I know that if you want to combine one ore more fields in a dummy field you would say like this.
Select Name & ' ' & Surname as FullName from Customer .
that would return to the dummy column "FullName" the name separated by space and then surname.
BUT what happen if I want to select all the columns as one column with out needing writing explicitly the name of the column that I want to combine . For example
Select * as MyDummyColumn from Customer
is there any way to do something like above ?
Short answer: NO.
Long answer: It depends. In Oracle, for example, I would write a package (or a single procedure) which takes a parameter (tablename), and create a select programmatically, and then use the execute immediate to execute the sql ...
I´m sure, there are similar ways in other db´s.
Or using a programming language like c#, java, vb (.net or even vb6) or whatever there may be, you can generate the sql by code.
Related
I received this snippet from someone who doesn't work for my current company anymore, and I can't figure out what this regex do.
The objective for him was to scan through sql query strings and rearrange table info
regexp_replace(query, ' ("*?)(analytics_internal|arr|bizops_analytics|cloud_api|cloud_backend_raw|data_science|eloqua|fb_ads|google_ads|information_schema|intricately|legacy_sfdc|marketing_analytics|ns__analytics_postprocessing|ns__global_write|product_analytics|raw_bing_ads|raw_cloud_api|raw_compass|raw_coveo|raw_eloqua|raw_g_search_console|raw_gainsight|raw_google_ads|raw_intercom|raw_linkedin_ads|raw_mightysignal|raw_realm|raw_sfdc|remodel_cloud|remodel_test|sales_analytics|sales_ops|sampledb|segment|sfdc|ts_analytics|university_platform_analytics|upstream_gainsight|usage|xform_cloud|xform_etl|xform_finance|xform_marketing|xform_reference|xform_sales|xform_tables)("*?)\.("*?)(.+?)("*?)(\s|$)', ' awsdatacatalog.$1$2$3.$4$5$6$7') as queryString
The regex you've provided attempts to match any of the many provided strings in the second capture group and modify that part of the query to be prefixed with awsdatacatalog.. This is most likely an attempt to modify queries to occur on a new database, in particular a database named awsdatacatalog. For example, the consider the following query:
SELECT * FROM "analytics_internal".foo.table
Your regex_replace should produce a new query that looks like
SELECT * FROM awsdatacatalog."analytics_internal".foo.table
Thank you for checking my question out!
I'm trying to write a query for a very specific problem we're having at my workplace and I can't seem to get my head around it.
Short version: I need to be able to target columns by their name, and more specifically by a part of their name that will be consistent throughout all the columns I need to combine or compare.
More details:
We have (for example), 5 different surveys. They have many questions each, but SOME of the questions are part of the same metric, and we need to create a generic field that keeps it. There's more background to the "why" of that, but it's pretty important for us at this point.
We were able to kind of solve this with either COALESCE() or CASE statements but the challenge is that, as more surveys/survey versions continue to grow, our vendor inevitably generates new columns for each survey and its questions.
Take this example, which is what we do currently and works well enough:
CASE
WHEN SURVEY_NAME = 'Service1' THEN SERV1_REC
WHEN SURVEY_NAME = 'Notice1' THEN FNOL1_REC
WHEN SURVEY_NAME = 'Status1' THEN STAT1_REC
WHEN SURVEY_NAME = 'Sales1' THEN SALE1_REC
WHEN SURVEY_NAME = 'Transfer1' THEN Null
ELSE Null
END REC
And also this alternative which works well:
COALESCE(SERV1_REC, FNOL1_REC, STAT1_REC, SALE1_REC) as REC
But as I mentioned, eventually we will have a "SALE2_REC" for example, and we'll need them BOTH on this same statement. I want to create something where having to come into the SQL and make changes isn't needed. Given that the columns will ALWAYS be named "something#_REC" for this specific metric, is there any way to achieve something like:
COALESCE(all columns named LIKE '%_REC') as REC
Bonus! Related, might be another way around this same problem:
Would there also be a way to achieve this?
SELECT (columns named LIKE '%_REC') FROM ...
Thank you very much in advance for all your time and attention.
-Kendall
Table and column information in Db2 are managed in the system catalog. The relevant views are SYSCAT.TABLES and SYSCAT.COLUMNS. You could write:
select colname, tabname from syscat.tables
where colname like some_expression
and syscat.tabname='MYTABLE
Note that the LIKE predicate supports expressions based on a variable or the result of a scalar function. So you could match it against some dynamic input.
Have you considered storing the more complicated properties in JSON or XML values? Db2 supports both and you can query those values with regular SQL statements.
I have a database which can be modified by our users through an interface. For one field (companyID) they should have the ability to place an asterisk in the string as a wildcard character.
For example, they can put in G378* to stand for any companyID starting with G378.
Now on my client program I'm providing a "full" companyID as a parameter:
SELECT * FROM table WHERE companyID = '" + myCompanyID + "'
But I have to check for the wildcard, is there anything I can add to my query to check for this. I'm not sure how to explain it but it's kinda backwards from what I'm used to. Can I modify the value I provide (the full companyID) to match the wildcard value from in the query itself??
I hope this maked sense.
Thanks!
EDIT: The user is not using SELECT. The user is only using INSERT or UPDATE and THEY are the ones placing the * in the field. My program is using SELECT and I only have the full companyID (no asterisk).
This is a classic SQL Injection target! You should be glad that you found it now.
Back to your problem, when users enter '*', replace it with '%', and use LIKE instead of = in your query.
For example, when end-users enter "US*123", run this query:
SELECT * FROM table WHERE companyID LIKE #companyIdTemplate
set #companyIdTemplate parameter to "US%123", and run the query.
I used .NET's # in the example, but query parameters are denoted in ways specific to your hosting language. For example, they become ? in Java. Check any DB programming tutorial on use of parameterized queries to find out how it's done in your system.
EDIT : If you would like to perform an insert based on a wildcard that specifies records in another table, you can do an insert-from-select, like this:
INSERT INTO CompanyNotes (CompanyId, Note)
SELECT c.companyId, #NoteText
FROM Company c
WHERE c.companyId LIKE 'G378%'
This will insert a record with the value of the #NoteText parameter into CompanyNotes table for each company with the ID matching "G378%".
in TSQL I would use replace and like. ie:
select * from table where companyid like replace(mycompanyid,'*','%');
This is somewhat implementation dependant and you did not mention which type of SQL you are dealing with. However, looking at MS SQL Server wildcards include % (for any number of characters) or _ (for a single character). Wildcards are only evaluated as wildcards when used with "like" and not an = comparison. But you can pass in a paramater that includes a wildcard and have it evaluated as a wildcard as long as you are using "like"
I'm building an abstract gem. i need a sql query that looks like this
SELECT * FROM my_table WHERE * LIKE '%my_search%'
is that possible?
edit:
I don't care about querys performance because it's a feature function of a admin panel, which is used once a month. I also don't know what columns the table has because it's so abstract. Sure i could use some rails ActiveRecord functions to find all the columns but i hoped to avoid adding this logic and just using the *. It's going to be a gem, and i can't know what db is going to be used with it. Maybe there is a sexy rails function that helps me out here.
As I understand the question, basically you are trying to build a sql statement which should check for a condition across all columns in that table. A dirty hack, but this generates the required Sql.
condition_string = MyTable.column_names.join(' LIKE ? OR ')
MyTable.all(:conditions => [condition_string, '%my_search%'])
However, this is not tested. This might work.
* LIKE '...' isn't valid according to the SQL standards, and not supported by any RDBMS I'm aware of. You could try using a function like CONCAT to make the left argument of LIKE, though performance won't be good. As for SELECT *, it's generally something to be avoided.
No, SQL does not support that syntax.
To search all columns you need to use procedures or dynamic SQL. Here's another SO question which may help:
SQL: search for a string in every varchar column in a database
EDIT: Sorry, the question I linked to is looking for a field name, not the data, but it might help you write some dynamically SQL to build the query you need.
You didn't say which database you are using, as there might be a vendor specific solution.
Its only an Idea, but i think it worth testing!
It depends on your DB you can get all Columns of a table, in MSSQL for example you can use somethink like:
select name from syscolumns where id=object_id('Tablename')
Under Oracle guess its like:
select column_name from USER_TAB_COLUMNS where TABLE_NAME = 'Tablename'
and then you will have to go through these columns usign a procedure and maby a cursor so you can check for each Column if the data your searching for is in there:
if ((select count(*) from Tablename where Colname = 'searchingdata') > 0)
then keep the results in a separated table(ColnameWhereFound, RecNrWhereFound).
The matter of Datatye may be an Issue if you try to compare strings with numbers, but if you notice for instance under SQL-Server the syscolumns table contains a column called "usertype" which contains a number seems to refer to the Datatype stored in the Columne, like 2 means string and 7 means int, and 2 means smallint, guess Oracle would have something similar too.
Hope this helps.
so i have a table lets say call it "tbl.items" and there is a column "title" in "tbl.items" i want to loop through each row and for each "title" in "tbl.items" i want to do following:
the column has the datatype nvarchar(max) and contains a string...
filter the string to remove words like in,out, where etc (stopwords)
compare the rest of the string to a predefined list and if there is a match perform some action which involves inserting data in other tables as well..
the problem is im ignotent when it comes to writing T-sql scripts, plz help and guide me how can i achieve this?
whether it can be achieved by writing a sql script??
or i have to develope a console application in c# or anyother language??
im using mssql server 2008
thanks in advance
You want a few things. First, look up SQL Server's syntax for functions, and write something like this:
-- Warning! Code written off the top of my head,
-- don't expect this to work w/copy-n-paste
create function removeStrings(#input nvarchar(4000))
as begin
-- We're being kind of simple-minded and using strings
-- instead of regular expressions, so we are assuming a
-- a space before and after each word. This makes this work better:
#input = ' ' + #input
-- Big list of replaces
#input = replace(' in ','',#input)
#input = replace(' out ','',#input)
--- more replaces...
end
Then you need your list of matches in a table, call this "predefined" with a column "matchString".
Then you can retrieve the matching rows with:
select p.matchString
from items i
join predefined p
on removeStrings(i.title) = p.matchString
Once you have those individual pieces working, I suggest a new question on what particular process you may be doing with them.
Warning: Not knowing how many rows you have or how often you have to do this (every time a user saves something? Once/day?), this will not exactly be zippy, if you know what I mean. So once you have these building blocks in hand, there may also be a follow-up question for how and when to do it.