How to optimize date transformation in oracle sql?

@shyann 

1. Use the TO_DATE function: When transforming a string format into a date format in Oracle SQL, use the TO_DATE function. This function converts a string to a date using a specified format mask. By providing the format mask, you can ensure that the transformation is done correctly.
2. Index date columns: If you frequently perform transformations on date columns in your queries, consider adding an index on those columns. Indexing date columns can significantly improve query performance when filtering or sorting by dates.
3. Use date functions: Oracle SQL provides a variety of date functions that can be used to manipulate date values. Functions like ADD_MONTHS, TRUNC, and EXTRACT can be helpful in transforming dates into the desired format.
4. Limit date conversions: Try to limit the number of date conversions in your SQL queries. If possible, perform the date transformation once and store the result in a temporary table or a subquery, rather than repeatedly converting dates in multiple parts of the query.
5. Use bind variables: If you are passing date values as input parameters in your queries, consider using bind variables. Bind variables can improve query performance by reducing the amount of parsing and optimization that Oracle has to do for each query execution.
6. Avoid implicit conversions: When working with dates in Oracle SQL, be cautious of implicit conversions that can occur when mixing different data types. To prevent this, explicitly convert date values using appropriate functions like TO_DATE.

By following these optimization techniques, you can improve the performance of date transformations in Oracle SQL queries.