This work proposes a workflow for processing log files, which helps identify errors and presents a clear difference between correct and incorrect execution.

The proposed overview includes:

• generation of the log files (using the Python reproduction scripts)
• parsing the log files (using templater.py)
• extracting the differences between the parsed log files (using difference.py)

• For CASSANDRA-14989 and CASSANDRA-11803: Docker
• For the rest of the reproduction scripts: Cassandra Cluster Manager (CCM) (and its dependencies)
• DataStax Python Driver: pip install cassandra-driver
• It is advised to execute the scripts on a Linux system, since CCM has some known bugs on Windows

The scripts are to be executed separately by simply running the specific file. The program should terminate with exit code 0 and the log files are generated in /home/<USER>/.ccm/<CLUSTER_NAME>/<NODE_NAME>/logs/, where NODE_NAME is by default node1, node2, etc. For this work, the important file is debug.log.

The debug.log can then be copied to a desktop folder named 13346_failure or 13346_normal (or the numbers of the other bugs). The copy of debug.log is then ingested into templater.py.

The parsed log file then goes through difference.py, which generates an output file consisting of the different log entries.