I am using a platform which accepts minimal SQL functions to write a SQL code. The UNPIVOT function cannot be used on the platform so I have to do this manually. I am thinking along the line of UNION ALL and then CROSS JOINING (which I attempted but ended up with the wrong record counts. Please see image attached.
Any help / pointer will be highly appreciated!
I don't know how you used UNION ALL but it can be done like this:
select col1, col2, col3 as NewCol from Table1
union all
select col1, col2, col4 from Table1
You could also use an ORDER BY clause, so that rows with the same col1 and col2 appear in subsequent rows:
select col1, col2, NewCol
from (
select col1, col2, col3 as NewCol, 1 as ord from Table1
union all
select col1, col2, col4, 2 from Table1
) t
order by col1, col2, ord
A portable approach uses union all:
select col1, col2, col3 as newcol from mytable
union all
select col1, col2, col4 from mytable
If your database supports lateral joins (also called cross apply in some databases) and values(), this can be simplified:
select t.col1, t.col2, x.newcol
from mytable t
cross join lateral (values(col3), (col4)) x(newcol)
You can use a cross join, but it requires some case logic. The exact syntax depends on the database, but something like this:
select t.col1, t.col2,
(case when n.n = 1 then t.col3 else t.col4 end) as newcol
from t cross join
(select 1 as n union all select 2) n;
To load another table, you would do one of the following:
insert these results into a table that has already been created.
Use select into or create table as depending on the database.
If you care about the ordering, then you can add order by t.col1, t.col2, n.n.
In most cases, a simple union all approach is fine (such as GMB suggests). That approach requires scanning the table twice, which incurs some additional overhead. However, if the "table" is really a complex query or view, then only processing it once is a bigger advantage.
Related
I'm trying to write a query that pulls data from a lot of tables, and has about 20 unions. It's pulling the same information repeatedly, but with more layers each time, to show a sort of tree.
I want to compare the final two columns. I'm using a case to do this, and if I add a case to this query then I get the error "query block has incorrect number of results columns". This seems to be because the final select in the union has an extra column (the compare case).
Is there any way to work around this? I don't want to add the case to each select, as this would add about 15 more columns that I don't want.
Use a sub-query:
SELECT col1,
col2,
CASE
WHEN col1 = 'somevalue'
THEN 'someresult'
ELSE 'otherresult'
END AS col3
FROM (
SELECT col1, col2 FROM table1 UNION ALL
SELECT col1, col2 FROM table2 UNION ALL
SELECT col1, col2 FROM table3
-- ...
);
Or use a sub-query factoring clause:
WITH data ( col1, col2 ) AS (
SELECT col1, col2 FROM table1 UNION ALL
SELECT col1, col2 FROM table2 UNION ALL
SELECT col1, col2 FROM table3
-- ...
)
SELECT col1,
col2,
CASE
WHEN col1 = 'somevalue'
THEN 'someresult'
ELSE 'otherresult'
END AS col3
FROM data;
I have two tables that are the same in their structure, but all I really want out of them is a distinct count from a single row from each into a multi-column result set.
I keep getting syntax errors, but so far haven't been able to get something that delivers the data I want, and makes it through the parser. I'm trying to figure out if this is a SQL problem (possible given that I'm using a website's implementation, rather than native MySQl/SQL/Oracle) or a me problem (much more likely).
So what I want is two unrelated (and un-primary-keyed) tables to return a COUNT(DISTINCT column) into a single result. I have tried a couple of different approaches:
select 1,2 FROM
(SELECT COUNT(DISTINCT col1) as 1 from table1),
(SELECT COUNT(DISTINCT col2) as 2 from table2)
SELECT *
FROM (
SELECT COUNT(DISTINCT col1) AS 1
FROM table1
)
CROSS JOIN (
SELECT COUNT(DISTINCT col2) AS 2
FROM table2
)
I have also messed around with 4-5 different uses of union || union all to no avail. Curious what thoughts someone more schooled in the arts of SQL might have. Thanks.
Depending on the database RDBM you are, a few things could change in syntax. In the ANSI Sql definition your query should be:
select col1, col2 FROM
(SELECT COUNT(DISTINCT col1) as col1 from table1) as tab1,
(SELECT COUNT(DISTINCT col2) as col22 from table2) as tab2
You have to add alias for all sub queries. Also name your columns with words, not number, it is easier to understand. Though I don't recall if a number is not allowed as an alias in SQL ANSI.
Without aliases for the subqueries you can use like this:
-- For MySql, PostgreSql, SQL Server (not sure though)
select (SELECT COUNT(DISTINCT col1)
from table1) as col1,
(SELECT COUNT(DISTINCT col2) as col22
from table2) as col2
-- For Oracle
select (SELECT COUNT(DISTINCT col1)
from table1) as col1,
(SELECT COUNT(DISTINCT col2) as col22
from table2) as col2
from dual
-- For DB2
select (SELECT COUNT(DISTINCT col1)
from table1) as col1,
(SELECT COUNT(DISTINCT col2) as col22
from table2) as col2
from sysibm.sysdummy1
Side note: you can use a number as an alias if you surround it with double quotes " (this is SQL ANSI and will work everywhere) like this:
select "1", "2" FROM
(SELECT COUNT(DISTINCT col1) as "1" from table1) a, --don't forget the table alias
(SELECT COUNT(DISTINCT col2) as "2" from table2) b
Mysql Also allows you to use back ticks:
select `1`, `2` FROM
(SELECT COUNT(DISTINCT col1) as `1` from table1) a,
(SELECT COUNT(DISTINCT col2) as `2` from table2) b
Sorry, I asked this question just before and got some good answers but then I realised I made a mistake with the query in question, if I change the question in the original post that could make the answers invalid so I'm posting again with the right query this time, please forgive me, I hope this is acceptable.
DECLARE #Temp TABLE
(MeasureDate, col1, col2, type)
INSERT INTO #Temp
SELECT MeasureDate, col1, col2, 1
FROM Table1
WHERE Col3 = 1
INSERT INTO #Temp
SELECT MeasureDate, col1, col2, 3
FROM Table1
WHERE Col3 = 1
AND Col4 = 7000
SELECT SUM(col1) / SUM(col2) AS Percentage, MeasureDate, Type
FROM #Temp
GROUP BY MeasureDate, Type
I do two inserts into the temp table, 2nd insert with an extra WHERE but same columns same table, but different type, then I do SUM(col1) / SUM(col2) on the temp table to return the result I need per MeasureDate and type. Is there a way to merge all these inserts and selects into one statement so I don't use a temp table and do a single select from Table1? Or even if I still need the temp table, merge the selects into one select instead of two separate selects? Stored procedure works fine as it is, just looking for a way to shorten it.
Thanks.
Sure can. I might start with combining the two queries from your inserts using UNION ALL (this variation of UNION will not remove duplicates), wrapped up in a CTE from which you can perform your final query:
WITH MeasureData(MeasureDate, col1, col2, type) AS (
SELECT MeasureDate, col1, col2, 1
FROM Table1
WHERE Col3 = 1
UNION ALL
SELECT MeasureDate, col1, col2, 3
FROM Table1
WHERE Col3 = 1
AND Col4 = 7000
)
SELECT SUM(col1) / SUM(col2) AS Percentage, MeasureDate, Type
FROM MeasureData
GROUP BY MeasureDate, Type
That's it, no more table variable or insert statements.
No real need for a UNION, you can handle this with a CASE statement:
SELECT SUM(col1) / SUM(col2) AS Percentage, MeasureDate, Type
FROM (
SELECT MeasureDate, col1, col2, case when Col4 = 7000 then 3 else 1 end type
FROM Table1
WHERE Col3 = 1
) t
GROUP BY MeasureDate, Type
Edit, as Gordon correctly points out, for Type = 1, this query wouldn't produce the same results. Here's a variation on Gordon's good answer that might be easier to visually understand using a CROSS JOIN and IF logic:
SELECT T1.MeasureDate,
T.Type,
SUM(IF(T.Type=1,Col1,IF(T.Type=3 AND T1.Col4=7000,T1.Col1,0))) /
SUM(IF(T.Type=1,Col2,IF(T.Type=3 AND T1.Col4=7000,T1.Col2,0))) AS Percentage
FROM Table1 T1
CROSS JOIN (SELECT 1 Type UNION SELECT 3) T
WHERE T1.Col3 = 1
GROUP BY T1.MeasureDate, T.Type
Condensed SQL Fiddle
Your method is double counting cases where col3 = 1 and col4 = 7000. Here is a method that takes this into account, without union on the overall table:
select t.type, SUM(t1.col1) / SUM(t1.col2) AS Percentage, t1.MeasureDate, t.Type
from table1 t1 join
(select 1 as type union all
select 3 as type
) t
on t.type = 1 or t1.col4 = 7000
where t1.col3 = 1
group by measuredate, type;
Experts, I have a single table with multiple columns. col1, col2, col3, col4, col5, col6
I need to select distinct (col4), but I need all other columns also on my output.
If I run, this ( select distinct(col4 ) from table1 ), then I get only col4 on my output.
May I know, how to do it on db2?.
Thank you
You simply do this...
Select * From Table1 Where col4 In (Select Distinct(col4) From Table1)
I'm not sure if you will be able to do this.
You might try to run group by on this column. You will be able to run some aggregate functions on other columns.
select count(col1), col4 from table1 group by (col4);
none of the answers worked for me so here is one that i got working. use group by on col4 while taking max values of other columns
select max(col1) as col1,max(col2) as col2,max(col3) as col3
, col4
from
table1
group by col4
At least in DB2, you can execute
SELECT
DISTINCT *
FROM
<YOUR TABLE>
Which will give you every distinct combination of your (in this case) 6 columns.
Otherwise, you'll have to specify what columns you want to include. If you do that, you can either use select distinct or group by.
I have two tables with the same columns, and I need to copy one table's rows to the other table's rows to create one big table with all the values from both tables. Right now I am doing this query to return the same thing:
SELECT col1, col2, col3 from Table1
union
SELECT col1, col2, col3 from Table2
However, it seems horribly inefficient, and on my system is very slow (returns 1210189 records).
May it work to just do:
SELECT col1, col2, col3
INTO Table1
FROM Table2
Start with union all:
select col1, col2, col3 from Table1
union all
select col1, col2, col3 from Table2
Your query is trying to deduplicate things, which would slow it down considerably.
I think the best option is to create a view in sql server, this will optimize the performance of the query:
SELECT col1, col2, col3 from Table1
union all
SELECT col1, col2, col3 from Table2
(As other users said: "union" is used to select distinct values from two tables
where as "union all" is used to select all values including
duplicates from the tables.)
At the same time I would restrict the number of rows I get from the database if i am writing them for a web and if this is giving me problems, with the new functions of Sql Server 2005 row_number(), with this I would page results.
You could use this to fill the second table:
Insert into table2 select * from table1;
Or if you want to be more specific:
Insert into table2(col1, col2, col3) select col1, col2, col3 from table1;
(Note: some DBMSs might require putting parenthesis around the SELECT clause.)
select * into new table(your new table name)
from table1.col1,table1.col2,table2.col1;
here columns can be your required columns .
select * into newtable from table1
union all
select * from table2
Worked well. Guidelines, both tables have exact same column names :)