I have a crosstab data table, and my CrossTabColumnLabel consists of data from a lookup table in my oracle database. (By way of a Label)
I pull it out like so:
#Data.COLUMN_NAME~
in the Label Caption. Now when I do something like this:
#Data.COLUMN_NAME~ & #Data.COLUMN_NAME~
It acts as you would suspect and prints the name twice.
However, when I do try to concatenate a number, it does not print the number, only the & sign
#Data.COLUMN_NAME~ & #Data.NUMBER_COLUMN~
I have tried to pull it out of the database as a text value using Oracle's CAST function:
cast( NUMBER_COLUMN AS varchar2(30) ) as NEWVALUE
and tried this:
#Data.COLUMN_NAME~ & #Data.NEWVALUE~
But still no luck. Any ideas?
In order to use values in the CrosstabLabelColumn, these Data Columns must be included in your Crosstab Filter as elements so that you can reference the token values in your Crosstab table.
For more details, you might find this article helpful:
http://devnet.logixml.com/rdPage.aspx?rdReport=Article&dnDocID=1035
Regards,
David
Related
I have a table I wish to query. It has a string variable called comment which contains an ID along with other things. (i.e. "123456;varA;varB")
rowNo
comment
1
"123456;varA;varB"
2
"987654;varA;varB"
I want to filter based on the first substring in the comment variable.
That is, I want to filter the table on rows where the first substring of comment is "123456" (which in the example would return the first row)
How do I do this?
I was thinking something along the lines of the code below, using the "string_split" function, but it doesn't work.
SELECT *,
FROM table
WHERE (SELECT value FROM STRING_SPLIT(comment,';',1)="123456")
Does anyone have any ideas?
Note, I am querying in SQL in SAS, and this is on a large dataset, so I don't want to create a new table with a new column to then query on instead. Ideally I'd want to query on the existing table directly.
You can use the SCAN() function to parse a string.
WHERE '123456'=scan(comment,1,';')
Looks like we've loaded some snowflake tables via ELT with "TO, FROM" as column names and they are both classic functions in any sql tool
Whenever I run a query for specifically those columns, there's always an error - how do I fix it apart from changing column names? Don't want to change column names as ELT process always happens from mongoDB via log based replication (stitch data)
select * - works perfectly , all other columns work too. Just "to" , "from" is the issue - should that never be used a columns?
select to, from from table limit 10 ; // tested [to, "to", 'to'] - none work
Error: SQL compilation error: error line 1 at position 7 invalid identifier '"to"'
Any ideas how to fix this apart from source column change or snowflake column changes?
Snowflake uses the standard double quotes to escape identifiers. However, when identifiers are escaped, the case of the letters matters, So, these are not the same:
select "to"
select "To"
select "TO"
You need to choose the one that is correct for your column names.
In addition spaces matter, so these are not the same:
select "to "
select " to"
select "to"
That is, what looks like to might be something else. You need to know what that is to escape the name properly.
If you can't figure them out, there is a trick to create a view to give the table reasonable names. Something like this:
create view v_t (to_date, from_date, . . .) as
select *
from t;
You need to be sure to include all the column names in the table in the column name list, in the same order as they are in the table. Then you can use the view with reasonable names.
I'm new in regular expression, and would like to ask help with the problem I have. I had a form, and it has drop down field where user can select one or more values, so the value for that drop down can be Faculty of Arts (if user chose one option) or Faculty of Arts, Faculty of Medicine (if user chose these two from the drop down).
Now, I want to convert this value, so that I can use it to filter my query. I will use this / these value(s) in WHERE clause. In this case, I have to reformat this value to "Faculty of Arts", "Faculty of Medicine", so it will fit in this statement:
SELECT * FROM myTable WHERE t_faculty IN ("Faculty of Arts", "Faculty of Medicine")
A friend of mine suggested me to try regular expression embedded in this SQL statement (I'm using SQL Server for the database). Do you have any idea on how to parse, and embed it in the SQL statement? Basically I need to add " characters in the beginning and end of the string, and replace the ,[space] with ",[space]" to get the wanted result.
Thank you!
Agus
You can split a comma-delimited string within SQL using STRING_SPLIT.
select * from myTable
where t_faculty in (
select value from string_split('Faculty of Arts, Faculty of Medicine', ',')
)
STRING_SPLIT returns a table of string values that are separated by the delimiter in the input string.
Otherwise you can use several pattern matching functions:
LIKE
PATINDEX
An SQL CLR (e.g.: C#) function that does expression matching. See SQL Server Regex.
You may also choose to simply split the string in your app. Then build the appropriate SQL command (or use something like Contains in linq).
You are not clear how you are passing those strings to SQL Server.
And SQL Server delimits strings with single quotes, i.e apostrophes not double quotes.
In whatever client-side code you have access to, simply concatenate the selected strings with apostrophes.
So if a user picks Faculty of Arts and Faculty of Medicine then you can join it all into one long string like
"'" & <selected option> & "'" & ",'" & <selected option> & "'"
You don't use regular expressions here to change the highlighted part of your SQL code :
SELECT FROM myTable WHERE t_faculty IN **("Faculty of Arts", "Faculty of Medicine")
I think your understanding about the way we use Regular Expressions could be wrong. You generally use regular expressions when you are trying to match with strings in your database which share some common properties. For instance if you have two rows with the fields "Faculty of Arts 1" and "Faculty of Arts 2". And you are trying to look up all the rows which have "Faculty of Arts" in general, then you could write it as SELECT * FROM myTABLE WHERE t_faculty LIKE 'Faculty of Arts*' where * would match anything after the text.
Instead of t_faculty IN (value1,value2), you will write something like t_faculty LIKE 'your regular_expression here'.
I would like to ask if it is possible to do this:
For example the search string is '009' -> (consider the digits as string)
is it possible to have a query that will return any occurrences of this on the database not considering the order.
for this example it will return
'009'
'090'
'900'
given these exists on the database. thanks!!!!
Use the Like operator.
For Example :-
SELECT Marks FROM Report WHERE Marks LIKE '%009%' OR '%090%' OR '%900%'
Split the string into individual characters, select all rows containing the first character and put them in a temporary table, then select all rows from the temporary table that contain the second character and put these in a temporary table, then select all rows from that temporary table that contain the third character.
Of course, there are probably many ways to optimize this, but I see no reason why it would not be possible to make a query like that work.
It can not be achieved in a straight forward way as there is no sort() function for a particular value like there is lower(), upper() functions.
But there is some workarounds like -
Suppose you are running query for COL A, maintain another column SORTED_A where from application level you keep the sorted value of COL A
Then when you execute query - sort the searchToken and run select query with matching sorted searchToken with the SORTED_A column
I have a query in MS Access which creates a table from two subqueries. For two of the columns being created, I'm dividing one column from the first subquery into a column from the second subquery.
The datatype of the first column is a double; the datatype of the second column is decimal, with scale of 2, but I want the second column to be a double as well.
Is there a way to force the datatype when creating a table through a standard make-table Access query?
One way to do it is to explicitly create the table before putting anything into it.
Your current statement is probably like this:
SELECT Persons.LastName,Orders.OrderNo
INTO Persons_Order_Backup
FROM Persons
INNER JOIN Orders
ON Persons.P_Id=Orders.P_Id
WHERE FirstName = 'Alistair'
But you can also do this:
----Create NewTable
CREATE TABLE NewTable(FirstName VARCHAR(100), LastName VARCHAR(100), Total DOUBLE)
----INSERT INTO NewTableusing SELECT
INSERT INTO NewTable(FirstName, LastName, Total)
SELECT FirstName, LastName,
FROM Person p
INNER JOIN Orders o
ON p.P_Id = o.P_Id
WHERE p.FirstName = 'Alistair'
This way you have total control over the column types. You can always drop the table later if you need to recreate it.
You can use the cast to FLOAT function CDBL() but, somewhat bizarrely, the Access Database Engine cannot handle the NULL value, so you must handle this yourself e.g.
SELECT first_column,
IIF(second_column IS NULL, NULL, CDBL(second_column))
AS second_column_as_float
INTO Table666
FROM MyTest;
...but you're going to need to ALTER TABLE to add your keys, constraints, etc. Better to simply CREATE TABLE first then use INSERT INTO..SELECT to populate it.
You can use CDbl around the columns.
An easy way to do this is to create an empty table with the correct field types and then to an Append-To query and Access will automatically convert the data to the destination field.
I had a similar situation, but I had a make-table query creating a field with NUMERIC datatype that I wanted to be short text.
What I did (and I got the idea from Stack) is to create the table with the field in question as Short Text, and at the same time build a delete query to scrub the records. I think it's funny that a DELETE query in access doesn't delete the table, just the records in it - I guess you have to use a DROP TABLE function for that, to purge a table...
Then, I converted my make-table query to an APPEND query, which I'd never done before... and I just added the running of the DELETE query to my process.
Thank you, Stack Overflow !
Steve
I add a '& ""' to the field I want to make sure are stored as text, and a ' *1 ' (as in multiplying the amount by 1) to the fields I want to store as numeric.
Seems to do the trick.
To get an Access query to create a table with three numeric output fields from input numeric fields, (it kept wanting to make the output fields text fields), had to combine several of the above suggestions. Pre-establish an empty output table with pre-defined output fields as integer, double and double. In the append query itself, multiply the numeric fields by one. It worked. Finally.