Beijing Unicom Streaming Media Log Query Platform Project — Transforming Unstructured Data for Unified Log Management

After completing the IPv6 streaming media system upgrade, the Broadband Business Center of China Unicom Beijing needs to implement user access statistics to enable in-depth analysis of user behavior, rapid fault location, and swift response to customer complaints, thereby improving customer satisfaction. This will also provide high-value data support for business analysis, marketing, and operations. The Center's various systems generate massive amounts of unstructured and semi-structured log data daily, including fault information and user access details. These log files must be uniformly transformed and stored to unlock their information value.

A unified log management platform must be built around all streaming media systems in the broadband service center, enabling structured transformation and storage of complex log files to effectively address challenges such as massive data volume, complex structure, and high response requirements. The system should provide petabyte-scale log compression storage and efficient statistical analysis capabilities, with processing capacity at the hundred‑terabyte level and sub‑second response for complex analytical queries, ensuring effective monitoring of business system operations.

This solution leverages GBase 8a MPP Cluster to build an IPv6 streaming media log management platform. A log file loading tool analyzes, cleans, and transforms log files from various systems, loading them as structured data into GBase 8a MPP Cluster for storage. The core of the platform is a new-generation columnar GBase 8a MPP Cluster database built on an MPP + shared-nothing architecture, ensuring complete, consistent, and persistent log storage. Through GBase 8a MPP Cluster's standardized interfaces, it connects with upper-layer BI applications, supporting ad hoc queries, multidimensional analysis, interactive reports, and other rich analytical capabilities.

Management Upgrade: Customized conversion tools transform unstructured and semi-structured log files into structured data, enabling automated processing and storage while reducing the effort and cost of manual log maintenance. The system provides standardized SQL and third-party application interfaces, laying the foundation for in-depth log analysis, value mining, and visualized management.

Performance Enhancement: The streaming media log management platform delivers high-performance query response and efficient database-driven associative querying and statistical analysis, ensuring processing efficiency for applications such as issue detection and user behavior analysis.

Cost Savings: The low-cost architecture based on PC servers, Linux, and local disks reduces upfront hardware investment. Log data is stored with a high compression ratio of 10–20x or more, saving disk space and ongoing power consumption.