🗂️List Partitioning

NEW

A partitioning strategy that assigns rows to partitions based on enumerated lists of specific key values.

DESCRIPTION

List Partitioning organizes data by mapping discrete key values to specific partitions, enabling selective storage and efficient pruning for categorical queries. It is well-suited to data with a finite set of values, such as regions, product categories, or statuses. Database engines like PostgreSQL, Oracle, and MariaDB implement list partitioning to improve manageability and performance. Trade-offs include maintenance overhead when categories change and potential skew if some values dominate. Combining list with hash or range can mitigate imbalances.

ALTERNATIVE DEFINITIONS

PostgreSQL Documentation

In list partitioning, rows are routed to partitions based on matching discrete values of the partition key.

Clarifies value-to-partition mapping via discrete lists.

Source

Oracle Database

List partitioning assigns rows to partitions according to a set of key values defined for each partition.

Emphasizes assignment by enumerated set per partition.

Source

RELATED TERMS

Shard Key Sharding Query Routing Partition Pruning Indexing Distributed Database Data Skew Composite Partitioning

COMPETING TERMS

Range Partitioning Hash Partitioning

RELATIONS

• Broader: Partitioning

KNOWLEDGE AREAS

Data Storage & Operations Data Engineering Data Architecture Infrastructure

TARGET AUDIENCE

Data Engineer Data Architect Cloud Architect Software Developer Data Modeler

EXTERNAL SOURCES

• Wikipedia - Database partitioning
• PostgreSQL - Core partitioning concepts
• MariaDB - Partitioning types and usage
• Oracle - Oracle partitioning guide

TOP QUESTIONS

What is List Partitioning and when is it useful?

List Partitioning maps discrete key values to partitions, ideal for categorical data like region or product categories and supports efficient pruning of irrelevant partitions.

Category: Overview

How do I define List Partitioning effectively?

Enumerate stable categories, assign them to partitions, and monitor distribution regularly. Plan for new categories and avoid overloading single partitions.

Category: Requirements

What are List Partitioning trade-offs?

It simplifies categorical routing but can suffer skew and maintenance overhead when categories change. Hybrid approaches can balance loads.

Category: Opinion

How is List Partitioning supported in PostgreSQL?

Create partitioned tables with list partitions, use constraints for routing, and rely on partition pruning for query optimization.

Category: Management

What mistakes occur with List Partitioning?

Choosing volatile categories, ignoring skew, and lacking rebalancing strategies. Poor documentation of category mappings hinders maintenance.

Category: Mistakes

What is an alternative to List Partitioning?

Hash Partitioning for uniform distribution, Range Partitioning for ordered data and range queries. Select based on workload and data.

Category: Alternatives

How do I handle new categories in List Partitioning?

Add partitions with updated value lists, ensure routing constraints reflect changes, and consider default partitions for unforeseen values.

Category: HowTo

What hot topics exist around List Partitioning?

Combining list with hash or range (composite partitioning) to manage skew and growth is widely discussed.

Category: Topic

How does List Partitioning impact indexing and queries?

Each partition has its own indexes; queries can skip partitions that don’t match category filters, improving performance.

Category: Example