File VectorChord.spec of Package VectorChord

#
# spec file
#
# Copyright (c) 2023 SUSE LLC
#
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# upon. The license for this file, and modifications and additions to the
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%define         pg_name  @BUILD_FLAVOR@%{nil}
%define         ext_name VectorChord
%{pg_version_from_name}

Version:        1.0.0
Release:        0
%if "%{pg_name}" == ""
ExclusiveArch:  do_not_build
Name:           %{ext_name}
%else
Name:           %{pg_name}-%{ext_name}
BuildRequires:  %{pg_name}-pgrx
%pg_server_requires
%endif

Summary:        Scalable, fast, and disk-friendly vector search in Postgres
License:        PostgreSQL
Group:          Productivity/Databases/Tools
URL:            https://github.com/tensorchord/VectorChord
Source:         https://github.com/tensorchord/VectorChord/archive/refs/tags/v%{version}.tar.gz#/%{ext_name}-%{version}.tar.gz
Source1:        vendor.tar.zst
Source99:       _service
BuildRequires:  zstd
ExcludeArch:    %ix86 %arm
# BuildSystem:    pgrx
# BuildOption(install): --features=pg%{pg_version}
# BuildOption(prep): -a1
# BuildOption(prep): -n %{ext_name}-%{version}

%description
VectorChord (vchord) is a PostgreSQL extension designed for scalable,
high-performance, and disk-efficient vector similarity search.

With VectorChord, you can store 400,000 vectors for just $1, enabling
significant savings: 6x more vectors compared to Pinecone's optimized storage
and 26x more than pgvector/pgvecto.rs for the same price1.

%prep
%autosetup -p1 -a1 -n %{ext_name}-%{version}

%build
%pgrx_init

%install
%pgrx_package --features=pg%{pg_version}

%files
%license LICENSE licenses/*
%doc *.md
%{pg_config_pkglibdir}/vchord.so
%{pg_config_sharedir}/extension/vchord*

%changelog
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