what are the consequences of changing a field size
1. Database it's case sensitive 2. If database was cape chart using particular size must be maintain
A database is only limited by the media used to store it ! for example the capacity of a hard-disk.
One must customize the field to change the parameters if one wishes to have excess data. That will increase the size of the field, and therefore give the user more room to input more data than originally planned.
No, because everything in the universe has a different number of atoms present (the mass) and every planet has a different 'g' (gravitational field strength) depending on it's size.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
1. Database it's case sensitive 2. If database was cape chart using particular size must be maintain
Changing a field size in a database table can impact existing data integrity, causing data truncation or loss if the new size is smaller. It can also affect queries or application logic that rely on the original field size, potentially leading to errors or inconsistencies. Additionally, altering a field size may require additional system resources or maintenance to accommodate the change.
Changing a field size can impact the amount of data that can be stored in that field. Increasing the field size may allow for larger data to be stored without truncation, but it can also increase storage requirements. Decreasing the field size may lead to data loss if existing data exceeds the new size limit.
What characteristics could a database field have, such as data type, field name, field size and field format?
Field size defines the maximum number of characters or numbers that a particular field can hold
No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.
database structure depends on the business requirement and size of database. database structure depends on the business requirement and size of database.
Yes. The default sizes are configured by default in the database or can be specified using the CREATE TABLE or ALTER TABLE commands
Efficiency in design is very important to a database. Properly set field types and sizes are critical in the scalability and performance of a database. As an example a varchar default is a field size of 50 characters. Now if you have a State field that will always contain two characters then a default size of 50 characters would be a big inefficiency. The actual data size stored is slightly padded and the efficiency of your indexes would be degraded as well. Another consideration is field types. Using a varchar where numeric data is stored is probably one of the biggest mistakes made as far as field definitions are concerned.
In a database, a "record" is a collection of fields and all records in a "flat" databse are the same size and name, but with different data. In a relational database, a field can be a key to another table of records. A field is one data item, an index (or Key), a date, a name, etc. A record: Index,Name,Date,Acount A field: Name
A database is only limited by the media used to store it ! for example the capacity of a hard-disk.
The data dictionary contains information about each file in the database, including the structure, properties, and location of each file. It also includes information about each field within those files, such as the data type, size, and constraints associated with each field. The data dictionary acts as a centralized repository of metadata that helps in managing and understanding the database schema and data.