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Posts by: Josef Machytka
JM

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Josef Machytka

13 May 2025

PostgreSQL Conference Germany 2025

PGConf.DE 2025, the 9th Annual PostgreSQL Conference Germany, was held on May 8–9, 2025, at the Marriott Hotel near Potsdamer Platz in Berlin. The event interconnected PostgreSQL enthusiasts, developers, DBAs, and industry sponsors for two days of fascinating talks across four parallel tracks. It was the biggest event so far, with 347 attendees. The whole […]

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14 February 2025

Prague PostgreSQL Developer Day 2025

The Prague PostgreSQL Developer Day (P2D2) is a well-established Czech PostgreSQL conference. This year’s 17th edition was exceptional, with 275 registered visitors and 16 talks across two tracks. Notably, several major PostgreSQL contributors and core members were present, underlining the event’s significance. Tomas Vondra, as in previous years, organized the conference. Bruce Momjian, Vice President […]

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04 December 2024

Unique Constraint Violations During Inserts Cause Bloat in PostgreSQL

The issue of table and index bloat due to failed inserts on unique constraints is well known and has been discussed in various articles across the internet. However, these discussions sometimes lack a clear, practical example with measurements to illustrate the impact. And despite the familiarity of this issue, we still frequently see this design […]

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15 October 2024

TOASTed JSONB data in PostgreSQL: performance tests of different compression algorithms

TOAST (The Oversized Attribute Storage Technique) is PostgreSQL‘s mechanism for handling large data objects that exceed the 8KB data page limit. Introduced in PostgreSQL 7.1, TOAST is an improved version of the out-of-line storage mechanism used in Oracle databases for handling large objects (LOBs). Both databases store variable-length data either inline within the table or […]

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08 October 2024

Different aspects of AI hallucinations: factual errors vs creativity

The topic of AI “hallucinations” has gained considerable attention in discussions surrounding large language models (LLMs) and generative AI. Some view it as the most significant flaw of LLMs, undermining their usability. Yet others see it as a potential source of new ideas. Let us delve deeper into this issue. To understand this phenomenon, it is […]

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