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02-24-2016
10:46 PM
https://streever.atlassian.net/wiki/display/HADOOP/Phoenix+JDBC+Client+Setup Follow this
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02-23-2016
09:57 PM
3 Kudos
You can check the official compatibility documentation here: https://hbase.apache.org/book.html#hbase.versioning. What you are looking for is "wire compatibility" between the client and server. In short, 1.x releases among different versions are client / sever wire compatible. 0.98 to 1.x might have some rough edges but it is still supported. HDP-2.2 is 0.98 based, and HDP-2.3 and 2.4 is HBase-1.1.1 based, thus inherits the upstream compatibility gurantees.
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03-02-2016
04:02 AM
@Neeraj Sabharwal I am unclear about the direction. I need to create a user in ranger which only does admin for hbase (for example). right now it seems admin delegation is per policy. Lets say As a hadoop admin i want to provide my dba team access only to hbase admin rights. I don't believe this is possible. If so could you provide steps. Seems others in this post are as confused as I am.
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07-20-2016
09:34 PM
@Artem Ervits @Mehrdad Niasari I believe we can lose this question. i have opened new one on default namespace here.
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02-18-2016
05:55 PM
1 Kudo
I found it the problem, it was the password. I issues the statement you gave and it still failed. Then I went into ambari and changed the password to password and it worked. thank you
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02-18-2016
04:10 PM
Security Features. A number of existing HBase security features in 0.94 could be leverage and new security features being added to 0.98 could be leveraged in the future.
Support GRANT and REVOKE. Support the standard GRANT and REVOKE SQL commands through an HBase AccessController. Surface support for encryption. Surface specification of what should be encrypted now that HBase supports transparent encryption. Support Cell-level security. Surface cell-level security now that HBase supports it.
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02-18-2016
05:17 PM
@Sunile Manjee https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/WebHDFS.html You can use webhdfs to transfer data into HDFS. http://hortonworks.com/blog/webhdfs-%E2%80%93-http-rest-access-to-hdfs/
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02-24-2016
01:52 AM
@Sunile Manjee See this Demo my_ns1:my_table - demouser can access it hbase(main):005:0> scan "my_ns1:my_table" ROW COLUMN+CELL 0 row(s) in 0.0340 seconds hbase(main):006:0> I removed demouser in policy hbase(main):006:0> scan "my_ns1:my_table" ROW COLUMN+CELL ERROR: org.apache.hadoop.hbase.security.AccessDeniedException: Insufficient permissions for user ‘demouser',action: scannerOpen, tableName:my_ns1:my_table, family:fam. Here is some help for this command:
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02-19-2016
12:32 PM
1 Kudo
@Sunile Manjee It depends. You can run any R function, but only a subset is supported directly on the dataframe. R functions are normally not parallelized so to have true parallel aggregations he needs to translate them into Spark code. - You can always filter first in Spark and then copy your sparkr dataframe into a local normal R data frame using as.data.frame. - Other similar tools support the execution of R code on rows/groups of data inside the cluster ( groupApply, TableApply, RowApply in other mapreduce frameworks ) however I do not see a way to do that in Spark they do not seem to have an R library distributed to every node but I might be wrong others can correct me. - You always have the option to directly execute R from Scala and then do the grouping yourself but that will be a lot of effort https://cran.r-project.org/web/packages/rscala/
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