Skip to main content

Maintain denormalized and aggregated PostgreSQL tables

Project description

Denorm

PyPI

Denormalized and aggregated tables for PostgreSQL.

Keywords: PostgreSQL, denormalization, aggregation, incremental view maintenance, materialized view

Overview

Denorm uses schema defined in JSON. It generates SQL DDL statements for functions and triggers. When these SQL stateements are applied to the database, the triggers keep the target table up-to-date with the sources.

By using declarative JSON files about table relationships and calculations, aggregated and denormalized tables can be easily maintained.

Denorm is similar to PostgreSQL's CREATE MATERIALIZED VIEW, except that denorm updates the materialized view incrementally.

Features

  • Efficient incremental updates
  • Arbitrarily complex SQL features and expressions
  • Configurable consistency
  • Deadlock-free

Install

Pip

pip3 install denorm

Usage

For CLI usage, see Usage.

Operations

Denorm has two operations:

Aggregate

Create a materalized aggregate of a single table.

See Aggregate.

Join

Create a materialized join of several tables.

See Join.

Performance

Materialized views exchange slower write performance for higher read performance.

While it's impossible to completely escape that fundamental trade-off, Denorm is implementated to be on par with hand-tuned methods, especially for batch updates.

When applicable, Denorm uses tables with ON COMMIT DELETE to minimize I/O overhead. However, since PostgreSQL does not support global temporary tables, Denorm must use session temp tables. Thus the first update in a session may have several millseconds of overhead in creating these tables. Be sure to pool connections and vacuum reguarly to prevent system tables from bloating.

Migration

Denorm does not generate migration scripts.

Consider a tool like migra to help generate migration scripts.

Limitations

Denorm mangles names for generated objects, Long IDs and table names may run into the PostgreSQL limit of 63 characters for identifiers.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

denorm-1.3.1.tar.gz (22.4 kB view hashes)

Uploaded Source

Built Distribution

denorm-1.3.1-py3-none-any.whl (33.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page