Optimization

Table Partitioning for Large Datasets

Senior Data Analyst
March 19, 2026
6 min read

The Problem

Our `events` table has 10 billion rows. Even with indexes, queries are slow because the table is just too big.

The Solution: Partitioning

Split the table by a key (usually date). Queries that filter by date will only scan the relevant partition.

CREATE TABLE events (

id SERIAL,

event_date DATE,

...

) PARTITION BY RANGE (event_date);

CREATE TABLE events_2025 PARTITION OF events FOR VALUES FROM ('2025-01-01') TO ('2026-01-01');

CREATE TABLE events_2026 PARTITION OF events FOR VALUES FROM ('2026-01-01') TO ('2027-01-01');

Pro Tip

Partitioning is a DBA task, but understanding it helps you design better schema and faster queries.

*Day 79: Materialized Views.*

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