There is a table with 100 million records. You need to select all records where value > 100. What are the recommendations to minimize query execution time?

To minimize the query execution time on a table with 100 million records, where you need to select all records with value > 100, I recommend:

• Indexing: Create an index on the value column. A B-Tree index is especially effective for range queries.
• Partitioning the table: Divide the table into partitions based on value ranges or other criteria so that the query scans only the necessary partitions.
• Using covering indexes: If the query selects only a few columns, create an index that covers these columns to avoid accessing the main data.
• Query optimization: Ensure the query is written efficiently, for example, using WHERE value > 100 without unnecessary functions or conversions.
• Execution plan analysis: Use EXPLAIN to understand how the DBMS executes the query and adjust indexes or table structure accordingly.

Example of creating an index in SQL:

CREATE INDEX idx_value ON table_name(value);

If value is a numeric field, the index will allow quick filtering of records with value > 100 without a full table scan.