I want to have numbering and sub-numbering to tree using a SQL query.
I have tried multiple ways, I am new to SQL.
WITH tree AS
(
SELECT
c1.structureid, c1.parentid, c1.Text,
[level] = 1,
path = CAST(c1.structureid AS VARCHAR(100)),
pathindex = 0, numericalMapping = '0.0'
FROM
[ast].[Structure] c1
WHERE
c1.parentid IS NULL
UNION ALL
SELECT
c2.structureid, c2.parentid, c2.Text,
[level] = tree.[level] + 1,
Path = CAST(tree.path + '/' + RIGHT('000000000' + CAST(c2.structureid AS VARCHAR(10)), 10) AS VARCHAR(100)),
pathindex = 0, numericalMapping = '0.0'
FROM
[ast].[Structure] c2
INNER JOIN
tree ON tree.structureid = c2.parentid
)
SELECT
tree.level, tree.path, tree.parentid,
REPLICATE(' ', tree.level - 1) + tree.Text AS description,
C.* ,
RANK() OVER (PARTITION BY tree.parentId ORDER BY tree.parentId) AS indx
FROM
tree
INNER JOIN
[ast].[Value] AS C ON tree.structureid = C.structureid
ORDER BY
InstanceId, path
input Tables:
table 1
ValueId InstanceId StructureId ChoiceId Score
622 205 580 30 3
623 205 581 30 3
624 205 582 30 3
625 205 583 NULL NULL
626 205 584 NULL NULL
627 205 585 NULL NULL
628 205 586 NULL 5
629 205 587 NULL 5
630 205 588 NULL 5
631 205 589 40 4
632 205 590 NULL NULL
633 205 591 NULL NULL
table 2
StructureId AssessmentId ParentId Required Sequence Text Objective
580 127 NULL 1 0 Customer Satisfaction NULL
581 127 580 1 1 Top Customers NULL
582 127 580 1 1 Customer Feedback Process NULL
583 127 NULL 1 0 Continuous Improvement NULL
584 127 583 1 0 Gemba NULL
585 127 583 1 0 Real-Time Status NULL
586 127 583 -1 -1 TPM NULL
587 127 586 -1 0 Cleaning and Inspection NULL
588 127 586 1 1 Eliminate Contamination NULL
589 127 588 1 0 Test NULL
590 127 NULL 0 0 SAP Mii NULL
591 127 590 0 0 Dispatch Reports NULL
enter image description here
table 1
enter image description here
table 2
Note:
I want to have one more column which will tell the index of each record.
example : 1,2,3
if there are children in 1 then 1.01, 1.02 and so on
I am trying to obtain "pairs" of records and I just cant figure out.
Here is what I have:
Id TruckId LocationId MaterialMode
145223 1198 19 43
145224 1199 19 43
145225 1200 19 43
145226 1198 20 43
145227 1199 20 43
145228 1200 20 43
145229 1199 21 46
145230 1198 21 46
145231 1200 21 46
145232 1198 22 46
145233 1199 22 46
145234 1200 22 46
145235 1198 19 43
145236 1199 19 43
145237 1200 19 43
145238 1198 20 43
145239 1199 20 43
145240 1200 20 43
145241 1199 21 46
145242 1198 21 46
145243 1200 21 46
145244 1198 22 46
145245 1199 22 46
145246 1200 22 46
I need to get the following:
Id A Id B
145223 145226
145224 145227
145225 145228
145229 145233
145230 145232
145231 145234
145235 145238
145236 145239
145237 145240
145241 145245
145242 145244
145243 145246
Basically matching a TruckId between 2 locations under the same material mode
I have tried:
SELECT
Id AS IdA,
Lead(Id, 1, NULL) OVER(PARTITION BY TruckId, MaterialMode ORDER BY Date) AS IdB
FROM T
This produces:
Id A Id B
145223 145226
145224 145227
145225 145228
*145226 145235
*145227 145236
*145228 145237
145229 145233
145230 145232
145231 145234
*145232 145242
*145233 145241
*145234 145243
145235 145238
145236 145239
145237 145240
145241 145245
145242 145244
145243 145246
Records with the * I don't want them. If a pair is matched then that record should not be part of "another match"
I believe I understand your problem and below is a solution.
Explanation: I sorted the data rows into start and end points sets like in gap and islands problems and then joined a start id with end id for same material mode and truck.
; with separationSet as
(
select
*,
dense_rank()
over(
partition by materialmode,truckid
order by locationid asc
) as r
from T
)
, scoredSet as
(
select
*,
row_number()
over(
partition by materialmode,truckid,r
order by id
) as r2
from separationSet
)
, startToEndPairs as
(
select
S.id as StartId,
E.id as EndId
from scoredSet S
join scoredSet E
on S.r=1 and E.r=2
and S.r2=E.r2
and S.TruckId=E.TruckId
and S.materialmode=E.materialmode
)
select
*
from starttoEndPairs
order by StartId asc
See working demo
I've seen a lot of "Pivot, No Agg" posts, but all of them seem to involve some pretty simple data to pivot, so the solutions work fairly well and easily. But how about when the data isn't as simple?
I'd like to turn this:
wwnID Tenant WeekOfTheMonth ReportingDate TotalEmployeesPerBranch TotalOpenCount TotalClosedCount OpenCount_TitleAndEscrow ClosedCount_TitleAndEscrow OpenCount_EscrowOnly ClosedCount_EscrowOnly OpenCount_PreListingTask ClosedCount_PreListingTask OFPE CFPE OpenCount_TitleOnly ClosedCount_TitleOnly CurrentBusinessDay TotalBusinessDaysMTD ReportingDateId CreatedDate
----------- -------------------------------------------------- -------------- ----------------------- --------------------------------------- -------------- ---------------- ------------------------ -------------------------- -------------------- ---------------------- ------------------------ -------------------------- --------------------------------------- --------------------------------------- ------------------- --------------------- ------------------ -------------------- --------------- -----------------------
3 King 1 2014-08-08 00:00:00.000 144.00 235 0 137 0 64 0 34 0 4.81 0.00 270 0 7 21 411 2014-09-05 08:53:11.313
5 King 2 2014-08-15 00:00:00.000 150.00 399 0 224 0 112 0 63 0 4.62 0.00 524 0 12 21 412 2014-09-05 08:53:19.573
7 King 3 2014-08-22 00:00:00.000 150.00 584 0 335 0 159 0 90 0 4.76 0.00 721 0 17 21 413 2014-09-05 08:53:26.980
9 King 4 2014-08-31 00:00:00.000 150.00 797 0 436 0 226 0 135 0 5.18 0.00 946 0 21 21 414 2014-09-05 08:53:35.593
4 Pierce 1 2014-08-08 00:00:00.000 21.00 85 0 31 0 39 0 15 0 12.00 0.00 54 0 7 21 411 2014-09-05 08:53:11.670
6 Pierce 2 2014-08-15 00:00:00.000 22.00 160 0 62 0 74 0 24 0 12.41 0.00 83 0 12 21 412 2014-09-05 08:53:20.000
8 Pierce 3 2014-08-22 00:00:00.000 22.00 222 0 82 0 107 0 33 0 12.41 0.00 127 0 17 21 413 2014-09-05 08:53:27.407
10 Pierce 4 2014-08-31 00:00:00.000 23.00 272 0 99 0 130 0 43 0 10.96 0.00 159 0 21 21 414 2014-09-05 08:53:36.063
into this:
Data Types Week 1 Week 2 Week 3 Week 4
------------------------------- ----------- ----------- ----------- -----------
Tenant King King King King
ReportingDate 8/8/2014 8/15/2014 8/22/2014 8/31/2014
TotalEmployeesPerBranch 144 150 150 150
TotalOpenCount 235 399 584 797
TotalClosedCount 0 0 0 0
OpenCount_TitleAndEscrow 137 224 335 436
ClosedCount_TitleAndEscrow 0 0 0 0
OpenCount_EscrowOnly 64 112 159 226
ClosedCount_EscrowOnly 0 0 0 0
OpenCount_PreListingTask 34 63 90 135
ClosedCount_PreListingTask 0 0 0 0
OFPE 4.81 4.62 4.76 5.18
CFPE 0 0 0 0
OpenCount_TitleOnly 270 524 721 946
ClosedCount_TitleOnly 0 0 0 0
CurrentBusinessDay 7 12 17 21
TotalBusinessDaysMTD 21 21 21 21
ReportingDateId 411 412 413 414
CreatedDate 9/5/2014 9/5/2014 9/5/2014 9/5/2014
Tenant Pierce Pierce Pierce Pierce
ReportingDate 8/8/2014 8/15/2014 8/22/2014 8/31/2014
TotalEmployeesPerBranch 21 22 22 23
TotalOpenCount 85 160 222 272
TotalClosedCount 0 0 0 0
OpenCount_TitleAndEscrow 31 62 82 99
ClosedCount_TitleAndEscrow 0 0 0 0
OpenCount_EscrowOnly 39 74 107 130
ClosedCount_EscrowOnly 0 0 0 0
OpenCount_PreListingTask 15 24 33 43
ClosedCount_PreListingTask 0 0 0 0
OFPE 12 12.41 12.41 10.96
CFPE 0 0 0 0
OpenCount_TitleOnly 54 83 127 159
ClosedCount_TitleOnly 0 0 0 0
CurrentBusinessDay 7 12 17 21
TotalBusinessDaysMTD 21 21 21 21
ReportingDateId 411 412 413 414
CreatedDate 9/5/2014 9/5/2014 9/5/2014 9/5/2014
I've tried several methods of pivoting, and none of them seem to do the trick, but if anyone out there knows a way to do it, that'd be fantastic!
Thanks ahead of time!
UPDATE
This works beautifully! (initial variable declarations are for the where clause toward the end)
DECLARE #ReportDate DATETIME = '2014-08-31';
DECLARE #RepDateId INT = ( SELECT MAX([WRD].[ReportingDateID])
FROM [SMS].[dbo].[WSOBReportingDates] AS WRD
WHERE ( [WRD].[ReportingDate] <= #ReportDate )
AND ( [WRD].[Submitted] = 1 ) );
DECLARE #WSOBRepDate DATETIME = ( SELECT [WRD].[ReportingDate]
FROM [SMS].[dbo].[WSOBReportingDates] AS WRD
WHERE [WRD].[ReportingDateID] = #RepDateId );
DECLARE #WSOBStartDate DATETIME = DATEADD(mm, DATEDIFF(mm, 0, #WSOBRepDate), 0);
SELECT Datatype
, MAX(CASE WHEN WeekOfTheMonth = 1 THEN value ELSE '0' END) Week1
, MAX(CASE WHEN WeekOfTheMonth = 2 THEN value ELSE '0' END) Week2
, MAX(CASE WHEN WeekOfTheMonth = 3 THEN value ELSE '0' END) Week3
, MAX(CASE WHEN WeekOfTheMonth = 4 THEN value ELSE '0' END) Week4
FROM ( SELECT WeekOfTheMonth
, DataType
, Value
, SortOrder
, Sequence = ROW_NUMBER() OVER ( PARTITION BY WeekOfTheMonth ORDER BY wwnId )
FROM [dbo].[SSRS_WSOBWeeklyNumbers] AS SWWN
CROSS APPLY ( SELECT 'Tenant'
, [SWWN].[Tenant]
, 1
UNION ALL
SELECT 'ReportingDate'
, CONVERT(VARCHAR(10), [SWWN].[ReportingDate], 120)
, 2
UNION ALL
SELECT 'TotalEmployeesPerBranch'
, CAST([SWWN].[TotalEmployeesPerBranch] AS VARCHAR(10))
, 3
UNION ALL
SELECT 'TotalOpenCount'
, CAST([SWWN].[TotalOpenCount] AS VARCHAR(10))
, 4
UNION ALL
SELECT 'TotalClosedCount'
, CAST([SWWN].[TotalClosedCount] AS VARCHAR(10))
, 5
UNION ALL
SELECT 'OpenCount_TitleAndEscrow'
, CAST([SWWN].[OpenCount_TitleAndEscrow] AS VARCHAR(10))
, 6
UNION ALL
SELECT 'ClosedCount_TitleAndEscrow'
, CAST([SWWN].[ClosedCount_TitleAndEscrow] AS VARCHAR(10))
, 7
UNION ALL
SELECT 'OpenCount_EscrowOnly'
, CAST([SWWN].[OpenCount_EscrowOnly] AS VARCHAR(10))
, 8
UNION ALL
SELECT 'ClosedCount_EscrowOnly'
, CAST([SWWN].[ClosedCount_EscrowOnly] AS VARCHAR(10))
, 9
UNION ALL
SELECT 'OpenCount_PreListingTask'
, CAST([SWWN].[OpenCount_PreListingTask] AS VARCHAR(10))
, 10
UNION ALL
SELECT 'ClosedCount_PreListingTask'
, CAST([SWWN].[ClosedCount_PreListingTask] AS VARCHAR(10))
, 11
UNION ALL
SELECT 'OFPE'
, CAST([SWWN].[OFPE] AS VARCHAR(10))
, 12
UNION ALL
SELECT 'CFPE'
, CAST([SWWN].[CFPE] AS VARCHAR(10))
, 13
UNION ALL
SELECT 'OpenCount_TitleOnly'
, CAST([SWWN].[OpenCount_TitleOnly] AS VARCHAR(10))
, 14
UNION ALL
SELECT 'ClosedCount_TitleOnly'
, CAST([SWWN].[ClosedCount_TitleOnly] AS VARCHAR(10))
, 15
UNION ALL
SELECT 'CurrentBusinessDay'
, CAST([SWWN].[CurrentBusinessDay] AS VARCHAR(10))
, 16
UNION ALL
SELECT 'TotalBusinessDaysForMonth'
, CAST([SWWN].[TotalBusinessDaysMTD] AS VARCHAR(10))
, 17
UNION ALL
SELECT 'ReportingDateId'
, CAST([SWWN].[ReportingDateId] AS VARCHAR(10))
, 18
UNION ALL
SELECT 'CreatedDate'
, CAST([SWWN].[CreatedDate] AS VARCHAR(10))
, 19 ) c ( DataType, Value, SortOrder )
WHERE [SWWN].[ReportingDate] BETWEEN #WSOBStartDate AND #ReportDate ) d
GROUP BY DataType
, Sequence
, SortOrder
ORDER BY Sequence
, SortOrder;
and results in:
Datatype Week1 Week2 Week3 Week4
-------------------------- -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- --------------------------------------------------
Tenant King King King King
ReportingDate 2014-08-08 2014-08-15 2014-08-22 2014-08-31
TotalEmployeesPerBranch 144.00 150.00 150.00 150.00
TotalOpenCount 235 399 584 797
TotalClosedCount 0 0 0 0
OpenCount_TitleAndEscrow 137 224 335 436
ClosedCount_TitleAndEscrow 0 0 0 0
OpenCount_EscrowOnly 64 112 159 226
ClosedCount_EscrowOnly 0 0 0 0
OpenCount_PreListingTask 34 63 90 135
ClosedCount_PreListingTask 0 0 0 0
OFPE 4.81 4.62 4.76 5.18
CFPE 0.00 0.00 0.00 0.00
OpenCount_TitleOnly 270 524 721 946
ClosedCount_TitleOnly 0 0 0 0
CurrentBusinessDay 7 12 17 21
TotalBusinessDaysForMonth 21 21 21 21
ReportingDateId 411 412 413 414
CreatedDate Sep 5 201 Sep 5 201 Sep 5 201 Sep 5 201
Tenant Pierce Pierce Pierce Pierce
ReportingDate 2014-08-08 2014-08-15 2014-08-22 2014-08-31
TotalEmployeesPerBranch 21.00 22.00 22.00 23.00
TotalOpenCount 85 160 222 272
TotalClosedCount 0 0 0 0
OpenCount_TitleAndEscrow 31 62 82 99
ClosedCount_TitleAndEscrow 0 0 0 0
OpenCount_EscrowOnly 39 74 107 130
ClosedCount_EscrowOnly 0 0 0 0
OpenCount_PreListingTask 15 24 33 43
ClosedCount_PreListingTask 0 0 0 0
OFPE 12.00 12.41 12.41 10.96
CFPE 0.00 0.00 0.00 0.00
OpenCount_TitleOnly 54 83 127 159
ClosedCount_TitleOnly 0 0 0 0
CurrentBusinessDay 7 12 17 21
TotalBusinessDaysForMonth 21 21 21 21
ReportingDateId 411 412 413 414
CreatedDate Sep 5 201 Sep 5 201 Sep 5 201 Sep 5 201
Thanks tons for the answer!
You'll need to UNPIVOT all those columns first, then convert your Weeks into new columns. But in order to UNPIVOT the data, you'll have to convert all of the data types to be the same.
Since you are using SQL Server 2008, you can use CROSS APPLY to unpivot. The basic syntax will be:
select
WeekOfTheMonth,
DataType,
Value
from yourtable
cross apply
(
select 'Tenant', Tenant union all
select 'ReportingDate', convert(varchar(10), ReportingDate, 120) union all
select 'TotalEmployeesPerBranch', cast(TotalEmployeesPerBranch as varchar(10)) union all
select 'TotalOpenCount', cast(TotalOpenCount as varchar(10)) union all
select 'TotalClosedCount', cast(TotalClosedCount as varchar(10)) union all
select 'OpenCount_TitleAndEscrow', cast(OpenCount_TitleAndEscrow as varchar(10)) union all
select 'ClosedCount_TitleAndEscrow', cast(ClosedCount_TitleAndEscrow as varchar(10)) union all
select 'OpenCount_EscrowOnly', cast(OpenCount_EscrowOnly as varchar(10)) union all
select 'ClosedCount_EscrowOnly', cast(ClosedCount_EscrowOnly as varchar(10)) union all
select 'OpenCount_PreListingTask', cast(OpenCount_PreListingTask as varchar(10))
--- union all more columns
) c (DataType, value);
See SQL Fiddle with Demo. Then you'd apply the PIVOT to your Weeks:
select DataType,
Week1 = [1],
Week2 = [2],
Week3 = [3],
Week4 = [4]
from
(
select
WeekOfTheMonth,
DataType,
Value,
so,
seq = row_number() over(partition by WeekOfTheMonth order by wwnId)
from yourtable
cross apply
(
select 'Tenant', Tenant, 1 union all
select 'ReportingDate', convert(varchar(10), ReportingDate, 120), 2 union all
select 'TotalEmployeesPerBranch', cast(TotalEmployeesPerBranch as varchar(10)), 3 union all
select 'TotalOpenCount', cast(TotalOpenCount as varchar(10)), 4 union all
select 'TotalClosedCount', cast(TotalClosedCount as varchar(10)), 5 union all
select 'OpenCount_TitleAndEscrow', cast(OpenCount_TitleAndEscrow as varchar(10)), 6 union all
select 'ClosedCount_TitleAndEscrow', cast(ClosedCount_TitleAndEscrow as varchar(10)), 7 union all
select 'OpenCount_EscrowOnly', cast(OpenCount_EscrowOnly as varchar(10)),8 union all
select 'ClosedCount_EscrowOnly', cast(ClosedCount_EscrowOnly as varchar(10)), 9 union all
select 'OpenCount_PreListingTask', cast(OpenCount_PreListingTask as varchar(10)), 10
) c (DataType, value, so)
) d
pivot
(
max(value)
for WeekOfTheMonth in ([1], [2], [3], [4])
)p
order by seq, so
See SQL Fiddle with Demo.
Or you can use an aggregate function to create the new columns:
select Datatype,
max(case when WeekOfTheMonth = 1 then value else '0' end) Week1,
max(case when WeekOfTheMonth = 2 then value else '0' end) Week2,
max(case when WeekOfTheMonth = 3 then value else '0' end) Week3,
max(case when WeekOfTheMonth = 4 then value else '0' end) Week4
from
(
select
WeekOfTheMonth,
DataType,
Value,
so,
seq = row_number() over(partition by WeekOfTheMonth order by wwnId)
from yourtable
cross apply
(
select 'Tenant', Tenant, 1 union all
select 'ReportingDate', convert(varchar(10), ReportingDate, 120), 2 union all
select 'TotalEmployeesPerBranch', cast(TotalEmployeesPerBranch as varchar(10)), 3 union all
select 'TotalOpenCount', cast(TotalOpenCount as varchar(10)), 4 union all
select 'TotalClosedCount', cast(TotalClosedCount as varchar(10)), 5 union all
select 'OpenCount_TitleAndEscrow', cast(OpenCount_TitleAndEscrow as varchar(10)), 6 union all
select 'ClosedCount_TitleAndEscrow', cast(ClosedCount_TitleAndEscrow as varchar(10)), 7 union all
select 'OpenCount_EscrowOnly', cast(OpenCount_EscrowOnly as varchar(10)),8 union all
select 'ClosedCount_EscrowOnly', cast(ClosedCount_EscrowOnly as varchar(10)), 9 union all
select 'OpenCount_PreListingTask', cast(OpenCount_PreListingTask as varchar(10)), 10
) c (DataType, value, so)
) d
group by datatype, seq, so
order by seq, so
See SQL Fiddle with Demo
I have four tables in the database as follows:
tblInvoice:
invcid,customerid,invoicedate
tblInvcDetail:
ID,invcid,item,itemprice,itemquantity
tblPay:
payid,invcid,paydate
tblPayDetail:
payid,amount
I need to create a list of invoiceid, invoicedate, (sum of itemprice*itemquantity), (sum of amount) where userid is given.
I tried this query:
SELECT tblinvoice.invcid,
tblinvoice.invcdate,
Sum(tblinvcdetail.itemprice * tblinvcdetail.itemquantity) AS SumOfInvoice,
Sum(tblpaydetail.amount) AS SumOfAmount
FROM ((tblinvoice
LEFT JOIN tblpay
ON tblinvoice.invcid = tblpay.invcid)
LEFT JOIN tblinvcdetail
ON tblinvoice.invcid = tblinvcdetail.invcid)
LEFT JOIN tblpaydetail
ON tblpay.payid = tblpaydetail.payid
GROUP BY tblinvoice.invcid,
tblinvoice.invcdate;
But the result is not quite correct
Please help me.
Thanks a lot.
Sample data:
tblInvoice:
invcid customerid invcdate |invcsum(manualy calculated)
18 8 6/30/2012 |$140,000
39 8 7/12/2012 |$170,000
40 8 7/12/2012 |$80,000
43 8 7/14/2012 |$80,000
44 8 7/14/2012 |$80,000
45 8 7/15/2012 |$700,000
46 8 7/17/2012 |$180,000
tblInvcDetail:
ID invccid itemname itemprice itemquantity
19 18 X $70,000 2
92 39 Y $80,000 1
93 39 Z $90,000 1
94 40 Y $80,000 1
97 43 Y $80,000 1
98 44 Y $80,000 1
99 45 W $700,000 1
100 46 Y $80,000 1
101 46 U $100,000 1
tblPay:
payid invcid paydate |AmountSUM(Manually Calculated)
35 18 7/11/2012 |$120,000
40 18 7/12/2012 |$147,000
41 40 7/12/2012 |$84,000
44 44 7/14/2012 |$84,000
46 45 7/15/2012 |$700,000
tblPayDetail:
payid amount
35 $100,000
35 $20,000
40 $147,000
41 $84,000
44 $84,000
46 $700,000
And finally the query result is:
invcid invcdate SumOfInvoice SumOfAmount
18 6/30/2012 $420,000.00 $267,000.00
39 7/12/2012 $170,000.00
40 7/12/2012 $80,000.00 $84,000.00
43 7/14/2012 $80,000.00
44 7/14/2012 $80,000.00 $84,000.00
45 7/15/2012 $700,000.00 $700,000.00
46 7/17/2012 $180,000.00
You can see that the calculation is wrong in the first row (SumOfInvoice column)
and the rest is correct!
How about:
SELECT a.invcid,
a.invcdate,
a.sumofinvoice,
b.sumofamount
FROM (SELECT ti.invcid,
ti.invcdate,
SUM(td.itemprice * td.itemquantity) AS SumOfInvoice
FROM tblinvoice AS ti
LEFT JOIN tblinvcdetail AS td
ON ti.invcid = td.invcid
GROUP BY ti.invcid,
ti.invcdate) a
LEFT JOIN (SELECT tp.invcid,
SUM(tpd.amount) AS SumOfAmount
FROM tblpay AS tp
LEFT JOIN tblpaydetail AS tpd
ON tp.payid = tpd.payid
GROUP BY tp.invcid) b
ON a.invcid = b.invcid
I have a created a few tables containing multiple records from several users so I can simulate circumstances.
I created the following query:
SELECT
a.celid, a.callid, a.active, a.messagetext,
b.jactive, a.cel_time, c.username, a.muserid
FROM level2 a, calls b , login c
WHERE a.callid = b.jid
AND a.muserid = c.loginid
AND b.jid = 92
AND a.win = 0
AND b.userid = 12
ORDER BY
cel_time ASC
and got the following as result
545 92 2 hello1 2 2011-09-18 16:32:17.000 phil01 21
546 92 1 hello2 2 2011-09-18 16:42:38.000 phil01 21
547 92 2 hello3 2 2011-09-18 16:59:08.000 danny 16
548 92 1 hello4 2 2011-09-18 20:46:21.000 phil01 21
549 92 1 hello5 2 2011-09-18 20:47:16.000 phil01 21
550 92 1 hello6 2 2011-09-19 19:32:15.000 phil01 21
551 92 1 hello7 2 2011-09-19 19:34:14.000 phil01 21
but I actually want this result to be distinct on muserid and return only return two rows.
I have studied distinct value description but can not seem to get this accomplished.
How would I accomplish this?
Use this SQL:
SELECT
a.celid, a.callid, a.active, a.messagetext,
b.jactive, a.cel_time, c.username, a.muserid
FROM level2 a
JOIN calls b ON a.callid = b.jid
JOIN login c ON a.muserid = c.loginid
JOIN
(SELECT l2.muserid, MAX(l2.cel_time) as max_time
FROM level2 l2
GROUP BY l2.muserid) d ON (d.muserid = a.muserid AND a.cel_time = d.max_time)
WHERE b.jid = 92
AND a.win = 0
AND b.userid = 12