Database optimization for x,y coordinates
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Let's say I have a database structure with columns x, y, backgroundID, itemID.
Imagine I have 100 millions lines where backgroundID has always a value, but itemID has a value only for 10000 lines.
There will be a lot of range requests (x < ? AND x > ? AND y < ? AND y > X), a lot of exact line request (x = ? and y = ?) and really few insertions.
What is the best way to index the database ? Index on x, index on y, index on both x and y ?
And now, what if I need to request often the lines where itemID is not null (let's say only 10 000 lines). Is it better to create a second separate table that store only x, y and itemID ?
Update to answer Mehdi El Fadil : I'm not still fixed on wich RDBMS I will use, I was thinking of a simple MySQL Workbench 6.3, InnoDB for exemple.
database performance indexing
asked Nov 8 at 11:25
Silvère
12
add a comment |
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0
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Let's say I have a database structure with columns x, y, backgroundID, itemID.
Imagine I have 100 millions lines where backgroundID has always a value, but itemID has a value only for 10000 lines.
There will be a lot of range requests (x < ? AND x > ? AND y < ? AND y > X), a lot of exact line request (x = ? and y = ?) and really few insertions.
What is the best way to index the database ? Index on x, index on y, index on both x and y ?
And now, what if I need to request often the lines where itemID is not null (let's say only 10 000 lines). Is it better to create a second separate table that store only x, y and itemID ?
Update to answer Mehdi El Fadil : I'm not still fixed on wich RDBMS I will use, I was thinking of a simple MySQL Workbench 6.3, InnoDB for exemple.
database performance indexing
asked Nov 8 at 11:25
Silvère
12
Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Let's say I have a database structure with columns x, y, backgroundID, itemID.
Imagine I have 100 millions lines where backgroundID has always a value, but itemID has a value only for 10000 lines.
There will be a lot of range requests (x < ? AND x > ? AND y < ? AND y > X), a lot of exact line request (x = ? and y = ?) and really few insertions.
What is the best way to index the database ? Index on x, index on y, index on both x and y ?
And now, what if I need to request often the lines where itemID is not null (let's say only 10 000 lines). Is it better to create a second separate table that store only x, y and itemID ?
Update to answer Mehdi El Fadil : I'm not still fixed on wich RDBMS I will use, I was thinking of a simple MySQL Workbench 6.3, InnoDB for exemple.
database performance indexing
asked Nov 8 at 11:25
Silvère
12
Let's say I have a database structure with columns x, y, backgroundID, itemID.
Imagine I have 100 millions lines where backgroundID has always a value, but itemID has a value only for 10000 lines.
There will be a lot of range requests (x < ? AND x > ? AND y < ? AND y > X), a lot of exact line request (x = ? and y = ?) and really few insertions.
What is the best way to index the database ? Index on x, index on y, index on both x and y ?
And now, what if I need to request often the lines where itemID is not null (let's say only 10 000 lines). Is it better to create a second separate table that store only x, y and itemID ?
Update to answer Mehdi El Fadil : I'm not still fixed on wich RDBMS I will use, I was thinking of a simple MySQL Workbench 6.3, InnoDB for exemple.
database performance indexing
database performance indexing
asked Nov 8 at 11:25
Silvère
12
asked Nov 8 at 11:25
Silvère
12
edited Nov 8 at 13:08
asked Nov 8 at 11:25
Silvère
12
asked Nov 8 at 11:25
Silvère
12
asked Nov 8 at 11:25
Silvère
12
12
Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02
add a comment |
Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02
Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02
Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02
add a comment |
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Hi Silvère, could you update the question and add which RDBMS and version you are using? depending on these, specific solutions may be found (e.g. partitioning)
– Mehdi
Nov 8 at 12:02