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Transformation Custom Properties

업데이트: 2006년 12월 12일

The data flow objects in the Microsoft SQL Server 2005 Integration Services(SSIS) object model have many common properties that can be set at the level of the component, input or output, input column or output column. Many data flow objects also have custom properties that are specific to the object. These custom properties are available only at run time, and are not documented in the Integration Services Managed Programming Reference Documentation.

This topic lists and describes the custom properties of the various data flow transformations. For information about the properties common to most data flow objects, see Common Properties.

Some properties of transformations can be set by using property expressions. For more information, see Using Property Expressions to Specify Property Values for Data Flow Objects.

Transformations with Custom Properties

Aggregate

Audit

Character Map

Conditional Split

Copy Column

Data Conversion

Data Mining Query

Derived Column

Export Column

Fuzzy Grouping

Fuzzy Lookup

Import Column

Lookup

Merge Join

OLE DB Command

Percentage Sampling

Pivot

Row Count

Row Sampling

Script Component

Slowly Changing Dimension

Sort

Term Extraction

Term Lookup

Unpivot

 

 

Transformations Without Custom Properties

The following transformations have no custom properties at the component, input, or output levels. They use only the properties common to all data flow components.

To view the list of properties common to all data flow components, see Common Properties.

Aggregate Transformation Custom Properties

The Aggregate transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Aggregate transformation. All properties are read/write.

Property Data type Description

AutoExtendFactor

Integer

A value between 1 and 100 that specifies the percentage by which memory can be extended during the aggregation. The default value of this property is 25.

CountDistinctKeys

Integer

A value that specifies the exact number of distinct counts that the aggregation can write. If a CountDistinctScale value is specified, the value in CountDistinctKeys takes precedence.

CountDistinctScale

Integer (enumeration)

A value that describes the approximate number of distinct values in a column that the aggregation can count. Valid values are High, Low, Medium, and Unspecified. Low indicates up to 500,000 key values, Medium indicates up to 5 million key values, and High indicates more than 25 million key values. Unspecified indicates no CountDistinctScale value is used. Using the Unspecified option may affect performance in large data sets.

Keys

Integer

A value that specifies the exact number of Group By keys that the aggregation writes. If a KeyScale value is specified, the value in Keys takes precedence.

KeyScale

Integer (enumeration)

A value that describes approximately how many Group By key values the aggregation can write. Valid values are High, Low, Medium, and Unspecified. Low indicates up to 500,000 key values, Medium indicates up to 5 million key values, and High indicates more than 25 million key values. Unspecified indicates that no KeyScale value is used.

The following table describes the custom properties of the output of the Aggregate transformation. All properties are read/write.

Property Data type Description

Keys

Integer

A value that specifies the exact number of Group By keys that the aggregation can write. If a KeyScale value is specified, the value in Keys takes precedence.

KeyScale

Integer (enumeration)

A value that describes approximately how many Group By key values the aggregation can write. Valid values are High, Low, Medium, and Unspecified. Low indicates up to 500,000 key values, Medium indicates up to 5 million key values, and High indicates more than 25 million key values. Unspecified indicates no KeyScale value is used.

The following table describes the custom properties of the output columns of the Aggregate transformation. All properties are read/write.

Property Data type Description

AggregationColumnId

Integer

The LineageID of a column that participates in GROUP BY or aggregate functions.

AggregationComparisonFlags

Integer

A value that specifies how the Aggregate transformation compares string data in a column. For more information, see 문자열 데이터 비교.

AggregationType

Integer (enumeration)

A value that specifies the aggregation operation to be performed on the column. The valid values are Average, Count, Count all, Countdistinct, Group by, Maximum, Minimum, and Sum.

CountDistinctKeys

Integer

When the aggregation type is Count distinct, a value that specifies the exact number of keys that the aggregation can write. If a CountDistinctScale value is specified, the value in CountDistinctKeys takes precedence.

CountDistinctScale

Integer (enumeration)

When the aggregation type is Count distinct, a value that describes approximately how many key values the aggregation can write. Valid values are High, Low, Medium, and Unspecified. Low indicates up to 500,000 key values, Medium indicates up to 5 million key values, and High indicates more than 25 million key values. Unspecified indicates no CountDistinctScale value is used.

IsBig

Boolean

A value that indicates whether the column contains a value larger than 4 billion or a value with more precision than a double-precision floating-point value. The value can be 0 or 1. 0 indicates that IsBig is False and the column does not contain a large value or precise value. The default value of this property is 1.

The input and the input columns of the Aggregate transformation have no custom properties.

For more information, see 집계 변환.

Audit Transformation Custom Properties

The Audit transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the output columns of the Audit transformation. All properties are read/write.

Property name Data type Description

LineageItemSelected

Integer (enumeration)

The audit item selected for output.

The input, the input columns, and the output of the Audit transformation have no custom properties.

For more information, see 감사 변환.

Character Map Transformation Custom Properties

The Character Map transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the output columns of the Character Map transformation. All properties are read/write.

Property Data type Description

InputColumnLineageId

Integer

A value that specifies the LineageID of the input column that is the source of the output column.

MapFlags

Integer (enumeration)

A value that specifies the string operations that the Character Map transformation performs on the column.

The input, the input columns, and the output of the Character Map transformation have no custom properties.

For more information, see 문자표 변환.

Conditional Split Transformation Custom Properties

The Conditional Split transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the output of the Conditional Split transformation. All properties are read/write.

Property Data type Description

EvaluationOrder

Integer

A value that specifies the position of a condition, associated with an output, in the list of conditions that the Conditional Split transformation evaluates. The conditions are evaluated in order from the lowest to the highest value.

Expression

String

An expression that represents the condition that the Conditional Split transformation evaluates. Columns are represented by lineage identifiers.

FriendlyExpression

String

An expression that represents the condition that the Conditional Split transformation evaluates. Columns are represented by their names.

The value of this property can be specified by using a property expression.

IsDefaultOut

Boolean

A value that indicates whether the output is the default output.

The input, the input columns, and the output columns of the Conditional Split transformation have no custom properties.

For more information, see 조건부 분할 변환.

Copy Column Transformation Custom Properties

The Copy Column transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the output columns of the Copy Column transformation. All properties are read/write.

Property name Data type Description

copyColumnId

Integer

The LineageID of the input column from which the output column is copied.

The input, the input columns, and the output of the Copy Column transformation have no custom properties.

For more information, see 열 복사 변환.

Data Conversion Transformation Custom Properties

The Data Conversion transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the output columns of the Data Conversion transformation. All properties are read/write.

Property

Data type

Description

FastParse

Boolean

A value that indicates whether the column uses the quicker, but locale-insensitive, fast parsing routines that Integration Services provides, or the locale-sensitive standard parsing routines. The default value of this property is False. For more information, see 빠른 구문 분석 and 표준 구문 분석. .

ms136014.note(ko-kr,SQL.90).gif참고:

This property is not available in the Data Conversion Transformation Editor, but can be set by using the Advanced Editor.

SourceInputColumnLineageId

Integer

The LineageID of the input column that is the source of the output column.

The input, the input columns, and the output of the Data Conversion transformation have no custom properties.

For more information, see 데이터 변환.

Data Mining Query Transformation Custom Properties

The Data Mining Query transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Data Mining Query transformation. All properties are read/write.

Property Data type Description

ASConnectionId

String

The unique identifier of the connection object.

ASConnectionString

String

The connection string to an Analysis Services project or an Analysis Services database.

CatalogName

String

The name of an Analysis Services database.

ModelName

String

The name of the data mining model.

ModelStructureName

String

The name of the mining structure.

ObjectRef

String

An XML tag that identifies the data mining structure that the transformation uses.

QueryText

String

The prediction query statement that the transformation uses.

The input, the input columns, the output, and the output columns of the Data Mining Query transformation have no custom properties.

For more information, see 데이터 마이닝 쿼리 변환.

Derived Column Transformation Custom Properties

The Derived Column transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the input columns and output columns of the Derived Column transformation. When you choose to add the derived column as a new column, these custom properties apply to the new output column; when you choose to replace the contents of an existing input column with the derived results, these custom properties apply to the existing input column. All properties are read/write.

Property Data type Description

Expression

String

An expression that represents the condition that the Conditional Split transformation evaluates. Columns are represented by the LineageID property for the column.

FriendlyExpression

String

An expression that represents the condition that the Conditional Split transformation evaluates. Columns are represented by their names.

The value of this property can be specified by using a property expression.

The input and output of the Derived Column transformation have no custom properties.

For more information, see 파생 열 변환.

Export Column Transformation Custom Properties

The Export Column transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the input columns of the Export Column transformation. All properties are read/write.

Property Data type Description

AllowAppend

Boolean

A value that specifies whether the transformation appends data to an existing file. The default value of this property is False.

ForceTruncate

Boolean

A value that specifies whether the transformation truncates an existing files before writing data. The default value of this property is False.

FileDataColumnID

Integer

A value that identifies the column that contains the data that the transformation inserts into a file. On the Extract Column, this property has a value of 0; on the File Path Column, this property contains the LineageID of the Extract Column.

WriteBOM

Boolean

A value that specifies whether a byte-order mark (BOM) is written to the file.

The input, the output, and the output columns of the Export Column transformation have no custom properties.

For more information, see 열 내보내기 변환.

Import Column Transformation Custom Properties

The Import Column transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the input columns of the Import Column transformation. All properties are read/write.

Property Data type Description

ExpectBOM

Boolean

A value that specifies whether the Import Column transformation expects a byte-order mark (BOM). A BOM is only expected if the data has the DT_NTEXT data type.

FileDataColumnID

Integer

A value that identifies the column that contains the data that the transformation inserts into the data flow. On the column of data to be inserted, this property has a value of 0; on the column that contains the source file paths, this property contains the LineageID of the column of data to be inserted.

The input, the output, and the output columns of the Import Column transformation have no custom properties.

For more information, see 열 가져오기 변환.

Fuzzy Grouping Transformation Custom Properties

The Fuzzy Grouping transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Fuzzy Grouping transformation. All properties are read/write.

Property

Data type

Description

Delimiters

String

The token delimiters that the transformation uses. The default delimiters include the following characters: space ( ), comma(,), period (.), semicolon (;), colon (:), hyphen (-), double straight quotation mark ("), single straight quotation mark ('), ampersand (&), slash mark (/), backslash (\), at sign (@), exclamation point (!), question mark (?), opening parenthesis ((), closing parenthesis ()), less than (<), greater than (>), opening bracket ([), closing bracket (]), opening brace ({), closing brace (}), pipe (|), number sign (#), asterisk (*), caret (^), and percent (%).

Exhaustive

Boolean

A value that specifies whether each input record is compared to every other input record. The value of True is intended mostly for debugging purposes. The default value of this property is False.

ms136014.note(ko-kr,SQL.90).gif참고:

This property is not available in the Fuzzy Grouping Transformation Editor, but can be set by using the Advanced Editor.

MaxMemoryUsage

Integer

The maximum amount of memory for use by the transformation. The default value of this property is 0, which enables dynamic memory usage.

The value of this property can be specified by using a property expression.

ms136014.note(ko-kr,SQL.90).gif참고:

This property is not available in the Fuzzy Grouping Transformation Editor, but can be set by using the Advanced Editor.

MinSimilarity

Double

The similarity threshold that the transformation uses to identify duplicates, expressed as a value between 0 and 1. The default value of this property is 0.8.

The following table describes the custom properties of the input columns of the Fuzzy Grouping transformation. All properties are read/write.

Property Data type Description

ExactFuzzy

Integer (enumeration)

A value that specifies whether the transformation performs a fuzzy match or an exact match. The default value for this property is Fuzzy.

FuzzyComparisonFlags

Integer (enumeration)

A value that specifies how the transformation compares the string data in a column. For more information, see 문자열 데이터 비교.

LeadingTrailingNumeralsSignificant

Integer (enumeration)

A value that specifies the significance of numerals. Valid values are Neither, Leading, Trailing, and LeadingAndTrailing. Use Neither if numerals are not significant. Use Leading or Trailing if leading or trailing numerals are significant. Use LeadingAndTrailing if both leading and trailing numerals are significant.

MinSimilarity

Double

The similarity threshold used for the join on the column, specified as a value between 0 and 1. Only rows greater than the threshold qualify as matches.

ToBeCleaned

Boolean

A value that specifies whether the column is used to identify duplicates; that is, whether this is a column on which you are grouping. The default value of this property is False.

The following table describes the custom properties of the output columns of the Fuzzy Grouping transformation. All properties are read/write.

Property name Data type Description

ColumnType

Integer (enumeration)

A value that identifies the type of output column. The valid values are KeyIn, KeyOut, Score, Input, and Clean.

InputID

Integer

The LineageID of the corresponding input column.

The input and output of the Fuzzy Grouping transformation have no custom properties.

For more information, see 유사 항목 그룹화 변환.

Fuzzy Lookup Transformation Custom Properties

The Fuzzy Lookup transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Fuzzy Lookup transformation. All properties except for ReferenceMetadataXML are read/write.

Property

Data type

Description

CopyReferenceTable

Boolean

Specifies whether a copy of the reference table should be made for fuzzy lookup index construction and subsequent lookups. The default value of this property is True.

Delimiters

String

The delimiters that the transformation uses to tokenize column values. The default delimiters include the following characters: space ( ), comma (,), period (.) semicolon(;), colon (:) hyphen (-), double straight quotation mark ("), single straight quotation mark ('), ampersand (&), slash mark (/), backslash (\), at sign (@), exclamation point (!), question mark (?), opening parenthesis ((), closing parenthesis ()), less than (<), greater than (>), opening bracket ([), closing bracket (]), opening brace ({), closing brace (}), pipe (|). number sign (#), asterisk (*), caret (^), and percent (%).

DropExistingMatchIndex

Boolean

A value that specifies whether the match index specified in MatchIndexName is deleted when MatchIndexOptions is not set to ReuseExistingIndex. The default value for this property is True.

Exhaustive

Boolean

A value that specifies whether each input record is compared to every other input record. The value of True is intended mostly for debugging purposes. The default value of this property is False.

ms136014.note(ko-kr,SQL.90).gif참고:

This property is not available in the Fuzzy Lookup Transformation Editor, but can be set by using the Advanced Editor.

MatchIndexName

String

The name of the match index. The match index is the table in which the transformation creates and saves the index that it uses. If the match index is reused, MatchIndexName specifies the index to reuse. MatchIndexName must be a valid SQL Server identifier name. For example, if the name contains spaces, the name must be enclosed in brackets.

MatchIndexOptions

Integer (enumeration)

A value that specifies how the transformation manages the match index. Valid values are GenerateAndMaintainNewIndex, GenerateAndPersistNewIndex, GenerateNewIndex, and ReuseExistingIndex.

MaxMemoryUsage

Integer

The maximum cache size for the lookup table. The default value of this property is 0, which means the cache size has no limit.

The value of this property can be specified by using a property expression.

ms136014.note(ko-kr,SQL.90).gif참고:

This property is not available in the Fuzzy Lookup Transformation Editor, but can be set by using the Advanced Editor.

MaxOutputMatchesPerInput

Integer

The maximum number of matches the transformation can return for each input row. The default value of this property is 1.

ms136014.note(ko-kr,SQL.90).gif참고:

Values greater than 100 can only be specified by using the Advanced Editor.

MinSimilarity

Integer

The similarity threshold that the transformation uses at the component level, specified as a value between 0 and 1. Only rows greater than the threshold qualify as matches.

ReferenceMetadataXML

String

For internal use only.

ReferenceTableName

String

The name of the lookup table. The name must be a valid SQL Server identifier name. For example, if the name contains spaces, the name must be enclosed in brackets.

WarmCaches

Boolean

When true, the lookup partially loads the index and reference table into memory before execution begins. This can enhance performance.

The following table describes the custom properties of the input columns of the Fuzzy Lookup transformation. All properties are read/write.

Property Data type Description

FuzzyComparisonFlags

Integer

A value that specifies how the transformation compares the string data in a column. For more information, see 문자열 데이터 비교.

FuzzyComparisonFlagsEx

Integer (enumeration)

A value that specifies which extended comparison flags the transformation uses. The values can include MapExpandLigatures, MapFoldCZone, MapFoldDigits, MapPrecomposed, and NoMapping. NoMapping cannot be used with other flags.

JoinToReferenceColumn

String

A value that specifies the name of the column in the reference table to which the column is joined.

JoinType

Integer

A value that specifies whether the transformation performs a fuzzy or an exact match. The default value for this property is Fuzzy. The integer value for the exact join type is 1 and the value for the fuzzy join type is 2.

MinSimilarity

Double

The similarity threshold that the transformation uses at the column level, specified as a value between 0 and 1. Only rows greater than the threshold qualify as matches.

The following table describes the custom properties of the output columns of the Fuzzy Lookup transformation. All properties are read/write.

[!참고] For output columns that contain passthrough values from the corresponding input columns, CopyFromReferenceColumn is empty and SourceInputColumnLineageID contains the LineageID of the corresponding input column. For output columns that contain lookup results, CopyFromReferenceColumn contains the name of the lookup column, and SourceInputColumnLineageID is empty.

Property Data type Description

ColumnType

Integer (enumeration)

A value that identifies the type of output column for columns that the transformation adds to the output. The valid values are Similarity, Confidence, and ColumnSimilarity.

CopyFromReferenceColumn

String

A value that specifies the name of the column in the reference table that provides the value in an output column.

SourceInputColumnLineageId

Integer

A value that identifies the input column that provides values to this output column.

The input and output of the Fuzzy Lookup transformation have no custom properties.

For more information, see 유사 항목 조회 변환.

Lookup Transformation Custom Properties

The Lookup transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Lookup transformation. All properties except for ReferenceMetadataXML are read/write.

Property Data type Description

CacheType

Integer (enumeration)

The cache type for the lookup table. The following values are valid:

  • Full indicates that the transformation reads the complete reference dataset before the transformation processes the input. This is the default value.
  • Partial indicates that the size of the cache that is loaded with reference data is specified. You specify the cache size by setting the MaxMemoryUsage and MaxMemoryUsage64 properties.
  • None indicates that the reference dataset is accessed by each row in the rowset.

DefaultCodePage

Integer

The default code page to use when code page information is not available from the data source.

MaxMemoryUsage

Integer

The maximum cache size for the lookup table. The default value of this property is 25, which means that the cache size has no limit.

MaxMemoryUsage64

Integer

The maximum cache size for the lookup table on a 64-bit computer.

ParameterMap

String

A semicolon-delimited list of lineage IDs that map to the parameters used in the SqlCommand statement.

ReferenceMetaDataXML

String

Metadata for the columns in the lookup table that the transformation copies to its output.

SqlCommand

String

The SELECT statement that populates the lookup table.

SqlCommandParam

String

The parameterized SQL statement that populates the lookup table.

The following table describes the custom properties of the input columns of the Lookup transformation. All properties are read/write.

Property Data type Description

CopyFromReferenceColumn

String

The name of the column in the reference table from which a column is copied.

JoinToReferenceColumns

String

The name of the column in the reference table to which a source column joins.

The following table describes the custom properties of the output columns of the Lookup transformation. All properties are read/write.

Property name Data type Description

CopyFromReferenceColumn

String

The name of the column in the reference table from which a column is copied.

The input and output of the Lookup transformation have no custom properties.

For more information, see 조회 변환.

Merge Join Transformation Custom Properties

The Merge Join transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Merge Join transformation.

Property Data type Description

JoinType

Integer (enumeration)

Specifies whether the join is an inner, left outer, or full join.

MaxBuffersPerInput

Integer

The maximum number of buffers to use for each input. For more information on the use of this property, see 병합 조인 변환.

NumKeyColumns

Integer

The number of columns that are used in the join.

TreatNullsAsEqual

Boolean

A value that specifies whether the transformation handles null values as equal values. The default value of this property is True. If the property value is False, the transformation handles null values like SQL Server does.

The following table describes the custom properties of the output columns of the Merge Join transformation. All properties are read/write.

Property name Data type Description

InputColumnID

Integer

The LineageID of the input column from which data is copied to this output column.

The input, the input columns, and the output of the Merge Join transformation have no custom properties.

For more information, see 병합 조인 변환.

OLE DB Command Transformation Custom Properties

The OLE DB Command transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the OLE DB Command transformation.

Property name Data type Description

CommandTimeout

Integer

The maximum number of seconds that the SQL command can run before timing out. A value of 0 indicates an infinite time. The default value of this property is 0.

DefaultCodePage

Integer

The code page to use when code page information is unavailable from the data source.

SQLCommand

String

The Transact-SQL statement that the transformation runs for each row in the data flow.

The value of this property can be specified by using a property expression.

The following table describes the custom properties of the external columns of the OLE DB Command transformation. All properties are read/write.

Property name Data type Description

DBParamInfoFlag

Integer (bitmask)

A set of flags that describe parameter characteristics. For more information, see the DBPARAMFLAGSENUM in the OLE DB documentation in the MSDN Library.

The input, the input columns, the output, and the output columns of the OLE DB Command transformation have no custom properties.

For more information, see OLE DB 명령 변환.

Percentage Sampling Transformation Custom Properties

The Percentage Sampling transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Percentage Sampling transformation.

Property Data type Description

SamplingSeed

Integer

The seed the random number generator uses. The default value of this property is 0, indicating that the transformation uses a tick count.

SamplingValue

Integer

The size of the sample as a percentage of the source.

The value of this property can be specified by using a property expression.

The following table describes the custom properties of the outputs of the Percentage Sampling transformation. All properties are read/write.

Property name Data type Description

Selected

Boolean

Designates the output to which the sampled rows are directed. On the selected output, Selected is set to True, and on the unselected output, Selected is set to False.

The input, the input columns, and the output columns of the Percentage Sampling transformation have no custom properties.

For more information, see 비율 샘플링 변환.

Pivot Transformation Custom Properties

The Pivot transformation has only the properties common to all data flow components at the component level.

The following table describes the custom properties of the input columns of the Pivot transformation. All properties are read/write.

Property

Data type

Description

PivotUsage

Integer (enumeration)

A value that specifies the role of a column when the data set is pivoted.

Option value

Description

0The column is not pivoted, and the column values are passed through to the transformation output.

1The column is part of the set key that identifies one or more rows as part of one set. All input rows with the same set key are combined into one output row.

2The column is a pivot column. At least one column is created from each column value.

3The values from this column are put in columns that are created as a result of the pivot.

The following table describes the custom properties of the output columns of the Pivot transformation. All properties are read/write.

Property Data type Description

PivotKeyValue

String

One of the possible values from the column that is marked as the pivot key by the value of its PivotUsage property.

The value of this property can be specified by using a property expression.

SourceColumn

Integer

The LineageID of an input column that contains a pivoted value, or -1. The value of -1 indicates that the column is not used in a pivot operation.

The input and output of the Pivot transformation have no custom properties.

For more information, see 피벗 변환.

Row Count Transformation Custom Properties

The Row Count transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Row Count transformation. All properties are read/write.

Property name Data type Description

VariableName

String

The name of the variable that holds the row count.

The input, the input columns, the output, and the output columns of the Row Count transformation have no custom properties.

For more information, see 행 수 변환.

Row Sampling Transformation Custom Properties

The Row Sampling transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Row Sampling transformation. All properties are read/write.

Property Data type Description

SamplingSeed

Integer

The seed that the random number generator uses. The default value of this property is 0, indicating that the transformation uses a tick count.

SamplingValue

Integer

The row count of the sample.

The value of this property can be specified by using a property expression.

The following table describes the custom properties of the outputs of the Row Sampling transformation. All properties are read/write.

Property name Data type Description

Selected

Boolean

Designates the output to which the sampled rows are directed. On the selected output, Selected is set to True, and on the unselected output, Selected is set to False.

The following table describes the custom properties of the output columns of the Row Sampling transformation. All properties are read/write.

Property Data type Description

InputColumnLineageId

Integer

A value that specifies the LineageID of the input column that is the source of the output column.

The input and input columns of the Row Sampling transformation have no custom properties.

For more information, see 행 샘플링 변환.

Script Component Custom Properties

The Script Component has both custom properties and the properties common to all data flow components. The same custom properties are available whether the Script Component functions as a source, transformation, or destination.

The following table describes the custom properties of the Script Component. All properties are read/write.

Property name Data type Description

PreCompile

Boolean

A value that indicates whether the script is precompiled. The default value of this option is True.

ReadOnlyVariables

String

A comma-separated list of variables available to the Script Component for read-only access.

ReadWriteVariables

String

A comma-separated list of variables available to the Script Component for read/write access.

The input, the input columns, the output, and the output columns of the Script Component have no custom properties, unless the script developer creates custom properties for them.

For more information, see 스크립트 구성 요소.

Slowly Changing Dimension Transformation Custom Properties

The Slowly Changing Dimension transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Slowly Changing Dimension transformation. All properties are read/write.

Property Data type Description

CurrentRowWhere

String

The WHERE clause in the SELECT statement that selects the current row among rows with the same business key.

EnableInferredMember

Boolean

A value that specifies whether inferred member updates are detected. The default value of this property is True.

FailOnFixedAttributeChange

Boolean

A value that specifies whether the transformation fails when row columns with fixed attributes contain changes or the lookup in the dimension table fails. If you expect incoming rows to contain new records, set this value to True to make the transformation continue after the lookup fails, because the transformation uses the failure to identify new records. The default value of this property is False.

FailOnLookupFailure

Boolean

A value that specifies whether the transformation fails when a lookup of an existing record fails. The default value of this property is False.

IncomingRowChangeType

Integer

A value that specifies whether all incoming rows are new rows, or whether the transformation should detect the type of change.

InferredMemberIndicator

String

The column name for the inferred member.

SQLCommand

String

The SQL statement used to create a schema rowset.

UpdateChangingAttributeHistory

Boolean

A value that indicates whether historical attribute updates are directed to the transformation output for changing attribute updates.

The following table describes the custom properties of the input columns of the Slowly Changing Dimension transformation. All properties are read/write.

Property Data type Description

ColumnType

Integer (enumeration)

The update type of the column. The values are: Changing Attribute, Fixed Attribute, Historical Attribute, Key, and Other.

The input, the outputs, and the output columns of the Slowly Changing Dimension transformation have no custom properties.

For more information, see 느린 변경 차원 변환.

Sort Transformation Custom Properties

The Sort transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Sort transformation. All properties are read/write.

Property Data type Description

EliminateDuplicates

Boolean

Specifies whether the transformation removes duplicate rows from the transformation output. The default value of this property is False.

MaximumThreads

Integer

Contains the maximum number of threads the transformation can use for sorting. A value of 0 indicates an infinite number of threads. The default value of this property is 0.

The value of this property can be specified by using a property expression.

The following table describes the custom properties of the input columns of the Sort transformation. All properties are read/write.

Property Data type Description

NewComparisonFlags

Integer (bitmask)

A value that specifies how the transformation compares the string data in a column. For more information, see 문자열 데이터 비교.

NewSortKeyPosition

Integer

A value that specifies the sort order of the column. A value of 0 indicates that the data is not sorted on this column.

The following table describes the custom properties of the output columns of the Sort transformation. All properties are read/write.

Property Data type Description

SortColumnID

Integer

The LineageID of a sort column.

The input and output of the Sort transformation have no custom properties.

For more information, see 정렬 변환.

Term Extraction Transformation Custom Properties

The Term Extraction transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Term Extraction transformation. All properties are read/write.

Property Data ype Description

FrequencyThreshold

Integer

A numeric value that indicates the number of times a term must occur before it is extracted. The default value of this property is 2.

IsCaseSensitive

Boolean

A value that specifies whether case sensitivity is used when extracting nouns and noun phrases. The default value of this property is False.

MaxLengthOfTerm

Integer

A numeric value that indicates the maximum length of a term. This property applies only to phrases. The default value of this property is 12.

NeedRefenceData

Boolean

A value that specifies whether the transformation uses a list of exclusion terms stored in a reference table. The default value of this property is False.

OutTermColumn

String

The name of the column that contains the exclusion terms.

OutTermTable

String

The name of the table that contains the column with exclusion terms.

ScoreType

Integer

A value that specifies the type of score to associate with the term. Valid values are 0 indicating frequency, and 1 indicating a TFIDF score. The TFIDF score is the product of Term Frequency and Inverse Document Frequency, defined as: TFIDF of a Term T = (frequency of T) * log( (#rows in Input) / (#rows having T) ). The default value of this property is 0.

WordOrPhrase

Integer

A value that specifies term type. The valid values are 0 indicating words only, 1 indicating noun phrases only, and 2 indicating both words and noun phrases. The default value of this property is 0.

The input, the input columns, the output, and the output columns of the Term Extraction transformation have no custom properties.

For more information, see 용어 추출 변환.

Term Lookup Transformation Custom Properties

The Term Lookup transformation has both custom properties and the properties common to all data flow components.

The following table describes the custom properties of the Term Lookup transformation. All properties are read/write.

Property Data type Description

IsCaseSensitive

Boolean

A value that specifies whether a case sensitive comparison applies to the match of the input column text and the lookup term. The default value of this property is False.

RefTermColumn

String

The name of the column that contains the lookup terms.

RefTermTable

String

The name of the table that contains the column with lookup terms.

The following table describes the custom properties of the input columns of the Term Lookup transformation. All properties are read/write.

Property Data type Description

InputColumnType

Integer

A value that specifies the use of the column. Valid values are 0 for a passthrough column, 1 for a lookup column, and 2 for a column that is both a passthrough and a lookup column.

The following table describes the custom properties of the output columns of the Term Lookup transformation. All properties are read/write.

Property name Data type Description

CustomLineageID

Integer

The LineageID of the corresponding input column if the InputColumnType of that column is 0 or 2.

The input and output of the Term Lookup transformation have no custom properties.

For more information, see 용어 조회 변환.

Unpivot Transformation Custom Properties

The Unpivot transformation has only the properties common to all data flow components at the component level.

[!참고] This section relies on the Unpivot scenario described in 피벗 해제 변환 to illustrate the use of the options described here.

The following table describes the custom properties of the input columns of the Unpivot transformation. All properties are read/write.

Property Data type Description

DestinationColumn

Integer

The LineageID of the output column to which the input column maps. A value of -1 indicates that the input column is not mapped to an output column.

PivotKeyValue

String

A value that is copied to a transformation output column.

The value of this property can be specified by using a property expression.

In the Unpivot scenario described in 피벗 해제 변환, the Pivot Values are the text values Ham, Coke, Milk, Beer, and Chips. These will appear as text values in the new Product column designated by the Pivot Key Value Column Name option.

The following table describes the custom properties of the output columns of the Unpivot transformation. All properties are read/write.

Property name Data type Description

PivotKey

Boolean

Indicates whether the values in the PivotKeyValue property of input columns are written to this output column.

In the Unpivot scenario described in 피벗 해제 변환, the Pivot Value column name is Product and designates the new Product column into which the Ham, Coke, Milk, Beer, and Chips columns are unpivoted.

The input and output of the Unpivot transformation have no custom properties.

For more information, see 피벗 해제 변환.

Change History

Release History

2006년 12월 12일

Changed content:
  • Described the CacheType property values that are valid for a Lookup transformation.

2005년 12월 5일

New content:
  • Added WarmCaches property of Fuzzy Lookup Transformation.
  • Added DefaultCodePage and MaxMemoryUsage64 properties of Lookup transformation.
  • Added MaxBuffersPerInput property of Merge Join Transformation.

참고 항목

참조

Common Properties
Source Custom Properties
Destination Custom Properties
Path Properties

개념

Using Property Expressions to Specify Property Values for Data Flow Objects

관련 자료

Integration Services 변환

도움말 및 정보

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