I am trying to assign values to textboxes in SSRS but am running into a bit of trouble.
My dataset "dsStepInfo" groups and sums a number of rows together based on "ID", query below.
SELECT ID, SUM(Target) AS Target, SUM(Actual) AS Actual
FROM tblStepComplete
WHERE (CompleteID = #ParamID)
GROUP BY ID
And returns:
ID Target Actual
-------------------------------
| 10 | 44418 | 44418 |
-------------------------------
| 12 | 13193 | 13123 |
-------------------------------
| 22 | 1411 | 1411 |
-------------------------------
| 50 | 160 | 80 |
-------------------------------
| 52 | 68 | 34 |
-------------------------------
| 101 | 12120 | 12119 |
-------------------------------
| 105 | 875 | 868 |
-------------------------------
| 140 | 40 | 40 |
-------------------------------
| 560 | 2985 | 3418 |
-------------------------------
I want to assign cells in the grid in the picture to a certain ID. The Cell for tank 110 would always be the Target of ID=50 and Actual of ID=50 for example. Many of the IDs returned aren't going to be populated in the table, just the 10 displayed in this table. Is there any way to perform a SELECT, or equivalent in the textbox as an expression to get these specific values from the dataset?
You can use the Lookup function.
This should get the ID #50 and output its Target:
=Lookup(50, Fields!ID.Value, Fields!Target.Value, "DSStepInfo")
I think if it were me I'd just use a Case statement, something like
SELECT
Case [ID]
WHEN 10 Then 'Tank 50'
WHEN 12 Then 'Tank 120'
When 22 Then 'Tank 130'
WHEN 50 Then 'Tank 140'
When 52 Then 'Tank 150'
End As TankNo
,SUM([Target]) As Target
,SUM([Actual]) As Actual
FROM tblStepComplete
WHERE (CompleteID = #ParamID)
Group By [ID]
And then build your report using the values presented. Better would be an additional table that had the Tank names linked to the IDs you are pulling, but if you don't have that then the Case statement is fairly easy to maintain.
Related
i have a table like this with a var char field reference_number
actually i need to get the max of number in that field
<<student>>
|`id` | `reference_number`(varchar(25))
--------------------------
| 1 | L250
| 2 | SP521
| 3 | S120
| 4 | SP500
| 5 | S122
the desired result is 521 because if we are avoiding the non numeric value then it will come like this
|`id` | `reference_number`
--------------------------
| 1 | 250
| 2 | 521
| 3 | 120
| 4 | 500
| 5 | 122
how to get the the value 521 from the table
I assume you have extracted 'reference_number' as shown in the second snippet from the first snippet. if so, try :::
select max(cast (reference_number as int)) from student
In order to get the number 521 (and all the numbers from the reference_number column) you could try:
SELECT *
FROM yourtable
WHERE reference_number REGEXP '^[0-9]+$';
And then you can add an order by statement.
My company ran a series of TV ads and we're measuring the impact by changes in our website traffic. I would like to determine the cost per session we saw generated, based on the cost of each ad.
The trouble is, the table this is referencing has duplicate data, so my currently cost_per_session isn't counting right.
What I have so far:
client_net_cleared = cost of ad
ad_time, media_outlet, & program = combined are a unique identifier for each ad
diff = assumed sessions generated by ad
.
SELECT DISTINCT tadm.timestamp AS ad_time
, tadm.media_outlet AS media_outlet
, tadm.program AS program
, tadm.client_net_cleared AS client_net_cleared
, SUM(tadm.before_ad_sum) AS before_ad_sessions
, SUM(tadm.after_ad_sum) AS after_ad_sessions
, (SUM(tadm.after_ad_sum) - SUM(tadm.before_ad_sum)) AS diff
, CASE WHEN tadm.client_net_cleared = 0 THEN null
WHEN (SUM(tadm.after_ad_sum) - SUM(tadm.before_ad_sum)) <1 THEN null
ELSE (tadm.client_net_cleared/(SUM(tadm.after_ad_sum) - SUM(tadm.before_ad_sum)))
END AS cost_per_session
FROM tableau.km_tv_ad_data_merged tadm
GROUP BY ad_time,media_outlet,program,client_net_cleared
Sample data:
ad_time | media_outlet | program | client_net_cleared | before_ad_sessions | after_add_sessions | diff | cost_per_session
---------------------|---------------|----------------|--------------------|--------------------|--------------------|------|-----------------
2016-12-09 22:55:00 | DIY | | 970 | 55 | 72 | 17 | 57.05
2016-12-11 02:22:00 | E! | E! News | 388 | 25 | 31 | 6 | 64.66
2016-12-19 21:15:00 | Cooking | The Best Thing | 428 | 70 | 97 | 27 | 15.85
2016-12-22 14:01:00 | Oxygen | Next Top Model | 285 | 95 | 148 | 53 | 5.37
2016-12-09 22:55:00 | DIY | | 970 | 55 | 72 | 17 | 57.05
2016-12-04 16:13:00 | Headline News | United Shades | 1698 | 95 | 137 | 42 | 40.42
What I need:
Only count one instance of each ad when calculating cost_per_session.
EDIT: Fixed the query, had a half completed row where I was failing at doing this before asking the question. :)
Get rid of the DISTINCT in SELECT DISTINCT in the first line of your query. It makes no sense in a GROUP BY query.
If your rows are entirely duplicate, try deduplicating the table before you put it into the GROUP BY grinder by replacing
FROM tableau.km_tv_ad_data_merged tadm
with
FROM ( SELECT DISTINCT timestamp, media_outlet, program,
client_net_cleared,
before_ad_sum, after_ad_sum
FROM tableau.km_tv_ad_data_merged
) tadm
This question already has answers here:
SQL select only rows with max value on a column [duplicate]
(27 answers)
Closed 6 years ago.
I have a MySQL database that contains the table, "message_route". This table tracks the the path between hubs a message from a device takes before it finds a modem and goes out to the internet.
"message_route" contains the following columns:
id, summary_id, device_id, hub_address, hop_count, event_time
Each row in the table represents a single "hop" between two hubs. The column "device_id" gives the id of the device the message originated from. The column "hub_address" gives the id of the hub the message hop was received by, and "hop_count" counts these hops incrementally. The full route of the message is bound together by the "summary_id" key. A snippet of the table to illustrate:
+-----+------------+-----------+-------------+-----------+---------------------+
| id | summary_id | device_id | hub_address | hop_count | event_time |
+-----+------------+-----------+-------------+-----------+---------------------+
| 180 | 158 | 1099 | 31527 | 1 | 2011-10-01 04:50:53 |
| 181 | 159 | 1676 | 51778 | 1 | 2011-10-01 00:12:04 |
| 182 | 159 | 1676 | 43567 | 2 | 2011-10-01 00:12:04 |
| 183 | 159 | 1676 | 33805 | 3 | 2011-10-01 00:12:04 |
| 184 | 160 | 2326 | 37575 | 1 | 2011-10-01 00:12:07 |
| 185 | 160 | 2326 | 48024 | 2 | 2011-10-01 00:12:07 |
| 186 | 160 | 2326 | 57652 | 3 | 2011-10-01 00:12:07 |
+-----+------------+-----------+-------------+-----------+---------------------+
There are three total messages here. The message with summary_id = 158 touched only one hub before finding a modem, so row with id = 180 is the entire record of that message. Summary_ids 159 and 160 each have 3 hops, each touching 3 different hubs. There is no upward limit of the number of hops a message can have.
I need to create a MySQL query that gives me a list of the unique "hub_address" values that constitute the last hop of a message. In other words, the hub_address associated with the maximum hop_count for each summary_id. With the database snippet above, the output should be "31527, 33805, 57652".
I have been unable to figure this out. In the meantime, I am using this code as a proxy, which only gives me the unique hub_address values for messages with a single hop, such as summary_id = 158.
SELECT DISTINCT(x.hub_address)
FROM (SELECT hub_address, COUNT(summary_id) AS freq
FROM message_route GROUP BY summary_id) AS x
WHERE x.freq = 1;
I would approach this as:
select distinct mr.hub_address
from message_route mr
where mr.event_time = (select max(mr2.event_time)
from message_route mr2
where mr2.summary_id = mr.summary_id
);
I have one table having 5 columns
linkid, orinodeno, orinodeno, ternodeno, terifindex
linkid is autoincremented. orinodeno, oriifindex is one combination value and ternodeno, terifindex other combination (orinodeno,oriifindex is originating value and ternodeno,terifindex terminating value i.e, in between there is a link eg just like map two pts n in between connecting link) so my table contains a->b values (i.e a is combination of orinodeno, oriifindex and b is combination of ternodeno,terifindex) and b->a values. so I have to select only a->b set of values not b->a. Also sending my table image. My Table
There is no a map definition in sql databases, forget it. Check any database normalization tutorial. Then you shouldn't have any problems with select statements.
Please be clear about what you are asking. If you can not explain in words, please give example input and your expected output.
From link of table image you have provided and description, It looks like you expect following:
Data in current table:
------------------------------------------------------------------
|linkid | orinodenumber | oriifindex | ternodenumber | terifindex|
------------------------------------------------------------------
|305 | 261 | 2 | 309 | 2 |
|306 | 309 | 2 | 261 | 2 |
|307 | 257 | 10 | 310 | 10 |
|308 | 310 | 10 | 257 | 10 |
|309 | 257 | 11 | 310 | 11 |
------------------------------------------------------------------
Expected Output:
------------------------------------------------------------------
|linkid | orinodenumber | oriifindex | ternodenumber | terifindex|
------------------------------------------------------------------
|305 | 261 | 2 | 309 | 2 |
|307 | 257 | 10 | 310 | 10 |
------------------------------------------------------------------
If that is your case, following query might help you (Assuming table name as link_table):
SELECT *
FROM link_table o
WHERE EXISTS (SELECT linkid
FROM link_table i
WHERE o.orinodenumber = i.ternodenumber
AND o.oriifindex = i.terifindex
AND o.linkid < i.linkid);
I have a column in PowerPivot that I would like to get the average of. However I only want the rows included that are the only instance of a value or the first instance of a duplicate value in another column. Is this Possible with DAX?
Simply put I need the column average of unique rows, determining uniqueness from another column.
Probably to old to assist, but for those that stumble across:
You would need to create two measures. The first would sum whatever it is you are trying to average by the distinct values in the other column.
| id | squilla |
| 01 | 100 |
| 01 | 110 |
| 02 | 90 |
| 03 | 100 |
| 03 | 90 |
So id=1 has total squilla of 210, id=2 spend of 90, and id=3 spend of 190. The distinct average (where id is the identifier) is 163.333
To do this in powerpivot, first create a measure that sums the squilla by id: Measure1:=CALCULATE(SUM('yourTable'[squilla]),VALUES('yourTable'[id]))
And the second to average it across id:
Measure2:=AVERAGEX(DISTINCT('yourTable'[id]),[Measure1])
My understanding of the OP's question looks something like this:
| id | age |
| -- | --- |
| 1 | 20 |
| 1 | 20 |
| 2 | 50 |
| 3 | 35 |
| 3 | 35 |
In this case, a summed average as suggested by aesthetic_a (40 + 50 + 70)/3 would not be appropriate.
However an averaged average ((40/2) + (50/1) + (35/2))/3 would be a solution to determine the distinct average grouped by id.
Measure:=AVERAGEX(VALUES(table[id]), CALCULATE(AVERAGE(table[age])))