I have multiple occurrences of a Client-ID called "IDKLIENT". I want to select the last occurrence of IDKLIENT for each ID, like
1|x 2|x
1|y 2|y
1|z 2|z
would be:
1|z
2|z
I used this code:
select a.*
from test a inner join
(select Name_Kl, max(IDKLIENT) as maxid from test group by IDKLIENT) as b on a.IDKLIENT = b.maxid
This way, I only get the same output as with
select a.*
Any help is appreciated!
Thanks in advance.
Edit: The table also has timestamps. So I would be content, if for each ID the max(timestamp) is selected.
Judging by the expected output, I believe you are looking to group by id to find the alphabetically greatest value for idklient. You can sort alphabetically by idklient using max if that is what you need:
select id, max(idklient) from test group by id;
If instead, you want it sorted by the insert order, I would suggest having an AUTO_INCREMENT field which you can then use to do the grouping. This might work better than inserting a timestamp
In response to your edit:
select id, max(timestamp) from test group by id;
This is a classic example for the group-by statement
I think group by has been changed.
Try this way
select a.*
from test a
inner join
(select Name_Kl, max(IDKLIENT) as maxid
from test
group by Name_Kl
) as b
on a.IDKLIENT = b.maxid
Related
Objective:
I wanted to show the number of distinct IDs for any combination selected.
In the below example, I have data at a granular level: ID level data.
I wanted to show the number of distinct IDs for each combination.
For this, I use count distinct which will give me '1' for the below combinations.
But let's say if I wanted to find the number of IDs who made both E-commerce and Face to face transactions, in that case, if I just use this data, I would be showing the sum of E-comm and Face to face and the result would be '2' instead of '1'.
And this is not limited to Ecom/Face to face. I wanted to apply the same logic for all columns.
Please let me know if you have any other alternative approach to address this issue.
First aggregate in your table to get the distinct ids for each TranType:
SELECT TranType, COUNT(DISTINCT id) counter_distinct
FROM tablename
GROUP BY TranType
and then join to the table:
SELECT t.*, g.counter_distinct
FROM tablename t
INNER JOIN (
SELECT TranType, COUNT(DISTINCT id) counter_distinct
FROM tablename
GROUP BY TranType
) g ON g.TranType = t.TranType
Or use a correlated subquery:
SELECT t1.*,
(SELECT COUNT(DISTINCT t2.id) FROM tablename t2 WHERE t2.TranType = t1.TranType) counter_distinct
FROM tablename t1
But let's say if I wanted to find the number of IDs who made both E-commerce and Face to face transactions, in
You can get the list of ids using:
select id
from t
where tran_type in ('Ecomm', 'Face to face')
group by id
having count(distinct tran_type) = 2;
You can get the count using a subquery:
select count(*)
from (select id
from t
where tran_type in ('Ecomm', 'Face to face')
group by id
having count(distinct tran_type) = 2
) i;
I have the following table:
CREATE TABLE sometable (my_id INTEGER PRIMARY KEY AUTOINCREMENT, name STRING, number STRING);
Running this query:
SELECT * FROM sometable;
Produces the following output:
1|someone|111
2|someone|222
3|monster|333
Along with these three fields I would also like to include a count representing the amount of times the same name exists in the table.
I've obviously tried:
SELECT my_id, name, count(name) FROM sometable GROUP BY name;
though that will not give me an individual result row for every record.
Ideally I would have the following output:
1|someone|111|2
2|someone|222|2
3|monster|333|1
Where the 4th column represents the amount of time this number exists.
Thanks for any help.
You can do this with a correlated subquery in the select clause:
Select st.*,
(SELECT count(*) from sometable st2 where st.name = st2.name) as NameCount
from sometable st;
You can also write this as a join to an aggregated subquery:
select st.*, stn.NameCount
from sometable st join
(select name, count(*) as NameCount
from sometable
group by name
) stn
on st.name = stn.name;
EDIT:
As for performance, the best way to find out is to try both and time them. The correlated subquery will work best when there is an index on sometable(name). Although aggregation is reputed to be slow in MySQL, sometimes this type of query gets surprisingly good results. The best answer is to test.
Select *, (SELECT count(my_id) from sometable) as total from sometable
I am using query like
select * from audittable where a_id IN (1,2,3,4,5,6,7,8);
For each ID its returning 5-6 records. I wanted to get the last but one record for each ID.
Can i do this in one sql statement.
Try this query
SELECT
*
FROM
(SELECT
#rn:=if(#prv=a_id, #rn+1, 1) as rId,
#prv:=a_id as a_id,
---Remaining columns
FROM
audittable
JOIN
(SELECT #rn:=0, #prv:=0) t
WHERE
a_id IN (1,2,3,4,5,6,7,8)
ORDER BY
a_id, <column> desc)tmp --Replace column with the column with which you will determine it is the last record
WHERE
rId=1;
If your database is having DateCreated or any column in which you are saving the DateTime as well like when your data is inserted for a particular row then you may use query like
select at1.* from audittable at1 where
datecreated in( select max(datecreated) from audittable at2
where
at1.id = at2.id
order by datecreated desc
);
You may also use LIMIT function as well.
Hope you understand and works for you.
In SQLite, you have the columns a_id and b. For each a_id you get a set of b's. Let you want
to get the latest/highest (maximum in terms of row_id, date or another naturally increasing index) one of b's
SELECT MAX(b), *
FROM audittable
GROUP BY a_id
Here MAX help to get the maximum b from each group.
Bad news that MySQL doesn't associate MAX b with other *-columns of the table. But it still can be used in case of simple table with a_id and b columns!
I have collected informations from different sources about certain IDs that should match a single name. Some sources are more trustworthy than others in giving the correct name for a given ID.
I created a table (name, id, source_trustworthiness) and I want to get the most trustworthy name for each ID.
I tried
SELECT name, id, MAX( source_trustworthiness )
FROM table
GROUP BY id
this returns th highest trustworthiness available for each ID but with the first name it finds, regarless of its trustworthiness.
Is there a way I can get that right ?
Mysql has special functionality to help:
SELECT * FROM (
SELECT name, id, source_trustworthiness
FROM table
ORDER BY 3 DESC ) x
GROUP BY id
Although this wouldn't even execute in other databases (not naming all non-aggregate columns in the GROUP BY clause), with mysql it returns the first row encountered for each unique value of the grouped by columns. By ordering the rows greatest first, the first row for each id will be the most trustworthy.
Since this question is tagged mysql, this query is OK. Not only is it really simple, it's also quite fast.
SELECT a.*
FROM TableName a
INNER JOIN
(
SELECT id, MAX(source_trustworthiness) max_val
FROM TableName
GROUP BY ID
) b ON a.ID = b.ID AND
a.source_trustworthiness = b.max_val
Sometimes I want to get just one row of each similar value, I ussually do somethingl ike this:
SELECT * GROUP BY Text ORDER BY Date DESC
My problem using GROUP to select similar rows is that I don't get the values from the latest rows in the row (I'm not quite sure what's the criteria to choosing the row that stays). I want to retain only the newest row in the group.
I know how to do it with a self join but when statements are already very long it seems a bit complicated. Is there any shorter method? Maybe using DISTINCT instead of GROUP BY?
Assuming you have a table that has multiple columns and two of which are GroupID and DATE. If you want to select the latest record for each GroupID, you need to have a subquery which gets the latest Date for each GroupID, example
SELECT a.* -- this just selects all records from original table
FROM tableName a
INNER JOIN
(
-- this subquery gets the latest DATE entry for each GROUPID
SELECT GroupID, MAX(DATE) maxDate
FROM tableName
GROUP BY GroupID
) b ON a.GroupID = b.GroupID AND
a.Date = b.maxDate
if this answer is not clear, please do ask :D
Did you try to use the max function:
SELECT A,B,max(Date) GROUP BY Text