I have a complicated aggregate-functions query that produces a result-set, and which has to be amended with a single row that contains the totals and averages of that result-set.
My idea is to assign an alias to the result-set, and then use that alias in a second query, after a UNION ALL statement.
But, I can't successfully use the alias, in the subsequent SELECT statement, after the UNION ALL statement.
For the sake of simplicity, I won't post the original query here, just a simplified list of the variants I've tried:
SELECT * FROM fees AS Test1 WHERE Percentage = 15
UNION ALL
(SELECT * FROM fees AS Test2 WHERE Percentage > 15)
UNION ALL
(SELECT * FROM (SELECT * FROM fees AS Test3 WHERE Percentage < 10) AS Test4)
UNION ALL
SELECT * FROM Test3
The result is:
MySQL said: Documentation
#1146 - Table 'xxxxxx.Test3' doesn't exist
The result is the same if the last query references to the table Test1, Test2, or Test4.
So, how should I assign an alias to a result-set/derived table in earlier queries and use that same alias in latter queries, all within a UNION query?
Amendment:
My primary query is:
SELECT
COALESCE(referrers.name,order_items.ReferrerID),
SUM(order_items.quantity) as QtySold,
ROUND(SUM((order_items.quantity*order_items.price+order_items.shippingcosts)/((100+order_items.vat)/100)), 2) as TotalRevenueNetto,
ROUND(100*SUM(order_items.quantity*order_items.purchasepricenet)/SUM((order_items.quantity*order_items.price+order_items.shippingcosts)/((100+order_items.vat)/100)), 1) as PurchasePrice,
ROUND(100*SUM(order_items.quantity*COALESCE(order_items.calculatedfee,0)+order_items.quantity*COALESCE(order_items.calculatedcost,0))/SUM((order_items.quantity*order_items.price+order_items.shippingcosts)/((100+order_items.vat)/100)), 1) as Costs,
ROUND(100*SUM(order_items.calculatedprofit) / SUM( (order_items.quantity*order_items.price + order_items.shippingcosts)/((100+order_items.vat)/100) ) , 1) as Profit,
COALESCE(round(100*Returns.TotalReturns_Qty/SUM(order_items.quantity),2),0) as TotalReturns
FROM order_items LEFT JOIN (SELECT order_items.ReferrerID as ReferrerID, sum(order_items.quantity) as TotalReturns_Qty FROM order_items WHERE OrderType='returns' and OrderTimeStamp>='2017-12-1 00:00:00' GROUP BY order_items.ReferrerID) as Returns ON Returns.ReferrerID = order_items.ReferrerID LEFT JOIN `referrers` on `referrers`.`referrerId` = `order_items`.`ReferrerID`
WHERE ( ( order_items.BundleItemID in ('-1', '0') and order_items.OrderType in ('order', '') ) or ( order_items.BundleItemID is NULL and order_items.OrderType = 'returns' ) ) and order_items.OrderTimestamp >= '2017-12-1 00:00:00'
GROUP BY order_items.ReferrerID
ORDER BY referrers.name ASC
I want to make a grand-total of all the rows resulting from query above with:
SELECT 'All marketplaces', SUM(QtySold), SUM(TotalRevenueNetto), AVG(PurchasePrice), AVG(Costs), AVG(Profit), AVG(TotalReturns) FROM PrimaryQuery
I want to do this with a single query.
Your query is well-written. You may be able to get a total line by using a surrounding query with a dummy GROUP BY clause and WITH ROLLUP:
SELECT
COALESCE(Referrer, 'All marketplaces'),
SUM(QtySold) AS QtySold,
SUM(TotalRevenueNetto) AS TotalRevenueNetto,
AVG(PurchasePrice) AS PurchasePrice,
AVG(Costs) AS Costs,
AVG(Profit) AS Profit,
AVG(TotalReturns) AS TotalReturns
FROM
(
SELECT
COALESCE(referrers.name,order_items.ReferrerID) AS Referrer,
SUM(order_items.quantity) AS QtySold,
...
) PrimaryQuery
GROUP BY Referrer ASC WITH ROLLUP;
I'm not entirely sure what you are attempting to solve, but I guess something like the following:
Hypothetical 'main' query:
SELECT T1.ID
, Sum(total_grade)/COUNT(subjects) as AverageGrade
FROM A_Table T1
JOIN AnotherTable T2
ON T2.id = T1.id
GROUP BY T1.ID
You want sub resultsets, without having to keep querying the same data.
Edit: I mistakenly thought the linked documentation and method mentioned below was for the current version of mySQL. It is however a draft for a future version, and CTE's are not currently supported.
In the absence of CTE support, I would probably just insert the resultset into a temporary table. Something like:
CREATE TABLE TEMP_TABLE(ID INT, AverageGrade DECIMAL(15, 3))
INSERT INTO TEMP_TABLE
SELECT T1.ID
, Sum(total_grade)/COUNT(subjects) as AverageGrade
FROM A_Table T1
JOIN AnotherTable T2
ON T2.id = T1.id
GROUP BY T1.ID
SELECT ID, AverageGrade FROM TEMP_TABLE WHERE AverageGrade > 5
UNION ALL
SELECT COUNT(ID) AS TotalCount, SUM(AverageGrade) AS Total_AVGGrade FROM TEMP_TABLE
DROP TABLE TEMP_TABLE
(Disclaimer: I'm not too familiar with mySQL, there may be some syntax errors here. The general idea should be clear, though.)
That is, of course, if i had to do it like this, there are probably better ways to achieve the same. See Thorsten Kettner's comments on the matter.
(Previous answer assuming CTE is a posibility:)
A CTE approach looks like:
WITH CTE AS
(
SELECT T1.ID
, Sum(total_grade)/COUNT(subjects) as AverageGrade
FROM A_Table T1
JOIN AnotherTable T2
ON T2.id = T1.id
GROUP BY T1.ID
)
SELECT ID, AverageGrade FROM CTE WHERE AverageGrade > 5
UNION ALL
SELECT COUNT(ID) AS TotalCount, SUM(AverageGrade) AS Total_AVGGrade FROM CTE
You have the error because every query involved in UNION doens't know the alias of other.
DB Engine execute, in your case, 4 queries and then paste them with UNION operation.
Your real table is fees. Test3 is an alias used in the third query.
If you want to process the results of UNION operation, you must encapsulate your queries in a MAIN query.
It looks like you need something like below. Please try
SELECT * FROM fees AS Test2 WHERE Percentage >= 15
UNION ALL
SELECT * FROM fees AS Test3 WHERE Percentage < 10
You can't use a table alias based on a subquery (is not in the scope of the outer united select) you must repeat the code eg:
SELECT * FROM fees AS Test1 WHERE Percentage = 15
UNION ALL
SELECT * FROM fees AS Test2 WHERE Percentage > 15
UNION ALL
SELECT * FROM (
SELECT * FROM fees AS Test3 WHERE Percentage < 10
) AS Test4
UNION ALL
SELECT * FROM fees AS Test3 WHERE Percentage < 10
Related
I am running this query on MySQL
SELECT ID FROM (
SELECT ID, msisdn
FROM (
SELECT * FROM TT2
)
);
and it is giving this error:
Every derived table must have its own alias.
What's causing this error?
Every derived table (AKA sub-query) must indeed have an alias. I.e. each query in brackets must be given an alias (AS whatever), which can the be used to refer to it in the rest of the outer query.
SELECT ID FROM (
SELECT ID, msisdn FROM (
SELECT * FROM TT2
) AS T
) AS T
In your case, of course, the entire query could be replaced with:
SELECT ID FROM TT2
I think it's asking you to do this:
SELECT ID
FROM (SELECT ID,
msisdn
FROM (SELECT * FROM TT2) as myalias
) as anotheralias;
But why would you write this query in the first place?
Here's a different example that can't be rewritten without aliases ( can't GROUP BY DISTINCT).
Imagine a table called purchases that records purchases made by customers at stores, i.e. it's a many to many table and the software needs to know which customers have made purchases at more than one store:
SELECT DISTINCT customer_id, SUM(1)
FROM ( SELECT DISTINCT customer_id, store_id FROM purchases)
GROUP BY customer_id HAVING 1 < SUM(1);
..will break with the error Every derived table must have its own alias. To fix:
SELECT DISTINCT customer_id, SUM(1)
FROM ( SELECT DISTINCT customer_id, store_id FROM purchases) AS custom
GROUP BY customer_id HAVING 1 < SUM(1);
( Note the AS custom alias).
I arrived here because I thought I should check in SO if there are adequate answers, after a syntax error that gave me this error, or if I could possibly post an answer myself.
OK, the answers here explain what this error is, so not much more to say, but nevertheless I will give my 2 cents, using my own words:
This error is caused by the fact that you basically generate a new table with your subquery for the FROM command.
That's what a derived table is, and as such, it needs to have an alias (actually a name reference to it).
Given the following hypothetical query:
SELECT id, key1
FROM (
SELECT t1.ID id, t2.key1 key1, t2.key2 key2, t2.key3 key3
FROM table1 t1
LEFT JOIN table2 t2 ON t1.id = t2.id
WHERE t2.key3 = 'some-value'
) AS tt
At the end, the whole subquery inside the FROM command will produce the table that is aliased as tt and it will have the following columns id, key1, key2, key3.
Then, with the initial SELECT, we finally select the id and key1 from that generated table (tt).
I am running this query on MySQL
SELECT ID FROM (
SELECT ID, msisdn
FROM (
SELECT * FROM TT2
)
);
and it is giving this error:
Every derived table must have its own alias.
What's causing this error?
Every derived table (AKA sub-query) must indeed have an alias. I.e. each query in brackets must be given an alias (AS whatever), which can the be used to refer to it in the rest of the outer query.
SELECT ID FROM (
SELECT ID, msisdn FROM (
SELECT * FROM TT2
) AS T
) AS T
In your case, of course, the entire query could be replaced with:
SELECT ID FROM TT2
I think it's asking you to do this:
SELECT ID
FROM (SELECT ID,
msisdn
FROM (SELECT * FROM TT2) as myalias
) as anotheralias;
But why would you write this query in the first place?
Here's a different example that can't be rewritten without aliases ( can't GROUP BY DISTINCT).
Imagine a table called purchases that records purchases made by customers at stores, i.e. it's a many to many table and the software needs to know which customers have made purchases at more than one store:
SELECT DISTINCT customer_id, SUM(1)
FROM ( SELECT DISTINCT customer_id, store_id FROM purchases)
GROUP BY customer_id HAVING 1 < SUM(1);
..will break with the error Every derived table must have its own alias. To fix:
SELECT DISTINCT customer_id, SUM(1)
FROM ( SELECT DISTINCT customer_id, store_id FROM purchases) AS custom
GROUP BY customer_id HAVING 1 < SUM(1);
( Note the AS custom alias).
I arrived here because I thought I should check in SO if there are adequate answers, after a syntax error that gave me this error, or if I could possibly post an answer myself.
OK, the answers here explain what this error is, so not much more to say, but nevertheless I will give my 2 cents, using my own words:
This error is caused by the fact that you basically generate a new table with your subquery for the FROM command.
That's what a derived table is, and as such, it needs to have an alias (actually a name reference to it).
Given the following hypothetical query:
SELECT id, key1
FROM (
SELECT t1.ID id, t2.key1 key1, t2.key2 key2, t2.key3 key3
FROM table1 t1
LEFT JOIN table2 t2 ON t1.id = t2.id
WHERE t2.key3 = 'some-value'
) AS tt
At the end, the whole subquery inside the FROM command will produce the table that is aliased as tt and it will have the following columns id, key1, key2, key3.
Then, with the initial SELECT, we finally select the id and key1 from that generated table (tt).
I have 14000 records in my sql table. They have columns ID, test_subject_id and date_created. I want to fetch all the records that have been created within a time difference of 3 minutes(difference in date_created values) and both records should have the same test_subject_id.
You should use a self join, I assume inner join is what will work for you:
SELECT a.ID, a.date_created, b.ID, b.date_created
FROM accounts a
INNER JOIN accounts b
ON a.test_subject_id = b.test_subject_id
AND TIMESTAMPDIFF(MINUTE,a.date_created,b.date_created) = 3
Note: TIMESTAMPDIFF is used assuming date_created has type datetime, details here.
You can use EXISTS:
SELECT t1.*
FROM tablename t1
WHERE EXISTS (
SELECT 1
FROM tablename t2
WHERE t2.test_subject_id = t1.test_subject_id
AND ABS(TIMESTAMPDIFF(SECOND, t1.date_created, t2.date_created)) <= 180
)
ORDER BY t1.test_subject_id, t1.date_created;
I am Using the below table
The case_id for two rows. If the case Id is same then I would want to fetch the row that has Test_script_type as automation and ignore the manual. How can I achieve it with a SQL query..If there is only manual fetch the manual row. How can I achieve it with a SQL query. The Output would be like :
Help is appreciated. Thanks for your time In-advance
You could adress this with not exists:
select t.*
from mytable t
where
script_type = 'Automation'
or not exists (
select 1
from mytable t1
where
t1.case_id = t.case_id
and t1.script_name <> t.script_name
and t1.script_type = 'Automation'
)
You can also filter with a correlated subquery:
select t.*
from mytable t
where t.script_type = (
select min(t1.script_type) -- This gives priority to 'Automation' against 'Manual'
from mytable t1
where t1.case_id = t.case_id
)
SELECT t1.*
FROM `table` t1
LEFT JOIN `table` t2 ON t1.case_id = t2.case_id AND t1.script_type != t2.script_type
WHERE t1.script_type = 'automation' OR t2.case_id IS NULL
You could do something like the following:
WITH cte AS (
SELECT T1.CASE_ID, T1.SCRIPT_NAME, T1.SCRIPT_TYPE,
COUNT(T1.CASE_ID) OVER (PARTITION BY T1.CASE_ID) AS cnt
FROM table1 T1
)
SELECT cte.CASE_ID, cte.SCRIPT_NAME, cte.SCRIPT_TYPE
FROM cte
WHERE (cte.cnt > 1 AND UPPER(cte.SCRIPT_TYPE) = UPPER('AUTOMATION'))
OR cte.cnt = 1
The WITH statement adds a column counting how many times the case_id value is duplicated, which helps identify the rows you want to work with.
Here is an example of it working with the data you have provided: SQLFiddle
If you are using MSSQL Server, You may try below query -
SELECT *
FROM (SELECT CASE_ID, SCRIPT_NAME, SCRIPT_TYPE, ROW_NUMBER() OVER(PARTITION BY CASE_ID ORDER BY SCRIPT_TYPE) RN
FROM YOUR_TAB) T
WHERE RN = 1
the sql as follows come from mysql document. it is:
SELECT * FROM t1 AS t
WHERE 2 = (SELECT COUNT(*) FROM t1 WHERE t1.id = t.id);
The document say It finds all rows in table t1 containing a value that occurs twice in a given column , and doesnot explain the sql.
t1 and t is the same table, so the
count(*) in subquery == select count(*) from t
, isn't it?
count(*) in subquery == select count(*) from t
is wrong. because in mysql you can't use it like that. so you have to run it like that to get result of same id having two rows.
if you want to get count of same occurrence,
SELECT id, name, count(*) AS all_count FROM t1 GROUP BY id HAVING all_count > 1 ORDER BY all_count DESC
And also you can get values as your query like this as well,
select * from t1 where id in ( select id from t1 group by id having count(*) > 1 )
The query contains a correlated subquery in WHERE clause:
SELECT COUNT(*) FROM t1 WHERE t1.id = t.id
It is called correlated because it is related to the main query via t.id. So, this subquery counts the number of records having an id value that is equal to the current id value of the record returned by the main query.
Thus, predicate
(SELECT COUNT(*) FROM t1 WHERE t1.id = t.id) = 2
evaluates to true for any row with an id value that occurs twice in the table.
SELECT * FROM t1 AS t
WHERE 2 = (SELECT COUNT(*) FROM t1 WHERE t1.id = t.id);
This query goes through each record in t1 and then in the subquery looks into t1 again to see if in this case id is found 2 times (and only 2 times). You can do the same for any other column in t1 (or any table for that matter).
When you would like to see all values that are multiple times in the table, change WHERE 2 = by WHERE 1 <. This will also give you the values that are 3 times, 4 times, etc. in the table.
{
SELECT id,count( * )
FROM
MyTable
group by id
having count( * )>1
}
with this code, you can see the rows which repet more than one,
and you can change this query by yourself
How about using GROUP BY and HAVING:
SELECT id, count(1) as Total FROM MyTable AS t1
GROUP BY t1.id
HAVING Total = 2