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Advanced PostgreSQL: Indexing, Partitioning, Replication · Lesson

Hash Partitioning Implementation

Learn how PostgreSQL hash partitioning spreads rows evenly across a fixed set of partitions using a hash of the key, ideal for balancing load without natural ranges.

Hash Partitioning Implementation is a free Advanced PostgreSQL: Indexing, Partitioning, Replication lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Advanced PostgreSQL: Indexing, Partitioning, Replication learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

When Range and List Do Not Fit

Range partitioning suits dates; list partitioning suits known categories. But what if you just want even distribution with no natural boundaries?

That is where hash partitioning shines.

What Is Hash Partitioning?

Hash partitioning applies a hash function to the partition key and assigns each row to a partition based on the remainder, spreading rows evenly.

Declaring the Parent Table

Create the parent table partitioned BY HASH on a key column.

CREATE TABLE events (
  id BIGINT,
  user_id BIGINT,
  payload TEXT
) PARTITION BY HASH (user_id);

Creating Partitions

Each partition declares a modulus and remainder. With modulus 4 you create four partitions, remainders 0 to 3.

CREATE TABLE events_0 PARTITION OF events FOR VALUES WITH (MODULUS 4, REMAINDER 0);

The Full Set

You must create partitions covering every remainder, otherwise some rows have nowhere to go.

CREATE TABLE events_1 PARTITION OF events FOR VALUES WITH (MODULUS 4, REMAINDER 1);
CREATE TABLE events_2 PARTITION OF events FOR VALUES WITH (MODULUS 4, REMAINDER 2);
CREATE TABLE events_3 PARTITION OF events FOR VALUES WITH (MODULUS 4, REMAINDER 3);

How Rows Get Routed

On insert, PostgreSQL hashes user_id, takes the remainder modulo 4, and stores the row in the matching partition automatically.

Even Distribution

Because hashing scatters values, partitions stay roughly equal in size, avoiding the hot-partition problem that range partitioning can suffer.

Choosing the Modulus

The modulus equals your number of partitions. Pick it up front, since changing partition count later requires redistributing data.

Indexes per Partition

Create indexes on the parent and PostgreSQL propagates them to all partitions, keeping lookups fast within each shard.

CREATE INDEX ON events (user_id);

Hash vs Range vs List

  • Range: ordered boundaries (dates, numbers)
  • List: discrete known values (regions)
  • Hash: even spread when no natural grouping exists

Limitations

Hash partitioning gives no partition pruning for range queries on the key, since values are scattered. It helps point lookups and write distribution, not range scans.

Quick Check

Test your hash partitioning knowledge.

Recap

Hash partitioning spreads rows evenly across a fixed number of partitions using MODULUS and REMAINDER on a hashed key.

It is ideal for balancing writes and point lookups when there is no natural range or list, but it cannot prune partitions for range queries on the key.

Frequently asked questions

Is the “Hash Partitioning Implementation” lesson free?

Yes — the full text of “Hash Partitioning Implementation” is free to read here on the web, and the Advanced PostgreSQL: Indexing, Partitioning, Replication course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Advanced PostgreSQL: Indexing, Partitioning, Replication course, upgrade to CoddyKit PRO.

What will I learn in “Hash Partitioning Implementation”?

Learn how PostgreSQL hash partitioning spreads rows evenly across a fixed set of partitions using a hash of the key, ideal for balancing load without natural ranges. You practise Advanced PostgreSQL: Indexing, Partitioning, Replication with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Advanced PostgreSQL: Indexing, Partitioning, Replication?

No prior experience is required. Advanced PostgreSQL: Indexing, Partitioning, Replication on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Hash Partitioning Implementation” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Advanced PostgreSQL: Indexing, Partitioning, Replication lesson?

Yes. Every Advanced PostgreSQL: Indexing, Partitioning, Replication lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Why Partitioning?
  2. Range Partitioning Setup
  3. List Partitioning Implementation
  4. Hash Partitioning Implementation
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