- Overview
- Requirements
- Recommended: Deployment templates
- Manual: Preparing the installation
- Manual: Preparing the installation
- Step 1: Configuring the OCI-compliant registry for offline installations
- Step 2: Configuring the external objectstore
- Step 3: Configuring High Availability Add-on
- Step 4: Configuring Microsoft SQL Server
- Step 5: Configuring the load balancer
- Step 6: Configuring the DNS
- Step 7: Configuring the disks
- Step 8: Configuring kernel and OS level settings
- Step 9: Configuring the node ports
- Step 10: Applying miscellaneous settings
- Step 12: Validating and installing the required RPM packages
- Step 13: Generating cluster_config.json
- Cluster_config.json Sample
- General configuration
- Profile configuration
- Certificate configuration
- Database configuration
- External Objectstore configuration
- Pre-signed URL configuration
- ArgoCD configuration
- External OCI-compliant registry configuration
- Disaster recovery: Active/Passive and Active/Active configurations
- High Availability Add-on configuration
- Orchestrator-specific configuration
- Insights-specific configuration
- Process Mining-specific configuration
- Document Understanding-specific configuration
- Automation Suite Robots-specific configuration
- AI Center-specific configuration
- Monitoring configuration
- Optional: Configuring the proxy server
- Optional: Enabling resilience to zonal failures in a multi-node HA-ready production cluster
- Optional: Passing custom resolv.conf
- Optional: Increasing fault tolerance
- Adding a dedicated agent node with GPU support
- Adding a dedicated agent Node for Task Mining
- Connecting Task Mining application
- Adding a Dedicated Agent Node for Automation Suite Robots
- Step 15: Configuring the temporary Docker registry for offline installations
- Step 16: Validating the prerequisites for the installation
- Manual: Performing the installation
- Post-installation
- Cluster administration
- Managing products
- Getting Started with the Cluster Administration portal
- Migrating objectstore from persistent volume to raw disks
- Migrating from in-cluster to external High Availability Add-on
- Migrating data between objectstores
- Migrating in-cluster objectstore to external objectstore
- Migrating to an external OCI-compliant registry
- Switching to the secondary cluster manually in an Active/Passive setup
- Disaster Recovery: Performing post-installation operations
- Converting an existing installation to multi-site setup
- Guidelines on upgrading an Active/Passive or Active/Active deployment
- Guidelines on backing up and restoring an Active/Passive or Active/Active deployment
- Monitoring and alerting
- Migration and upgrade
- Migrating between Automation Suite clusters
- Upgrading Automation Suite
- Downloading the installation packages and getting all the files on the first server node
- Retrieving the latest applied configuration from the cluster
- Updating the cluster configuration
- Configuring the OCI-compliant registry for offline installations
- Executing the upgrade
- Performing post-upgrade operations
- Applying a patch
- Product-specific configuration
- Out-of-sync Task Mining
- Cleaning up the Task Mining database
- Best practices and maintenance
- Troubleshooting
- How to troubleshoot services during installation
- How to uninstall the cluster
- How to clean up offline artifacts to improve disk space
- How to clear Redis data
- How to enable Istio logging
- How to manually clean up logs
- How to clean up old logs stored in the sf-logs bucket
- How to disable streaming logs for AI Center
- How to debug failed Automation Suite installations
- How to delete images from the old installer after upgrade
- How to disable TX checksum offloading
- How to manually set the ArgoCD log level to Info
- How to expand AI Center storage
- How to generate the encoded pull_secret_value for external registries
- How to address weak ciphers in TLS 1.2
- How to check the TLS version
- Unable to run an offline installation on RHEL 8.4 OS
- Error in downloading the bundle
- Offline installation fails because of missing binary
- Certificate issue in offline installation
- SQL connection string validation error
- Prerequisite check for selinux iscsid module fails
- Azure disk not marked as SSD
- Failure after certificate update
- Antivirus causes installation issues
- Automation Suite not working after OS upgrade
- Automation Suite requires backlog_wait_time to be set to 0
- Volume unable to mount due to not being ready for workloads
- Support bundle log collection failure
- Single-node upgrade fails at the fabric stage
- Upgrade fails due to unhealthy Ceph
- RKE2 not getting started due to space issue
- Volume unable to mount and remains in attach/detach loop state
- Upgrade fails due to classic objects in the Orchestrator database
- Ceph cluster found in a degraded state after side-by-side upgrade
- Unhealthy Insights component causes the migration to fail
- Service upgrade fails for Apps
- In-place upgrade timeouts
- Docker registry migration stuck in PVC deletion stage
- AI Center provisioning failure after upgrading to 2023.10 or later
- Upgrade fails in offline environments
- SQL validation fails during upgrade
- snapshot-controller-crds pod in CrashLoopBackOff state after upgrade
- Setting a timeout interval for the management portals
- Authentication not working after migration
- Kinit: Cannot find KDC for realm <AD Domain> while getting initial credentials
- Kinit: Keytab contains no suitable keys for *** while getting initial credentials
- GSSAPI operation failed due to invalid status code
- Alarm received for failed Kerberos-tgt-update job
- SSPI provider: Server not found in Kerberos database
- Login failed for AD user due to disabled account
- ArgoCD login failed
- Update the underlying directory connections
- Failure to get the sandbox image
- Pods not showing in ArgoCD UI
- Redis probe failure
- RKE2 server fails to start
- Secret not found in UiPath namespace
- ArgoCD goes into progressing state after first installation
- MongoDB pods in CrashLoopBackOff or pending PVC provisioning after deletion
- Pods stuck in Init:0/X
- Missing Ceph-rook metrics from monitoring dashboards
- Running High Availability with Process Mining
- Process Mining ingestion failed when logged in using Kerberos
- After Disaster Recovery Dapr is not working properly for Process Mining and Task Mining
- Unable to connect to AutomationSuite_ProcessMining_Warehouse database using a pyodbc format connection string
- Airflow installation fails with sqlalchemy.exc.ArgumentError: Could not parse rfc1738 URL from string ''
- How to add an IP table rule to use SQL Server port 1433
- Automation Suite certificate is not trusted from the server where CData Sync is running
- Running the diagnostics tool
- Using the Automation Suite support bundle
- Exploring Logs
Cleaning up the Task Mining database
This page describes the necessary maintenance tasks for the Task Mining databases.
[AutomationSuite_Task_Mining]
, uses a single schema [tddiscovery]
for data storage. Primarily, Task Mining stores data in the object store, reducing the need of frequent database maintenance.
If required, you can use the Remove_Active_History.sql
database maintenance script to periodically clean up the following database table:
-
[AutomationSuite_Task_Mining].[tddiscovery].[ActivityHistory]
[AutomationSuite_Task_Mining]
before executing any scripts.
The following prerequisites are assumed:
-
You have access to the
[AutomationSuite_Task_Mining]
database with the required permissions.
CREATE PROCEDURE [tddiscovery].[Delete_TaskMining_ActivityHistory]
@CutoffTimeStamp datetime2,
@BatchSize INT = 10000
AS
BEGIN
DECLARE @total_deleted_items BIGINT = 0;
SET NOCOUNT ON;
-- delete ActivityHistoryItems
DECLARE @Deleted_Rows_ActivityHistoryItems INT = @BatchSize;
WHILE(@Deleted_Rows_ActivityHistoryItems = @BatchSize)
BEGIN
DELETE TOP(@BatchSize) FROM [tddiscovery].[ActivityHistory] WHERE At <= @CutoffTimeStamp;
SET @Deleted_Rows_ActivityHistoryItems = @@ROWCOUNT;
SET @total_deleted_items = @Deleted_Rows_ActivityHistoryItems + @total_deleted_items;
END;
PRINT('The script executed successfully!');
PRINT('Total deleted rows from [tddiscovery].[ActivityHistory]: ' + CONVERT(NVARCHAR, @total_deleted_items));
END;
GO
CREATE PROCEDURE [tddiscovery].[Delete_TaskMining_ActivityHistory]
@CutoffTimeStamp datetime2,
@BatchSize INT = 10000
AS
BEGIN
DECLARE @total_deleted_items BIGINT = 0;
SET NOCOUNT ON;
-- delete ActivityHistoryItems
DECLARE @Deleted_Rows_ActivityHistoryItems INT = @BatchSize;
WHILE(@Deleted_Rows_ActivityHistoryItems = @BatchSize)
BEGIN
DELETE TOP(@BatchSize) FROM [tddiscovery].[ActivityHistory] WHERE At <= @CutoffTimeStamp;
SET @Deleted_Rows_ActivityHistoryItems = @@ROWCOUNT;
SET @total_deleted_items = @Deleted_Rows_ActivityHistoryItems + @total_deleted_items;
END;
PRINT('The script executed successfully!');
PRINT('Total deleted rows from [tddiscovery].[ActivityHistory]: ' + CONVERT(NVARCHAR, @total_deleted_items));
END;
GO
-
Run the
Remove_Active_History.sql
database maintenance script to create theDelete_TaskMining_ActivityHistory
Stored Procedure.Note:Always use the most recent version of the Stored Procedure.
It is strongly recommended to archive previously executed SQL Stored Procedures by renaming the Stored Procedures. This provides an opportunity to detect and address any potential issues or anomalies within that particular version of the SQL Stored Procedure. The following code provides an example on how to rename a SQL Stored Procedure for archiving purposes.
EXEC sp_rename '[tddiscovery].[Delete_TaskMining_ActivityHistory]', '[Delete_TaskMining_ActivityHistory_2024-10-10_001]';
EXEC sp_rename '[tddiscovery].[Delete_TaskMining_ActivityHistory]', '[Delete_TaskMining_ActivityHistory_2024-10-10_001]'; -
Execute the
Delete_TaskMining_ActivityHistory
Stored Procedure. This deletes all data related to Activity History for a cut-off timestamp from the[AutomationSuite_Task_Mining].[tddiscovery].[ActivityHistory]
table.
PROCEDURE [tddiscovery].[Delete_TaskMining_ActivityHistory]
script, ensure that Task Mining usage is suspended.
Although there is no restriction on deleting data using a SQL Stored Procedure, it would be a good practice to retain the activity history in the system for a minimum period, for example, 30 days, to preserve recent activity records. This also provides an opportunity to detect and address any potential issues or anomalies within the SQL Stored Procedure before it is permanently deleted.
Delete_TaskMining_ActivityHistory
SQL Stored Procedure.
Parameter |
Description |
Mandatory Y/N |
@CutoffTimeStamp |
Delete all data before a specified timestamp (e.g., 2021-01-01 01:00:05). Note:
Do not provide a timestamp that leads to an empty table. |
Y |
@BatchSize INT = 10000 |
The number of rows to be deleted at a time. This enables you to delete the data batch by batch. The default is set to 10000. |
N |
DECLARE @ProcessTime datetime2;
SET @ProcessTime = '2024-07-11 13:44:42.7856026';
EXEC [tddiscovery].[Delete_TaskMining_ActivityHistory] @CutoffTimeStamp = @ProcessTime;
DECLARE @ProcessTime datetime2;
SET @ProcessTime = '2024-07-11 13:44:42.7856026';
EXEC [tddiscovery].[Delete_TaskMining_ActivityHistory] @CutoffTimeStamp = @ProcessTime;
For more information, see the official Microsoft documentation on Stored procedures.