How to convert row data into columns without using pivot table?
Hello guys
I have a report that has several columns about sales call type and call counts
It looks like this:
Calls Type Call Counts
Missed 200
Handled 3000000
Rejected 40000
Dropped 50000
Now I wanna create a report that look like this:
Missed call counts Handled Call counts Rejected Counts Drop counts Other Columns
200 300000000 40000 50000 Data
So that I can perform other calculations on the difference and comparison of handled calls counts vs other call counts..
I know pivot table view can make the report look like in such way, but they cant do further calculations on that..
So I need to create new solid columns that capture call counts based on call types..
How would I be able to do that on Answers? I don't have access to the RPD, so is it possible to do it sololy on answers? Or should I just ask ETL support on this?
Any pointers will be deeply appreciated!
Thank you
Thanks MMA
I followed your guidance and I was able to create a few new columns of call missed count, call handled counts and call abandoned counts.. Then I create new columns of ave missed counts, ave handled counts and so forth..
Then I went to the pivot view, I realized there is a small problem.. Basically the report still includes the column "call types" which has 3 different types of call "miss, abandon and handled". When I exclude this column in my report, the rest of the measures will return wrong values. When I include this column in the report, it shows duplicate values by 3 rows. It looks like this:
Queue name Call types Call handled Call missed Call abondoned
A Miss 8 10 15
A Handled 8 10 15
A Abandoned 8 10 15
in pivot table view, if I move call type to column area, the resulted measures will become 8X3, 10X3 and 15X3
So is there a way to eliminate duplicate rows or let the system know not to mulitply by 3?
Or is this as far as presentation service can go in terms of this? Or should I advice to provide better data from the back end?
Please let me know, thanks
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Row data to column conversion (Using PiVOT)
Hi,
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Query with sample data: -
WITH data1(col_name,col_value) AS
SELECT 'Bike','Honda' FROM dual UNION ALL
SELECT 'Model','Zmr' FROM dual UNION ALL
SELECT 'Count','40' FROM dual UNION ALL
SELECT 'Bike','Yamaha' FROM dual UNION ALL
SELECT 'Model','R1' FROM dual UNION ALL
SELECT 'Count','45' FROM dual UNION ALL
SELECT 'Bike','Ducati' FROM dual UNION ALL
SELECT 'Model','Xxx' FROM dual UNION ALL
SELECT 'Count','25' FROM dual
SELECT * from data1
PIVOT ( MIN(col_value) -- checked:
FOR col_name IN ('Bike' As "BiKe", 'Model' AS "MoDeL", 'Count' "CNT")
-- I can use only aggregate functions here to get the result as expected, but it shows me one record( also not correctly)
Expected Output:-
BiKe MoDeL CNT
Honda Zmr 40
Yamaha R1 45
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something like this assuming u have something in order.
WITH data1 (col_name, col_value) AS
(SELECT 'Bike', 'Honda' FROM DUAL
UNION ALL
SELECT 'Model', 'Zmr' FROM DUAL
UNION ALL
SELECT 'Count', '40' FROM DUAL
UNION ALL
SELECT 'Bike', 'Yamaha' FROM DUAL
UNION ALL
SELECT 'Model', 'R1' FROM DUAL
UNION ALL
SELECT 'Count', '45' FROM DUAL
UNION ALL
SELECT 'Bike', 'Ducati' FROM DUAL
UNION ALL
SELECT 'Model', 'Xxx' FROM DUAL
UNION ALL
SELECT 'Count', '25' FROM DUAL)
SELECT bike, model, cnt
FROM (SELECT col_name,
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t model,
LEAD (t, 1, NULL) OVER (PARTITION BY 1 ORDER BY 1) cnt
FROM (SELECT a.*,
LEAD (col_value, 1, NULL)
OVER (PARTITION BY 1 ORDER BY 1)
t
FROM data1 a) a)
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BIKE MODEL CNT
Honda Zmr 40
Yamaha R1 45
Ducati Xxx 25Cheers,
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1 PROJ1 1 AA 100 PR1_TASK1
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1 PROJ1 5 EE 104 PR1_TASK5
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2 PROJ2 6 FF 115 PR2_TASK2
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2 PROJ2 8 HH 117 PR2_TASK4
2 PROJ2 9 JJ 118 PR2_TASK5
2 PROJ2 10 KK 119 PR2_TASK6
2 PROJ2 1 AA 120 PR2_TASK7
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project AA BB CC DD EE FF GG HH JJ KK
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FROM DUAL
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FROM DUAL
UNION
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FROM DUAL
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FROM DUAL
UNION
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FROM DUAL
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0) FF,
NVL((SELECT mid
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0) GG,
NVL((SELECT mid
FROM t1
WHERE miname = 'HH'
AND id = t_out.id),
0) HH,
NVL((SELECT mid
FROM t1
WHERE miname = 'JJ'
AND id = t_out.id),
0) JJ,
NVL((SELECT mid
FROM t1
WHERE miname = 'KK'
AND id = t_out.id),
0) KK
FROM (SELECT DISTINCT id FROM t1) t_out
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Euthanise 159 203 188 252 376 501 393 315 304 276 212 207 3386
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Intake 268 286 274 315 594 567 488 397 329 344 279 249 4390
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Intake 594 510 480 477 508 520 553 502 509 544 410 480 6087
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<header>2006 - CAT</header>
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<imonth>1</imonth>
<cue>Euthanise</cue>
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<header>2006 - CAT</header>
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<anicnt>192.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Redeem</cue>
<anicnt>10.0</anicnt>
</ROW>
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<header>2006 - CAT</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Euthanise</cue>
<anicnt>203.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Intake</cue>
<anicnt>220.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>February</MNTH>
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<header>2006 - CAT</header>
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<header>2006 - CAT</header>
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<header>2006 - CAT</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Redeem</cue>
<anicnt>4.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Rescue</cue>
<anicnt>2.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Euthanise</cue>
<anicnt>252.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Intake</cue>
<anicnt>305.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Redeem</cue>
<anicnt>3.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Rescue</cue>
<anicnt>10.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Euthanise</cue>
<anicnt>376.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Intake</cue>
<anicnt>412.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Redeem</cue>
<anicnt>5.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Euthanise</cue>
<anicnt>501.0</anicnt>
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- <ROW>
<header>2006 - CAT</header>
<MNTH>June</MNTH>
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<cue>Intake</cue>
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- <ROW>
<header>2006 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Redeem</cue>
<anicnt>3.0</anicnt>
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- <ROW>
<header>2006 - CAT</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Euthanise</cue>
<anicnt>393.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Intake</cue>
<anicnt>409.0</anicnt>
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- <ROW>
<header>2006 - CAT</header>
<MNTH>July</MNTH>
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<cue>Redeem</cue>
<anicnt>2.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>August</MNTH>
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<cue>Euthanise</cue>
<anicnt>315.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Intake</cue>
<anicnt>330.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>August</MNTH>
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<anicnt>1.0</anicnt>
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<header>2006 - CAT</header>
<MNTH>August</MNTH>
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<header>2006 - CAT</header>
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- <ROW>
<header>2006 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Euthanise</cue>
<anicnt>276.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Intake</cue>
<anicnt>305.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Redeem</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Rescue</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Euthanise</cue>
<anicnt>212.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Intake</cue>
<anicnt>244.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Redeem</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Euthanise</cue>
<anicnt>207.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Intake</cue>
<anicnt>241.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Redeem</cue>
<anicnt>5.0</anicnt>
</ROW>
- <ROW>
<header>2006 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Rescue</cue>
<anicnt>4.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Euthanise</cue>
<anicnt>306.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Intake</cue>
<anicnt>455.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Redeem</cue>
<anicnt>65.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Euthanise</cue>
<anicnt>375.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Intake</cue>
<anicnt>514.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Redeem</cue>
<anicnt>63.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Euthanise</cue>
<anicnt>347.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Intake</cue>
<anicnt>495.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Redeem</cue>
<anicnt>57.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Euthanise</cue>
<anicnt>341.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Intake</cue>
<anicnt>465.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Redeem</cue>
<anicnt>34.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Euthanise</cue>
<anicnt>458.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Intake</cue>
<anicnt>571.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Redeem</cue>
<anicnt>57.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Euthanise</cue>
<anicnt>484.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Intake</cue>
<anicnt>595.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Redeem</cue>
<anicnt>43.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Euthanise</cue>
<anicnt>385.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Intake</cue>
<anicnt>486.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Redeem</cue>
<anicnt>58.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Euthanise</cue>
<anicnt>441.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Intake</cue>
<anicnt>570.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Redeem</cue>
<anicnt>46.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Euthanise</cue>
<anicnt>317.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Intake</cue>
<anicnt>438.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Redeem</cue>
<anicnt>58.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Rescue</cue>
<anicnt>3.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Euthanise</cue>
<anicnt>384.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Intake</cue>
<anicnt>511.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Redeem</cue>
<anicnt>67.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Euthanise</cue>
<anicnt>325.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Intake</cue>
<anicnt>434.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Redeem</cue>
<anicnt>53.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Euthanise</cue>
<anicnt>318.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Intake</cue>
<anicnt>473.0</anicnt>
</ROW>
- <ROW>
<header>2006 - DOG</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Redeem</cue>
<anicnt>59.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Euthanise</cue>
<anicnt>223.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Intake</cue>
<anicnt>268.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Redeem</cue>
<anicnt>11.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Rescue</cue>
<anicnt>7.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Euthanise</cue>
<anicnt>265.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Intake</cue>
<anicnt>286.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Redeem</cue>
<anicnt>7.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Euthanise</cue>
<anicnt>229.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Intake</cue>
<anicnt>274.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Redeem</cue>
<anicnt>11.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Euthanise</cue>
<anicnt>275.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Intake</cue>
<anicnt>315.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Redeem</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Euthanise</cue>
<anicnt>569.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Intake</cue>
<anicnt>594.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Redeem</cue>
<anicnt>5.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Euthanise</cue>
<anicnt>508.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Intake</cue>
<anicnt>567.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Redeem</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Euthanise</cue>
<anicnt>451.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Intake</cue>
<anicnt>488.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Rescue</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Euthanise</cue>
<anicnt>359.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Intake</cue>
<anicnt>397.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Redeem</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Euthanise</cue>
<anicnt>310.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Intake</cue>
<anicnt>329.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Redeem</cue>
<anicnt>4.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Euthanise</cue>
<anicnt>318.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Intake</cue>
<anicnt>344.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>October</MNTH>
<imonth>10</imonth>
<cue>Redeem</cue>
<anicnt>3.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Euthanise</cue>
<anicnt>231.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Intake</cue>
<anicnt>279.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Redeem</cue>
<anicnt>16.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>November</MNTH>
<imonth>11</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Euthanise</cue>
<anicnt>225.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Intake</cue>
<anicnt>249.0</anicnt>
</ROW>
- <ROW>
<header>2007 - CAT</header>
<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Redeem</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Euthanise</cue>
<anicnt>436.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Intake</cue>
<anicnt>594.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Redeem</cue>
<anicnt>67.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>January</MNTH>
<imonth>1</imonth>
<cue>Rescue</cue>
<anicnt>2.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Euthanise</cue>
<anicnt>374.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Intake</cue>
<anicnt>510.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Redeem</cue>
<anicnt>72.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>February</MNTH>
<imonth>2</imonth>
<cue>Rescue</cue>
<anicnt>3.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Euthanise</cue>
<anicnt>313.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Intake</cue>
<anicnt>480.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>March</MNTH>
<imonth>3</imonth>
<cue>Redeem</cue>
<anicnt>77.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Euthanise</cue>
<anicnt>343.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Intake</cue>
<anicnt>477.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Redeem</cue>
<anicnt>57.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>April</MNTH>
<imonth>4</imonth>
<cue>Rescue</cue>
<anicnt>1.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Euthanise</cue>
<anicnt>395.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Intake</cue>
<anicnt>508.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>May</MNTH>
<imonth>5</imonth>
<cue>Redeem</cue>
<anicnt>47.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Euthanise</cue>
<anicnt>362.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Intake</cue>
<anicnt>520.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>June</MNTH>
<imonth>6</imonth>
<cue>Redeem</cue>
<anicnt>51.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Euthanise</cue>
<anicnt>422.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Intake</cue>
<anicnt>553.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Redeem</cue>
<anicnt>50.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>July</MNTH>
<imonth>7</imonth>
<cue>Rescue</cue>
<anicnt>4.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Euthanise</cue>
<anicnt>403.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Intake</cue>
<anicnt>502.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>August</MNTH>
<imonth>8</imonth>
<cue>Redeem</cue>
<anicnt>40.0</anicnt>
</ROW>
- <ROW>
<header>2007 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
<cue>Euthanise</cue>
<anicnt>394.0</anicnt>
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<header>2007 - DOG</header>
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<imonth>9</imonth>
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<header>2007 - DOG</header>
<MNTH>September</MNTH>
<imonth>9</imonth>
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<anicnt>41.0</anicnt>
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<anicnt>3.0</anicnt>
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<anicnt>350.0</anicnt>
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<imonth>10</imonth>
<cue>Intake</cue>
<anicnt>544.0</anicnt>
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<imonth>10</imonth>
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<anicnt>62.0</anicnt>
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<anicnt>45.0</anicnt>
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<imonth>12</imonth>
<cue>Intake</cue>
<anicnt>480.0</anicnt>
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<MNTH>December</MNTH>
<imonth>12</imonth>
<cue>Redeem</cue>
<anicnt>45.0</anicnt>
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How to convert blob data into clob using plsql
hi all,
I have requirement to convert blob column into clob .
version details
BANNER
Oracle Database 11g Enterprise Edition Release 11.1.0.7.0 - Production
PL/SQL Release 11.1.0.7.0 - Production
CORE 11.1.0.7.0 Production
TNS for 32-bit Windows: Version 11.1.0.7.0 - Production
NLSRTL Version 11.1.0.7.0 - Production
DECLARE
v_blob temp.blob_column%TYPE;------this is blob data type column contains (CSV file which is inserted from screens)
v_clob CLOB; --i want to copy blob column data into this clob
v_warning NUMBER;
BEGIN
SELECT blob_column
INTO v_blob
FROM temp
WHERE pk = 75000676;
DBMS_LOB.converttoclob (dest_lob => v_clob,
src_blob => v_blob,
amount => DBMS_LOB.lobmaxsize,
dest_offset => 1,
src_offset => 1,
blob_csid => 1, -- what is the use of this parameter
lang_context => 1,
warning => v_warning
DBMS_OUTPUT.put_line (v_warning);
EXCEPTION
WHEN OTHERS
THEN
DBMS_OUTPUT.put_line (SQLCODE);
DBMS_OUTPUT.put_line (SQLERRM);
END;I am not getting what is the use of blob_csid , lang_context parameters after going the trough the documentation .
Any help in this regard would be highly appreciated .......
Thanks
Edited by: prakash on Feb 5, 2012 11:41 PMPost the 4 digit Oracle version.
Did you read the Doc for DBMS_LOB.CONVERTTOCLOB? - http://docs.oracle.com/cd/B28359_01/appdev.111/b28419/d_lob.htm
The function can convert data from one character set to another. If the source data uses a different character set than the target you need to provide the character set id of the source data.
The blob_csid parameter is where you would provide the value for the source character set.
If the source and target use the same character set then just pass zero. Your code is passing a one.
>
General Notes
You must specify the character set of the source data in the blob_csid parameter. You can pass a zero value for blob_csid. When you do so, the database assumes that the BLOB contains character data in the same character set as the destination CLOB.
>
Same for 'lang_context' - your code is using 1; just use 0. It is an IN OUT
>
lang_context
(IN) Language context, such as shift status, for the current conversion.
(OUT) The language context at the time when the current conversion is done.
This information is returned so you can use it for subsequent conversions without losing or misinterpreting any source data. For the very first conversion, or if do not care, use the default value of zero. -
How to convert XML data into binary data (opaque data)
Hi,
I am trying to develop a process that delivers files after reading data from a database.
However, it is required not to deliver the data immediately. We want to perform some checks before the files get written.
So the way we want to design this is,
1. Read data from database (or any other input). The data is in XML format (this is a requirement, as in general, we have xml data)
2. This data is written, opaquely, to a JMS queue that can store binary data, along with what is the filename of the file that would be written (filename is passed using JMS Headers)
3. When required, another process reads the JMS queue's binary data, and dumps into a file
The reason I want to use opaque data while inserting in the JMS queue is, that enables me to develop a single process in Step 3 that can write any file, irrespective of the format.
My questions are
1. How to convert the xml data to opaque data. In BPEL I may use a embedded java, but how about ESB. Any other way....?
2. how to pass filename to the jms queue, when payload is opaque. Can I use a header attribute...custom attributes?
3. Which jms message type is better for this kind of requirement - SYS.AQ$_JMS_BYTES_MESSAGE or SYS.AQ$_JMS_STREAM_MESSAGEAna,
We are doing the same thing--using one variable with the schema as the source of the .xsl and assigning the resulting html to another variable--the content body of the email, in our case. I just posted how we did it here: Re: Using XSLT to generate the email HTML body
Let me know if this helps. -
Hi guys
i have data coming in multiple rows and want to show same data in columns like multiple colours per product. colour are fixed in numbers i.e only three colours are there per product not more than that..
sample data is like this
id product_name colour
101 A red
101 A black
101 A Green
result required:-
id product_name colour1 colour2 colour3
101 A red black green
thanks & RegardsHi,
That's called a Pivot. In Oracle 8.1 and higher, you can use ROW_NUMBER, CASE, and an aggregate function, such as MIN for pivoting. (Starting in Oracle 11, there's SELECT ... PIVOT.)
You didn't post CREATE TABLE and INSERT statements for your table, so I'll use scott.emp to illustrate:
WITH got_r_num AS
SELECT deptno
, job
, ename
, ROW_NUMBER () OVER ( PARTITION BY deptno
, job
ORDER BY ename
) AS r_num
FROM scott.emp
SELECT deptno
, job
, MIN (CASE WHEN r_num = 1 THEN ename END) AS ename_1
, MIN (CASE WHEN r_num = 2 THEN ename END) AS ename_2
, MIN (CASE WHEN r_num = 3 THEN ename END) AS ename_3
FROM got_r_num
GROUP BY deptno
, job
ORDER BY deptno
, job
Output:
DEPTNO JOB ENAME_1 ENAME_2 ENAME_3
10 CLERK MILLER
10 MANAGER CLARK
10 PRESIDENT KING
20 ANALYST FORD SCOTT
20 CLERK ADAMS SMITH
20 MANAGER JONES
30 CLERK JAMES
30 MANAGER BLAKE
30 SALESMAN ALLEN MARTIN TURNER
If you do happen to have more than 3 items, the query still works, but only the first 3 are shown. (In deptno=10, there is a 4th SALESMAN named WARD.) -
How do I put data into a template using the Labview report generation toolkit for Microsoft Office?
I am running Lookout 5.0 and have recently purchased the Labview Report Generation Toolkit for Microsoft Office to create reports from my Lookout logged data. Since I have never used Labview I am having my problems. I tried following the tutorials but they do not seem to be examples of what I want to do.
I log rainfall totals (1 spreadsheet)in Lookout from 40 different sites in 5 minute increments. I copy these totals and paste them into another spreadsheet which sums them up to give me hourly totals and then paste those totals into a spreadsheet for distribution.
In Labview I create a new report and use the distribution sheet as my template, but how do I complete
the steps of loading the raw 5 minute data into labview and then paste it into the hourly total spreadsheet and then transfer those totals into the distribution template?
I have been trying to figure this out for over a week, and I am getting nowhere.
Any response would be appreciated.
Thanks
Jason P
Jason PhillipsLookout saves the files in .csv form which can be opened in Excel. I did make some progress by using the "append table to report" vi which allowed me to put values into an array and then those values were entered into my template on my report vi.
Where I am stuck now is I want to be able to put values into my template from a .csv file, not from an array I have to manually put numbers in.
Once those values are in my template I want to pull summed values from the template and place them into a final excel file for printing.
I have attached examples of the files I am working with to help you better understand what I am trying to do.
I hope that makes sense.
Jason Phillips
Attachments:
HourlyTotalsTemplate.xls 120 KB
eb_rain_gauge_ss.csv 23 KB
EastBankHourlyRainReport.xls 28 KB
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