Member since
09-13-2018
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Title | Views | Posted |
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2782 | 10-25-2018 04:03 PM |
05-13-2019
09:14 AM
We have solved this by use of merge backup. Now we have two backup files, one is full backup and other one is merged incremented backup files.
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11-12-2018
07:45 AM
Hi, Today again after 18 days, my backup job has failed. I have tried some different techniques to fix it, but all in vain. Only solution I got till now is, take a fresh full backup. I did make some observations this time on memory usage. I am attaching my hbase backup log hbase-backup-logtxt.zip and linux top command screenshot screen-shot-2018-11-12-at-122551-pm.png. If some can kindly look onto it and provide some feedback. It will be very helpful for the purpose.
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10-25-2018
04:03 PM
@Josh Elser, If I understand correctly, increasing Java Heap size can resolve issue but will this a proper fix? Instead of 20 days, it may can failed after 40 days. We have though to make full backup after every 15 days; is this the right solution?
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10-25-2018
06:54 AM
Hi, We have setup HBase database on aws ec2 instances using Ambari. We have 2 ec2 t2.larges instance, one contain zookeeper master and contains Name and Data Node. Now there is a daily crone job, runs on salve node that takes incremental backup and save it to hdfs. It works perfectly but after some days, almost after 15-20 days, the backup map reduce job started fail with Out Of Heap Memory Error. If we check our instance memory state we almost have 4.5GB in cache and 2.7GM in available. If it fails once, it will continue to fail with Out of Memory Error for forever. Resolution that we have followed in last two occasion was: delete all hdfs backup. drop hbase backup tables. take full backup once And it comes back to normal. We have not able to figure out exact issue, and it is almost time to go into production. We cannot go into with proper backup setup. Need community help to find best way to backup our database. Kindly suggest where we can be wrong with our implementation. PS: Previously we had tried to take backup and directly save it to S3 with no success. Here is the issue we were facing with old method.
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