Speaker Interview with Aya Iwata
- Data Compression in PostgreSQL and its future
- Wednesday 15:40
- Foscolo
- Could you briefly introduce yourself?
- My name is Aya Iwata. I live in Kobe, Japan and work as a software developer for almost 4 years. I like coding and eating pizza. If you know the delicious restaurant pizza, please tell me.
- How do you engage with the PostgreSQL Community?
- I have been developing PostgreSQL since 2016 and also worked as a steering committee member in PGConf.ASIA 2018 in Japan. In PostgreSQL development, I've worked on client features, including community and extensions such as Npgsql and PgJDBC.
- Have you enjoyed previous pgconf.eu or FOSDEM conferences, either as an attendee or as speaker?
- Not yet. This is my first time. So I am looking forward to attend pgconf.eu as a speaker.
- What will your talk be about, exactly? Why this topic?
- My talk is about data compression in PostgreSQL. First, I will introduce features that can be used in current PostgreSQL. Second, I will introduce under development features in the community, too. Finally, I will explain an implementation of the row format compression feature I want to propose PostgreSQL.
- There are two purposes of this topic. One is to introduce the users to PostgreSQL compression features. Other one is to seek advice on the proposed implementation.
- What is the audience for your talk?
- Anyone who is interested in compression features in current PostgreSQL and those who would like to develop compression features further.
- What existing knowledge should the attendee have?
- No special prerequisite knowledge is required.
- I will talk about the structure of the page, so if you read the "68.6. Database Page Layout" item in the PostgreSQL document, it would be easier to understand.
- What is the one feature in PostgreSQL 12 which you like most?
- Pluggable storage interface (Table access methods).
- Which other talk at this year's conference would you like to see?
- Which measure, action, feature or activity would—in your eyes—help to accelerate the adoption of PostgreSQL?
- Scale out features.