A PostgreSQL extension that enables creation and testing of hypothetical indexes without actually building them.
HypoPG is a PostgreSQL extension that enables the creation of hypothetical (virtual) indexes. It allows database administrators and developers to test whether specific indexes would improve query performance without actually creating them, thus avoiding consumption of CPU, disk, or other resources. This helps in making data-driven decisions about index optimization in a risk-free environment.
PostgreSQL database administrators and developers who need to optimize query performance by experimenting with different indexing strategies without impacting production resources.
Developers choose HypoPG because it provides a safe, resource-efficient way to test index effectiveness using standard PostgreSQL syntax, with session isolation ensuring no interference with concurrent connections. Its unique ability to hide existing indexes also allows for testing alternative indexing scenarios without modifying the database.
Hypothetical Indexes for PostgreSQL
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Allows creation of virtual indexes using standard CREATE INDEX syntax without consuming CPU, disk, or resources, enabling safe experimentation as highlighted in the description.
Hypothetical indexes are confined to single backend sessions, avoiding interference with concurrent connections, ensuring clean testing environments per the usage notes.
Supports temporarily hiding existing indexes with hypopg_hide_index() to test alternative strategies without database modifications, demonstrated in the examples.
Integrates directly with PostgreSQL's EXPLAIN command to show if hypothetical indexes would be used, using familiar syntax for quick validation.
Currently only supports btree indexes, with other types like GIN or GiST planned but not available, restricting testing for diverse data structures.
Lacks extension upgrade scripts; users must drop and recreate the extension for new versions, which can be disruptive for ongoing optimization work.
Some CREATE INDEX elements, such as custom index names, are ignored as noted in the README, reducing flexibility in index management and testing.
Only works with EXPLAIN without ANALYZE, so it shows planner decisions but not real execution times or resource usage, limiting depth of analysis.