Proper Indexing
Use Clustered, Non-Clustered, and Covering Indexes.
Example: Searching CustomerName on 10M records → index reduces query from 20 sec → 200 ms.
CustomerName
Partitioning Large Tables
Split data into smaller logical chunks.
Example: Transactions table partitioned by year/month.
Sharding & Horizontal Scaling
Distribute records across multiple databases.
Example: Users with ID ranges split across multiple DBs.
Read/Write Replicas
Read-heavy queries go to replicas, write operations to primary.
*Query Optimization (Avoid SELECT )
Fetch only required columns.
Example: Instead of SELECT * FROM Orders, use SELECT OrderID, Amount.
SELECT * FROM Orders
SELECT OrderID, Amount
Stored Procedures & Execution Plans
Use compiled procedures to avoid re-parsing queries.
Batch Processing for Large Updates
Update/delete records in chunks of 1000 instead of all at once.
Caching Frequently Accessed Data
Store hot data in Redis/Memory cache.
Example: Exchange rates cached for 10 mins.
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