Has anybody an idea how to write a query in Oracle to get length of characters:
| user | action |
-------------------------
| mary | aaa | # 3 characters from action
| mary | bbbbb | # 5 characters from action
| mary | c | # 1 character from action
| adam | xx | # 2 characters from action
| adam | yyyy | # 4 characters from action
| adam | zzzzzzz | # 7 characters from action
So in result should be sum of characters for each:
| mary | 9 |
| adam | 13 |
Thanks.
SUM + LENGTH along with GROUP BY user. Sample data in lines #1 - 14; query you need begins at line #15.
SQL> WITH
2 test (cuser, action)
3 AS
4 (SELECT 'mary', 'aaa' FROM DUAL
5 UNION ALL
6 SELECT 'mary', 'bbbbb' FROM DUAL
7 UNION ALL
8 SELECT 'mary', 'c' FROM DUAL
9 UNION ALL
10 SELECT 'adam', 'xx' FROM DUAL
11 UNION ALL
12 SELECT 'adam', 'yyyy' FROM DUAL
13 UNION ALL
14 SELECT 'adam', 'zzzzzzz' FROM DUAL)
15 SELECT cuser, SUM (LENGTH (action))
16 FROM test
17 GROUP BY cuser;
CUSE SUM(LENGTH(ACTION))
---- -------------------
mary 9
adam 13
SQL>
Use the LENGTH function in your aggregation:
SELECT "USER",
SUM( LENGTH( action ) ) AS total_length
FROM table_name
GROUP BY "USER"
Which, for your sample data:
CREATE TABLE table_name( "USER", action ) AS
SELECT 'mary', 'aaa' FROM DUAL UNION ALL
SELECT 'mary', 'bbbbb' FROM DUAL UNION ALL
SELECT 'mary', 'c' FROM DUAL UNION ALL
SELECT 'adam', 'xx' FROM DUAL UNION ALL
SELECT 'adam', 'yyyy' FROM DUAL UNION ALL
SELECT 'adam', 'zzzzzzz' FROM DUAL;
Outputs:
USER | TOTAL_LENGTH
:--- | -----------:
mary | 9
adam | 13
db<>fiddle here
Related
I have one table where I need to add new column endDate for future implementation but since we have currently only start date for all records I need to set endDate which should be equal to start date from previous record that are connected by userId and if it is only one record for that user than end date will have some value in future.
For example:
Table structure:
ID | USER_ID | START_DATE | END_DATE
-------------------------------------
1 | 1 | 01.01.2015 |
2 | 1 | 01.01.2016 |
3 | 1 | 01.07.2018 |
4 | 1 | 01.08.2021 |
5 | 2 | 01.01.2015 |
6 | 3 | 01.01.2016 |
7 | 3 | 01.07.2018 |
8 | 4 | 01.08.2021 |
Expected result should be like this
ID | USER_ID | START_DATE | END_DATE
-------------------------------------
1 | 1 | 01.01.2015 | 01.01.2016
2 | 1 | 01.01.2016 | 01.07.2018
3 | 1 | 01.07.2018 | 01.08.2021
4 | 1 | 01.08.2021 | 01.01.2050
5 | 2 | 01.01.2015 | 01.01.2050
6 | 3 | 01.01.2016 | 01.07.2018
7 | 3 | 01.07.2018 | 01.01.2050
8 | 4 | 01.08.2021 | 01.01.2050
Can someone help me with how query in oracle databse should look to update it like this?
I've tried something with for loop but not sure how to continue from this step
DECLARE
CURSOR c_contract
IS
SELECT
USER_ID
FROM
CONTRACT
ORDER_BY START_DATE
BEGIN
FOR r_contract IN c_contract
LOOP
dbms_output.put_line( r_contract.USER_ID );
END LOOP;
END;
Use the LEAD analytic function with the default date as the third argument:
SELECT t.*,
LEAD( start_date, 1, DATE '2050-01-01') OVER (
PARTITION BY user_id
ORDER BY start_date
) AS end_date
FROM table_name t
Which, for the sample data:
ALTER SESSION SET NLS_DATE_FORMAT = 'YYYY-MM-DD HH24:MI:SS';
CREATE TABLE table_name ( ID, USER_ID, START_DATE ) AS
SELECT 1, 1, DATE '2015-01-01' FROM DUAL UNION ALL
SELECT 2, 1, DATE '2016-01-01' FROM DUAL UNION ALL
SELECT 3, 1, DATE '2018-07-01' FROM DUAL UNION ALL
SELECT 4, 1, DATE '2021-08-01' FROM DUAL UNION ALL
SELECT 5, 2, DATE '2015-01-01' FROM DUAL UNION ALL
SELECT 6, 3, DATE '2016-01-01' FROM DUAL UNION ALL
SELECT 7, 3, DATE '2018-07-01' FROM DUAL UNION ALL
SELECT 8, 4, DATE '2021-08-01' FROM DUAL;
Outputs:
ID
USER_ID
START_DATE
END_DATE
1
1
2015-01-01 00:00:00
2016-01-01 00:00:00
2
1
2016-01-01 00:00:00
2018-07-01 00:00:00
3
1
2018-07-01 00:00:00
2021-08-01 00:00:00
4
1
2021-08-01 00:00:00
2050-01-01 00:00:00
5
2
2015-01-01 00:00:00
2050-01-01 00:00:00
6
3
2016-01-01 00:00:00
2018-07-01 00:00:00
7
3
2018-07-01 00:00:00
2050-01-01 00:00:00
8
4
2021-08-01 00:00:00
2050-01-01 00:00:00
If you want to add a column then:
ALTER TABLE table_name ADD (end_date DATE);
MERGE INTO table_name dst
USING (
SELECT ROWID AS rid,
LEAD( start_date, 1, DATE '2050-01-01') OVER (
PARTITION BY user_id
ORDER BY start_date
) AS end_date
FROM table_name
) src
ON (dst.ROWID = src.rid)
WHEN MATCHED THEN
UPDATE SET end_date = src.end_date;
fiddle
I'm having trouble figuring out how to do something in Oracle. I have this table:
| id | rownum | code | gift |
|-----|--------|-----------|------|
|2000 | 1 | Ganymede | 437 |
|2000 | 2 | Alpha | 50 |
|2000 | 3 | Ambergris | 600 |
And the client wants it to look like this:
| id | code_1 | gift_1 | code_2 | gift_2 | code_3 | gift_3 |
|----|--------|--------|--------|--------|-----------|--------|
|2000|Ganymede| 437 | Alpha | 50 | Ambergris | 600 |
I'm not quite sure how to go about doing this using PIVOT.
You can use PIVOT:
SELECT id,
"1_CODE" AS code_1,
"1_GIFT" AS gift_1,
"2_CODE" AS code_2,
"2_GIFT" AS gift_2,
"3_CODE" AS code_3,
"3_GIFT" AS gift_3
FROM table_name
PIVOT (
MAX(code) AS code,
MAX(gift) AS gift
FOR "ROWNUM" IN (1, 2, 3)
)
or conditional aggregation:
SELECT id,
MAX(CASE "ROWNUM" WHEN 1 THEN code END) AS code_1,
MAX(CASE "ROWNUM" WHEN 1 THEN gift END) AS gift_1,
MAX(CASE "ROWNUM" WHEN 2 THEN code END) AS code_2,
MAX(CASE "ROWNUM" WHEN 2 THEN gift END) AS gift_2,
MAX(CASE "ROWNUM" WHEN 3 THEN code END) AS code_3,
MAX(CASE "ROWNUM" WHEN 3 THEN gift END) AS gift_3
FROM table_name
GROUP BY id
Which, for the sample data:
CREATE TABLE table_name (id, "ROWNUM", code, gift ) AS
SELECT 2000, 1, 'Ganymede', 437 FROM DUAL UNION ALL
SELECT 2000, 2, 'Alpha', 50 FROM DUAL UNION ALL
SELECT 2000, 3, 'Ambergris', 600 FROM DUAL;
Both output:
ID
CODE_1
GIFT_1
CODE_2
GIFT_2
CODE_3
GIFT_3
2000
Ganymede
437
Alpha
50
Ambergris
600
db<>fiddle here
I have monthly agents' sales data. I need to get the first 25 days sales count and last 5 days columns.
How to get in separately.
I have below table
Agent_ID Date Device
2343 1/1/2019 33330
3245 1/1/2019 43554
2343 5/1/2019 46665
3245 10/1/2019 78900
2343 15/1/2019 55678
2343 26/1/2019 45678
3245 28/1/2019 48900
2343 30/1/2019 56710
5645 12/1/2019 33067
5645 15/1/2019 44890
2121 31/1/2019 55810
I need to get this below output table
Agent_ID first_25days_sale_count Last_5days_sale_count
2343 3 2
3245 2 1
5645 2 0
2121 0 1
Some months have 28, 29 or 31 days so naively using "first 25 days" and "last 5 days" may lead to either double counting (i.e. days 24 and 25 when February has 28 days) or not counting some days (i.e. day 26 when the the month has 31 days). You should decide whether you want to count:
The first 25 days and then the remaining 3-6 days after that; or
The last 5 days and then the 23-26 days before that.
Whichever you chose, you can use conditional aggregation:
SELECT agent_id,
COUNT(
CASE
WHEN EXTRACT( DAY FROM "Date" ) <= 25
THEN 1
END
) AS first_25days_sale_count,
COUNT(
CASE
WHEN EXTRACT( DAY FROM "Date" ) > 25
THEN 1
END
) AS after_first_25days_sale_count,
COUNT(
CASE
WHEN "Date" < TRUNC( LAST_DAY( "Date" ) ) - INTERVAL '4' DAY
THEN 1
END
) AS not_last_5days_sale_count,
COUNT(
CASE
WHEN "Date" >= TRUNC( LAST_DAY( "Date" ) ) - INTERVAL '4' DAY
THEN 1
END
) AS last_5days_sale_count
FROM your_table
GROUP BY agent_id;
So, for your sample data:
CREATE TABLE your_table ( Agent_ID, "Date", Device ) AS
SELECT 2343, DATE '2019-01-01', 33330 FROM DUAL UNION ALL
SELECT 3245, DATE '2019-01-01', 43554 FROM DUAL UNION ALL
SELECT 2343, DATE '2019-01-05', 46665 FROM DUAL UNION ALL
SELECT 3245, DATE '2019-01-10', 78900 FROM DUAL UNION ALL
SELECT 2343, DATE '2019-01-15', 55678 FROM DUAL UNION ALL
SELECT 2343, DATE '2019-01-26', 45678 FROM DUAL UNION ALL
SELECT 3245, DATE '2019-01-29', 48900 FROM DUAL UNION ALL
SELECT 2343, DATE '2019-01-30', 56710 FROM DUAL UNION ALL
SELECT 5645, DATE '2019-01-12', 33067 FROM DUAL UNION ALL
SELECT 5645, DATE '2019-01-15', 44890 FROM DUAL UNION ALL
SELECT 2121, DATE '2019-01-31', 55810 FROM DUAL;
This outputs:
AGENT_ID | FIRST_25DAYS_SALE_COUNT | AFTER_FIRST_25DAYS_SALE_COUNT | NOT_LAST_5DAYS_SALE_COUNT | LAST_5DAYS_SALE_COUNT
-------: | ----------------------: | ----------------------------: | ------------------------: | --------------------:
3245 | 2 | 1 | 2 | 1
2121 | 0 | 1 | 0 | 1
5645 | 2 | 0 | 2 | 0
2343 | 3 | 2 | 4 | 1
db<>fiddle here
I have a table with following data
Order_no | Part_No | R_from | R_to
1001 | 1010037-00L| 1 | 5
1001 | 1010025-00L| 6 | 12
I need to get the above data to a report in below manner.
R_NO | PART_NO
------------------
1 | 1010037-00L
2 | 1010037-00L
3 | 1010037-00L
4 | 1010037-00L
5 | 1010037-00L
6 | 1010025-00L
7 | 1010025-00L
8 | 1010025-00L
9 | 1010025-00L
10 | 1010025-00L
11 | 1010025-00L
12 | 1010025-00L
Something like:
WITH r_nos ( r_no ) AS (
SELECT LEVEL
FROM DUAL
CONNECT BY LEVEL <= ( SELECT MAX( R_to ) FROM your_table )
)
SELECT r_no,
part_no
FROM r_nos r
INNER JOIN
your_table y
ON ( r.r_no BETWEEN y.r_from AND y.r_to )
Here's an alternative which doesn't require a separate join. You should test both solutions to see which is more performant for your data etc, though.
WITH your_table AS (SELECT 1001 order_no, '1010037-00L' part_no, 1 r_from, 5 r_to FROM dual UNION ALL
SELECT 1001 order_no, '1010025-00L' part_no, 6 r_from, 12 r_to FROM dual)
SELECT r_from + LEVEL -1 r_no,
order_no,
part_no
FROM your_table
CONNECT BY PRIOR order_no = order_no
AND PRIOR part_no = part_no
AND PRIOR sys_guid() IS NOT NULL
AND LEVEL <= r_to - r_from + 1
ORDER BY r_no;
R_NO ORDER_NO PART_NO
---------- ---------- -----------
1 1001 1010037-00L
2 1001 1010037-00L
3 1001 1010037-00L
4 1001 1010037-00L
5 1001 1010037-00L
6 1001 1010025-00L
7 1001 1010025-00L
8 1001 1010025-00L
9 1001 1010025-00L
10 1001 1010025-00L
11 1001 1010025-00L
12 1001 1010025-00L
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user_id | username | salary |
+---------+----------+------+
| 1 | John | 4000 |
| 2 | Paul | 0900 |
| 3 | Adam | 0589 |
| 4 | Ben | 2154 |
| 5 | Charles | 2489 |
| 6 | Dean | 2500 |
| 7 | Edward | 2900 |
| 8 | Fred | 2800 |
| 9 | George | 4100 |
| 10 | Hugo | 5200 |
I need output like this
range count
--------------------
0-999 2
1000-1999 0
2000-2999 5
3000-3999 0
4000-4999 2
5000-5999 1
Here is an attempt:
with w as
(
select 1000 * (level - 1) low, 1000 * level high from dual
connect by level <= 10
)
select w.low, w.high, sum(decode(t.user_id, null, 0, 1)) nb
from w, test_epn t
where w.low <= t.salary (+)
and w.high > t.salary (+)
group by w.low, w.high
order by w.low
;
This gives:
1 0 1000 2
2 1000 2000 0
3 2000 3000 5
4 3000 4000 0
5 4000 5000 2
6 5000 6000 1
7 6000 7000 0
8 7000 8000 0
9 8000 9000 0
10 9000 10000 0
SQL> col range format a30
SQL> with t as (
2 select 'John' name, 4000 sal from dual union all
3 select 'Paul' name, 900 from dual union all
4 select 'Adam' name, 589 from dual union all
5 select 'Ben' name, 2154 from dual union all
6 select 'Charles' name, 2489 from dual union all
7 select 'Dean' name, 2500 from dual union all
8 select 'Edward' name, 2900 from dual union all
9 select 'Fred' name, 2800 from dual union all
10 select 'George' name, 4100 from dual union all
11 select 'Hugo' name, 5200 from dual
12 )
13 select to_char(pvtid*1000)||'-'||to_char(pvtid*1000+999) range, count(t.sal)
14 from t
15 ,
16 (
17 select rownum-1 pvtid
18 from dual connect by level <= (select floor(max(sal)/1000) from t)+1
19 ) piv
20 where piv.pvtid = floor(t.sal(+)/1000)
21 group by piv.pvtid
22 order by 1
23 /
RANGE COUNT(T.SAL)
------------------------------ ------------
0-999 2
1000-1999 0
2000-2999 5
3000-3999 0
4000-4999 2
5000-5999 1
Oracle 11g R2 Schema Setup:
create table test_table as
select 1 user_id, 'John' username , 4000 salary from dual union all
select 2 , 'Paul' , 0900 from dual union all
select 3 , 'Adam' , 0589 from dual union all
select 4 , 'Ben' , 2154 from dual union all
select 5 , 'Charles' , 2489 from dual union all
select 6 , 'Dean' , 2500 from dual union all
select 7 , 'Edward' , 2900 from dual union all
select 8 , 'Fred' , 2800 from dual union all
select 9 , 'George' , 4100 from dual union all
select 10 , 'Hugo' , 5200 from dual
Query 1:
with range_tab(f,t) as (select (level - 1)*1000 , (level - 1)*1000 + 999
from dual
connect by (level - 1)*1000 <= (select max(salary) from test_table))
select f ||'-'|| t as range, count(user_id)
from test_table
right outer join range_tab on (salary between f and t)
group by f, t
order by 1
[Results][2]:
| RANGE | COUNT(USER_ID) |
|-----------|----------------|
| 0-999 | 2 |
| 1000-1999 | 0 |
| 2000-2999 | 5 |
| 3000-3999 | 0 |
| 4000-4999 | 2 |
| 5000-5999 | 1 |
In case of fixed interval you can also use Oracle WIDTH_BUCKET function.
select count(*),
(WIDTH_BUCKET(salary, 0, 10000,10)-1)*1000 ||'-'||to_char(WIDTH_BUCKET(salary, 0, 10000,10)*1000-1) as salary_range
from table1
group by WIDTH_BUCKET(salary, 0, 10000,10)
order by salary_range;
| COUNT(*) | SALARY_RANGE |
|----------|--------------|
| 2 | 0-999 |
| 5 | 2000-2999 |
| 2 | 4000-4999 |
| 1 | 5000-5999 |
Disadvantage is: It does not count empty buckets, but maybe this satisfy your needs anyway.