Oracle random segments select











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I would like to select the following segment.



Random 5500 rows including the following segments:
Subcategorie (sex): - 3300 men
- 2200 women
Subcategorie (age): - 2140 between 18-34 years
- 2100 between 35-54 years
- 1260 between 55-99 years


How could I solve this in a select statement?










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  • 2




    I think you need more explanation. How do you return a fractional number of men, for example?
    – Gordon Linoff
    Nov 22 at 15:25















up vote
0
down vote

favorite












I would like to select the following segment.



Random 5500 rows including the following segments:
Subcategorie (sex): - 3300 men
- 2200 women
Subcategorie (age): - 2140 between 18-34 years
- 2100 between 35-54 years
- 1260 between 55-99 years


How could I solve this in a select statement?










share|improve this question




















  • 2




    I think you need more explanation. How do you return a fractional number of men, for example?
    – Gordon Linoff
    Nov 22 at 15:25













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I would like to select the following segment.



Random 5500 rows including the following segments:
Subcategorie (sex): - 3300 men
- 2200 women
Subcategorie (age): - 2140 between 18-34 years
- 2100 between 35-54 years
- 1260 between 55-99 years


How could I solve this in a select statement?










share|improve this question















I would like to select the following segment.



Random 5500 rows including the following segments:
Subcategorie (sex): - 3300 men
- 2200 women
Subcategorie (age): - 2140 between 18-34 years
- 2100 between 35-54 years
- 1260 between 55-99 years


How could I solve this in a select statement?







sql oracle select analytics






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share|improve this question













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share|improve this question








edited Nov 22 at 17:37









APC

117k15115229




117k15115229










asked Nov 22 at 15:20









Dávid Mészáros

6




6








  • 2




    I think you need more explanation. How do you return a fractional number of men, for example?
    – Gordon Linoff
    Nov 22 at 15:25














  • 2




    I think you need more explanation. How do you return a fractional number of men, for example?
    – Gordon Linoff
    Nov 22 at 15:25








2




2




I think you need more explanation. How do you return a fractional number of men, for example?
– Gordon Linoff
Nov 22 at 15:25




I think you need more explanation. How do you return a fractional number of men, for example?
– Gordon Linoff
Nov 22 at 15:25












1 Answer
1






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up vote
2
down vote













The problem is, you use the word "random" but you have a very precise break down of cohorts by age and sex. A truly random single query won't produce such exact quotas. So your query must necessarily be complicated: you need to divide the whole table into subsets which meet your constraints then randomly select from those subsets. Something like this...



select * from (
select * from whatever
where sex = 'M'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 1284
union all
select * from (
select * from whatever
where sex = 'M'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 1260
union all select * from (
select * from whatever
where sex = 'M'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 756
union all
select * from (
select * from whatever
where sex = 'F'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 856
union all
select * from (
select * from whatever
where sex = 'F'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 840
union all select * from (
select * from whatever
where sex = 'F'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 504


This may perform poorly, depending on the usual factors - size of table, indexing, etc - but it will produce those exact cohorts.



In case it's not obvious, the rownum bounds are the number of hits in each age group multiplied by the ratio of men to women (3:2).






share|improve this answer























  • Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
    – Dávid Mészáros
    Nov 27 at 9:24










  • Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
    – APC
    Nov 27 at 10:13











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes








up vote
2
down vote













The problem is, you use the word "random" but you have a very precise break down of cohorts by age and sex. A truly random single query won't produce such exact quotas. So your query must necessarily be complicated: you need to divide the whole table into subsets which meet your constraints then randomly select from those subsets. Something like this...



select * from (
select * from whatever
where sex = 'M'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 1284
union all
select * from (
select * from whatever
where sex = 'M'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 1260
union all select * from (
select * from whatever
where sex = 'M'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 756
union all
select * from (
select * from whatever
where sex = 'F'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 856
union all
select * from (
select * from whatever
where sex = 'F'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 840
union all select * from (
select * from whatever
where sex = 'F'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 504


This may perform poorly, depending on the usual factors - size of table, indexing, etc - but it will produce those exact cohorts.



In case it's not obvious, the rownum bounds are the number of hits in each age group multiplied by the ratio of men to women (3:2).






share|improve this answer























  • Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
    – Dávid Mészáros
    Nov 27 at 9:24










  • Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
    – APC
    Nov 27 at 10:13















up vote
2
down vote













The problem is, you use the word "random" but you have a very precise break down of cohorts by age and sex. A truly random single query won't produce such exact quotas. So your query must necessarily be complicated: you need to divide the whole table into subsets which meet your constraints then randomly select from those subsets. Something like this...



select * from (
select * from whatever
where sex = 'M'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 1284
union all
select * from (
select * from whatever
where sex = 'M'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 1260
union all select * from (
select * from whatever
where sex = 'M'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 756
union all
select * from (
select * from whatever
where sex = 'F'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 856
union all
select * from (
select * from whatever
where sex = 'F'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 840
union all select * from (
select * from whatever
where sex = 'F'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 504


This may perform poorly, depending on the usual factors - size of table, indexing, etc - but it will produce those exact cohorts.



In case it's not obvious, the rownum bounds are the number of hits in each age group multiplied by the ratio of men to women (3:2).






share|improve this answer























  • Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
    – Dávid Mészáros
    Nov 27 at 9:24










  • Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
    – APC
    Nov 27 at 10:13













up vote
2
down vote










up vote
2
down vote









The problem is, you use the word "random" but you have a very precise break down of cohorts by age and sex. A truly random single query won't produce such exact quotas. So your query must necessarily be complicated: you need to divide the whole table into subsets which meet your constraints then randomly select from those subsets. Something like this...



select * from (
select * from whatever
where sex = 'M'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 1284
union all
select * from (
select * from whatever
where sex = 'M'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 1260
union all select * from (
select * from whatever
where sex = 'M'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 756
union all
select * from (
select * from whatever
where sex = 'F'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 856
union all
select * from (
select * from whatever
where sex = 'F'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 840
union all select * from (
select * from whatever
where sex = 'F'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 504


This may perform poorly, depending on the usual factors - size of table, indexing, etc - but it will produce those exact cohorts.



In case it's not obvious, the rownum bounds are the number of hits in each age group multiplied by the ratio of men to women (3:2).






share|improve this answer














The problem is, you use the word "random" but you have a very precise break down of cohorts by age and sex. A truly random single query won't produce such exact quotas. So your query must necessarily be complicated: you need to divide the whole table into subsets which meet your constraints then randomly select from those subsets. Something like this...



select * from (
select * from whatever
where sex = 'M'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 1284
union all
select * from (
select * from whatever
where sex = 'M'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 1260
union all select * from (
select * from whatever
where sex = 'M'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 756
union all
select * from (
select * from whatever
where sex = 'F'
and age between 18 and 34
order by dbms_random.value
)
where rownum <= 856
union all
select * from (
select * from whatever
where sex = 'F'
and age between 35 and 54
order by dbms_random.value
)
where rownum <= 840
union all select * from (
select * from whatever
where sex = 'F'
and age between 55 and 99
order by dbms_random.value
)
where rownum <= 504


This may perform poorly, depending on the usual factors - size of table, indexing, etc - but it will produce those exact cohorts.



In case it's not obvious, the rownum bounds are the number of hits in each age group multiplied by the ratio of men to women (3:2).







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 27 at 10:11

























answered Nov 22 at 17:46









APC

117k15115229




117k15115229












  • Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
    – Dávid Mészáros
    Nov 27 at 9:24










  • Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
    – APC
    Nov 27 at 10:13


















  • Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
    – Dávid Mészáros
    Nov 27 at 9:24










  • Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
    – APC
    Nov 27 at 10:13
















Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
– Dávid Mészáros
Nov 27 at 9:24




Yes, I used the word "random", because there are 2 million people in the table and I would select randomly the following segments. It will be a selection for marketing.
– Dávid Mészáros
Nov 27 at 9:24












Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
– APC
Nov 27 at 10:13




Yes, I understand the question. I was trying to point that you can't produce such a precise outcome from a single truly random query.
– APC
Nov 27 at 10:13


















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