sql query issue step by step












1















There are 3 relations:




  • person(id, first_name, original_surname, new_surname, birth_date)

  • marriage(m_id, w_id, date)

  • child_of(child_id, father_id, mother_id)


and the query for half siblings is:



(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (father_id)
where P1.mother_id < P2.mother_id
)
union
(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (mother_id)
where P1.father_id < P2.father_id
)


I am new to sql and I am trying to understand what happens "behind the scenes". Which table is created in the end and how the query finds half siblings.



Is P1 is created and then it joins with P2 and then they both join together and how does the where affect on the table?



What is the chronological order of things here, what happens first, second...










share|improve this question

























  • Your code does not create any tables. Are you asking how the result set is being built?

    – PM 77-1
    Nov 15 '18 at 17:57











  • In this case where serves as a join condition.

    – PM 77-1
    Nov 15 '18 at 18:02











  • What's will all those brackets???

    – Eric
    Nov 15 '18 at 18:06











  • @PM77-1 yes. I mean the tables that are there "behind the scenes"

    – Arthur
    Nov 15 '18 at 18:32
















1















There are 3 relations:




  • person(id, first_name, original_surname, new_surname, birth_date)

  • marriage(m_id, w_id, date)

  • child_of(child_id, father_id, mother_id)


and the query for half siblings is:



(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (father_id)
where P1.mother_id < P2.mother_id
)
union
(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (mother_id)
where P1.father_id < P2.father_id
)


I am new to sql and I am trying to understand what happens "behind the scenes". Which table is created in the end and how the query finds half siblings.



Is P1 is created and then it joins with P2 and then they both join together and how does the where affect on the table?



What is the chronological order of things here, what happens first, second...










share|improve this question

























  • Your code does not create any tables. Are you asking how the result set is being built?

    – PM 77-1
    Nov 15 '18 at 17:57











  • In this case where serves as a join condition.

    – PM 77-1
    Nov 15 '18 at 18:02











  • What's will all those brackets???

    – Eric
    Nov 15 '18 at 18:06











  • @PM77-1 yes. I mean the tables that are there "behind the scenes"

    – Arthur
    Nov 15 '18 at 18:32














1












1








1








There are 3 relations:




  • person(id, first_name, original_surname, new_surname, birth_date)

  • marriage(m_id, w_id, date)

  • child_of(child_id, father_id, mother_id)


and the query for half siblings is:



(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (father_id)
where P1.mother_id < P2.mother_id
)
union
(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (mother_id)
where P1.father_id < P2.father_id
)


I am new to sql and I am trying to understand what happens "behind the scenes". Which table is created in the end and how the query finds half siblings.



Is P1 is created and then it joins with P2 and then they both join together and how does the where affect on the table?



What is the chronological order of things here, what happens first, second...










share|improve this question
















There are 3 relations:




  • person(id, first_name, original_surname, new_surname, birth_date)

  • marriage(m_id, w_id, date)

  • child_of(child_id, father_id, mother_id)


and the query for half siblings is:



(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (father_id)
where P1.mother_id < P2.mother_id
)
union
(
select P1.id, P2.id
from (
person join child_of on id=child_id
) as P1
natural join (person join child_of on id=child_id) as P2
using (mother_id)
where P1.father_id < P2.father_id
)


I am new to sql and I am trying to understand what happens "behind the scenes". Which table is created in the end and how the query finds half siblings.



Is P1 is created and then it joins with P2 and then they both join together and how does the where affect on the table?



What is the chronological order of things here, what happens first, second...







sql postgresql






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 15 '18 at 17:58









a_horse_with_no_name

303k46463560




303k46463560










asked Nov 15 '18 at 17:52









ArthurArthur

286




286













  • Your code does not create any tables. Are you asking how the result set is being built?

    – PM 77-1
    Nov 15 '18 at 17:57











  • In this case where serves as a join condition.

    – PM 77-1
    Nov 15 '18 at 18:02











  • What's will all those brackets???

    – Eric
    Nov 15 '18 at 18:06











  • @PM77-1 yes. I mean the tables that are there "behind the scenes"

    – Arthur
    Nov 15 '18 at 18:32



















  • Your code does not create any tables. Are you asking how the result set is being built?

    – PM 77-1
    Nov 15 '18 at 17:57











  • In this case where serves as a join condition.

    – PM 77-1
    Nov 15 '18 at 18:02











  • What's will all those brackets???

    – Eric
    Nov 15 '18 at 18:06











  • @PM77-1 yes. I mean the tables that are there "behind the scenes"

    – Arthur
    Nov 15 '18 at 18:32

















Your code does not create any tables. Are you asking how the result set is being built?

– PM 77-1
Nov 15 '18 at 17:57





Your code does not create any tables. Are you asking how the result set is being built?

– PM 77-1
Nov 15 '18 at 17:57













In this case where serves as a join condition.

– PM 77-1
Nov 15 '18 at 18:02





In this case where serves as a join condition.

– PM 77-1
Nov 15 '18 at 18:02













What's will all those brackets???

– Eric
Nov 15 '18 at 18:06





What's will all those brackets???

– Eric
Nov 15 '18 at 18:06













@PM77-1 yes. I mean the tables that are there "behind the scenes"

– Arthur
Nov 15 '18 at 18:32





@PM77-1 yes. I mean the tables that are there "behind the scenes"

– Arthur
Nov 15 '18 at 18:32












1 Answer
1






active

oldest

votes


















1














Processing here won't go beyond the parser step, which will detect a syntax error in the query. Natural joins (which are best avoided) don't sport a USING clause.



But assuming that you mean INNER instead of NATURAL, the answer depends a lot on the amount and distribution of the data in the tables, as well as the configuration of the database.



Also, indexes on the tables have an influence on the answer.



There are many different ways to execute such a query, and the database engine will automatically select the one it thinks is fastest under the given circumstances.



You can use the EXPLAIN command to see which execution plan PostgreSQL chooses.






share|improve this answer
























  • Short but very good answer. Or better: short AND very good answer. :-)

    – johey
    Nov 15 '18 at 18:09













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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1














Processing here won't go beyond the parser step, which will detect a syntax error in the query. Natural joins (which are best avoided) don't sport a USING clause.



But assuming that you mean INNER instead of NATURAL, the answer depends a lot on the amount and distribution of the data in the tables, as well as the configuration of the database.



Also, indexes on the tables have an influence on the answer.



There are many different ways to execute such a query, and the database engine will automatically select the one it thinks is fastest under the given circumstances.



You can use the EXPLAIN command to see which execution plan PostgreSQL chooses.






share|improve this answer
























  • Short but very good answer. Or better: short AND very good answer. :-)

    – johey
    Nov 15 '18 at 18:09


















1














Processing here won't go beyond the parser step, which will detect a syntax error in the query. Natural joins (which are best avoided) don't sport a USING clause.



But assuming that you mean INNER instead of NATURAL, the answer depends a lot on the amount and distribution of the data in the tables, as well as the configuration of the database.



Also, indexes on the tables have an influence on the answer.



There are many different ways to execute such a query, and the database engine will automatically select the one it thinks is fastest under the given circumstances.



You can use the EXPLAIN command to see which execution plan PostgreSQL chooses.






share|improve this answer
























  • Short but very good answer. Or better: short AND very good answer. :-)

    – johey
    Nov 15 '18 at 18:09
















1












1








1







Processing here won't go beyond the parser step, which will detect a syntax error in the query. Natural joins (which are best avoided) don't sport a USING clause.



But assuming that you mean INNER instead of NATURAL, the answer depends a lot on the amount and distribution of the data in the tables, as well as the configuration of the database.



Also, indexes on the tables have an influence on the answer.



There are many different ways to execute such a query, and the database engine will automatically select the one it thinks is fastest under the given circumstances.



You can use the EXPLAIN command to see which execution plan PostgreSQL chooses.






share|improve this answer













Processing here won't go beyond the parser step, which will detect a syntax error in the query. Natural joins (which are best avoided) don't sport a USING clause.



But assuming that you mean INNER instead of NATURAL, the answer depends a lot on the amount and distribution of the data in the tables, as well as the configuration of the database.



Also, indexes on the tables have an influence on the answer.



There are many different ways to execute such a query, and the database engine will automatically select the one it thinks is fastest under the given circumstances.



You can use the EXPLAIN command to see which execution plan PostgreSQL chooses.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 15 '18 at 18:04









Laurenz AlbeLaurenz Albe

50.2k102950




50.2k102950













  • Short but very good answer. Or better: short AND very good answer. :-)

    – johey
    Nov 15 '18 at 18:09





















  • Short but very good answer. Or better: short AND very good answer. :-)

    – johey
    Nov 15 '18 at 18:09



















Short but very good answer. Or better: short AND very good answer. :-)

– johey
Nov 15 '18 at 18:09







Short but very good answer. Or better: short AND very good answer. :-)

– johey
Nov 15 '18 at 18:09






















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