I have a scenario where the current column value is calculated based on the previous value calculated by the formula
The initial row of the group has no previous value so it will not consider.
Formula for loss= relase-withdraw-least(previous_row_loss,reverse)
Here below loss is the column I need to calculate.
I tried with the following query but not getting expected output. Can you please guide me here.
SELECT
pid,release,withdraw,reverse,
SUM(release - withdraw - LEAST( LAG(loss,1,0) OVER (ORDER BY pid)),reverse)) as loss
FROM transactions
You can use a MODEL clause:
SELECT *
FROM (
SELECT t.*,
ROW_NUMBER() OVER (ORDER BY pid, fiscalperiod) AS rn
FROM table_name t
)
MODEL
DIMENSION BY (rn)
MEASURES (pid, fiscalperiod, release, withdraw, reverse, 0 AS loss)
RULES (
loss[1] = release[1] - withdraw[1] - reverse[1],
loss[rn>1] = release[cv()] - withdraw[cv()] - LEAST(reverse[cv()], loss[cv()-1])
+ loss[cv()-1]
);
Or, probably, much less efficiently a recursive query:
WITH numbered_rows AS (
SELECT t.*,
ROW_NUMBER() OVER (ORDER BY pid, fiscalperiod) AS rn
FROM table_name t
),
recursive_query (rn, pid, fiscalperiod, release, withdraw, reverse, loss) AS (
SELECT rn,
pid,
fiscalperiod,
release,
withdraw,
reverse,
release - withdraw - reverse
FROM numbered_rows
WHERE rn = 1
UNION ALL
SELECT n.rn,
n.pid,
n.fiscalperiod,
n.release,
n.withdraw,
n.reverse,
n.release - n.withdraw + GREATEST(r.loss - n.reverse, 0)
FROM numbered_rows n
INNER JOIN recursive_query r
ON (n.rn = r.rn + 1)
)
SELECT *
FROM recursive_query;
Which, for your sample data:
CREATE TABLE table_name (pid, fiscalperiod, release, withdraw, reverse) AS
SELECT 'A1', 2022001, 10, 10, 10 FROM DUAL UNION ALL
SELECT 'A1', 2022002, 20, 13, 2 FROM DUAL UNION ALL
SELECT 'A1', 2022003, 20, 20, 10 FROM DUAL UNION ALL
SELECT 'A2', 2022002, 15, 10, 13 FROM DUAL;
Both output:
RN
PID
FISCALPERIOD
RELEASE
WITHDRAW
REVERSE
LOSS
1
A1
2022001
10
10
10
-10
2
A1
2022002
20
13
2
7
3
A1
2022003
20
20
10
0
4
A2
2022002
15
10
13
5
db<>fiddle here
I have a table like this:
time length name
00:01:00 2 a
00:11:22 2 a
01:01:00 45 a
00:23:00 3 b
and I want to retrieve data from the table in the form:
a b
time length time length
00:01:00 2 00:23:00 3
00:11:22 2
01:01:00 2
so it is a simple task of rearranging data, atm I am doing this in a bash script, but I wonder if there is an easy way to do it in Oracle?
You can use analytical function ROW_NUMBER and full outer join as follows:
WITH CTE1 AS
(SELECT T.*, ROW_NUMBER() OVER (ORDER BY LENGTH, TIME) AS RN FROM YOUR_TABLE T WHERE NAME = 'a'),
CTE2 AS
(SELECT T.*, ROW_NUMBER() OVER (ORDER BY LENGTH, TIME) AS RN FROM YOUR_TABLE T WHERE NAME = 'b')
SELECT A.TIME, A.LENGTH, B.TIME, B.LENGTH
FROM CTE1 A FULL OUTER JOIN CTE2 B
ON A.RN = B.RN
Note: You need to use proper order by to order the records as per your requirement. I have used LENGTH, TIME
You can use a multi-column pivot, by adding an extra column that links the related A and B values; presumably by time order, something like:
select time_col, length_col, name_col,
dense_rank() over (partition by name_col order by time_col) as rnk
from your_table;
TIME_COL LENGTH_COL N RNK
-------- ---------- - ----------
00:01:00 2 a 1
00:11:22 2 a 2
01:01:00 45 a 3
00:23:00 3 b 1
and then pivot based on that:
select *
from (
select time_col, length_col, name_col,
dense_rank() over (partition by name_col order by time_col) as rnk
from your_table
)
pivot (
max(time_col) as time_col, max(length_col) as length_col
for name_col in ('a' as a, 'b' as b)
);
RNK A_TIME_C A_LENGTH_COL B_TIME_C B_LENGTH_COL
---------- -------- ------------ -------- ------------
1 00:01:00 2 00:23:00 3
2 00:11:22 2
3 01:01:00 45
I've left the rnk value in the output; if you don't want that you can list the columns in the select list:
select a_time_col, a_length_col, b_time_col, b_length_col
from ...
Or you could do the same thing with conditional aggregation (which is what pivot uses under the hood anyway):
select
max(case when name_col = 'a' then time_col end) as time_col_a,
max(case when name_col = 'a' then length_col end) as length_col_a,
max(case when name_col = 'b' then time_col end) as time_col_b,
max(case when name_col = 'b' then length_col end) as length_col_b
from (
select time_col, length_col, name_col,
dense_rank() over (partition by name_col order by time_col) as rnk
from your_table
)
group by rnk
order by rnk;
TIME_COL LENGTH_COL_A TIME_COL LENGTH_COL_B
-------- ------------ -------- ------------
00:01:00 2 00:23:00 3
00:11:22 2
01:01:00 45
db<>fiddle
I've got some help turning my table of the sort:
Col
23
25
15
53
...
into something like 23,25,15,53...
The query that does it is
SELECT max(ltrim(sys_connect_by_path(flow_run_id, ','), ','))
FROM
(select flow_run_id, rownum rn
from table
where CREATED_DATE < sysdate - 32
and flow_id = 3
order by 1 desc)
START WITH rn = 1
CONNECT BY PRIOR rn = rn - 1
(this beaulty was given by Michael in here)
My current problem is that the result is too long (ORA-01489 over the 4k chars from varchar2). I'm still learning about these sys_connected_by_path so I'd need some help sorting this. How could I make this query return me multiple rows instead of one super long line? i.e.:
Instead of
419,1,2,3,411,418,4,415,887,413,414,201,888,890,401,417,610,412,416,5,6,922,1080,1422,1423,1411,1412,1413,1414,1415,1416,1417,1418,1419,1964,2217,1636,2037,1988,1970,2038,1989,2000,2040,1993,2043,1994,2001,2044,1658,1995,2045,2224,1996,2019,1678,1997,2022,2201,1680,2219,2024,2207,1677,2209,2220,1959,2211,1961,2026,2212,1962,2028,2215,1675,1676,2035,2216,1986,1963,2017,1983,1935,2002,2018,1985,1936,2003,2020,2032,1937,2004,2021,2033,1938,1943,2023,2034,1939,1944,2025,2225,1941,1950,2027,2036,1942,1955,2029,2041,1945,1956,2030,2227,1946,1957,2031,2039,1947,2005,1974,2042,1948,2006,1976,2228,1949,2007,1978,1951,2009,1979,1929,1952,2012,1980,1931,1953,2013,1981,1933,1954,2015,2334,2350,2311,2239,2240,2241,2242,2245,2246,2249,2250,2336,2312,2008,2010,2011,2014,2251,2253,2016,2243,2244,2247,2351,2248,(...)
get
419,1,2,3,411,418,4,415,887,413,414,201,888,890,401,417,610,412,416,5,6,922,1080
1423,1411,1412,1413,1414,1415,1416,1417,1418,1419,1964,2217,1636,2037,1988,1970,2038
2000,2040,1993,2043,1994,2001,2044,1658,1995,2045,2224,1996,2019,1678,1997,2022,2201
(...)
Any tips?
Thanks!
f.
the following query will cut your big string in parts:
SQL> SELECT root_rn, MAX(concat)
2 FROM (SELECT connect_by_root(rn) root_rn,
3 ltrim(sys_connect_by_path(flow_run_id, ','), ',') concat
4 FROM (SELECT flow_run_id, rownum rn
5 FROM (SELECT round(dbms_random.VALUE(1, 10000))
6 AS flow_run_id
7 FROM dual
8 CONNECT BY ROWNUM <= 2000)
9 ORDER BY 1 DESC)
10 START WITH MOD(rn, 10) = 1
11 CONNECT BY PRIOR rn = rn - 1
12 AND MOD(rn, 10) != 1)
13 GROUP BY root_rn
14 ORDER BY root_rn;
ROOT_RN MAX(CONCAT)
---------- -------------------------------------------------------------------
1 654,6710,5297,5481,5085,2793,7646,9170,1051,2387
11 1882,8285,5430,4928,267,3779,3843,1151,3085,1446
21 4721,6087,6755,9904,805,2776,4633,2772,7785,5818
31 5189,5307,6481,2099,3832,9788,5970,8068,6605,3904
41 53,7013,1314,7717,9320,7069,907,5367,5013,7637
51 3903,2318,2611,7954,5751,5598,6148,6555,9724,984
[...]
You can replace "10" with a bigger number if you want more elements on each row.
Some little modifications to keep order
SELECT 10*frn+1 root,ltrim(sys_connect_by_path(flow_run_id,','),',') FROM
(SELECT flow_run_id,mod(rn,10) mrn,floor(rn/10) frn,count(*)over(partition by floor(rn/10))-1 crn FROM
(SELECT flow_run_id, row_number()over(order by flow_run_id)-1 rn FROM
(SELECT round(dbms_random.VALUE(1, 10000)) AS flow_run_id FROM dual CONNECT BY ROWNUM <= 2000
)
)
)
WHERE crn = mrn
START WITH mrn = 0
CONNECT BY PRIOR mrn = mrn-1 AND PRIOR frn = frn