Thank you for taking the time to read this, it is probably a very basic question. Most search queries I did seemed a bit more in depth to the INNER JOIN operator.
Basically my question is this: I have a shipping and receiving table with dates on when the item was either shipped or received. In the shipping table (tbl_shipping) the date row is labeled as trans_out_date and for the receiving table (tbl_receiving) the date row is labeled as trans_in_date.
I can view transactions set on either table from a user entered form but I want to populate a table with information pulled from both tables where the criteria meets. ie. If the receiving table has 10 transactions done in April and 5 in June and the shipping table has 15 transactions in April and 10 in June... when the user wants to see all transactions in June, it will populate the 15 transactions that occurred in June.
As of right now, I can pull only from 1 table with
SELECT *
FROM tbl_shipping
WHERE trans_out_date >= ‘from_date’
AND trans_out_date <= ‘to_date’
Would this be the appropriate syntax for what I am looking to achieve?
SELECT *
FROM tbl_shipping
INNER JOIN tbl_receiving ON tbl_shipping.trans_out_date = tbl_receiving.trans_in_date
WHERE
tbl_shipping.trans_out_date >= ‘from_date’
AND tbl_shipping.trans_out_date <= ‘to_date’
Thank you again in advance for reading this.
You appear to want union all rather than a join:
SELECT s.item, s.trans_out_date as dte, 'shipped' as which
FROM tbl_shipping S
WHERE s.trans_out_date >= ? AND
s.trans_out_date <= ?
UNION ALL
SELECT r.item, NULL, r.trans_in_date as dte, 'received'
FROM tbl_receiving r
WHERE r.trans_out_date >= ? AND
r.trans_out_date <= ?
ORDER BY dte;
Notes:
A JOIN can cause problems due to data that goes missing (because dates don't line up) or data that gets duplicated (because there are multiple dates).
The ? is for a parameter. If you are calling this from an application, use parameters!
You can include additional columns for more information in the result set.
This may not be the exact result format you want. If not, ask another question with sample data and desired results.
Related
I am struggling with a SQL query.
My query looks something like this:
Select
Count(user-id),
sum(distinct(date),
Sum(characters-posted)
From (
Select
Date,
User-Id,
Session-Id,
Characters—posted,
Variant-id
From database-name
Where date between ‘2022-09-01’ and ‘2022-09-31’)
This works ok. But, there is another field in the table “mailing-list”, which is just 0 or 1. I want to only get activity for members from the date when they join the mailing list onwards, even if they then leave the list, so can’t just do “where mailing-list=1”.
How can I do this?
It's not obvious what works fine for you as it seems to be uncommon to sum dates, given it is a regular date format. Are you trying to get number of active dates? as for the bottom question you might.
As for your buttom line quesiton, it seems that you might want to use a cte or subselect in a join.
your query...
from db_name dbn
inner join (select user_id, min(date) date from database_name
where mailing_list = 1 group by 1) start_date
on start_date.user_id = dbn.user_id
and start_date.date <= dbn.date
That way you're only getting activity starting from the first time your users join the mailing list.
But I still think you have an error in your final query, check it out.
I am trying to assign a specific code to a client based on the number of gifts that they have given in the past 6 months using a CASE. I am unable to use WITH (screenshot) due to the limitations of the software that I am creating the query in. It only allows for select functions. I am unsure how to get a distinct count from another table (transaction data) and use that as parameters in the CASE I have currently built (based on my client information table). Does anyone know of any workarounds for this? I am unable to GROUP BY clientID at the end of my query because not all of my columns are aggregate, and I only need to GROUP BY clientID for this particular WHEN statement in the CASE. I have looked into the OVER() clause, but I am needing my date range that I am evaluating to be dynamic (counting transactions over the last six months), and the amount of rows that I would be including is variable, as the transaction count month to month varies. Also, the software that I am building this in does not recognize the PARTITIONED BY parameter of the over clause.
Any help would be great!
EDIT:
it is not letting me attach an image... -____- I have added the two sections of code that I am looking for assistance with!
WITH "6MonthGIftCount" (
"ConstituentID"
,"GiftCount"
)
AS (
SELECT COUNT(DISTINCT "GiftView"."GiftID" FROM "GiftView" WHERE MONTHS_BETWEEN("GiftView"."GiftDate", getdate()) <= 6 GROUP BY "GiftView"."ConstituentID")
SELECT...CASE
WHEN "6MonthGiftCount"."GiftCount" >= 4
THEN 'A010'
)
Perform your grouping/COUNT(1) in a subquery to obtain the total # of donations by ConstituentID, then JOIN this total into your main query that uses this new column to perform its CASE statement.
select
hist.*,
case when timesDonated > 5 then 'gracious donor'
when timesDonated > 3 then 'repeated donor'
when timesDonated >= 1 then 'donor'
else null end as donorCode
from gifthistory hist
left join ( /* your grouping subquery here, pretending to be a new table */
select
personID,
count(1) as timesDonated
from gifthistory i
WHERE abs(months_between(giftDate, sysdate)) <= 6
group by personid ) grp on hist.personid = grp.personID
order by 1;
*Naturally, syntax changes will vary by DB; you didn't specify which it was based on, but you should be able to use this template with whichever you utilize. This works in both Oracle and SQL Server after tweaking the month calculation appropriately.
I'm trying to compare data from an Access 2010 database based on a date interval. Example I have items from various purchase orders and I want to maintain the history of these item's delivery to a warehouse. So my purchase order has a request for a quantity of 10 of a material, for example, and it can be partially delivered in many deliveries and I want to know how this delivery varied in a date interval. To fill the date field the criteria used is the following: if the item had an update in the QtyPending field, I copy the current row deactivating it with a booelan field, create a new entry with the current update date updating the QtyPending field, so the active record is the actual state of the item. So I have a table that holds informations about these items like that
PO POItem QtyPending Date Active
4500000123 10 10 01/09/2014 FALSE
4500000123 10 8 05/09/2014 TRUE
4500000122 30 5 03/09/2014 FALSE
4500000122 30 1 04/09/2014 TRUE
With this example, for the first item, it means that from date 01/09 to 04/09 the QtyPending field didn't suffer a variation, meaning that the supplier didn't make any delivery to me, but from 01/09 to 05/08 he delivered me a qty of 2 of a material. For the second one, from date 03/09 to 04/09 the supplier delivered me a qty of 4 of a material. So, if I were to be making a report query from 02/09/2014 to 04/09/2014, the expected output is like this:
PO POItem QtyDelivered
4500000123 10 0
4500000122 30 4
And a report from 31/08/2014 to 10/09/2014, would have this output
PO POItem QtyDelivered
4500000123 10 2
4500000122 30 4
I'm not coming up with a query to make this report. Can anyone help me?
There are many ways of solving this. The easiest one would be to simply make a query of all the necessary records between two dates, loop over them and insert into a temporary table the result. This temporary table can then be the source of your report. A lot of people will scream at you for not using a big query instead but getting the result that you want in the fastest and simplest way should be your priority.
Your problem with your schema is that you don't have the QtyDelivered stored for each record. If you would have it, it would be an easy thing to sum over it in order to get needed result. By not storing this value, you have transformed a simple and fast query into a much harder and slower one because you need to recalculate this value in some way or other and you must do this without forgetting the fact that it's possible to have more than two records.
For calculating this value, you can either use a sub-query to retrieve the value from the previous row or a Left join do to the same. Once you have this value, you can subtract these two to get the needed difference; allowing for the possibility of Null value if there is no previous row. Once you have these values, you can now sum over them to get the final result with a Group By. Notice that in order to perform these calculations, you need to have one or two more levels of subquery. The first query should be something like:
Select PO, POItem, QtyPending, (Select Top 1 QtyPending from MyTable T2 where T1.PO = T2.PO and T2.Date < T1.Date And (T2.Date between #Date1 and #Date2) Order by T2.Date Desc) as QtyPending2 from MyTable T1 Where T1.Date between #Date1 and #Date2) ...
With this as either another subquery or as a View, you can then compute the desired difference by comparing the values of QtyPending and QtyPending2; without forgetting that QtyPendin2 may be Null. The remaining steps are easy to do.
Notice that the above example is for SQL-Server, you might have to change it a little for Access. In any case, you can find here many examples on how to compare two rows under Access. As noted earlier, you can also use a Left Join instead of a subquery to compare your rows.
I came up with this query that solved the problem, it wasn't that simple
SELECT
ItmDtIni.PO
,ItmDtIni.POItem AS [PO Item]
,ROUND(ItmDtIni.QtyPending - ItmDtEnd.QtyPending, 3) AS [Qty Delivered]
,ROUND((ItmDtIni.QtyPending - ItmDtEnd.QtyPending) * ItmDtEnd.Price, 2) AS [Value delivered(US$)]
//Filtering subqueries to bring only the items in the date interval to make a self join
FROM (((SELECT
PO
,POItem
,QtyPending
,MIN(Date) AS MinDate
FROM Item
WHERE Date BETWEEN FORMAT(begin_date, 'dd/mm/yyyy') AND FORMAT(end_date, 'dd/mm/yyyy')
GROUP BY
PO
,POItem
,QtyPending) AS ItmDtIni
//Self join filtering to bring only items in the date interval with the previously filtered table
INNER JOIN (SELECT
PO
,POItem
,QtyPending
,Price
,MAX(Date) AS MaxDate
FROM Item
WHERE Date BETWEEN FORMAT(begin_date, 'dd/mm/yyyy') AND FORMAT(end_date, 'dd/mm/yyyy')
GROUP BY
PO
,POItem
,QtyPending
,Price) AS ItmDtEnd
ON ItmDtIni.PO = ItmDtEnd.PO
AND ItmDtIni.POItem = ItmDtEnd.POItem)
INNER JOIN PO
ON ItmDtEnd.PO = PO.Numero)
WHERE
//Showing only items that had a variation in the date interval
ROUND(ItmDtIni.QtyPending - ItmDtEnd.QtyPending, 3) <> 0
//Anchoring min date in the interval for each item found by the first subquery
AND ItmDtIni.MinDate = (SELECT MIN(Item.Date)
FROM Item
WHERE
ItmDtIni.PO = Item.PO
AND ItmDtIni.POItem = Item.POItem
AND Date BETWEEN FORMAT(begin_date, 'dd/mm/yyyy') AND FORMAT(end_date, 'dd/mm/yyyy'))
//Anchoring max date in the interval for each item found by the second subquery
AND ItmDtEnd.MaxDate = (SELECT MAX(Item.Date)
FROM Item
WHERE
ItmDtEnd.PO = Item.PO
AND ItmDtEnd.POItem = Item.POItem
AND Date BETWEEN FORMAT(begin_date, 'dd/mm/yyyy') AND FORMAT(end_date, 'dd/mm/yyyy'))
I'm looking for a way that I can calculate what the value of shares are at a given time.
In the example I need to calculate and report on the redemptions of shares in a given month.
There are 3 tables that I need to look at:
Redemptions table that has the Date of the redemption, the number of shares that were redeemed and the type of share.
The share type table which has the share type and links the 1st and 3rd tables.
The Share price table which has the share type, valuation date, value.
So what I need to do is report on and have calculated based on the number of share redemptions the value of those shares broken down by month.
Does that make sense?
Thanks in advance for your help!
Apologies, I think I should elaborate a little further as there might have been some misunderstandings. This isn't to calculate daily changing stocks and shares, it's more for fund management. What this means is that the share price only changes on a monthly basis and it's also normally a month behind.
The effect of this is that the what the query needs to do, is look at the date of the redemption, work out the date ie month and year. Then look at the share price table and if there's a share price for the given date (this will need to be calculated as it will be a single day ie the price was x on day y) then multiple they number of units by this value. However, if there isn't a share price for the given date then use the last price for that particular share type.
Hopefully this might be a little more clear but if there's any other information I can provide to make this easier then please let me know and I'll supply you with the information.
Regards,
Phil
This should do the trick (note: updated to group by ShareType):
SELECT
ST.ShareType,
RedemptionMonth = DateAdd(month, DateDiff(month, 0, R.RedemptionDate), 0),
TotalShareValueRedeemed = Sum(P.SharePrice * R.SharesRedeemed)
FROM
dbo.Redemption R
INNER JOIN dbo.ShareType ST
ON R.ShareTypeID = ST.ShareTypeID
CROSS APPLY (
SELECT TOP 1 P.*
FROM dbo.SharePrice P
WHERE
R.ShareTypeID = P.ShareTypeID
AND R.RedemptionDate >= P.SharePriceDate
ORDER BY P.SharePriceDate DESC
) P
GROUP BY
ShareType,
DateAdd(month, DateDiff(month, 0, R.RedemptionDate), 0)
ORDER BY
ShareType,
RedemptionMonth
;
See it working in a Sql Fiddle.
This can easily be parameterized by simply adding a WHERE clause with conditions on the Redemption table. If you need to show a 0 for share types in months where they had no Redemptions, please let me know and I'll improve my answer--it would help if you would fill out your use case scenario a little bit, and describe exactly what you want to input and what you want to see as output.
Also please note: I'm assuming here that there will always be a price for a share redemption--if a redemption exists that is before any share price for it, that redemption will be excluded.
If you have the valuations for every day, then the calculation is a simple join followed by an aggregation. The resulting query is something like:
select year(redemptiondate), month(redemptiondate),
sum(r.NumShares*sp.Price) as TotalPrice
from Redemptions r left outer join
ShareType st
on r.sharetype = st.sharetype left outer join
SharePrice sp
on st.sharename = sp.sharename and r.redemptiondate = sp.pricedate
group by year(redemptiondate), month(redemptiondate)
order by 1, 2;
If I understand your question, you need a query like
select shares.id, shares.name, sum (redemption.quant * shareprices.price)
from shares
inner join redemption on shares.id = redemption.share
inner join shareprices on shares.id = shareprices.share
where redemption.curdate between :p1 and :p2
order by shares.id
group by shares.id, shares.name
:p1 and :p2 are date parameters
If you just need it for one date range:
SELECT s.ShareType, SUM(ISNULL(sp.SharePrice, 0) * ISNULL(r.NumRedemptions, 0)) [RedemptionPrice]
FROM dbo.Shares s
LEFT JOIN dbo.Redemptions r
ON r.ShareType = s.ShareType
OUTER APPLY (
SELECT TOP 1 SharePrice
FROM dbo.SharePrice p
WHERE p.ShareType = s.ShareType
AND p.ValuationDate <= r.RedemptionDate
ORDER BY p.ValuationDate DESC) sp
WHERE r.RedemptionDate BETWEEN #Date1 AND #Date2
GROUP BY s.ShareType
Where #Date1 and #Date2 are your dates
The ISNULL checks are just there so it actually gives you a value if something is null (it'll be 0). It's completely optional in this case, just a personal preference.
The OUTER APPLY acts like a LEFT JOIN that will filter down the results from SharePrice to make sure you get the most recent ValuationDate from table based on the RedemptionDate, even if it wasn't from the same date range as that date. It could probably be achieved another way, but I feel like this is easily readable.
If you don't feel comfortable with the OUTER APPLY, you could use a subquery in the SELECT part (i.e., ISNULL(r.NumRedemptions, 0) * (/* subquery from dbo.SharePrice here */)
I have 2 tables with no relations, both tables have different number of columns, but there are a few columns that are the same but hold different data. I was able to create a function or view of only the data I wanted, but when I try to count the data by filtering the date, I always get the wrong count in return. Let me explain by showing the 2 functions and what I try to do:
Function 1
ID - number from 1 to 8
data sent - YES or NO
Date - date value
Function 2
ID - number from 1 to 8
data sent - yes or no
date - date value
Upon running both separately, I get all the rows from the tables and everything looks good.
Then I try to add the following to each function:
select
count([data sent]), ID
from function1
Where (date between #date1 and #date2)
group by ID
The above statement works great and gives me the right result for each function.
Now I thought what if I want to add those 2 functions into one and get the count from both functions on 1 page.
So I created the following function:
Function 3
select
count(Function1.[data sent]) as Expr1,
Function1.id,
count(Function2.[data sent]) as Expr2,
Function1.date
from
Function1
LEFT OUTER JOIN
Function2 on Function1.id = Function2.id
Where
(Function1.date between #date1 and #date2)
group by
Function1.id
Upon running the above, I get the following table:
ID Expr1 Expr2
On both Expr1 and Expr2, I get results which I am not sure where they come from. I guess something is being multiplied by 100000 since one table holds almost 15000 rows and the other around 5000 rows.
What I would like to know first is if it possible at all to be able to filter by date and count records from both table at the same time. If anyone need more information please let me know and I will be glad to share and explain more.
Thank you
The LEFT OUTER JOIN is taking each row of the left table, finding ALL of the rows in the right table with the same id field, and creating that many rows in the result table. Since id isn't what we usually think of as an identity field (it looks more like a "deviceId" or something), you'll get lots of matches for each one. Repeat 15000 times and you get your combinatorial explosion.
Tip: To debug things like this, you can create sample tables with a tiny subset of the real data, say 10 rows from each, and run your query on them. You'll see the issue immediately.
It's possible to filter by date. It's hard to recommend an actual solution without better understanding your phrase "I want to add those 2 functions into one and get the count from both functions on 1 page".
Why can't you create a temporary table for each function then join them together?
Maybe subqueries can help you to achieve what you want:
SELECT
ID = COALESCE(f1.ID, f2.ID),
Date = COALESCE(f1.Date, f2.Date),
f1.Expr1,
f2.Expr2
FROM (
SELECT
ID,
Date,
Expr1 = COUNT([data sent])
FROM Function1
WHERE Date BETWEEN #date1 AND #date2
GROUP BY
ID,
Date
) f1
FULL JOIN (
SELECT
ID,
Date,
Expr2 = COUNT([data sent])
FROM Function2
WHERE Date BETWEEN #date1 AND #date2
GROUP BY
ID,
Date
) f2
ON f1.ID = f2.ID AND f1.Date = f2.Date
This query also uses full (outer) join instead of left join, in case the right side of the join contains rows that have no match in the left side (and you want those rows).