관심도 점수
100
- 검색 slug
- postgresql
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- Hacker News, GitHub, arXiv
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- and, the, for, database, postgresql, data, with, are
- 마지막 수집
- 2026-07-25T08:58:31.763Z
출처별 탭
FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
Clinical biomarker workflows in translational research settings often rely on spreadsheet-driven tracking, manual quality control (QC) reconciliation, and loosely integrated systems, resulting in limited state visibility, delayed reporting, and increased operational risk. These challenges are particularly pronounced in multi-day assays such as Luminex-based quantification of Fragile X Messenger Ribonucleoprotein (FMRP), where HIPAA-compliant data governance, deterministic workflow progression, and coordinated comm...
RCC: Speculative Write Versioning with Redo Logs
Modern OLTP engines rely on multi-versioning to eliminate read-write conflicts, yet their concurrency is severely limited for write-write conflicts. The conventional wisdom of updating records in place and immediately causes only one transaction to update a record at a time, and other update-conflicting transactions to wait for the former to commit or abort. Thus, conflicting transactions are serialized. We propose RCC, which leverages redo logs to resolve conflicting writes. A transaction updates a record out of...
When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets
Software configuration tuning is crucial for optimising system performance, and various optimisers have emerged over the last decade. Yet, the time required during the tuning process may vary across systems. In some systems (e.g., PostgreSQL), it may take a few minutes to measure a configuration, whereas in some others (e.g., MariaDB), it can take several hours. Moreover, even within the same system, users may have varying budgets and preferred settings. This naturally raises a question -- Given a budget level, wh...
Copy-on-Write Scoring: Application-Specific Agent Evaluations
Trustworthy deployment of LLM-based agents in software systems requires evaluating how they perform on application-specific workflows, with enough granularity to localize where they succeed and fail. Yet existing agent evaluation mechanisms are limited: benchmarks have low construct validity for application-specific workflows and environments, and replica evaluation environments are expensive and prone to drift. We propose Copy-on-Write (CoW) Scoring, a framework that evaluates agent operations directly within app...
Aurora DSQL: Scalable, Multi-Region OLTP
Aurora DSQL is a serverless SQL database designed for cloud-scale transaction processing with multi-region active-active capabilities. Built on a disaggregated architecture, DSQL separates compute, storage, and transaction coordination into independent, horizontally scalable services. Query processors run in Firecracker MicroVMs executing PostgreSQL-compatible SQL without local state. The system uses multiversion concurrency control with precision timestamps for coordination-free reads and optimistic concurrency c...
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass
Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access is guarded entirely by the database driver, like JDBC or ODBC, forcing all reads through query execution and other driver layers that are not designed for bulk columnar analytics. We present Jailbreak, an approach that bypasses the database engine entirely by reading storage files directly and materializing data as in-memory columnar buffers. Jailbreak's key insight is that database file formats, w...
BaCon: Efficient Batch Processing of Counting Queries [Full Version]
Counting queries are ubiquitous in database systems, particularly for driving internal system optimization. Learned models for cardinality estimation rely heavily on large-scale training data, yet generating such data by executing massive batches of counting queries is expensive. We propose BaCon, an efficient algorithm for batch evaluation of counting queries on top of a database system, without modifying its internals. BaCon integrates the idea of factorized databases with a workload-aware domain quantization st...
From Single to Multiple Attributes: Experimental Insights on Sampling-Based Distinct Combination Estimation in GROUP-BY Queries
Estimating the number of distinct combinations in multi-attribute GROUP-BY queries remains a significant yet underexplored challenge. Current cardinality estimation techniques primarily focus on SPJ queries (i.e., selections, projections, and joins) and neglect GROUP-BY operations; meanwhile, distinct value estimation research has mainly targeted the single-attribute setting. Although sampling-based methods, including recent approaches with learned models, can theoretically support multi-attribute estimation, thei...
SessionBound: Turning Enterprise Task Approval into Budgeted Database Sessions
Enterprise AI agents are useful for internal analysis, audit, compliance review, and operational investigation, but they create a difficult authorization problem. A manager or data owner may approve a business task, while the agent later generates open-ended SQL below the application layer. Existing systems help identify agents, delegate authority, govern data products, or enforce database policy, but they do not directly turn an approved enterprise task into a bounded database execution context. SessionBound fill...
HyphaeDB: A Living Knowledge Topology for Agent-First Memory
Every existing vector database and agent memory framework treats memory as passive storage that agents query explicitly. No system propagates knowledge between agents through the memory layer itself. We introduce HyphaeDB, an agent-native memory infrastructure that reinterprets the Hierarchical Navigable Small World (HNSW) graph topology the data structure at the core of every modern vector database not as a search optimization, but as a communication fabric for multi-agent AI systems. In HyphaeDB, agents are node...
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