I am having trouble semi-transposing the table below based on the 'LENGTH' column. I am using an Oracle database, sample data:
+-----------+-----------+--------+------+
| PERSON_ID | PERIOD_ID | LENGTH | FLAG |
+-----------+-----------+--------+------+
| 1 | 1 | 4 | 1 |
| 1 | 2 | 3 | 0 |
| 2 | 1 | 4 | 1 |
+-----------+-----------+--------+------+
I would like to lengthen this table based on the LENGTH row; basically duplicating the row for each value in the LENGTH column.
See the desired output table below:
+-----------+-----------+--------+------+
| PERSON_ID | PERIOD_ID | NUMBER | FLAG |
+-----------+-----------+--------+------+
| 1 | 1 | 1 | 1 |
| 1 | 1 | 2 | 1 |
| 1 | 1 | 3 | 1 |
| 1 | 1 | 4 | 1 |
| 1 | 2 | 1 | 0 |
| 1 | 2 | 2 | 0 |
| 1 | 2 | 3 | 0 |
| 2 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 |
| 2 | 1 | 3 | 1 |
| 2 | 1 | 4 | 1 |
+-----------+-----------+--------+------+
I typically work in Posgres so Oracle is new to me.
I've found some solutions using the connect by statement but they seem overly complicated, particularly when compared to the simple generate_series() command from Posgres.
A recursive CTE subtracting 1 from length until 1 is reached should work. (In Postgres too, BTW, should you need something working cross platform.)
WITH cte (person_id,
period_id,
number_,
flag)
AS
(
SELECT person_id,
period_id,
length number_,
flag
FROM elbat
UNION ALL
SELECT person_id,
period_id,
number_ - 1 number_,
flag
FROM cte
WHERE number_ > 1
)
SELECT *
FROM cte
ORDER BY person_id,
period_id,
number_;
db<>fiddle
Related
While going through SQL columns, if we find text match "NEW" in Calc column, update the incrementing a count starting with 1 in Results column.
It should look like this on the output:
The following uses an id column to resolve the order issue. Replace that with your corresponding expression. This also addresses the requirement to start the display sequence with 1 and also show 0 for the 'NEW' rows.
The SQL (updated):
SELECT logs.*
, CASE WHEN text = 'NEW' THEN 0
ELSE
COALESCE(SUM(CASE WHEN text = 'NEW' THEN 1 END) OVER (PARTITION BY xrank ORDER BY id)+1, 1)
END AS display
FROM logs
ORDER BY id
The result:
+----+-------+------+---------+
| id | xrank | text | display |
+----+-------+------+---------+
| 1 | 1 | A | 1 |
| 2 | 1 | B | 1 |
| 3 | 1 | C | 1 |
| 4 | 1 | NEW | 0 |
| 5 | 1 | D | 2 |
| 6 | 1 | Q | 2 |
| 7 | 1 | B | 2 |
| 8 | 1 | NEW | 0 |
| 9 | 1 | D | 3 |
| 10 | 1 | Z | 3 |
| 11 | 2 | A | 1 |
| 12 | 2 | B | 1 |
| 13 | 2 | C | 1 |
| 14 | 2 | NEW | 0 |
| 15 | 2 | D | 2 |
| 16 | 2 | Q | 2 |
| 17 | 2 | B | 2 |
| 18 | 2 | NEW | 0 |
| 19 | 2 | D | 3 |
| 20 | 2 | Z | 3 |
+----+-------+------+---------+
You need a column that specifies the ordering for the table. With that, just use a cumulative sum:
select t.*,
1 + sum(case when Calc = 'NEW' then 1 else 0 end) over (partition by Rank_Id order by Seq) as display
from t;
This question already has an answer here:
oracle - querying NULL values in unpivot query
(1 answer)
Closed 2 years ago.
I'm currently doing an unpivot for a Oracle Data Source (v.12.2) like this:
SELECT *
FROM some_table
UNPIVOT (
(X,Y,Val)
FOR SITE
IN (
(SITE1_X, SITE1_Y, SITE1_VAL) AS '1',
(SITE2_X, SITE2_Y, SITE2_VAL) AS '2',
(SITE3_X, SITE3_Y, SITE3_VAL) AS '3'
))
This works totally fine so far. There is only one exception - I have another column, let's say extend_info, ... if this column has the value y, there will be only one row of this column and all the site columns will be null. Nevertheless I would like to keep this row and not drop it.
I'm not really sure how to do this or what would be a nice way to do this. Any recommendations?
Example:
Original Table:
ID | SITE1_X | SITE1_Y |SITE1_VAL | SITE2_X | SITE2_Y | SITE2_VAL | ... | extend_info
-------
1 | 0 | 0 | 5 | 1 | 1 | 10 | ... | n
2 | 0 | 0 | 3 | null | null | null | ... | n
3 | null | null | null | null | null | null | ... | y
current output:
ID | SITE | X | Y | VAL | extend_info
-------
1 | 1 | 0 | 0 | 5 | n
2 | 1 | 1 | 1 | 10 | n
3 | 2 | 0 | 0 | 3 | n
desired output:
ID | SITE | X | Y | VAL | extend_info
-------
1 | 1 | 0 | 0 | 5 | n
2 | 1 | 1 | 1 | 10 | n
3 | 2 | 0 | 0 | 3 | n
4 | | | | | y
I don't really care what is in SITE|X|Y|VAL in that case, can be 0 for everything or null.
Bonus question:
If extend_info is y I would like to join another table with this ID. The other table looks like this:
ID | F_ID | X | Y | VAL
-----
1 | 4 | 1 | 1 | 8
2 | 4 | 2 | 2 | 9
and in that case my final output table should look like:
ID | SITE | X | Y | VAL | X_OTHER_TABLE | Y_OTHER_TABLE
-------
1 | 1 | 0 | 0 | 5 |
2 | 1 | 1 | 1 | 10 |
3 | 2 | 0 | 0 | 3 |
4 | | | | 8 | 1 | 1
5 | | | | 9 | 2 | 2
I know... the database structure is super ugly but that is what a vendor provides us and we are trying to create a View to make it easier to perform some data analysis tasks on it.
It doesn't have to look 1:1 like my final example - but maybe my itention gets clear = I want to have one single table/view with all the information in a single format.
Thanks for any help!
I would recommend a lateral join:
SELECT s.id, u.*
FROM some_table s CROSS JOIN LATERAL
(SELECT s.SITE1_X as SITE_X, s.SITE1_Y as SITE_Y, s.SITE1_VAL as SITE_VAL FROM DUAL UNION ALL
SELECT s.SITE2_X, s.SITE2_Y, s.SITE2_VAL FROM DUAL UNION ALL
SELECT s.SITE3_X, s.SITE3_Y, s.SITE3_VAL FROM DUAL
) u;
You can just join additional tables to this as you like.
Suppose we have the following input table
cat | value | position
------------------------
1 | A | 1
1 | B | 2
1 | C | 3
1 | D | 4
2 | C | 1
2 | B | 2
2 | A | 3
2 | D | 4
As you can see, the values A,B,C,D change position in each category, I want to track this change by adding a column change in front of each value, the output should look like this:
cat | value | position | change
---------------------------------
1 | A | 1 | NULL
1 | B | 2 | NULL
1 | C | 3 | NULL
1 | D | 4 | NULL
2 | C | 1 | 2
2 | B | 2 | 0
2 | A | 3 | -2
2 | D | 4 | 0
For example C was in position 3 in category 1 and moved to position 1 in category 2 and therefore has a change of 2. I tried inmplementing this using the LAG() function with an offset of 4 but I failed, how can I write this query.
Use lag() - with the proper partition by clause:
select
t.*,
lag(position) over(partition by value order by cat) - position change
from mytable t
You can use lag and then order by to maintain original order. Here is the demo.
select
*,
lag(position) over (partition by value order by cat) - position as change
from yourTable
order by
cat, position
output:
| cat | value | position | change |
| --- | ----- | -------- | ------ |
| 1 | A | 1 | null |
| 1 | B | 2 | null |
| 1 | C | 3 | null |
| 1 | D | 4 | null |
| 2 | C | 1 | 2 |
| 2 | B | 2 | 0 |
| 2 | A | 3 | -2 |
| 2 | D | 4 | 0 |
I think you just want lag() with the right partition by:
select t.*,
(lag(position) over (partition by value order by cat) - position) as change
from t;
Here is a db<>fiddle.
I have a table that looks like this
+----+------------+------+
| ID | Session_ID | Type |
+----+------------+------+
| 1 | 1 | 2 |
| 2 | 1 | 4 |
| 3 | 1 | 2 |
| 4 | 2 | 2 |
| 5 | 2 | 2 |
| 6 | 3 | 2 |
| 7 | 3 | 1 |
+----+------------+------+
And I would like to count all occurences of a type that are in a sequence.
Output look some how like this:
+------------+------+-----+
| Session_ID | Type | cnt |
+------------+------+-----+
| 1 | 2 | 1 |
| 1 | 4 | 1 |
| 1 | 2 | 1 |
| 2 | 2 | 2 |
| 3 | 2 | 1 |
| 3 | 1 | 1 |
+------------+------+-----+
A simple group by like
SELECT session_id, type, COUNT(type)
FROM table
GROUP BY session_id, type
doesn't work, since I need to group only rows that are "touching".
Is this possible with a merge sql-select or will I need some sort of coding. Stored Procedure or Application side coding?
UPDATE Sequence:
If the following row has the same type, it should be counted (ordered by ID).
to determine the sequence the ID is the key with the session_ID, since I just want to group rows with the same session_ID.
So if there are 3 rows is in one session
row with the ID 1 has type 1,
and the second row has type 1
and row 3 has type 2
Input:
+----+------------+------+
| ID | Session_ID | Type |
+----+------------+------+
| 1 | 1 | 1 |
| 2 | 1 | 1 |
| 3 | 1 | 2 |
+----+------------+------+
The squence is Row 1 to Row 2. This three row should output
Output:
+------------+------+-------+
| Session_ID | Type | count |
+------------+------+-------+
| 1 | 1 | 2 |
| 3 | 2 | 1 |
+------------+------+-------+
You can use a difference of id and row_number() to identify the gaps and then perform your count
;with cte as
(
Select *, id - row_number() over (partition by session_id,type order by id) as grp
from table
)
select session_id,type,count(*) as cnt
from cte
group by session_id,type,grp
order by max(id)
I want to select from a table if row counts of similar filed is maximum depends on other columns.
As example
| user_id | team_id | isOk |
| 1 | 1 | 1 |
| 2 | 1 | 1 |
| 3 | 1 | 1 |
| 4 | 1 | 1 |
| 5 | 2 | 1 |
| 6 | 2 | 1 |
| 7 | 2 | 1 |
| 8 | 3 | 1 |
| 9 | 3 | 1 |
| 10 | 3 | 1 |
| 11 | 3 | 0 |
So i want to select team 1 and 2 because they all have 1 value at isOk Column,
i tried to use this query
SELECT Team
FROM _Table1
WHERE isOk= 1
GROUP BY Team
HAVING COUNT(*) > 3
But still i have to define a row count which can be maximum or not.
Thanks in advance.
Is this what you are looking for?
select team
from _table1
group by team
having min(isOk) = 1;