You can work accordingly to make the installation successful after upgrading with different Pandas version. This certainly says that your file needs to be built using a different upgraded Pandas version. Only the supported accounts will allow you to enable the calendar. Under Enable calendar for, tick the needed accounts. Select Accounts and make sure the account you need is added to Spark. I found the error under stdout which could help me to resolve the issue: Click Spark at the top left of your screen. Then switch to stdout/stderr of driver (Executor ID) to find the error. Next click on the application 1 or 2 and go to Executors tab : Let's proceed further with below steps in order to collect driver stdout/stderr log :Ĭlick on the application that failed -> Click on Spark History server -> So we will traverse to Monitoring tab as below and check the application that failed as part of package installation. Its also worth double-checking the input device selected. If you are speaking softly, make sure to increase the input volume so your Mac can better capture your voice. Under input make sure the volume is set to an appropriate level. By default, in Spark pool, package is installed by the application called SystemReservedJob-LibraryManagement. MAC If you use a Mac, choose the Apple menu > System Preferences > Sound. In order to find driver and executor errors, you need to jump to Monitor tab. If you go through "view details", you might not be able to decode the exact error which can lead to further resolution step.
I uploaded the whl file and started execution as shown in below snapshot:Īnd unexpectedly, it failed.
#SPARK FOR MAC TROUBLESHOOT HOW TO#
I am going to discuss basic steps how should you troubleshoot the package installation failures in Apache Spark pool.īefore we discuss about them, please take a look at the page here which provides steps how to update packages/libraries (Jar/whl/etc) in Spark pool.įor this article I am taking an example to install wheel file under Spark packages. We might encounter failures while installing packages in serverless Apache Spark pool.