The Multithread Log Analyzer is a Spring Boot-based application designed to analyze multi-threaded logs efficiently. It allows users to upload log files, process them to extract key insights, and generate downloadable CSV reports. The application leverages Apache Spark for distributed log processing, ensuring optimal performance for large-scale log analysis.
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File Upload & Processing: Users can upload log files for analysis.
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CSV File Generation & Download: The processed log data is exported as a CSV file for further examination.
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Thread Execution Time Calculation: Utilizes Spark's to aggregate execution times per thread.
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Most Frequent Log Message: Utilizes Spark's to determine the most common log entry.
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Max Thread Stop Time: Identifies performance bottlenecks by calculating the maximum time a thread remains at a single log line.
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Spring Boot – Backend framework for building REST APIs
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Apache Spark – Distributed data processing engine for log analysis
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REST APIs – Facilitates seamless data interaction and integration
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Upload Log File:
POST api/logs/upload -
Process Log File:
GET api/logs/process -
Download Processed CSV:
GET api/logs/download-csv