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Скачать или смотреть Understanding PostgreSQL: Does it Hash String-Based Primary Keys Under the Hood?

  • vlogize
  • 2025-05-25
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Understanding PostgreSQL: Does it Hash String-Based Primary Keys Under the Hood?
Does postgres hash string based primary keys under the hood?databasepostgresqldatabase design
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Описание к видео Understanding PostgreSQL: Does it Hash String-Based Primary Keys Under the Hood?

Explore the implications of using string-based primary keys in PostgreSQL and learn whether the database hashes these keys under the hood. Get insights on sharding and best practices for handling UUIDs.
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This video is based on the question https://stackoverflow.com/q/76255481/ asked by the user 'david_adler' ( https://stackoverflow.com/u/1376627/ ) and on the answer https://stackoverflow.com/a/76262995/ provided by the user 'Laurenz Albe' ( https://stackoverflow.com/u/6464308/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding PostgreSQL: Does it Hash String-Based Primary Keys Under the Hood?

When designing a database, one of the most crucial aspects to consider is the choice of primary keys. In PostgreSQL, many developers wonder whether the database handles string-based primary keys differently, particularly when it comes to sharding and maintaining a balanced dataset. In this post, we will address the common concern of whether PostgreSQL hashes string-based primary keys and the implications of this for database design.

The Problem of Non-Uniform ID Generation

One concern raised is the potential problem of generating IDs in a non-uniform manner. If your application allows clients to dictate the IDs through an API or SDK, they may end up using a method that doesn’t ensure well-distributed keys. For instance, some clients might utilize UUID v4 or other UUID generators without a guarantee of uniformity.

Key considerations include:

Can non-uniform IDs lead to problems when sharding?

Is it possible for underlying database mechanics to mitigate these concerns through automatic hashing?

Sharding: Why It Matters

Before diving into the specifics of ID hashing in PostgreSQL, it's essential to understand sharding itself. Sharding involves breaking your database into smaller, more manageable pieces known as shards, which can reside on different servers.

When Does Sharding Make Sense?

Sharding is most beneficial when:

The shards are independent, meaning there is little interdependence between them.

Each customer’s data can be isolated to their respective shard, allowing for efficient querying.

For effective sharding, consider:

Using a primary key column only if all queries typically filter by that key.

Ensuring that the absence of joins with large tables allows for better shard management.

This foundational understanding will guide us to the answer regarding whether PostgreSQL hashes string-based primary keys.

The Truth About Primary Key Storage in PostgreSQL

To answer the question, PostgreSQL does not hash string-based primary keys under the hood. Here are the key points concerning how PostgreSQL handles string storage:

Direct Storage: Strings are stored as entered in the database.

Compression for Long Strings: If the strings are excessively long, PostgreSQL might compress and store them out of line, but this won’t apply to primary keys.

B-tree Indexing: Standard B-tree indexes store values in their original form, maintaining an alphabetical order for efficient querying.

The Role of Hash Indexes

PostgreSQL offers hash indexes; however, they come with limitations:

Hash indexes cannot enforce uniqueness, meaning they cannot serve as primary key indexes.

Thus, relying on hash indexes won’t provide a workaround for key management in sharding scenarios.

Best Practices and Recommendations

Given the constraints of PostgreSQL regarding string-based keys, here are a few recommendations:

Use UUID Data Types: If you anticipate using UUIDs, leverage PostgreSQL's uuid data type rather than treating them as strings. This will optimize storage and performance.

Control ID Generation: If possible, standardize how IDs are generated to minimize uneven distribution. Consistent ID generation can help maintain an even load across shards.

Consider Your Sharding Strategy: Reflect on the necessity of sharding your database based solely on primary key strings. Explore designs that minimize interdependencies between different shards.

Conclusion

While it's natural to wonder about the mechanics of PostgreSQL, understanding its approach to primary key storage mitigates concerns about sharding and performance. PostgreSQL does not

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