How does someone fix a HDFS that's corrupt? I looked on the Apache/Hadoop website and it said its fsck command, which doesn't fix it. Hopefully someone who has run into this problem before can tell me how to fix this.
Unlike a traditional fsck utility for native file systems, this command does not correct the errors it detects. Normally NameNode automatically corrects most of the recoverable failures.
When I ran bin/hadoop fsck / -delete, it listed the files that were corrupt or missing blocks. How do I make it not corrupt? This is on a practice machine so I COULD blow everything away but when we go live, I won't be able to "fix" it by blowing everything away so I'm trying to figure it out now.
Answer
You can use
hdfs fsck /
to determine which files are having problems. Look through the output for missing or corrupt blocks (ignore under-replicated blocks for now). This command is really verbose especially on a large HDFS filesystem so I normally get down to the meaningful output with
hdfs fsck / | egrep -v '^\.+$' | grep -v eplica
which ignores lines with nothing but dots and lines talking about replication.
Once you find a file that is corrupt
hdfs fsck /path/to/corrupt/file -locations -blocks -files
Use that output to determine where blocks might live. If the file is larger than your block size it might have multiple blocks.
You can use the reported block numbers to go around to the datanodes and the namenode logs searching for the machine or machines on which the blocks lived. Try looking for filesystem errors on those machines. Missing mount points, datanode not running, file system reformatted/reprovisioned. If you can find a problem in that way and bring the block back online that file will be healthy again.
Lather rinse and repeat until all files are healthy or you exhaust all alternatives looking for the blocks.
Once you determine what happened and you cannot recover any more blocks, just use the
hdfs fs -rm /path/to/file/with/permanently/missing/blocks
command to get your HDFS filesystem back to healthy so you can start tracking new errors as they occur.