Бесшовная оптимизация запросов PostgreSQL, версия 2.0
There are two types of SQL query analysis:
"Macro": analyzing the workload as a whole (three major approaches: using metrics provided by pg_stat_statements or similar, log analysis with pgBadger or similar, and sampling of pg_stat_activity)
"Micro": diving into details of single query execution (EXPLAIN command being the central tool here)
And there are huge gaps between them that become noticeable at scale. The main challenges:
- Switching between "macro" and "micro" without a huge overhead
- Verifying optimization ideas reliably
- Deploying changes risk-free
Solving these tasks at a scale requires advanced DBA experience and–sometimes–intuition. Or better tools that (fortunately!) very recently started to appear.
In this tutorial, we will learn how to establish a smooth and seamless SQL optimization process in your organization: * what tools should you choose in your particular case? * how to close the gaps mentioned above?
Видео
Другие доклады
-
90 мин
.jpg.180x180.jpg "Mahmoud SAKR")
Mahmoud SAKR université libre de bruxelles
Esteban Zimányi ULBУправление данными подвижных объектов с MobilityDB
MobilityDB is a moving object database extension to PostgreSQL and PostGIS. It has types and functions for storing an querying geospatial trajectories, as first class citizens. The main type is called tgeompoint (temporal geometry point). It represents a complete movement track of a geometry point, such as a car, a bird, or a person. The function speed(tgeompoint) computes the time varying speed of the object, as a tfloat (temporal float). Similar to these examples, MobilityDB has 6 temporal types, and over 300 functions. As such, it is a function-rich platform for Mobility Data Management.
In this tutorial you will:
- learn about moving object databases
- write MobilityDB SQL queries and explore a database of geospatial trajectories
- walk through the different type, indexes, and functions of MobilityDB.
-
22 мин
Alexey Lesovsky Data EgretNoisia - генератор аварийных и нештатных ситуаций в PostgreSQL
Noisia is the result of my past attempts to gather all the tools for reproducing various incidents with Postgres.
Noisia is an utility for easy creation of artificial incidents in a Postgres database. This talk will describe the reason for artifical incidents creation, what Noisia does and what is it's possible use. Also I will share the future development roadmap.
-
22 мин
Alexander Nikitin ЗАО «ЦФТ»Неочевидные моменты процесса копирования и переноса баз данных и кластеров PostgreSQL
Cloning and transferring PostgreSQL databases & clusters often looks simple.
However, you can get confused while performing these simple operations, too. During my presentation, I will explain which pitfalls you may face while cloning and transferring PostgreSQL databases & clusters. We'll see what can be done to improve the performance of these operations and list the unexpected issues that arise while performing these seemingly simple operations.
-
45 мин
Иван Чувашов ООО CalltouchЖизнь DBA в онлайн-кинотеатре "OKKO"
Okko is one of the largest legal online cinemas in Russia. Our catalog contains 60 000 movies, cartoons and TV series. Since its starting, the service has been visited by over 20 million users. The monthly audience is 2.8 million people. All these figures speak of a reliable high-load service.
As DBA, I will mainly talk about databases (PostgreSQL, Cassandra, Redis) that are used in the company. We'll take a closer look at PostgreSQL on the topics of high loads, monitoring, optimization, backup and recovery.