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Database table size impacts performance in more ways than one: a) B-tree depth. Using 8k pages and a 16b uuid: 1 level = ~370 rows 2 levels = ~138k rows 3 levels = ~50m rows 4 levels = ~20b rows The lookup cost on a table with 100k rows...

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Ben Dicken

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212,291 Aufrufe • vor 4 Monaten •via X (Twitter)

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rahul

11,550 Aufrufe • vor 1 Jahr

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Santiago

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elsa

5,993,098 Aufrufe • vor 3 Jahren

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FactPost

1,345,565 Aufrufe • vor 11 Monaten

February 1971. State House Entebbe. On the gardens before the grand residence, party was underway. Former monarchs and royal representatives, from Buganda, Toro, Ankole, Bunyoro, sat in rows of chairs. Before them, a table draped in white cloth. Behind it sat Idi Amin, an army officer, and a few white dignitaries. The press stood to the side. Traditional dancers moved in front. The scene was carefully arranged. Amin, chest out, swaggering with the confidence of a man recently crowned by force, sat behind the table with the microphone. Beside him, an army officer and a handful of white dignitaries, lingering evidence of the old colonial networks that still hovered around Uganda's new power. The table was draped in white cloth, and the microphone stood at its centre, waiting to carry his words to the nation beyond the gates. On either side of the table, in neat rows of chairs, sat the remnants of Uganda's ancient dynasties. From Buganda came Prince Badru Kakungulu, Prince Mawanda, and Princess Mazzi, along with Nnabagereka of Buganda, widow of the exiled Kabaka. From Toro came the aged former Omukama, and from Ankole and Bunyoro came their own representatives, princes and elders who had once presided over proud kingdoms. They had come hoping for something. Perhaps restoration. Perhaps recognition. Perhaps simply the assurance that their place in Uganda's story had not been erased entirely. In front of the seated dignitaries, traditional dancers from various regions twirled and stamped, their drums beating out rhythms that predated the colonial era itself. The press stood to the side, cameras clicking, recording every moment for the world outside. It was a spectacle designed to project unity, a gathering of cultures, a celebration of heritage. Then Captain Ochima rose and read the soldiers' declaration. Then Amin himself leaned into the microphone. The message was swift and absolute. Uganda would remain a Republic. The kingdoms would not return. In one gesture, he dismissed both the colonial constitutional compromises and Obote's revolutionary centralism. As he would later declare, "there can be no return of feudal kings or kingdoms, because Uganda is going forward, not backward." The royal representatives listened in silence. They had been honoured, but not restored. Amin had called them to Entebbe not to return their crowns, but to remind them, and the nation, that only one seat of power remained. The message had been delivered. #ughistory Government of Uganda #IdiAmin
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UgHistory

35,040 Aufrufe • vor 22 Tagen

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JupCallers Season 1 is live with up to $5,000 in prizes on the table! Making one call in Jupiter Discord puts your name on the board. From there, the whole community watches you climb and the callers at the top walk away with the cash. Entry is free. The pool grows as more callers qualify, up to 20 paid spots. Plus there’s a Call of the Week prize every single week. Details below 👇

Jupiter

41,696 Aufrufe • vor 25 Tagen

LLMs/general agents still struggle to make sense of messy and complex Excel data. You can't easily dump all cells into the context window, and using the code interpreter is inefficient. LlamaSheets is one of my favorite releases from last year. We've embarked on an effort to build state-of-the-art algorithms and models to segment and parse complex Excel tables - including merged cells, hierarchical rows/columns. This includes both sheet-level and table-level understanding. We think there's a ton of use cases that this can help solve (simplest example: structuring your income/P&L/cash statements to be LLM-ready), and we'd love to get your feedback. Come check it out and let us know your thoughts! Sign up: Docs:
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Jerry Liu

30,162 Aufrufe • vor 8 Monaten

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Alesya

28,561 Aufrufe • vor 2 Monaten

😭😭😭 Impressive AF!!!!!!!!!!!!!!! Jin doing TRX Table Top Rows like it's absolutely nothing is seriously insane. This is one of the toughest suspension-training exercises. You have to keep your body in a strong tabletop position, hips lifted, core fully engaged while rowing your body up and maintaining perfect alignment throughout the movement. It challenges your back, shoulders, arms, and core all at once, and even standard TRX rows are difficult for most people. Meanwhile, Jin is knocking out rep after rep with excellent form, following every coaching cue ("lift your hips like a bridge," keep your gaze up, etc.) and still managing to smile through it all. Sergeant Kim Seokjin era clearly never left. 💪✨ Who else is impressed? Jin never misses. I love you, Jin. 😘 As a gym rat, watching him make one of the hardest TRX variations look effortless is honestly ridiculous.💪😆 NO JIN NO LIFE 🩷 #JIN #방탄소년단진 #진
0:32

😭😭😭 Impressive AF!!!!!!!!!!!!!!! Jin doing TRX Table Top Rows like it's absolutely nothing is seriously insane. This is one of the toughest suspension-training exercises. You have to keep your body in a strong tabletop position, hips lifted, core fully engaged while rowing your body up and maintaining perfect alignment throughout the movement. It challenges your back, shoulders, arms, and core all at once, and even standard TRX rows are difficult for most people. Meanwhile, Jin is knocking out rep after rep with excellent form, following every coaching cue ("lift your hips like a bridge," keep your gaze up, etc.) and still managing to smile through it all. Sergeant Kim Seokjin era clearly never left. 💪✨ Who else is impressed? Jin never misses. I love you, Jin. 😘 As a gym rat, watching him make one of the hardest TRX variations look effortless is honestly ridiculous.💪😆 NO JIN NO LIFE 🩷 #JIN #방탄소년단진 #진

🎸JIN RADIO TASKS

35,081 Aufrufe • vor 3 Monaten

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!
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Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!

Avi Chawla

187,076 Aufrufe • vor 8 Monaten