Description: Job Logs in data processing frameworks are documents generated during the execution of data processing jobs. These logs contain detailed information about the job’s status and performance, as well as errors and warnings that may arise during execution. Logs are essential for debugging and monitoring, as they allow developers and system administrators to understand how a job is running, identify bottlenecks, and optimize performance. Additionally, logs may include metrics on resource usage, such as memory and processing time, helping users adjust their jobs for improved efficiency. In real-time data processing environments, logs are crucial for ensuring that data flows are handled effectively and that any issues are addressed promptly. In summary, Job Logs are a vital tool for managing and optimizing jobs in data processing frameworks, providing visibility and control over data processing.
