hi how can i count integers in specific column of mysql table?
+------------+--------+
| product_id | stores |
+------------+--------+
| 371374 | 1 |
| 283994 | 1 |
| 232191 | 2 |
| 131127 | 1 |
| 284000 | 1 |
| 371383 | 1 |
| 83 | 3 |
| 131156 | 1 |
| 371385 | 1 |
| 284004 | 1 |
+------------+--------+
i want to count all stores like 1 + 1 + 2 + 1 + ...
SELECT SUM(stores) FROM tablename
Try:
SELECT SUM(stores)
FROM mytable
try this query
select sum(stores) from <tablename>;
SELECT SUM( stores ) AS sum
FROM `table_name`
Related
I want to find the average of the following data via mysql query (assume these are 719 rows).
| 1 |
| 3 |
| 1 |
| 2 |
| 2 |
| 1 |
| 1 |
| 2 |
| 1 |
| 1 |
| 2 |
| 1 |
| 2 |
| 1 |
| 2 |
| 1 |
| 1 |
+----------+
719 rows in set (2.43 sec)
SELECT COUNT(*) FROM osdial_agent_log WHERE DATE(event_time)='2015-11-01' GROUP BY lead_id;
I ran this query to get that data
Can someone help me to find the average for the above data.
Use
SELECT AVG(total)
FROM (SELECT COUNT(*) AS total
FROM osdial_agent_log
WHERE DATE(event_time)='2015-11-01'
GROUP BY lead_id) t
A query without COUNT returns 3 records, with only 1.
SELECT `blog_cate` . * , COUNT( blogi.blog_cate ) AS num
FROM (
`blog_cate`
)
JOIN `blogi` ON `blogi`.`blog_cate` = `blog_cate`.`blogi_cate_url`
results:
+----+------------------+----------------+-----+
| id | blogi_cate_title | blogi_cate_url | num |
+----+------------------+----------------+-----+
| 1 | Базы данных | batabase | 3 |
+----+------------------+----------------+-----+
And the same query, but without a COUNT:
SELECT `blog_cate` . *
FROM (
`blog_cate`
)
JOIN `blogi` ON `blogi`.`blog_cate` = `blog_cate`.`blogi_cate_url`
That returns me 3 records:
+----+------------------+----------------+
| id | blogi_cate_title | blogi_cate_url |
+----+------------------+----------------+
| 1 | Базы данных | batabase |
| 1 | Базы данных | batabase |
| 3 | Разработка | razrabotka |
+----+------------------+----------------+
Is it possible to use a COUNT and have a normal results?
p.s. tables:
+----+------------+
| id | blog_cate |
+----+------------+
| 1 | batabase |
| 2 | batabase |
| 3 | razrabotka |
+----+------------+
+----+------------------+----------------+
| id | blogi_cate_title | blogi_cate_url |
+----+------------------+----------------+
| 1 | Базы данных | batabase |
| 2 | PHP | php |
| 3 | Разработка | razrabotka |
+----+------------------+----------------+
COUNT() with out a group by will group all records and produce a count of them. Adding more fields to the select will only show the details of the first record
You could build one query to get the three rows and one query to get the count result and join them via cross join to combine every detail row with the count row.
I'm working on a huge dataset, with a table that looks like this :
+----+---------+--------+--------+
| id | otherid | value1 | value2 |
+----+---------+--------+--------+
| 1 | 1 | 2 | 5 |
| 1 | 1 | 4 | 8 |
| 1 | 2 | 3 | 6 |
| 2 | 123 | 1 | 4 |
+----+---------+--------+--------+
I need to multiply value1 and value2 for each row, and sum values per id and otherid. A result table might be:
+----+---------+-----+
| id | otherid | sum |
+----+---------+-----+
| 1 | 1 | 42 | ((2*5)+(4*8))
| 1 | 2 | 18 | (3*6)
| 2 | 123 | 4 | (1*4)
+----+---------+-----+
My question is if it is possible to avoid subqueries to do this, I only found solutions that used them.
Thanks!
it's easy.
SELECT id,
otherid,
SUM(value1*value2) AS sum
FROM your_table
GROUP BY id, otherid;
Try Below Query
SELECT ID,otherid ,SUM(value1 * value2) sum
FROM TABLE1
GROUP BY ID,otherid
I have a query to get the top 'n' users who commented on a specific keyword,
SELECT `user` , COUNT( * ) AS magnitude
FROM `results`
WHERE `keyword` = "economy"
GROUP BY `user`
ORDER BY magnitude DESC
LIMIT 5
I have approx 6000 keywords, and would like to run this query to get me the top 'n' users for each and every keyword we have data for. Assistance appreciated.
Since you haven't given the schema for results, I'll assume it's this or very similar (maybe extra columns):
create table results (
id int primary key,
user int,
foreign key (user) references <some_other_table>(id),
keyword varchar(<30>)
);
Step 1: aggregate by keyword/user as in your example query, but for all keywords:
create view user_keyword as (
select
keyword,
user,
count(*) as magnitude
from results
group by keyword, user
);
Step 2: rank each user within each keyword group (note the use of the subquery to rank the rows):
create view keyword_user_ranked as (
select
keyword,
user,
magnitude,
(select count(*)
from user_keyword
where l.keyword = keyword and magnitude >= l.magnitude
) as rank
from
user_keyword l
);
Step 3: select only the rows where the rank is less than some number:
select *
from keyword_user_ranked
where rank <= 3;
Example:
Base data used:
mysql> select * from results;
+----+------+---------+
| id | user | keyword |
+----+------+---------+
| 1 | 1 | mysql |
| 2 | 1 | mysql |
| 3 | 2 | mysql |
| 4 | 1 | query |
| 5 | 2 | query |
| 6 | 2 | query |
| 7 | 2 | query |
| 8 | 1 | table |
| 9 | 2 | table |
| 10 | 1 | table |
| 11 | 3 | table |
| 12 | 3 | mysql |
| 13 | 3 | query |
| 14 | 2 | mysql |
| 15 | 1 | mysql |
| 16 | 1 | mysql |
| 17 | 3 | query |
| 18 | 4 | mysql |
| 19 | 4 | mysql |
| 20 | 5 | mysql |
+----+------+---------+
Grouped by keyword and user:
mysql> select * from user_keyword order by keyword, magnitude desc;
+---------+------+-----------+
| keyword | user | magnitude |
+---------+------+-----------+
| mysql | 1 | 4 |
| mysql | 2 | 2 |
| mysql | 4 | 2 |
| mysql | 3 | 1 |
| mysql | 5 | 1 |
| query | 2 | 3 |
| query | 3 | 2 |
| query | 1 | 1 |
| table | 1 | 2 |
| table | 2 | 1 |
| table | 3 | 1 |
+---------+------+-----------+
Users ranked within keywords:
mysql> select * from keyword_user_ranked order by keyword, rank asc;
+---------+------+-----------+------+
| keyword | user | magnitude | rank |
+---------+------+-----------+------+
| mysql | 1 | 4 | 1 |
| mysql | 2 | 2 | 3 |
| mysql | 4 | 2 | 3 |
| mysql | 3 | 1 | 5 |
| mysql | 5 | 1 | 5 |
| query | 2 | 3 | 1 |
| query | 3 | 2 | 2 |
| query | 1 | 1 | 3 |
| table | 1 | 2 | 1 |
| table | 3 | 1 | 3 |
| table | 2 | 1 | 3 |
+---------+------+-----------+------+
Only top 2 from each keyword:
mysql> select * from keyword_user_ranked where rank <= 2 order by keyword, rank asc;
+---------+------+-----------+------+
| keyword | user | magnitude | rank |
+---------+------+-----------+------+
| mysql | 1 | 4 | 1 |
| query | 2 | 3 | 1 |
| query | 3 | 2 | 2 |
| table | 1 | 2 | 1 |
+---------+------+-----------+------+
Note that when there are ties -- see users 2 and 4 for keyword "mysql" in the examples -- all parties in the tie get the "last" rank, i.e. if the 2nd and 3rd are tied, both are assigned rank 3.
Performance: adding an index to the keyword and user columns will help. I have a table being queried in a similar way with 4000 and 1300 distinct values for the two columns (in a 600000-row table). You can add the index like this:
alter table results add index keyword_user (keyword, user);
In my case, query time dropped from about 6 seconds to about 2 seconds.
You can use a pattern like this (from Within-group quotas (Top N per group)):
SELECT tmp.ID, tmp.entrydate
FROM (
SELECT
ID, entrydate,
IF( #prev <> ID, #rownum := 1, #rownum := #rownum+1 ) AS rank,
#prev := ID
FROM test t
JOIN (SELECT #rownum := NULL, #prev := 0) AS r
ORDER BY t.ID
) AS tmp
WHERE tmp.rank <= 2
ORDER BY ID, entrydate;
+------+------------+
| ID | entrydate |
+------+------------+
| 1 | 2007-05-01 |
| 1 | 2007-05-02 |
| 2 | 2007-06-03 |
| 2 | 2007-06-04 |
| 3 | 2007-07-01 |
| 3 | 2007-07-02 |
+------+------------+
+--------------------+---------------+------+-----+---------+-------+
| ID | GKEY |GOODS | PRI | COUNTRY | Extra |
+--------------------+---------------+------+-----+---------+-------+
| 1 | BOOK-1 | 1 | 10 | | |
| 2 | PHONE-1 | 2 | 12 | | |
| 3 | BOOK-2 | 1 | 13 | | |
| 4 | BOOK-3 | 1 | 10 | | |
| 5 | PHONE-2 | 2 | 10 | | |
| 6 | PHONE-3 | 2 | 20 | | |
| 7 | BOOK-10 | 2 | 20 | | |
| 8 | BOOK-11 | 2 | 20 | | |
| 9 | BOOK-20 | 2 | 20 | | |
| 10 | BOOK-21 | 2 | 20 | | |
| 11 | PHONE-30 | 2 | 20 | | |
+--------------------+---------------+------+-----+---------+-------+
Above is my table. I want to get all records which GKEY > BOOK-2, Who can tell me the expression with mysql?
Using " WHERE GKEY>'BOOK-2' " Cannot get the correct results.
How about (something like):
(this is MSSQL - I guess it will be similar in MySQL)
select
*
from
(
select
*,
index = convert(int,replace(GKEY,'BOOK-',''))
from table
where
GKEY like 'BOOK%'
) sub
where
sub.index > 2
By way of explanation: The inner query basically recreates your table, but only for BOOK rows, and with an extra column containing the index in the right data type to make a greater than comparison work numerically.
Alternatively something like this:
select
*
from table
where
(
case
when GKEY like 'BOOK%' then
case when convert(int,replace(GKEY,'BOOK-','')) > 2 then 1
else 0
end
else 0
end
) = 1
Essentially the problem is that you need to check for BOOK before you turn the index into a numberic, as the other values of GKEY would create an error (without doing some clunky string handling).
SELECT * FROM `table` AS `t1` WHERE `t1`.`id` > (SELECT `id` FROM `table` AS `t2` WHERE `t2`.`GKEY`='BOOK-2' LIMIT 1)