@Bern As this is an older post, you would have a better chance of receiving a resolution by starting a new thread. This will also be an opportunity to provide details specific to your environment that could aid others in assisting you with a more accurate answer to your question. You can link this thread as a reference in your new post. Thanks. ... View more

@carlosst Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future. Thanks. ... View more

@StefanSs As this is an older post, you would have a better chance of receiving a resolution by starting a new thread. This will also be an opportunity to provide details specific to your environment that could aid others in assisting you with a more accurate answer to your question. You can link this thread as a reference in your new post. Thanks. ... View more

@nbo Welcome to the Cloudera Community! To help you get the best possible solution, I have tagged our NiFi experts @MattWho @SAMSAL  who may be able to assist you further. Please keep us updated on your post, and we hope you find a satisfactory solution to your query. ... View more

For jslt , like I said sometimes its easier to write and work with specially if you are trying to get\aggregate data from heavily nested structure. The other advantage jslt has its ability to traverse nested levels dynamically using recursive function calls for example lets say you are working with json structure but have no idea how many nested level it might have (see my json\jslt answer in the this post to get an idea what I mean by that ). On the other hand jolt appears to  perform a little bit better in comparison but they are very close. In regards to your question you use the follow to extract single value for the path name: "@(2,values[0])": "paths.[&5].pathName" ... View more

Based on event log files, you need to adjust Spark History Server settings. Could you please check SHS cleanup is enabled or not. If you enable spark automatically it clean the old event log files. To load larger event log files, you need to adjust the DAEMON_MEMORY_SIZE. You can refer the following article to adjust the SHS parameters: https://spark.apache.org/docs/latest/monitoring.html#spark-history-server-configuration-options ... View more