Cities and States (a few data): single table or splitted?
I am designing a DB schema and I need to store cities and states. I expect only a few rows, let's say, 20 cities. Example:
id | city | state
1 | Rio de Janeiro | RJ
2 | Niteroi | RJ
3 | Cabo Frio | RJ
4 | Nova Friburgo | RJ
5 | Campos | RJ
6 | São Paulo | SP
7 | Santos | SP
8 | Santo André | SP
As I said, less than 20 cities and only 2 or 3 states ( CHAR(2) ). Regarding performance, which is the best: A single table like the above example, or 2 tables with relationship between both?
PS: I'm not expecting any SELECT ... WHERE 'state'... I'll only select by city and then display which state it belongs to.
Thanks
mysql select foreign-key primary-key
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
I am designing a DB schema and I need to store cities and states. I expect only a few rows, let's say, 20 cities. Example:
id | city | state
1 | Rio de Janeiro | RJ
2 | Niteroi | RJ
3 | Cabo Frio | RJ
4 | Nova Friburgo | RJ
5 | Campos | RJ
6 | São Paulo | SP
7 | Santos | SP
8 | Santo André | SP
As I said, less than 20 cities and only 2 or 3 states ( CHAR(2) ). Regarding performance, which is the best: A single table like the above example, or 2 tables with relationship between both?
PS: I'm not expecting any SELECT ... WHERE 'state'... I'll only select by city and then display which state it belongs to.
Thanks
mysql select foreign-key primary-key
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27
add a comment |
I am designing a DB schema and I need to store cities and states. I expect only a few rows, let's say, 20 cities. Example:
id | city | state
1 | Rio de Janeiro | RJ
2 | Niteroi | RJ
3 | Cabo Frio | RJ
4 | Nova Friburgo | RJ
5 | Campos | RJ
6 | São Paulo | SP
7 | Santos | SP
8 | Santo André | SP
As I said, less than 20 cities and only 2 or 3 states ( CHAR(2) ). Regarding performance, which is the best: A single table like the above example, or 2 tables with relationship between both?
PS: I'm not expecting any SELECT ... WHERE 'state'... I'll only select by city and then display which state it belongs to.
Thanks
mysql select foreign-key primary-key
I am designing a DB schema and I need to store cities and states. I expect only a few rows, let's say, 20 cities. Example:
id | city | state
1 | Rio de Janeiro | RJ
2 | Niteroi | RJ
3 | Cabo Frio | RJ
4 | Nova Friburgo | RJ
5 | Campos | RJ
6 | São Paulo | SP
7 | Santos | SP
8 | Santo André | SP
As I said, less than 20 cities and only 2 or 3 states ( CHAR(2) ). Regarding performance, which is the best: A single table like the above example, or 2 tables with relationship between both?
PS: I'm not expecting any SELECT ... WHERE 'state'... I'll only select by city and then display which state it belongs to.
Thanks
mysql select foreign-key primary-key
mysql select foreign-key primary-key
edited Jan 6 '16 at 2:24
miracle173
6,5671838
6,5671838
asked Jan 6 '16 at 0:27
gugabguerragugabguerra
1112
1112
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
1
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27
add a comment |
1
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27
1
1
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27
add a comment |
1 Answer
1
active
oldest
votes
CHAR(2) CHARACTER SET latin1
takes only 2 bytes. You are not going to improve significantly on that by using an id TINYINT UNSIGNED
(1 byte) to 'normalize' it.
Splitting into 2 tables is something I call "over-normalizing".
JOINs
are pretty cheap, but they are not free. This is a disadvantage of the 2-table approach.
While you are asking this question, I suggest you implement it both ways, see how big the tables are, see how fast the queries are, etc. Use it as a learning exercise.
Yes, there will be other cases where 2 tables is better.
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
:) Even in the case of a separate table for States, I would argue for the key to beRJ
,SP
, etc, not1
,2
, etc.
– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
add a comment |
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1 Answer
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CHAR(2) CHARACTER SET latin1
takes only 2 bytes. You are not going to improve significantly on that by using an id TINYINT UNSIGNED
(1 byte) to 'normalize' it.
Splitting into 2 tables is something I call "over-normalizing".
JOINs
are pretty cheap, but they are not free. This is a disadvantage of the 2-table approach.
While you are asking this question, I suggest you implement it both ways, see how big the tables are, see how fast the queries are, etc. Use it as a learning exercise.
Yes, there will be other cases where 2 tables is better.
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
:) Even in the case of a separate table for States, I would argue for the key to beRJ
,SP
, etc, not1
,2
, etc.
– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
add a comment |
CHAR(2) CHARACTER SET latin1
takes only 2 bytes. You are not going to improve significantly on that by using an id TINYINT UNSIGNED
(1 byte) to 'normalize' it.
Splitting into 2 tables is something I call "over-normalizing".
JOINs
are pretty cheap, but they are not free. This is a disadvantage of the 2-table approach.
While you are asking this question, I suggest you implement it both ways, see how big the tables are, see how fast the queries are, etc. Use it as a learning exercise.
Yes, there will be other cases where 2 tables is better.
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
:) Even in the case of a separate table for States, I would argue for the key to beRJ
,SP
, etc, not1
,2
, etc.
– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
add a comment |
CHAR(2) CHARACTER SET latin1
takes only 2 bytes. You are not going to improve significantly on that by using an id TINYINT UNSIGNED
(1 byte) to 'normalize' it.
Splitting into 2 tables is something I call "over-normalizing".
JOINs
are pretty cheap, but they are not free. This is a disadvantage of the 2-table approach.
While you are asking this question, I suggest you implement it both ways, see how big the tables are, see how fast the queries are, etc. Use it as a learning exercise.
Yes, there will be other cases where 2 tables is better.
CHAR(2) CHARACTER SET latin1
takes only 2 bytes. You are not going to improve significantly on that by using an id TINYINT UNSIGNED
(1 byte) to 'normalize' it.
Splitting into 2 tables is something I call "over-normalizing".
JOINs
are pretty cheap, but they are not free. This is a disadvantage of the 2-table approach.
While you are asking this question, I suggest you implement it both ways, see how big the tables are, see how fast the queries are, etc. Use it as a learning exercise.
Yes, there will be other cases where 2 tables is better.
answered Jan 6 '16 at 0:48
Rick JamesRick James
43.6k22259
43.6k22259
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
:) Even in the case of a separate table for States, I would argue for the key to beRJ
,SP
, etc, not1
,2
, etc.
– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
add a comment |
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
:) Even in the case of a separate table for States, I would argue for the key to beRJ
,SP
, etc, not1
,2
, etc.
– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
1
1
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
Thanks! I agree with you in all aspects. 2 tables will demand more work to the programmer and brings no practical improvement for the DB. Over-normalizing was perfect (lol) ! I have pretty much the same information but in the oposite situation in another software: lots of select statements by 'state' column to find state's full name, some other information and cities belonging to it... so in this case 2 table is better. Then I'll also take your suggestion and implement both ways as a learning exercise. Thanks!!
– gugabguerra
Jan 6 '16 at 1:14
1
1
:) Even in the case of a separate table for States, I would argue for the key to be
RJ
, SP
, etc, not 1
, 2
, etc.– Rick James
Jan 6 '16 at 3:57
:) Even in the case of a separate table for States, I would argue for the key to be
RJ
, SP
, etc, not 1
, 2
, etc.– Rick James
Jan 6 '16 at 3:57
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
Good point! I'll check it out.
– gugabguerra
Jan 6 '16 at 5:45
add a comment |
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1
It depends entirely on what you do with them. But in any event, you should not be doing DB design worrying about performance at this step. You design the DB first, according to the data relations. Do this right and the performance will take care of itself 90% of the time. Only later when you know if you have a performance problem, should you start worrying about it.
– RBarryYoung
Jan 6 '16 at 0:35
When the table contains very few rows and does not change frequently you can denormalize it and use single table instead of two. You can add a new data field geo_level to choose between the state level or city level, if you need it in future.
– rathishDBA
Jan 6 '16 at 6:27