I have a table like below.
myTable:
---------------------------------------------------------------------------------
id | ref | type | status | update_dt
---------------------------------------------------------------------------------
id1 | m1123 | 10 | 1 | 03-NOV-22 10.44.64.104000000 AM
id1 | m2123 | 10 | 2 | 03-NOV-22 10.44.64.104000000 AM
id1 | s1123 | 20 | | 03-NOV-22 10.44.64.104000000 AM
id1 | s2123 | 20 | | 03-NOV-22 10.44.54.104000000 AM
id1 | p1123 | 30 | | 03-NOV-22 10.44.54.104000000 AM
id2 | m1234 | 10 | | 02-NOV-22 10.44.64.104000000 AM
id2 | s1234 | 20 | | 02-NOV-22 10.44.54.104000000 AM
id2 | s2234 | 20 | | 02-NOV-22 10.44.54.104000000 AM
id3 | m1345 | 10 | 1 | 01-NOV-22 10.44.64.104000000 AM
id3 | s1345 | 20 | | 01-NOV-22 10.44.64.104000000 AM
id3 | s2345 | 20 | | 01-NOV-22 10.44.54.104000000 AM
---------------------------------------------------------------------------------
My requirement looks pretty complex to me and I have tried to reach somewhere but not completely there. Here are my requirements.
From the table, I have to pull records of type 10 and 20 alone. With type 10 having status either null or 1.
For type 10 comparison, I need to convert the update_dt to epoch and pull all the type 10 records above a specific epoch.
type 10 records are linked to type 20 records by the id. They have the same id.
For all the records pulled in step 2, need to pull their corresponding type 20 records. But only the latest one based on update_dt.
If multiple records of type 20 has the same update_dt from step 4, any one of them can be picked.
By the above requirements, I need to get a result like for a sample epoch that corresponds to Nov 1 2022 - 11AM (1667300400):
-----------------------------------------------------------------------------------------------
ref1 | ref2 | ref1_update_dt | ref2_update_dt
-----------------------------------------------------------------------------------------------
m1123 | s1123 | 03-NOV-22 10.44.64.104000000 AM | 03-NOV-22 10.44.64.104000000 AM
m1234 | s2234 | 02-NOV-22 10.44.64.104000000 AM | 02-NOV-22 10.44.54.104000000 AM
-----------------------------------------------------------------------------------------------
I tried the below. But didnt quite get there.
WITH cte_latest AS
(
SELECT
t1.ref ref1,
t2.ref ref2,
t1.update_dt ref1_update_dt,
t2.update_dt ref2_update_dt,
RANK() OVER(ORDER BY t2.update_dt DESC) rank_temp
FROM
myTable t1
JOIN myTable t2 ON
t1.id = t2.id
WHERE
t1.type = 10
AND (t1.status IS NULL
OR t1.status = 1)
AND t2.type = 20
AND (CAST(t1.update_dt AS DATE) - TO_DATE('01/01/1970', 'DD/MM/YYYY')) * 24 * 60 * 60 > '1667300400')
SELECT
ref1,
ref2,
ref1_update_dt,
ref2_update_dt
FROM
cte_latest
WHERE
rank_temp = 1
ORDER BY
ref1_update_dt;
Please help.
RANK will return the same number when there are multiple type 20 records that have the same update_dt. So, you will want to use ROW_NUMBER instead. That will ensure that each type 20 row gets a unique number to break any ties - per rule #5.
Also, you will need to partition the ROW_NUMBER based on the id of the type 10 records. That will cause the numbering to reset at 1 for each type 10 record id. Without partitioning every row in the result set would get a unique number.
ROW_NUMBER() OVER (PARTITION BY t1.id ORDER BY t2.update_dt DESC)
We have code and products across different domains. We are tracking different timestamps at which the products transmit data. This how my data looks:
| timestamp_s | Product | Code | _c3 |
| 2017-01-01 01:18:04.40736 | A | 119 | 1 |
| 2017-01-01 01:18:05.20419 | A | 119 | 1 |
| 2017-01-01 01:18:11.21268 | A | 119 | 1 |
| 2017-01-01 10:48:22.52147 | A | 119 | 1 |
I want to find the total timestamps recorded for a product and code across different timestamps. Meaning like in the above case, the output count of timestamps for 2017-01-01 should be 4 for a unique product A and code 119 combination.
Basically, I want to see the total number of timestamp records for each day (meaning, the total count of all timestamp record(s) for 2017-01-01 as in the above case).
Use simple groupby+count distinct:
select count(distinct timestamp_s) ts_count, Product, Code
from table_name
group by Product, Code
Or if you need to have additional column with count on the same grain (without group by) use analytic function:
select timestamp_s, count(distinct timestamp_s) over(partition by Product, Code) ts_count, Product, Code
from table_name
I have one table that need to split into several other tables.
But the main table is just like a transitive table.
I dump data from a excel into it (from 5k to 200k rows) , and using insert into select, split into the correct tables (Five different tables).
However, the latest dataset that my client sent has records with duplicates values.
The primary key usually is ENI for my table. But even this record is duplicated because the same company can be a customer and a service provider, so they have two different registers but use the same ENI.
What i have so far.
I found a script that uses merge and modified it to find same eni and update the same main_id to all
|Main_id| ENI | company_name| Type
| 1 | 1864 | JOHN | C
| 2 | 351485 | JOEL | C
| 3 | 16546 | MICHEL | C
| 2 | 351485 | JOEL J. | S
| 1 | 1864 | JOHN E. E. | C
Main_id: Primarykey that the main BD uses
ENI: Unique company number
Type: 'C' - COSTUMER 'S' - SERVICE PROVIDERR
Some Cases it can have the same type. just like id 1
there are several other Columns...
What i need:
insert any of the main_id my other script already sorted, and set a flag on the others that they were not inserted. i cant delete any data i'll need to send these info to the costumer validate.
or i just simply cant make this way and go back to the good old excel
Edit: as a question below this is a example
|Main_id| ENI | company_name| Type| RANK|
| 1 | 1864 | JOHN | C | 1 |
| 2 | 351485 | JOEL | C | 1 |
| 3 | 16546 | MICHEL | C | 1 |
| 2 | 351485 | JOEL J. | S | 2 |
| 1 | 1864 | JOHN E. E. | C | 2 |
RANK - would be like the 1864 appears 2 times,
1st one found gets 1 second 2 and so on. i tryed using
RANK() OVER (PARTITION BY MAIN_ID ORDER BY ENI)
RANK() OVER (PARTITION BY company_name ORDER BY ENI)
Thanks to TEJASH i was able to come up with this solution
MERGE INTO TABLEA S
USING (Select ROWID AS ID,
row_number() Over(partition by eniorder by eni, type) as RANK_DUPLICATED
From TABLEA
) T
ON (S.ROWID = T.ID)
WHEN MATCHED THEN UPDATE SET S.RANK_DUPLICATED= T.RANK_DUPLICATED;
As far as I understood your problem, you just need to know the duplicate based on 2 columns. You can achieve it using analytical function as follows:
Select t.*,
row_number() Over(partition by main_id, eni order by company_name) as rnk
From your_table t
I'm cranking my head on a set of data in order to generate a report from a Oracle DB.
Data are in two tables:
SUPPLY
DEVICE
There is only one column that links the two tables:
SUPPLY.DEVICE_ID
DEVICE.ID
In SUPPLY, there are these data: (Markdown is not working well. it's supposed to show a table)
| DEVICE_ID | COLOR_TYPE | SERIAL | UNINSTALL_DATE |
|----------- |------------ |-------------- |--------------------- |
| 1232 | 1 | CAP857496 | 08/11/2016,19:10:50 |
| 5263 | 2 | CAP57421 | 07/11/2016,11:20:00 |
| 758 | 3 | CBO753421869 | 07/11/2016,04:25:00 |
| 758 | 4 | CC9876543 | 06/11/2016,11:40:00 |
| 8575 | 4 | CVF75421 | 05/11/2016,23:59:00 |
| 758 | 4 | CAP67543 | 30/09/2016,11:00:00 |
In DEVICE, there are columns that I've to select all (more or less), but each row is unique.
What i need to achieve is:
for each SUPPLY.DEVICE_ID and SUPPLY.COLOR_TYPE, I need the most recent ROW -> MAX(UNINSTALL_DATE)
JOINED with
more or less all the columns in DEVICE.
At the end I should have something like this:
| ACCOUNT_CODE | MODEL | DEVICE.SERIAL | DEVICE_ID | COLOR_TYPE | SUPPLY.SERIAL | UNINSTALL_DATE |
|-------------- |------- |--------------- |----------- |------------ |--------------- |--------------------- |
| BUSTO | MS410 | LM753 | 1232 | 1 | CAP857496 | 08/11/2016,19:10:50 |
| MACCHI | MX310 | XC876 | 5263 | 2 | CAP57421 | 07/11/2016,11:20:00 |
| ASL_COMO | MX711 | AB123 | 758 | 3 | CBO753421869 | 07/11/2016,04:25:00 |
| ASL_COMO | MX711 | AB123 | 758 | 4 | CC9876543 | 06/11/2016,11:40:00 |
| ASL_VARESE | X950 | DE8745 | 8575 | 4 | CVF75421 | 05/11/2016,23:59:00 |
So far, using a nested select like:
SELECT DEVICE_ID,COLOR_TYPE,SERIAL,UNINSTALL_DATE FROM
(SELECT SELECT DEVICE_ID,COLOR_TYPE,SERIAL,UNINSTALL_DATE
FROM SUPPLY WHERE DEVICE_ID = '123456' ORDER BY UNINSTALL_DATE DESC)
WHERE ROWNUM <= 1
I managed to get the highest value on the UNISTALL_DATE column after trying MAX(UNISTALL_DATE) or HIGHEST(UNISTALL_DATE).
I tried also:
SELECT SUPPLY.DEVICE_ID, SUPPLY.COLOR_TYPE, ....
FROM SUPPLY,DEVICE WHERE SUPPLY.DEVICE_ID = DEVICE.ID
and it works, but gives me ALL the items, basically it's a merge of the two tables.
When I try to narrow the data selected, i get errors or a empty result.
I'm starting to wonder that it's not possible to obtain this data and i'm starting to export the data in excel and work from there, but I wish someone can help me before giving up...
Thank you in advance.
for each SUPPLY.DEVICE_ID and SUPPLY.COLOR_TYPE, I need the most recent ROW -> MAX(UNINSTALL_DATE)
Use ROW_NUMBER function in this way:
SELECT s.*,
row_number() OVER (
PARTITION BY DEVICE_ID, COLOR_TYPE
ORDER BY UNINSTALL_DATE DESC
) As RN
FROM SUPPLY s
This query marks most recent rows with RN=1
JOINED with more or less all the columns in DEVICE.
Just join the above query to DEVICE table
SELECT d.*,
x.COLOR_TYPE,
x.SERIAL,
x.UNINSTALL_DATE
FROM (
SELECT s.*,
row_number() OVER (
PARTITION BY DEVICE_ID, COLOR_TYPE
ORDER BY UNINSTALL_DATE DESC
) As RN
FROM SUPPLY s
) x
JOIN DEVICE d
ON d.DEVICE_ID = x.DEVICE_ID AND x.RN=1
OK - so you could group by device_id, color_type and select max(uninstall_date) as well, and join to the other table. But you would miss the serial value for the most recent row (for each combination of device_id, color_type).
There are a few ways to fix that. Your attempt with rownum was close, but the problem is that you need to order within each "group" (by device_id, color_type) and get the first row from each group. I am sure someone will post a solution along those lines, using either row_number() or rank() or perhaps the analytic version of max(uninstall_date).
When you just need the "top" row from each group, you can use keep (dense_rank first/last) - which may be slightly more efficient - like so:
select device_id, color_type,
max(serial) keep (dense_rank last order by uninstall_date) as serial,
max(uninstall_date) as uninstall_date
from supply
group by device_id, color_type
;
and then join to the other table. NOTE: dense_rank last will pick up the row OR ROWS with the most recent (max) date for each group. If there are ties, that is more than one row; the serial will then be the max (in lexicographical order) among those rows with the most recent date. You can also select min, or add some order so you pick a specific one (you didn't discuss this possibility).
SELECT
d.ACCOUNT_CODE, d.DNS_HOST_NAME,d.IP_ADDRESS,d.MODEL_NAME,d.OVERRIDE_SERIAL_NUMBER,d.SERIAL_NUMBER,
s.COLOR, s.SERIAL_NUMBER, s.UNINSTALL_TIME
FROM (
SELECT s.DEVICE_ID, s.LAST_LEVEL_READ, s.SERIAL_NUMBER,TRUNC(s.UNINSTALL_TIME), row_number()
OVER (
PARTITION BY DEVICE_ID, COLOR
ORDER BY UNINSTALL_TIME DESC
) As RN
FROM SUPPLY s
WHERE s.UNINSTALL_TIME IS NOT NULL AND s.SERIAL_NUMBER IS NOT NULL
)
JOIN DEVICE d
ON d.ID = s.DEVICE_ID AND s.RN=1;
#krokodilko: thank you very much for your help. First query works. Modified it in order to remove junk, putting real columns name i need (yesterday evening i had no access to the DB) and getting only the data I need.
Unfortunately, when I join the two tables as you suggested I get error:
ORA-00904: "S"."RN": invalid identifier
00904. 00000 - "%s: invalid identifier"
If i remove s. before RN, the ORA-00904 moves back to s.DEVICE_ID.
I have one table like this (report)
--------------------------------------------------
| user_id | Department | Position | Record_id |
--------------------------------------------------
| 1 | Science | Professor | 1001 |
| 1 | Maths | | 1002 |
| 1 | History | Teacher | 1003 |
| 2 | Science | Professor | 1004 |
| 2 | Chemistry | Assistant | 1005 |
--------------------------------------------------
I'd like to have the following result
---------------------------------------------------------
| user_id | Department+Position |
---------------------------------------------------------
| 1 | Science,Professor;Maths, ; History,Teacher |
| 2 | Science, Professor; Chemistry, Assistant |
---------------------------------------------------------
That means I need to preserve the empty space as ' ' as you can see in the result table.
Now I know how to use LISTAGG function but only for one column. However, I can't exactly figure out how can I do for two columns at the sametime. Here is my query:
SELECT user_id, LISTAGG(department, ';') WITHIN GROUP (ORDER BY record_id)
FROM report
Thanks in advance :-)
It just requires judicious use of concatenation within the aggregation:
select user_id
, listagg(department || ',' || coalesce(position, ' '), '; ')
within group ( order by record_id )
from report
group by user_id
i.e. aggregate the concatentation of department with a comma and position and replace position with a space if it is NULL.