My problem is that out of two tables I need a result set presenting the number of ordered items per PLU and the number of items still on stock.
I cannot do it in ONE stored procedure.
My query presenting the orders.
SELECT
tblOrderDetails.PLU, tblArtikel.Description,
SUM(tblOrderDetails.Pieces) AS Pieces
FROM
tblOrderDetails
INNER JOIN
tblArtikel ON tblOrderDetails.PLU = tblArtikel.PLU
GROUP BY
tblOrderDetails.PLU, tblArtikel.Description
returns as output:
30002 BA4875 3
30012 UK8798 15
My stock is queried with
(SELECT SUM(tblStock.Pieces) AS Ls, tblStock.PLU
from tblStock
GROUP BY tblStock.PLU)
The result should look like:
30002 BA4875 3 0
30012 UK8798 15 8
meaning that for artikelno 30002 there are 3 ordered and 0 on stock
So, how can I combine both queries (resultsets) in one SP?
I always get error
Msg 116
Only one expression can be specified in the select list when the subquery is not introduced with EXISTS.
I know what the error is, but without the PLU in the stock-query I do not know how to combine both resultsets.
Thanks yr. help
Michael
Can you please try the below
SELECT
tblOrderDetails.PLU, tblArtikel.Description,
SUM(tblOrderDetails.Pieces) AS Pieces
FROM tblOrderDetails
INNER JOIN tblArtikel ON tblOrderDetails.PLU = tblArtikel.PLU
where exists
(
select SUM(tblStock.Pieces) AS Ls, tblStock.PLU from tblStock
where tblArtikel.PLU = tblStock.PLU
GROUP BY tblStock.PLU
having SUM(tblStock.Pieces) > 0
)
GROUP BY tblOrderDetails.PLU, tblArtikel.Description
Please let me know if this helps
Related
I have the two joined tables below. I'd like to get only the one line from the REQUIREMENTS table with the most recent date (3/8/2019).
**PART** **REQUIREMENTS**
ID OH TIME PART ORDER QTY DATE
5512 5 21 5512 74619 102 3/8/2019
5512 74907 25 3/10/2019
5512 74908 41 3/19/2019
5512 74243 59 3/21/2019
When I use Min(REQUIREMENTS.DATE), I still get all four rows because of the unique data in both the ORDER and QTY tables. I'm pretty sure I need to use Select Top 1 [...] but I'm having trouble figuring out where to use it. Ultimately I'm looking to return:
PART DATE OH TIME ORDER QTY
5512 3/8/2019 5 21 74619 102
Can anyone point me in the right direction (SQL Server 2012)? Thanks in advance!
Dan
You can use a correlated subquery to do this:
SELECT *
FROM PART P
INNER JOIN REQUIREMENTS R ON
P.ID = R.PART
WHERE REQUIREMENTS.[DATE] = (SELECT MAX([DATE] FROM REQUIREMENTS WHERE R.PART = PART)
You can use APPLY, your choice if you want OUTER or CROSS.
SELECT p.ID, p.state, p.time
, r.qty, r.date1
FROM dbo.Part p
OUTER APPLY (
select top 1 qty, date
from dbo.Requirements
where part = p.ID
order by date1
) as r
I have a lot of explaining to do for the context of this question so bear with me.
At my company, we have a SQL Server database and I'm working in the Management studio 2014.
We have a table that's called Jobstatistics, which displays how many Jobs are done during Intervals of one hour each.
The table looks like this
The station field is basically different areas jobs can be done at.
As you can see, some rows are missing for certain intervals and this is because of the way this table gets filled with data. To fill this table we have a script running that looks at another table and aggregates the amount of jobs for all dates between this interval. In other words, if there aren't any jobs, there won't be a row inserted because there will be nothing to insert (no rows from the other table to aggregate any jobs on).
What I want to do here is fill in these extra intervals with 0 as the amount of Jobs. So there will always be the 24 intervals (hours) for each day and for each station. On top of that we have set targets which we would like to achieve and I declared these in another table, called JobstatisticsTargets, which you could call a calendar table to join the Jobstatistics table on.
The calender table looks like this
I have tried doing a left or right join so the missing intervals would get filled in and the Jobs would at least get NULL values, but the join clause doesn't do what I expect it to.
This is my tried attempt
SELECT a.[Station], a.[Interval], a.[Jobs], b.[28JPH], b.[35JPH]
FROM [JobStatistics] a
RIGHT JOIN [JobStatisticsTargets] b
ON CONVERT(VARCHAR(10),a.Interval,108) = b.Interval
WHERE DATEDIFF(DAY, a.Interval, GETDATE()) < 12
AND Station LIKE '138010'
ORDER BY a.Station, a.Interval
The LEFT JOIN does exactly the same as I would expect a normal join to do and it doesn't append any intervals with NULL values. (the query is just for one station and a few days so I could test easily)
Any help is much appreciated. I will check this topic regularly so be sure to ask any questions regarding the context if you have any and I will try to explain it as good as I can!
EDIT
With some help the query now looks like this
SELECT a.[Station], b.[Interval], a.[Jobs], b.[28JPH], b.[35JPH]
FROM [JobStatistics] a
RIGHT JOIN [JobStatisticsTargets] b
ON CONVERT(VARCHAR(10),a.Interval,108) = b.Interval
AND CONVERT(VARCHAR(10),a.Interval,110) = CONVERT(VARCHAR(10),GETDATE(),110)
AND Station LIKE '138010'
ORDER BY b.Interval
I filter on today's date now because otherwise the extra rows aren't what I want them to be at all. The problem is that I don't know an easy way of filling in my stations. I suppose I need a subquery for those or is there another way?
The problem now as well is that I can't do this query for different stations. I would expect 24 rows for each station representing all the intervals, but I get this as a result:
Station Interval Jobs 28JPH 35JPH
NULL 00:30:00 NULL 0 0
NULL 01:30:00 NULL 0 0
NULL 02:30:00 NULL 0 0
NULL 03:30:00 NULL 0 0
134040 04:30:00 2 0 0
136060 04:30:00 2 0 0
131080 04:30:00 2 0 0
138010 05:30:00 2 0 0
NULL 06:30:00 NULL 0 0
NULL 07:30:00 NULL 28 35
NULL 08:30:00 NULL 28 35
...
You filter on a field from the table which rows may not be presented in the join result: >>>AND Station LIKE '138010'
You should change your query and put this condition in ON CLAUSE, not in WHERE
check this script and let me know,
declare #t table(interval datetime,jobs int)
insert into #t VALUES('2017-04-28 05:30',1),('2017-04-28 06:30',5),('2017-04-29 06:30',5)
--select * from #t
;With CTE as
(
select cast('00:00' as time) as IntervalTime
union ALL
select DATEADD(MINUTE,30,IntervalTime)
from cte
where IntervalTime<'23:30'
)
,CTE1 AS(
select interval,jobs
,dense_rank()over( order by cast(interval as date))rn
from #t
)
select * FROM
(
select distinct case when t.interval is null then
DATEADD(day, DATEDIFF(day, 0,
(select top 1 interval from cte1 where rn=n.number)), cast(c.IntervalTime as datetime))
else t.interval end Newinterval,isnull(t.jobs,0) Jobs
from CTE c
left join cte1 t
on c.IntervalTime=cast(t.interval as time)
cross apply(select number from master.dbo.spt_values
where name is null and number<=(select max(rn) from cte1))n
)t4
where Newinterval is not null
Sorry for the poor title. I wasn't sure how to describe my problem. I've written a query that returns about 23,000 records. A lot of those records have similar information and I want to only select the records with the maximum of the field dbo.tblMsgsOnAir_Type8.fldBuddyLinkSigStrength. I've tried grouping by all of the other columns being selected, but it doesn't appear to work correctly. I don't fully understand SQL, especially the max and group functions. I can do simple max functions when I only want or need to select one thing. I don't understand how it works when I want to select a bunch of other data. Below is the query.
SELECT
dbo.tblmeterinfo.fldMeterSerialNumber AS "MOP_FNP_Meter",
dbo.tblMsgsOnAir_Type8.fldRBuddyId AS "MOP_FNP_FNID",
dbo.TBLMETERMAINT.fldmeterid AS "Meter_ID_Helped",
dbo.tblMsgsOnAir_Type8.fldCBuddyId AS "FNID_Helped",
dbo.fn_dt(dbo.tblMsgsOnAir_Type8.fldRBuddyToi) AS "TOI",
dbo.tblMsgsOnAir_Type8.fldBuddyLinkSigStrength AS "Sig_Str",
dbo.TBLSAWN_CIS_INFO.SML AS "Buddy_SML",
dbo.TBLMETERLIST.fldaddress AS "Buddy_Address",
dbo.TBLSAWNGISCOORD.X_COORD AS "X_Coord",
dbo.TBLSAWNGISCOORD.Y_COORD AS "Y_Coord"
FROM dbo.tblMsgsOnAir_Type8
LEFT OUTER JOIN dbo.TBLMETERLIST
ON (dbo.TBLMETERLIST.FLDREPID = dbo.tblMsgsOnAir_Type8.fldCBuddyId)
LEFT OUTER JOIN dbo.TBLMETERMAINT
ON (dbo.TBLMETERMAINT.FLDREPID = dbo.tblMsgsOnAir_Type8.fldCBuddyID)
LEFT OUTER JOIN dbo.TBLSAWN_CIS_INFO
ON (dbo.TBLSAWN_CIS_INFO.FLDREPID = dbo.tblMsgsOnAir_Type8.fldCBuddyId)
LEFT OUTER JOIN dbo.TBLSAWNGISCOORD
ON (dbo.TBLSAWNGISCOORD.SRV_MAP_LOC = dbo.TBLSAWN_CIS_INFO.SML)
LEFT OUTER JOIN dbo.tblmeterinfo
ON (dbo.tblmeterinfo.fldRepId = dbo.tblMsgsOnAir_Type8.fldRBuddyId)
WHERE dbo.tblMsgsOnAir_Type8.fldRBuddyId IN (SELECT
dbo.tblSAWN_FNPmap.Repid
FROM dbo.tblSAWN_FNPmap)
AND dbo.TBLMETERMAINT.fldmeterid IS NOT NULL
The query below is simple and does what I want, but doesn't get all of the other field. This query only returns 617 records. I would like the above query to return 617 records, but include all of the other information I've selected.
SELECT
dbo.TBLMETERMAINT.fldmeterid AS "Meter_ID_Helped",
MAX(dbo.tblMsgsOnAir_Type8.fldBuddyLinkSigStrength) AS "Max_Sig"
FROM dbo.tblMsgsOnAir_Type8
LEFT OUTER JOIN dbo.TBLMETERMAINT
ON (dbo.TBLMETERMAINT.FLDREPID = dbo.tblMsgsOnAir_Type8.fldCBuddyID)
WHERE dbo.tblMsgsOnAir_Type8.fldRBuddyId IN (SELECT
dbo.tblSAWN_FNPmap.Repid
FROM dbo.tblSAWN_FNPmap)
AND dbo.TBLMETERMAINT.fldmeterid IS NOT NULL
GROUP BY dbo.TBLMETERMAINT.fldmeterid
Probably row_number() to the rescue. You can use it to find the best records in a set, with a grouping by some subset or other. Something like
select *
from ....
where row_number over (partition by id order by fldBuddyLinkSigStrength) = 1
So SQL Server assigns a row number within the groups. Each record will be sub-grouped by id, in this case, and given 1 if it's the best strength, 2 if it's next, etc.
If you are getting duplicates have you tried using SELECT DISTINCT?
Basically how Max works is that it will select the highest value in the group.
So if you have a table:
ID | VALUE
1 | 10
1 | 7
1 | 9
2 | 6
2 | 8
And do
SELECT ID, MAX(VALUE)
FROM TABLE
GROUP BY ID
You'll get the max value per ID
ID | VALUE
1 | 10
2 | 8
If you want to get the Max while not grouping the result then you can do the group in a subselect
SELECT ID, VALUE, MAX_VALUE etc etc
FROM TABLE
JOIN ( SELECT ID, MAX(VALUE) AS MAX_VALUE FROM TABLE GROUP BY ID) as MAX ON MAX.ID = TABLE.ID
Without knowing your table structures in more detail I can't be sure this is the best way, but here's something that should work. Use the 2nd query as the left side of a left join, to pick up the extra columns:
select a.*
from (<your 2nd query>) a
left join dbo.TBLMETERLIST
on (a.FLDREPID = dbo.tblMsgsOnAir_Type8.fldCBuddyId)
left join <next table> ...
and so on. You'll also have to left join on dbo.tblMsgsOnAir_Type8 in order to pick up the columns in that table, so that's one additional left join beyond what your first query does. By the way, it's a good idea to post code here laid out so it's readable; it makes it a lot easier for others to understand.
This is my first post - so I apologise if it's in the wrong seciton!
I'm joining two tables with a one-to-many relationship using their respective ID numbers: but I only want to return the most recent record for the joined table and I'm not entirely sure where to even start!
My original code for returning everything is shown below:
SELECT table_DATES.[date-ID], *
FROM table_CORE LEFT JOIN table_DATES ON [table_CORE].[core-ID] = table_DATES.[date-ID]
WHERE table_CORE.[core-ID] Like '*'
ORDER BY [table_CORE].[core-ID], [table_DATES].[iteration];
This returns a group of records: showing every matching ID between table_CORE and table_DATES:
table_CORE date-ID iteration
1 1 1
1 1 2
1 1 3
2 2 1
2 2 2
3 3 1
4 4 1
But I need to return only the date with the maximum value in the "iteration" field as shown below
table_CORE date-ID iteration Additional data
1 1 3 MoreInfo
2 2 2 MoreInfo
3 3 1 MoreInfo
4 4 1 MoreInfo
I really don't even know where to start - obviously it's going to be a JOIN query of some sort - but I'm not sure how to get the subquery to return only the highest iteration for each item in table 2's ID field?
Hope that makes sense - I'll reword if it comes to it!
--edit--
I'm wondering how to integrate that when I'm needing all the fields from table 1 (table_CORE in this case) and all the fields from table2 (table_DATES) joined as well?
Both tables have additional fields that will need to be merged.
I'm pretty sure I can just add the fields into the "SELECT" and "GROUP BY" clauses, but there are around 40 fields altogether (and typing all of them will be tedious!)
Try using the MAX aggregate function like this with a GROUP BY clause.
SELECT
[ID1],
[ID2],
MAX([iteration])
FROM
table_CORE
LEFT JOIN table_DATES
ON [table_CORE].[core-ID] = table_DATES.[date-ID]
WHERE
table_CORE.[core-ID] Like '*' --LIKE '%something%' ??
GROUP BY
[ID1],
[ID2]
Your example field names don't match your sample query so I'm guessing a little bit.
Just to make sure that I have everything you’re asking for right, I am going to restate some of your question and then answer it.
Your source tables look like this:
table_core:
table_dates:
And your outputs are like this:
Current:
Desired:
In order to make that happen all you need to do is use a subquery (or a CTE) as a “cross-reference” table. (I used temp tables to recreate your data example and _ in place of the - in your column names).
--Loading the example data
create table #table_core
(
core_id int not null
)
create table #table_dates
(
date_id int not null
, iteration int not null
, additional_data varchar(25) null
)
insert into #table_core values (1), (2), (3), (4)
insert into #table_dates values (1,1, 'More Info 1'),(1,2, 'More Info 2'),(1,3, 'More Info 3'),(2,1, 'More Info 4'),(2,2, 'More Info 5'),(3,1, 'More Info 6'),(4,1, 'More Info 7')
--select query needed for desired output (using a CTE)
; with iter_max as
(
select td.date_id
, max(td.iteration) as iteration_max
from #table_dates as td
group by td.date_id
)
select tc.*
, td.*
from #table_core as tc
left join iter_max as im on tc.core_id = im.date_id
inner join #table_dates as td on im.date_id = td.date_id
and im.iteration_max = td.iteration
select *
from
(
SELECT table_DATES.[date-ID], *
, row_number() over (partition by table_CORE date-ID order by iteration desc) as rn
FROM table_CORE
LEFT JOIN table_DATES
ON [table_CORE].[core-ID] = table_DATES.[date-ID]
WHERE table_CORE.[core-ID] Like '*'
) tt
where tt.rn = 1
ORDER BY [core-ID]
I am comparing an original table in SQL server to an Update table. I'm trying to find how many "First Numbers" have changed. As they do change in this system. But, this query seems to bring back "First Numbers" that that are equal to both tables. What am I doing wrong?
select *
from
tblBlue
where
Exists (Select 'x'
From tblRed
Where tblRed.FirstNumber != tblBlue.FirstNumber
and tblRed.ID = tblBlue.ID)
Example data:
tblRed
ID FirstNumber
1 10
2 20
3 30
4 40
tblBlue
1 5
2 20
3 35
4 40
I would expect to see:
1 5
3 35
Your query should work (see example at SQL Fiddle.) Could you post example data for which it's returning the wrong results?
A slightly clearer way to write it:
select *
from tblBlue new
join tblRed old
on new.ID = red.ID
where new.FirstNumber <> old.FirstNumber
Easier solution: use a left join
SELECT r.*
FROM tblRed r
LEFT JOIN tblBlue b ON b.ID = r.ID AND b.FirstNumber = r.FirstNumber
WHERE b.ID IS NULL
This will return records in tblRed that satisfy one of two conditions: 1) the ID isn't even found in tblBlue, i.e. a new record. or 2) the IDs were found, but the numbers have changed. Because if both the ID is the same and the FirsTNumber is the same, then b.ID will not be NULL, thus a match, and you can exclude it from the resultset of different values.