AI Agent Uses SQL to Analyze Billions of CI Log Lines for Debugging
By
shad42
Toasted golden, schmeared with insight. Top of the rack.
Summary
The article describes how an AI agent was given SQL access to massive CI (Continuous Integration) log data, enabling it to autonomously investigate and trace flaky tests by querying terabytes of historical log data. The system processes 1.5 billion CI log lines and 700K jobs weekly, stored in ClickHouse with 35:1 compression, allowing millisecond query times. The AI agent can write its own SQL queries to scan hundreds of millions of log lines across multiple queries, following trails from job metadata to raw log output to identify root causes of issues in seconds.
Key quotes
· 4 pulledLast week, our agent traced a flaky test to a dependency bump three weeks prior. It did this by writing its own SQL queries, scanning hundreds of millions of log lines across a dozen queries, and following a trail from job metadata to raw log output.
Every week, about 1.5 billion CI log lines and 700K jobs flow through our system. All of it lands in ClickHouse, compressed at 35:1. All of it is queryable in milliseconds.
The whole investigation took seconds.
To do this, the agent needs context: not one log file, but every build, every test, every log line, across months of history.
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