How to hold different data with several same fields?
We want to store information about bank's credits but this information changes from bank to bank (for some banks user's id is important for others not). We are going to create one huge table and store all values from all banks there. Is for some bank fields is mandatory we will store actual value on the other hand if this field does not mean much we will store default value. But we see another way out, to create many small tables for each bank, but this decision seems to be very difficult to handle in the feature.
Could you give an advise
database-design relational-database
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
add a comment |
We want to store information about bank's credits but this information changes from bank to bank (for some banks user's id is important for others not). We are going to create one huge table and store all values from all banks there. Is for some bank fields is mandatory we will store actual value on the other hand if this field does not mean much we will store default value. But we see another way out, to create many small tables for each bank, but this decision seems to be very difficult to handle in the feature.
Could you give an advise
database-design relational-database
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
add a comment |
We want to store information about bank's credits but this information changes from bank to bank (for some banks user's id is important for others not). We are going to create one huge table and store all values from all banks there. Is for some bank fields is mandatory we will store actual value on the other hand if this field does not mean much we will store default value. But we see another way out, to create many small tables for each bank, but this decision seems to be very difficult to handle in the feature.
Could you give an advise
database-design relational-database
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
We want to store information about bank's credits but this information changes from bank to bank (for some banks user's id is important for others not). We are going to create one huge table and store all values from all banks there. Is for some bank fields is mandatory we will store actual value on the other hand if this field does not mean much we will store default value. But we see another way out, to create many small tables for each bank, but this decision seems to be very difficult to handle in the feature.
Could you give an advise
database-design relational-database
database-design relational-database
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
edited Nov 19 '18 at 15:48
a_horse_with_no_name
297k46452547
297k46452547
asked Nov 19 '18 at 14:52
GGGGGG
5717
asked Nov 19 '18 at 14:52
GGGGGG
5717
asked Nov 19 '18 at 14:52
GGGGGG
5717
5717
add a comment |
add a comment |
1 Answer
1
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votes
You need to create one table having a bank_id column as a discriminator.
However, if the table is expected to be really huge (hundred of millions rows) you still can optimize the queries which affect only one bank: the solution is the table partitioning on the same column bank_id.
answered Nov 19 '18 at 15:45
sergeserge
60047
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You need to create one table having a bank_id column as a discriminator.
However, if the table is expected to be really huge (hundred of millions rows) you still can optimize the queries which affect only one bank: the solution is the table partitioning on the same column bank_id.
answered Nov 19 '18 at 15:45
sergeserge
60047
add a comment |
You need to create one table having a bank_id column as a discriminator.
However, if the table is expected to be really huge (hundred of millions rows) you still can optimize the queries which affect only one bank: the solution is the table partitioning on the same column bank_id.
answered Nov 19 '18 at 15:45
sergeserge
60047
add a comment |
You need to create one table having a bank_id column as a discriminator.
However, if the table is expected to be really huge (hundred of millions rows) you still can optimize the queries which affect only one bank: the solution is the table partitioning on the same column bank_id.
answered Nov 19 '18 at 15:45
sergeserge
60047
You need to create one table having a bank_id column as a discriminator.
However, if the table is expected to be really huge (hundred of millions rows) you still can optimize the queries which affect only one bank: the solution is the table partitioning on the same column bank_id.
answered Nov 19 '18 at 15:45
sergeserge
60047
edited Nov 19 '18 at 15:53
answered Nov 19 '18 at 15:45
sergeserge
60047
answered Nov 19 '18 at 15:45
sergeserge
60047
answered Nov 19 '18 at 15:45
sergeserge
60047
60047
add a comment |
add a comment |
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