I have a query that give me a table like this:
Person | Date_IN | Date_OUT | Structure
During a year a person ENTER and EXIT many times, ENTER and EXIT could be also the same day.
I'd like to count, for a specific day of year, how many person were IN each structure.
The final goal is to have, for a given period (1st march --> 31st march), the sum of total person for each day for each structure.
I believe the following would work. It assumes that you have a table of dates (consists of one column which contains all the dates between 1950 and 2050) and you simply join it with the person check in/out table:
SELECT dates.date, Structure, COUNT(DISTINCT Person) Persons_on_That_Date
FROM dates
LEFT JOIN turndata ON dates.date BETWEEN Date_IN AND Date_OUT
WHERE dates.date BETWEEN '2018-03-01' AND '2018-03-31'
GROUP BY dates.date, Structure
ORDER BY Structure, dates.date
Demo Here
Note: the above assumes that the out date is inclusive (the person is counted as inside on that date). If out date is exclusive then the ON clause becomes:
... ON Date_IN <= dates.date AND dates.date < Date_OUT
Please use below query, data is grouped by structure for particular timeframe.
SELECT structure, COUNT(DISTINCT person) as no_of_person
FROM table_name
WHERE DATE(Date_IN) BETWEEN '2018-08-01' AND '2018-08-31'
GROUP BY structure
You say there can be no multiple date_in for the same day and person, because a person is in at least one day. So for a given date we only must look at the latest event per person until then to see whether the person is/was in that day.
These are the steps:
create a data set for the requiered days on-the-fly
join with the table and get the last date_in until that day per person
join with the table again to get the last records
aggregate per day and count persons present
This is:
select
data.day
sum(t.date_in is not null and (t.date_out is null or t.date_out = data.day)) as count_in
from
(
select days.day, t.person, max(t.date_in) as max_date_in
from (select date '2018-03-01' as day union all ...) days
left join t on t.date_in <= days.day
group by days.day, t.person
) data
left join t on t.person = data.person and t.date_in = data.max_date_in
group by data.day
order by data.day;
Related
My table is like this:
root_tstamp
userId
2022-01-26T00:13:24.725+00:00
d2212
2022-01-26T00:13:24.669+00:00
ad323
2022-01-26T00:13:24.629+00:00
adfae
2022-01-26T00:13:24.573+00:00
adfa3
2022-01-26T00:13:24.552+00:00
adfef
...
...
2021-01-26T00:12:24.725+00:00
d2212
2021-01-26T00:15:24.669+00:00
daddfe
2021-01-26T00:14:24.629+00:00
adfda
2021-01-26T00:12:24.573+00:00
466eff
2021-01-26T00:12:24.552+00:00
adfafe
I want to get the number of users in the current year and in previous year like below using SQL.
Date Users previous_year
2022-01-01 10 5
2022-01-02 20 15
The code is written as follows.
select CAST(root_tstamp as DATE) as Date,
count(DISTINCT userid) as users,
count(Distinct case when CAST(root_tstamp as DATE) = dateadd(MONTH,-12,CAST(root_tstamp as DATE)) then userid end) as previous_year
FROM table1
But it returns 0 for previous_year values.
How can I fix that?
Possible solution for SQL Server:
WITH cte AS ( SELECT 2022 [year]
UNION ALL
SELECT 2021 )
SELECT cte.[year],
COUNT(DISTINCT test.userId) current_users_amount,
COUNT(DISTINCT CASE WHEN YEAR(test.root_tstamp) < cte.[year]
THEN test.userId
END) previous_users_amount
FROM test
JOIN cte ON YEAR(test.root_tstamp) <= cte.[year]
GROUP BY cte.[year]
https://dbfiddle.uk/?rdbms=sqlserver_2017&fiddle=88b78aad9acd965bdbac4c85a0b81927
This query (for MySql) returns unique number of userids where the root_timestamp is in the current year, by day, and the number of unique userids for the same day last year. If there is no record for a day in the current year nothing will be displayed for that day. If there are rows for the current year, but no rows for the same day last year, then NULL will be shown for that lastyear column.
SELECT cast(ty.root_tstamp as date) as Dte,
COUNT(DISTINCT ty.userId) as users_this_day,
count(distinct lysd.userid) as users_sameday_lastyear
FROM test ty
left join
test lysd
on cast(lysd.root_tstamp as date)=date_add(cast(ty.root_tstamp as date), interval -1 year)
WHERE YEAR(ty.root_tstamp) = year(current_date())
GROUP BY Dte
If you wish to show output rows for calendar days even if there are no rows in current year and/or last year, then you also need a calendar table to be introduced (let's hope that it is not what you need)
In oracle sql, how to get the count of newly added customers only for the month of april and may and make sure they werent there in the previous months
SELECT CUSTOMER ID , COUNT(*)
FROM TABLE
WHERE DATE BETWEEN '1-APR-2018' AND '31-MAY-2018' AND ...
If we give max (date) and min(date), we can compare the greater date to check if this customer is new , correct?
expected output is month count
april ---
may ---
should show the exact count how many new customers joined in these two months
One approach is to use aggregation:
select customer_id, min(date) as min_date
from t
group by customer_id
having min(date) >= date '2018-04-01 and
min(date) < date '2018-06-01';
This gets the list of customers (which your query seems to be doing). To get the count, just use count(*) and make this a subquery.
I am using one table, mrp to store multi room properties and a second table booking to store the dates the property was booked on.
I thus have the following tables:
mrp(property_id, property_name, num_rooms)
booking(property_id, booking_id, date)
Whenever a property is booked, an entry is made in the bookings table and because each table has multiple rooms, it can have multiple bookings on the same day.
I am using the following query:
SELECT * FROM mrp
WHERE property_id
NOT IN (SELECT property_id FROM booking WHERE `date` >= {$checkin_date} AND `date` <= {$checkout_date}
)
But although this query would work fine for a property with a single room (that is, it only lists properties which have not been booked altogether between the dates you provide), it does not display properties that have been booked but still have vacant rooms. How can we use count and the num_rooms table to show in my results the rooms which are still vacant, even if they already have a booking between the selected dates, and to display in my results the number of rooms that are free.
You need 3 levels of query. The innermost query will list properties and dates where all rooms are fully booked (or overbooked) on any day within your date range. The middle query narrows that down to just a list of property_id's. The outermost query lists all properties that are NOT in that list.
SELECT *
FROM mrp
WHERE property_id NOT IN (
-- List all properties sold-out on any day in range
SELECT DISTINCT Z.property_id
FROM (
-- List sold-out properties by date
SELECT MM.property_id, MM.num_rooms, BB.adate
, COUNT(*) as rooms_booked
FROM mrp MM
INNER JOIN booking BB on MM.property_id = BB.property_id
WHERE BB.adate >= #checkin AND BB.adate <= #checkout
GROUP BY MM.property_id, MM.num_rooms, BB.adate
HAVING MM.num_rooms - COUNT(*) <= 0
) as Z
)
You are close but you need to change the dates condition and add a condition to match the records from the outer and inner queries (all in the inner query's WHERE clause):
SELECT * FROM srp
WHERE NOT EXISTS
(SELECT * FROM bookings_srp
WHERE srp.booking_id = bookings_srp.booking_id
AND `date` >= {$check-in_date} AND `date` <= {$check-out_date})
You have to exclude the properties which are booked between the checkin date and checkout date. This query should do:
SELECT * FROM srp WHERE property_id NOT IN (
SELECT property_id FROM booking WHERE `date` >= {$checkin_date} AND `date` <= {$checkout_date}
)
I am struggling with this one.
I have a table called customers, and a table called sales. I want to be able to list for example, all the customers with who have sales from 31 Dec 2010 and earlier - however at the same time exclude the customer if the was a sale made after 31 Dec 2010.
At the moment I have
SELECT * FROM sales WHERE date <= '2010-12-31 23:59:59' ORDER BY sale_id DESC
Which selects the sales on or before my set date.
Then I have another query
SELECT * FROM sales WHERE customer_id='$result1[customer_id]' AND date >= '2010-12-31 23:59:59'
This now finds the sales using the customer_id value from the original query to find which customers have sales after the my search date. I then use a variable if this second query returns a result, for example..
$query2 = mysql_db_query($dbname, "SELECT * FROM sales WHERE customer_id='$r1[customer_id]' AND date >= '2010-12-31 23:59:59'");
$counted = mysql_num_rows($query2);
if($counted > 0){
$hidesale="do";
}
which stops the original query from displaying a result.
However this obviously can take some time as it needs to be select every sale before 31 Dec 2010 then run a second query under that sale to find it out if the same customer has any future sales determining if it should be shown or not.
Is it possible to get the above into a single MySQL query, that way I can also limit results to create a page system so that all the results aren't on a single page?
You can select customers who have sales before 2010-12-31 that doesn't have any sales after 2010-12-31 by using NOT EXISTS like below
SELECT * FROM sales s1 WHERE date <= '2010-12-31 23:59:59'
AND NOT EXISTS(SELECT customer_id FROM sales s2
WHERE s2.customer_id = s1.customer_id
date > '2010-12-31 23:59:59')
ORDER BY sale_id DESC
or you can use LEFT JOIN solution
SELECT s1.*
FROM sales s1
LEFT JOIN sales s2
ON (s1.customer_id = s2.customer_id AND s2.date > '2010-12-31 23:59:59')
WHERE s1.date <= '2010-12-31 23:59:59'
AND s2.customer_id IS NULL
ORDER BY s1.sale_id DESC
to speed things up you can index customer_id column and date column and sale_id column by using
CREATE INDEX sales_customer_id_index ON sales(customer_id);
CREATE INDEX sales_date_index ON sales(date);
CREATE INDEX sales_sale_id_index ON sales(sale_id);
I am trying to count sales made by a list of sales agents, this count is made every few minutes and updates a screen showing a 'sales leader board' which is updates using a Ajax call in the background.
I have one table which is created and populated every night containing the agent_id and the total sales for the week and month. I create a second, temporary table, on the fly which counts the sales for the day.
I need to combine the two tables to create a current list of sales for all agents in agent_count.
Table agent_count;
agent_id (varchar),
team_id (varchar),
name (varchar),
day(int),
week(int),
month(int)
Table sales;
agent_id (varchar),
day(int)
I can't figure out how to combine these tables. I think I need to use a join as all agents must be returned - even if they don't appear in the agent_count table.
First I make a simple call to get the week and month totals for all agents
SELECT agent_id, team_id, name, week, month FROM agent_count;
the I create a temporary table of todays sales, and then I count the sales for each agent for the day
CREATE TEMPORARY TABLE temp_todays_sales
SELECT s.id, s.agent_id
FROM sales s
WHERE DATEDIFF(s.uploaded, NOW()) = 0
AND s.valid = 1;
SELECT tts.agent_id, COUNT(tts.id) as today
FROM temp_todays_sales tts
GROUP BY tts.agent_id;
What is the best/easiet way to combine these to end up with a resultset such as
agent_id, team_id, name, day, week, month
where week and month also include the daily totals
thanks for any help!
Christy
SELECT s.agent_id, ac.team_id, ac.name,
s.`day` + COALESCE(ac.`day`, 0) AS `day`,
s.`day` + COALESCE(ac.`week`, 0) AS `week`,
s.`day` + COALESCE(ac.`month`, 0) AS `month`
FROM sales s
LEFT JOIN
agent_count ac
ON ac.agent_id = s.agent_id
team_id and name will be NULL if there is no record in agent_count for an agent.
If the agents can be missing from both tables, you normally would need to make a FULL JOIN but since MySQL does not support the latter you may use its poor man's substitution:
SELECT agent_id, MAX(team_id), MAX(name),
SUM(day), SUM(week), SUM(month)
FROM (
SELECT agent_id, NULL AS team_id, NULL AS name, day, day AS week, day AS month
FROM sales
UNION ALL
SELECT *
FROM agent_count
) q
GROUP BY
agent_id