I have a simple table with values (ID) in groups (GRP_ID).
create table tst as
select 1 grp_id, 1 id from dual union all
select 1 grp_id, 1 id from dual union all
select 1 grp_id, 2 id from dual union all
select 2 grp_id, 1 id from dual union all
select 2 grp_id, 2 id from dual union all
select 2 grp_id, 2 id from dual union all
select 3 grp_id, 3 id from dual;
It is straightforward to find a maximum value per group using analytical functions.
select grp_id, id,
max(id) over (partition by grp_id) max_grp
from tst
order by 1,2;
GRP_ID ID MAX_GRP
---------- ---------- ----------
1 1 2
1 1 2
1 2 2
2 1 2
2 2 2
2 2 2
3 3 3
But the goal is to find the maximum value excluding the value of the current row.
This is the expected result (column MAX_OTHER_ID):
GRP_ID ID MAX_GRP MAX_OTHER_ID
---------- ---------- ---------- ------------
1 1 2 2
1 1 2 2
1 2 2 1
2 1 2 2
2 2 2 2
2 2 2 2
3 3 3
Note that in the GRP_ID = 2 a tie on the MAX value exists, so the MAX_OTHER_ID remains the same.
I did manage this two step solution, but I'm wondering if there is a more straightforward and simple solution.
with max1 as (
select grp_id, id,
row_number() over (partition by grp_id order by id desc) rn
from tst
)
select GRP_ID, ID,
case when rn = 1 /* MAX row per group */ then
max(decode(rn,1,to_number(null),id)) over (partition by grp_id)
else
max(id) over (partition by grp_id)
end as max_other_id
from max1
order by 1,2
;
I wish the window functions supported multiple range specifications something like:
max(id) over (
partition by grp_id
order by id
range between unbounded preceding and 1 preceding
or range between 1 following and unbounded following
)
But unfortunately they don't.
As a workaround, you can avoid subqueries and CTEs using the function twice on the different ranges and call coalesce on that.
select grp_id,
id,
coalesce(
max(id) over (
partition by grp_id
order by id
range between 1 following and unbounded following
)
, max(id) over (
partition by grp_id
order by id
range between unbounded preceding and 1 preceding
)
) max_grp
from tst
order by 1,
2
Coalesce works out of the box because of the ordering clause as the result of the window function call will be either the max in the given window or a null value.
Demo - http://rextester.com/SDXVF13962
SELECT GRP_ID,ID, (SELECT Max(ID) FROM TEST A WHERE A.ROWID<>B.ROWID AND A.GRP_ID=B.GRP_ID) maX_ID FROM TEST B;
Got the expected result with Co-Related Query ! Hope this helps .
Related
I believe there is probably an easy way to solve these problems with pivots or partitions but I can't seem to find the proper solutions. I have a round about solution for problem 1 by using a long list of select sum()s and a long solution for problem 2 where I just select the count(*) from table B where id = id from table A multiple times in a (select) blocks but if I have a large number of IDs both of those solution equal very long SQL that gets very tedious and I'm sure there is a better way it is just eluding me.
I would really like solutions that would allow me to include a large set of multiple IDs or supply the solution with a table of IDs to evaluate.
Problem 1:
Table:
------------------
ID DESC YEAR
1 A 2021
1 B 2021
1 C 2021
2 A 2021
2 B 2021
2 C 2021
3 A 2019
3 B 2019
I would like to have the count of the ID's for each DESC by year.
Expected Result:
------------------
Year CountA CountB CountC
2019 1 1 0
2021 2 2 2
Problem 2:
Table A:
------------------
ID DESC
1 A
2 B
3 C
Table B:
------------------
SET ID
10 1
10 1
12 1
13 2
14 3
I would like to see (1) how many of each ID from Table A can be found in each SET in Table B and (2) how many of each ID from Table A can be found in each SET in Table B and not in any other SET of Table B (unique matches).
Expected Result 1:
------------------
ID Count10 Count12 Count13 Count14
1 2 1 0 0
2 0 0 1 0
3 0 0 0 1
Expected Result 2:
------------------
ID UniqueCount10 UniqueCount12 UniqueCount13 UniqueCount14
1 0 0 0 0
2 0 0 1 0
3 0 0 0 1
Thank you for any and all assistance.
All three problems can be solved with pivoting (calling Problem 2 "two different problems"), although it is not clear what purpose Result 2 would serve (in the second problem; see my comments to you).
Note that desc and set are reserved keywords, and year is a keyword, so they shouldn't be used as column names. I changed to descr, set_ (with an underscore) and yr. Also, I do not use double-quotes for column names in the output; all-caps column names are just fine.
In the second problem it is not clear why you need Table A. Could you have some id values that don't appear at all in Table B, but you still want them in the final output? If so, you will need to change my semi-joins to outer joins; left as an exercise, since it's a different (and much more basic) type of question.
In the first problem, you must pivot the result of a subquery, which selects only the relevant columns from the base table. There is no such need for the second problem (unless your tables have other columns that should not be considered - left for you to figure out).
Problem 1
Data:
create table tbl (id, descr, yr) as
select 1, 'A', 2021 from dual union all
select 1, 'B', 2021 from dual union all
select 1, 'C', 2021 from dual union all
select 2, 'A', 2021 from dual union all
select 2, 'B', 2021 from dual union all
select 2, 'C', 2021 from dual union all
select 3, 'A', 2019 from dual union all
select 3, 'B', 2019 from dual
;
Query and output:
select *
from (select descr, yr from tbl)
pivot (count(*) for descr in ('A' as count_a, 'B' as count_b, 'C' as count_c))
order by yr
;
YR COUNT_A COUNT_B COUNT_C
---- ------- ------- -------
2019 1 1 0
2021 2 2 2
Problem 2
Data:
create table table_a (id, descr) as
select 1, 'A' from dual union all
select 2, 'B' from dual union all
select 3, 'C' from dual
;
create table table_b (set_, id) as
select 10, 1 from dual union all
select 10, 1 from dual union all
select 12, 1 from dual union all
select 13, 2 from dual union all
select 14, 3 from dual
;
Part 1 - Query and result:
select *
from table_b
pivot (count(*) for set_ in (10 as count_10, 12 as count_12,
13 as count_13, 14 as count_14))
where id in (select id from table_a) -- is this needed?
order by id -- if needed
;
ID COUNT_10 COUNT_12 COUNT_13 COUNT_14
-- -------- -------- -------- --------
1 2 1 0 0
2 0 0 1 0
3 0 0 0 1
Part 2 - Query and result:
select *
from (
select id, case count(distinct set_) when 1 then max(set_) end as set_
from table_b
where id in (select id from table_a) -- is this needed?
group by id
)
pivot (count(*) for set_ in (10 as unique_ct_10, 12 as unique_ct_12,
13 as unique_ct_13, 14 as unique_ct_14))
order by id -- if needed
;
ID UNIQUE_CT_10 UNIQUE_CT_12 UNIQUE_CT_13 UNIQUE_CT_14
-- ------------ ------------ ------------ ------------
1 0 0 0 0
2 0 0 1 0
3 0 0 0 1
In this last part of the second problem, you might as well just take the subquery and run it separately - what's the purpose of pivoting its output?
Currently, I have a table MY_TABLE like below:
ID ACCT_TYPE CREDIT_AMT DEBIT_AMT
-- --------- ---------- ---------
1 CDT_01 4 (null)
1 DBT_01 (null) 6
One ID can have multiple ACCT_TYPE like above, and each type has its own amount.
I want to just select the row which has ACCT_TYPE like 'CDT_%' but also the total_amount column which is the total of credit_amt and debit_amt column for the same ID.
My expected output like below:
ID ACCT_TYPE TOTAL_AMT
-- --------- ---------
1 CDT_01 10
I tried with this select statement below but it's no use, I think it's because of different ACCT_TYPE:
Select ID, ACCT_TYPE, SUM(NVL(CREDIT_AMT, 0) + NVL(DEBIT_AMT, 0)) TOTAL_AMT
FROM MY_TABLE WHERE ACCT_TYPE LIKE 'CDT_%' GROUP BY ID, ACCT_TYPE;
Here is the output of the select statement above:
ID ACCT_TYPE TOTAL_AMT
-- --------- ---------
1 CDT_01 4
I just begin to learn some query so I don't know is it really possible to get my expected output.
One way to do it is like below:
with inputs (ID, ACCT_TYPE, CREDIT_AMT, DEBIT_AMT) as
(
select 1, 'CDT_01', 4, null from dual union all
select 1, 'DBT_01', null, 6 from dual
),
prep as
(
select t.*, sum(nvl(credit_amt,0)) over (partition by id) + sum(nvl(debit_amt,0)) over (partition by id) as sum_per_id
from inputs t
)
select id, acct_type, sum_per_id
from prep
where acct_type like 'CDT_%';
Output:
A correlated subquery might be one option; sample data (thank you, #Ranagal) in lines #1 - 5; query that does the job begins at line #6.
SQL> with inputs (ID, ACCT_TYPE, CREDIT_AMT, DEBIT_AMT) as
2 (
3 select 1, 'CDT_01', 4, null from dual union all
4 select 1, 'DBT_01', null, 6 from dual
5 )
6 select a.id,
7 a.acct_type,
8 (select sum(nvl(b.credit_amt, 0)) +
9 sum(nvl(b.debit_amt , 0))
10 from inputs b
11 where b.id = a.id
12 ) total_amt
13 from inputs a
14 where acct_type like 'CDT%';
ID ACCT_T TOTAL_AMT
---------- ------ ----------
1 CDT_01 10
SQL>
i have table test2.it contains
ID
1
4
5
10
now i found missing numbers in this sequence.with this query
SELECT min_ID - 1 + level mn FROM
( SELECT MIN(ID) min_ID , MAX(ID) max_ID FROM test2 )
CONNECT BY level <= max_ID - min_ID + 1 minus SELECT ID FROM test2
output is:
MN
---
2
3
6
7
8
9
now i want to combine these 2 columns.I am unable to do this please help me.
i want output like
1 2
4 3
7 5
10 6
8
9
Oracle Setup:
CREATE TABLE test2 (id) AS
SELECT 1 FROM DUAL UNION ALL
SELECT 4 FROM DUAL UNION ALL
SELECT 5 FROM DUAL UNION ALL
SELECT 10 FROM DUAL;
Query:
WITH bounds ( mn, mx ) AS (
SELECT MIN( id ), MAX( id ) FROM test2
),
missing (id, rn) AS (
SELECT id, ROWNUM
FROM (
SELECT mn + LEVEL AS id
FROM bounds
CONNECT BY LEVEL < MX - MN
MINUS
SELECT id
FROM test2
)
),
existing ( id, rn ) AS (
SELECT id, ROWNUM
FROM test2
)
SELECT e.id, m.id
FROM existing e
FULL OUTER JOIN
missing m
ON ( e.rn = m.rn );
Output
ID ID
---------- ----------
1 2
4 3
5 6
10 7
9
8
i have below data.
table A
id
1
2
3
table B
id name data1 data2 datetime
1 cash 12345.00 12/12/2012 11:10:12
1 quantity 222.12 14/12/2012 11:10:12
1 date 20/12/2012 12/12/2012 11:10:12
1 date 19/12/2012 13/12/2012 11:10:12
1 date 13/12/2012 14/12/2012 11:10:12
1 quantity 330.10 17/12/2012 11:10:12
I want to retrieve data in one row like below:
tableA.id tableB.cash tableB.date tableB.quantity
1 12345.00 13/12/2012 330.10
I want to retrieve based on max(datetime).
The data model appears to be insane-- it makes no sense to join an ORDER_ID to a CUSTOMER_ID. It makes no sense to store dates in a VARCHAR2 column. It makes no sense to have no relationship between a CUSTOMER and an ORDER. It makes no sense to have two rows in the ORDER table with the same ORDER_ID. ORDER is also a reserved word so you cannot use that as a table name. My best guess is that you want something like
select *
from customer c
join (select order_id,
rank() over (partition by order_id
order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
from order) o on (c.customer_id=o.order_id)
where o.rnk = 1
If that is not what you want, please (as I asked a few times in the comments) post the expected output.
These are the results I get with my query and your sample data (fixing the name of the ORDER table so that it is actually valid)
SQL> ed
Wrote file afiedt.buf
1 with orders as (
2 select 1 order_id, 'iphone' order_name, '20121201 12:20:23' order_time from dual union all
3 select 1, 'iphone', '20121201 12:22:23' from dual union all
4 select 2, 'nokia', '20110101 13:20:20' from dual ),
5 customer as (
6 select 1 customer_id, 'paul' customer_name from dual union all
7 select 2, 'stuart' from dual union all
8 select 3, 'mike' from dual
9 )
10 select *
11 from customer c
12 join (select order_id,
13 rank() over (partition by order_id
14 order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
15 from orders) o on (c.customer_id=o.order_id)
16* where o.rnk = 1
SQL> /
CUSTOMER_ID CUSTOM ORDER_ID RNK
----------- ------ ---------- ----------
1 paul 1 1
2 stuart 2 1
Try something like
SELECT *
FROM CUSTOMER c
INNER JOIN ORDER o
ON (o.CUSTOMER_ID = c.CUSTOMER_ID)
WHERE TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS') =
(SELECT MAX(TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS')) FROM ORDER)
Share and enjoy.
I am working on a time attendance system. I have the employees' transactions stored in the following table:
I want to get the earliest and the latest transactions for each employee including their date and type.
I am able to get the dates using grouping and aggregation. However, I am not able to figure out how to get types with them.
Would you please help me in it.
Thank you.
That's what the FIRST and LAST aggregate functions are designed for.
Here is a link to the documentation:
FIRST: http://download.oracle.com/docs/cd/E11882_01/server.112/e17118/functions065.htm#SQLRF00641
LAST: http://download.oracle.com/docs/cd/E11882_01/server.112/e17118/functions083.htm#sthref1206
And here is an example:
SQL> create table my_transactions (id,employee_id,action_date,type)
2 as
3 select 1, 1, sysdate, 'A' from dual union all
4 select 2, 1, sysdate-1, 'B' from dual union all
5 select 3, 1, sysdate-2, 'C' from dual union all
6 select 4, 1, sysdate-3, 'D' from dual union all
7 select 5, 2, sysdate-11, 'E' from dual union all
8 select 6, 2, sysdate-12, 'F' from dual union all
9 select 7, 2, sysdate-13, 'G' from dual
10 /
Table created.
SQL> select *
2 from my_transactions
3 order by id
4 /
ID EMPLOYEE_ID ACTION_DATE T
---------- ----------- ------------------- -
1 1 04-07-2011 10:15:07 A
2 1 03-07-2011 10:15:07 B
3 1 02-07-2011 10:15:07 C
4 1 01-07-2011 10:15:07 D
5 2 23-06-2011 10:15:07 E
6 2 22-06-2011 10:15:07 F
7 2 21-06-2011 10:15:07 G
7 rows selected.
SQL> select employee_id
2 , min(action_date) min_date
3 , max(type) keep (dense_rank first order by action_date) min_date_type
4 , max(action_date) max_date
5 , max(type) keep (dense_rank last order by action_date) max_date_type
6 from my_transactions
7 group by employee_id
8 /
EMPLOYEE_ID MIN_DATE M MAX_DATE M
----------- ------------------- - ------------------- -
1 01-07-2011 10:15:07 D 04-07-2011 10:15:07 A
2 21-06-2011 10:15:07 G 23-06-2011 10:15:07 E
2 rows selected.
Regards,
Rob.
You could try to use analytical(or windowing functions)
select *
from
(select id, employee_id, action_date,type,
max(action_date) over (partition by employee_id) max_action_date,
min(action_date) over (partition by employee_id) min_action_date
from transaction)
where action_date in (max_action_date, min_action_date)