The Long data type in Amazon Redshift is used to store large numeric values that require precision beyond the capabilities of other data types such as integer or numeric. It is a fixed-point number with a maximum precision of 38 digits.
Creating Long Data Type Columns
To create a column with the Long data type in Redshift, you can use the following syntax:
CREATE TABLE my_table (
long_column_name LONG
);
The LONG keyword specifies that the column should be of type Long.
Inserting Values into Long Data Type Columns
To insert values into a Long data type column, you can use the standard INSERT statement:
INSERT INTO my_table (long_column_name)
VALUES (12345678901234567890);
In this example, we are inserting a large numeric value into the long_column_name column.
Retrieving Values from Long Data Type Columns
To retrieve values from a Long data type column, you can use a SELECT statement:
SELECT long_column_name
FROM my_table;
This will return the value stored in the long_column_name column.
Precision and Storage Considerations
The Long data type provides high precision for storing large numeric values. It is particularly useful when dealing with financial or scientific data that requires high accuracy and precision. However, it is important to note that using the Long data type may result in increased storage requirements compared to other numeric data types.
Conclusion
The Long data type in Amazon Redshift is a valuable tool for storing large numeric values that require high precision. By using the Long data type, you can ensure that your data is accurately represented and easily manipulated in your Redshift database.
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