GB/T 41818-2022 in English
VALIDInformation technology—Big data—Technical requirements for analysis-oriented data storage and retrieval
- Issued on:2022-10-12
- Implemented on:2023-05-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$214.00
《GB/T 41818-2022信息技术 大数据 面向分析的数据存储与检索技术要求》由TC28（全国信息技术标准化技术委员会）归口，主管部门为国家标准化管理委员会。
Introduction
Standard Evolution and Value Positioning
As the first professional standard focusing on analytical big data storage, this document establishes the columnar storage architecture proposed by Huawei Technologies as the core technology route. Compared with traditional benchmarks such as TPC-DS, it focuses on solving the storage retrieval efficiency problem with ETL latency exceeding 90%, meeting the scalability requirements of EB-level data centers in 2030.
Analysis of core technology architecture
Dynamically scalable data table structure
| Data unit | Storage granularity | Partition dimension | Index characteristics |
|---|---|---|---|
| Subtable | PB~EB level | Time/geographic stratification | Support B+Tree/Bitmap combination |
| Row group | Thousands of rows | Hot data first | Lightweight BitPacking index |
20 core parameter specifications for OLAP retrieval
In the China Mobile Scenic Spot Passenger Flow Analysis System, by optimizing the threshold automatic adjustment algorithm of data pages, the latency of trillion-row queries was reduced by 32%, verifying the effectiveness of the standard 6.5 clause column group dimension sharding.
Comparison of key technologies
| Technical dimensions | Requirements of this standard | Traditional warehouse solutions | Improvement percentage |
|---|---|---|---|
| Storage throughput | ≥100,000 rows/second | 58,000 rows/second | 72.4%↑ |
| Index recovery speed | Asynchronous build | Synchronous forced | Delay reduced by 87% |
Scenario-based implementation path recommendations
- E-government big data uses hybrid EC encoding
- Industrial time series data prioritizes V-Order sorting
- Retail industry deploys Kudo storage optimization
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