1. When do we run parallel import jobs?
When customers want to reconcile multiple applications at the same time
2. Which connectors support parallel import jobs?
All out of the box connectors
3. Which connectors support multi-threaded import jobs?
Box, Office365, GoogleApps
4. What is the need to run multi-threaded import jobs?
When Saviynt was required to perform file imports for scanning from cloud providers(Box, Office365, GoogleApps) and number of files ~ 1 million, it took days to import these files. This caused delay in overall import and scan completion time
By introducing the multi-threaded import capability, we are able to successfully import multiple files simultaneously from target applications like Box, O365 and GoogleApps within few hours
5. Are there any pre-configurations necessary to set up parallel import jobs?
sap.usefilebasedapproach=true // This setting is only needed for SAP parallel import jobs
Work with your respective technical partners/ team to get this configured
6. How can the parallel import jobs be executed?
Application Data Import (Parallel import) jobs need to be scheduled to be executed successfully like below
7. How can the multithreaded import jobs be executed?
Application Data Import (Multi-Threaded import job can be scheduled to be executed successfully like below. Important note is to add the maximum number of threads that can run at a time per server at any given point in time
To avert risk of running more number of threads than allowed, we should configure max threads/server threshold in quartz.properties org.quartz.threadPool.threadCount parameter
Solved! Go to Solution.
HI @Aarthi / Ajay - I have few questions around this :
We are unable to locate "Application Data Import (Parallel import) job". We are currently on v5.5SP3.7.16. Is there any specific configuration that needs to be enabled?
Naveen, you should check
Thanks for the confirmation, Kirti. May I please ask you if this job can be used to run imports parallelly? For example, running AD and Salesforce import parallelly at the same time.
Thank you very much for your help in advance!