Gregory Smolkin
Gregory Smolkin Postgres Professional
14:30 03 February
90 мин

Database backup with pg_probackup

pg_probackup is a flexible tool that allows choosing the backup strategy depending on the write load of the PostgreSQL cluster, as well as offers a number of other features that can facilitate this vital aspect of database maintenance. In this tutorial, we will see how to apply this tool in practice.


Другие доклады

  • Алексей Лесовский
    Алексей Лесовский PostgreSQL Consulting LLC
    45 мин

    PostgreSQL Scaling Usecases

    Today no one is surprised by cloud infrastructure anymore, but not all its components are easy to deploy in cloud. For example, the database is always very demanding in terms of performance and resources. Scaling and fault tolerance are the most acute problems, that's why we have been observing rapid development of alternative DBMS in the recent years. However, traditional relational DBMS have already accumulated a lot of various features, so they often remain the first choice. Besides, they are constantly evolving and offer a wide variety of scaling tools. I will mainly speak about PostgreSQL, when you should consider scaling, and how to do it right.

    We will touch upon the following topics:
    - Streaming replication and balancing read/write workloads
    - Logical replication and data sharding
    - High availability and fault tolerance

    This talk should be interesting to DBAs, system administrators, team leads, infrastructure architects, as well as wider audience dealing with PostgreSQL.

  • Bruce Momjian
    Bruce Momjian EnterpriseDB
    45 мин

    Non-Relational Postgres

    Postgres has always had strong support for relational storage. However, there are many cases where relational storage is either inefficient or overly restrictive. This talk shows the many ways that Postgres has expanded to support non-relational storage, specifically the ability to store and index multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage. The talk will cover many examples of multiple-value-per-field storage, including arrays, range types, geometry, full text search, xml, json, and records.

  • Alexander Korotkov
    Alexander Korotkov Postgres Professional
    45 мин

    What's new in PostgreSQL 13?

    PostgreSQL 13 Feature Freeze is scheduled for April 2020. Two more commitfests are still accepting new patches. What we can say about PostgreSQL 13. It's possible that rotation rule will work so that new release wouldn't have as many new features as PostgreSQL 12 have. If even it is do, that would be good evolutionary release with a lot of medium feature and infrastructure changes, which prepares postgres for new leap. In this talk I will overview expected novelties in PostgreSQL 13. It would be more or less accurate, since there would be only one commitfest left, which results are possible to forecast.

  • Egor Rogov
    Egor Rogov Postgres Professional
    45 мин

    A retrospective look at the statistics

    To build a decent query plan, the optimizer has to understand statistical characteristics of underlying data. It is interesting to observe how the structure of the collected information became more complicated over time: what the optimizer relied on back in its early days and what is at his disposal now with the release of the 12th version. We will also talk about how and when statistics are collected, how to manage this process and whether it is necessary to think about it at all.