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10-29-2015
10:00 AM
8 Kudos
Post based on KB article: As soons as you realize that you have accidentally deleted the the files/directories in HDFS, immediately force the name node to go in SafeMode (hadoop namenode -safemode enter) to avoid further damage to file system. If possible, shutdown the NN and DataNodes Check out the core-site.xml, to verify if Trash is enabled (look for configuration parameter ‘fs.trash.interval’. The value greater than zero value indicates number or minutes that data will be kept in Trash) If the number is more than the duration between delete command execution and namenode shutdown/safe mode, then you can recover the files from user’s Trash folder. If Trash is not enabled, contact Hortonworks support immediately. DO NOT restart the namenode and/or bring it out of safe mode. Doing so may delete your data permanently.
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10-29-2015
09:55 AM
Thanks Ali. I also like what Balaji said regarding using the official docs.
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10-29-2015
03:05 AM
@rgarcia@hortonworks.com Could you check this? Looks like LDAP manager credentials (that are used for connecting to LDAP server) are invalid.
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10-28-2015
10:36 PM
1 Kudo
@ravi@hortonworks.com Ravi, This is interesting find
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10-28-2015
05:06 PM
2 Kudos
@ccasano@hortonworks.com Please see this thread Also, this With Knox, we support SSO, so for all the REST APIs that you expose to your Hadoop end users, you can support the SSO through Knox. For example, when you deploy Knox, it supports CA SiteMinder, Oracle Access Management Suite or Tivoli Access Manager. You can deploy Knox with an Apache HTTP Server and leverage its integration, or you can directly integrate with Knox.
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10-28-2015
03:01 PM
1 Kudo
@nasghar@hortonworks.com Please see this Is it possible to use MQ-Series instead of Kafka as Messaging Queue? Apache Storm supports JMS Spouts. It is currently certified with Active MQ and Oracle JMS. We ran into issues with IBM MQ-Series with respect to how messages are acknowledged by IBM MQ. IBM-MQ requires the thread that receives the message be the same thread that acks it. Storm’s framework cannot support this requirement, as the receiving and acking thread by design are different threads to achieve higher throughput.
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10-28-2015
12:10 PM
Please see this It's fixed in Ambari 2.1.1
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10-28-2015
11:49 AM
If I am in your shoes then I will be focusing on this thread
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10-28-2015
11:28 AM
Thanks for sharing 🙂 @Jonas Straub
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