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##
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## postgresql-pipelinedb.spec -- OpenPKG RPM Package Specification
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## Copyright (c) 2000-2021 OpenPKG Project <http://openpkg.org/>
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##
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## Permission to use, copy, modify, and distribute this software for
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## any purpose with or without fee is hereby granted, provided that
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## the above copyright notice and this permission notice appear in all
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## copies.
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##
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## THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED
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## WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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## MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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## IN NO EVENT SHALL THE AUTHORS AND COPYRIGHT HOLDERS AND THEIR
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## CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
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## USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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## ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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## OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
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## OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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## SUCH DAMAGE.
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##
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# package version
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%define V_opkg 1.0.0.13
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%define V_dist 1.0.0-13
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# package information
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Name: postgresql-pipelinedb
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Summary: PostgreSQL Extension: PipelineDB
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URL: https://github.com/pipelinedb/pipelinedb
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Vendor: PiplelineDB
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Packager: OpenPKG Project
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Distribution: OpenPKG Community
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Class: EVAL
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Group: Database
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License: Apache
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Version: %{V_opkg}
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Release: 20190226
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# list of sources
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Source0: https://github.com/pipelinedb/pipelinedb/archive/%{V_dist}.tar.gz
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Patch0: postgresql-pipelinedb.patch
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# build information
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BuildPreReq: OpenPKG, openpkg >= 20160101
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PreReq: OpenPKG, openpkg >= 20160101
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BuildPreReq: postgresql, zmq
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PreReq: postgresql, zmq
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%description
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PipelineDB is a PostgreSQL extension for high-performance
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time-series aggregation, designed to power realtime reporting and
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analytics applications. PipelineDB allows you to define continuous
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SQL queries that perpetually aggregate time-series data and store
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only the aggregate output in regular, queryable tables. You can
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think of this concept as extremely high-throughput, incrementally
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updated materialized views that never need to be manually refreshed.
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Raw time-series data is never written to disk, making PipelineDB
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extremely efficient for aggregation workloads. Continuous queries
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produce their own output streams, and thus can be chained together
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into arbitrary networks of continuous SQL.
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%track
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prog postgresql-pipelinedb = {
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version = %{V_opkg}
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url = https://github.com/pipelinedb/pipelinedb/releases
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regex = (\d+\.\d+\.\d+)-(\d+)\.tar\.gz
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transform = $1.$2
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}
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%prep
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%setup -q -n pipelinedb-%{V_dist}
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%patch -p0
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%build
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%{l_make} %{l_mflags} \
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USE_PGXS=1 \
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CC="%{l_cc}" \
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CFLAGS="%{l_cflags -O}" \
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PG_CPPFLAGS="-I`pwd`/include %{l_cppflags}" \
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LDFLAGS="%{l_ldflags}" \
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SHLIB_LINK="%{l_prefix}/lib/libzmq.a -lstdc++" \
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pipelinedb.so
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%install
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%{l_make} %{l_mflags} \
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DESTDIR=$RPM_BUILD_ROOT \
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USE_PGXS=1 \
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install
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%{l_rpmtool} files -v -ofiles -r$RPM_BUILD_ROOT %{l_files_std}
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%files -f files
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%clean
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