MySQL Camp II – Memorable Quotes Day 1

Better late then never, this week I finally have the chance to catch up on some overdue posts. At the first MySQL Camp I made a list of memorable Quotes, see Day 1 , Day 2 , Day 3 . I didn’t get as much chance as last time, however here are some pearls of the recent MySQL Camp II .

“I walked in of the street for the free food. I’m here for the free education” – Adrian.

“I’m his boss, I’m here to make sure he’s really here, and not playing hooky.”

“Mashups, collating the worse bugs from multiple API’s all in one place” – OSCON badge

“Compiles 114,000 combinations of MySQL that we are interested in.” Sandro – Skoll Project — You mean to say there are are combinations your not interested in.

“Ok, people this is the second site were are going to crash today. You have heard you have been slash dotted, now you have been camped.”

Jay turning down the lights, to the whole auditorm, not just the stage. “That won’t work. My paper isn’t backlit.” — Andrew

Jeremy: “It’s a porn site.”
Sheeri: “technocation.com it’s not a porn site, I work for a porn site.”

Jeremy: “You don’t realize how many Google properties you use, google reader was down, google search was down, google maps was down.”
Sheeri: “I had to use Yahoo maps, I feel so dirty.”

Jay: “How many people are interested in a tour of the MySQL Source Code.”
Jeremy II: “It is a guided tour, isn’t it.”

“I can’t remember if was the cold, hot or luke warm”. — Bob, In the backup talk.

“How many environments have it. They all have the presumption of it.”

Tagged with: Databases MySQL MySQL Camp 2 - 2007

Related Posts

Fixing Old Software Bugs Without Thinking

I previously came across an issue in my benchmarking work where I relied on the Latency Histogram section of sysbench output. On Linux it worked fine — I generally ran my workload there, so it never mattered.

Read more

Curating DuckDB Datasets Leveraging AI

In Curated MySQL Data Sets for Realistic Testing I described datasets assembled the manual way — download, schema, load, validate, document — over hours or days per source. This post is the follow-up I promised: what changes when AI assists the same workflow, using DuckDB as the target engine and GeoNames as the first example.

Read more

Why INSERT IGNORE should not be used

Let’s say you’re building a reference table from source data, e.g. a silver medallion table from a primary source. In this example I am using a file of random locations on the globe extracted from OpenStreetMap (OSM) as my primary source.

Read more