I have the following result, which is easily calculated in Excel, but how to do it in Oracle, the result is the following, based on a previous select and comes from one column,
Result from select Expected result
1.62590
0.60989 0.991620151
0.83859 0.831562742
the result is based on 1.62590 * 0.60989 = 0.991620151,
1.62590 * 0.60989 * 0.83859 = 0.831562742
You can use:
SELECT id,
result,
EXP(SUM(LN(result)) OVER (ORDER BY id)) AS expected
FROM table_name;
Note: Use any other column instead of id to give the appropriate ordering or, if your rows are already ordered, use the ROWNUM pseudo-column instad of id.
Which, for the sample data:
CREATE TABLE table_name (id, Result) AS
SELECT 1, 1.62590 FROM DUAL UNION ALL
SELECT 2, 0.60989 FROM DUAL UNION ALL
SELECT 3, 0.83859 FROM DUAL;
Outputs:
ID
RESULT
EXPECTED
1
1.6259
1.62590000000000000000000000000000000001
2
.60989
.9916201510000000000000000000000000000026
3
.83859
.8315627424270900000000000000000000000085
fiddle
One option is to use a recursive CTE; it, though, expects that sample data can be sorted, somehow, so I added the ID column which starts with 1, while other values are incremented by 1:
Sample data:
SQL> with
2 test (id, col) as
3 (select 1, 1.62590 from dual union all
4 select 2, 0.60989 from dual union all
5 select 3, 0.83859 from dual
6 ),
Query begins here:
7 product (id, col, prod) as
8 (select id, col, col
9 from test
10 where id = 1
11 union all
12 select t.id, t.col, t.col * p.prod
13 from test t join product p on p.id + 1 = t.id
14 )
15 select id,
16 round(prod, 10) result
17 from product;
ID RESULT
---------- ----------
1 1,6259
2 ,991620151
3 ,831562742
SQL>
You can use a MODEL clause:
SELECT *
FROM (SELECT ROW_NUMBER() OVER (ORDER BY id) AS rn, result FROM table_name)
MODEL
DIMENSION BY (rn)
MEASURES ( result, 0 AS expected)
RULES (
expected[rn] = result[cv()] * COALESCE(expected[cv()-1], 1)
)
order by rn;
Which, for the sample data:
CREATE TABLE table_name (id, Result) AS
SELECT 1, 1.62590 FROM DUAL UNION ALL
SELECT 2, 0.60989 FROM DUAL UNION ALL
SELECT 3, 0.83859 FROM DUAL;
Outputs:
RN
RESULT
EXPECTED
1
1.6259
1.6259
2
.60989
.991620151
3
.83859
.83156274242709
fiddle
Related
I am new to oracle thus this question.
There is a table already existed and I have added a new column to it.
There are 5 rows and I do not want to use update table with where clause to insert the values one by one in the new column. Is there a statement like INSERT ALL to insert the values into the new column in one shot ?
Thanks
You can also use something like below which in-effect I would say is multiple update only, wrapped in single statement.
SQL> select * from test_upd;
ID1 ID2
---------- ----------
1
2
3
4
SQL> update test_upd a set a.id2 =
2 (select
3 case
4 when id1=1 then 100
5 when id1=2 then 200
6 when id1=3 then 300
7 else 5000 end
8 from test_upd b
9 where a.id1=b.id1);
4 rows updated.
SQL> select * from test_upd;
ID1 ID2
---------- ----------
1 100
2 200
3 300
4 5000
Use a MERGE statement:
MERGE INTO your_table dst
USING (
SELECT 1 AS id, 'aaa' AS newvalue FROM DUAL UNION ALL
SELECT 2, 'bbb' FROM DUAL UNION ALL
SELECT 3, 'ccc' FROM DUAL UNION ALL
SELECT 4, 'ddd' FROM DUAL UNION ALL
SELECT 5, 'eee' FROM DUAL
) src
ON (dst.id = src.id)
WHEN MATCHED THEN
UPDATE SET value = src.newvalue;
Which, if you have the table:
CREATE TABLE your_table (id, value) AS
SELECT 1, CAST(NULL AS VARCHAR2(3)) FROM DUAL UNION ALL
SELECT 2, NULL FROM DUAL UNION ALL
SELECT 3, NULL FROM DUAL UNION ALL
SELECT 4, NULL FROM DUAL UNION ALL
SELECT 5, NULL FROM DUAL;
Then, after the MERGE, the table contains:
ID
VALUE
1
aaa
2
bbb
3
ccc
4
ddd
5
eee
db<>fiddle here
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 am using Oracle 11.
I have 2 tables
TblA with columns id, entity_id and effective_date.
TblADetail with columns id and value.
If Value = 0 for the effective date, I want to keep looking for the next effective date until I found value <> 0 anymore.
The below query only look for value on 3/10/21.
If value = 0, I want to look for value on 3/11/21. If that's not 0, I want to stop.
But, if that's 0, I want to look for value on 3/12/21. If that's not 0, I want to stop.
But, if that's 0, I want to keep looking until value is not 0.
How can I do that ?
SELECT SUM(pd.VALUE)
FROM TblA p,TblADetail pd
WHERE p.id = pd.id
AND p.effective_date = to_date('03/10/2021','MM/DD/YYYY')
AND TRIM (p.entity_id) = 123
Sample data:
TblA
id entity_id effective_date
1 123 3/10/21
2 123 3/11/21
3 123 3/12/21
TblADetail
id value
1 -136
1 136
2 2000
3 3000
In the above data, for entity_id 123, starting from effective_date 3/10/21, I would like to to return value 2000 (from TblADetail) effective_date 3/11/21.
So, starting from a certain date, I want the results from the minimum date that has non-zero values.
Thank you.
You can do what you need to do by grouping the sum on the effective date, and using the MIN analytic function to find the earliest date. Once you've done that, you simply need to select the date that matches the earliest date.
E.g.:
with tbla as (select 1 id, ' 123' entity_id, to_date('10/03/2021', 'dd/mm/yyyy') effective_date from dual union all
select 2 id, ' 123' entity_id, to_date('11/03/2021', 'dd/mm/yyyy') effective_date from dual union all
select 3 id, ' 123' entity_id, to_date('12/03/2021', 'dd/mm/yyyy') effective_date from dual),
tbla_detail as (select 1 id, -136 value from dual union all
select 1 id, 136 value from dual union all
select 2 id, 2000 value from dual union all
select 3 id, 3000 value from dual),
results as (select a.effective_date,
sum(ad.value) sum_value,
min(case when sum(ad.value) != 0 then a.effective_date end) over () min_effective_date
from tbla a
inner join tbla_detail ad on a.id = ad.id
where a.effective_date >= to_date('10/03/2021', 'dd/mm/yyyy')
and trim(a.entity_id) = '123'
group by a.effective_date)
select sum_value
from results
where effective_date = min_effective_date;
SUM_VALUE
----------
2000
Straightforward; read comments within code. Sample data in lines #1 - 13, query begins at line #14.
SQL> with
2 -- sample data
3 tbla (id, entity_id, effective_date) as
4 (select 1, 123, date '2021-03-10' from dual union all
5 select 2, 123, date '2021-03-11' from dual union all
6 select 3, 123, date '2021-03-12' from dual
7 ),
8 tblb (id, value) as
9 (select 1, -136 from dual union all
10 select 1, 136 from dual union all
11 select 2, 2000 from dual union all
12 select 3, 3000 from dual
13 ),
14 tblb_temp as
15 -- simple grouping per ID
16 (select id, sum(value) value
17 from tblb
18 group by id
19 )
20 -- return TBLA values whose ID equals TBLB_TEMP's minimum ID
21 -- whose value isn't zero
22 select a.id, a.entity_id, a.effective_date
23 from tbla a
24 where a.id = (select min(b.id)
25 from tblb_temp b
26 where b.value > 0
27 );
ID ENTITY_ID EFFECTIVE_
---------- ---------- ----------
2 123 03/11/2021
SQL>
I have a query that count the user by grouping them by sign up date.
return $this->createQueryBuilder('s')
->select(' date(s.created_at) as x, count(1) as y')
->where("s.created_at between datesub(now(), :months, 'Month') and now()")
->setParameter('months', $months)
->groupBy('x')
->orderBy('x')
->getQuery()
->getResult();
But their is currently gaps in my dataset.
So I have the sql request to fill the gaps, but I don't know how to create a complicated request with the Symfony's query builder.
SELECT ranger.ranger_date AS x, COALESCE(counter.counter_value, 0) as y
FROM (
SELECT DATE(s.created_at) AS counter_date, count(*) AS counter_value
FROM statistic AS s
WHERE s.created_at between DATE_SUB(NOW(), INTERVAL 3 MONTH) and now()
GROUP BY counter_date
) AS counter
RIGHT JOIN (
SELECT DATE(DATE_SUB(NOW(), INTERVAL units.i + tens.i * 10 + hundreds.i * 100 DAY)) AS ranger_date
FROM (SELECT 0 i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9)units
CROSS JOIN (SELECT 0 i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9)tens
CROSS JOIN (SELECT 0 i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9)hundreds
WHERE DATE_SUB(NOW(), INTERVAL units.i + tens.i * 10 + hundreds.i * 100 DAY) BETWEEN DATE_SUB(NOW(), INTERVAL 3 MONTH) AND NOW()
) AS ranger
ON ranger.ranger_date = counter.counter_date
ORDER BY ranger.ranger_date
I have already tried with the createQuery method, but it did not work...
If your complex native sql query is successfully returning the result set you want:
You can simply prepare and execute the query as documented by Symfony.
If you need to hydrate entities then you can use the NativeQuery class.
hoping I might be able to get some advise regarding Oracle SQL…
I have a table roughly as follows (there are more columns, but not necessary for this example)…
LOCATION USER VALUE
1 1 10
1 2 20
1 3 30
2 4 10
2 5 10
2 6 20
1 60
2 40
100
I’ve used rollup to get subtotals.
What I need to do is get the max(value) row for each location and express the max(value) as a percentage or fraction of the subtotal for each location
ie:
LOCATION USER FRAC
1 3 0.5
2 6 0.5
I could probably solve this using my limited knowledge of select queries, but am guessing there must be a fairly quick and slick method..
Thanks in advance :)
Solution using analytic functions
(Please note the WITH MY_TABLE AS serving only as dummy datasource)
WITH MY_TABLE AS
( SELECT 1 AS LOC_ID,1 AS USER_ID, 10 AS VAL FROM DUAL
UNION
SELECT 1,2,20 FROM DUAL
UNION
SELECT 1,3,30 FROM DUAL
UNION
SELECT 2,4,10 FROM DUAL
UNION
SELECT 2,5,10 FROM DUAL
UNION
SELECT 2,6,20 FROM DUAL
)
SELECT LOC_ID,
USER_ID,
RATIO_IN_LOC
FROM
(SELECT LOC_ID,
USER_ID,
RATIO_IN_LOC,
RANK() OVER (PARTITION BY LOC_ID ORDER BY RATIO_IN_LOC DESC) AS ORDER_IN_LOC
FROM
(SELECT LOC_ID,
USER_ID,
VAL,
VAL/SUM(VAL) OVER (PARTITION BY LOC_ID) AS RATIO_IN_LOC
FROM MY_TABLE
)
)
WHERE ORDER_IN_LOC = 1
ORDER BY LOC_ID,
USER_ID;
Result
LOC_ID USER_ID RATIO_IN_LOC
1 3 0,5
2 6 0,5
with inputs ( location, person, value ) as (
select 1, 1, 10 from dual union all
select 1, 2, 20 from dual union all
select 1, 3, 30 from dual union all
select 2, 4, 10 from dual union all
select 2, 5, 10 from dual union all
select 2, 6, 20 from dual
),
prep ( location, person, value, m_value, total ) as (
select location, person, value,
max(value) over (partition by location),
sum(value) over (partition by location)
from inputs
)
select location, person, round(value/total, 2) as frac
from prep
where value = m_value;
Notes: Your table exists already? Then skip everything from "inputs" to the comma; your query should begin with with prep (...) as ( ...
I changed user to person since user is a keyword in Oracle, you shouldn't use it for table or column names (actually you can't unless you use double quotes, which is a very poor practice).
The query will output two or three or more rows per location if there are ties at the top. Presumably this is what you desire.
Output:
LOCATION PERSON FRAC
---------- ---------- ----------
1 3 .5
2 6 .5