I am working with two tables in this query Table 1: admit, Table 2: Billing.
What I want to do is show people who are admitted to our crisis services (program codes '44282' and '44283'). For these people, I want to show their insurance, which is under the field guarantor_id in the Billing Table. To do this, I need to show ALL the max coverage effective dates cov_effective_date where the coverage effective date is less than the admission date preadmit_admission_date and the coverage expiration date cov_expiration_date is greater than the admission date (or Is Null). The code I have right now does everything I want, but doesn’t get all the max coverage effective dates. So if someone had two different insurances that began on the same date it will only show one and I want it show both.
Select
A.patid
,A.episode_number
,A.preadmit_admission_date
,A.program_code
,A.program_value
,A.c_date_of_birth
,A.guarantor_id
,max(A.cov_effective_date) as "MaxDate"
from(
Select
SA.patid
,SA.episode_number
,SA.preadmit_admission_date
,SA.program_code
,SA.program_value
,SA.c_date_of_birth
,BGE.guarantor_id
,BGE.cov_effective_date
From System.view_episode_summary_admit as "SA"
Left Outer Join
(Select
BG.patid
,BG.episode_number
,BG.guarantor_id
,BG.cov_effective_date
,BG.cov_expiration_date
from System.billing_guar_emp_data as "BG"
Inner Join
(Select patid, episode_number, preadmit_admission_date
from System.view_episode_summary_admit ) as "A"
On
(A.patid = BG.patid) and (A.episode_number = BG.episode_number)
Where
BG.cov_effective_date <= preadmit_admission_date and
(BG.cov_expiration_date >= preadmit_admission_date or
BG.cov_expiration_date Is Null)
) as "BGE"
on
(BGE.patid = SA.patid) and (BGE.episode_number = SA.episode_number)
Where
(program_code = '44282' or program_code = '44283' )
and preadmit_admission_date >= {?Start Date}
and preadmit_admission_date <= {?End Date}
) A
Group By Patid, Episode_number
Sorry this is such a psuedo answer.
Select (your fields)
from (your entire query)bg
left join
(select patid, max(cov_effective_date) maxdate from system.billing_guar_emp_data group by patid) maxdate
on maxdate.patid = bg.patidate
Remove the group bys for the aggregate...you can now refer to maxdate.maxdate as a field in your opening select statement. Might be a better place to join this maxdate than joined at the very end of the query (possibly right under BG in the from statement), but psuedo code right? :) Hopefully you can apply the concept, let me know I'm free (freer?) in the afternoon if you need more.
Related
I am making a covid log db for easy contact tracing.
these are my tables
log_tbl (fk_UserID, fk_EstID, log_date, log_time)
est_tbl (EstID, EstName)
user_tbl (User_ID, Name, Address, MobileNumber)
I wanted to write a statement that shows when and where an individual (User_ID)
enters an Establishment (EstID),
SELECT l.*
FROM log_tbl l
WHERE (l.EstID, l.log_date) IN (SELECT l2.EstID, l2.log_date
FROM log_tbl l2
WHERE l2.User_ID = 'LIN78JFF5WG'
);
[Result of Query]1
this currently works,
but it still has to be filterd by +-2 hours based on the time the when User_ID was logged on log_tbl, so that it would narrow down result when first query would spit out 1000 logs. Because these Results will be Contacted, and to reduce Costs, it needs to be narrowed down to less than 50%.
So, table below should not include first 2 and last one because it doesn't fit with 1, the date, and 2 the time, in relation to the searched userLIN78JFF5WG
[Unfiltered Result]2
FROM log_tbl
WHERE User_ID = 'LIN78JFF5WG'
AND (BETWEEN subtime(log_tbl.log_time, '02:00:00') AND addtime(log_tbl.log_time, '02:00:00'
I know this is wrong, but I don't have any idea how to join the two queries
and result should include
EstID, Name, Address, MobileNumber, log_date, log_time sorted by Date
Imagine it like this,
There are 3 baskets full of tomatoes,
2 of the baskets have rotten tomatoes inside.
Do you throw away the whole basket full of tomatoes?
No.. you select the rotten tomato, and others close to it, and throw them away.
I need that for the DB, instead of Getting Result for the Whole Day,
I only need the People who are in close contact with The Target user.
is it possible to do this on mysql? I have to use mysql because of reasons..
Here I include the data sample fiddle:
https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=050b2103d3adf5828524f49066c12e74
MySQL supports window functions with the range window frame specification. I would suggest:
select l.*
from (select l.*,
sum(case when fk_UserID = 'LIN78JFF5WG' then 1 else 0 end) over
(partition by log_date
order by log_time
range between interval 2 hour preceding and interval 2 hour following
) as cnt_user
from log_tbl l
) l
where cnt_user > 0;
Here is a db<>fiddle.
You can then annotate the results would other columns from other tables to get your final result.
This should be much faster than alternative methods.
Note, however, that you have a flaw in this logic, because it is not checking four hours between 0:00-2:00 a.m. and 22:00-0:00. You can store the date/time in a single column to make it easier to get a more accurate list.
I am not fully understand your requirements.
but I write sample sql so that we can make it clear
select *,(select UNIX_TIMESTAMP(CONCAT(log_date," ",log_time)) as ts from log_tbl where fk_UserID='LIN78JFF5WG') as target_time
from
log_tbl as l
-- simple join query.to get intend information
left join user_tbl as u on (u.User_id=l.fk_UserID)
left join est_tbl as e on (l.fk_EstID=e.EstID)
-- mysql datediff only return day as unit.so we convert to timestamp to do the diff
where UNIX_TIMESTAMP(CONCAT(l.log_date," ",l.log_time)) - target_time between 60*60*2 and 60*60*2
-- solution two
-- but I suggest you divide it into two sql like this.
select UNIX_TIMESTAMP(CONCAT(log_date," ",log_time)) as ts from log_tbl where fk_UserID='LIN78JFF5WG';
-- we get the user log timestamp.and use it in next query
select *
from
log_tbl as l
-- simple join query.to get intend information
left join user_tbl as u on (u.User_id=l.fk_UserID)
left join est_tbl as e on (l.fk_EstID=e.EstID)
-- mysql datediff only return day as unit.so we convert to timestamp to do the diff
where UNIX_TIMESTAMP(CONCAT(l.log_date," ",l.log_time)) - [target_time(passed by code)] between 60*60*2 and 60*60*2
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.
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.
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.
My current query:
SELECT Series.*, Episodes.* FROM Series, Episodes
WHERE EpisodeAirDate > '.time().' AND Episodes.SeriesKey = Series.SerieID
GROUP BY Series.SerieTitle ORDER BY Episodes.EpisodeAirDate;
I want to retrieve the information from Episodes where Episodes.EpisodeAirDate is the closest to the current time (time()). With this I just get the last episode in the database.
I've tried with
SELECT Series.*, Episodes.*, MIN(Episodes.EpisodeAirDate) AS EpisodeAirDate FROM Series, Episodes
WHERE EpisodeAirDate > '.time().' AND Episodes.SeriesKey = Series.SerieID
GROUP BY Series.SerieTitle ORDER BY EpisodeAirDate;
which kind of works, but Episode.EpisodeTitle etc. does not correspond with the timestamp row.
Here I'm using the MIN()-query (http://grab.by/8UNY). I wasn't allowed to post an image, so perhaps a link will suffice :)
As you can see, the SerieTitle and "Time until" is correct, but the EpisodeTitle, EpNo and SeasonNo is that of the first query.
It's hard to explain, really. I hope you make sense of this! :)
Please try this:
SELECT S.*,E.* FROM Series S
JOIN (SELECT SeriesKey, MIN(EpisodeAirDate) MinDate FROM Episodes
WHERE EpisodeAirDate > NOW() GROUP BY SeriesKey) M
ON M.SeriesKey = S.SerieID
JOIN Episodes E ON E.SeriesKey = S.SerieID AND E.EpisodeAirDate = M.MinDate
ORDER BY E.EpisodeAirDate;
Edit: Added the ORDER BY clause.