# packages

pkgId: 99dda18cb16ce43ebe7924cb35f5d4a79e3606592393c1a4856a1c4be9479ef0
name: db2_fdw_13
arch: x86_64
version: 4.0.0
epoch: 0
release: 2.rhel9
summary: PostgreSQL DB2 Foreign Data Wrapper
url: https://github.com/wolfgangbrandl/db2_fdw
rpm_license: PostgreSQL
rpm_vendor: PostgreSQL Global Development Group
rpm_group: Unspecified
rpm_buildhost: koji-nonfree-rhel-9-x86-64-pgbuild
rpm_sourcerpm: db2_fdw_13-4.0.0-2.rhel9.src.rpm
location_href: db2_fdw_13-4.0.0-2.rhel9.x86_64.rpm
checksum_type: sha256
description:
  db2_fdw is a PostgreSQL extension that provides a Foreign Data Wrapper for
  easy and efficient access to DB2 databases, including pushdown of WHERE
  conditions and required columns as well as comprehensive EXPLAIN support.


pkgId: d8654de7c5ee8e2623a70ae81810f19193c17451ed52605f9f11807e9cdf82df
name: pgdg-redhat-nonfree-repo
arch: noarch
version: 42.0
epoch: 0
release: 10
summary: PostgreSQL PGDG RPMs- Yum Repository Configuration for Red Hat / CentOS NonFree
url: https://yum.postgresql.org
rpm_license: PostgreSQL
rpm_vendor: PostgreSQL Global Development Group
rpm_group: Unspecified
rpm_buildhost: koji-nonfree-rhel-9-x86-64-pgbuild
rpm_sourcerpm: pgdg-redhat-nonfree-repo-42.0-10.src.rpm
location_href: pgdg-redhat-nonfree-repo-42.0-10.noarch.rpm
checksum_type: sha256
description:
  This package contains yum configuration for Red Hat Enterprise Linux, CentOS
  non-free repository, and also the GPG key for PGDG RPMs.


pkgId: a7079b5eb0a50ee9f2d413c14cf7708dd51701a3503e08ceb017f63875032d55
name: timescaledb-tsl_13
arch: x86_64
version: 2.7.0
epoch: 0
release: 1.rhel9
summary: PostgreSQL based time-series database
url: https://github.com/timescale/timescaledb
rpm_license: Timescale
rpm_vendor: PostgreSQL Global Development Group
rpm_group: Unspecified
rpm_buildhost: koji-nonfree-rhel-9-x86-64-pgbuild
rpm_sourcerpm: timescaledb-tsl_13-2.7.0-1.rhel9.src.rpm
location_href: timescaledb-tsl_13-2.7.0-1.rhel9.x86_64.rpm
checksum_type: sha256
description:
  TimescaleDB is an open-source database designed to make SQL scalable for
  time-series data. It is engineered up from PostgreSQL, providing automatic
  partitioning across time and space (partitioning key), as well as full SQL
  support.


