Report is showing dupilcate records in Excel and correct records in PDF.

Hi,
I have a problem, when i run the query of report in toad then count is 24 and same records are coming in PDF, RTF and HTML format but some duplicate records come when same report is run in excel or delimited format.

This is bcoz you don't have all the common fields in your infocubes.
Job is the only filed common in the infocube.
Some Characteristics like project is only available in one Cube, similarly and qualification field is only available in other Cube.
If a Multiprovider is created on top of these two infocubes. Common chars are identified from both cubes; others can be identified only from the respective cubes.
When we build a query on this Multiprovider, keeping a char which is not part of both cubes will create an other line with # or NA values present in that column.
In the query designer create a new selection on the KF.
Inside that, maintain description and drag the keyfigure from left pane to selection pane, drag characteristic "jobu201D into the selection. In the context menu of job, choose u201Cconstant selectionu201D option.
repeat the same for all the KFs.
for more details chk the below link
http://www.sdn.sap.com/irj/scn/go/portal/prtroot/docs/library/uuid/70dcd7b5-6a3d-2d10-c984-e835e37071a2?quicklink=index&overridelayout=true
Regards
KP

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Step TINYINT)
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> I provided the example above as a slightly simplified version of what I'm working on
Not good, you should provide a something closer to what you are working on.
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('Client B', '01-06-2014', 2) 2    0
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SET NOCOUNT ON;
USE tempdb;
GO
CREATE TABLE #events (
EventID INT IDENTITY(1, 1),
Client VARCHAR(10),
RecordTimestamp DATETIME,
Step tinyint,
UNIQUE CLUSTERED (Client, RecordTimestamp, Step)
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RecordTimestamp,
Step)
VALUES
('Client A', '01-01-2014', 10),
('Client A', '01-02-2014', 20),
('Client A', '01-03-2014', 30),
('Client A', '01-04-2014', 40),
('Client A', '01-05-2014', 10),
('Client A', '01-06-2014', 20),
('Client B', '01-04-2014', 10),
('Client B', '01-06-2014', 20);
SELECT *
FROM #events
ORDER BY RecordTimestamp, Client
GO
WITH C1 AS (
SELECT
ROW_NUMBER() OVER(PARTITION BY Client ORDER BY RecordTimestamp, Step) AS rn1
FROM
#events
C2 AS (
SELECT
ROW_NUMBER() OVER(PARTITION BY Client, (rn1 - 1) / 4 ORDER BY rn1 DESC) AS rn2
FROM
C1
SELECT
EventID,
Client,
RecordTimestamp,
Step
FROM
C2
WHERE
rn2 = 1 AND Step < 40;
GO
DROP TABLE #events;
GO
If you can have 8 steps and the maximum one is 80 then the logic should be:
SET NOCOUNT ON;
USE tempdb;
GO
CREATE TABLE #events (
EventID INT IDENTITY(1, 1),
Client VARCHAR(10),
RecordTimestamp DATETIME,
Step tinyint,
UNIQUE CLUSTERED (Client, RecordTimestamp, Step)
INSERT INTO #events (Client,
RecordTimestamp,
Step)
VALUES
('Client A', '01-01-2014', 10),
('Client A', '01-02-2014', 20),
('Client A', '01-03-2014', 30),
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('Client A', '01-07-2014', 70),
('Client A', '01-08-2014', 80),
('Client A', '01-09-2014', 10),
('Client A', '01-10-2014', 20),
('Client B', '01-04-2014', 10),
('Client B', '01-06-2014', 20);
SELECT *
FROM #events
ORDER BY RecordTimestamp, Client
GO
WITH C1 AS (
SELECT
ROW_NUMBER() OVER(PARTITION BY Client ORDER BY RecordTimestamp, Step) AS rn1
FROM
#events
C2 AS (
SELECT
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FROM
C1
SELECT
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DROP TABLE #events;
GO
If you want to show the last non-completed group for each client and from there the first and last steps then try:
SET NOCOUNT ON;
USE tempdb;
GO
CREATE TABLE #events (
EventID INT IDENTITY(1, 1),
Client VARCHAR(10),
RecordTimestamp DATETIME,
Step tinyint
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RecordTimestamp,
Step)
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('Client A', '01-10-2014', 20),
('Client A', '01-11-2014', 30),
('Client B', '01-04-2014', 10),
('Client B', '01-06-2014', 20);
SELECT *
FROM #events
ORDER BY RecordTimestamp, Client
GO
WITH C1 AS (
SELECT
ROW_NUMBER() OVER(PARTITION BY Client ORDER BY RecordTimestamp, Step) AS rn1
FROM
#events
C2 AS (
SELECT
DENSE_RANK() OVER(PARTITION BY Client ORDER BY (rn1 - 1) / 8 DESC) AS grp,
ROW_NUMBER() OVER(PARTITION BY Client, (rn1 - 1) / 8 ORDER BY rn1) AS rn2,
ROW_NUMBER() OVER(PARTITION BY Client, (rn1 - 1) / 8 ORDER BY rn1 DESC) AS rn3
FROM
C1
SELECT
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Client,
RecordTimestamp,
Step
FROM
C2
WHERE
grp = 1 AND 1 IN (rn2, rn3) AND Step < 80
ORDER BY
Client,
EventID;
GO
DROP TABLE #events;
GO
If you check the execution plan you will notice several SORT operators which could yield poor performance. We could try using an intermediate table and adding a POC (partition / ordering / covering - idea from ITzik Ben-Gan) index to improve it.
Does this help?
AMB
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