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Stavros Kontopoulos edited comment on SPARK-27742 at 5/30/19 2:23 PM: ---------------------------------------------------------------------- {quote}From client side the max lifetime can be only decreased for security reasons + see my previous point. {quote} In general since Kafka allows me to set this value, I should be able to do so. "Max lifetime for the token in milliseconds. If the value is -1, then MaxLifeTime will default to a server side config value (delegation.token.max.lifetime.ms)." {quote}There is no possibility to obtain token for anybody else (pls see the comment in the code). {quote} When proxy user will be supported I guess there will be. was (Author: skonto): {quote}From client side the max lifetime can be only decreased for security reasons + see my previous point. {quote} In general since Kafka allows me to set this value, I should be able to do so. {quote}There is no possibility to obtain token for anybody else (pls see the comment in the code). {quote} When proxy user will be supported I guess there will be. > Security Support in Sources and Sinks for SS and Batch > ------------------------------------------------------ > > Key: SPARK-27742 > URL: https://issues.apache.org/jira/browse/SPARK-27742 > Project: Spark > Issue Type: Brainstorming > Components: SQL, Structured Streaming > Affects Versions: 3.0.0 > Reporter: Stavros Kontopoulos > Priority: Major > > As discussed with [~erikerlandson] on the [Big Data on K8s > UG|https://docs.google.com/document/d/1pnF38NF6N5eM8DlK088XUW85Vms4V2uTsGZvSp8MNIA] > it would be good to capture current status and identify work that needs to > be done for securing Spark when accessing sources and sinks. For example what > is the status of SSL, Kerberos support in different scenarios. The big > concern nowadays is how to secure data pipelines end-to-end. > Note: Not sure if this overlaps with some other ticket. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org