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postgresql.pkgs.pg_embedding: remove

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As discussed in #351306, this is scheduled for removal after 24.11
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This commit is contained in:
Maximilian Bosch 2024-11-16 18:54:24 +01:00
parent 69b30194c4
commit 7239af0a72
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2 changed files with 5 additions and 25 deletions
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8
pkgs/servers/sql/postgresql/ext/default.nix
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@ -1,4 +1,6 @@
self: super: {
self: super: let
inherit (self) lib config;
in {
age = super.callPackage ./age.nix { };
@ -26,8 +28,6 @@ self: super: {
pg_ed25519 = super.callPackage ./pg_ed25519.nix { };
pg_embedding = super.callPackage ./pg_embedding.nix { };
pg_hint_plan = super.callPackage ./pg_hint_plan.nix { };
pg_ivm = super.callPackage ./pg_ivm.nix { };
@ -110,4 +110,6 @@ self: super: {
tsja = super.callPackage ./tsja.nix { };
wal2json = super.callPackage ./wal2json.nix { };
} // lib.optionalAttrs config.allowAliases {
pg_embedding = throw "PostgreSQL extension `pg_embedding` has been removed since the project has been abandoned. Upstream's recommendation is to use pgvector instead (https://neon.tech/docs/extensions/pg_embedding#migrate-from-pg_embedding-to-pgvector)";
}

22
pkgs/servers/sql/postgresql/ext/pg_embedding.nix
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@ -1,22 +0,0 @@
{ lib, stdenv, fetchFromGitHub, postgresql, buildPostgresqlExtension }:
buildPostgresqlExtension rec {
pname = "pg_embedding";
version = "0.3.6";
src = fetchFromGitHub {
owner = "neondatabase";
repo = pname;
rev = version;
hash = "sha256-NTBxsQB8mR7e/CWwkCEyDiYhi3Nxl/aKgRBwqc0THcI=";
};
meta = with lib; {
description = "PostgreSQL extension implementing the HNSW algorithm for vector similarity search";
homepage = "https://github.com/neondatabase/pg_embedding";
maintainers = with maintainers; [ ];
platforms = postgresql.meta.platforms;
license = licenses.asl20;
knownVulnerabilities = [ "As of Sept 29, 2023, the authors have abandoned the project and strongly encourage using pgvector, which is faster, has more functionality, and is actively maintained: check out the author's instructions to migrate at https://neon.tech/docs/extensions/pg_embedding#migrate-from-pg_embedding-to-pgvector" ];
};
}