![Dmitry Melnik Dmitry Melnik](/media/2017/01/24/melnik-2013-2017.jpg.180x180.jpg)
Dynamic Compilation of SQL Queries in PostgreSQL Using LLVM JIT
Currently, to execute SQL queries PostgreSQL uses interpreter, which implements Volcano-style iteration model. At the same time it’s possible to get significant speedup by dynamically JIT-compiling query “on-the-fly”. In this case it’s possible to generate code that is specialized for given SQL query, and perform compiler optimizations using the information about table structure and data types that is already known at run time. This approach is especially important for complex queries, which performance is CPU-bound.
Слайды
Другие доклады
-
Dmitry Susha ООО Испаер Системс
Automation of migration to PostgreSQL from various databases
The report is focused on the topic of automation of migration to PostgreSQL from other databases using Ispirer Migration and Modernization Toolkit. The issues of data and SQL code migration, conversion of client applications, embedded SQL and database API will be covered, the examples of implemented projects of migration from Oracle to PostgreSQL and from Microsoft SQL Server to PostgreSQL will be given.
VIDEO
-
Pavel Luzanov Postgres Professional
Tools for server code debugging, profiling, and tracing
Debugging, profiling, and tracing of the executed commands play an important role in development of any applications. This is also true for developing stored procedures in DBMS.
PostgreSQL offers various tools (both built-in and external) for these purposes.
In this talk, we will provide an overview of the available tools and their advantages and disadvantages, as well as a detailed demo of their use cases.
This talk is a part of a basic course for backend application developers (DEV1), which “Postgres Professional” company plans to announce in the near future.
-
Masahiko Sawada NTT OSS Center
Buit-in Sharding update and future
Database sharding enables a distribution of the database over a large number of machines, greatly improving performance. With the advent of Foreign Data Wrappers (FDW), it's possible to consider a database sharding in PostgreSQL with acceptable level of code changes using FDW. We've been working on enhancing around FDW infrastructure such as foreign table inheritance and pushing down so that PostgreSQL can execute the distributed query efficiently using FDW. In this talk, I'll cover what FDW-based sharding is and what use-cases it can cover. And then I'll demonstrate how to build sharding and describe our achievement of a FDW-based sharding in PostgreSQL community. Finally, I'll describe further enhancements to FDW such as Async Execution and Distributed Transaction Support.
-
Igor Vedyohin IBS