pgbackrest 1.28-1 source package in Ubuntu
Changelog
pgbackrest (1.28-1) unstable; urgency=medium
* New Upstream release:
- Bug Fixes:
* Fixed inability to restore a single database contained in a tablespace
using --db-include.
* Ensure latest db-id is selected on when matching archive.info to
backup.info. This provides correct matching in the event there are
system-id and db-version duplicates (e.g. after reverting a
pg_upgrade).
* Fixed overly chatty error message when reporting an invalid command.
- Features:
* Add stanza-delete command to cleanup unused stanzas.
- Improvements:
* Improve stanza-create command so that it does not error when the
stanza already exists.
-- Adrian Vondendriesch <email address hidden> Sat, 03 Feb 2018 14:58:32 +0100
Upload details
- Uploaded by:
- Debian PostgreSQL Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian PostgreSQL Maintainers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pgbackrest_1.28-1.dsc | 2.1 KiB | 473d5d7397755594dc8edd7c46324f088f4d94be490c848683e1efd43e270fec |
| pgbackrest_1.28.orig.tar.gz | 5.3 MiB | 86f9097ad0929cabcfd9cf1e28a936acdf53f4e086f4c7a50cdd9231bb356c1b |
| pgbackrest_1.28-1.debian.tar.xz | 6.5 KiB | 957e7bad942ae22adf315b7d61d6d2870bc4d3eff0f1be9053e33d3b5a2038b1 |
Available diffs
- diff from 1.27-1 to 1.28-1 (45.7 KiB)
No changes file available.
Binary packages built by this source
- pgbackrest: Reliable PostgreSQL Backup & Restore
pgBackRest is a simple, reliable backup and restore system for PostgreSQL
that can seamlessly scale up to the largest databases and workloads.
- pgbackrest-dbgsym: debug symbols for pgbackrest
- pgbackrest-doc: Documentation package for pgbackrest
The pgBackRest documentation contains detailed information about the
configuration and usage of pgBackRest.
.
pgBackRest is a simple, reliable backup and restore system for PostgreSQL
that can seamlessly scale up to the largest databases and workloads.
