I am trying to retrieve a list of each descendant with each item.
I am not sure I am making sense, I will try and explain.
Example Data:
ID | PID
--------
1 | 0
2 | 1
3 | 1
4 | 1
5 | 2
6 | 2
7 | 5
8 | 3
etc...
The desired results are:
ID | Decendant
--------------
1 | 1
1 | 2
1 | 3
1 | 4
...
2 | 2
2 | 5
2 | 6
2 | 7
3 | 3
3 | 8
etc...
This is currently being achieved by using a cursor to move through the data and inserting each descendant into a table and then selecting from them.
I was wondering if there was a better way to do these, there must be a way to right a query that would bring back the desired results.
If any one has ideas, or has figured this out before it would be very appreciated. Ordering is not important, nor is the 1 - 1, 2 -2 reference. It would be cool to have it, but not crucial.
select connect_by_root(id) as ID, id as Decendant
from table1
connect by prior id = pid
order by 1, 2
fiddle
Here is my attempt! Not sure, if I got you right!
select pid ,connect_By_root(id) as descendant from process
connect by id = prior pid
union all
select distinct pid,pid from
process
order by pid,descendant
Related
I have a question about Laravel - Eloquent….
I have a table that has (amongst other things)
id
name (varchar)
position (int)
parent (int) -> id of the parent page (which results in 0 when it is part of the main menu)
My goal didn’t seem to me as difficult but I don’t get it right….
I need to do the following:
Page in position 1
Child 1
Child 2
Page in position 2
Page in position 3
Child 1
Page in position 4
Example Table:
+----+--------+------+
| ID |Position|Parent|
+----+--------+------+
| 1 | 3 | 0 |
| 2 | 2 | 0 |
| 3 | 3 | 6 |
| 4 | 1 | 6 |
| 5 | 2 | 6 |
| 6 | 1 | 0 |
+----+--------+------+
Should result in:
6
- 4
- 5
- 3
2
1
In fact, in my first foreach, I should be able to do this:
if $page->children->count() > 0
I tried a lot of different things, in all ways possible but I don’t get to the result I want……
If someone has a solution for me, I will be happy and very grateful :D
Thank you in advance
If I understand the question correctly, you can read the table data in the controller and you can organize all the data in the view. In the view you can code two nested loops for the two levels you want to show.
Controller:
$items = $table->all();
return view('page', compact('items'));
View page.blade.php:
#foreach($items->where('parent', 0)->sortByDesc('id') as $menuFirstLevel)
{{$menuFirstLevel->id}}
#foreach($item->where('parent', $menuFirstLevel->id)->sortBy('foo-bar') as $menuSecondLevel)
{{$menuSecondLevel->id}}
#endif
#endif
I sell subscriptions of my online course, as well as the courses in retail.
I would bring the "top 5" of best selling plans / courses. For this, I have a table called "subscriptionPlan", which stores the purchased plan ID, or in the case of a course, the course ID, and the amount spent on this transaction. Example:
table subscriptionPlan
sbpId | subId | plaId | couId | sbpAmount
1 | 1 | 1 | 1 | 499.99
2 | 2 | 1 | 2 | 499.99
3 | 3 | 2 | 0 | 899.99
4 | 4 | 1 | 1 | 499.99
Just for educational purposes, plaId = 1 is a plan called "Single Sale" that I created, to maintain the integrity of the DB. When the couId isn't empty, you also have bought a separate course, not a plan where you can attend any course.
My need is: List the top 5 sales. If it is a plan, display the plan name (plan table, column plaTitle). If it is a course, display its name (table course, colna couTitle). This logic that I can't code. I was able to rank a top 5 of PLANS, but it groups the courses, since the GROUP BY is by the ID of the plan. I believe the prank is here, maybe creating an IF / ELSE in this GROUPBY, but I don't know how to do this.
The query that i code, to rank my top 5 plans is:
SELECT sp.plaId, sp.couId, p.plaTitle, p.plaPermanent, c.couTitle, SUM(sbpAmount) AS sbpTotalAmount
FROM subscriptionPlan sp
LEFT JOIN plan p ON sp.plaId = p.plaId
LEFT JOIN course c ON sp.couId = c.couId
GROUP BY sp.plaId
ORDER BY sbpTotalAmount DESC
LIMIT 5
The result that i expected was:
plaId | couId | plaTitle | couTitle | plaPermanent | sbpTotalAmount
1 | 1 | Venda avulsa | Curso 01 | true | 999.98
2 | 0 | Acesso total | null | false | 899.99
3 | 2 | Venda avulsa | Curso 02 | true | 499.99
How could I get into this query formula?
When grouping you can use:
Simple columns, or
Any [complex] expression.
In your case, it seems you need to group by an expression, such as:
GROUP BY CASE WHEN sp.plaId = 1 THEN -1 ELSE sp.couId END
In this case I chose -1 as the grouping for the "Single Plan". You can replace the value for any other that doesn't match any couId.
I am trying to expand a data set to include dates outside of the current range.
The data I have ranges from 1992q1 to 2017q1. Each observation exists within a portion of that larger window, for example from 1993q2 to 1997q1.
I need to create quarterly observations for each range to fill the missing time. I have already expanded the existing data into quarters.
What I cannot figure out how to do is add in those missing quarters. For example, country1 may have the dates 1993q2 to 1997q1. I need to add in the missing dates from 1992q1 to 1993q1 and 1997q2 to 2017q1.
A very simple analogue of I want I think is your question is shown by this sandbox dataset.
clear
set obs 10
gen id = cond(_n < 7, 1, 2)
gen qdate = yq(1992, 1) in 1
replace qdate = yq(1992, 3) in 7
bysort id (qdate) : replace qdate = qdate[_n-1] + 1 if missing(qdate)
format qdate %tq
list, sepby(id)
+-------------+
| id qdate |
|-------------|
1. | 1 1992q1 |
2. | 1 1992q2 |
3. | 1 1992q3 |
4. | 1 1992q4 |
5. | 1 1993q1 |
6. | 1 1993q2 |
|-------------|
7. | 2 1992q3 |
8. | 2 1992q4 |
9. | 2 1993q1 |
10. | 2 1993q2 |
+-------------+
fillin id qdate
list, sepby(id)
+-----------------------+
| id qdate _fillin |
|-----------------------|
1. | 1 1992q1 0 |
2. | 1 1992q2 0 |
3. | 1 1992q3 0 |
4. | 1 1992q4 0 |
5. | 1 1993q1 0 |
6. | 1 1993q2 0 |
|-----------------------|
7. | 2 1992q1 1 |
8. | 2 1992q2 1 |
9. | 2 1992q3 0 |
10. | 2 1992q4 0 |
11. | 2 1993q1 0 |
12. | 2 1993q2 0 |
+-----------------------+
So. fillin is a simple way of ensuring that all cross-combinations of identifier and time are present. However, to what benefit? Although not shown in this example, values of other variables spring into existence only as missing values. In some situations, proceeding with interpolation is justified, but usually, you just live with incomplete panels.
How to find solutions like these? One good strategy is to skim through the [D] manual to see what basic data management commands exist.
I'm trying to use this recursive SQL feature but can't get it to do what I want, not even close. I've coded up the logic in an unrolled loop, asking if it can be converted into a single recursive SQL query, not the table update style I've used.
http://sqlfiddle.com/#!4/b7217/1
There are six players to be ranked. They have id, group id, score and rank.
Initial state
+----+--------+-------+--------+
| id | grp_id | score | rank |
+----+--------+-------+--------+
| 1 | 1 | 100 | (null) |
| 2 | 1 | 90 | (null) |
| 3 | 1 | 70 | (null) |
| 4 | 2 | 95 | (null) |
| 5 | 2 | 70 | (null) |
| 6 | 2 | 60 | (null) |
+----+--------+-------+--------+
I want to take the person with the highest initial score and give them rank 1. Then I apply 10 bonus points to the score of everyone who has the same group id. Take the next highest, assign rank 2, distribute bonus points and so on until there are no players left.
User id breaks ties.
The bonus points changes the ranking. id=4 initially appears to be second placed with 95, behind the leader with 100 but with the 10 pts bonus, id=2 moves up and takes the spot.
Final state
+-----+---------+--------+------+
| ID | GRP_ID | SCORE | RANK |
+-----+---------+--------+------+
| 1 | 1 | 100 | 1 |
| 2 | 1 | 100 | 2 |
| 4 | 2 | 95 | 3 |
| 3 | 1 | 90 | 4 |
| 5 | 2 | 80 | 5 |
| 6 | 2 | 80 | 6 |
+-----+---------+--------+------+
This is a quite a bit late, but I'm not sure this can be done using Recursive CTE. I did however come up with a solution using the MODEL clause:
WITH SAMPLE (ID,GRP_ID,SCORE,RANK) AS (
SELECT 1,1,100,NULL FROM DUAL UNION
SELECT 2,1,90,NULL FROM DUAL UNION
SELECT 3,1,70,NULL FROM DUAL UNION
SELECT 4,2,95,NULL FROM DUAL UNION
SELECT 5,2,70,NULL FROM DUAL UNION
SELECT 6,2,60,NULL FROM DUAL)
SELECT ID,GRP_ID,SCORE,RANK FROM SAMPLE
MODEL
DIMENSION BY (ID,GRP_ID)
MEASURES (SCORE,0 RANK,0 LAST_RANKED_GRP,0 ITEM_COUNT,0 HAS_RANK)
RULES
ITERATE (1000) UNTIL (ITERATION_NUMBER = ITEM_COUNT[1,1]) --ITERATE ONCE FOR EACH ITEM TO BE RANKED
(
RANK[ANY,ANY] = CASE WHEN SCORE[CV(),CV()] = MAX(SCORE) OVER (PARTITION BY HAS_RANK) THEN RANK() OVER (ORDER BY SCORE DESC,ID) ELSE RANK[CV(),CV()] END, --IF THE CURRENT ITEM SCORE IS EQUAL TO THE MAX SCORE OF UNRANKED, ASSIGN A RANK
LAST_RANKED_GRP[ANY,ANY] = FIRST_VALUE(GRP_ID) OVER (ORDER BY RANK DESC),
SCORE[ANY,ANY] = CASE WHEN RANK[CV(),CV()] = 0 AND CV(GRP_ID) = LAST_RANKED_GRP[CV(),CV()] THEN SCORE[CV(),CV()]+10 ELSE SCORE[CV(),CV()] END,
ITEM_COUNT[ANY,ANY] = COUNT(*) OVER (),
HAS_RANK[ANY,ANY] = CASE WHEN RANK[CV(),CV()] <> 0 THEN 1 ELSE 0 END --TO SEPARATE RANKED/UNRANKED ITEMS
)
ORDER BY RANK;
It's not very pretty, and I suspect there is a better way to go about this, but it does give the expected output.
Caveats:
You'd have to increase the iteration count if you have more than that number of rows.
This does a full re-ranking based on the score after each iteration. So if we took your sample data, but changed the initial score of item 2 to 95 rather than 90: after ranking item 1 and giving the 10 point bonus to item 2, it now has a score of 105. So we rank it as 1st and move item 1 down to 2nd. You'd have to make a few modifications if this is not the desired behavior.
I have requirement to emit all records corresponds to a group, only when a condition is met. Below is the sample data set with alias name as "SAMPLE_DATA".
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
3 | 3 | 1
3 | 2 | 2
4 | 5 | 1
4 | 6 | 2
SAMPLE_DATA_GRP = GROUP SAMPLE_DATA BY Col-1;
RESULT = FOREACH SAMPLE_DATA_GRP {
max_value = MAX(SAMPLE_DATA.Col-2);
IF(max_value >= 5)
GENERATE ALL RECORDS IN THAT GROUP;
}
RESULT should be:
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
---- ---- ---
4 | 5 | 1
4 | 6 | 2
Two groups got generated. First group is generate because max value of 4,5 is "5"(which meets our condition >=5). Same for second group (6 >= 5).
As I would be performing this operation on big dataset operations like distinct and join would be overkill. For this reason I have come up with pseudo code with one grouping to perform this operation.
Hope I have provided enough information. Thanks in advance.
I would be performing this operation on a huge data set. Doing operation like distinct and join would be overkill on the system. For this reason I have come up with this grouping approach.
Please try the below code and see..
This solution is little lengthy ,but it will work
numbers = LOAD '/home/user/inputfiles/c1.txt' USING PigStorage(',') AS(c1:int,c2:int,c3:int);
num_grp = GROUP numbers by c1;
num_each = FOREACH num_grp
{
max_each = MAX(numbers.c2);
generate flatten(group) as temp_c1, (max_each >= 5 ?1 :0) as indicator;
};
num_each_filtered = filter num_each BY indicator == 1;
num_joined = join numbers BY c1,num_each_filtered by tem_c1;
num_output = FOREACH num_joined GENERATE c1,c2,c3;
dump num_output;
O/p:
Col-1 | Col-2 | Col-3
-------------------------
2 | 4 | 1
2 | 5 | 2
---- ---- ---
4 | 5 | 1
4 | 6 | 2