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?
Recent Posts
- ConnectUnwise: Threat actors abuse ConnectWise as builder for signed malware
- French police reportedly arrest suspected BreachForums administrators
- Ransomware attack contributed to patient’s death, says Britain’s NHS
- Glasgow City Council impacted by ‘cyber incident’
- Leak of data belonging to 7.4 million Paraguayans traced back to infostealers