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I'm lately back from Chicago, where PG DATA 2026 is now in the books!
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A "fitness landscape" is a topographical metaphor for evolutionary success.
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At my day job, we use row-level security extensively.
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In what I can't say isn't a tradition at this point, we're in an odd-numbered year so there's news on the pdot front!
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Let's say you have two rasters, and you want to combine them with some extra value math -- perhaps you want to grade grassland around 50°N 100°E by latitude and elevation, so blue to green to red the more northerly or higher up the point.
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Of late, I've been falling down a bunch of geospatial rabbit holes.
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Welcome to Squaria.
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A couple years ago, I wrote about exploring a running database by plotting relevant subsets of the foreign key relationship graph in dot and piping the resulting images directly to the terminal.
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Another Phriday in the books, and it's time to see what all happened: Hari Kiran offered an introduction to the concepts and processes used in schema evolution with examples showing how to use Flyway, a popular Java-based tool.
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I've used several migration frameworks in my time.
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It's almost Phriday again!
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pg_stat_statements for May.
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Here is a summary of the rules for substitution; this assumes that braces are present around the substitution, i.e. ${...}.
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It's triggers this time!
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MassiveJS version 7 went places. await db.select( db.libraries .join(db.holdings) // implicit join on foreign key holdings.library_id .join(db.books) // implicit join on foreign key holdings.book_id .join(db.authors, db.
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While we are concentrating on our task, both our tools and our materials merge into one entity of perception which gives us feedback about state and progress of our work....
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Eight days, eight data analysis puzzles, eight solutions.
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The team I work with at my day job maintains many applications and processes interacting across a smaller number of databases.
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In "things you can do with a terminal emulator that renders images": One way to look at a database's structure is as a graph of foreign key relationships among tables.
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Update: mcfly already existed, with a slightly different approach (neural network instead of structural analysis) with a lack of fuzzy searching its only real downside, so I added that there.
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A little while back I got my hands on a copy of Software Development and Reality Construction, the output of a conference held in Berlin in 1988.
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MassiveJS version 6 is imminent.
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Anybody doing something interesting to a production Cassandra cluster is generally advised, for a host of excellent reasons, to try it out in a test environment first.
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One of my favorite good ideas to ignore is the maxim that you should have your deployment pipeline ready to go before you start writing code.
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There's a new button at the bottom of this (and each) post.
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NDC talks are up!
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At a talk I gave earlier this month, an audience member asked if Massive supported joining information from multiple tables together.
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The shell has just about all the tooling I need for day-to-day operation of a computer: navigating and managing directories and files, text editing, and building, testing, and running projects I'm working on.
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Maven's probably the only all-in-one build tool I've ever really appreciated.
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I should probably say up front that I love working with Postgres and could die happy without ever seeing a mysql> prompt again.
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I write a lot of integration tests that operate on data.
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This is a feature I added to Massive recently.