title

text

Тарас Чикин
Тарас Чикин Цифромед
: December
45 мин

To Eat "the Elephant" in chunks: how we made friends with MSSQL, Postgres, wrote our replication, and transferred to Postgres one of the largest MISes in Russia.

It is our experience of the medical information system "RT MIS" transfer from MSSQL to PostgreSQL . When the necessity of transfer to PostgreSQL in our "RT MIS", one of the largest medical information systems, became imminent, we felt really terrified having assessed its amount: there was a huge number of stored procedures, functions, SQL-queries in its application code and services. It all requested transcribing, was exacerbated by demands on the system accessibility. So the variant "we awoke in the morning and PostgreSQL was working everywhere" was definitely impossible. That is why we chose another way: began eating "the elephant (PostgreSQL)" in chunks.

In my report, I am going to share our practical experience of the transfer, the instruments we used, the reason for another replication, the problems we met and their solutions. And finally, what turned out to be better: PostgreSQL or MSSQL.

Слайды

Видео

Другие доклады

  • Иван Чувашов
    Иван Чувашов ООО Calltouch
    22 мин

    Migrating data from Oracle to PostgreSQL using the Pentaho tool

    When migrating data from one DBMS to another, the question arises: choose a third-party tool or to program the migration yourself? Companies, trying to grow competencies within themselves, choose the second option. And they come across the "invention of their own bicycles". However, the market has powerful free data migration tools. One such tool is Pentaho Data Integration, part of the Pentaho Community Edition. The report will discuss the use of this package for data migration between Oracle and PostgreSQL. Particular attention will be paid to the problems with using this tool, and to the tasks of testing for the completeness and integrity of migrated data.

    Small video illustration:

  • Oleg Bartunov
    Oleg Bartunov Postgres Professional
    45 мин

    Everything about full text seach

    PostgreSQL built-in full text search gives unique possibilities inaccessible for external search engines, such as virtual or generated document search and search with access restrictions. I will talk about these and other features, full text search configuration, indexes, and highlight the latest advances and future expectations

  • Álvaro Hernández
    Álvaro Hernández OnGres
    180 мин

    Kubernetes crash course for Postgres DBAs

    Kubernetes is the new way of deploying software, programmatically, on almost any infrastructure (be it cloud or on-prem). But is a complex beast. How to get started? How to dive deeper? What are the specific best-practices and special hints for Postgres DBAs dealing with Kubernetes? Join this half-day tutorial to learn, practically, among other topics:

    • How to quickly get started with Kubernetes
    • Manage storage
    • Manage services, networking and ingress/egress
    • How to make Postgres cloud-native in Kubernetes
    • Do a show-run of existing Postgres operators, including Zalando, CrunchyData and StackGres.

    This tutorial is very practical. BYOL! (Bring Your Own Laptop). With Kubernetes installed! (check microk8s, minikube or k3s if you don’t have any installed.

  • Александр Спирин
    Александр Спирин Лига Цифровой Экономики
    Кирилл Калистратов
    Кирилл Калистратов InCountry
    22 мин

    PostgreSQL Citus vs MongoDB sharded

    We would like to share our test results (including performance testing) of PostgreSQL/Citrus and MongoDB for our company's data. It has been a very exciting process with unexpected turns and a somewhat controversial outcome.