I have a mysql query. I need to get last value from columns Lat,Lng from my table but serial_number column needs to be distinct.
How to make such a query?
This is needed as I am using this coordinates to load it to Google map. So when the Google maps loads I need to have a marker on each last coordinates where vehicle is.
SELECT m.*
FROM (
SELECT DISTINCT serial_number
FROM mytable
) md
JOIN mytable m
ON m.id =
(
SELECT id
FROM mytable mi
WHERE mi.serial_number = md.serial_number
ORDER BY
mi.time DESC, mi.id DESC
LIMIT 1
)
Create an index on (serial_number, time, id) for this to work fast.
If you want to retrieve the last record for a certain serial_number, just use this:
SELECT *
FROM mytable
WHERE serial_number = :my_serial_number
ORDER BY
time DESC, id DESC
LIMIT 1
1#
Assuming that max ID will always give you last lat and lon, the query becomes quite simple -
SELECT t2.*
FROM table t2
where t2.id IN
(
SELECT max(t1.id)
FROM table t1
GROUP BY t1.serial_number
)
2#
If you need to consider time also, then you will need to do it this way. Here, in the inner query, max_time of each serial_number is obtained. Then this max_time and serial_number is joined with the outer table time and serial_number respectively, to get distinct records with last lat and lon.
SELECT *
FROM table t2,
(
SELECT max(t1.time) max_time, t1.serial_number
FROM table t1
GROUP BY t1.serial_number
) new_table
WHERE t2.time=new_table.max_time
AND t2.serial_number=new_table.serial_number
Try this
select distinct serial_number, *
from table t
inner join table t1 on t1.serial_number = t.serial_number and t1.id = (select max id from table t2 where t2.serial_number = t1.serial_number)
Related
I have a table, TABLE1, with two columns: SSN and Date.
I have another table, TABLE2, with SSN, name and Surname.
I want to view the Name and the Surname of the person who is associated to the SSN that appears the highest number of times in the first table (the one with SSN and Date)
Which query should I write?
The fastest way is probably to aggregation before joining:
select *
from (select t1.ssn
from table1 t1
group by t1.ssn
order by count(*) desc
limit 1
) t1 left join
table2 t2
using (ssn)
Try this.
SELECT t1.ssn, t2.name, t2.surname, count(*) as vol
FROM table1 t1
LEFT JOIN table2 t1 on t1.ssn = t2.ssn
GROUP BY 1
ORDER BY count(*) DESC
LIMIT 1
Use a subquery in the WHERE clause which returns the SSN that appears the most in table1:
SELECT *
FROM table2
WHERE SSN = (SELECT SSN FROM table1 GROUP BY SSN ORDER BY COUNT(*) DESC LIMIT 1)
With an index on SSN (which I assume exists) this is the fastest way to get the result.
My requirement is to get id based on latest frame (based on date-time) is inserted with group by vehicle id.
I have tried with below query
select a.id,a.vehicle_id,a.info_datetime
from table_name a
join (select id, max(info_datetime) as maxdt from table_name group by vehicle_id) as b
on a.info_datetime = b.maxdt
The output will not give the proper id.
So, I want the id for latest frame inserted with group by vehicle_id.
Max(id) or Max(info_datetime) query will not give the accurate result.
SELECT id, vehicle_id FROM table_name as a WHERE info_datetime =
(SELECT MAX(info_datetime) FROM table_name as b WHERE a.vehicle_id = b.vehicle_id)
GROUP BY vehicle_id
Your attempt is almost there, but you need to join by id as well:
select a.id,a.vehicle_id,a.info_datetime
from table_name a
join (
select vehicle_id, max(info_datetime) as maxdt from table_name group by vehicle_id
) as b on a.info_datetime = b.maxdt and a.vehicle_id = b.vehicle_id
Another way to do it is to filter with a correlated subquery:
select a.*
from table_name a
where a.info_datetime = (
select max(b.info_datetime) from table_name b where b.vehicle_id = a.vehicle_id
)
Finally got the solution for above.
SELECT id, vehicle_id, info_datetime
FROM table_name
WHERE id in (
select max(m2.id) from table_name m2 group by m2.vehicle_id)
ORDER BY vehicle_id asc,info_datetime DESC
It will take approx 2 to 3 seconds to execute in around 25 lac records.
I have table like this one:
I would like to all rows, but if there is user_id 5 if this case, override other rows which have no user_id.
I tried both with MAX(user_id) and GROUP BY country_name, but it still returns, wrong results.
Final result I'm expecting:
Try this;)
select t1.*
from yourtable t1
inner join (
select max(user_id) as user_id, country_name from yourtable group by country_name
) t2 on t1.country_name = t2.country_name and t1.user_id = t2.user_id
This is just a solution based on your sample data. If you have a variety of user_id, it should be more different.
As of SQL Select only rows with Max Value on a Column you can easily get rows with max value on a column by using both MAX(column) and GROUP BY other_column in one statement.
But if you want to select other columns too, you have to this in a subquery like in the following example:
SELECT a.*
FROM YourTable a
INNER JOIN (
SELECT country_name, MAX(user_id) user_id
FROM YourTable
GROUP BY country_name
) b ON a.country_name = b.country_name AND a.user_id = b.user_id
how can i make something like this work?
INSERT INTO age.page(domain,title_count,youtube_count,ipaddress,updated)
SELECT * FROM
(
SELECT domain,
COUNT(domain) AS titlecount,
(SELECT COUNT(*) FROM table2 WHERE title = table1.title) AS YoutubeCount, ipaddress
NOW() AS timeNow
FROM table1
GROUP BY domain
ORDER BY title DESC
) a;
I want to use a subquery to get a count of a different table but use the same field from the main query.
the reason i want to do this is so i dont have to run two queries instead its only one.
You can do this COUNT in a subquery and then JOIN it with the first table:
INSERT INTO age.page(domain, title_count, youtube_count, ipaddress, updated)
SELECT * FROM
(
SELECT
domain,
COUNT(domain) AS titlecount,
t2.titlecount AS YoutubeCount,
ipaddress,
NOW() AS timeNow
FROM table1
INNER JOIN
(
SELECT title, COUNT(*) Titlecount
FROM table2
GROUP BY title
) AS t2 ON t2.title = table1.title
GROUP BY domain
ORDER BY table1.title DESC
) a;
I have table with id, item_id, value (int), run (datetime) and i need select value diff betwen last two run per *item_id*.
SELECT item_id, ABS(value1 - value2) AS diff
FROM ( SELECT h.item_id, h.value AS value1, h2.value AS value2
FROM ( SELECT id, item_id, value
FROM table_name
GROUP BY item_id
ORDER BY run DESC) AS h
INNER JOIN ( SELECT id, item_id, value
FROM table_name
ORDER BY run DESC) AS h2
ON h.item_id = h2.item_id AND h.id != h2.id
GROUP BY item_id) AS h3
I believe this should do the trick for you. Just replace table_name to correct name.
Explanation:
Basicly I join the table with itself in a run DESC order, JOIN them based on item_id but also on id. Then I GROUP BY them again to remove potential 3rd and so on cases. Lastly I calculate the difference between them through ABS(value1 - value2).
SELECT t2.id, t2.item_id, (t2.value- t1.value) valueDiff, t2.run
FROM ( table_name AS t1
INNER JOIN
table_name AS t2
ON t1.run = (SELECT MAX(run) FROM table_name where run < t2.run)
and t1.item_id = t2.item_id)
This is assuming you want the diff between a record and the record with the previous run