Techniques for Handling Large Data Queries
🔹 Pagination: Use LIMIT and OFFSET to fetch data in chunks.
🔹 Indexing: Create indexes on frequently searched columns.
🔹 Partitioning: Divide large tables into smaller partitions for faster access.
🔹 Use SELECT with Specific Columns: Avoid SELECT * to reduce unnecessary data transfer.
🔹 Optimize Joins: Use indexed joins instead of full table scans.
🔹 Use Caching: Store frequently accessed results in Redis or Memcached.
. How to Fetch Large Data Efficiently in SQL?
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