Member since
12-14-2015
70
Posts
94
Kudos Received
16
Solutions
My Accepted Solutions
Title | Views | Posted |
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5839 | 03-14-2017 03:56 PM | |
1242 | 03-07-2017 07:20 PM | |
4056 | 01-23-2017 05:57 AM | |
5223 | 01-23-2017 05:40 AM | |
1638 | 10-18-2016 03:36 PM |
08-01-2016
12:40 PM
check your clusterhost.txt - did you provide correct IP addresses?? - 10.00.01 is not a valid ip address. You may have missed a '.' between 2 0's (10.0.0.1) instead?? Were you able to ssh to the hosts individually??
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08-01-2016
12:35 PM
1 Kudo
How big is your access database? and why are you trying to migrate? It sounds like you will be better served my moving to MySql - here are the steps to migrate from access to mysql - https://dev.mysql.com/doc/connector-odbc/en/connector-odbc-examples-tools-with-access-export.html If you want to explore Bigadata, then you can perhaps move to Hive using Sqoop.. but can't really recommend with certainty without knowing the size or use cases.
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07-31-2016
05:09 PM
Have you explored json serde - https://github.com/rcongiu/Hive-JSON-Serde ?? I would write a utility script that will convert your dataset to json (inclusive of serNo, Country, cities, date) and then load them into hive using json serde For more details on Hive Serde, refer to https://cwiki.apache.org/confluence/display/Hive/DeveloperGuide#DeveloperGuide-HiveSerDe
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06-03-2016
08:51 PM
1 Kudo
Thanks to @nate cole and @David Schorow curl call that returns a response: http://localhost:8080/api/v1/clusters/c1/services/ZOOKEEPER/components/ZOOKEEPER_CLIENT?format=client_config_tar
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06-03-2016
08:49 PM
2 Kudos
Ambari UI has an option to download client configuration, however the need is to use it part of a custom script.
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Apache Ambari
05-06-2016
02:49 PM
1 Kudo
Because this is the question that I get asked most often times from enterprise customers in the field, here is the answer: Ranger currently supports resource based and tag based policies for Hive (HDFS files, HBase, etc...), where you can specify a column to be un-authorized for a specific user or user group. This will fail the query by that user/group altogether. However, there is a work in progress to make queries involving the un-authorized columns to simply mask (redact) the data instead of failing altogether. Here is the jira number https://hortonworks.jira.com/browse/RMP-3705
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05-06-2016
02:45 PM
1 Kudo
This is a most common question that I get asked from the customers - who says that failing a hive query altogether makes no sense for them in the enterprise environment, but rather want to have it redacted.
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Apache Ranger
05-05-2016
09:48 PM
@John Yawney - HDP 2.4.2 is being targeted for May 2016 (in next few days), which I think will have Atlas 0.6 in it. Hopefully that helps.
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05-05-2016
06:58 PM
Looks like you are running the code as 'bigotes' user. Can you check if that is correct and you have sufficient write privileges in the user directory?
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05-05-2016
06:53 PM
2 Kudos
Only Atlas 0.5 is packaged into HDP 2.4. If you want to manually upgrade, you have to first remove the component from Ambari, and then manage atlas by yourself.
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