NOTE: By default, Cloudera may be installed with Java JDK 1.7 or earlier. If so, you must upgrade each node in the cluster to Java JDK 1.8. For more information, see https://www.cloudera.com/documentation/enterprise/latest/topics/cdh_ig_jdk_installation.html.
For this release, the supports the following Cloudera versions.
NOTE: Cloudera 6.0 and later requires use of native Hadoop libraries from the cluster. See Configure for Spark.
Cloudera 6.2.x (recommended)
NOTE: Spark 2.4 is not supported on Cloudera 6.0. Please use Spark 2.2. See Configure for Spark.
NOTE: Cloudera 5.14.x and 5.15.x are no longer supported. For best results, please upgrade your Hadoop distribution.
NOTE: Unless otherwise noted, all items listed below are supported across all Hadoop distribution versions listed above. Unlisted items are not supported. Please contact or your sales representative for items not listed here.
NOTE: The software must be installed on a gateway node of the Cloudera cluster. For more information, see System Requirements.
|Physical On Premise Machines||Supported.|
|VMWare / VXServer||Supported.|
NOTE: Deployment to an Amazon EC2 is supported. See Supported Deployment Scenarios for AWS.
|HDFS File Permissions||Supported.|
|HDFS Privileges||Supported through Sentry.|
|Hive Privileges||Supported through Sentry.|
|Kerberos-Enabled Hadoop Cluster||Supported. See Configure for Kerberos Integration.|
|Secure User Impersonation|
Supported. See Configure for Secure Impersonation.
|Name Node, Resource Manager, HttpFS||Supported. See Enable Integration with Cluster High Availability.|
|Hive Publishing||Supported. See Configure for Hive.|
See Supported File Formats.
The supports connectivity for execution to the following Hadoop environments for this vendor's distributions. Connectivity exceptions are listed below:
|Running Environment||HDFS Reader||HDFS Writer||Hive Reader w/ HiveServer2|
|Profiling Environment||HDFS Reader||HDFS Writer|
|Profiling on Spark||Supported.||Supported.|
|Storage Platform||HDFS Reader||HDFS Writer|
|Storage Platform||Amazon S3 Reader||Amazon S3 Writer|