Scenario: An application developer wants to add an index to a frequently queried column in a DB2 table. However, they are concerned about the overhead of maintaining the index during data modifications. How would you advise them?

  • Consider using a bitmap index, which can reduce the overhead of index maintenance for frequently modified columns.
  • Create a materialized view instead of adding an index to improve query performance without incurring index maintenance overhead.
  • Opt for a clustered index on the frequently queried column to minimize index maintenance overhead.
  • Utilize a hash index for the frequently queried column to minimize index maintenance overhead.
Using a bitmap index can be a suitable solution for columns that are frequently queried but undergo frequent data modifications. Bitmap indexes can efficiently handle changes to the indexed data while still providing improved query performance. Hash indexes are not commonly used in DB2 and may not effectively address the concern about index maintenance overhead. Materialized views and clustered indexes are not directly related to the issue of reducing index maintenance overhead for frequently modified columns. 
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