Member since
09-18-2015
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Solutions
03-16-2017
06:28 PM
Neeraj - I followed the original article and having some issue. I noticed that once I add the group "Public" in ranger policies without adding ip address in policy condition user are able to publish and consumer from any host. This is what i did. HDP Version: HDP-2.3.4.0-3485 -- Enables Kafka plugin in Ranger. -- Restarted Ranger -- Create following policies in Ranger ( see the image ) ( Important : Added group
Public left policy condition blank ) -- Logged in to
server 21 to Produce and consume message's -- I was able to produce and consume messages from any
server . What we want is to secure our Kafka environment through
ranger by ip address. I understand that the identity of client user over a
non-secure channel is not possible. I followed the following article to secure or Kafka environment. https://cwiki.apache.org/confluence/display/RANGER/Kafka+Plugin#KafkaPlugin-WhydowehavetospecifypublicusergrouponallpoliciesitemscreatedforauthorizingKafkaaccessovernon-securechannel Please let me know what I am missing.
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08-20-2018
09:20 PM
Hi Neeraj, Allowing read and wright to all users to Poenix SYSTEM tables is not really secure. Is there any solution to avoid it? Thanks Helmi
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08-23-2016
06:23 PM
Yes I have heard and worked on POC. When does Hadoop (HDP) release with IGFS ?
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04-16-2016
09:13 PM
@Davide Vergari just released a custom Ambari service to install Apache Drill thru Ambari on HDP 2.4. Feel free to take a look at it.
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11-30-2018
12:21 AM
Hi Neeraj, I am able to install presto but my queries are failing. Did you face similar error before? presto:default> show tables;
Query 20181130_001533_00002_5gf9c failed: 10.xxx.xx.xx: null
presto:default> exit
Caused by: org.apache.thrift.transport.TTransportException: 10.xxx.xx.xx:: null
at com.facebook.presto.hive.HiveMetastoreClientFactory.rewriteException(HiveMetastoreClientFactory.java:58)
at com.facebook.presto.hive.HiveMetastoreClientFactory.access$000(HiveMetastoreClientFactory.java:33)
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03-15-2017
04:51 PM
At this time, column level security it only possible when accessing data through Hive
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