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This SQL query looks like it should fail immediately. Instead, it runs and quietly returns the wrong result. Why doesn’t the database complain?

Google for Developers

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11,376 次观看 • 8 个月前 •via X (Twitter)

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This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually return?

This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually return?

Google for Developers

10,023 次观看 • 8 个月前

🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

Jeff Boudier 🤗

19,703 次观看 • 1 年前

This is a tool that used GPT that lets you connect to PostgresDB or MongoDB, lets users type in questions, and it generates the query code (even advanced table joins), runs the code and returns the answer instantly. Like a query co-pilot. Here are my thoughts 👇🏻

This is a tool that used GPT that lets you connect to PostgresDB or MongoDB, lets users type in questions, and it generates the query code (even advanced table joins), runs the code and returns the answer instantly. Like a query co-pilot. Here are my thoughts 👇🏻

Duy

68,809 次观看 • 3 年前

Visualizing a SQL query in 5 mins SQL statements are executed by the database system in several steps, including: - Parsing the SQL statement and checking its validity - Transforming the SQL into an internal representation, such as relational algebra - Optimizing the internal representation and creating an execution plan that utilizes index information - Executing the plan and returning the results

Visualizing a SQL query in 5 mins SQL statements are executed by the database system in several steps, including: - Parsing the SQL statement and checking its validity - Transforming the SQL into an internal representation, such as relational algebra - Optimizing the internal representation and creating an execution plan that utilizes index information - Executing the plan and returning the results

Alex Xu

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If this is wrong, why doesn’t it feel wrong?

If this is wrong, why doesn’t it feel wrong?

Doctor jii…

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Another insane Jev use case! Traditional database filters need precise, predefined conditions. But many questions are semantic: - Is this article mainly about software engineering? - Which topic best describes it? - How technically deep does it appear? These usually require moving rows into application code, invoking a model, parsing its output, and writing the result back. pg-jev is an open-source Postgres extension that exposes Jev through SQL functions. - jev() works inside WHERE - jev_prob() returns a probability - jev_choice() selects a label - jev_score() ranks rows across ordered levels. It needs no vector column or embedding index. Under the hood, pg-jev batches rows, sends them to Jev, and returns typed answers that SQL can filter, sort, group, and combine with exact predicates. The recording below runs it against real Hacker News stories stored in Postgres. It first shows the rows, then asks Jev to find software-engineering stories, classify them by topic, and rank them by technical depth. The final query reports requests, tokens, cost, and cache hits from the database session. GitHub repo: (don't forget to star it ⭐) Postgres keeps the data and controls the query, while Jev handles the part SQL cannot express as a deterministic condition. If you want to understand what Jev is doing under the hood, I also wrote a hands-on guide to building a Jev-style model with open models, entirely locally. Read it below.

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This is the most overvalued the stock market has been in modern history. And retail is still buying like nothing is wrong. We have seen this exact shape before: → Dot-com → Housing → AI Every one topped quietly while everyone was still bullish, then broke. The S&P is already tracing it, and SpaceX is the last liquidity event before it goes. When it breaks, the money does not vanish. It looks for the exit. Watch where it runs.

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If Kyle was mad about the lesbian comment, she should have said something at the moment instead of laughing it off. This is why she comes across as so fake and a victim. Why complain about it at the reunion when she could have called Garcelle out? #RHOBH

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Looks like it runs in the family 😎

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