Finding and Deleting Duplicate Rows in PostgreSQL
Eliminate duplicates in PostgreSQL using a Common Table Expression (CTE) with ROW_NUMBER(), targeting row numbers greater than 1 for deletion:
Customize column_to_dedupe
, id
, and table_name
according to your needs.
Performance Tuning for Hefty Tables
When large tables are in play, performance isn't just a nice-to-have — it's mandatory. To fine-tune the deletion process:
- Set up an indexed temporary table to keep tabs on duplicate IDs.
- Launch the DELETE operation, feeding it data from the temporary table for a lightweight execution.
Upgrading PostgreSQL for Compatibility
Looking to test your solution in a safe sandbox like SQL Fiddle? Don't be shy to upgrade your PostgreSQL to version 9.3 or higher — it's hip, it's cool, and it's fully compatible with SQL Fiddle.
Catered Data Retention
If you're in the business of keeping data around, for example, the earliest or latest entries, make the ORDER BY
clause in the ROW_NUMBER() function your best friend:
Composite Key Duplicates
When you're facing duplicates across a combination of fields, such as merchant_id
and url
, bring them to the PARTITION BY party:
Avoiding Data Oopsy-Daisy Moments
Before playing with the big red button (aka DELETE), backup your dataset. Consider running a harmless SELECT query first with the same logic to see what damage – ahem – changes you're about to make.
Spotting Distinct Records
Perhaps you're more interested in finding distinct records rather than declaring war on duplicates. The DISTINCT keyword in SELECT statements comes to your rescue:
Preparing for the Unknown
In the unlikely event of things going south, make sure you're prepared. Learn how to use transactions to safely apply changes:
Harnessing the Power of Query Planning
PostgreSQL's query planner is no less than an optimization superhero for your deduplication queries. To unveil the magic, turn on your EXPLAIN vision:
Maintaining a Duplicate-Free Environment
To make your database a no-go zone for future duplications, consider database constraints such as UNIQUE indexes. They enforce uniqueness on the column combinations that matter to you.
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