What is Redis pipelining and how does it improve performance?

Pipelining sends multiple commands without waiting for individual responses: **Without Pipelining:** # Each command waits for response (RTT per command) r.set('key1', 'value1') # RTT 1 r.set('key2', 'value2') # RTT 2 r.set('key3', 'value3') # RTT 3 # Total: 3 RTTs **With Pipelining:** # All commands sent together pipe = r.pipeline(transaction=False) pipe.set('key1', 'value1') pipe.set('key2', 'value2') pipe.set('key3', 'value3') results = pipe.execute() # Only 1 RTT **Bulk Operations:** # Insert 10000 keys efficiently pipe = r.pipeline(transaction=False) for i in range(10000): pipe.set(f'key:{i}', f'value:{i}') if i % 1000 == 0: # Execute in batches pipe.execute() pipe = r.pipeline(transaction=False) pipe.execute() # Execute remaining **Performance Benefits:** • Reduces network round trips • Higher throughput (10x+ improvement possible) • Lower latency for bulk operations • More efficient network utilization **Best Practices:** • Batch size: 100-1000 commands • Use for bulk operations • Don't pipeline commands that depend on previous results • Monitor memory usage during large pipelines