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Identity Manager 9.2.1 - Configuration Guide

About this guide One Identity Manager software architecture Customizing the One Identity Manager default configuration Customizing the One Identity Manager base configuration One Identity Manager schema basics
Overview of the One Identity Manager schema Table types and default columns in the One Identity Manager data model Notes on editing table definitions and column definitions Table definitions Column definitions Table relations Dynamic foreign key Supporting file groups
Editing the user interface
Object definitions for the user interface User interface navigation Forms for the user interface Statistics in One Identity Manager Extending the Launchpad Task definitions for the user interface Applications for configuring the user interface Icons and images for configuring the user interface Using predefined database queries
Localization in One Identity Manager Process orchestration in One Identity Manager
Mapping processes in One Identity Manager Setting up Job servers
The One Identity Manager Service functionality Tracking changes with process monitoring Conditional compilation using preprocessor conditions Scripts in One Identity Manager
Visual Basic .NET scripts usage Notes on message output Notes on using date values Tips for using PowerShell scripts Using dollar ($) notation Using base objects Calling functions Pre-scripts for use in processes and process steps Using session services Using #LD notation Script library Support for processing scripts in the Script Editor Creating and editing scripts in the Script Editor Copying scripts in the Script Editor Testing scripts in the Script Editor Testing script compilation in the Script Editor Overriding scripts Permissions for running scripts Editing and testing script code with the System Debugger Extended debugging in the Object Browser
One Identity Manager query language Reports in One Identity Manager Adding custom tables or columns to the One Identity Manager schema Web service integration One Identity Manager as SCIM 2.0 service provider Processing DBQueue tasks One Identity Manager Service configuration files

Recording messages in the process history

In the process history (JobHistory table), the processes being handled are logged. You can analyze the process history in Job Queue Info. For more information, see the One Identity Manager Process Monitoring and Troubleshooting Guide.

To log messages to the process history

  • In the Designer, check if the Common | ProcessState configuration parameter is set. If not, set the configuration parameter.

  • In the Designer, check if the Common | ProcessState | ProgressView configuration parameter is set. If not, set the configuration parameter. Select the scope of logging through the configuration parameter option.

    Table 123: Permitted values of the “Common | ProcessState | JobHistory” configuration parameter
    Value Meaning

    NO

    No messages are logged in the process history.

    ALL

    All process steps being handled are logged in the process history.

    ERROR

    On failed process steps are logged in the process history.

    ERRORorSELECTED

    Failed process steps and process steps labeled with the Process history option are logged in the process history.

    SELECTED

    Only process steps labeled with the Process history option are logged in the process history.

  • Use the Common | ProcessState | JobHistory | TrimLongParameters configuration parameter to specify the length of process parameter values that are logged in the process history.

Log entries in the process history are exported from the One Identity Manager database at regular intervals. One Identity Manager provides various methods to do this. For more information, see Archiving and deleting records.

Process tracking for DBQueue Processor operations

In order to track inherited calculations as a result of changes to the system, the GenProcID is always passed to the DBQueue Processor operation. There may only be one entry in the DBQueue for each operation and object in case of follow-on operations. To map such processes, a new GenProcID is issued and used in subsequent processes. The conflicting processes and their GenProcID’s are saved in the DialogProcessSubstitute table.

When a new GenProcID is created for conflicting processes, the following rules apply:

  • Several of the same DBQueue Processor operations on one object are merged into one process (one GenProcID). This uses existing substitute processes if the number is identical to the predecessor (with respect to the root processes).

  • If further conflicts occur in the sequence, the GenProcIDs that have already been replaced are reset to the original and a new substitute is created.

  • A substitute is only valid for one set of original processes.

The QBM | DBQueue | GenProcIDReplaceLimit configuration parameter defines the limit for process substitutions. The maximum number of conflicting processes are mapped in the DialogProcessSubstitute table. If necessary, you can set the configuration parameter in the Designer and change the value.

Related topics

Example of replacing the GenProcID

A hierarchical role structure exists which consists of 4 roles O1, O2, O3, and O4. Identity X is assigned to roles O1, O4, and O3. The assignment of software to roles is depicted in the following.

Figure 29: Role structure as in the example above

Three processes run between two DBQueue Processor runs, each with its own GenProcID:

  • P1: Software application A1 is assigned to the role O1

  • P2: Software application A2 is assigned to the role O1

  • P3: Software application A3 is assigned to the role O2

The following operations are in the DBQueue (DialogDBQueue table) and in the process information:

Operation Object GenProcID

OrgHasApp

O1

P1

OrgHasApp

O1

P2

OrgHasApp

O2

P3

The operation OrgHasApp cannot be subdivided with respect to O1 because the union of software applications is being calculated for O1. At this point, no more information is available as to which GenProcID has been entered by the assignment for which software application.

In order to achieve uniqueness for the combination of operation and object, a new GenProcID P4 is introduced and the two O1 operations are compacted into this GenProcID. P1 and P2 are noted in the DialogProcessSubstitute table as possible predecessors of P4 (but not clearly in the individual actions).

Operation Object GenProcID

OrgHasApp

O1

P4

OrgHasApp

O2

P3

The following constellations can occur depending on whether the operation OrgHasApp is processed as a single step or in bulk:

  • Case 1) O1 is calculated and then O2.
  • Case 2) O2 is calculated and then O1.
  • Case 3) O1 and O2 are calculated together simultaneously in a bulk operation.

After these operations have been run and assuming that they all cause changes to the total sets affected, the following situation arises:

Case 1) O1 is calculated and then O2.
Operation Object GenProcID

OrgHasApp

O2

P3

OrgHasApp

O4

P4

OrgHasApp

O2

P4

OrgHasApp

O3

P4

PersonHasApp

X

P4

Before the next DBQueue Processor run, the GenProcID’s must be compressed again, because the OrgHasApp operation did not produce a unique result for the object O2. P5 is introduced with possible predecessors P4 and P3.

Operation Object GenProcID

OrgHasApp

O2

P5

OrgHasApp

O4

P4

OrgHasApp

O3

P4

PersonHasApp

X

P4

Now the calculation is done for O2:

Operation Object GenProcID

OrgHasApp

O3

P5

PersonHasApp

X

P5

OrgHasApp

O4

P4

OrgHasApp

O3

P4

PersonHasApp

X

P4

Because O3 is not unique, P6 is introduced with possible predecessors P4 and P5.

Operation Object GenProcID

OrgHasApp

O3

P6

PersonHasApp

X

P5

OrgHasApp

O4

P4

PersonHasApp

X

P4

After O3 and O4 have been calculated, the following situation exists:

Operation Object GenProcID

PersonHasApp

X

P6

PersonHasApp

X

P5

PersonHasApp

X

P4

There is no uniqueness for object X such that P7 is introduced with possible predecessors P4, P5 and P6.

Case 2) O2 is calculated and then O1.
Operation Object GenProcID

OrgHasApp

O1

P4

OrgHasApp

O2

P3

After running, the following entries are in the DBQueue:

Operation Object GenProcID

OrgHasApp

O1

P4

OrgHasApp

O3

P3

The following situation is the result after the next step:

Operation Object GenProcID

OrgHasApp

O3

P3

OrgHasApp

O4

P4

OrgHasApp

O2

P4

OrgHasApp

O3

P4

PersonHasApp

X

P4

To achieve uniqueness for O3 a process P5 with possible predecessors P3 and P4 is created:

Operation Object GenProcID

OrgHasApp

O3

P5

OrgHasApp

O4

P4

OrgHasApp

O2

P4

PersonHasApp

X

P4

After the calculations, the following situation exists:

Operation Object GenProcID

PersonHasApp

X

P5

PersonHasApp

X

P4

There is no uniqueness for object X such that P6 is introduced with possible predecessors P4 and P5.

Case 3) O1 and O2 are calculated together simultaneously in a bulk operation.
Operation Object GenProcID

OrgHasApp

O1

P4

OrgHasApp

O2

P3

After the first step in the calculation the following entries are in the DBQueue:

Operation Object GenProcID

OrgHasApp

O4

P4

OrgHasApp

O2

P4

OrgHasApp

O3

P4

OrgHasApp

O3

P3

PersonHasApp

X

P4

Uniqueness is achieved for O3 by introducing P5 with possible predecessors P3 and P4:

Operation Object GenProcID

OrgHasApp

O4

P4

OrgHasApp

O2

P4

OrgHasApp

O3

P5

PersonHasApp

X

P4

After the next step in the calculation, the following content is found

Operation Object GenProcID

OrgHasApp

O3

P4

PersonHasApp

X

P4

PersonHasApp

X

P5

After O3 has been calculated in the next run and has not created a new PersonHasApp entry, only X exists with P4 and P5 because X already exists with P4.

Operation Object GenProcID

PersonHasApp

X

P4

PersonHasApp

X

P5

There is no uniqueness for object X such that P6 is introduced with possible predecessors P4 and P5.

Archiving and deleting records

All entries logged in One Identity Manager are initially saved in the One Identity Manager database. The proportion of historical data to total volume of a One Identity Manager database should not exceed 25%. Otherwise, performance problems may arise. You must ensure that log entries are regularly removed from the One Identity Manager database and archived.

The following methods are provided for regularly removing recorded data from the One Identity Manager database:

  • The data can be transferred directly from the One Identity Manager database into a One Identity Manager History Database. This is the default procedure for data archiving. Select this method if the servers on which the One Identity Manager database and the One Identity Manager History Database are located have network connectivity.

  • The data is deleted from the One Identity Manager database after a certain amount of time without being archived.

For more information about setting up archiving of data in a History Database, see One Identity Manager Data Archiving Administration Guide.

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