MYSQL - find and show all duplicates within date difference critria - mysql

This query below selects all rows that have a row with the same father registering 335 days or less since earlier registration. Is there a way to edit this query so that it does not eliminate the duplicate row in the output? I need to see all instances of the registration for that father within 335 days of each other.
SELECT * FROM ymca_reg a later
WHERE NOT EXISTS (
SELECT 1 FROM ymca_reg a earlier
WHERE
earlier.Father_First_Name = later.Father_First_Name
AND earlier.Father_Last_Name = later.Father_Last_Name
AND (later.Date - earlier.Date < 335) AND (later.Date > earlier.Date)
My current query is:
SELECT ymca_reg.* FROM ymca_reg WHERE (((ymca_reg.Year) In (SELECT Year FROM ymca_reg As Tmp
GROUP BY Year, Father_Last_Name, Father_First_Name
HAVING Count(*)>1
And Father_Last_Name = ymca_reg.Father_Last_Name
And Father_First_Name = ymca_reg.Father_First_Name)))
ORDER BY ymca_reg.Year, ymca_reg.Father_Last_Name, ymca_reg.Father_First_Name
This query does return all the duplicates for review correctly, but it's terribly slow because it doesn't use a join and as soon as I add the date criteria it only returns the later row. Thanks.

I think you want something like this:
SELECT *
FROM ymca_reg later
WHERE EXISTS (SELECT 1
FROM ymca_reg earlier
WHERE earlier.Father_First_Name = later.Father_First_Name AND
earlier.Father_Last_Name = later.Father_Last_Name AND
abs(later.Date - earlier.Date) < 335 and
later.Date <> earlier.Date
);
This should return all records that have such duplicates. Note that "later" and "earlier" are no longer really apt descriptions, but I left the names so you can see the similarity to your query.

Related

MySQL - get users who placed 25th order during period

I have users and orders tables with this structure (simplified for question):
USERS
userid
registered(date)
ORDERS
id
date (order placed date)
user_id
I need to get array of users (array of userid) who placed their 25th order during specified period (for example in May 2019), date of 25th order for each user, number of days to place 25th order (difference between registration date for user and date of 25th order placed).
For example if user registered in April 2018, then placed 20 orders in 2018, and then placed 21-30th orders in Jan-May 2019 - this user should be in this array, if he placed 25th (overall for his account) order in May 2019.
How I can do this with MySQL request?
Sample data and structure: http://www.sqlfiddle.com/#!9/998358 (for testing you can get 3rd order as ex., not 25th, to not add a lot of sample data records).
One request is not required - if this can't be done in one request, few is possible and allowed.
You can use a correlated subquery to get the count of orders placed before the current one by a user. If that's 24 the current order is the 25th. Then check if the date is in the desired range.
SELECT o1.user_id,
o1.date,
datediff(o1.date, u1.registered)
FROM orders o1
INNER JOIN users u1
ON u1.userid = o1.user_id
WHERE (SELECT count(*)
FROM orders o2
WHERE o2.user_id = o1.user_id
AND o2.date < o1.date
OR o2.date = o1.date
AND o2.id < o1.id) = 24
AND o1.date >= '2019-01-01'
AND o1.date < '2019-06-01';
The basic inefficient way of doing this would be to get the user_id for every row in ORDERS where the date is in your target range AND the count of rows in ORDERS with the same user_id and a lower date is exactly 24.
This can get very ugly, very quickly, though.
If you're calling this from code you control, can't you do it from the code?
If not, there should be a way to assign to each row an index describing its rank among orders for its specific user_id, and select from this all user_id from rows with an index of 25 and a correct date. This will give you a select from select from select, but it should be much faster. The difficulty here is to control the order of the rows, so here are the selects I envision:
Select all rows, order by user_id asc, date asc, union-ed to nothing from a table made of two vars you'll initialize at 0.
from this, select all while updating a var to know if a row's user_id is the same as the last, and adding a field that will report so (so for each user_id the first line in order will have a specific value like 0 while the other rows for the same user_id will have a 1)
from this, select all plus a field that equals itself plus one in case the first added field is 1, else 0
from this, select the user_id from the rows where the second added field is 25 and the date is in range.
The union thingy is only necessary if you need to do it all in one request (you have to initialize them in a lower select than the one they're used in).
Edit: Well if you need the date too you can just select it along with the user_id, but calculating the number of days in sql will be a pain. Just join the result table to the users table and get both the date of 25th order and their date of registration, you'll surely be able to do the difference in code.
I'll try building an actual request, however if you want to truly understand what you need to make this you gotta read up on mysql variables, unions, and conditional statements.
"Looks too complicated. I am sure that this can be done with current DB structure and 1-2 requests." Well, yeah. Use the COUNT request, it will be easy, and slow as hell.
For the complex answer, see http://www.sqlfiddle.com/#!9/998358/21
Since you can use multiple requests, you can just initialize the vars first.
It isn't actually THAT complicated, you just have to understand how to concretely express what you mean by "an user's 25th command" to a SQL engine.
See http://www.sqlfiddle.com/#!9/998358/24 for the difference in days, turns out there's a method for that.
Edit 5: seems you're going with the COUNT method. I'll pray your DB is small.
Edit 6: For posterity:
The count method will take years on very large databases. Since OP didn't come back, I'm assuming his is small enough to overlook query speed. If that's not your case and let's say it's 10 years from now and the sqlfiddle links are dead; here's the two-queries solution:
SET #PREV_USR:=0;
SELECT user_id, date_ FROM (
SELECT user_id, date_, SAME_USR AS IGNORE_SMUSR,
#RANK_USR:=(CASE SAME_USR WHEN 0 THEN 1 ELSE #RANK_USR+1 END) AS RANK FROM (
SELECT orders.*, CASE WHEN #PREV_USR = user_id THEN 1 ELSE 0 END AS SAME_USR,
#PREV_USR:=user_id AS IGNORE_USR FROM
orders
ORDER BY user_id ASC, date_ ASC, id ASC
) AS DERIVED_1
) AS DERIVED_2
WHERE RANK = 25 AND YEAR(date_) = 2019 AND MONTH(date_) = 4 ;
Just change RANK = ? and the conditions to fit your needs. If you want to fully understand it, start by the innermost SELECT then work your way high; this version fuses the points 1 & 2 of my explanation.
Now sometimes you will have to use an API or something and it wont let you keep variable values in memory unless you commit it or some other restriction, and you'll need to do it in one query. To do that, you put the initialization one step lower and make it so it does not affect the higher statements. IMO the best way to do this is in a UNION with a fake table where the only row is excluded. You'll avoid the hassle of a JOIN and it's just better overall.
SELECT user_id, date_ FROM (
SELECT user_id, date_, SAME_USR AS IGNORE_SMUSR,
#RANK_USR:=(CASE SAME_USR WHEN 0 THEN 1 ELSE #RANK_USR+1 END) AS RANK FROM (
SELECT DERIVED_4.*, CASE WHEN #PREV_USR = user_id THEN 1 ELSE 0 END AS SAME_USR,
#PREV_USR:=user_id AS IGNORE_USR FROM
(SELECT * FROM orders
UNION
SELECT * FROM (
SELECT (#PREV_USR:=0) AS INIT_PREV_USR, 0 AS COL_2, 0 AS COL_3
) AS DERIVED_3
WHERE INIT_PREV_USR <> 0
) AS DERIVED_4
ORDER BY user_id ASC, date_ ASC, id ASC
) AS DERIVED_1
) AS DERIVED_2
WHERE RANK = 25 AND YEAR(date_) = 2019 AND MONTH(date_) = 4 ;
With that method, the thing to watch for is the amount and the type of columns in your basic table. Here orders' first field is an int, so I put INIT_PREV_USR in first then there are two more fields so I just add two zeroes with names and call it a day. Most types work, since the union doesn't actually do anything, but I wouldn't try this when your first field is a blob (worst comes to worst you can use a JOIN).
You'll note this is derived from a method of pagination in mysql. If you want to apply this to other engines, just check out their best pagination calls and you should be able to work thinks out.

MYSQL updating a table containing a join and subquery

I am relatively new to SQL, i am trying to update monthly salary based on employees working for a certain duration, the query displays the data using info from the person and employee table but it won't update, i keep getting a 'operand should contain 1 column' error? How would i go about displaying all the data and be able to update the monthly_salary column as well? Thanks.
UPDATE employee ep set monthly_salary = monthly_salary*1.15 = all(
SELECT p.person_id, p.name_first, p.name_last, ep.monthly_salary, ep.start_date, curdate() as today_date,
TIMESTAMPDIFF(month,ep.start_date,curdate()) as duration_months
FROM employee ep
INNER JOIN person p ON ep.person_id = p.person_id having duration_months > 24);
query result
I want this expected result but the monthly salary hasn't been updated yet, is it possible to display this and update the monthly_salary?
You are not able to do both in a single query. Typically one would run a "select query" to inspect if the desired logic appears correct, e.g.
SELECT
p.person_id
, p.name_first
, p.name_last
, ep.start_date
, curdate() as today_date
, TIMESTAMPDIFF(month,ep.start_date,curdate()) as duration_months
FROM employee ep
INNER JOIN person p ON ep.person_id = p.person_id
WHERE ep.start_date < curdate() - INTERVAL 24 MONTH
;
In that query the important piece of logic is the where clause which seeks out any employees with a start date earlier than today - 24 months.
If that logic is correct, then apply the same logic in an "update query":
UPDATE employee ep
SET monthly_salary = monthly_salary*1.15
WHERE ep.start_date < curdate() - INTERVAL 24 MONTH
;
Syntax notes:
you cannot string multiple conditions together using multiple equality operators (monthly_salary = monthly_salary*1.15 = all(...) there are 2 = signs in that
x = all() requires that all values returned by a subquery will equal x
the having clause is NOT just a substitute for a where clause. A having clause is designed for evaluating aggregated data e.g. having count(*) > 2
Finally, while it was inventive to use the having clause, what you were doing was gaining access to the alias 'duration_months', so you could simply have done this instead:
where TIMESTAMPDIFF(month,ep.start_date,curdate()) > 24
BUT this is not a good way to filter information because it requires running a function on every row of data before a decision can be reached. This has he effect of making queries slower. Compare that to the following:
WHERE ep.start_date < curdate() - INTERVAL 24 MONTH
ep.start_date is not affected by any function, and curdate() - INTERVAL 24 MONTH is just one calculation (not done every row). So this is much more efficient (also known as "sargable").

Generating complex sql tables

I currently have an employee logging sql table that has 3 columns
fromState: String,
toState: String,
timestamp: DateTime
fromState is either In or Out. In means employee came in and Out means employee went out. Each row can only transition from In to Out or Out to In.
I'd like to generate a temporary table in sql to keep track during a given hour (hour by hour), how many employees are there in the company. Aka, resulting table has columns HourBucket, NumEmployees.
In non-SQL code I can do this by initializing the numEmployees as 0 and go through the table row by row (sorted by timestamp) and add (employee came in) or subtract (went out) to numEmployees (bucketed by timestamp hour).
I'm clueless as how to do this in SQL. Any clues?
Use a COUNT ... GROUP BY query. Can't see what you're using toState from your description though! Also, assuming you have an employeeID field.
E.g.
SELECT fromState AS 'Status', COUNT(*) AS 'Number'
FROM StaffinBuildingTable
INNER JOIN (SELECT employeeID AS 'empID', MAX(timestamp) AS 'latest' FROM StaffinBuildingTable GROUP BY employeeID) AS LastEntry ON StaffinBuildingTable.employeeID = LastEntry.empID
GROUP BY fromState
The LastEntry subquery will produce a list of employeeIDs limited to the last timestamp for each employee.
The INNER JOIN will limit the main table to just the employeeIDs that match both sides.
The outer GROUP BY produces the count.
SELECT HOUR(SBT.timestamp) AS 'Hour', SBT.fromState AS 'Status', COUNT(*) AS 'Number'
FROM StaffinBuildingTable AS SBT
INNER JOIN (
SELECT SBIJ.employeeID AS 'empID', MAX(timestamp) AS 'latest'
FROM StaffinBuildingTable AS SBIJ
WHERE DATE(SBIJ.timestamp) = CURDATE()
GROUP BY SBIJ.employeeID) AS LastEntry ON SBT.employeeID = LastEntry.empID
GROUP BY SBT.fromState, HOUR(SBT.timestamp)
Replace CURDATE() with whatever date you are interested in.
Note this is non-optimal as it calculates the HOUR twice - once for the data and once for the group.
Again you are using the INNER JOIN to limit the number of returned row, this time to the last timestamp on a given day.
To me your description of the FromState and ToState seem the wrong way round, I'd expect to doing this based on the ToState. But assuming I'm wrong on that the following should point you in the right direction:
First, I create a "Numbers" table containing 24 rows one for each hour of the day:
create table tblHours
(Number int);
insert into tblHours 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);
Then for each date in your employee logging table, I create a row in another new table to contain your counts:
create table tblDailyHours
(
HourBucket datetime,
NumEmployees int
);
insert into tblDailyHours (HourBucket, NumEmployees)
select distinct
date_add(date(t.timeStamp), interval h.Number HOUR) as HourBucket,
0 as NumEmployees
from
tblEmployeeLogging t
CROSS JOIN tblHours h;
Then I update this table to contain all the relevant counts:
update tblDailyHours h
join
(select
h2.HourBucket,
sum(case when el.fromState = 'In' then 1 else -1 end) as cnt
from
tblDailyHours h2
join tblEmployeeLogging el on
h2.HourBucket >= el.timeStamp
group by h2.HourBucket
) cnt ON
h.HourBucket = cnt.HourBucket
set NumEmployees = cnt.cnt;
You can now retrieve the counts with
select *
from tblDailyHours
order by HourBucket;
The counts give the number on site at each of the times displayed, if you want during the hour in question, we'd need to tweak this a little.
There is a working version of this code (using not very realistic data in the logging table) here: rextester.com/DYOR23344
Original Answer (Based on a single over all count)
If you're happy to search over all rows, and want the current "head count" you can use this:
select
sum(case when t.FromState = 'In' then 1 else -1) as Heads
from
MyTable t
But if you know that there will always be no-one there at midnight, you can add a where clause to prevent it looking at more rows than it needs to:
where
date(t.timestamp) = curdate()
Again, on the assumption that the head count reaches zero at midnight, you can generalise that method to get a headcount at any time as follows:
where
date(t.timestamp) = "CENSUS DATE" AND
t.timestamp <= "CENSUS DATETIME"
Obviously you'd need to replace my quoted strings with code which returned the date and datetime of interest. If the headcount doesn't return to zero at midnight, you can achieve the same by removing the first line of the where clause.

How to get the record of employees who were joined in first quarter or first month

I want to retrieve the records of employees who were joined in first quarter or in the first month. I have tried this but am not getting the right answer...
SELECT * FROM table
WHERE DOJ(date_created) = DOJ(CURRENT_DATE - INTERVAL 1 MONTH)
Please help me with this!
Answering the question as clarified in a comment...
SELECT * FROM table
WHERE YEAR(table.doj) = 2015 AND QUARTER(table.doj) = 1
If instead you want "first quarter of prior year"...
SELECT * FROM table
WHERE YEAR(table.doj) = YEAR(CURRENT_DATE) - 1 AND QUARTER(table.doj) = 1
In either case, note that there's no code to include the first month, because that's part of the first quarter. However, if you wanted to make that explicit (at a slight performance hit), you could code it as follows...
SELECT * FROM table
WHERE YEAR(table.doj) = 2015 AND (QUARTER(table.doj) = 1
OR MONTH(table.doj) = 1)
If you run into performance problems because you have a lot of records but only an index on table.doj, you could also write the query over an explicit date range...
SELECT * FROM table
WHERE table.doj >= '2015-01-01' AND table.doj <= '2015-03-31'

MySql count entries without duplicate datetime

I have a table which logs all "check-ins" into a system. I want to count all "check-ins" from an user for the current day, but there's the problem that sometimes users check-in like two or three times by mistake in one minute. So I just want to count all entries with a gap from at least two minutes
My current command looks like:
"SELECT event_datetime, LEFT(tag_uid,8) AS tag_uid, count(*) as anzahl FROM events WHERE date(event_datetime) = curdate() GROUP BY tag_uid"
So I only want to count it if the gap between event_datetime is at least two minutes grouped by the tag_uid (the user)
Any ideas how to solve that?
first, you need to calculate the gap for each tag_uid and then you can set conditions as you wish. To calculate the gap you need to have a nested select commands which will get the "first checkIn" and "last checkIn" using min and max command. Use the "timediff" to calculate the time gap.
NOTE: i haven't tried the code, also I've added the select commands so you can see the values to find Errors.
the code would look similar to this:
SELECT
tbl_outer_events.event_datetime,
LEFT(tbl_outer_events.tag_uid,8) AS tag_uid,
count(tbl_outer_events.tag_uid) as anzahl,
(select min(event_datetime) from tbl_events as T1 where ( (t1.tag_uid = tbl_outer_events.tag_uid)) and (date(t1.event_datetime) = curdate()) )as `first_checkin`,
(select max(event_datetime) from tbl_events as T1 where ( (t1.tag_uid = tbl_outer_events.tag_uid)) and (date(t1.event_datetime) = curdate()))as `last_checkin`,
(select TIMEDIFF(max(event_datetime), min(event_datetime)) from tbl_events as T1 where ( (t1.tag_uid = tbl_outer_events.tag_uid)) and (date(t1.event_datetime) = curdate())) as `interval`
FROM events as tbl_outer_events
WHERE ((date(event_datetime) = curdate())
AND (select TIMEDIFF(max(event_datetime), min(event_datetime)) from tbl_events as T1 where ( (t1.tag_uid = tbl_outer_events.tag_uid)) and (date(t1.event_datetime) = curdate())) >= '00:20:00')
GROUP BY tag_uid;
PS: please provide us with sample data or desired outcome. it will help us and you to understand the issue.