I have a query that returns the following table. Null indicates the employee is still in that assignment:
|Dept|EmployeeAssignment|BeginDate |EndDate |
|1003|Analyst |01/01/1990|02/04/2013|
|1002|Coordinator |05/14/2000|06/01/2013|
|1003|Trainer |07/28/2010|NULL |
|1004|Janitor |08/09/2013|NULL |
|1005|IT |09/02/2013|12/21/2013|
Is there anything I can do that would allow me to track if the employee was present in that assignment by month during 2013. Something like this would be ideal:
|Dept|EmployeeAssignment|BeginDate |EndDate |Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec|
|1003|Analyst |01/01/1990|02/04/2013| 1 | 1 | | | | | | | | | | |
|1002|Coordinator |05/14/2000|06/01/2013| 1 | 1 | 1 | 1 | 1 | 1 | | | | | | |
|1003|Trainer |07/28/2010|NULL | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
|1004|Janitor |08/09/2013|NULL | | | | | | | | 1 | 1 | 1 | 1 | 1 |
|1005|IT |09/02/2013|12/21/2013| | | | | | | | | 1 | 1 | 1 | 1 |
Thanks in advance for any help you can provide.
Again you can extrapolate other months, but I think it clear to do this works.
Fiddle
//using your demo input
DECLARE #tbl TABLE(Dept INT,EmployeeAssignment VARCHAR(20),BeginDate DATE,EndDate DATE)
INSERT INTO #tbl VALUES
(1003,'Analyst' ,'01/01/1990','02/04/2013')
,(1002,'Coordinator' ,'05/14/2000','06/01/2013')
,(1003,'Trainer' ,'07/28/2010',NULL )
,(1004,'Janitor' ,'08/09/2013',NULL )
,(1005,'IT' ,'09/02/2013','12/21/2013')
SELECT *
,CASE WHEN BeginDate <= '2013-01-31' AND ISNULL(EndDate,GETDATE()) >='2013-01-01' THEN 1 ELSE NULL END Jan
,CASE WHEN BeginDate <= '2013-02-28' AND ISNULL(EndDate,GETDATE()) >='2013-02-01' THEN 1 ELSE NULL END Feb
FROM #tbl
Related
While going through SQL columns, if we find text match "NEW" in Calc column, update the incrementing a count starting with 1 in Results column.
It should look like this on the output:
The following uses an id column to resolve the order issue. Replace that with your corresponding expression. This also addresses the requirement to start the display sequence with 1 and also show 0 for the 'NEW' rows.
The SQL (updated):
SELECT logs.*
, CASE WHEN text = 'NEW' THEN 0
ELSE
COALESCE(SUM(CASE WHEN text = 'NEW' THEN 1 END) OVER (PARTITION BY xrank ORDER BY id)+1, 1)
END AS display
FROM logs
ORDER BY id
The result:
+----+-------+------+---------+
| id | xrank | text | display |
+----+-------+------+---------+
| 1 | 1 | A | 1 |
| 2 | 1 | B | 1 |
| 3 | 1 | C | 1 |
| 4 | 1 | NEW | 0 |
| 5 | 1 | D | 2 |
| 6 | 1 | Q | 2 |
| 7 | 1 | B | 2 |
| 8 | 1 | NEW | 0 |
| 9 | 1 | D | 3 |
| 10 | 1 | Z | 3 |
| 11 | 2 | A | 1 |
| 12 | 2 | B | 1 |
| 13 | 2 | C | 1 |
| 14 | 2 | NEW | 0 |
| 15 | 2 | D | 2 |
| 16 | 2 | Q | 2 |
| 17 | 2 | B | 2 |
| 18 | 2 | NEW | 0 |
| 19 | 2 | D | 3 |
| 20 | 2 | Z | 3 |
+----+-------+------+---------+
You need a column that specifies the ordering for the table. With that, just use a cumulative sum:
select t.*,
1 + sum(case when Calc = 'NEW' then 1 else 0 end) over (partition by Rank_Id order by Seq) as display
from t;
I need to create a new column that restarts at every 0 value of Column Repeated Call of each Customer_ID:
+-------------+---------+----------------------+---------------+
| Customer_ID | Call_ID | Days Since Last Call | Repeated Call |
+-------------+---------+----------------------+---------------+
| 1 | 1 | Null | 0 |
| 1 | 2 | 45 | 0 |
| 1 | 3 | 0 | 1 |
| 1 | 4 | 0 | 1 |
| 1 | 5 | 0 | 1 |
| 1 | 6 | 48 | 0 |
| 1 | 7 | 1 | 1 |
| 2 | 8 | Null | 0 |
| 2 | 9 | 1 | 1 |
+-------------+---------+----------------------+---------------+
In to something like this:
+-------------+---------+----------------------+---------------+-------------+
| Customer_ID | Call_ID | Days Since Last Call | Repeated Call | Order_Group |
+-------------+---------+----------------------+---------------+-------------+
| 1 | 1 | Null | 0 | 1 |
| 1 | 2 | 45 | 0 | 2 |
| 1 | 3 | 0 | 1 | 2 |
| 1 | 4 | 0 | 1 | 2 |
| 1 | 5 | 0 | 1 | 2 |
| 1 | 6 | 48 | 0 | 3 |
| 1 | 7 | 1 | 1 | 3 |
| 2 | 8 | Null | 0 | 1 |
| 2 | 9 | 1 | 1 | 1 |
+-------------+---------+----------------------+---------------+-------------+
Appreciate your suggestion, thanks!
You can use SUM() window function:
select t.*,
sum(case when Repeated_Call = 0 then 1 else 0 end)
over (partition by Customer_ID order by Call_Id) Order_Group
from tablename t
See the demo (for MySql but it is standard SQL).
Results:
| Customer_ID | Call_ID | Days Since Last Call | Repeated_Call | Order_Group |
| ----------- | ------- | -------------------- | ------------- | ----------- |
| 1 | 1 | | 0 | 1 |
| 1 | 2 | 45 | 0 | 2 |
| 1 | 3 | 0 | 1 | 2 |
| 1 | 4 | 0 | 1 | 2 |
| 1 | 5 | 0 | 1 | 2 |
| 1 | 6 | 48 | 0 | 3 |
| 1 | 7 | 1 | 1 | 3 |
| 2 | 8 | | 0 | 1 |
| 2 | 9 | 1 | 1 | 1 |
You can calculation every 0 value in column Repeated Call (for each customer) using window analytic function COUNT with ROWS UNBOUNDED PRECEDING:
SELECT *,
COUNT(CASE WHEN Repeated Call=0 THEN 1 ELSE NULL END )OVER(PARTITION BY Customer_ID
ORDER BY Call_ID ROWS UNBOUNDED PRECEDING)Order_Gr FROM Table
I am having trouble semi-transposing the table below based on the 'LENGTH' column. I am using an Oracle database, sample data:
+-----------+-----------+--------+------+
| PERSON_ID | PERIOD_ID | LENGTH | FLAG |
+-----------+-----------+--------+------+
| 1 | 1 | 4 | 1 |
| 1 | 2 | 3 | 0 |
| 2 | 1 | 4 | 1 |
+-----------+-----------+--------+------+
I would like to lengthen this table based on the LENGTH row; basically duplicating the row for each value in the LENGTH column.
See the desired output table below:
+-----------+-----------+--------+------+
| PERSON_ID | PERIOD_ID | NUMBER | FLAG |
+-----------+-----------+--------+------+
| 1 | 1 | 1 | 1 |
| 1 | 1 | 2 | 1 |
| 1 | 1 | 3 | 1 |
| 1 | 1 | 4 | 1 |
| 1 | 2 | 1 | 0 |
| 1 | 2 | 2 | 0 |
| 1 | 2 | 3 | 0 |
| 2 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 |
| 2 | 1 | 3 | 1 |
| 2 | 1 | 4 | 1 |
+-----------+-----------+--------+------+
I typically work in Posgres so Oracle is new to me.
I've found some solutions using the connect by statement but they seem overly complicated, particularly when compared to the simple generate_series() command from Posgres.
A recursive CTE subtracting 1 from length until 1 is reached should work. (In Postgres too, BTW, should you need something working cross platform.)
WITH cte (person_id,
period_id,
number_,
flag)
AS
(
SELECT person_id,
period_id,
length number_,
flag
FROM elbat
UNION ALL
SELECT person_id,
period_id,
number_ - 1 number_,
flag
FROM cte
WHERE number_ > 1
)
SELECT *
FROM cte
ORDER BY person_id,
period_id,
number_;
db<>fiddle
Basically, I have a table with all the bus stops of a route with the time_from_start value, that helps to put them in a good order.
CREATE TABLE `api_routestop` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`route_id` int(11) NOT NULL,
`station_id` varchar(10) NOT NULL,
`time_from_start` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `api_routestop_4fe3422a` (`route_id`),
KEY `api_routestop_15e3331d` (`station_id`)
)
I want to return for each stop of a line the time to go to the next stop.
I tried with this QUERY :
SELECT r1.station_id, r2.station_id, r1.route_id, COUNT(*), (r2.time_from_start - r1.time_from_start) as time
FROM api_routestop r1
LEFT JOIN api_routestop r2 ON r1.route_id = r2.route_id AND r1.id <> r2.id
GROUP BY r1.station_id
HAVING time >= 0
ORDER BY r1.route_id, r1.time_from_start, r2.time_from_start
But the group by seams not to work and the result looks like :
+------------+------------+----------+----------+------+
| station_id | station_id | route_id | COUNT(*) | time |
+------------+------------+----------+----------+------+
| Rub01 | Sal01 | 1 | 16 | 1 |
| Lyc02 | Sch02 | 2 | 17 | 2 |
| Paq01 | PoB01 | 3 | 15 | 1 |
| LaT02 | Gco02 | 4 | 16 | 1 |
| Sup01 | Tur01 | 5 | 132 | 1 |
| Oeu02 | CtC02 | 6 | 20 | 2 |
| Ver02 | Elo02 | 7 | 38 | 1 |
| Can01 | Mbo01 | 8 | 70 | 1 |
| Ver01 | Elo01 | 9 | 77 | 1 |
| MCH01 | for02 | 10 | 77 | 1 |
+------------+------------+----------+----------+------+
If I do that :
SELECT r1.station_id, r2.station_id, r1.route_id, COUNT(*), (r2.time_from_start - r1.time_from_start) as time
FROM api_routestop r1
LEFT JOIN api_routestop r2 ON r1.route_id = r2.route_id AND r1.id <> r2.id
GROUP BY r1.station_id, r2.station_id, r1.route_id
HAVING time >= 0
ORDER BY r1.route_id, r1.time_from_start, r2.time_from_start
I am approching :
+------------+------------+----------+----------+------+
| station_id | station_id | route_id | COUNT(*) | time |
+------------+------------+----------+----------+------+
| Rub01 | Sal01 | 1 | 1 | 1 |
| Rub01 | ARM01 | 1 | 1 | 2 |
| Rub01 | MaV01 | 1 | 1 | 4 |
| Rub01 | COl01 | 1 | 1 | 5 |
| Rub01 | Str01 | 1 | 1 | 6 |
| Rub01 | Jau01 | 1 | 1 | 7 |
| Rub01 | Cdp01 | 1 | 1 | 9 |
| Rub01 | Rep01 | 1 | 1 | 11 |
| Rub01 | CoT01 | 1 | 1 | 12 |
| Rub01 | Ctr01 | 1 | 1 | 14 |
| Rub01 | FLy01 | 1 | 1 | 15 |
| Rub01 | Lib01 | 1 | 1 | 17 |
| Rub01 | Bru01 | 1 | 1 | 18 |
| Rub01 | Sch01 | 1 | 1 | 20 |
| Rub01 | Lyc01 | 1 | 1 | 22 |
| Rub01 | Res01 | 1 | 1 | 24 |
| Sal01 | ARM01 | 1 | 1 | 1 |
| Sal01 | MaV01 | 1 | 1 | 3 |
| Sal01 | COl01 | 1 | 1 | 4 |
| Sal01 | Str01 | 1 | 1 | 5 |
| Sal01 | Jau01 | 1 | 1 | 6 |
| Sal01 | Cdp01 | 1 | 1 | 8 |
| Sal01 | Rep01 | 1 | 1 | 10 |
| Sal01 | CoT01 | 1 | 1 | 11 |
| Sal01 | Ctr01 | 1 | 1 | 13 |
| Sal01 | FLy01 | 1 | 1 | 14 |
| Sal01 | Lib01 | 1 | 1 | 16 |
| Sal01 | Bru01 | 1 | 1 | 17 |
| Sal01 | Sch01 | 1 | 1 | 19 |
| Sal01 | Lyc01 | 1 | 1 | 21 |
...
3769 rows in set (0.07 sec)
But what do I have to do to have only the first result for the same r1.station_id and r1.route_id ?
You're getting a lot of results back because your getting every stop joined to every other stop on the same route.
So you'll need to identify the "Next" stop as the stop that has the same route ID but has a minimum time from start later than the current one
Update Added routeId to the next_stop sub query to deal with the case of stations used in multiple routes
SELECT
r1.station_id,
r2.station_id,
r1.route_id,
r2.time_from_start - r1.time_from_start as time
FROM
api_routestop r1
INNER JOIN (SELECT
r1.station_id , r2.route_id, min(r2.time_from_start) next_time_from_start
FROM
api_routestop r1
LEFT JOIN api_routestop r2 ON r1.route_id = r2.route_id AND r1.id <> r2.id
and r2.time_from_start > r1.time_from_start
GROUP BY r1.Station_id, r2.route_id) next_stop
ON r1.Station_id = next_stop.station_id
and r1.route_id = next_stop.route_id
LEFT JOIN api_routestop r2
ON r2.time_from_start = r2.next_time_from_start
and r1.route_id = r2.route_id
AND r2.time_from_start > r1.time_from_start
SELECT station_id, coalesce(
(SELECT time_from_start
FROM api_routestop t2
WHERE t2.time_from_start > t1.time_from_start
AND t2.time_from_start <= (SELECT time_from_start FROM api_routestop t5 WHERE t5.station_id = '4' AND t5.route_id=t1.route_id)
AND t2.route_id = t1.route_id
ORDER BY t2.time_from_start LIMIT 1), time_from_start) - time_from_start AS difference
FROM api_routestop t1
WHERE t1.route_id = 1
AND t1.time_from_start >= (SELECT time_from_start FROM api_routestop t4 WHERE t4.station_id = '2' AND t4.route_id=t1.route_id)
AND t1.time_from_start <= (SELECT time_from_start FROM api_routestop t5 WHERE t5.station_id = '4' AND t5.route_id=t1.route_id)
ORDER BY time_from_start
Are you open to changing the schema? If so simply adding a column containing a sequential integer for all stops on route will make this query a lot easier and more efficient.
Failing that this will do it.
SELECT
station_id,
route_id,
time_from_start,
time_to_next
FROM
(
SELECT
station_id,route_id,time_from_start,
IF( #prev <> route_id, null, #time_from_start-time_from_start ) AS time_to_next,
#time_from_start := time_from_start,
#prev := route_id
FROM api_routestop
JOIN (SELECT #time_from_start := NULL, #prev := 0) AS r
ORDER BY route_id, time_from_start DESC
) t
ORDER BY route_id,time_from_start
I need help with a SQL that will convert this table:
===================
| Id | FK | Status|
===================
| 1 | A | 100 |
| 2 | A | 101 |
| 3 | B | 100 |
| 4 | B | 101 |
| 5 | C | 100 |
| 6 | C | 101 |
| 7 | A | 102 |
| 8 | A | 102 |
| 9 | B | 102 |
| 10 | B | 102 |
===================
to this:
==========================================
| FK | Count 100 | Count 101 | Count 102 |
==========================================
| A | 1 | 1 | 2 |
| B | 1 | 1 | 2 |
| C | 1 | 1 | 0 |
==========================================
I can so simple counts, etc., but am struggling trying to pivot the table with the information derived. Any help is appreciated.
Use:
SELECT t.fk,
SUM(CASE WHEN t.status = 100 THEN 1 ELSE 0 END) AS count_100,
SUM(CASE WHEN t.status = 101 THEN 1 ELSE 0 END) AS count_101,
SUM(CASE WHEN t.status = 102 THEN 1 ELSE 0 END) AS count_102
FROM TABLE t
GROUP BY t.fk
use:
select * from
(select fk,fk as fk1,statusFK from #t
) as t
pivot
(COUNT(fk1) for statusFK IN ([100],[101],[102])
) AS pt
Just adding a shortcut to #OMG's answer.
You can eliminate CASE statement:
SELECT t.fk,
SUM(t.status = 100) AS count_100,
SUM(t.status = 101) AS count_101,
SUM(t.status = 102) AS count_102
FROM TABLE t
GROUP BY t.fk