I am helping a small town in Nicaragua improving their water-network-administration.
There are about 150 households and every month a person checks the meter and charges the houshold according to the consumed water (reading from this month minus reading from last month). Today all is done on paper and I would like to digitalize the administration to avoid calculation-errors.
I have an MS Access Table in mind - e.g.:
*HousholdID* *Date* *Meter*
0 1/1/2013 100
1 1/1/2013 130
0 1/2/2013 120
1 1/2/2013 140
...
From this data I would like to create a query that calculates the consumed water (the meter-difference of one household between two months)
*HouseholdID* *Date* *Consumption*
0 1/2/2013 20
1 1/2/2013 10
...
Please, how would I approach this problem?
This query returns every date with previous date, even if there are missing months:
SELECT TabPrev.*, Tab.Meter as PrevMeter, TabPrev.Meter-Tab.Meter as Diff
FROM (
SELECT
Tab.HousholdID,
Tab.Data,
Max(Tab_1.Data) AS PrevData,
Tab.Meter
FROM
Tab INNER JOIN Tab AS Tab_1 ON Tab.HousholdID = Tab_1.HousholdID
AND Tab.Data > Tab_1.Data
GROUP BY Tab.HousholdID, Tab.Data, Tab.Meter) As TabPrev
INNER JOIN Tab
ON TabPrev.HousholdID = Tab.HousholdID
AND TabPrev.PrevData=Tab.Data
Here's the result:
HousholdID Data PrevData Meter PrevMeter Diff
----------------------------------------------------------
0 01/02/2013 01/01/2013 120 100 20
1 01/02/2013 01/01/2012 140 130 10
The query above will return every delta, for every households, for every month (or for every interval). If you are just interested in the last delta, you could use this query:
SELECT
MaxTab.*,
TabCurr.Meter as CurrMeter,
TabPrev.Meter as PrevMeter,
TabCurr.Meter-TabPrev.Meter as Diff
FROM ((
SELECT
Tab.HousholdID,
Max(Tab.Data) AS CurrData,
Max(Tab_1.Data) AS PrevData
FROM
Tab INNER JOIN Tab AS Tab_1
ON Tab.HousholdID = Tab_1.HousholdID
AND Tab.Data > Tab_1.Data
GROUP BY Tab.HousholdID) As MaxTab
INNER JOIN Tab TabPrev
ON TabPrev.HousholdID = MaxTab.HousholdID
AND TabPrev.Data=MaxTab.PrevData)
INNER JOIN Tab TabCurr
ON TabCurr.HousholdID = MaxTab.HousholdID
AND TabCurr.Data=MaxTab.CurrData
and (depending on what you are after) you could only filter current month:
WHERE
DateSerial(Year(CurrData), Month(CurrData), 1)=
DateSerial(Year(DATE()), Month(DATE()), 1)
this way if you miss a check for a particular household, it won't show.
Or you might be interested in showing last month present in the table (which can be different than current month):
WHERE
DateSerial(Year(CurrData), Month(CurrData), 1)=
(SELECT MAX(DateSerial(Year(Data), Month(Data), 1))
FROM Tab)
(here I am taking in consideration the fact that checks might be on different days)
I think the best approach is to use a correlated subquery to get the previous date and join back to the original table. This ensures that you get the previous record, even if there is more or less than a 1 month lag.
So the right query looks like:
select t.*, tprev.date, tprev.meter
from (select t.*,
(select top 1 date from t t2 where t2.date < t.date order by date desc
) prevDate
from t
) join
t tprev
on tprev.date = t.prevdate
In an environment such as the one you describe, it is very important not to make assumptions about the frequency of reading the meter. Although they may be read on average once per month, there will always be exceptions.
Testing with the following data:
HousholdID Date Meter
0 01/12/2012 100
1 01/12/2012 130
0 01/01/2013 120
1 01/01/2013 140
0 01/02/2013 120
1 01/02/2013 140
The following query:
SELECT a.housholdid,
a.date,
b.date,
a.meter,
b.meter,
a.meter - b.meter AS Consumption
FROM (SELECT *
FROM water
WHERE Month([date]) = Month(Date())
AND Year([date])=year(Date())) a
LEFT JOIN (SELECT *
FROM water
WHERE DateSerial(Year([date]),Month([date]),Day([date]))
=DateSerial(Year(Date()),Month(Date())-1,Day([date])) ) b
ON a.housholdid = b.housholdid
The above query selects the records for this month Month([date]) = Month(Date()) and compares them to records for last month ([date]) = Month(Date()) - 1)
Please do not use Date as a field name.
Returns the following result.
housholdid a.date b.date a.meter b.meter Consumption
0 01/02/2013 01/01/2013 120 100 20
1 01/02/2013 01/01/2013 140 130 10
Try
select t.householdID
, max(s.theDate) as billingMonth
, max(s.meter)-max(t.meter) as waterUsed
from myTbl t join (
select householdID, max(theDate) as theDate, max(meter) as meter
from myTbl
group by householdID ) s
on t.householdID = s.householdID and t.theDate <> s.theDate
group by t.householdID
This works in SQL not sure about access
You can use the LAG() function in certain SQL dialects. I found this to be much faster and easier to read than joins.
Source: http://blog.jooq.org/2015/05/12/use-this-neat-window-function-trick-to-calculate-time-differences-in-a-time-series/
I have a table as below on sql.
OrderID Account OrderMethod OrderDate DispatchDate DispatchMethod
2145 qaz 14 20/3/2011 23/3/2011 2
4156 aby 12 15/6/2011 25/6/2011 1
I want to count all records that have reordered 'within 30 days' of dispatch date where Dispatch Method is '2' and OrderMethod is '12' and it has come from the same Account.
I want to ask if this all can be achieved with one query or do I need to create different tables and do it in stages as I think I wll have to do now? Please can someone help with a code/query?
Many thanks
T
Try the following, replacing [tablename] with the name of your table.
SELECT Count(OriginalOrders.OrderID) AS [Total_Orders]
FROM [tablename] AS OriginalOrders
INNER JOIN [tablename] AS Reorders
ON OriginalOrders.Account = Reorders.Account
AND OriginalOrders.OrderDate < Reorders.OrderDate
AND DATEDIFF(day, OriginalOrders.DispatchDate, Reorders.OrderDate) <= 30
AND Reorders.DispatchMethod = '2'
AND Reorders.OrderMethod = '12';
By using an inner join you'll be sure to only grab orders that meet all the criteria.
By linking the two tables (which are essentially the same table with itself using aliases) you make sure only orders under the same account are counted.
The results from the join are further filtered based on the criteria you mentioned requiring only orders that have been placed within 30 days of the dispatch date of a previous order.
Totally possible with one query, though my SQL is a little stale..
select count(*) from table
where DispatchMethod = 2
AND OrderMethod = 12
AND DATEDIFF(day, OrderDate, DispatchDate) <= 30;
(Untested, but it's something similar)
One query can do it.
SELECT COUNT(*)FROM myTable reOrder
INNER JOIN myTable originalOrder
ON reOrder.Account = originalOrder.Account
AND reOrder.OrderID <> originalOrder.OrderID
-- all re-orders that are within 30 days or the
-- original orders dispatch date
AND DATEDIFF(d, originalOrder.DispatchDate, reOrder.OrderDate) <= 30
WHERE reOrder.DispatchMethod = 2
AND reOrder.OrderMethod = 12
You need a self-join.
The query below assumes that a given account will have either 1 or 2 records in the table - 2 if they've reordered, else 1.
If 3 records exist for a given account, 2 orders + 1 reorder then this won't work - but we'd then need more information on how to distinguish between an order and a reorder.
SELECT COUNT(*) FROM myTable new, myTable prev
WHERE new.DispatchMethod = 2
AND new.OrderMethod = 12
AND DATEDIFF(day, prev.DispatchDate, new.OrderDate) <=30
AND prev.Account == new.Account
AND prev.OrderDate < new.OrderDate
Can we use GROUP BY in this case, such as the following?
SELECT COUNT(Account)
FROM myTable
WHERE DispatchMethod = 2 AND OrderMethod = 12
AND DATEDIFF(d, DispatchDate, OrderDate) <=30
GROUP BY Account
Will the above work or am I missing something here?