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Class TargetDimensionRow

Defining target dimension
Row Object for table 'target_dimension'. Row objects correspond directly to database tables, and one instance of a row object represents one row in the corresponding table in the database.

Inheritance
Object
SqlCommand
PrivateSave
TableRowBase
TargetDimensionRow
Implements
INestedPersist
ISoDataLookup
ISentryIgnorable
ISoItem
Inherited Members
TableRowBase._saveOwner
TableRowBase._sentries
TableRowBase._relatedNestedPersistMembers
TableRowBase._isSaving
TableRowBase._sqlType
TableRowBase.InternalSetValue(Int32, Object)
TableRowBase.InternalSetValue(SoField, Object)
TableRowBase.GetFieldValue(FieldInfo)
TableRowBase.GetKnownFields()
TableRowBase.ISoDataLookup.GetPersistedFieldValue(FieldInfo)
TableRowBase.ISoDataLookup.IsPersistedFieldValueKnown(FieldInfo)
TableRowBase.IsGhostField(FieldInfo)
TableRowBase.RowLoad()
TableRowBase.RowLoad(ITableRowLoadHandler)
TableRowBase.OnLoaded(IdxBase)
TableRowBase.Load(IdxBase, SoDataReader)
TableRowBase.Load(SoDataReader, TableInfo)
TableRowBase.SetDefaults()
TableRowBase.SetDefaults(DashboardTileDefinitionRow, String)
TableRowBase.SetSaveOwner(INestedPersist)
TableRowBase.Save()
TableRowBase.Delete()
TableRowBase.add_OnElementSaved(OnSaved)
TableRowBase.remove_OnElementSaved(OnSaved)
TableRowBase.add_OnElementIdUpdate(OnIdUpdate)
TableRowBase.remove_OnElementIdUpdate(OnIdUpdate)
TableRowBase.Validate()
TableRowBase.SetDirty(Int32, Object, Object)
TableRowBase.INestedPersist.OnPreIdUpdate()
TableRowBase.INestedPersist.OnPrimaryKeyRequest(PKContainer)
TableRowBase.INestedPersist.OnPrimaryKeyUpdate(PKContainer)
TableRowBase.INestedPersist.OnIdUpdate()
TableRowBase.INestedPersist.OnSave(BatchSave)
TableRowBase.INestedPersist.OnSaved(Boolean)
TableRowBase.OnPreIdUpdate()
TableRowBase.OnPrimaryKeyRequest(PKContainer)
TableRowBase.OnPrimaryKeyUpdate(PKContainer)
TableRowBase.OnIdUpdate()
TableRowBase.BeginIgnoreSentryCheck()
TableRowBase.EndIgnoreSentryCheck()
TableRowBase.GetRelatedNestedPersist()
TableRowBase.Item[Int32]
TableRowBase.Item[SoField]
TableRowBase.Sentries
TableRowBase.ForeignKeyHelper
TableRowBase.IsDeleted
TableRowBase.IsSaving
TableRowBase.SqlType
TableRowBase.IsSentryIgnored
TableRowBase.IsMarkedForDelete
TableRowBase.OnElementSaved
TableRowBase.OnElementIdUpdate
PrivateSave.GetTableInfos()
PrivateSave.add_OnUpdateField(UpdateField)
PrivateSave.remove_OnUpdateField(UpdateField)
PrivateSave.CloneToBasicUpdatingQuery()
PrivateSave.SetTicketLogAction(TicketLogAction, String)
PrivateSave.DoNotWriteTraveltransactionLog
PrivateSave.OnUpdateField
SqlCommand.Origin
SqlCommand.AdditionalInfo
SqlCommand.AddIgnoreAutoSentryTableInfo(TableInfo)
SqlCommand.AddIgnoreAutoSentryTableInfo(IEnumerable<TableInfo>)
SqlCommand.RemoveIgnoreAutoSentryTableInfo(TableInfo)
SqlCommand.ClearIgnoreAutoSentryTableInfos()
SqlCommand.IsAutoSentryIgnoredOnTableInfo(TableInfo)
SqlCommand.GetPrivateSaves()
SqlCommand.GetInserts()
SqlCommand.GetUpdates()
SqlCommand.GetDeletes()
SqlCommand.GetSelect()
SqlCommand.AutoSentryIgnoredTables
Namespace: SuperOffice.CRM.Rows
Assembly: SoDataBase.dll
Syntax
public class TargetDimensionRow : TableRowBase, INestedPersist, ISoDataLookup, ISentryIgnorable, ISoItem
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Constructors

TargetDimensionRow(TargetDimensionRow.TargetDimensionRowIdxBase)

Constructor for the class taking an index as argument. Defining target dimension

Declaration
protected TargetDimensionRow(TargetDimensionRow.TargetDimensionRowIdxBase idx)
Parameters
Type Name Description
TargetDimensionRow.TargetDimensionRowIdxBase idx

The index representing a SELECT command to the database.

Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Fields

_currentAssignmentLevel

Current value, see property AssignmentLevel.

Declaration
protected TargetAssignementLevel _currentAssignmentLevel
Field Value
Type Description
TargetAssignementLevel
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentDimensionListField

Current value, see property DimensionListField.

Declaration
protected string _currentDimensionListField
Field Value
Type Description
String
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentEntityType

Current value, see property EntityType.

Declaration
protected TargetEntityType _currentEntityType
Field Value
Type Description
TargetEntityType
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentMeasurementUnit

Current value, see property MeasurementUnit.

Declaration
protected TargetMeasurementUnit _currentMeasurementUnit
Field Value
Type Description
TargetMeasurementUnit
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentRegistered

Current value, see property Registered.

Declaration
protected DateTime _currentRegistered
Field Value
Type Description
DateTime
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentRegisteredAssociateId

Current value, see property RegisteredAssociateId.

Declaration
protected int _currentRegisteredAssociateId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentSelectedDimensions

Current value, see property SelectedDimensions.

Declaration
protected int[] _currentSelectedDimensions
Field Value
Type Description
Int32[]
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentTargetDimensionId

Current value, see property TargetDimensionId.

Declaration
protected int _currentTargetDimensionId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentUpdated

Current value, see property Updated.

Declaration
protected DateTime _currentUpdated
Field Value
Type Description
DateTime
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentUpdatedAssociateId

Current value, see property UpdatedAssociateId.

Declaration
protected int _currentUpdatedAssociateId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_currentUpdatedCount

Current value, see property UpdatedCount.

Declaration
protected short _currentUpdatedCount
Field Value
Type Description
Int16
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedAssignmentLevel

Persisted value, see property AssignmentLevel.

Declaration
protected TargetAssignementLevel _persistedAssignmentLevel
Field Value
Type Description
TargetAssignementLevel
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedDimensionListField

Persisted value, see property DimensionListField.

Declaration
protected string _persistedDimensionListField
Field Value
Type Description
String
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedEntityType

Persisted value, see property EntityType.

Declaration
protected TargetEntityType _persistedEntityType
Field Value
Type Description
TargetEntityType
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedMeasurementUnit

Persisted value, see property MeasurementUnit.

Declaration
protected TargetMeasurementUnit _persistedMeasurementUnit
Field Value
Type Description
TargetMeasurementUnit
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedRegistered

Persisted value, see property Registered.

Declaration
protected DateTime _persistedRegistered
Field Value
Type Description
DateTime
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedRegisteredAssociateId

Persisted value, see property RegisteredAssociateId.

Declaration
protected int _persistedRegisteredAssociateId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedSelectedDimensions

Persisted value, see property SelectedDimensions.

Declaration
protected int[] _persistedSelectedDimensions
Field Value
Type Description
Int32[]
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedTargetDimensionId

Persisted value, see property TargetDimensionId.

Declaration
protected int _persistedTargetDimensionId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedUpdated

Persisted value, see property Updated.

Declaration
protected DateTime _persistedUpdated
Field Value
Type Description
DateTime
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedUpdatedAssociateId

Persisted value, see property UpdatedAssociateId.

Declaration
protected int _persistedUpdatedAssociateId
Field Value
Type Description
Int32
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

_persistedUpdatedCount

Persisted value, see property UpdatedCount.

Declaration
protected short _persistedUpdatedCount
Field Value
Type Description
Int16
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Properties

AssignmentLevel

.NET type: TargetAssignementLevel. What level this dimension can be assigned to (Company, Group, Associate)

Declaration
public virtual TargetAssignementLevel AssignmentLevel { get; set; }
Property Value
Type Description
TargetAssignementLevel
Remarks

Original type in dictionary: Enum.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value ((short)0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

DimensionListField

.NET type: string. List that defines the dimensions for this target matrix (ex: Sale type, source, partner, business, udef or extrafield lists...)

Declaration
public virtual string DimensionListField { get; set; }
Property Value
Type Description
String
Remarks

Original type in dictionary: String[256].

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (string.Empty)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

EntityType

.NET type: TargetEntityType. Entity type for this set of targets (Sale, Project, Selection, Appointment...)

Declaration
public virtual TargetEntityType EntityType { get; set; }
Property Value
Type Description
TargetEntityType
Remarks

Original type in dictionary: Enum.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value ((short)0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

InnerFieldValuePairs

The values of all the fields in the row.
The first field is the primary key.
The index of the value corresponds to the name of the field returned from the Fields property.

Declaration
protected override ArgumentParameterCollection InnerFieldValuePairs { get; }
Property Value
Type Description
ArgumentParameterCollection
Overrides
PrivateSave.InnerFieldValuePairs
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

InnerPrimaryKey

The primary key needed to decide which specific row to alter with the current sql-command.

Declaration
protected override FieldInfo InnerPrimaryKey { get; }
Property Value
Type Description
FieldInfo
Overrides
PrivateSave.InnerPrimaryKey
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

InnerPrimaryKeyValue

The actual value the primary key must have.

Declaration
protected override Parameter InnerPrimaryKeyValue { get; }
Property Value
Type Description
Parameter
Overrides
PrivateSave.InnerPrimaryKeyValue
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

IsDirty

Is the row dirty, e.g. been modified since the last time it was saved to the database.

Declaration
public override bool IsDirty { get; }
Property Value
Type Description
Boolean
Overrides
TableRowBase.IsDirty
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

IsNew

Is this object new, meaning that it does not exist in the database.

Declaration
public override bool IsNew { get; }
Property Value
Type Description
Boolean
Overrides
TableRowBase.IsNew
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Item[String]

Get or set a value based on the name of the field.

Declaration
public override object this[string fieldName] { get; set; }
Parameters
Type Name Description
String fieldName

Name of the field in the database

Property Value
Type Description
Object

Value of the field.

Overrides
TableRowBase.Item[String]
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Exceptions
Type Condition
ArgumentException

Thrown if the field is not known.

MeasurementUnit

.NET type: TargetMeasurementUnit. What to measure (Amount, Count, Profit...

Declaration
public virtual TargetMeasurementUnit MeasurementUnit { get; set; }
Property Value
Type Description
TargetMeasurementUnit
Remarks

Original type in dictionary: Enum.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value ((short)0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

Registered

.NET type: DateTime. Registered when in UTC

Declaration
public virtual DateTime Registered { get; set; }
Property Value
Type Description
DateTime
Remarks

Original type in dictionary: UtcDateTime.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (DateTime.MinValue)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

RegisteredAssociateId

.NET type: int. Registered by whom

Declaration
public virtual int RegisteredAssociateId { get; set; }
Property Value
Type Description
Int32
Remarks

Original type in dictionary: FK.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

SelectedDimensions

.NET type: Int32[]. id's of the selected/wanted dimensions (what sale types or udef list lines that should be target dimensions)

Declaration
public virtual int[] SelectedDimensions { get; set; }
Property Value
Type Description
Int32[]
Remarks

Original type in dictionary: FKArray.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (new int[0])

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

TableInfo

Get the TableInfo for the table.

Declaration
public override TableInfo TableInfo { get; }
Property Value
Type Description
TableInfo

The TableInfo for the table.

Overrides
TableRowBase.TableInfo
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

TargetDimensionId

.NET type: int. Primary key

Declaration
public virtual int TargetDimensionId { get; }
Property Value
Type Description
Int32
Remarks

Original type in dictionary: PK.

This field is the primary key and can only be read, never written.

This field is not protected by the Sentry system, and can always be read

TargetDimensionTableInfo

Get the TargetDimensionTableInfo object associated with the row.

Declaration
public TargetDimensionTableInfo TargetDimensionTableInfo { get; }
Property Value
Type Description
TargetDimensionTableInfo
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Updated

.NET type: DateTime. Last updated when in UTC

Declaration
public virtual DateTime Updated { get; set; }
Property Value
Type Description
DateTime
Remarks

Original type in dictionary: UtcDateTime.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (DateTime.MinValue)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

UpdatedAssociateId

.NET type: int. Last updated by whom

Declaration
public virtual int UpdatedAssociateId { get; set; }
Property Value
Type Description
Int32
Remarks

Original type in dictionary: FK.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value (0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

UpdatedCount

.NET type: short. Number of updates made to this record

Declaration
public virtual short UpdatedCount { get; set; }
Property Value
Type Description
Int16
Remarks

Original type in dictionary: UShort.

You need to have Read access to get the value of this field. If you do not have access, you will get a blank value ((Int16)0)

You need to have Write access to set this field to a new value (Sentry will throw exception otherwise)

Setting this field to a new value will not affect the Sentry calculations and your rights

Exceptions
Type Condition
SoSentryException

Thrown if the set method is accessed without having the Write access right to the field

Methods

CreateNew()

Create a new instance of the TargetDimensionRow object. Defining target dimension

Declaration
public static TargetDimensionRow CreateNew()
Returns
Type Description
TargetDimensionRow

A new instance of the TargetDimensionRow object.

Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

GetFromCustomSearch(TargetDimensionRow.CustomSearch)

Create a new instance of the TargetDimensionRow object, and populate it with data from a custom search. If the search returns no results, an object with IsNew will be returned; if the result contains one row, an object representing that row will be returned. If the result contains more than one row, the first row will be used and the rest discarded (there is no way of detecting this situation).

Declaration
public static TargetDimensionRow GetFromCustomSearch(TargetDimensionRow.CustomSearch query)
Parameters
Type Name Description
TargetDimensionRow.CustomSearch query

The custom search to execute against the database

Returns
Type Description
TargetDimensionRow

A new instance of the TargetDimensionRow object, reflecting the result of the query.

Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

GetFromIdxTargetDimensionId(Int32)

Create a new instance of the TargetDimensionRow object, by querying the database table via the index 'IDXTarget_dimensionId'. This method is intended to make it easy to use efficient queries that match a database index.

Declaration
public static TargetDimensionRow GetFromIdxTargetDimensionId(int targetDimensionId)
Parameters
Type Name Description
Int32 targetDimensionId
Returns
Type Description
TargetDimensionRow

Row object that represents the result of the search. IsNew will be true if the query did not match any row in the table

Remarks

This method represents one of the unique indexes on the TargetDimension table. Non-unique indexes have corresponding inner classes and methods in the TargetDimensionRows collection, since they may return more than one row.

GetFromReader(SoDataReader, TargetDimensionTableInfo)

Create a new instance of the TargetDimensionRow object, and populate it with data from a reader/tableinfo. If the reader has DBNull as the current value of the primary key field, an unpopulated object with IsNew == true will be returned. If any fields are missing or one of the non-primary key fields is DBNull, an exception will be thrown. Defining target dimension

Declaration
public static TargetDimensionRow GetFromReader(SoDataReader reader, TargetDimensionTableInfo tableInfo)
Parameters
Type Name Description
SoDataReader reader

SoDataReader positioned to a valid database row.

TargetDimensionTableInfo tableInfo

TargetDimensionTableInfo instance used in the query that is the source of the reader. The fields used from the reader will be those owned by this tableinfo object.

Returns
Type Description
TargetDimensionRow

A new instance of the TargetDimensionRow object.

Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

GetPersistedFieldValue(FieldInfo)

Get the persisted value of a field.

Declaration
public override object GetPersistedFieldValue(FieldInfo field)
Parameters
Type Name Description
FieldInfo field

Specification of a field

Returns
Type Description
Object

Field value, such as an int, DateTime, string ... Null can be returned if the value is not known.

Overrides
PrivateSave.GetPersistedFieldValue(FieldInfo)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Exceptions
Type Condition
ArgumentException

Thrown if the field is not known.

InternalSetValue(String, Object)

Defining target dimension
Row Object for table 'target_dimension'. Row objects correspond directly to database tables, and one instance of a row object represents one row in the corresponding table in the database.

Declaration
protected override void InternalSetValue(string fieldName, object value)
Parameters
Type Name Description
String fieldName
Object value
Overrides
TableRowBase.InternalSetValue(String, Object)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

IsPersistedFieldValueKnown(FieldInfo)

Check if the persisted value for a field is known.

Declaration
public override bool IsPersistedFieldValueKnown(FieldInfo field)
Parameters
Type Name Description
FieldInfo field

Specification of a field

Returns
Type Description
Boolean

True if the value is known and sentry permits read.

Overrides
PrivateSave.IsPersistedFieldValueKnown(FieldInfo)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

OnLoad(SoDataReader, TableInfo)

Fill the object with data returned from the database.

Declaration
protected override void OnLoad(SoDataReader reader, TableInfo tableInfo)
Parameters
Type Name Description
SoDataReader reader

Object holding the data returned from the database.

TableInfo tableInfo

The TableInfo used for the SELECT statement.

Overrides
TableRowBase.OnLoad(SoDataReader, TableInfo)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

OnSave(BatchSave)

Add the object to the BatchSave list if it needs saving.

Declaration
protected override void OnSave(BatchSave batchSave)
Parameters
Type Name Description
BatchSave batchSave

Collection of objects to be saved within the transaction.

Overrides
TableRowBase.OnSave(BatchSave)
Remarks

Classes overriding this method should call it.

OnSaved(Boolean)

Method called after the save operation has been performed.

Declaration
protected override void OnSaved(bool bSucceeded)
Parameters
Type Name Description
Boolean bSucceeded

True if the save operation succeeded (e.g. transaction committed), or false if the save operation failed (e.g. transaction rolled back)

Overrides
TableRowBase.OnSaved(Boolean)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Reset()

Reset the changes made on the object.

Declaration
protected override void Reset()
Overrides
TableRowBase.Reset()
Remarks

If the row is not persisted to the database (e.g. IsNew is true), all the values will be reset. If the row has been persisted to or loaded from the database, the properties will be set to those of the last persisted or loaded values.

SetDefaults(DefaulterStrategy)

Set default values for the row.

Declaration
public override void SetDefaults(DefaulterStrategy strategy)
Parameters
Type Name Description
DefaulterStrategy strategy

Strategy used when applying default values; values depend on where we are in the Create/Fetch/Populate/Save cycle

Overrides
TableRowBase.SetDefaults(DefaulterStrategy)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

SetPrimaryKey(Int32)

Set the primary key for the row.

Declaration
protected override void SetPrimaryKey(int primaryKey)
Parameters
Type Name Description
Int32 primaryKey

The new primary key for the row.

Overrides
TableRowBase.SetPrimaryKey(Int32)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

SetRowAsNew()

Defining target dimension
Row Object for table 'target_dimension'. Row objects correspond directly to database tables, and one instance of a row object represents one row in the corresponding table in the database.

Declaration
public override void SetRowAsNew()
Overrides
TableRowBase.SetRowAsNew()
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

ToString()

ToString method intended for debugging, returns a string that displays the object type, new/dirty status, primary key and the string fields

Declaration
public override string ToString()
Returns
Type Description
String
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Validate(RowValidator)

Validate this row.

Declaration
public override void Validate(RowValidator rowValidator)
Parameters
Type Name Description
RowValidator rowValidator

RowValidator for inserting the result of the validation

Overrides
TableRowBase.Validate(RowValidator)
Remarks

Row objects can be created in several ways.

  • Use the static CreateNew() method to create a new, empty object. After populating it with values, you call the method and a corresponding row in the database is created, and the objects' primary key field updated. This is the preferred way to insert new rows into the database.
  • You can create a (nested) TargetDimensionRow TargetDimensionRow.CustomSearch object to obtain a query pre-populated with the correct tableinfo and return fields. This query can be modified with restrictions, etc. Then, use the static GetFromCustomSearch(TargetDimensionRow.CustomSearch) method to apply the query to the database and obtain the result as a Row object. This is how you select existing rows from the database when you have a query that does not correspond to any of the existing database indexes.
  • For each unique index defined for the table, there is a corresponding GetFromIdx method to make retrieving data via the indexes easy. Note that if you try to fetch a row that does not exist (for instance, by using the primary key index and specifying a primary key that does not exist in the database), you will get a Row object with the and properties set to true. Such a Row object is called a 'ghost' and cannot be updated, saved or deleted. You can also get a ghost if the row does exist in the database, but the Sentry system denies Select rights to the row.
  • Finally, if you have an SoDataReader that contains ALL the fields of the table, and you have the TargetDimensionTableInfo instance used in the query behind the reader, you can use the static GetFromReader(SoDataReader, TargetDimensionTableInfo) method to create a new row object from the reader and the table info. This is useful when you have a larger, more complex query, for instance one that joins a number of tables, and you wish to use Row objects to process the result set. If your result set corresponds to an entity, consider using the corresponding Entity layer object instead, since entities automatically handle ID allocation and mapping, rights, and other higher-level aspects.
Non-unique indexes are handled through the TargetDimensionRows collection, which has nested classes and GetFromIdx methods for each non-unique index. Similarly, there is a GetFromReader(SoDataReader, TargetDimensionTableInfo) method to retrieve the results of queries that return more than one row.

Unique indexes on table TargetDimension are:
Index fieldsNested index class name

Implements

INestedPersist
ISoDataLookup
ISentryIgnorable
ISoItem

Extension Methods

EnumUtil.MapEnums<From, To>(From)
QueryExectionExtensions.ExecuteReader(SqlCommand, Boolean)
QueryExectionExtensions.ExecuteScalar<T>(SqlCommand)
QueryExectionExtensions.ExecuteScalar<T>(SqlCommand, Boolean)
QueryExectionExtensions.ExecuteNonQuery(SqlCommand)
TargetDimensionRecordDataExtensions.ToRecordData(TargetDimensionRow)
Converters.MapEnums<From, To>(From)
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