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Database scaling & optimization

Indexing, connection pooling, read replicas, query tuning, and throughput-aware SQL.

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Database scaling & optimization easy

How to Batch Load JSON Data in Python for Database Optimization

This code parses JSON data into records and loads them in batches to simulate efficient database insertion, reducing load and improving performance.

json batching database
Python 
import json
import time

def parse_and_load(data, batch_size=100):
    """
    Parse JSON data and batch-load into a list of dicts.
    Demonstrates batching for database efficiency.
    """
    records = json.loads(data)
    batches = []

    for i in range(0, len(records), batch_size):
        batch = records[i:i + …
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