Combine 2 sql queries into 1 query - mysql
I have 2 queries right now for which I am looking to combine into 1 if possible.
I have open tickets stored in the Tickets_Open table and closed tickets in Tickets_Closed. Both tables have "Date_Requested" and "Date_Completed" columns. I need to count the number of tickets requested and completed each day.
My tickets requested count query is the following:
SELECT SUM(Count) AS TotalOpen, Date FROM(
SELECT COUNT(Ticket_Request_Code) AS Count, Date_Requested AS Date
FROM Tickets_Closed
WHERE Date_Requested >='2018-01-01 00:00:00'
GROUP BY(Date_Requested)
UNION
SELECT COUNT(Work_Request_Code) AS Count, Date_Requested AS Date
FROM Tickets_Open
WHERE Date_Requested >='2018-01-01 00:00:00'
GROUP BY(Date_Requested)
) AS t1 GROUP BY Date ORDER BY `t1`.`Date` DESC
My tickets completed count query is the following:
SELECT COUNT(Ticket_Request_Code) AS CountClosed, Date_Completed AS Date
FROM Tickets_Closed
Where Date_Completed >='2018-01-01 00:00:00'
GROUP BY(Date_Completed)
Both queries return the correct result. For open it returns with the column headings Date and TotalOpen. For close it returns with the column headings Date and CountClosed.
Is it possible to return it with the following column headings Date, TotalOpen, CountClosed.
You can combine these as:
SELECT Date, SUM(isopen) as isopen, SUM(isclose) as isclose
FROM ((SELECT date_requested as date, 1 as isopen, 0 as isclose
FROM Tickets_Closed
WHERE Date_Requested >= '2018-01-01'
) UNION ALL
(SELECT date_requested, 1 as isopen, 0 as isclose
FROM Tickets_Open
WHERE Date_Requested >= '2018-01-01'
) UNION ALL
(SELECT date_closed as date, 0 as isopen, 1 as isclose
FROM Tickets_Closed
WHERE date_closed >= '2018-01-01'
)
) t
GROUP BY Date
ORDER BY Date DESC;
This assumes that Ticket_Request_Code and Work_Request_Code are not NULL. If COUNT() is really being used to check for NULL values, then add the condition to the WHERE clause in each subquery.
This query uses the FULL OUTER JOIN on the Dates as well, but it correctly adds the Open/Closed counts together to give you a TotalOpen Count. This will also handle possible NULL values for cases where you have a day that doesn't close any tickets.
WITH open AS
(
SELECT COUNT(Work_Request_Code) AS OpenCount, Date_Requested AS Date
FROM Tickets_Open
WHERE Date_Requested >='2018-01-01 00:00:00'
GROUP BY(Date_Requested)
)
, close AS
(
SELECT COUNT(Ticket_Request_Code) AS ClosedCount, Date_Requested AS Date
FROM Tickets_Closed
WHERE Date_Requested >='2018-01-01 00:00:00'
GROUP BY(Date_Requested)
)
SELECT
COALESCE(c.Date, o.Date) AS Date
, IFNULL(o.OpenCount, 0) + IFNULL(c.ClosedCount, 0) AS TotalOpen
, IFNULL(c.CountClosed, 0) AS CountClosed
FROM open o
FULL OUTER JOIN closed c ON o.Date = c.Date
Related
Avg function not returning proper value
I expect this query to give me the avg value from daily active users up to date and grouped by month (from Oct to December). But the result is 164K aprox when it should be 128K. Why avg is not working? Avg should be SUM of values / number of current month days up to today. SELECT sq.month_year AS 'month_year', AVG(number) FROM ( SELECT CONCAT(MONTHNAME(date), "-", YEAR(DATE)) AS 'month_year', count(distinct id_user) AS number FROM table1 WHERE date between '2020-10-01' and '2020-12-31 23:59:59' GROUP BY EXTRACT(year_month FROM date) ) sq GROUP BY 1
Ok guys thanks for your help. The problem was that on the subquery I was pulling the info by month and not by day. So I should pull the info by day there and group by month in the outer query. This finally worked: SELECT sq.day_month, AVG(number) FROM (SELECT date(date) AS day_month, count(distinct id_user) AS number FROM table_1 WHERE date >= '2020-10-01' AND date < '2021-01-01' GROUP BY 1 ) sq GROUP BY EXTRACT(year_month FROM day_month)
Do not use single quotes for column aliases! SELECT sq.month_year, AVG(number) FROM (SELECT CONCAT(MONTHNAME(date), '-', YEAR(DATE)) AS month_year, count(distinct id_user) AS number FROM table1 WHERE date >= '2020-10-01' AND date < '2021-01-01' GROUP BY month_year ) sq GROUP BY 1; Note the fixes to the query: The GROUP BY uses the same columns as the SELECT. Your query should return an error (although it works in older versions of MySQL). The date comparisons have been simplified. No single quotes on column aliases. Note that the outer query is not needed. I assume it is there just to illustrate the issue you are having.
How ot return 0 instead of null on mysql query?
The following query returns the visitors and pageviews of last 7 days. However, if there are no results (let's say it is a fresh account), nothing is returned. How to edit this in order to return 0 in days that there are no entries? SELECT Date(timestamp) AS day, Count(DISTINCT hash) AS visitors, Count(*) AS pageviews FROM behaviour WHERE company_id = 1 AND timestamp >= Subdate(Curdate(), 7) GROUP BY day
Assuming that you always have at least one record in the table for each of the last 7 days (regardless of the company_id), then you can use conditional aggregation as follows: select date(timestamp) as day, count(distinct case when company_id = 1 then hash end) as visitors, sum(company_id = 1) as pageviews from behaviour where timestamp >= curdate() - interval 7 day group by day Note that I changed you query to use standard date arithmetics, which I find easier to understand that date functions. Otherwise, you would need to move the condition on the date from the where clause to the aggregate functions: select date(timestamp) as day, count(distinct case when timestamp >= curdate() - interval 7 day and company_id = 1 then hash end) as visitors, sum(timestamp >= curdate() - interval 7 day and company_id = 1) as pageviews from behaviour group by day If your table is big, this can be expensive so I would not recommend that. Alternatively, you can generate a derived table of dates and left join it with your original query: select curdate - interval x.n day day, count(distinct b.hash) visitors, count(b.hash) page_views from ( select 1 n union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 ) x left join behavior b on b.company_id = 1 and b.timestamp >= curdate() - interval x.n day and b.timestamp < curdate() - interval (x.n - 1) day group by x.n
Use a query that returns all the dates from today minus 7 days to today and left join the table behaviour: SELECT t.timestamp AS day, Count(DISTINCT b.hash) AS visitors, Count(b.timestamp) AS pageviews FROM ( SELECT Subdate(Curdate(), 7) timestamp UNION ALL SELECT Subdate(Curdate(), 6) UNION ALL SELECT Subdate(Curdate(), 5) UNION ALL SELECT Subdate(Curdate(), 4) UNION ALL SELECT Subdate(Curdate(), 3) UNION ALL SELECT Subdate(Curdate(), 2) UNION ALL SELECT Subdate(Curdate(), 1) UNION ALL SELECT Curdate() ) t LEFT JOIN behaviour b ON Date(b.timestamp) = t.timestamp AND b.company_id = 1 GROUP BY day
Use IFNULL: IFNULL(expr1, 0) From the documentation: If expr1 is not NULL, IFNULL() returns expr1; otherwise it returns expr2. IFNULL() returns >a numeric or string value, depending on the context in which it is used.
You can use next trick: First, get query that return 1 dummy row: SELECT 1; Next use LEFT JOIN to connect summary row(s) without condition. This join will return values in case data exists on NULL values in other case. Last select from joined queries onle what we need and convert NULL's to ZERO's using IFNULL dunction. SELECT IFNULL(b.day,0) AS DAY, IFNULL(b.visitors,0) AS visitors, IFNULL(b.pageviews,0) AS pageviews FROM ( SELECT 1 ) a LEFT JOIN ( SELECT DATE(TIMESTAMP) AS DAY, COUNT(DISTINCT HASH) AS visitors, COUNT(*) AS pageviews FROM behaviour WHERE company_id = 1 AND TIMESTAMP >= SUBDATE(CURDATE(), 7) GROUP BY DAY ) b ON 1 = 1;
Need help in executing SQL query
Here are two queries with results, I need to run one query to get same result. 1-Total slots 2-created Date 3-start date 4-end date 5-Unused Slots First Query:- SELECT COUNT( id ) as total_slots , created_date, MIN( DATE ) as start_date , MAX( DATE ) as end_date FROM slots GROUP BY created_date; Query 1(Result) Here is image with query result Can I get unused slots in same query as I am getting from below query? But here SELECT COUNT( id ) AS unused FROM slots WHERE user_id =0 AND created_date = '2016-10-01 20:20:20' Result Query with created date 2016-10-01 20:20:20 unused 79 SELECT COUNT( id ) AS unused FROM slots WHERE user_id =0 AND created_date = '2016-10-01 20:24:45' Result Query with created date 2016-10-01 20:24:45 unused 51
Try SELECT COUNT( id ) as total_slots, created_date, MIN( DATE ) as start_date, MAX( DATE ) as end_date, COUNT(CASE WHEN user_id = 0 THEN 1 END) as unused_slots FROM slots GROUP BY created_date;
Calculating a Moving Average MySQL?
Good Day, I am using the following code to calculate the 9 Day Moving average. SELECT SUM(close) FROM tbl WHERE date <= '2002-07-05' AND name_id = 2 ORDER BY date DESC LIMIT 9 But it does not work because it first calculates all of the returned fields before the limit is called. In other words it will calculate all the closes before or equal to that date, and not just the last 9. So I need to calculate the SUM from the returned select, rather than calculate it straight. IE. Select the SUM from the SELECT... Now how would I go about doing this and is it very costly or is there a better way?
If you want the moving average for each date, then try this: SELECT date, SUM(close), (select avg(close) from tbl t2 where t2.name_id = t.name_id and datediff(t2.date, t.date) <= 9 ) as mvgAvg FROM tbl t WHERE date <= '2002-07-05' and name_id = 2 GROUP BY date ORDER BY date DESC It uses a correlated subquery to calculate the average of 9 values.
Starting from MySQL 8, you should use window functions for this. Using the window RANGE clause, you can create a logical window over an interval, which is very powerful. Something like this: SELECT date, close, AVG (close) OVER (ORDER BY date DESC RANGE INTERVAL 9 DAY PRECEDING) FROM tbl WHERE date <= DATE '2002-07-05' AND name_id = 2 ORDER BY date DESC For example: WITH t (date, `close`) AS ( SELECT DATE '2020-01-01', 50 UNION ALL SELECT DATE '2020-01-03', 54 UNION ALL SELECT DATE '2020-01-05', 51 UNION ALL SELECT DATE '2020-01-12', 49 UNION ALL SELECT DATE '2020-01-13', 59 UNION ALL SELECT DATE '2020-01-15', 30 UNION ALL SELECT DATE '2020-01-17', 35 UNION ALL SELECT DATE '2020-01-18', 39 UNION ALL SELECT DATE '2020-01-19', 47 UNION ALL SELECT DATE '2020-01-26', 50 ) SELECT date, `close`, COUNT(*) OVER w AS c, SUM(`close`) OVER w AS s, AVG(`close`) OVER w AS a FROM t WINDOW w AS (ORDER BY date DESC RANGE INTERVAL 9 DAY PRECEDING) ORDER BY date DESC Leading to: date |close|c|s |a | ----------|-----|-|---|-------| 2020-01-26| 50|1| 50|50.0000| 2020-01-19| 47|2| 97|48.5000| 2020-01-18| 39|3|136|45.3333| 2020-01-17| 35|4|171|42.7500| 2020-01-15| 30|4|151|37.7500| 2020-01-13| 59|5|210|42.0000| 2020-01-12| 49|6|259|43.1667| 2020-01-05| 51|3|159|53.0000| 2020-01-03| 54|3|154|51.3333| 2020-01-01| 50|3|155|51.6667|
Use something like SELECT sum(close) as sum, avg(close) as average FROM ( SELECT (close) FROM tbl WHERE date <= '2002-07-05' AND name_id = 2 ORDER BY date DESC LIMIT 9 ) temp The inner query returns all filtered rows in desc order, and then you avg, sum up those rows returned. The reason why the query given by you doesn't work is due to the fact that the sum is calculated first and the LIMIT clause is applied after the sum has already been calculated, giving you the sum of all the rows present
an other technique is to do a table: CREATE TABLE `tinyint_asc` ( `value` tinyint(3) unsigned NOT NULL default '0', PRIMARY KEY (value) ) ; INSERT INTO `tinyint_asc` VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12),(13),(14),(15),(16),(17),(18),(19),(20),(21),(22),(23),(24),(25),(26),(27),(28),(29),(30),(31),(32),(33),(34),(35),(36),(37),(38),(39),(40),(41),(42),(43),(44),(45),(46),(47),(48),(49),(50),(51),(52),(53),(54),(55),(56),(57),(58),(59),(60),(61),(62),(63),(64),(65),(66),(67),(68),(69),(70),(71),(72),(73),(74),(75),(76),(77),(78),(79),(80),(81),(82),(83),(84),(85),(86),(87),(88),(89),(90),(91),(92),(93),(94),(95),(96),(97),(98),(99),(100),(101),(102),(103),(104),(105),(106),(107),(108),(109),(110),(111),(112),(113),(114),(115),(116),(117),(118),(119),(120),(121),(122),(123),(124),(125),(126),(127),(128),(129),(130),(131),(132),(133),(134),(135),(136),(137),(138),(139),(140),(141),(142),(143),(144),(145),(146),(147),(148),(149),(150),(151),(152),(153),(154),(155),(156),(157),(158),(159),(160),(161),(162),(163),(164),(165),(166),(167),(168),(169),(170),(171),(172),(173),(174),(175),(176),(177),(178),(179),(180),(181),(182),(183),(184),(185),(186),(187),(188),(189),(190),(191),(192),(193),(194),(195),(196),(197),(198),(199),(200),(201),(202),(203),(204),(205),(206),(207),(208),(209),(210),(211),(212),(213),(214),(215),(216),(217),(218),(219),(220),(221),(222),(223),(224),(225),(226),(227),(228),(229),(230),(231),(232),(233),(234),(235),(236),(237),(238),(239),(240),(241),(242),(243),(244),(245),(246),(247),(248),(249),(250),(251),(252),(253),(254),(255); After you can used it like that: select date_add(tbl.date, interval tinyint_asc.value day) as mydate, count(*), sum(myvalue) from tbl inner join tinyint_asc.value <= 30 -- for a 30 day moving average where date( date_add(o.created_at, interval tinyint_asc.value day ) ) between '2016-01-01' and current_date() group by mydate
This query is fast: select date, name_id, case #i when name_id then #i:=name_id else (#i:=name_id) and (#n:=0) and (#a0:=0) and (#a1:=0) and (#a2:=0) and (#a3:=0) and (#a4:=0) and (#a5:=0) and (#a6:=0) and (#a7:=0) and (#a8:=0) end as a, case #n when 9 then #n:=9 else #n:=#n+1 end as n, #a0:=#a1,#a1:=#a2,#a2:=#a3,#a3:=#a4,#a4:=#a5,#a5:=#a6,#a6:=#a7,#a7:=#a8,#a8:=close, (#a0+#a1+#a2+#a3+#a4+#a5+#a6+#a7+#a8)/#n as av from tbl, (select #i:=0, #n:=0, #a0:=0, #a1:=0, #a2:=0, #a3:=0, #a4:=0, #a5:=0, #a6:=0, #a7:=0, #a8:=0) a where name_id=2 order by name_id, date If you need an average over 50 or 100 values, it's tedious to write, but worth the effort. The speed is close to the ordered select.
MySQL - How can I improve these queries?
first one: SELECT MONTH(timestamp) AS d, COUNT(*) AS c FROM table WHERE YEAR(timestamp)=2012 AND Status = 1 GROUP BY MONTH(timestamp) one of the issues I'm facing for this one is that I have to run multiple queries that use different values for Status. Is there a way to combine them into one? Like in one column it would have all the counts for when Status=1 and another column for when Status=2, etc. second one: SELECT COUNT(*) c , MONTH(timestamp) t FROM ( SELECT t.adminid, timestamp FROM table1 t LEFT JOIN admins a ON a.adminID=t.adminID WHERE YEAR(timestamp)=2012 GROUP BY t.adminID, DATE(Timestamp) ORDER BY timestamp DESC ) AS a GROUP BY MONTH(timestamp) ORDER BY MONTH(timestamp) ASC; a nested query, not sure if I can improve on this. I'm running this one on 2 tables, one has ~35k rows and one has ~300k rows. It takes about half a second for the first table and 4-5 seconds for the second.
These might help: First one: SELECT MONTH(timestamp) AS d, sum(case when Status=1 then 1 else 0 end) as Status1Count, sum(case when Status=2 then 1 else 0 end) as Status2Count, sum(case when Status=3 then 1 else 0 end) as Status3Count FROM `table` WHERE timestamp between '2012-01-01 00:00:00' and '2012-12-31 23:59:59' AND Status in (1,2,3) GROUP BY MONTH(timestamp); Second one: Make sure that there is an index on the timestamp column and then make sure that you do not run any conversion functions e.g. MONTH(timestamp) on the indexed column. Somthing like: SELECT COUNT(*) c , a.m as t FROM ( SELECT t.adminid, timestamp, MONTH(timestamp) as m FROM table1 t LEFT JOIN admins a ON a.adminID=t.adminID WHERE timestamp between '2012-01-01 00:00:00' and '2012-12-31 23:59:59' GROUP BY t.adminID, DATE(Timestamp) ORDER BY timestamp DESC ) AS a GROUP BY a.m ORDER BY a.m ASC; Second one is a bit tricky since I do not have the data in front of me so I can't see the DB access path!