I found problem when trying to retrieve specific name column that using syntax/statement/command using sql.
Example I have table 'dcparam' with name some column 'SELECT', 'INSERT', 'UPDATE' in database sqlserver.
Then I trying to select using query:
SELECT SELECT,INSERT,UPDATE FROM dcparam
Well it could be solve using "*" in select, but then how if i wish only specific column.
Regard.
Add square brackets around the column name.
SELECT [SELECT], [INSERT], [UPDATE] FROM dcparam
It's probably best to reconsider your column names in the long run however...
Related
I have a table named Posts I would like to count and profile in Snowflake using the current Snowsight UI.
When I return the results via EXPLAIN using TABLULAR I am able to return the set with the combination of TABLE, RESULT_SCAN, and LAST_QUERY_ID functions, but any predicate or filter or column reference seems to fail.
Is there a valid way to do this in Snowflake with the TABLE function or is there another way to query the output of the EXPLAIN using TABLULAR?
-- Works
EXPLAIN using TABULAR SELECT COUNT(*) from Posts;
-- Works
SELECT t.* FROM TABLE(RESULT_SCAN(LAST_QUERY_ID())) as t;
-- Does not work
SELECT t.* FROM TABLE(RESULT_SCAN(LAST_QUERY_ID())) as t where operation = 'GlobalStats';
-- invalid identifier 'OPERATION', the column does not seem recognized.
Tried the third example and expected the predicate to apply to the function output. I don't understand why the filter works on some TABLE() results and not others.
You need to double quote the column name
where "operation"=
From the Documentation
Note that because the output column names from the DESC USER command
were generated in lowercase, the commands use delimited identifier
notation (double quotes) around the column names in the query to
ensure that the column names in the query match the column names in
the output that was scanned
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.
So in Hue I've entered a simple query(has to be as simple as possible, as others will run it too) to just get a limit of 20 records. The query is:
Select * from tablename Limit 20
The problem is that the query returns column names in this format: tablename.columnname
I need JUST the column name to be returned, NOT the table name referenced at all. How is this achieved without going into a large "from" statement spelling out all of the columns(only other way I currently know)?
Thanks in advance!
Not the best but you could do a right click on the '*' of SELECT * and then expand all the column names:
My overall goal is to create new tables by selecting columns in existing tables with certain patterns/tags in their column names. This is in SQL Server.
For example, I have a common need to get all contact information out of a company table, and into its own contact table.
I haven't been able to find a programmatic approach in SQL to express excluding columns from a SELECT statement based on string.
When looking to options like the COL_NAME function, those require an ID arg, which kills that option for me.
Wishing there was something built in that could work like the following:
SELECT *
FROM TABLE
WHERE COL_NAME() LIKE 'FLAG%'
Any ideas? Open to anything! Thanks!!
One trick could be to firstly using the following code to get the column names you desire:
select * from information_schema.columns
where table_name='tbl' and column_name like 'FLAG%'
Then concatenate them into a comma-delimited string and finally create a dynamic sql query using the created string as the column names.
I have a hopefully pretty simple question here. I'm converting some Access SQL script into Server Management Studio 2008.
Currently the Access script shows the following line of code:
IIf([rsosourceID]) IN (254,360,446),"MoneySavingExpert" as SourceName
Basically it's creating a temporary table with four columns, if the fields match say those 3 numbers on the left then it will populate a fourth column with their new name. (To be used for grouping in a later report)
How can I do something simillar in SQL? I've tried using a Case statement but to my knowledge that will only alter the field you're looking against.
In this case I need to look at one field then using it's results alter another, any ideas?
A case statement can return a new column using the value of any other column(s):
SELECT rsoSourceID,
rsoDescription,
rsoCategory,
case when rsoSourceID in (254,360,446)
then 'MoneySavingExpert'
else null end as SourceName
FROM TableName