Build: https://vscjavaci.cloudapp.net/job/Azure_Toolkits_for_Java/job/AzureToolsManager_develop/1313/Azure/processDownloadRequest/artifacts/azure-toolkit-for-intellij-2019.2.develop.1313.12-02-2019.zip
IntelliJ Version: 2019.2
OS: Windows/Mac/Linux
Repro Steps:
- Open IntelliJ IDEA
- Install the build
- Use this account (omid@hdicore.com) to sign in to Azure
- Right click on HDInsight node, and select Link A Cluster
- For Clucter Name/URL, enter jeasadhib
- For Authentication Type, select Azure Account
- Click OK button in Link A Cluster dialog
- Click on Edit Configurations
- Select Apache Spark on HDInsight template
- Fill in Main class name
- Switch to Remotely Run in Cluster
- For Spark cluster, select linked cluster: jeasadhib
- For Storage Type, select Use ADLS Gen2 with azure account to upload
- Fill in ADLS GEN2 Root path: https://hdicorehns.dfs.core.windows.net/jeasadhib-2019-11-19t01-20-36-377z
- Click on Apply button, then Click on OK button to close the Config dialog
- Sign out to Azure
- Click on SparkJobRun button
- Check the result
Results: After signed out, the job is still submitted successfully. However, after reopening the configuration and saving and closing without doing anything, the job cannot be successfully submitted.

Build: https://vscjavaci.cloudapp.net/job/Azure_Toolkits_for_Java/job/AzureToolsManager_develop/1313/Azure/processDownloadRequest/artifacts/azure-toolkit-for-intellij-2019.2.develop.1313.12-02-2019.zip
IntelliJ Version: 2019.2
OS: Windows/Mac/Linux
Repro Steps:
Results: After signed out, the job is still submitted successfully. However, after reopening the configuration and saving and closing without doing anything, the job cannot be successfully submitted.
