Case Study: Zhaopin improves search log analysis and query efficiency with StreamNative Pulsar SQL

Why Zhaopin Chooses Pulsar SQL for Search Log Analysis

Zhaopin, one of China’s largest online recruiting platforms, needed a better way to analyze massive volumes of job search logs to improve search quality, troubleshoot issues, and understand user behavior. The company was already using Apache Pulsar and turned to StreamNative’s Pulsar SQL to make search-log queries easier, faster, and more useful for reporting and analysis.

With StreamNative’s Pulsar SQL, Zhaopin could query streaming data directly in SQL, filter by parameters like trace ID, keywords, city, and time, and generate reports without moving data to another database. The solution also supported partition-based and time-range filtering to improve performance, helping Zhaopin handle large-scale search data more efficiently, simplify analysis, and support future use cases such as hot-job and hot-search-term insights.

Zhaopin