Hi @felix_ ,   First, you may want to check out the troubleshooting tips for DAS. In particular, there is a reference to adding a user that wants to see all queries to the admin list under DAS configuration in Cloudera Manager.    Second, do you have Hive impersonation enabled or disabled on this cluster? If you are using Ranger for authorization, then impersonation should be turned off.    Finally, I would advice your users to begin switching to Hue as the query and analysis UI. That is where all future engineering effort from Cloudera will go.    Hope this points you in the right direction.  - Alex ... View more

Ok, and where are you installing it? On a server or a home computer? What is the size of hardware you have (cpu, memory, disk)? Is it large enough to meet the minimum hardware requirements?  ... View more

There is not enough detail here to be able to provide any kind of answer. Please open a Cloudera Support case and upload the logs to that case in order to get the best solution for the issue.     Regards, Alex ... View more

Looks like there are different types of AWS Load Balancers, and the one that can handle TCP sessions are either Network Load Balancer (NLB) or Classic Load Balancer. Which one are you using? I believe stickiness also works for NLB, but do validate with your AWS team.   The session timeout is two-fold: LB session timeout. These are settings inside of the load balancer, nothing to do with Impala itself. The recommendation is to set this timeout to 12 hours, 6 hours at a minimum for both client and server timeouts. Hue session timeout (idle_session_timeout). This is how long Hue will keep the connection to Impala alive. Default may be 15 minutes. If no queries run in this time amount of time, and then you run a new query, you'll get this error "Results have expired". Hue will need to start a new session. Also if your query takes longer than idle_session_timeout, then you'll definitely need to increase the timeout setting. 1 hour timeout may be appropriate here.   Regards, Alex     ... View more

Hi Andrea,   There is not much different from how you would install R and SparkR on any other host. The steps to install would be the same. How that R runtime integrates with CDP DataHub would need to be configured after the installation.  Instead of SparkR, I would actually recommend you use sparklyr, as it's more compatible with Spark.    Regards, Alex ... View more