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Add support for remote extensions. When requested, downloads a tar.gz file for the extension and then organizes the contained files. For instance, placing .so files in sharelib.
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docs/rfcs/024-extension-loading.md
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docs/rfcs/024-extension-loading.md
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# Supporting custom user Extensions (Dynamic Extension Loading)
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Created 2023-05-03
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## Motivation
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There are many extensions in the PostgreSQL ecosystem, and not all extensions
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are of a quality that we can confidently support them. Additionally, our
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current extension inclusion mechanism has several problems because we build all
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extensions into the primary Compute image: We build the extensions every time
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we build the compute image regardless of whether we actually need to rebuild
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the image, and the inclusion of these extensions in the image adds a hard
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dependency on all supported extensions - thus increasing the image size, and
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with it the time it takes to download that image - increasing first start
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latency.
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This RFC proposes a dynamic loading mechanism that solves most of these
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problems.
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## Summary
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`compute_ctl` is made responsible for loading extensions on-demand into
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the container's file system for dynamically loaded extensions, and will also
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make sure that the extensions in `shared_preload_libraries` are downloaded
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before the compute node starts.
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## Components
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compute_ctl, PostgreSQL, neon (extension), Compute Host Node, Extension Store
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## Requirements
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Compute nodes with no extra extensions should not be negatively impacted by
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the existence of support for many extensions.
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Installing an extension into PostgreSQL should be easy.
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Non-preloaded extensions shouldn't impact startup latency.
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Uninstalled extensions shouldn't impact query latency.
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A small latency penalty for dynamically loaded extensions is acceptable in
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the first seconds of compute startup, but not in steady-state operations.
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## Proposed implementation
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### On-demand, JIT-loading of extensions
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Before postgres starts we download
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- control files for all extensions available to that compute node;
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- all `shared_preload_libraries`;
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After postgres is running, `compute_ctl` listens for requests to load files.
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When PostgreSQL requests a file, `compute_ctl` downloads it.
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PostgreSQL requests files in the following cases:
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- When loading a preload library set in `local_preload_libraries`
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- When explicitly loading a library with `LOAD`
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- Wnen creating extension with `CREATE EXTENSION` (download sql scripts, (optional) extension data files and (optional) library files)))
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#### Summary
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Pros:
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- Startup is only as slow as it takes to load all (shared_)preload_libraries
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- Supports BYO Extension
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Cons:
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- O(sizeof(extensions)) IO requirement for loading all extensions.
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### Alternative solutions
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1. Allow users to add their extensions to the base image
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Pros:
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- Easy to deploy
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Cons:
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- Doesn't scale - first start size is dependent on image size;
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- All extensions are shared across all users: It doesn't allow users to
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bring their own restrictive-licensed extensions
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2. Bring Your Own compute image
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Pros:
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- Still easy to deploy
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- User can bring own patched version of PostgreSQL
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Cons:
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- First start latency is O(sizeof(extensions image))
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- Warm instance pool for skipping pod schedule latency is not feasible with
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O(n) custom images
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- Support channels are difficult to manage
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3. Download all user extensions in bulk on compute start
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Pros:
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- Easy to deploy
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- No startup latency issues for "clean" users.
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- Warm instance pool for skipping pod schedule latency is possible
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Cons:
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- Downloading all extensions in advance takes a lot of time, thus startup
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latency issues
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4. Store user's extensions in persistent storage
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Pros:
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- Easy to deploy
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- No startup latency issues
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- Warm instance pool for skipping pod schedule latency is possible
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Cons:
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- EC2 instances have only limited number of attachments shared between EBS
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volumes, direct-attached NVMe drives, and ENIs.
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- Compute instance migration isn't trivially solved for EBS mounts (e.g.
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the device is unavailable whilst moving the mount between instances).
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- EBS can only mount on one instance at a time (except the expensive IO2
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device type).
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5. Store user's extensions in network drive
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Pros:
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- Easy to deploy
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- Few startup latency issues
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- Warm instance pool for skipping pod schedule latency is possible
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Cons:
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- We'd need networked drives, and a lot of them, which would store many
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duplicate extensions.
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- **UNCHECKED:** Compute instance migration may not work nicely with
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networked IOs
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### Idea extensions
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The extension store does not have to be S3 directly, but could be a Node-local
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caching service on top of S3. This would reduce the load on the network for
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popular extensions.
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## Extension Storage implementation
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Extension Storage in our case is an S3 bucket with a "directory" per build and postgres version,
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where extension files are stored as plain files in the bucket following the same directory structure as in the postgres.
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i.e.
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`s3://<the-bucket>/<build-version>/<postgres-version>/lib/postgis-3.1.so`
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`s3://<the-bucket>/<build-version>/<postgres-version>/share/extension/postgis.control`
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`s3://<the-bucket>/<build-version>/<postgres-version>/share/extension/postgis--3.1.sql`
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To handle custom extensions, that available only to specific users, we use per-extension subdirectories:
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i.e.
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`s3://<the-bucket>/<build-version>/<postgres-version>/<custom-ext-prefix>/lib/ext-name.so`, etc.
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`s3://<the-bucket>/<build-version>/<postgres-version>/<custom-ext-prefix>/share/extension/ext-name.control`, etc.
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On compute start, `compute_ctl` accepts a list of custom_ext_prefixes.
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To get the list of available extensions,`compute_ctl` downloads control files from all prefixes:
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`s3://<the-bucket>/<build-version>/<postgres-version>/share/extension/`
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`s3://<the-bucket>/<build-version>/<postgres-version>/<custom-ext-prefix1>/share/extension/`
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`s3://<the-bucket>/<build-version>/<postgres-version>/<custom-ext-prefix2>/share/extension/`
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### How to add new extension to the Extension Storage?
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Simply upload build artifacts to the S3 bucket.
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Implement a CI step for that. Splitting it from ompute-node-image build.
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### How do we deal with extension versions and updates?
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Currently, we rebuild extensions on every compute-node-image build and store them in the <build-version> prefix.
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This is needed to ensure that `/share` and `/lib` files are in sync.
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For extension updates, we rely on the PostgreSQL extension versioning mechanism (sql update scripts) and extension authors to not break backwards compatibility within one major version of PostgreSQL.
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### Alternatives
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For extensions written on trusted languages we can also adopt
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`dbdev` PostgreSQL Package Manager based on `pg_tle` by Supabase.
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This will increase the amount supported extensions and decrease the amount of work required to support them.
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