How to select 1st, 2nd or 3rd value before MAX ?
usually we do it with order by and limit
SELECT * FROM table1
ORDER BY field1 DESC
LIMIT 2,1
but with my current query I don't know how to make it...
Sample table
+----+------+------+-------+
| id | name | type | count |
+----+------+------+-------+
| 1 | a | 1 | 2 |
| 2 | ab | 1 | 3 |
| 3 | abc | 1 | 1 |
| 4 | b | 2 | 7 |
| 5 | ba | 2 | 1 |
| 6 | cab | 3 | 9 |
+----+------+------+-------+
I'm taking name for each type with max count with this query
SELECT
`table1b`.`name`
FROM
(SELECT
`table1a`.`type`, MAX(`table1a`.`count`) AS `Count`
FROM
`table1` AS `table1a`
GROUP BY `table1a`.`type`) AS `table1a`
INNER JOIN
`table1` AS `table1b` ON (`table1b`.`type` = `table1a`.`type` AND `table1b`.`count` = `table1a`.`Count`)
and I want one more column additional to name with value before max(count)
so result should be
+------+------------+
| name | before_max |
+------+------------+
| ab | 2 |
| b | 1 |
| cab | NULL |
+------+------------+
Please ask if something isn't clear ;)
AS per your given table(test) structure, the query has to be as follows :
select max_name.name,before_max.count
from
(SELECT type,max(count) as max
FROM `test`
group by type) as type_max
join
(select type,name,count
from test
) as max_name on (type_max.type = max_name.type and count = type_max.max )
left join
(select type,count
from test as t1
where count != (select max(count) from test as t2 where t1.type = t2.type)
group by type
order by count desc) as before_max on(type_max.type = before_max .type)
Related
I am trying to join two tables with respect to the max values for the values column. I would like to produce the expected results as shown below based on the max value while joining
select * from order
-------------------------
| ID | value | Name |
-------------------------
| 1 | 23 | REM |
| 2 | 0 | SER |
| 3 | 13 | MH |
| 4 | 3 | MH |
| 5 | 1 | MP |
-------------------------
select * from product
-------------------------
| ID | value | Name |
-------------------------
| 1 | 2 | ABC |
| 2 | 2 | DEG |
| 3 | 17 | XYZ |
-------------------------
Desired result:
-------------------------
| ID | Value | Name |
-------------------------
| 1 | 23 | REM |
| 2 | 2 | DEG |
| 3 | 17 | XYZ |
| 4 | 3 | MH |
| 5 | 1 | MP |
-------------------------
I have tried something like below but it's not fetching the value (NAME) from other table
SELECT
MAX(IF(a.value >b.value , a.value ,b.value )) AS Value
from order a left join product b on a.ID= b.ID
Please suggest how to get the expected result from these two tables.
Below is for BigQuery Standard SQL
#standardsql
select as value array_agg(struct(id, value, name) order by value desc limit 1)[offset(0)]
from
(
select * from `project.dataset.order`
union all
select * from `project.dataset.product`
)
group by id
with output
You can do this using a full join:
select id,
(case when p.val is null or p.val < o.val then o.val else p.val end),
(case when p.val is null or p.val < o.val then o.name else p.name end)
from product p full join
order o
using (id);
I just find this the simplest way to think about the problem.
I have the following table
+----+------+-------+
| id | user | value |
+----+------+-------+
| 1 | 10 | A |
| 2 | 12 | B |
| 3 | 24 | A |
| 4 | 33 | C |
+----+------+-------+
I want to retreive all the duplicates users that have the same key
+----+------+-------+
| id | user | value |
+----+------+-------+
| 1 | 10 | A |
| 3 | 24 | A |
+----+------+-------+
I've tried that with no luck
SELECT DISTINCT A.user, A.value
FROM table as A
INNER JOIN ( SELECT value FROM table GROUP BY value HAVING COUNT(value) > 1 ) AS B
ON A.value = B.value
You may try below query -
SELECT id, user, value
FROM YUOR_TABLE T1
WHERE EXISTS (SELECT 1
FROM YOUR_TABLE T2
WHERE T1.value = T2.value
AND T1.user <> T2.user)
So, let say I have this data
id | value | group
1 | 100 | A
2 | 120 | A
3 | 150 | B
4 | 170 | B
I want to sort it so it become like this
id | value | group
1 | 100 | A
3 | 150 | B
2 | 120 | A
4 | 170 | B
there will be more group than that, so if I the data ordered the group like (A,C,B,D,B,C,A), it will become (A,B,C,D,A,B,C)
You can add a counter column to the table, which will be used to sort the table:
select t.id, t.value, t.`group`
from (
select t.id, t.value, t.`group`,
(select count(*) from tablename
where `group` = t.`group` and id < t.id) counter
from tablename t
) t
order by t.counter, t.`group`
See the demo.
Results:
| id | value | group |
| --- | ----- | ----- |
| 1 | 100 | A |
| 3 | 150 | B |
| 2 | 120 | A |
| 4 | 170 | B |
You can approach this as
SELECT *
FROM `tablename`
ORDER BY
row_number() OVER (PARTITION BY `group` ORDER BY `group`), `group`
After looking at other examples I still have not been able to find a solution, that is why I am asking for some help.
My table structure:
V_id | name | group_id | other columns
----------------------
1 | | 1
2 | | 1
3 | | 2
4 | | 3
5 | | 3
I have been struggling to build a query, to select all the rows which have the maximum value from the group_id column.
therefore output should be like this:
V_id | name | group_id | other columns
----------------------
4 | | 3
5 | | 3
which I believe can be solved by selecting all records where group_id is the highest.
and also need a query to get all the other remaining rows.
which in this case, should be like this:
V_id | name | group_id | other columns
----------------------
1 | | 1
2 | | 1
3 | | 2
which I believe can be done by selecting all records where group_id < Max(group_id)
for the first part of the problem,
SELECT *
FROM tableName
WHERE group_id = (SELECT MAX(group_ID) FROM TableName)
and for the second part,
SELECT *
FROM tableName
WHERE group_id < (SELECT MAX(group_ID) FROM TableName)
You can use JOIN for that:
SELECT a.*
FROM Table1 a
JOIN (SELECT MAX(Group_ID) AS MAXID
FROM Table1) B
ON a.Group_id = B.MaxID;
Result:
| V_ID | NAME | GROUP_ID |
----------------------------
| 4 | (null) | 3 |
| 5 | (null) | 3 |
For the remaining rows use LEFT JOIN with a condition like this:
SELECT a.*
FROM Table1 a
LEFT JOIN (SELECT MAX(Group_ID) AS MAXID
FROM Table1) B
ON a.Group_id = B.MaxID
WHERE B.MaxID IS NULL;
Result:
| V_ID | NAME | GROUP_ID |
----------------------------
| 1 | (null) | 1 |
| 2 | (null) | 1 |
| 3 | (null) | 2 |
See this SQLFiddle
i've a table like:
| ID | value |
| 0 | 5 |
| 1 | 2 |
| 0 | 1 |
| 1 | 6 |
| 2 | 3 |
| 2 | 8 |
| 1 | 2 |
| 0 | 1 |
| 2 | 4 |
I'm trying to take in my result only one row for id where value is the min of all the column, something like:
SELECT DISTINCT * FROM table WHERE MIN(table.value) = table.value
how can i solve? thanks!
EDIT:
My desired output is:
| ID | value |
| 0 | 1 | -> is the min of all the rows with id = 0
| 1 | 2 |
| 2 | 3 |
EDIT 2:
Something like:
SELECT DISTINCT *
FROM tableName AS A
WHERE value = (SELECT MIN(value) From tableName AS B WHERE A.ID=B.ID)
But tableName is (SELECT * FROM ...........).. how can i perform?
SELECT DISTINCT ID, Value
FROM tableName
WHERE value = (SELECT MIN(value) From tableName)
SQLFiddle Demo
follow-up question, what happens if there are same lowest value with different ID, what record will be shown?
How about this:
SELECT DISTINCT a.ID, a.value
FROM tableName AS a
WHERE a.value = (SELECT MIN(b.value)
FROM tableName AS b
WHERE a.id = b.id)
This is what you want
select id,min(value) from tableName group by id