pg_search
is a Postgres extension that enables full text search over heap tables using the BM25 algorithm. It is built on top of Tantivy, the Rust-based alternative to Apache Lucene, using pgrx
.
pg_search
is supported on all versions supported by the PostgreSQL Global Development Group, which includes PostgreSQL 12+.
Check out the pg_search
benchmarks here.
pg_search
uses Tantivy version 0.22.0.
- Custom tokenizers and multi-language support
- BM25 scoring
- Highlighting
- Filtering
- Autocomplete
- Fuzzy search
- Hybrid search
- JSON fields
- Datetime fields
- Aggregations/facets
- Distributed search
The easiest way to use the extension is to run the ParadeDB Dockerfile:
docker run \
--name paradedb \
-e POSTGRESQL_USERNAME=<user> \
-e POSTGRESQL_PASSWORD=<password> \
-e POSTGRESQL_DATABASE=<dbname> \
-e POSTGRESQL_POSTGRES_PASSWORD=<superuser_password> \
-v paradedb_data:/bitnami/postgresql \
-p 5432:5432 \
-d \
paradedb/paradedb:latest
This will spin up a Postgres instance with pg_search
preinstalled.
If you are self-hosting Postgres and would like to use the extension within your existing Postgres, follow the steps below.
It's very important to make the following change to your postgresql.conf
configuration file. pg_search
must be in the list of shared_preload_libraries
:
shared_preload_libraries = 'pg_search'
This enables the extension to spawn a background worker process that performs writes to the index. If this background process is not started because of an incorrect postgresql.conf
configuration, your database connection will crash or hang when you attempt to create a pg_search
index.
We provide prebuilt binaries for Debian-based Linux for Postgres 16, 15 and 14. You can download the latest version for your architecture from the releases page.
Our prebuilt binaries come with the ICU tokenizer enabled, which requires the libicu
library. If you don't have it installed, you can do so with:
# Ubuntu 20.04 or 22.04
sudo apt-get install -y libicu70
# Ubuntu 24.04
sudo apt-get install -y libicu74
Or, you can compile the extension from source without --features icu
to build without the ICU tokenizer.
ParadeDB collects anonymous telemetry to help us understand how many people are using the project. You can opt out of telemetry by setting export PARADEDB_TELEMETRY=false
(or unsetting the variable) in your shell or in your ~/.bashrc
file before running the extension.
We don't suggest running production workloads on macOS. As a result, we don't provide prebuilt binaries for macOS. If you are running Postgres on macOS and want to install pg_search
, please follow the development instructions, but do cargo pgrx install --release
instead of cargo pgrx run
. This will build the extension from source and install it in your Postgres instance.
You can then create the extension in your database by running:
CREATE EXTENSION pg_search;
Note: If you are using a managed Postgres service like Amazon RDS, you will not be able to install pg_search
until the Postgres service explicitly supports it.
Windows is not supported. This restriction is inherited from pgrx not supporting Windows.
pg_search
comes with a helper function that creates a test table that you can use for quick experimentation.
CALL paradedb.create_bm25_test_table(
schema_name => 'public',
table_name => 'mock_items'
);
To index the table, use the following SQL command:
CALL paradedb.create_bm25(
index_name => 'search_idx',
schema_name => 'public',
table_name => 'mock_items',
key_field => 'id',
text_fields => '{description: {tokenizer: {type: "en_stem"}}, category: {}}',
numeric_fields => '{rating: {}}'
);
Note the mandatory key_field
option in the WITH
code. Every bm25
index needs a key_field
, which should be the name of a column that will function as a row's unique identifier within the index. Usually, the key_field
can just be the name of your table's primary key column.
Once the indexing is complete, you can run various search functions on it.
Execute a search query on your indexed table:
SELECT description, rating, category
FROM search_idx.search(
'(description:keyboard OR category:electronics) AND rating:>2',
limit_rows => 5
);
This will return:
description | rating | category
-----------------------------+--------+-------------
Plastic Keyboard | 4 | Electronics
Ergonomic metal keyboard | 4 | Electronics
Innovative wireless earbuds | 5 | Electronics
Fast charging power bank | 4 | Electronics
Bluetooth-enabled speaker | 3 | Electronics
(5 rows)
Note the usage of limit_rows
instead of the SQL LIMIT
clause. For optimal performance, we recommend always using
limit_rows
and offset_rows
instead of LIMIT
and OFFSET
.
Similarly, the rating:>2
filter was used instead of the SQL WHERE
clause for efficient filtering.
Advanced features like BM25 scoring, highlighting, custom tokenizers, fuzzy search, and more are supported. Please refer to the documentation and quickstart for a more thorough overview of pg_search
's query support.
To develop the extension, first install stable Rust using rustup
:
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup install stable
Note: While it is possible to install Rust via your package manager, we recommend using rustup
as we've observed inconcistencies with Homebrew's Rust installation on macOS.
Then, install the PostgreSQL version of your choice using your system package manager. Here we provide the commands for the default PostgreSQL version used by this project:
# macOS
brew install postgresql@16
# Ubuntu
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list'
sudo apt-get update && sudo apt-get install -y postgresql-16 postgresql-server-dev-16
If you are using Postgres.app to manage your macOS PostgreSQL, you'll need to add the pg_config
binary to your path before continuing:
export PATH="$PATH:/Applications/Postgres.app/Contents/Versions/latest/bin"
Then, install and initialize pgrx
:
# Note: Replace --pg16 with your version of Postgres, if different (i.e. --pg15, --pg14, etc.)
cargo install --locked cargo-pgrx --version 0.11.3
# macOS arm64
cargo pgrx init --pg16=/opt/homebrew/opt/postgresql@16/bin/pg_config
# macOS amd64
cargo pgrx init --pg16=/usr/local/opt/postgresql@16/bin/pg_config
# Ubuntu
cargo pgrx init --pg16=/usr/lib/postgresql/16/bin/pg_config
If you prefer to use a different version of Postgres, update the --pg
flag accordingly.
Note: While it is possible to develop using pgrx's own Postgres installation(s), via cargo pgrx init
without specifying a pg_config
path, we recommend using your system package manager's Postgres as we've observed inconsistent behaviours when using pgrx's.
pg_search
comes with multiple tokenizers for different languages. The ICU tokenizer, which enables tokenization for Arabic, Amharic, and Greek, is not enabled by default in development due to the additional dependencies it requires. To develop with the ICU tokenizer enabled, first:
Ensure that the libicu
library is installed. It should come preinstalled on most distros, but you can install it with your system package manager if it isn't:
# macOS
brew install icu4c
# Ubuntu 20.04 or 22.04
sudo apt-get install -y libicu70
# Ubuntu 24.04
sudo apt-get install -y libicu74
Additionally, on macOS you'll need to add the icu-config
binary to your path before continuing:
# ARM macOS
export PKG_CONFIG_PATH="/opt/homebrew/opt/icu4c/lib/pkgconfig"
# Intel macOS
export PKG_CONFIG_PATH="/usr/local/opt/icu4c/lib/pkgconfig"
Finally, to enable the ICU tokenizer in development, pass --features icu
to the cargo pgrx run
and cargo pgrx test
commands.
First, start pgrx:
cargo pgrx run
This will launch an interactive connection to Postgres. Inside Postgres, create the extension by running:
CREATE EXTENSION pg_search;
Now, you have access to all the extension functions.
If you make changes to the extension code, follow these steps to update it:
- Recompile the extension:
cargo pgrx run
- Recreate the extension to load the latest changes:
DROP EXTENSION pg_search;
CREATE EXTENSION pg_search;
We use cargo test
as our runner for pg_lakehouse
tests.
pg_search
is licensed under the GNU Affero General Public License v3.0 and as commercial software. For commercial licensing, please contact us at sales@paradedb.com.