## ## postgresql-pipelinedb.spec -- OpenPKG RPM Package Specification ## Copyright (c) 2000-2022 OpenPKG Project ## ## Permission to use, copy, modify, and distribute this software for ## any purpose with or without fee is hereby granted, provided that ## the above copyright notice and this permission notice appear in all ## copies. ## ## THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED ## WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF ## MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. ## IN NO EVENT SHALL THE AUTHORS AND COPYRIGHT HOLDERS AND THEIR ## CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, ## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT ## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF ## USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ## ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, ## OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT ## OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF ## SUCH DAMAGE. ## # package version %define V_opkg 1.0.0.13 %define V_dist 1.0.0-13 # package information Name: postgresql-pipelinedb Summary: PostgreSQL Extension: PipelineDB URL: https://github.com/pipelinedb/pipelinedb Vendor: PiplelineDB Packager: OpenPKG Project Distribution: OpenPKG Community Class: EVAL Group: Database License: Apache Version: %{V_opkg} Release: 20190226 # list of sources Source0: https://github.com/pipelinedb/pipelinedb/archive/%{V_dist}.tar.gz Patch0: postgresql-pipelinedb.patch # build information BuildPreReq: OpenPKG, openpkg >= 20160101 PreReq: OpenPKG, openpkg >= 20160101 BuildPreReq: postgresql, zmq PreReq: postgresql, zmq %description PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL. %track prog postgresql-pipelinedb = { version = %{V_opkg} url = https://github.com/pipelinedb/pipelinedb/releases regex = (\d+\.\d+\.\d+)-(\d+)\.tar\.gz transform = $1.$2 } %prep %setup -q -n pipelinedb-%{V_dist} %patch -p0 %build %{l_make} %{l_mflags} \ USE_PGXS=1 \ CC="%{l_cc}" \ CFLAGS="%{l_cflags -O}" \ PG_CPPFLAGS="-I`pwd`/include %{l_cppflags}" \ LDFLAGS="%{l_ldflags}" \ SHLIB_LINK="%{l_prefix}/lib/libzmq.a -lstdc++" \ pipelinedb.so %install %{l_make} %{l_mflags} \ DESTDIR=$RPM_BUILD_ROOT \ USE_PGXS=1 \ install %{l_rpmtool} files -v -ofiles -r$RPM_BUILD_ROOT %{l_files_std} %files -f files %clean