cdh5

Impala online documentation describes Impala ODBC interface installation and configurationhttp://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/Impala/ Installing-and-using-impala/ciiu_impala_odbc.htmlImpala ODBC Driver:http://www.cloudera.com/content/support/en/downloads/connectors.htmlThis article explains in detail the installation and use of Impala ODBC in the CENTOS-6.5-X86_64 environment.First, check whether the UNIXODBC is

Recently, a Hadoop cluster was installed, so the HA,CDH4 that configured HDFS supported the quorum-based storage and shared storage using NFS two HA scenarios, while CDH5 only supported the first scenario, the Qjm ha scenario. About the installation deployment process for Hadoop clusters You can refer to the process of installing CDH Hadoop clusters using Yum or manually installing Hadoop clusters. Cluster Planning I have installed a total of three no

Impala online documentation describes Impala ODBC interface installation and configuration http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/Impala/ Installing-and-using-impala/ciiu_impala_odbc.html Impala ODBC Driver: http://www.cloudera.com/content/support/en/downloads/connectors.html This paper explains the installation and use of Impala ODBC in centos-6.5-x86_64 environment. First, check whether the UNIXODBC is installed

Tags: man manual enter row tar.gz err 1.4 for maximumHue: Https://github.com/cloudera/hue Hue Study document address : http://archive.cloudera.com/cdh5/cdh/5/hue-3.7.0-cdh5.3.6/manual.html I'm currently using hue-3.7.0-cdh5.3.6. Hue (Hue=hadoop User Experience) Hue is an open-source Apache Hadoop UI system that evolved from Cloudera desktop and finally cloudera the company's contribution to the Apache Foundation's Hadoop community, which is based on t

Tags: Cdh5 contain sharing app technology share tip common classes Bin1:hbase start hbase Shell Run command class path contains multiple slf4j Bindings. Error, because the jar package conflicts, so for the jar package with Hadoop, you can delete the other jar package, if you are not sure whether the deletion is correct, you can copy the other jar package backup or modify the name, to ensure that the operation failed later, you can also retrieve.slf4j: