Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS is the primary storage system used by Hadoop applications and provides high throughput access to application data.
When the Namenode edit log grows too large, you may notice a significant degradation in the performance of the Namenode. This can manifest as increased latency in file operations or even timeouts when trying to access HDFS resources.
The issue, identified as HDFS-045: Namenode Edit Log Overflow, occurs when the edit log on the Namenode becomes excessively large. The edit log records every change made to the file system metadata, and if not managed properly, it can grow to a size that impacts the Namenode's performance.
For more technical details on how the edit log works, you can refer to the HDFS Design Documentation.
To resolve the issue, you need to perform a checkpoint, which involves merging the edit log with the fsimage. This process reduces the size of the edit log and improves Namenode performance. Here are the steps:
hdfs secondarynamenode -checkpoint
For more information on managing checkpoints, visit the HDFS User Guide.
If the edit log frequently grows too large, consider increasing its size limit. This can be done by modifying the dfs.namenode.edits.dir property in the hdfs-site.xml configuration file. Here is an example:
<property>
<name>dfs.namenode.edits.dir</name>
<value>/path/to/edits/dir</value>
</property>
After making changes, restart the Namenode for the new configuration to take effect.
By performing regular checkpoints and adjusting the edit log size limit, you can prevent the Namenode edit log from overflowing and maintain optimal performance of your Hadoop HDFS cluster. For further reading, consider exploring the HDFS User Guide.
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