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:
Related
I need dynamically obtain table name from system table and perform a select query on this table example:
SELECT "schema"+'.'+"table" FROM SVV_TABLE_INFO WHERE "table" LIKE '%blabla%'
it returns my_schema.the_main_blabla_table
And after I get this table name I need to perform :
SELECT * FROM my_schema.the_main_blabla_table LIMIT 100
Is it possible to in a single query?
If you are talking about select subquery after "from" i can say that you can do this.
You will get something like this:
SELECT * FROM
(
SELECT "schema"+'.'+"table" FROM SVV_TABLE_INFO WHERE "table" LIKE '%blabla%'
)
LIMIT 100
Unfortunately, i can't test it on yor data, but i very interested in result because i have never done something like this. If i get your question incorrect, tell me pls.
Amazon Redshift does not support the ability to take the output of a query and use it as part of another query.
Your application will need to query Redshift to obtain the relevant table name(s), then make another call to Redshift to query that table.
I never notice below before:
SELECT A,*
FROM Table
ORDER BY A
It gives me the Ambiguous column name error. The * of course contains A, but will sql server take the same column A in above query as two different columns? Is this the reason behind that?
it is because the output has the same name if you did
SELECT A AS A_STANDS_ALONE,*
FROM Table
ORDER BY A
It will work
If you are looking for yes/no answer, then 'YES', you are right.
SQL Selects A column twice, one by explicit and one by the implicit * call.
SQL doesn't understand which one you want to sort by.
The first comment to your post shows that you can use an alias for the column.
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
Does SQLite offer a way to search every column of a table for a searchkey?
SELECT * FROM table WHERE id LIKE ...
Selects all rows where ... was found in the column id. But instead to only search in the column id, I want to search in every column if the searchstring was found. I believe this does not work:
SELECT * FROM table WHERE * LIKE ...
Is that possible? Or what would be the next easy way?
I use Python 3 to query the SQLite database. Should I go the route to search through the dictionary after the query was executed and data returned?
A simple trick you can do is:
SELECT *
FROM table
WHERE ((col1+col2+col3+col4) LIKE '%something%')
This will select the record if any of these 4 columns contain the word "something".
No; you would have to list or concatenate every column in the query, or reorganize your database so that you have fewer columns.
SQLite has full-text search tables where you can search all columns at once, but such tables do not work efficiently with any other queries.
I could not comment on #raging-bull answer. So I had to write a new one. My problem was, that I have columns with null values and got no results because the "search string" was null.
Using coalesce I could solve that problem. Here sqlite chooses the column content, or if it is null an empty string (""). So there is an actual search string available.
SELECT *
FROM table
WHERE (coalesce(col1,"") || coalesce(col2,"") || coalesce(col3,"") || coalesce(col4,"")) LIKE '%something%')
I'm not quite sure, if I understood your question.
If you want the whole row returned, when id=searchkey, then:
select * from table where id=searchkey;
If you want to have specific columns from the row with the correct searchkey:
select col1, col2, col3 from table where id=searchkey;
If you want to search multiple columns for the "id": First narrow down which columns this could be found in - you don't want to search the whole table! Then:
select * from table where col1=searchkey or col2=searchkey or col3=searchkey;
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...