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sgudavalliR
Hello, I am trying to populate below hive clustered ORC table. CREATE TABLE llos(id string,x string,y string,z string,rg string,buketkey string, cat int,scat int,usr string,org string,act int,ctm int,c1 string,c2 string,c3 string,d1 int,d2 int,doc binary) partitioned by (cdt int,catpartkey string,usrpartkey string) CLUSTERED BY (buketkey)
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john.humphreys
When I run a spark job on YARN in cluster mode, the driver and workers are all in YARN.   There is still a process on the VM that ran Spark submit which is using resources though.  Can this be avoided?   When small clients launch many jobs, these processes can get pretty burdensome resource wise.
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sgudavalliR
Hello,   I have trouble tracking disk space usage.         my real usage is much less than 40 GB. But I see total 140 GB Is being used.    Is this 40 GB for all the replica copies? And if it is so, where is the rest of space allocated.       please help me diagnose. thank you
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sathish
Can anyone give details on how to configure SSL for JDBC, When trying to connect to hive server using the following url, `jdbc:hive2://<host>:10000/default;ssl=true;sslTrustStore=c:/keystore.truststore;sslTrustStorePassword=<password>` My hiveserver2 is configured with SSL and I am always seeing the following error on the server side
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hdevanath
Log4j is a tool in the JavaSW library that specializes in logging. It is a tool to help the programmer output log statements to a variety of output targets. It is helpful to enable logging so that the problem can be identified. With log4j it is possible to enable logging at runtime without modifying the application binary.   The log4j
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aalvarez
  MapR-XD Cloud-Scale Data Store is the high-scale, reliable, globally distributed data store creating an organization’s data fabric for managing files, objects and containers. MapR-XD supports the most stringent speed, scale, and reliability requirements within and across multiple edge, on-premises, and cloud environments. MapR-XD
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