Mysql union does not sum same values - mysql

Below is my sample code for mysql
SELECT ROUND(SUM(final.spend),4) as tot_spend
FROM
(SELECT 1 as spend FROM `tab1` as tds WHERE 1
UNION
SELECT 1 as spend FROM `tab2` as obm WHERE 1
) as final
For better understanding I replace the column value as 1 in query, because value from both tables are same,If run above query I get result 1, it does not sum the value, if I change any one table value for Eg. change tab2 value as 2 and run means it shows 3, for my understanding if the value from both tables are same means SUM wont work , differ means its SUM the value from the tables, is the default one or my understanding is wrong? Anyone help to solve my issue, I need to sum any value(same or differ) from both table.

The UNION operator selects only distinct values by default. To allow duplicate values, use UNION ALL:
SELECT ROUND(SUM(final.spend),4) as tot_spend
FROM
(SELECT 1 as spend FROM `tab1` as tds WHERE 1
UNION ALL
SELECT 1 as spend FROM `tab2` as obm WHERE 1
) as final
This will give you the correct sum.

Related

SELECT SUM WHERE multiple values even if are equals

I want to sum the duration of multiple selection.
BMPR-00028.mp4 = 7 seconds
SELECT SUM(durata_video_secondi) as durata_video_secondi
from catalog
WHERE file_video in ('BMPR-00028.mp4','BMPR-00028.mp4')
with this query the result is 7 but I want the SUM of values so I want 14 as result.
I try with
SELECT SUM(durata_video_secondi) as durata_video_secondi
from catalog
WHERE file_video ='BMPR-00028.mp4' OR file_video ='BMPR-00028.mp4'
but the result is always 7 because the values are the same. But I need the sum of values so I need 14 as result.
Can you help me?
Thanks
It doesn't matter how many times you reference the same row, the query will only return one row. SQL is declarative; it doesn't iterate through the list of file_video, you're asking it for all the rows which match the list. There's only one row that matches no matter how many times you ask for it.
Instead, you need to turn the values into rows and join against them; this ensures there is one row for every value, even duplicates. You can do this by inserting them into a temp table, or for small numbers of values you can join with a subquery and union all.
select sum(durata_video_secondi)
from catalog c
join (
select 'BMPR-00028.mp4' as file_video
union all
select 'BMPR-00028.mp4' as file_video
) v on c.file_video = v.file_video;
Demonstration.

mysql outfile how more records then the count [duplicate]

What is the difference between UNION and UNION ALL?
UNION removes duplicate records (where all columns in the results are the same), UNION ALL does not.
There is a performance hit when using UNION instead of UNION ALL, since the database server must do additional work to remove the duplicate rows, but usually you do not want the duplicates (especially when developing reports).
To identify duplicates, records must be comparable types as well as compatible types. This will depend on the SQL system. For example the system may truncate all long text fields to make short text fields for comparison (MS Jet), or may refuse to compare binary fields (ORACLE)
UNION Example:
SELECT 'foo' AS bar UNION SELECT 'foo' AS bar
Result:
+-----+
| bar |
+-----+
| foo |
+-----+
1 row in set (0.00 sec)
UNION ALL example:
SELECT 'foo' AS bar UNION ALL SELECT 'foo' AS bar
Result:
+-----+
| bar |
+-----+
| foo |
| foo |
+-----+
2 rows in set (0.00 sec)
Both UNION and UNION ALL concatenate the result of two different SQLs. They differ in the way they handle duplicates.
UNION performs a DISTINCT on the result set, eliminating any duplicate rows.
UNION ALL does not remove duplicates, and it therefore faster than UNION.
Note: While using this commands all selected columns need to be of the same data type.
Example: If we have two tables, 1) Employee and 2) Customer
Employee table data:
Customer table data:
UNION Example (It removes all duplicate records):
UNION ALL Example (It just concatenate records, not eliminate duplicates, so it is faster than UNION):
UNION removes duplicates, whereas UNION ALL does not.
In order to remove duplicates the result set must be sorted, and this may have an impact on the performance of the UNION, depending on the volume of data being sorted, and the settings of various RDBMS parameters ( For Oracle PGA_AGGREGATE_TARGET with WORKAREA_SIZE_POLICY=AUTO or SORT_AREA_SIZE and SOR_AREA_RETAINED_SIZE if WORKAREA_SIZE_POLICY=MANUAL ).
Basically, the sort is faster if it can be carried out in memory, but the same caveat about the volume of data applies.
Of course, if you need data returned without duplicates then you must use UNION, depending on the source of your data.
I would have commented on the first post to qualify the "is much less performant" comment, but have insufficient reputation (points) to do so.
In ORACLE: UNION does not support BLOB (or CLOB) column types, UNION ALL does.
The basic difference between UNION and UNION ALL is union operation eliminates the duplicated rows from the result set but union all returns all rows after joining.
from http://zengin.wordpress.com/2007/07/31/union-vs-union-all/
UNION
The UNION command is used to select related information from two tables, much like the JOIN command. However, when using the UNION command all selected columns need to be of the same data type. With UNION, only distinct values are selected.
UNION ALL
The UNION ALL command is equal to the UNION command, except that UNION ALL selects all values.
The difference between Union and Union all is that Union all will not eliminate duplicate rows, instead it just pulls all rows from all tables fitting your query specifics and combines them into a table.
A UNION statement effectively does a SELECT DISTINCT on the results set. If you know that all the records returned are unique from your union, use UNION ALL instead, it gives faster results.
You can avoid duplicates and still run much faster than UNION DISTINCT (which is actually same as UNION) by running query like this:
SELECT * FROM mytable WHERE a=X UNION ALL SELECT * FROM mytable WHERE b=Y AND a!=X
Notice the AND a!=X part. This is much faster then UNION.
Just to add my two cents to the discussion here: one could understand the UNION operator as a pure, SET-oriented UNION - e.g. set A={2,4,6,8}, set B={1,2,3,4}, A UNION B = {1,2,3,4,6,8}
When dealing with sets, you would not want numbers 2 and 4 appearing twice, as an element either is or is not in a set.
In the world of SQL, though, you might want to see all the elements from the two sets together in one "bag" {2,4,6,8,1,2,3,4}. And for this purpose T-SQL offers the operator UNION ALL.
UNION - results in distinct records while
UNION ALL - results in all the records including duplicates.
Both are blocking operators and hence I personally prefer using JOINS over Blocking Operators(UNION, INTERSECT, UNION ALL etc. ) anytime.
To illustrate why Union operation performs poorly in comparison to Union All checkout the following example.
CREATE TABLE #T1 (data VARCHAR(10))
INSERT INTO #T1
SELECT 'abc'
UNION ALL
SELECT 'bcd'
UNION ALL
SELECT 'cde'
UNION ALL
SELECT 'def'
UNION ALL
SELECT 'efg'
CREATE TABLE #T2 (data VARCHAR(10))
INSERT INTO #T2
SELECT 'abc'
UNION ALL
SELECT 'cde'
UNION ALL
SELECT 'efg'
Following are results of UNION ALL and UNION operations.
A UNION statement effectively does a SELECT DISTINCT on the results set. If you know that all the records returned are unique from your union, use UNION ALL instead, it gives faster results.
Using UNION results in Distinct Sort operations in the Execution Plan. Proof to prove this statement is shown below:
Not sure that it matters which database
UNION and UNION ALL should work on all SQL Servers.
You should avoid of unnecessary UNIONs they are huge performance leak. As a rule of thumb use UNION ALL if you are not sure which to use.
(From Microsoft SQL Server Book Online)
UNION [ALL]
Specifies that multiple result sets are to be combined and returned as a single result set.
ALL
Incorporates all rows into the results. This includes duplicates. If not specified, duplicate rows are removed.
UNION will take too long as a duplicate rows finding like DISTINCT is applied on the results.
SELECT * FROM Table1
UNION
SELECT * FROM Table2
is equivalent of:
SELECT DISTINCT * FROM (
SELECT * FROM Table1
UNION ALL
SELECT * FROM Table2) DT
A side effect of applying DISTINCT over results is a sorting operation on results.
UNION ALL results will be shown as arbitrary order on results But UNION results will be shown as ORDER BY 1, 2, 3, ..., n (n = column number of Tables) applied on results. You can see this side effect when you don't have any duplicate row.
I add an example,
UNION, it is merging with distinct --> slower, because it need comparing (In Oracle SQL developer, choose query, press F10 to see cost analysis).
UNION ALL, it is merging without distinct --> faster.
SELECT to_date(sysdate, 'yyyy-mm-dd') FROM dual
UNION
SELECT to_date(sysdate, 'yyyy-mm-dd') FROM dual;
and
SELECT to_date(sysdate, 'yyyy-mm-dd') FROM dual
UNION ALL
SELECT to_date(sysdate, 'yyyy-mm-dd') FROM dual;
UNION merges the contents of two structurally-compatible tables into a single combined table.
Difference:
The difference between UNION and UNION ALL is that UNION will omit duplicate records whereas UNION ALL will include duplicate records.
Union Result set is sorted in ascending order whereas UNION ALL Result set is not sorted
UNION performs a DISTINCT on its Result set so it will eliminate any duplicate rows. Whereas UNION ALL won't remove duplicates and therefore it is faster than UNION.*
Note: The performance of UNION ALL will typically be better than UNION, since UNION requires the server to do the additional work of removing any duplicates. So, in cases where it is certain that there will not be any duplicates, or where having duplicates is not a problem, use of UNION ALL would be recommended for performance reasons.
Suppose that you have two table Teacher & Student
Both have 4 Column with different Name like this
Teacher - ID(int), Name(varchar(50)), Address(varchar(50)), PositionID(varchar(50))
Student- ID(int), Name(varchar(50)), Email(varchar(50)), PositionID(int)
You can apply UNION or UNION ALL for those two table which have same number of columns. But they have different name or data type.
When you apply UNION operation on 2 tables, it neglects all duplicate entries(all columns value of row in a table is same of another table). Like this
SELECT * FROM Student
UNION
SELECT * FROM Teacher
the result will be
When you apply UNION ALL operation on 2 tables, it returns all entries with duplicate(if there is any difference between any column value of a row in 2 tables). Like this
SELECT * FROM Student
UNION ALL
SELECT * FROM Teacher
Output
Performance:
Obviously UNION ALL performance is better that UNION as they do additional task to remove the duplicate values. You can check that from Execution Estimated Time by press ctrl+L at MSSQL
UNION removes duplicate records in other hand UNION ALL does not. But one need to check the bulk of data that is going to be processed and the column and data type must be same.
since union internally uses "distinct" behavior to select the rows hence it is more costly in terms of time and performance.
like
select project_id from t_project
union
select project_id from t_project_contact
this gives me 2020 records
on other hand
select project_id from t_project
union all
select project_id from t_project_contact
gives me more than 17402 rows
on precedence perspective both has same precedence.
If there is no ORDER BY, a UNION ALL may bring rows back as it goes, whereas a UNION would make you wait until the very end of the query before giving you the whole result set at once. This can make a difference in a time-out situation - a UNION ALL keeps the connection alive, as it were.
So if you have a time-out issue, and there's no sorting, and duplicates aren't an issue, UNION ALL may be rather helpful.
One more thing i would like to add-
Union:- Result set is sorted in ascending order.
Union All:- Result set is not sorted. two Query output just gets appended.
Important! Difference between Oracle and Mysql: Let's say that t1 t2 don't have duplicate rows between them but they have duplicate rows individual. Example: t1 has sales from 2017 and t2 from 2018
SELECT T1.YEAR, T1.PRODUCT FROM T1
UNION ALL
SELECT T2.YEAR, T2.PRODUCT FROM T2
In ORACLE UNION ALL fetches all rows from both tables. The same will occur in MySQL.
However:
SELECT T1.YEAR, T1.PRODUCT FROM T1
UNION
SELECT T2.YEAR, T2.PRODUCT FROM T2
In ORACLE, UNION fetches all rows from both tables because there are no duplicate values between t1 and t2. On the other hand in MySQL the resultset will have fewer rows because there will be duplicate rows within table t1 and also within table t2!
UNION ALL also works on more data types as well. For example when trying to union spatial data types. For example:
select a.SHAPE from tableA a
union
select b.SHAPE from tableB b
will throw
The data type geometry cannot be used as an operand to the UNION, INTERSECT or EXCEPT operators because it is not comparable.
However union all will not.

Select least 6 values across 100 columns in a MySQL row

I have a table with 103 columns. First column (rowID) is the row index, the next one contains a date, and the third one contains a string (a name), then there are 100 columns (named A1 to A100) that each contain an integer. I am trying to write a query to fetch the lowest 6 values among those 100 columns, for each row.
Here is what I tried. I had to write out all 100 columns (is there a better way?), and this only gets me the smallest 1, and NOT the smallest 6:
SELECT LEAST(A1,A2,A3,A4,...A100) FROM myTable WHERE rowID=1
I am thinking maybe I can use 5 queries to run the least command each time, returning the result to the backend which will then exclude the column that contained the least value in the previous query. However I am not sure this is the best way because I am trying to keep it all within MySQL. Is there a way to use sub-queries to do this? Or another effective method. Any help would be appreciated!
Edit: I also need to know the columns from which those minimum 6 values were obtained.
You seem to be storing a multi-valued attribute in a denormalized way.
If you need to do set-oriented comparisons on these values, they should be stored in rows, not columns.
You can "unpivot" them, so each value is on its own row, like this:
SELECT 1 AS ValNo, A1 AS Val FROM MyTable WHERE rowID=1
UNION ALL
SELECT 2, A2 FROM MyTable WHERE rowID=1
UNION ALL
SELECT 3, A3 FROM MyTable WHERE rowID=1
UNION ALL
SELECT 4, A4 FROM MyTable WHERE rowID=1
UNION ALL
...
UNION ALL
SELECT 100, A100 FROM MyTable WHERE rowID=1
Then by putting that into a subquery, get the lowest 6 values.
SELECT ValNo, Val
FROM ( ... subquery above ... ) AS t
ORDER BY Val
LIMIT 6
You would be better off to store a table with one column for the value, and up to 100 rows for each rowId:
CREATE TABLE MyNewTable (
RowId INT,
OrdinalId TINYINT, -- 1 to 100
Aval INT,
PRIMARY KEY (RowId, OrdinalId)
);
Then you can query it more simply:
SELECT OrdinalId, Aval
FROM MyNewTable
WHERE RowId = 1
ORDER BY Aval
LIMIT 6;

How to get max value of a column from two tables

I have one table named 'posts' and one table named 'threads'. Both have the column called 'total_id' which is an integer.
Now, how to get from those two tables the 1 highest value (max) in the 'total_id' column? (MySQL)
You can get it as follows:
SELECT Greatest(
(SELECT Max(total_id) FROM posts),
(SELECT Max(total_id) FROM threads)
)
Though it's not really very clear what's your expected result but in case you want max of total_id including both tables data? If yes, then you can do a UNION and then get the highest value like
select max(total_id) as max_total_id from (
select total_id from posts
union
select total_id from threads ) xxx;

Adding values after a MySQL query?

I have created a query that gets two values. It outputs the correct values but now i want to add these values together to get one value in a column named "Total Cost". Is this possible if "Total Cost" is not a column in my tables?
Here is the query i used:
SELECT ROUND(SUM(drugcost_cost),0) FROM drugcost UNION SELECT ROUND(SUM(operation_cost),0) FROM operation
Do this with subqueries:
SELECT d.dcost, o.ocost, (d.dcost + o.ocost) as totalcost
FROM (SELECT ROUND(SUM(drugcost_cost),0) as dcost FROM drugcost) d CROSS JOIN
(SELECT ROUND(SUM(operation_cost),0) as ocost FROM operation) o;
By the way, your query is an excellent example of why you should always use union all unless you really know why you want union instead. If the values from the two subqueries are the same, then union will remove duplicates -- and you will get only one row.