Top Tweets for #DistributedSQL
Linear analysis fails when leads go cold. Agents must backtrack to previous candidates & compare directions. Flexible exploration logic matters more than finding the first plausible answer. #AgenticAI #DistributedSQL #OceanBase
Flat metric lists create confusion when names overlap. Narrow searches by domain, object, then definition. Hierarchical filtering prevents grabbing similar-looking but irrelevant metrics. #DistributedSQL #Tech #OceanBase
Don't load all knowledge into the context window. Provide objects & relationships for the current decision step only. Incremental context reduces noise & keeps agents focused. #AgenticAI #DistributedSQL #OceanBase
DAB spans finance, biomedical, IP, & media—not just clean schemas. Agents must handle domain-specific metrics across heterogeneous sources. Generalizability needs beyond query generation. Architecture walkthrough: #DistributedSQL #AI #OceanBase https://t.co/TKAG9B6NEr
Flat metric lists confuse agents w/ similar names. Organize by business domain first. Narrow search by object → attributes → rules. Reduces candidate confusion significantly. #DistributedSQL #Analytics #OceanBase
SQL-joinable fields ≠ meaningful business logic. Agents need validated relationships, not just schema links. Prevents nonsensical analysis paths. How implements this: #DistributedSQL #AI #OceanBase https://t.co/tMSZvxeRDX
Agents shouldn't start with the number. Start with the business object. Inspect attributes, trace relationships, then apply metric rules. This order ensures context before calculation. #DistributedSQL #DataModeling #OceanBase
Two fields might be joinable in SQL but meaningless in business logic. Physical schema relationships ≠ business relationships. Ontology validates connections against actual practices, not just foreign keys. #DistributedSQL #DataEngineering #OceanBase
A ranking isn't valid without a defined comparison set & ordering rule. Agents must enforce these contracts before returning results. Validity depends on context, not just sort order. #DistributedSQL #AI #OceanBase
Workflows compile into data-kernel operations & validate before dispatch. Source-specific queries combine intermediate results. Cross-database analysis requires strict validation. How compilation ensures safety: #DistributedSQL #AI #OceanBase https://t.co/TKAG9B6NEr
Workflows compile into data-kernel operations & validate before dispatch. System issues source-specific queries & combines intermediate results in a workflow. #CloudNative #DistributedSQL #OceanBase
Two fields that appear joinable do not necessarily form a relationship that makes sense in business terms. Physical schema ≠ business logic. Validate objects & relationships against actual practices. #DistributedSQL #Architecture #OceanBase
Network threads are shared across all tenants in the cluster. While compute & storage are isolated, network I/O capacity remains a shared pool to manage. #DistributedSQL #Networking #OceanBase
Workflows should compile into data-kernel operations before dispatch. Validating source roles, field bindings, & filtering scope early prevents execution errors in complex pipelines. #DistributedSQL #AI #OceanBase
AI agents can calculate cost correctly but explain it using general knowledge instead of your actual data relationships. The number is right, the reasoning is hallucinated. #DistributedSQL #CloudNative #OceanBase
Treat ontology as a business map. Nodes represent objects like customers & orders. Edges define relationships. This graph lets agents trace data lineage without learning underlying table schemas. #DistributedSQL #DataEngineering #OceanBase
Memory over-commitment is a stability risk. Since V4.0.0, strict enforcement prevents tenants from starving each other during spikes. Guarantees matter more than theoretical density when payments are on the line. #SRE #DistributedSQL #OceanBase
Complex analysis tasks compile into data-kernel operations validated before dispatch. This stops invalid plans from ever hitting the database engine. #DistributedSQL #AI #OceanBase
A unified engine supports relational, JSON, full-text, & vector data so structured filters & hybrid search can be handled in a single database. This avoids stitching results from separate systems. #Database #DistributedSQL #OceanBase
Distributed agents risk state divergence. If two hosts read stale context, work conflicts occur. Infrastructure must enforce consistency guarantees during handoffs to prevent race conditions. #DistributedSQL #AgenticAI #OceanBase
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