How to add static values to SQL QUERY Result set in ORACLE - sql

I have a SQL Query that works perfectly. I am using Oracle 11g. The current SQL Query lists upcoming flights for the next 6 months and then list all past flights afterwards. So my query lists all flights for 2018 first and then all old flights after dating back early as 1998. I need to add two static values to this query. The two static values I want to add are "UPCOMING FLIGHTS" and "PAST FLIGHTS" to distinguish which flights are new and old. How can I achieve this? I need to incorporate this added code with the current SQL query that I have below. I have not been able to do this.
Current SQL Query:
SELECT FLIGHT_NMBR, SCHEDULED_LAUNCH_DATE
FROM FLIGHTS
WHERE DATA_VERSION_NAME = 'WORKING'
AND sequence_nmbr >= 0
ORDER BY (CASE WHEN to_date(scheduled_launch_date, 'DD-MON-YY')
BETWEEN add_months(trunc(sysdate, 'MON'), 0)
AND add_months(trunc(sysdate, 'MON'), 6) THEN 1 ELSE 2 END),
(CASE WHEN to_date(scheduled_launch_date, 'DD-MON-YY')
BETWEEN add_months(trunc(sysdate, 'MON'), 0)
AND add_months(trunc(sysdate, 'MON'), 6) THEN SCHEDULED_LAUNCH_DATE END),
sequence_nmbr;
Results of current SQL query above:
FLIGHT_NMBR SCHEDULED
------------ ---------
SpX-14 26-JAN-18
69P 09-FEB-18
SpX-DM1 09-MAR-18
54S 13-MAR-18
OA-9 14-MAR-18
55S 29-APR-18
SpX-15 06-JUN-18
SpX-DM2 22-JUN-18
70P 27-JUN-18
1A/R 20-NOV-98
2A 04-DEC-98
How can I achieve the desired result set below:
FLIGHT_NMBR SCHEDULED
------------ ---------
UPCOMING FLIHGTS-------------------------------STATIC VALUE I WANT TO ADD
SpX-14 26-JAN-18
69P 09-FEB-18
SpX-DM1 09-MAR-18
54S 13-MAR-18
OA-9 14-MAR-18
55S 29-APR-18
SpX-15 06-JUN-18
SpX-DM2 22-JUN-18
70P 27-JUN-18
PAST FLIGHTS-----------------------------------STATIC VALUE I WANT TO ADD
1A/R 20-NOV-98
2A 04-DEC-98
Want my dropdown to look like this:

you can do it this way,
SELECT 'UPCOMING FLIHGTS' text, NULL sched
FROM dual
UNION ALL
<your select query for upcoming flights>
UNION ALL
SELECT 'PAST FLIGHTS' text, NULL sched
FROM dual
UNION ALL
<your select query for past flights>

What you want to do should be done at the application level. A SQL query returns a result set, which is a table -- consisting of rows with identical columns. Your new rows are not in the same format.
You can simplify the logic and include the flag on each row;
SELECT which, FLIGHT_NMBR, SCHEDULED_LAUNCH_DATE
FROM (SELECT F.*,
(CASE WHEN to_date(scheduled_launch_date, 'DD-MON-YY') BETWEEN add_months(trunc(sysdate, 'MON'), 0) AND add_months(trunc(sysdate, 'MON'), 6)
THEN 'UPCOMING' ELSE 'PAST'
END) as which
FROM FLIGHTS F
) F
WHERE DATA_VERSION_NAME = 'WORKING' AND sequence_nmbr >= 0
ORDER BY (CASE WHEN which = 'UPCOMING' THEN 1 ELSE 2 END),
(CASE WHEN which = 'UPCOMING' THEN SCHEDULED_LAUNCH_DATE END),
sequence_nmbr;

Related

substituting "filter" in a sql query on oracle

We have a table with data that has one date column indicating what day the data is for ("planning_day") and another column for logging when the data was sent ("first_sent_time").
I'm trying to make a report showing how far in the past/future we've sent data on which day. So if today we sent 2 data for yesterday, 5 for today and 1 for the day after tomorrow, the result should be something like this:
sent_day minus2 minus1 sameDay plus1 plus2
2021-11-24 0 2 5 0 1
...
I know I could do this in postgres with a query using "filter":
select
trunc(t.first_sent_time),
count(t.id) filter (where e.planning_day - trunc(e.first_sent_time) = -2) as "minus2",
count(t.id) filter (where e.planning_day - trunc(e.first_sent_time) = -1) as "minus1",
count(t.id) filter (where e.planning_day - trunc(e.first_sent_time) = 0) as "sameDay",
count(t.id) filter (where e.planning_day - trunc(e.first_sent_time) = 1) as "plus1",
count(t.id) filter (where e.planning_day - trunc(e.first_sent_time) = 2) as "plus2"
from
my_table t
group by
trunc(t.first_sent_time)
;
Unfortunately, this "filter" doesn't exist in Oracle. I need help here. I tried something like following:
select
sent_day,
sum(minus2),
sum(minus1),
sum(sameDay),
sum(plus1),
sum(plus2)
from (
select
*
from (
select
b.id,
trunc(b.first_sent_time) as sent_day,
b.planning_day,
b.planning_day - trunc(b.first_sent_time) as day_diff
from
my_table b
where
b.first_sent_time >= DATE '2021-11-01'
)
pivot (
count(id) for day_diff in (-2 as "minus2",-1 as "minus1",0 as "sameDay", 1 as "plus1",2 as "plus2")
)
)
group by
sent_day
order by
sent_day
;
but it doesn't work and it feels like I'm going too complicated and there must be an easier solution.
Use a CASEexpression within the aggregation function to simulate the filter.
Here a simplified example
with dt as (
select 1 id , 1 diff_days from dual union all
select 2 id , 1 diff_days from dual union all
select 3 id , -1 diff_days from dual union all
select 4 id , -1 diff_days from dual union all
select 4 id , -1 diff_days from dual)
/* query */
select
count(case when diff_days = 1 then id end) as cnt_1,
count(case when diff_days = -1 then id end) as cnt_minus_1
from dt;
results in
CNT_1 CNT_MINUS_1
---------- -----------
2 3

Oracle/SQL -Sales broken out by Months

Hello I have created the following query to pull total order by month for a salesMen. while this gets me the data I need for a single salesmen i need to run this for more than just one. what I would like to accomplish is a query that pull for several different salesmen and is broken out by month and the Months being the Columns names(Columns dynamic to months being pulled). Like below.
SalesMen - 10-2017 - 11-2017 - 12-2017 - 01/2018
------------------------------------------------------------
Salesmen_1 Month_total(5) 15 300 100
Salesmen_2 100 948 821 684
Current Code:
select (case when region_code in ('123','124') then 'SalesMen_1' else 'N/A' end)SalesMen, to_char(DATE_ENTERED, 'MM-YYYY') as MM_YYYY, Count(ORder_NO) as Month_Total
from ORDERS
where
REGEXP_like (ORder_NO, '^W|^E')
and DATE_ENTERED between ADD_MONTHS(TO_DATE(TO_CHAR(ADD_MONTHS(SYSDATE, 2), 'YYYY') || '-01-01', 'YYYY-MM-DD'), -3) and TO_DATE(TO_CHAR(SYSDATE, 'YYYY-MM')|| '-01', 'YYYY-MM-DD') - 1
and region_code in ('123','124')
group by to_char(DATE_ENTERED, 'MM-YYYY'),(case when region_code in ('123','124') then 'SalesMen_1' else 'N/A' end)
order by to_char(DATE_ENTERED, 'MM-YYYY') desc
Results:
Current Results Example

Datetime SQL statement (Working in SQL Developer)

I'm new to the SQL scene but I've started to gather some data that makes sense to me after learning a little about SQL Developer. Although, I do need help with a query.
My goal:
To use the current criteria I have and select records only when the date-time value is within 5 minutes of the latest date-time. Here is my current sql statement
`SELECT ABAMS.T_WORKORDER_HIST.LINE_NO AS Line,
ABAMS.T_WORKORDER_HIST.STATE AS State,
ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO_EXT,
ASMBLYTST.V_SEQ_SERIAL_ALL.UPD_REASON_CODE,
ABAMS.V_SERIAL_LINESET.LINESET_DATE AS "Lineset Time",
ABAMS.T_WORKORDER_HIST.SERIAL_NO AS ESN,
ABAMS.T_WORKORDER_HIST.ITEM_NO AS "Shop Order",
ABAMS.T_WORKORDER_HIST.CUST_NAME AS Customer,
ABAMS.T_ITEM_POLICY.PL_LOC_DROP_ZONE_NO AS PLDZ,
ABAMS.T_WORKORDER_HIST.CONFIG_NO AS Configuration,
ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN AS "Last Sta",
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_LOC,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_MES_LOC,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_TIME,
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_MES_TIME
FROM ABAMS.T_WORKORDER_HIST
LEFT JOIN ABAMS.V_SERIAL_LINESET
ON ABAMS.V_SERIAL_LINESET.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ASMBLYTST.V_EDP_ENG_LAST_ABSN
ON ASMBLYTST.V_EDP_ENG_LAST_ABSN.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ASMBLYTST.V_SEQ_SERIAL_ALL
ON ASMBLYTST.V_SEQ_SERIAL_ALL.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
LEFT JOIN ABAMS.T_ITEM_POLICY
ON ABAMS.T_ITEM_POLICY.ITEM_NO = ABAMS.T_WORKORDER_HIST.ITEM_NO
LEFT JOIN ABAMS.T_CUR_STATUS
ON ABAMS.T_CUR_STATUS.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
INNER JOIN ASMBLYTST.V_LAST_ENG_LOCATION
ON ASMBLYTST.V_LAST_ENG_LOCATION.SERIAL_NO = ABAMS.T_WORKORDER_HIST.SERIAL_NO
WHERE ABAMS.T_WORKORDER_HIST.LINE_NO = 10
AND (ABAMS.T_WORKORDER_HIST.STATE = 'PROD'
OR ABAMS.T_WORKORDER_HIST.STATE = 'SCHED')
AND ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE BETWEEN TRUNC(SysDate) - 10 AND TRUNC(SysDate) + 1
AND (ABAMS.V_SERIAL_LINESET.LINESET_DATE IS NOT NULL
OR ABAMS.V_SERIAL_LINESET.LINESET_DATE IS NULL)
AND (ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN < '1800'
OR ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN IS NULL)
ORDER BY ASMBLYTST.V_EDP_ENG_LAST_ABSN.LAST_ASMBLY_ABSN DESC Nulls Last,
ABAMS.V_SERIAL_LINESET.LINESET_DATE Nulls Last,
ASMBLYTST.V_SEQ_SERIAL_ALL.BUILD_DATE,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO,
ASMBLYTST.V_SEQ_SERIAL_ALL.SEQ_NO_EXT`
Here are some of the records I get from the table
ASMBLYTST.V_LAST_ENG_LOCATION.LAST_ASMBLY_TIME
2018-06-14 01:28:25
2018-06-14 01:29:26
2018-06-14 01:27:30
2018-06-13 22:44:03
2018-06-14 01:28:45
2018-06-14 01:27:37
2018-06-14 01:27:41
What I essentially want is for
2018-06-13 22:44:03
to be excluded from the query because it is not within the 5 minute window from the latest record Which in this data set is
2018-06-14 01:29:26
The one dynamic problem i seem to have is that the values for date-time are constantly updating.
Any ideas?
Thank you!
Here are two different solutions, each uses a table called "ASET".
ASET contains 20 records 1 minute apart:
WITH
aset (ttime, cnt)
AS
(SELECT systimestamp AS ttime, 1 AS cnt
FROM DUAL
UNION ALL
SELECT ttime + INTERVAL '1' MINUTE AS ttime, cnt + 1 AS cnt
FROM aset
WHERE cnt < 20)
select * from aset;
Now using ASET for our data, the following query finds the maximum date in ASET, and restricts the results to the six records within 5 minutes of ASET:
SELECT *
FROM aset
WHERE ttime >= (SELECT MAX (ttime)
FROM aset)
- INTERVAL '5' MINUTE;
An alternative is to use an analytic function:
with bset
AS
(SELECT ttime, cnt, MAX (ttime) OVER () - ttime AS delta
FROM aset)
SELECT *
FROM bset
WHERE delta <= INTERVAL '5' MINUTE

List all months with a total regardless of null

I have a very small SQL table that lists courses attended and the date of attendance. I can use the code below to count the attendees for each month
select to_char(DATE_ATTENDED,'YYYY/MM'),
COUNT (*)
FROM TRAINING_COURSE_ATTENDED
WHERE COURSE_ATTENDED = 'Fire Safety'
GROUP BY to_char(DATE_ATTENDED,'YYYY/MM')
ORDER BY to_char(DATE_ATTENDED,'YYYY/MM')
This returns a list as expected for each month that has attendees. However I would like to list it as
January 2
February 0
March 5
How do I show the count results along with the nulls? My table is very basic
1234 01-JAN-15 Fire Safety
108 01-JAN-15 Fire Safety
1443 02-DEC-15 Healthcare
1388 03-FEB-15 Emergency
1355 06-MAR-15 Fire Safety
1322 09-SEP-15 Fire Safety
1234 11-DEC-15 Fire Safety
I just need to display each month and the total attendees for Fire Safety only. Not used SQL developer for a while so any help appreciated.
You would need a calendar table to select a period you want to display. Simplified code would look like this:
select to_char(c.Date_dt,'YYYY/MM')
, COUNT (*)
FROM calendar as c
left join TRAINING_COURSE_ATTENDED as tca
on tca.DATE_ATTENDED = c.Date_dt
WHERE tca.COURSE_ATTENDED = 'Fire Safety'
and c.Date_dt between [period_start_dt] and [period_end_dt]
GROUP BY to_char(c.Date_dt,'YYYY/MM')
ORDER BY to_char(c.Date_dt,'YYYY/MM')
You can create your own set required year month's on-fly with 0 count and use query as below.
Select yrmth,sum(counter) from
(
select to_char(date_attended,'YYYYMM') yrmth,
COUNT (1) counter
From TRAINING_COURSE_ATTENDED Where COURSE_ATTENDED = 'Fire Safety'
Group By Y to_char(date_attended,'YYYYMM')
Union All
Select To_Char(2015||Lpad(Rownum,2,0)),0 from Dual Connect By Rownum <= 12
)
group by yrmth
order by 1
If you want to show multiple year's, just change the 2nd query to
Select To_Char(Year||Lpad(Month,2,0)) , 0
From
(select Rownum Month from Dual Connect By Rownum <= 12),
(select 2015+Rownum-1 Year from Dual Connect By Rownum <= 3)
Try this :
SELECT Trunc(date_attended, 'MM') Month,
Sum(CASE
WHEN course_attended = 'Fire Safety' THEN 1
ELSE 0
END) Fire_Safety
FROM training_course_attended
GROUP BY Trunc(date_attended, 'MM')
ORDER BY Trunc(date_attended, 'MM')
Another way to generate a calendar table inline:
with calendar (month_start, month_end) as
( select add_months(date '2014-12-01', rownum)
, add_months(date '2014-12-01', rownum +1) - interval '1' second
from dual
connect by rownum <= 12 )
select to_char(c.month_start,'YYYY/MM') as course_month
, count(tca.course_attended) as attended
from calendar c
left join training_course_attended tca
on tca.date_attended between c.month_start and c.month_end
and tca.course_attended = 'Fire Safety'
group by to_char(c.month_start,'YYYY/MM')
order by 1;
(You could also have only the month start in the calendar table, and join on trunc(tca.date_attended,'MONTH') = c.month_start, though if you had indexes or partitioning on tca.date_attended that might be less efficient.)

SQL: grouping by number of entries and entry date

I have the following table log:
event_time | name |
-------------------------
2014-07-16 11:40 Bob
2014-07-16 10:00 John
2014-07-16 09:20 Bob
2014-07-16 08:20 Bob
2014-07-15 11:20 Bob
2014-07-15 10:20 John
2014-07-15 09:00 Bob
I would like to generate a report, where I can group data by number of entries per day and by entry day. So the resulting report for the table above would be something like this:
event_date | 0-2 | 3 | 4-99 |
-------------------------------
2014-07-16 1 1 0
2014-07-15 2 0 0
I use the following approached to solve it:
Select with grouping in range
How to select the count of values grouped by ranges
If I find answer before anybody post it here, I will share it.
Added
I would like to count a number of daily entries for each name. Then I check to which column this value belongs to, and the I add 1 to that column.
I took it in two steps. Inner query gets the base counts. The outer query uses case statements to sum counts.
SQL Fiddle Example
select event_date,
sum(case when cnt between 0 and 2 then 1 else 0 end) as "0-2",
sum(case when cnt = 3 then 1 else 0 end) as "3",
sum(case when cnt between 4 and 99 then 1 else 0 end) as "4-99"
from
(select cast(event_time as date) as event_date,
name,
count(1) as cnt
from log
group by cast(event_time as date), name) baseCnt
group by event_date
order by event_date
try like this
select da,sum(case when c<3 then 1 else 0 end) as "0-2",
sum(case when c=3 then 1 else 0 end) as "3",
sum(case when c>3 then 1 else 0 end) as "4-66" from (
select cast(event_time as date) as da,count(*) as c from
table1 group by cast(event_time as date),name) as aa group by da
First aggregate in two steps:
SELECT day, CASE
WHEN ct < 3 THEN '0-2'
WHEN ct > 3 THEN '4_or_more'
ELSE '3'
END AS cat
,count(*)::int AS val
FROM (
SELECT event_time::date AS day, count(*) AS ct
FROM tbl
GROUP BY 1
) sub
GROUP BY 1,2
ORDER BY 1,2;
Names should be completely irrelevant according to your description.
Then take the query and run it through crosstab():
SELECT *
FROM crosstab(
$$SELECT day, CASE
WHEN ct < 3 THEN '0-2'
WHEN ct > 3 THEN '4_or_more'
ELSE '3'
END AS cat
,count(*)::int AS val
FROM (
SELECT event_time::date AS day, count(*) AS ct
FROM tbl
GROUP BY 1
) sub
GROUP BY 1,2
ORDER BY 1,2$$
,$$VALUES ('0-2'::text), ('3'), ('4_or_more')$$
) AS f (day date, "0-2" int, "3" int, "4_or_more" int);
crosstab() is supplied by the additional module tablefunc. Details and instructions in this related answer:
PostgreSQL Crosstab Query
This is a variation on a PIVOT query (although PostgreSQL supports this via the crosstab(...) table functions). The existing answers cover the basic technique, I just prefer to construct queries without the use of CASE, where possible.
To get started, we need a couple of things. The first is essentially a Calendar Table, or entries from one (if you don't already have one, they're among the most useful dimension tables). If you don't have one, the entries for the specified dates can easily be generated:
WITH Calendar_Range AS (SELECT startOfDay, startOfDay + INTERVAL '1 DAY' AS nextDay
FROM GENERATE_SERIES(CAST('2014-07-01' AS DATE),
CAST('2014-08-01' AS DATE),
INTERVAL '1 DAY') AS dr(startOfDay))
SQL Fiddle Demo
This is primarily used to create the first step in the double aggregate, like so:
SELECT Calendar_Range.startOfDay, COUNT(Log.name)
FROM Calendar_Range
LEFT JOIN Log
ON Log.event_time >= Calendar_Range.startOfDay
AND Log.event_time < Calendar_Range.nextDay
GROUP BY Calendar_Range.startOfDay, Log.name
SQL Fiddle Demo
Remember that most aggregate columns with a nullable expression (here, COUNT(Log.name)) will ignore null values (not count them). This is also one of the few times it's acceptable to not include a grouped-by column in the SELECT list (normally it makes the results ambiguous). For the actual queries I'll put this into a subquery, but it would also work as a CTE.
We also need a way to construct our COUNT ranges. That's pretty easy too:
Count_Range AS (SELECT text, start, LEAD(start) OVER(ORDER BY start) as next
FROM (VALUES('0 - 2', 0),
('3', 3),
('4+', 4)) e(text, start))
SQL Fiddle Demo
We'll be querying these as "exclusive upper-bound" as well.
We now have all the pieces we need to do the query. We can actually use these virtual tables to make queries in both veins of the current answers.
First, the SUM(CASE...) style.
For this query, we'll take advantage of the null-ignoring qualities of aggregate functions again:
WITH Calendar_Range AS (SELECT startOfDay, startOfDay + INTERVAL '1 DAY' AS nextDay
FROM GENERATE_SERIES(CAST('2014-07-14' AS DATE),
CAST('2014-07-17' AS DATE),
INTERVAL '1 DAY') AS dr(startOfDay)),
Count_Range AS (SELECT text, start, LEAD(start) OVER(ORDER BY start) as next
FROM (VALUES('0 - 2', 0),
('3', 3),
('4+', 4)) e(text, start))
SELECT startOfDay,
COUNT(Zero_To_Two.text) AS Zero_To_Two,
COUNT(Three.text) AS Three,
COUNT(Four_And_Up.text) AS Four_And_Up
FROM (SELECT Calendar_Range.startOfDay, COUNT(Log.name) AS count
FROM Calendar_Range
LEFT JOIN Log
ON Log.event_time >= Calendar_Range.startOfDay
AND Log.event_time < Calendar_Range.nextDay
GROUP BY Calendar_Range.startOfDay, Log.name) Entry_Count
LEFT JOIN Count_Range Zero_To_Two
ON Zero_To_Two.text = '0 - 2'
AND Entry_Count.count >= Zero_To_Two.start
AND Entry_Count.count < Zero_To_Two.next
LEFT JOIN Count_Range Three
ON Three.text = '3'
AND Entry_Count.count >= Three.start
AND Entry_Count.count < Three.next
LEFT JOIN Count_Range Four_And_Up
ON Four_And_Up.text = '4+'
AND Entry_Count.count >= Four_And_Up.start
GROUP BY startOfDay
ORDER BY startOfDay
SQL Fiddle Example
The other option is of course the crosstab query, where the CASE was being used to segment the results. We'll use the Count_Range table to decode the values for us:
SELECT startOfDay, "0 -2", "3", "4+"
FROM CROSSTAB($$WITH Calendar_Range AS (SELECT startOfDay, startOfDay + INTERVAL '1 DAY' AS nextDay
FROM GENERATE_SERIES(CAST('2014-07-14' AS DATE),
CAST('2014-07-17' AS DATE),
INTERVAL '1 DAY') AS dr(startOfDay)),
Count_Range AS (SELECT text, start, LEAD(start) OVER(ORDER BY start) as next
FROM (VALUES('0 - 2', 0),
('3', 3),
('4+', 4)) e(text, start))
SELECT Calendar_Range.startOfDay, Count_Range.text, COUNT(*) AS count
FROM (SELECT Calendar_Range.startOfDay, COUNT(Log.name) AS count
FROM Calendar_Range
LEFT JOIN Log
ON Log.event_time >= Calendar_Range.startOfDay
AND Log.event_time < Calendar_Range.nextDay
GROUP BY Calendar_Range.startOfDay, Log.name) Entry_Count
JOIN Count_Range
ON Entry_Count.count >= Count_Range.start
AND (Entry_Count.count < Count_Range.end OR Count_Range.end IS NULL)
GROUP BY Calendar_Range.startOfDay, Count_Range.text
ORDER BY Calendar_Range.startOfDay, Count_Range.text$$,
$$VALUES('0 - 2', '3', '4+')$$) Data(startOfDay DATE, "0 - 2" INT, "3" INT, "4+" INT)
(I believe this is correct, but don't have a way to test it - Fiddle doesn't seem to have the crosstab functionality loaded. In particular, CTEs probably must go inside the function itself, but I'm not sure....)