I would like help with sql query code to push the consequent data in a specific column down by a row.
For example in a random table like the following,
x column y column
6 6
9 4
89 30
34 15
the results should be "pushed" down a row, meaning
x column y column
6 null or 0 (preferably)
9 6
89 4
34 30
SQL tables have no inherent concept of ordering. Hence, the concept of "next row" does not make sense.
Your example has no column that specifies the order for the rows. There is no definition of next. So, what you want to do cannot be done.
I am not aware of a simple way to do this with the way you are showing the table being formatted. If your perhaps added two consecutively numbered integer fields that provide row number and row number + 1 values, you could join the table to itself and get that information.
After taking a backup of you table:
Make a PHP function that will:
- Load all values of Y into an array
- Set Y = 0 (MYSQL UPDATE)
- load the values back from PHP array to MYSQL
Related
This is my first day using Power BI so go easy on me!
Within my table I have a column of JSON records
[Column of JSON records]
Each Record has 3 rows, with 2 columns (I only need the value of the first column).
[Record with 3 rows]
As the index/position of each record's rows represents the same thing, I want to convert the index/position into a new column in the table, and populate it with each records' corresponding value from column 1.
For example:
The JSON Record from table row 1:
----
1479
1481
1486
---
The JSON Record from table row 2:
----
1351
1536
1356
---
Expected output:
New Column 1 | New Column 2
1479 | 1351
1481 | 1536
1486 | 1356
I have searched for a solution but to no avail. Hopefully someone can help me here. Let me know if you need any further clarification.
Thanks in advance!
I've found a way to achieve this by using a couple of Transform functions. I reversed parsing the column to JSON, and instead used the Split Column function to separate the JSON by the , delimiter (creating the 3 columns I required), and then isolated the required data within the columns using the Extract function.
I'm not sure if SSRS is dumb, or I am (I'm leaning towards both).
I have a dataset that (as a result of joins etc) has some columns with the same values duplicated across every row (fairly standard database stuff):
rid cnt bid flg1 flg2
-------------------------------
4 2882 1 17 3
5 2784 1 17 3
6 1293 1 17 3
18 9288 2 4 9
20 762 2 4 9
Reporting based on cnt is straightforward enough. I can also make a tablix that shows the following:
bid flg1 flg2
------------------
1 17 3
2 4 9
(Where the tablix is grouped by Fields!bid.Value and the columns are just Fields!flg1.Value and Fields!flg2.Value respectively.)
What I can't figure out is how to display the sum of these values -- specifically I want to show that the sum of flg1 is 21 and the sum of flg2 is 12 -- not the sum of every row in the dataset (counting each value more than once).
(Note that I'm not looking for a sum of distinct values, as they may not be unique. I want a sum of one value from each bid group, because it's from a table join so they will always have the same value.)
If possible, I'd also like to be able to do a similar calculation at the top level of the report (not in any tablix); although I'd settle for hiding the detail row if that's the only way.
Obviously, Sum(Fields!flg1.Value) isn't the answer, as this either returns 51 (if on the first row inside the group) or 59 (if outside it).
I also tried Sum(Fields!flg1.Value, "bid") but this wasn't considered a valid scope.
I also tried Sum(First(Fields!flg1.Value, "bid")) but apparently you're not allowed to sum first values for some weird reason (and may have had the same scope problem anyway).
Using Sum(Max(Fields!flg1.Value, "bid")) does work, but feels wrong. Is there a better way to do this?
(Related: is there a good way to save the result of that calculation so that I can later also show a Sum of those totals without an even hairier expression?)
There are two basic ways to do this.
Do what you have already done (Sum(Max(Fields!flg1.Value, "bid")))
Sum the rendered values. To do this check the name of the cell containing the data you want (check it's properties) and then use something like =SUM(ReportItems!flg1.Value) where flg1 is the name of the textbox, which is not necessarily always the same name as the field.
I'm using Microsoft Access 2007 to query two separate SharePoint sources.
The first has most of the data I need. The unique ID number for each row in the first has a corresponding column in the second. The ID from the first can occur multiple times in the second. (It's a mapping between two different databases of defects.)first.
What I want to do is this: find all the ID's from table one that occur in the second, and list ID's from the second for each item that corresponds with the first. For starters, I want something a bit like this:
Table 1 ID Table 2 ID's
5 9, 13, 23
10 11, 15
20 8
But there's also more data from Table 1 I want to display for each item.
What I'm getting is this:
Table 1 ID Table 2 ID Table 1 Data
5 9 Row 5 Additional Data
5 13 Row 5 Additional Data
5 23 Row 5 Additional Data
10 11 Row 10 Additional Data
10 15 Row 10 Additional Data
20 8 Row 20 Additional Data
What I want is something like this:
Table 1 ID Table 2 ID's Table 1 Data
5 9, 13, 23 Row 5 Additional Data
10 11, 15 Row 10 Additional Data
20 8 Row 20 Additional Data
Or perhaps:
Table 1 ID Table 2 ID's
5 9, 13, 23
Row 5 Additional Data
10 11, 15
Row 10 Additional Data
20 8
Row 20 Additional Data
How can I create a report like that?
Comma-separated list from multiple records
Grouping of multiple data rows into a comma-separated list is not a built-in feature of Access. There are various ways to do this, but I most often see links to Allen Browne's tutorial.
Multi-line row details
The difference between your last two examples is just a matter of formatting a Form or Report in Design View. A Report (here capitalized) in Access is a specific type of object for generating custom, formatted views of your data, often for printing or read-only viewing. A Form is a dynamic, on-screen view of your data. I suspect that your use of "report" is of a more general sense.
First of all, there is no way to make multiple lines using the default Datasheet View of tables and queries. To get multiple lines per row of data, you need to create a Form or Report object in Access. In Design View, you can move the data controls around the detail area to produce multiple lines for each data row. I suggest searching for tutorials on the web for creating Access Forms and Reports.
See Guide to designing reports.
I'm trying to achieve the following in SSIS:
Union All 6 separate SQL queries (OLE DB Sources) (call this dataset A)
Dataset A contains
id Col A Col B......
1
2
3
4
5
6
7
8
I have another OLE DB Source SQL query (dataset B) that contains
id Col A Col B .......
1
2
3
4
10
11
12
All columns Col A, Col B etc. are the same in all the queries.
I want to return dataset A unioned (UNION ALL) with dataset B where the ids in dataset B don't match the ids in dataset A. i.e.
id Col A Col B......
1
2
3
4
5
6
7
8
10
11
12
Also before performing the UNION there is some extra work done on dataset B to fill in NULL values in the columns.
I can achieve this quite easily by inserting dataset A into a table then using this table in a subsequent NOT EXISTS or similar query to get the missing info and then UNIONing together. Ideally though I'd like to do this in one sweep using a dual multicast with one side going into a Lookup No match and the other straight into a destination table.
Unfortunately the Lookup and No Match output returns the 'wrong' missing data i.e. it returns
5
6
7
8
rather than
10
11
12
this is because the lookup (dataset B) and source data (dataset A) are the 'wrong way' around. I don't want to rewrite dataset A as the Lookup query so is there another way around this using a different transform or other method?
I've experimented with the Cache Transform but it doesn't seem to work in the same data flow as the Lookup Transform as there is read/write contention.
Thanks,
Rich.
Sounds like you want a "Fuller Outer Join" kind of "Merge" component, then a kinda manual merge after the fact. If I misunderstood you, you can always add a Conditional Split after the Merge, to filter if A is null, if B is null, etc.
An example for the "Merge Columns" is creating a repeated "Id" with this expression: "ISNULL(Id_A) ? Id_B : Id_A"
An example for the "Full Outer Join - Merge":
I am working on a ssrs report with column grouping. the followin is my scenario.
Matrix 1:
ID 2012 2013
1 20 40
1 30 50
Total 50 90
Matrix 2:
ID 2012 2013
1 60 70
1 60 80
Total 120 150
I need the sum of matrix1 and matrix2 like below:
ID 2012 2013
1 170 240
But I got the result like :
ID 2012 2013
1 410 410
I have applied column grouping in all the 3 matrices and gave the expression to get sum for matrix 3 as: =Sum(Fields!amount1.Value, "dsmatrix1") + Sum(Fields!Tamount1.Value, "dsmatrix2")
Please help me to get a solution for this.
Thanks!
I think I know what's going on. Correct me if I'm wrong.
Based on what I'm seeing, I'm guessing that Matrix 1 and Matrix 2 only have three fields each, an ID field, an amount field (being "amount1" or "Tamount1"), and a year field.
Your column grouping is manipulating the display of the data to show all values broken out by year. This works fine when looking at data from a single dataset. However, your formula is specifying that the sum of everything in the Amount1 field of dsmatrix1 and the Tamount1 field of dsmatrix2 should be added. This does not take into account the column grouping. Your expression is essentially taking all of the values from both datasets and adding them together.
Not knowing more about your query structure or how the data is filtered, my best guess is that you need another SQL dataset. In this case, you would take the queries from your two previous datasets and union them with the "Union All" command. Note that you will want to use Union All and not just Union. More on that here: What is the difference between UNION and UNION ALL?
Your end result should look something like this:
--This will be your dsmatrix1 query copied and pasted
Select ...
Union All
--This will be your dsmatrix2 query copied and pasted
Select ...
--Place one single Order by clause at the bottom
Order by ...
Note: for your two queries to be unioned properly, you'll need to make sure that each have the same number of fields, each with the same data types. Then you can point your third matrix to the new dataset.
Hope that helps!