Post con #DistributedSQL

#DistributedSQL

Post pubblici su X che usano #DistributedSQL.

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  1. Learn OceanBase@LearnOceanBase
    Relevant results can still be wrong if they belong to a different project version. Search must filter by access & version constraints BEFORE scoring relevance. Governance precedes retrieval. #DistributedSQL #Security #OceanBase
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  2. Learn OceanBase@LearnOceanBase
    Distinguish evidence from guesses. Agents digging deeper need to track which findings are verified. Strong enough evidence supports change. Weak signals require more gathering. Clarity prevents cascading errors. #SRE #DistributedSQL #OceanBase
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  3. Learn OceanBase@LearnOceanBase
    Stateless APIs work for inference. Stateful storage works for engineering workflows. The gap is durable project context. Bridging this requires ACID guarantees on agent memory writes. #DistributedSQL #Backend #OceanBase
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  4. Learn OceanBase@LearnOceanBase
    Eliminate the context loading latency spike at session start. Snapshot restores in milliseconds. Warm starts beat full context windows for interactive speed. #DistributedSQL #LLM #OceanBase
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  5. Learn OceanBase@LearnOceanBase
    Independent verification prevents agent drift. A Verifier checks delivery without executing code. Leaders manage goals, Workers execute. Separating validation from execution ensures correctness. #AgenticAI #DistributedSQL #OceanBase
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  6. Learn OceanBase@LearnOceanBase
    Error codes need keyword search. UI bugs need semantic search. Both need project/version filters. Separate queries fragment context. Hybrid search combines full-text, vector, & structured filters. How it works: #DistributedSQL #AI #OceanBase
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  7. Learn OceanBase@LearnOceanBase
    Business entities rarely match single tables. A "customer" spans profiles, orders, & logs. Ontology assembles fragmented records into one logical object for agents. How models this: #DistributedSQL #AI #OceanBase
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  8. OSS Insight✓@OSSInsight
    @OSSInsight
    HTAP usage in Learn #HTAP database with 3 SQLs 👇👇👇
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    204
  9. TiDB, powered by PingCAP✓@PingCAP
    🌱A database is not built in a day. 🏗️ During the years of building #TiDB, we formed 5️⃣ principles that guide TiDB through a focused yet flexible evolution to an ideal #database. 👀 Hear the details from our CEO @ngaut1👉 #DistributedSQL
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  10. こば -Koba as a DB engineer-@tzkb
    Vitessの開発元PlanetScaleによる、コンセンサスアルゴリズムの解説blog。Distributed durabilityやAvailabilityは良く言われる観点だが、Automationも考えた場合にRaft/Paxosベースのシステムが本当にベストか?という疑問から出発している。 #distributedsql
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  11. こば -Koba as a DB engineer-@tzkb
    やはりこれを解説しておこう。CockroachDBが原子時計なしで分散SQLを如何に構築するかについて。同期化された時刻は分散システムの聖杯で、Spanner以前のPercolatorでは単一の時間ソースと通信が性能を制約し、可用性の向上も難しかった。 #distributedsql
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  12. Learn OceanBase@LearnOceanBase
    Most semantic layers sit outside the database. Tight integration reduces latency & keeps context consistent with transactional data. Co-location is key for real-time agent reliability. #DistributedSQL #SystemDesign #OceanBase
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  13. YugabyteDB✓@Yugabyte
    🚨Download Distributed SQL Databases for Dummies - a @Yugabyte Special Edition for FREE!🚨 Discover why #distributedsql is the ideal scalable, highly available, secure, & flexible #cloudnative solution for a wide-range of use cases! ⬇️
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