Managing Hadoop logs on Debian, you can follow these steps and best practices:
Log Aggregation
- Enable log aggregation : Set yarn.log-aggregation-enable to true in the yarn-site.xml file to enable log aggregation function.
- Configure log retention policy : Set yarn.log-aggregation.retain-seconds to define the retention time of the log, such as 172800 seconds (2 days).
- Specify log storage path : Specify the storage path and suffix of the application log on HDFS through yarn.nodemanager.remote-app-log-dir and yarn.nodemanager.remote-app-log-dir-suffix.
Log viewing and analysis
- Use the journalctl command : view the detailed information of the system log. journalctl provides richer log viewing functions than traditional syslog.
- Log analysis tool : Use ELK (Elasticsearch, Logstash, Kibana) stack or Apache Solr to analyze and visualize log data in real time.
Log storage and compression
- Storage media : Use HDFS to store large amounts of raw log data, suitable for large-scale log storage.
- Log compression : Use compression algorithms such as gzip or snappy to reduce storage space and transmission time.
Log Lifecycle Management
- Define lifecycle policies : Automate the retention, archiving, and deletion times of logs to optimize storage and meet compliance requirements.
Monitoring and Alarm
- Real-time monitoring : Use tools such as Ambari or Ganglia to monitor cluster status in real time.
- Set alarm : configure the alarm mechanism to alert abnormal events in real time.
Through the above methods, effective log management can be implemented in the Debian Hadoop environment, helping the operation and maintenance team to better understand the cluster state and discover and solve problems in a timely manner.
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