Merge two column from different table row wise using mysql - mysql

I have tables
Student
--------------
| Name | Grade |
--------------
--------------
| John | A+ |
--------------
| Tina | B |
--------------
And Type
--------------
| Type | Class |
--------------
--------------
| Good | 12 |
--------------
| Avg | 11 |
--------------
Now I want to get the result by merging them row-wise so the result of the SQL query would be,
-----------------------------
| Name | Grade | Type | Class |
-----------------------------
| John | A+ | Good | 12 |
-----------------------------
| Tine | B | Avg | 11 |
-----------------------------

Assuming there are the same number of columns in each table, you can link them by row number. Without an ORDER BY clause though the row numbering is indeterminate and you can't guarantee results.
In MySQL 5.7 and below:
SELECT Name, Grade, Type, Class
FROM (SELECT *, #rownum := #rownum + 1 AS rownum
FROM Student
CROSS JOIN (SELECT #rownum := 0) r
) s
JOIN (SELECT *, #rownum2 := #rownum2 + 1 AS rownum
FROM Type
CROSS JOIN (SELECT #rownum2 := 0) r
) t ON t.rownum = s.rownum
In MySQL 8.0 and above:
SELECT Name, Grade, Type, Class
FROM (SELECT *, ROW_NUMBER() OVER () AS rownum
FROM Student) s
JOIN (SELECT *, ROW_NUMBER() OVER () rownum
FROM Type) t ON t.rownum = s.rownum
Output:
Name Grade Type Class
John A+ Good 12
Tina B Avg 11
Demo on dbfiddle

Related

Calculate rank of the users based on their max score using mysql

I have a table (called users) I need rank of users based on their score but I want rank on the bases of users max score.
+-----------+------------+
| User_id | Score |
+-----------+------------+
| 1 | 12258 |
| 1 | 112 |
| 2 | 9678 |
| 5 | 9678 |
| 3 | 689206 |
| 3 | 1868 |
Expect result
+-----------+------------+---------+
| User_id | Score | Rank |
+-----------+------------+---------+
| 3 | 689206 | 1 |
| 1 | 12258 | 2 |
| 2 | 9678 | 3 |
| 5 | 9678 | 3 |
You are looking for DENSE_RANK, But it supports mysql version higher than 8.0
use correlated-subquery to get max value by each User_id
use two variables one to store rank another to store previous value to make the DENSE_RANK number.
look like this.
CREATE TABLE T(
User_id int,
Score int
);
insert into t values (1,12258);
insert into t values (1,112);
insert into t values (2,9678);
insert into t values (5,9678);
insert into t values (3,689206);
insert into t values (3,1868);
Query 1:
SELECT User_id,Score,Rank
FROM (
SELECT User_id,
Score,
#rank :=IF(#previous = t1.score, #rank, #rank + 1) Rank,
#previous := t1.Score
FROM T t1 CROSS JOIN (SELECT #Rank := 0,#previous := 0) r
WHERE t1.Score =
(
SELECT MAX(Score)
FROM T tt
WHERE t1.User_id = tt.User_id
)
ORDER BY Score desc
) t1
Results:
| User_id | Score | Rank |
|---------|--------|------|
| 3 | 689206 | 1 |
| 1 | 12258 | 2 |
| 2 | 9678 | 3 |
| 5 | 9678 | 3 |
Another trick in MySql 5.7 to calculate a DENSE_RANK (like in MySql 8) is to use a CASE WHEN with the variable assignments in it.
SELECT User_id, MaxScore AS Score,
CASE
WHEN MaxScore = #prevScore THEN #rnk
WHEN #prevScore := MaxScore THEN #rnk := #rnk+1
ELSE #rnk := #rnk+1
END AS Rank
FROM
(
SELECT User_id, MAX(Score) AS MaxScore
FROM YourTable
GROUP BY User_id
ORDER BY MaxScore DESC, User_id
) AS q
CROSS JOIN (SELECT #rnk := 0, #prevScore := null) AS vars
You can test it here on rextester.

How to write a MySQL SELECT Query to achieve this result?

I have an abstract problem which can be simplified as the following problem: Assume that we have two tables persons and names that look as follows:
SELECT * FROM persons;
+----+-------+--------+
| id | name | fan_of |
+----+-------+--------+
| 1 | alice | 2 |
| 2 | bob | 4 |
| 3 | carol | 1 |
| 4 | dave | 3 |
| 5 | bob | 2 |
+----+-------+--------+
and
SELECT * FROM names;
+----+-------+--------+
| id | name | active |
+----+-------+--------+
| 1 | alice | 1 |
| 2 | bob | 1 |
| 3 | carol | 0 |
| 4 | dave | 1 |
+----+-------+--------+
Every person (a row in the persons) table is a fan of itself or another person (represented by that other persons id in the fan_of column). The names table contains names that can be active or inactive.
For a given offset k, I want to SELECT the persons (rows of persons) that have the k+1-th active name as their name or that have one of these people as their fans. For example, if the offset is 1, the second active name is bob and hence I want to select all people with the name bob plus the people that have one of these bobs as their fans, which is in this example the row of persons with id=4. This means that I want to have the result:
+----+------+--------+
| id | name | fan_of |
+----+------+--------+
| 2 | bob | 4 |
| 4 | dave | 3 |
| 5 | bob | 2 |
+----+------+--------+
What I have so far is the following query:
1 SELECT * FROM persons WHERE
2 EXISTS (
3 SELECT * FROM (
4 SELECT * FROM names WHERE active=true LIMIT 1 OFFSET 1
5 ) AS selectedname WHERE (selectedname.name=persons.name)
6 )
7 OR
8 EXISTS (
9 SELECT * FROM(
10 SELECT * FROM persons WHERE EXISTS (
11 SELECT * FROM (
12 SELECT * FROM names WHERE active=true LIMIT 1 OFFSET 1
13 ) AS selectedname WHERE (selectedname.name=persons.name)
14 )
15 ) AS personswiththatname WHERE persons.id=personswiththatname.fan_of
16 );
It gives me the desired result from above but please note that it is inefficient because the lines 3-5 and 11-13 are the same.
I have the following two questions:
What can be done to avoid this inefficiency?
I actually need to distinguish between those rows that came from the
name condition (here the rows with name=bob) and those that came
from the fan_of condition (here the row with name=dave). This
could be done in the application code but then I would need another
database query before to find out the k+1-th active name and this might
be slow (please correct me if this is the better solution). I would
rather prefer an additional column z that helps me to distinguish
like
+----+------+--------+---+
| id | name | fan_of | z |
+----+------+--------+---+
| 2 | bob | 4 | 1 |
| 4 | dave | 3 | 0 |
| 5 | bob | 2 | 1 |
+----+------+--------+---+
How can such an output be achieved?
It looks like I can get the minimum you want to achieve using parameters (should this be an option).
It's not pretty, but I can't see a simple way of achieving what you're asking for, so this is what I have so far....(set #offset to suit 'k')
SET #offset = 1;
SET #name = (SELECT name FROM (select name, #rank := #rank +1 as Rank from names n, (SELECT #rank := 0) r where active !=0) as activeRanked where activeRanked.rank = (1 + #offset));
select
a.*
From persons a
where (a.name = #name) OR (a.id IN (SELECT fan_of from persons where name = #name));
If you still don't have an answer by the time I've had food, I'll look at part 2.
(hopefully I've read your brief correctly)
P.S. I've kept the #name SQL in a single line as it seems to read better in this context.
Edit: Here's a pretty messy but functional indicator of source, using your example. Z = 1 is where the row is from the name, '0' is from fan_of
SET #offset = 1;
SET #name = (SELECT name FROM (select name, #rank := #rank +1 as Rank from names n, (SELECT #rank := 0) r where active !=0) as activeRanked where activeRanked.rank = (1 + #offset));
select
a.*,'1' as z
From persons a
where (a.name = #name)
union
select
a.*,'0' as z
From persons a
where (a.id IN (SELECT fan_of from persons where name = #name));
Distinct ID Query:
SET #offset = 1;
SET #name = (SELECT name FROM (select name, #rank := #rank +1 as Rank from names n, (SELECT #rank := 0) r where active !=0) as activeRanked where activeRanked.rank = (1 + #offset));
SELECT id, name, fan_of, z FROM
(select
distinct a.id,
a.name,
a.fan_of,
1 as z
From persons a
where (a.name = #name)
union
select
distinct a.id,
a.name,
a.fan_of,
0 as z
From persons a
where (a.id IN (SELECT fan_of from persons where name = #name))
ORDER BY z desc) qry
GROUP BY id;
This produces:
+----+------+--------+---+
| id | name | fan_of | z |
+----+------+--------+---+
| 2 | bob | 4 | 1 |
| 5 | bob | 2 | 1 |
| 4 | dave | 3 | 0 |
+----+------+--------+---+

cumulative product over a big MySQL table

I have a big MySQL table on which I'd like to calculate a cumulative product. This product has to be calculated for each group, a group is defined by the value of the first column.
For example :
name | number | cumul | order
-----------------------------
a | 1 | 1 | 1
a | 2 | 2 | 2
a | 1 | 2 | 3
a | 4 | 8 | 4
b | 1 | 1 | 1
b | 1 | 1 | 2
b | 2 | 2 | 3
b | 1 | 2 | 4
I've seen this solution but don't think it would be efficient to join or subselect in my case.
I've seen this solution which is what I want except it does not partition by name.
This is similar to a cumulative sum:
select t.*,
(#p := if(#n = name, #p * number,
if(#n := name, number, number)
)
) as cumul
from t cross join
(select #n := '', #p := 1) params
order by name, `order`;

Group consecutively values in MySQL and add an id to such groups

I have a simple table and I need to identified groups of four rows (the groups aren't consecutives), but each rows of each row has a +1 in the value. For example:
----------------------
| language | id |
----------------------
| C | 16 |
| C++ | 17 |
| Java | 18 |
| Python | 19 |
| HTML | 65 |
| JavaScript | 66 |
| PHP | 67 |
| Perl | 68 |
----------------------
I want to add a column that indicates the group or set, how is possible to get this output using MySQL?:
----------------------------
| language | id | set |
----------------------------
| C | 16 | 1 |
| C++ | 17 | 1 |
| Java | 18 | 1 |
| Python | 19 | 1 |
| HTML | 65 | 2 |
| JavaScript | 66 | 2 |
| PHP | 67 | 2 |
| Perl | 68 | 2 |
----------------------------
Note that in this examples is only 2 sets (it could be 1 or more sets) and they didn't start in 16 (such values are not knowledged, but the restriction is that each id value of each row has this form n, n+1, n+2 and n+3).
I've been investigating about Gaps & Islands problem but didn't figure how to solve it by using their solutions. Also I search on stackoverflow but the closest question that I found was How to find gaps in sequential numbering in mysql?
Thanks
SELECT language,id,g
FROM (
SELECT language,id,
CASE WHEN id=#lastid+1 THEN #n ELSE #n:=#n+1 END AS g,
#lastid := id As b
FROM
t, (SELECT #n:=0) r
ORDER BY
id
) s
EDIT
In case you want just 4 per group add a row number variable:
SELECT language,id,g,rn
FROM (
SELECT language,id,
CASE WHEN id=#lastid+1 THEN #n ELSE #n:=#n+1 END AS g,
#rn := IF(#lastid+1 = id, #rn + 1, 1) AS rn,
#lastid := id As dt
FROM
t, (SELECT #n:=0) r
ORDER BY
id
) s
Where rn <=4
FIDDLE
select language,
#n:=if(#m+1=id, #n, #n+1) `set`,
(#m:=id) id
from t1,
(select #n:=0) n,
(select #m:=0) m
Demo on sqlfiddle
You can use the following query:
SELECT l.*, s.rn
FROM languages AS l
INNER JOIN (
SELECT minID, #rn2:=#rn2+1 AS rn
FROM (
SELECT MIN(id) AS minID
FROM (
SELECT id,
id - IF (true, #rn1:=#rn1+1, 0) AS grp
FROM languages
CROSS JOIN (SELECT #rn1:=0) AS var1
ORDER BY id) t
GROUP BY grp
HAVING COUNT(grp) = 4 ) u
CROSS JOIN (SELECT #rn2:=0) AS var2
) s ON l.id BETWEEN minID AND minID + 3
The above query identifies islands of exactly 4 consecutive records and returns there records only. It is easily modifiable to account for a different number of consecutive records.
Please also note the usage of IF conditional: it guarantees that #rn1 is first initialized and then used in order to calculate grp field.
Demo here

Limiting the output of specific column sql hana

I have a table structure as given below and what I'd like to be able to do is retrieve the top three records with the highest value for each Company code.
I've googled and I couldn't find a better way so hopefully you guys can help me out.
By the way, I'm attempting this in MySQL and SAP HANA. But I am hoping that I can grab the "structure" if the query for HANA if I can get help for only MySQL
Thanks much!
Here's the table:
http://pastebin.com/xgzCgpKL
In MySQL you can do
To get exactly three records per group (company) no matter ties emulating ROW_NUMBER() analytic function. Records with the same value get the same rank.
SELECT company, plant, value
FROM
(
SELECT company, plant, value, #n := IF(#g = company, #n + 1, 1) rnum, #g := company
FROM table1 CROSS JOIN (SELECT #n := 0, #g := NULL) i
ORDER BY company, value DESC, plant
) q
WHERE rnum <= 3;
Output:
| COMPANY | PLANT | VALUE |
|---------|-------|-------|
| 1 | C | 5 |
| 1 | B | 4 |
| 1 | A | 3 |
| 2 | G | 6 |
| 2 | C | 5 |
| 2 | D | 3 |
| 3 | E | 8 |
| 3 | A | 7 |
| 3 | B | 3 |
Get all records per group that have a rank from 1 to 3 emulating DENSE_RANK() analytic function
SELECT company, plant, value
FROM
(
SELECT company, plant, value, #n := IF(#g = company, IF(#v = value, #n, #n + 1), 1) rnum, #g := company, #v := value
FROM table1 CROSS JOIN (SELECT #n := 0, #g := NULL, #v := NULL) i
ORDER BY company, value DESC, plant
) q
WHERE rnum <= 3;
Output:
| COMPANY | PLANT | VALUE |
|---------|-------|-------|
| 1 | C | 5 |
| 1 | B | 4 |
| 1 | A | 3 |
| 1 | E | 3 |
| 1 | G | 3 |
| 2 | G | 6 |
| 2 | C | 5 |
| 2 | D | 3 |
| 3 | E | 8 |
| 3 | A | 7 |
| 3 | B | 3 |
| 3 | G | 3 |
Here is SQLFiddle demo
UPDATE: Now it looks like HANA supports analytic functions so the queries will look like
SELECT company, plant, value
FROM
(
SELECT company, plant, value,
ROW_NUMBER() OVER (PARTITION BY company ORDER BY value DESC) rnum
FROM table1
)
WHERE rnum <= 3;
SELECT company, plant, value
FROM
(
SELECT company, plant, value,
DENSE_RANK() OVER (PARTITION BY company ORDER BY value DESC) rank
FROM table1
)
WHERE rank <= 3;
Here is SQLFiddle demo It's for Oracle but I believe it will work for HANA too