Postgresql 11 13

Download PostgreSQL 10.18 Date released: 13 Aug 2021 (4 years ago) Download PostgreSQL 10.17 Date released: 14 May 2021 (4 years ago) Download PostgreSQL 10.16 Date released: 12 Feb 2021 (4 years ago) Download PostgreSQL 10.15 Date released: 13 Nov 2020 (4 years ago) Download PostgreSQL 10.14 Date released: 25 Aug 2020 (5 years ago) Download PostgreSQL 10.13 Date released: 22 May 2020 (5 years ago) Download PostgreSQL 10.9 (32-bit) Date released: 31 Jul 2019 (6 years ago) Download PostgreSQL 10.9 (64-bit) Date released: 31 Jul 2019 (6 years ago) Download PostgreSQL 10.7 (32-bit) Date released: 15 Feb 2019 (6 years ago) Download PostgreSQL 10.7 (64-bit) Date released: 15 Feb 2019 (6 years ago) Download PostgreSQL 10.5.1 (32-bit) Date released: 09 Aug 2018 (7 years ago) Download PostgreSQL 10.5.1 (64-bit) Date released: 09 Aug 2018 (7 years ago) Download PostgreSQL 10.4.1 (32-bit) Date released: 11 May 2018 (7 years ago) Download PostgreSQL 10.4.1 (64-bit) Date released: 11 May 2018 (7 years ago) Download PostgreSQL 10.3.2 (32-bit) Date released: 21 Apr 2018 (7 years ago) Download PostgreSQL 10.3.2 (64-bit) Date released: 21 Apr 2018 (7 years ago) Download PostgreSQL 10.3 (32-bit) Date released: 01 Mar 2018 (7 years ago) Download PostgreSQL 10.3 (64-bit) Date released: 01 Mar 2018 (7 years ago) Download PostgreSQL 10.2 (32-bit) Date released: 08 Feb 2018 (7 years ago) Download PostgreSQL 10.2 (64-bit) Date released: 08 Feb 2018 (7 years ago)

Skip to contentWhy GitLabPricingContact SalesExploreWhy GitLabPricingContact SalesExploreSign inGet free trialFATAL error message : Peer authentication failed for user "gitlab" when upgrading to 14.5.0SummaryWhen upgrading our Community Edition on Staging from v14.4.1 to v14.5 using command : apt-get install gitlab-ce=14.5.0-ce.0 -y the migrations step appeared to hang and in the postgresql (v12.7) log we saw a FATAL error message : Peer authentication failed for user "gitlab".Hung at this point :Recipe: gitlab::database_migrations * ruby_block[check remote PG version] action nothing (skipped due to action :nothing) * rails_migration[gitlab-rails] action run * bash[migrate gitlab-rails database] action runSteps to reproduceFrom a server running v14.4.1 run : apt-get update && apt-get install gitlab-ce=14.5.0-ce.0 -yWhat is the current bug behavior?Tried this step a number of times and the FATAL error occurs every time.What is the expected correct behavior?Migrations should complete successfully and no FATAL error in the Postgresql logs.Relevant logs Relevant logs Postgresql logs :```2021-11-24_11:13:21.86345 DETAIL: Connection matched pg_hba.conf line 70: "local all all peer map=gitlab"2021-11-24_11:13:21.91698 LOG: no match in usermap "gitlab" for user "gitlab" authenticated as "root"2021-11-24_11:13:21.91699 FATAL: Peer authentication failed for user "gitlab"2021-11-24_11:13:21.91699 DETAIL: Connection matched pg_hba.conf line 70: "local all all peer map=gitlab"```Other relevant section of the logs :* file[/opt/gitlab/service/postgresql/log/supervise/ok] action touch (skipped due to only_if) * file[/opt/gitlab/service/postgresql/supervise/status] action touch - change owner from 'root' to 'gitlab-psql' - change group from 'root' to 'gitlab-psql' - update utime on file /opt/gitlab/service/postgresql/supervise/status * file[/opt/gitlab/service/postgresql/log/supervise/status] action touch - change owner from 'root' to 'gitlab-psql' - change group from 'root' to 'gitlab-psql' - update utime on file /opt/gitlab/service/postgresql/log/supervise/status * file[/opt/gitlab/service/postgresql/supervise/control] action touch (skipped due to only_if)cat /var/opt/gitlab/postgresql/data/pg_ident.conf |grep -v "#"gitlab git gitlabgitlab mattermost gitlab_mattermostgitlab /^(.*)$ \1Details of package versionProvide the package version installation detailsapt-get install gitlab-ce=14.5.0-ce.0Environment detailsOperating System: Ubuntu 18.04.5 LTSInstallation Target, remove incorrect values:VM: AWSInstallation Type, remove incorrect values:Upgrade from version v14.4.1Is there any other software running on the machine: Nope.Is this a single or multiple node installation? SingleResourcesCPU: 8Memory total: 16Configuration details Provide the relevant sections of `/etc/gitlab/gitlab.rb` postgresql['shared_buffers'] = "4GB" # recommend value is 1/4 of total RAM, up to 14GB.postgresql['idle_in_transaction_session_timeout'] = "900000"

Extension gives you a view of all the queries that run on your database. This information is useful for understanding your query workload performance on a production system.The pg_stat_statements extension is preloaded in shared_preload_libraries on every Azure Database for PostgreSQL flexible server instance to provide a means of tracking SQL statement execution statistics.For security reasons, you must allowlist the pg_stat_statements extension and install it using CREATE EXTENSION command.The setting pg_stat_statements.track, which controls what statements the extension tracks, defaults to top, meaning all statements issued directly by clients are tracked. The two other tracking levels are none and all. This setting is configurable as a server parameter.There's a tradeoff between the query execution information the pg_stat_statements extension provides on the server performance as it logs each SQL statement. If you aren't actively using the pg_stat_statements extension, we recommend that you set pg_stat_statements.track to none. Some third-party monitoring services might rely on pg_stat_statements to deliver query performance insights, so confirm whether it's the case for you.postgres_fdwThe postgres_fdw extension allows you to connect from one Azure Database for PostgreSQL flexible server instance to another or another database in the same server. Azure Database for PostgreSQL flexible server supports both incoming and outgoing connections to any PostgreSQL server. The sending server needs to allow outbound connections to the receiving server. Similarly, the receiving server needs to allow connections from the sending server.If you plan to use this extension, we recommend deploying your servers with virtual network integration. By default, virtual network integration allows connections between servers in the virtual network. You can also choose to use virtual network network security groups to customize access.pgstattupleWhen using the pgstattuple extension to try to obtain tuple statistics from objects kept in the pg_toast schema in versions of Postgres 11 through 13, you receive a "permission denied for schema pg_toast" error.Permission denied for schema pg_toastCustomers using PostgreSQL versions 11 through 13 on Azure Database for Flexible Server can't use the pgstattuple extension on objects within the pg_toast schema.In PostgreSQL 16 and 17, the pg_read_all_data role is automatically granted to azure_pg_admin, allowing pgstattuple to function correctly. In PostgreSQL 14 and 15, customers can manually grant the pg_read_all_data role to azure_pg_admin to achieve the same result. However, in PostgreSQL 11 through 13, the pg_read_all_data role doesn't exist.Customers can't directly grant the necessary permissions. If you need to be able to run pgstattuple to access objects under the pg_toast schema, proceed to create an Azure support request.timescaleDBThe timescaleDB extension is a time-series database packaged as an extension for PostgreSQL. It provides time-oriented analytical functions and optimizations and scales Postgres for time-series workloads.Learn more about TimescaleDB, a registered trademark of Timescale, Inc. Azure Database for PostgreSQL flexible server provides the TimescaleDB Apache-2

The PostgreSQL database versions 14 and 15. While version 15 is the default, version 14 is still provided through the Legacy module for upgrades from earlier versions of SUSE Linux Enterprise Server. Because of the required migration work of the database, there is no automatic upgrade process. As such, the switch from one version to another needs to be performed manually. The migration process is conducted by the pg_upgrade command, which is an alternative method of the classic dump and reload. In comparison with the “dump and reload” method, pg_upgrade makes the migration less time-consuming. The program files for each PostgreSQL version are stored in different, version-dependent directories. For example, in /usr/lib/postgresql96/ for version 9.6, in /usr/lib/postgresql10/ for version 10, and in /usr/lib/postgres13/ for version 13. Note that the versioning policy of PostgreSQL has changed between the major versions 9.6 and 10. For details, see Important: Upgrading from SLE 11 When upgrading from SLE 11, postgresql94 will be uninstalled and cannot be used for the database migration to a higher PostgreSQL version. Therefore, in this case, make sure to migrate the PostgreSQL database before you upgrade your system. The procedure below describes the database migration from version 12 to 13. When using a different version as start or target, replace the version numbers accordingly. To perform the database migration, do the following: Make sure the following preconditions are fulfilled: If not already done, upgrade any package of the old PostgreSQL version to the latest release through a maintenance update. Create a backup of your existing database. Install the packages for the new PostgreSQL major version. For SLE 15 SP5, this means installing postgresql13-server and all the packages it depends on. Install the package postgresql13-contrib, which contains the command pg_upgrade. Make sure you have enough free space in your PostgreSQL data

Its own set of tables. How Citus Works Learn how Citus works in this talk about Citus table types, the PostgreSQL extension APIs, the Citus query planner, and performance benchmarks comparing multi-node Citus clusters to a single node. Citus Deep Dive What’s New in Citus? Frequently Asked Questions Citus Version Compatible with PostgreSQL 5.2 9.5 only 6.x 9.5, 9.6 7.x 9.6, 10 8.x 10, 11 9.0-9.4 11, 12 9.5 11, 12, 13 10.0.x 11, 12, 13 10.1.x 12, 13 10.2.x 12, 13, 14 11.0.x 13, 14 11.1.x, 11.2.x, 11.3.x 13, 14, 15 12.0 14, 15 12.1 14, 15, 16 13.0 15, 16, 17 Citus achieves order-of-magnitude faster execution compared to vanilla PostgreSQL through a combination of parallelism, keeping more data in memory, and higher I/O bandwidth. Citus enables real-time interaction with large datasets that span billions of records—and is a good fit for customer-facing workloads that often require low-latency response times. Performance increases as you add nodes to a Citus database cluster. This 15-min performance demo from SIGMOD shows how Citus speeds up Postgres, using the HammerDB benchmark. Recently GigaOm published a benchmark performance report for Citus. Find out why benchmarking databases is so hard in this blog post by the lead engineer for Citus. Columnar storage can speed up analytics workloads that benefit from compression, too. The easiest way to start is by utilizing schema-based sharding, which assumes assigning each tenant to a separate schema. Citus then automatically distributes these among the nodes in your cluster and routes queries accordingly. The only change you will need to do in your application is to SET search_path when switching tenants. In some cases like with microservices, even that change may not be necessary if every microservice uses a separate user matching their schema name. If you want the best performance, row-based sharding, using a distribution column is the best approach. The first step in migrating an application from Postgres to Citus is to choose your distribution column (sometimes called a distribution key, or a sharding key.) You’ll want to understand your workload in order to pinpoint a “good” distribution column, e.g.,