Hello community, We've a challenge and no ideas how to solve it.
The problem, Say we have the following environment: 1. `cluster A`, the cluster does not use kerberos and we use it as a source of data, important thing is - we don't manage this cluster. 2. `cluster B`, small cluster where our spark application is running and performing some logic. (we manage this cluster and it does not have kerberos). 3. `cluster C`, the cluster uses kerberos and we use it to keep results of our spark application, we manage this cluster Our requrements and conditions that are not mentioned yet: 1. All clusters are in a single data center, but in the different subnetworks. 2. We cannot turn on kerberos on `cluster A` 3. We cannot turn off kerberos on `cluster C` 4. We can turn on/off kerberos on `cluster B`, currently it's turned off. 5. Spark app is built on top of RDD and does not depend on spark-sql. Does anybody know how to write data using RDD api to remote cluster which is running with Kerberos? -- //with Best Regards --Denis Bolshakov e-mail: bolshakov.de...@gmail.com -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/spark-with-kerberos-tp27894.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
