Changes for page 12 Validation and Transformation Language (VTL)

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14	14
15	15	The VTL language can be applied to SDMX artefacts by mapping the SDMX IM model artefacts to the model artefacts that VTL can manipulate{{footnote}}In this chapter, in order to distinguish VTL and SDMX model artefacts, the VTL ones are written in the Arial font while the SDMX ones in Courier New{{/footnote}}. Thus, the SDMX artefacts can be used in VTL as inputs and/or outputs of Transformations. It is important to be aware that the artefacts do not always have the same names in the SDMX and VTL IMs, nor do they always have the same meaning. The more evident example is given by the SDMX Dataset and the VTL "Data Set", which do not correspond one another: as a matter of fact, the VTL "Data Set" maps to the SDMX "Dataflow", while the SDMX "Dataset" has no explicit mapping to VTL (such an abstraction is not needed in the definition of VTL Transformations). A SDMX "Dataset", however, is an instance of a SDMX "Dataflow" and can be the artefact on which the VTL transformations are executed (i.e., the Transformations are defined on Dataflows and are applied to Dataflow instances that can be Datasets).
16	16
17		-The VTL programs (Transformation Schemes) are represented in SDMX through the TransformationScheme maintainable class which is composed of Transformation (nameable artefact). Each Transformation assigns the outcome of the evaluation of a VTL expression to a result.
	17	+The VTL programs (Transformation Schemes) are represented in SDMX through the TransformationScheme maintainable class which is composed of
18	18
	19	+Transformation (nameable artefact). Each Transformation assigns the outcome of the evaluation of a VTL expression to a result.
	20	+
19	19	This section does not explain the VTL language or any of the content published in the VTL guides. Rather, this is a description of how the VTL can be used in the SDMX context and applied to SDMX artefacts.
20	20
21	21	== 12.2 References to SDMX artefacts from VTL statements ==
...	...	@@ -26,8 +26,10 @@
26	26
27	27	The alias of an SDMX artefact can be its URN (Universal Resource Name), an abbreviation of its URN or another user-defined name.
28	28
29		-In any case, the aliases used in the VTL Transformations have to be mapped to the SDMX artefacts through the VtlMappingScheme and VtlMapping classes (see the section of the SDMX IM relevant to the VTL). A VtlMapping allows specifying the aliases to be used in the VTL Transformations, Rulesets{{footnote}}See also the section "VTL-DL Rulesets" in the VTL Reference Manual.{{/footnote}} or User Defined Operators{{footnote}}The VTLMappings are used also for User Defined Operators (UDO). Although UDOs are envisaged to be defined on generic operands, so that the specific artefacts to be manipulated are passed as parameters at their invocation, it is also possible that an UDO invokes directly some specific SDMX artefacts. These SDMX artefacts have to be mapped to the corresponding aliases used in the definition of the UDO through the VtlMappingScheme and VtlMapping classes as well.{{/footnote}} to reference SDMX artefacts. A VtlMappingScheme is a container for zero or more VtlMapping.
	31	+In any case, the aliases used in the VTL Transformations have to be mapped to the
30	30
	33	+SDMX artefacts through the VtlMappingScheme and VtlMapping classes (see the section of the SDMX IM relevant to the VTL). A VtlMapping allows specifying the aliases to be used in the VTL Transformations, Rulesets{{footnote}}See also the section "VTL-DL Rulesets" in the VTL Reference Manual.{{/footnote}} or User Defined Operators{{footnote}}The VTLMappings are used also for User Defined Operators (UDO). Although UDOs are envisaged to be defined on generic operands, so that the specific artefacts to be manipulated are passed as parameters at their invocation, it is also possible that an UDO invokes directly some specific SDMX artefacts. These SDMX artefacts have to be mapped to the corresponding aliases used in the definition of the UDO through the VtlMappingScheme and VtlMapping classes as well.{{/footnote}} to reference SDMX artefacts. A VtlMappingScheme is a container for zero or more VtlMapping.
	34	+
31	31	The correspondence between an alias and a SDMX artefact must be one-to-one, meaning that a generic alias identifies one and just one SDMX artefact while a SDMX artefact is identified by one and just one alias. In other words, within a VtlMappingScheme an artefact can have just one alias and different artefacts cannot have the same alias.
32	32
33	33	The references through the URN and the abbreviated URN are described in the following paragraphs.
...	...	@@ -198,7 +198,7 @@
198	198
199	199	=== 12.3.3 Mapping from SDMX to VTL data structures ===
200	200
201		-==== 12.3.3.1 Basic Mapping ====
	205	+**12.3.3.1 Basic Mapping**
202	202
203	203	The main mapping method from SDMX to VTL is called **Basic **mapping. This is considered as the default mapping method and is applied unless a different method is specified through the VtlMappingScheme and VtlDataflowMapping classes. When transforming **from SDMX to VTL**, this method consists in leaving the components unchanged and maintaining their names and roles, according to the following table:
204	204
...	...	@@ -228,11 +228,18 @@
228	228	The SDMX structures that contain a MeasureDimension are mapped as described below (this mapping is equivalent to a pivoting operation):
229	229
230	230	* A SDMX simple dimension becomes a VTL (simple) identifier and a SDMX TimeDimension becomes a VTL (time) identifier;
231		-* Each possible Code Cj of the SDMX MeasureDimension is mapped to a VTL Measure, having the same name as the SDMX Code (i.e. Cj); the VTL Measure Cj is a new VTL component even if the SDMX data structure has not such a Component;
	235	+* Each possible Code Cj of the SDMX MeasureDimension is mapped to a VTL Measure, having the same name as the SDMX Code (i.e. Cj); the VTL Measure Cj is a new VTL component even if the SDMX data structure has not such a
	236	+
	237	+Component;
	238	+
232	232	* The SDMX MeasureDimension is not mapped to VTL (it disappears in the VTL Data Structure);
233	233	* The SDMX Measure is not mapped to VTL as well (it disappears in the VTL Data Structure);
234	234	* An SDMX DataAttribute is mapped in different ways according to its AttributeRelationship:
235		-** If, according to the SDMX AttributeRelationship, the values of the DataAttribute do not depend on the values of the MeasureDimension, the SDMX DataAttribute becomes a VTL Attribute having the same name. This happens if the AttributeRelationship is not specified (i.e. the DataAttribute does not depend on any DimensionComponent and therefore is at data set level), or if it refers to a set (or a group) of dimensions which does not include the MeasureDimension;
	242	+** If, according to the SDMX AttributeRelationship, the values of the DataAttribute do not depend on the values of the MeasureDimension, the SDMX DataAttribute becomes a VTL Attribute having the same name. This happens if the
	243	+
	244	+AttributeRelationship is not specified (i.e. the DataAttribute does not depend on any DimensionComponent and therefore is at data set level), or if it refers to a set (or a group) of dimensions which does not include the MeasureDimension;
	245	+
	246	+*
236	236	** Otherwise, if, according to the SDMX AttributeRelationship, the values of the DataAttribute depend on the MeasureDimension, the SDMX DataAttribute is mapped to one VTL Attribute for each possible Code of the SDMX MeasureDimension. By default, the names of the VTL Attributes are obtained by concatenating the name of the SDMX DataAttribute and the names of the correspondent Code of the MeasureDimension separated by underscore. For example, if the SDMX DataAttribute is named DA and the possible Codes of the SDMX MeasureDimension are named C1, C2, …, Cn, then the corresponding VTL Attributes will be named DA_C1, DA_C2, …, DA_Cn (if different names are desired, they can be achieved afterwards by renaming the Attributes through VTL operators).
237	237	** Like in the Basic mapping, the resulting VTL Attributes are considered as dependent on all the VTL identifiers (i.e. "at data point / observation level"), because VTL does not have the SDMX notion of Attribute Relationship.
238	238
...	...	@@ -431,7 +431,7 @@
431	431
432	432	… … …
433	433
434		-In fact the VTL operator “sub” has exactly the same behaviour. Therefore, mapping different parts of a SDMX Dataflow to different VTL Data Sets in the direction from SDMX to VTL through the ordered concatenation notation is equivalent to a proper use of the operator “**sub**” on such a Dataflow.{{footnote}}In case the ordered concatenation notation is used, the VTL Transformation described above, e.g. ‘DF1(1.0)/POPULATION.USA’ := DF1(1.0) [ sub INDICATOR=“POPULATION”, COUNTRY=“USA”], is implicitly executed. In order to test the overall compliance of the VTL program to the VTL consistency rules, it has to be considered as part of the VTL program even if it is not explicitly coded.{{/footnote}}
	445	+In fact the VTL operator “sub” has exactly the same behaviour. Therefore, mapping different parts of a SDMX Dataflow to different VTL Data Sets in the direction from SDMX to VTL through the ordered concatenation notation is equivalent to a proper use of the operator “**sub**” on such a Dataflow. ^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^32^^>>path:#sdfootnote32sym||name="sdfootnote32anc"]](%%)^^
435	435
436	436	In the direction from SDMX to VTL it is allowed to omit the value of one or more
437	437
...	...	@@ -459,12 +459,12 @@
459	459
460	460	Dataflow DF2(1.0.0) having the Dimensions TIME_PERIOD, INDICATOR, and COUNTRY and that such a programmer finds it convenient to calculate separately the parts of DF2(1.0.0) that have different combinations of values for INDICATOR and COUNTRY:
461	461
462		-* each part is calculated as a VTL derived Data Set, result of a dedicated VTL Transformation;{{footnote}}If the whole DF2(1.0) is calculated by means of just one VTL Transformation, then the mapping between the SDMX Dataflow and the corresponding VTL dataset is one-to-one and this kind of mapping (one SDMX Dataflow to many VTL datasets) does not apply.{{/footnote}}
463		-* the data structure of all these VTL Data Sets has the TIME_PERIOD identifier and does not have the INDICATOR and COUNTRY identifiers.{{footnote}}This is possible as each VTL dataset corresponds to one particular combination of values of INDICATOR and COUNTRY.{{/footnote}}
	473	+* each part is calculated as a VTL derived Data Set, result of a dedicated VTL Transformation; ^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^33^^>>path:#sdfootnote33sym||name="sdfootnote33anc"]](%%)^^
	474	+* the data structure of all these VTL Data Sets has the TIME_PERIOD identifier and does not have the INDICATOR and COUNTRY identifiers.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^34^^>>path:#sdfootnote34sym||name="sdfootnote34anc"]](%%)^^
464	464
465		-Under these hypothesis, such derived VTL Data Sets can be mapped to DF2(1.0.0) by declaring the DimensionComponents INDICATOR and COUNTRY as mapping dimensions{{footnote}}The mapping dimensions are defined as FromVtlSpaceKeys of the FromVtlSuperSpace of the VtlDataflowMapping relevant to DF2(1.0).{{/footnote}}.
	476	+Under these hypothesis, such derived VTL Data Sets can be mapped to DF2(1.0.0) by declaring the DimensionComponents INDICATOR and COUNTRY as mapping dimensions^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^35^^>>path:#sdfootnote35sym||name="sdfootnote35anc"]](%%)^^.
466	466
467		-The corresponding VTL Transformations, assuming that the result needs to be persistent, would be of this kind:{{footnote}}the symbol of the VTL persistent assignment is used (<-){{/footnote}}
	478	+The corresponding VTL Transformations, assuming that the result needs to be persistent, would be of this kind:^^ [[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^36^^>>path:#sdfootnote36sym||name="sdfootnote36anc"]](%%)^^
468	468
469	469	‘DF2(1.0.0)/INDICATORvalue.COUNTRYvalue’ <- expression
470	470
...	...	@@ -520,9 +520,9 @@
520	520
521	521	In other words, starting from the datasets explicitly calculated through VTL (in the example ‘DF2(1.0)/GDPPERCAPITA.USA’ and so on), the first step consists in calculating other (non-persistent) VTL datasets (in the example
522	522
523		-DF2bis_GDPPERCAPITA_USA and so on) by adding the identifiers INDICATOR and COUNTRY with the desired values (//INDICATORvalue// and //COUNTRYvalue)//. Finally, all these non-persistent Data Sets are united and give the final result DF2(1.0){{footnote}}The result is persistent in this example but it can be also non persistent if needed.{{/footnote}}, which can be mapped one-to-one to the homonymous SDMX Dataflow having the dimension components TIME_PERIOD, INDICATOR and COUNTRY.
	534	+DF2bis_GDPPERCAPITA_USA and so on) by adding the identifiers INDICATOR and COUNTRY with the desired values (//INDICATORvalue// and //COUNTRYvalue)//. Finally, all these non-persistent Data Sets are united and give the final result DF2(1.0)^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^37^^>>path:#sdfootnote37sym||name="sdfootnote37anc"]](%%)^^, which can be mapped one-to-one to the homonymous SDMX Dataflow having the dimension components TIME_PERIOD, INDICATOR and COUNTRY.
524	524
525		-Therefore, mapping different VTL datasets having the same data structure to different parts of a SDMX Dataflow, i.e. in the direction from VTL to SDMX, through the ordered concatenation notation is equivalent to a proper use of the operators “calc” and “union” on such datasets.{{footnote}}In case the ordered concatenation notation from VTL to SDMX is used, the set of Transformations described above is implicitly performed; therefore, in order to test the overall compliance of the VTL program to the VTL consistency rules, these implicit Transformations have to be considered as part of the VTL program even if they are not explicitly coded.{{/footnote}}
	536	+Therefore, mapping different VTL datasets having the same data structure to different parts of a SDMX Dataflow, i.e. in the direction from VTL to SDMX, through the ordered concatenation notation is equivalent to a proper use of the operators “calc” and “union” on such datasets. ^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^38^^>>path:#sdfootnote38sym||name="sdfootnote38anc"]](%%)[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^39^^>>path:#sdfootnote39sym||name="sdfootnote39anc"]](%%)^^
526	526
527	527	It is worth noting that in the direction from VTL to SDMX it is mandatory to specify the value for every Dimension on which the mapping is based (in other word, in the name of the calculated VTL dataset is __not__ possible to omit the value of some of the Dimensions).
528	528
...	...	@@ -530,51 +530,52 @@
530	530
531	531	With reference to the VTL “model for Variables and Value domains”, the following additional mappings have to be considered:
532	532
533		-(% style="width:1170.29px" %)
534		-|**VTL**|(% style="width:754px" %)**SDMX**
535		-|**Data Set Component**|(% style="width:754px" %)Although this abstraction exists in SDMX, it does not have an explicit definition and correspond to a Component (either a DimensionComponent or a Measure or a DataAttribute) belonging to one specific Dataflow{{footnote}}Through SDMX Constraints, it is possible to specify the values that a Component of a Dataflow can assume.{{/footnote}}
536		-|**Represented Variable**|(% style="width:754px" %)(((
	544	+|VTL|SDMX
	545	+|**Data Set Component**|Although this abstraction exists in SDMX, it does not have an explicit definition and correspond to a Component (either a DimensionComponent or a Measure or a DataAttribute) belonging to one specific Dataflow^^43^^
	546	+|**Represented Variable**|(((
537	537	**Concept** with a definite
538	538
539	539	Representation
540	540	)))
541		-|**Value Domain**|(% style="width:754px" %)(((
	551	+|**Value Domain**|(((
542	542	**Representation** (see the Structure
543	543
544	544	Pattern in the Base Package)
545	545	)))
546		-|**Enumerated Value Domain / Code List**|(% style="width:754px" %)**Codelist**
547		-|**Code**|(% style="width:754px" %)(((
	556	+|**Enumerated Value Domain / Code List**|**Codelist**
	557	+|**Code**|(((
548	548	**Code** (for enumerated
549	549
550	550	DimensionComponent, Measure, DataAttribute)
551	551	)))
552		-|**Described Value Domain**|(% style="width:754px" %)(((
553		-non-enumerated** Representation**
	562	+|**Described Value Domain**|(((
	563	+non-enumerated** &nbsp;&nbsp;&nbsp;Representation**
554	554
555	555	(having Facets / ExtendedFacets, see the Structure Pattern in the Base Package)
556	556	)))
557		-|**Value**|(% style="width:754px" %)Although this abstraction exists in SDMX, it does not have an explicit definition and correspond to a **Code** of a Codelist (for enumerated Representations) or
558		-| |(% style="width:754px" %)(((
559		-to a valid **value **(for non-enumerated** **Representations)
	567	+|**Value**|Although this abstraction exists in SDMX, it does not have an explicit definition and correspond to a **Code** of a Codelist (for enumerated Representations) or
	568	+| |(((
	569	+to a valid **value &nbsp;&nbsp;&nbsp;**(for non-enumerated** &nbsp;&nbsp;&nbsp;**
	570	+
	571	+Representations)
560	560	)))
561		-|**Value Domain Subset / Set**|(% style="width:754px" %)This abstraction does not exist in SDMX
562		-|**Enumerated Value Domain Subset / Enumerated Set**|(% style="width:754px" %)This abstraction does not exist in SDMX
563		-|**Described Value Domain Subset / Described Set**|(% style="width:754px" %)This abstraction does not exist in SDMX
564		-|**Set list**|(% style="width:754px" %)This abstraction does not exist in SDMX
	573	+|**Value Domain Subset / Set**|This abstraction does not exist in SDMX
	574	+|**Enumerated Value Domain Subset / Enumerated Set**|This abstraction does not exist in SDMX
	575	+|**Described Value Domain Subset / Described Set**|This abstraction does not exist in SDMX
	576	+|**Set list**|This abstraction does not exist in SDMX
565	565
566	566	The main difference between VTL and SDMX relies on the fact that the VTL artefacts for defining subsets of Value Domains do not exist in SDMX, therefore the VTL features for referring to predefined subsets are not available in SDMX. These artefacts are the Value Domain Subset (or Set), either enumerated or described, the Set List (list of values belonging to enumerated subsets) and the Data Set Component (aimed at defining the set of values that the Component of a Data Set can take, possibly a subset of the codes of Value Domain).
567	567
568		-Another difference consists in the fact that all Value Domains are considered as identifiable objects in VTL either if enumerated or not, while in SDMX the Codelist (corresponding to a VTL enumerated Value Domain) is identifiable, while the SDMX non-enumerated Representation (corresponding to a VTL non-enumerated Value Domain) is not identifiable. As a consequence, the definition of the VTL Rulesets, which in VTL can refer either to enumerated or non-enumerated value domains, in SDMX can refer only to enumerated Value Domains (i.e. to SDMX Codelists). As for the mapping between VTL variables and SDMX Concepts, it should be noted that these artefacts do not coincide perfectly. In fact, the VTL variables are represented variables, defined always on the same Value Domain (“Representation” in SDMX) independently of the data set / data structure in which they appear{{footnote}}By using represented variables, VTL can assume that data structures having the same variables as identifiers can be composed one another because the correspondent values can match.{{/footnote}}, while the SDMX Concepts can have different Representations in different DataStructures.{{footnote}}A Concept becomes a Component in a DataStructureDefinition, and Components can have different LocalRepresentations in different DataStructureDefinitions, also overriding the (possible) base representation of the Concept.{{/footnote}} This means that one SDMX Concept can correspond to many VTL Variables, one for each representation the Concept has.
	580	+Another difference consists in the fact that all Value Domains are considered as identifiable objects in VTL either if enumerated or not, while in SDMX the Codelist (corresponding to a VTL enumerated Value Domain) is identifiable, while the SDMX non-enumerated Representation (corresponding to a VTL non-enumerated Value Domain) is not identifiable. As a consequence, the definition of the VTL Rulesets, which in VTL can refer either to enumerated or non-enumerated value domains, in SDMX can refer only to enumerated Value Domains (i.e. to SDMX Codelists). As for the mapping between VTL variables and SDMX Concepts, it should be noted that these artefacts do not coincide perfectly. In fact, the VTL variables are represented variables, defined always on the same Value Domain (“Representation” in SDMX) independently of the data set / data structure in which they appear^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^40^^>>path:#sdfootnote40sym||name="sdfootnote40anc"]](%%)^^, while the SDMX Concepts can have different Representations in different DataStructures.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^41^^>>path:#sdfootnote41sym||name="sdfootnote41anc"]](%%)^^ This means that one SDMX Concept can correspond to many VTL Variables, one for each representation the Concept has.
569	569
570	570	Therefore, it is important to be aware that some VTL operations (for example the binary operations at data set level) are consistent only if the components having the same names in the operated VTL Data Sets have also the same representation (i.e. the same Value Domain as for VTL). For example, it is possible to obtain correct results from the VTL expression
571	571
572		-DS_c := DS_a + DS_b (where DS_a, DS_b, DS_c are VTL Data Sets)
	584	+DS_c := DS_a + DS_b (where DS_a, DS_b, DS_c are VTL Data Sets) if the matching components in DS_a and DS_b (e.g. ref_date, geo_area, sector …) refer to the same general representation. In simpler words, DS_a and DS_b must use the same values/codes (for ref_date, geo_area, sector … ), otherwise the relevant values would not match and the result of the operation would be wrong.
573	573
574		-if the matching components in DS_a and DS_b (e.g. ref_date, geo_area, sector …) refer to the same general representation. In simpler words, DS_a and DS_b must use the same values/codes (for ref_date, geo_area, sector … ), otherwise the relevant values would not match and the result of the operation would be wrong.
575		-
576	576	As mentioned, the property above is not enforced by construction in SDMX, and different representations of the same Concept can be not compatible one another (for example, it may happen that geo_area is represented by ISO-alpha-3 codes in DS_a and by ISO alpha-2 codes in DS_b). Therefore, it will be up to the definer of VTL
577	577
	588	+[[image:SDMX 3-0-0 SECTION 6 FINAL-1.0_en_59eee18f.gif||alt="Shape5" height="1" width="192"]]
	589	+
578	578	Transformations to ensure that the VTL expressions are consistent with the actual representations of the correspondent SDMX Concepts.
579	579
580	580	It remains up to the SDMX-VTL definer also the assurance of the consistency between a VTL Ruleset defined on Variables and the SDMX Components on which the Ruleset is applied. In fact, a VTL Ruleset is expressed by means of the values of the Variables (i.e. SDMX Concepts), i.e. assuming definite representations for them (e.g. ISOalpha-3 for country). If the Ruleset is applied to SDMX Components that have the same name of the Concept they refer to but different representations (e.g. ISO-alpha-2 for country), the Ruleset cannot work properly.
...	...	@@ -589,8 +589,7 @@
589	589
590	590	[[image:SDMX 3-0-0 SECTION 6 FINAL-1.0_en_e3df33ae.png||height="543" width="483"]]
591	591
592		-(% class="wikigeneratedid" id="HFigure222013VTLDataTypes" %)
593		-**Figure 22 – VTL Data Types**
	604	+==== Figure 22 – VTL Data Types ====
594	594
595	595	The VTL scalar types are in turn subdivided in basic scalar types, which are elementary (not defined in term of other data types) and Value Domain and Set scalar types, which are defined in terms of the basic scalar types.
596	596
...	...	@@ -597,12 +597,131 @@
597	597	The VTL basic scalar types are listed below and follow a hierarchical structure in terms of supersets/subsets (e.g. "scalar" is the superset of all the basic scalar types):
598	598
599	599
600		-**Figure 23 – VTL Basic Scalar Types**
601	601
602	602	(((
603		-
	613	+//n//
	614	+
	615	+//a//
	616	+
	617	+//e//
	618	+
	619	+//l//
	620	+
	621	+//o//
	622	+
	623	+//o//
	624	+
	625	+//B//
	626	+
	627	+//n//
	628	+
	629	+//o//
	630	+
	631	+//i//
	632	+
	633	+//t//
	634	+
	635	+//a//
	636	+
	637	+//r//
	638	+
	639	+//u//
	640	+
	641	+//D//
	642	+
	643	+//d//
	644	+
	645	+//o//
	646	+
	647	+//i//
	648	+
	649	+//r//
	650	+
	651	+//e//
	652	+
	653	+//p//
	654	+
	655	+//_//
	656	+
	657	+//e//
	658	+
	659	+//m//
	660	+
	661	+//i//
	662	+
	663	+//T//
	664	+
	665	+//e//
	666	+
	667	+//t//
	668	+
	669	+//a//
	670	+
	671	+//D//
	672	+
	673	+//e//
	674	+
	675	+//m//
	676	+
	677	+//i//
	678	+
	679	+//T//
	680	+
	681	+//r//
	682	+
	683	+//e//
	684	+
	685	+//g//
	686	+
	687	+//e//
	688	+
	689	+//t//
	690	+
	691	+//n//
	692	+
	693	+//I//
	694	+
	695	+//r//
	696	+
	697	+//e//
	698	+
	699	+//b//
	700	+
	701	+//m//
	702	+
	703	+//u//
	704	+
	705	+//N//
	706	+
	707	+//g//
	708	+
	709	+//n//
	710	+
	711	+//i//
	712	+
	713	+//r//
	714	+
	715	+//t//
	716	+
	717	+//S//
	718	+
	719	+//r//
	720	+
	721	+//a//
	722	+
	723	+//l//
	724	+
	725	+//a//
	726	+
	727	+//c//
	728	+
	729	+//S//
	730	+
	731	+[[image:SDMX 3-0-0 SECTION 6 FINAL-1.0_en_82d45833.gif||alt="Shape6" height="231" width="184"]]
604	604	)))
605	605
	734	+==== Figure 23 – VTL Basic Scalar Types ====
	735	+
606	606	=== 12.4.2 VTL basic scalar types and SDMX data types ===
607	607
608	608	The VTL assumes that a basic scalar type has a unique internal representation and can have more external representations.
...	...	@@ -625,159 +625,204 @@
625	625
626	626	The following table describes the default mapping for converting from the SDMX data types to the VTL basic scalar types.
627	627
628		-(% style="width:823.294px" %)
629		-|(% style="width:509px" %)**SDMX data type (BasicComponentDataType)**|(% style="width:312px" %)**Default VTL basic scalar type**
630		-|(% style="width:509px" %)(((
	758	+|SDMX data type (BasicComponentDataType)|Default VTL basic scalar type
	759	+|(((
631	631	String
	761	+
632	632	(string allowing any character)
633		-)))|(% style="width:312px" %)string
634		-|(% style="width:509px" %)(((
	763	+)))|string
	764	+|(((
635	635	Alpha
	766	+
636	636	(string which only allows A-z)
637		-)))|(% style="width:312px" %)string
638		-|(% style="width:509px" %)(((
	768	+)))|string
	769	+|(((
639	639	AlphaNumeric
	771	+
640	640	(string which only allows A-z and 0-9)
641		-)))|(% style="width:312px" %)string
642		-|(% style="width:509px" %)(((
	773	+)))|string
	774	+|(((
643	643	Numeric
	776	+
644	644	(string which only allows 0-9, but is not numeric so that is can having leading zeros)
645		-)))|(% style="width:312px" %)string
646		-|(% style="width:509px" %)(((
	778	+)))|string
	779	+|(((
647	647	BigInteger
	781	+
648	648	(corresponds to XML Schema xs:integer datatype; infinite set of integer values)
649		-)))|(% style="width:312px" %)integer
650		-|(% style="width:509px" %)(((
	783	+)))|integer
	784	+|(((
651	651	Integer
652		-(corresponds to XML Schema xs:int datatype; between -2147483648 and +2147483647 (inclusive))
653		-)))|(% style="width:312px" %)integer
654		-|(% style="width:509px" %)(((
	786	+
	787	+(corresponds to XML Schema xs:int datatype; between -2147483648 and +2147483647
	788	+
	789	+(inclusive))
	790	+)))|integer
	791	+|(((
655	655	Long
656		-(corresponds to XML Schema xs:long datatype; between -9223372036854775808 and +9223372036854775807 (inclusive))
657		-)))|(% style="width:312px" %)integer
658		-|(% style="width:509px" %)(((
	793	+
	794	+(corresponds to XML Schema xs:long datatype; between -9223372036854775808 and
	795	+
	796	++9223372036854775807 (inclusive))
	797	+)))|integer
	798	+|(((
659	659	Short
	800	+
660	660	(corresponds to XML Schema xs:short datatype; between -32768 and -32767 (inclusive))
661		-)))|(% style="width:312px" %)integer
662		-|(% style="width:509px" %)Decimal (corresponds to XML Schema xs:decimal datatype; subset of real numbers that can be represented as decimals)|(% style="width:312px" %)number
663		-|(% style="width:509px" %)(((
	802	+)))|integer
	803	+|Decimal (corresponds to XML Schema xs:decimal datatype; subset of real numbers that can be represented as decimals)|number
	804	+|(((
664	664	Float
	806	+
665	665	(corresponds to XML Schema xs:float datatype; patterned after the IEEE single-precision 32-bit floating point type)
666		-)))|(% style="width:312px" %)number
667		-|(% style="width:509px" %)(((
	808	+)))|number
	809	+|(((
668	668	Double
	811	+
669	669	(corresponds to XML Schema xs:double datatype; patterned after the IEEE double-precision 64-bit floating point type)
670		-)))|(% style="width:312px" %)number
671		-|(% style="width:509px" %)(((
	813	+)))|number
	814	+|(((
672	672	Boolean
673		-(corresponds to the XML Schema xs:boolean datatype; support the mathematical concept of binary-valued logic: {true, false})
674		-)))|(% style="width:312px" %)boolean
675	675
676		-(% style="width:822.294px" %)
677		-|(% colspan="2" style="width:507px" %)(((
	817	+(corresponds to the XML Schema xs:boolean datatype; support the mathematical concept of
	818	+
	819	+binary-valued logic: {true, false})
	820	+)))|boolean
	821	+
	822	+| |(% colspan="2" %)(((
678	678	URI
	824	+
679	679	(corresponds to the XML Schema xs:anyURI; absolute or relative Uniform Resource Identifier Reference)
680		-)))|(% colspan="1" style="width:311px" %)string
681		-|(% colspan="2" style="width:507px" %)(((
	826	+)))|(% colspan="2" %)string
	827	+| |(% colspan="2" %)(((
682	682	Count
	829	+
683	683	(an integer following a sequential pattern, increasing by 1 for each occurrence)
684		-)))|(% colspan="1" style="width:311px" %)integer
685		-|(% colspan="2" style="width:507px" %)(((
	831	+)))|(% colspan="2" %)integer
	832	+| |(% colspan="2" %)(((
686	686	InclusiveValueRange
	834	+
687	687	(decimal number within a closed interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
688		-)))|(% colspan="1" style="width:311px" %)number
689		-|(% colspan="2" style="width:507px" %)(((
	836	+)))|(% colspan="2" %)number
	837	+| |(% colspan="2" %)(((
690	690	ExclusiveValueRange
	839	+
691	691	(decimal number within an open interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
692		-)))|(% colspan="1" style="width:311px" %)number
693		-|(% colspan="2" style="width:507px" %)(((
	841	+)))|(% colspan="2" %)number
	842	+| |(% colspan="2" %)(((
694	694	Incremental
	844	+
695	695	(decimal number the increased by a specific interval (defined by the interval facet), which is typically enforced outside of the XML validation)
696		-)))|(% colspan="1" style="width:311px" %)number
697		-|(% colspan="2" style="width:507px" %)(((
	846	+)))|(% colspan="2" %)number
	847	+| |(% colspan="2" %)(((
698	698	ObservationalTimePeriod
	849	+
699	699	(superset of StandardTimePeriod and TimeRange)
700		-)))|(% colspan="1" style="width:311px" %)time
701		-|(% colspan="2" style="width:507px" %)(((
	851	+)))|(% colspan="2" %)time
	852	+| |(% colspan="2" %)(((
702	702	StandardTimePeriod
703		-(superset of BasicTimePeriod and ReportingTimePeriod)
704		-)))|(% colspan="1" style="width:311px" %)time
705		-|(% colspan="2" style="width:507px" %)(((
	854	+
	855	+(superset of BasicTimePeriod and
	856	+
	857	+ReportingTimePeriod)
	858	+)))|(% colspan="2" %)time
	859	+| |(% colspan="2" %)(((
706	706	BasicTimePeriod
	861	+
707	707	(superset of GregorianTimePeriod and DateTime)
708		-)))|(% colspan="1" style="width:311px" %)date
709		-|(% colspan="2" style="width:507px" %)(((
	863	+)))|(% colspan="2" %)date
	864	+| |(% colspan="2" %)(((
710	710	GregorianTimePeriod
	866	+
711	711	(superset of GregorianYear, GregorianYearMonth, and GregorianDay)
712		-)))|(% colspan="1" style="width:311px" %)date
713		-|(% colspan="2" style="width:507px" %)GregorianYear (YYYY)|(% colspan="1" style="width:311px" %)date
714		-|(% colspan="2" style="width:507px" %)GregorianYearMonth / GregorianMonth (YYYY-MM)|(% colspan="1" style="width:311px" %)date
715		-|(% colspan="2" style="width:507px" %)GregorianDay (YYYY-MM-DD)|(% colspan="1" style="width:311px" %)date
716		-|(% colspan="2" style="width:507px" %)(((
	868	+)))|(% colspan="2" %)date
	869	+| |(% colspan="2" %)GregorianYear (YYYY)|(% colspan="2" %)date
	870	+| |(% colspan="2" %)GregorianYearMonth / GregorianMonth (YYYY-MM)|(% colspan="2" %)date
	871	+| |(% colspan="2" %)GregorianDay (YYYY-MM-DD)|(% colspan="2" %)date
	872	+| |(% colspan="2" %)(((
717	717	ReportingTimePeriod
718		-(superset of RepostingYear, ReportingSemester, ReportingTrimester, ReportingQuarter, ReportingMonth, ReportingWeek, ReportingDay)
719		-)))|(% colspan="1" style="width:311px" %)time_period
720		-|(% colspan="2" style="width:507px" %)(((
	874	+
	875	+(superset of RepostingYear, ReportingSemester,
	876	+
	877	+ReportingTrimester, ReportingQuarter,
	878	+
	879	+ReportingMonth, ReportingWeek, ReportingDay)
	880	+)))|(% colspan="2" %)time_period
	881	+| |(% colspan="2" %)(((
721	721	ReportingYear
	883	+
722	722	(YYYY-A1 – 1 year period)
723		-)))|(% colspan="1" style="width:311px" %)time_period
724		-|(% colspan="2" style="width:507px" %)(((
	885	+)))|(% colspan="2" %)time_period
	886	+| |(% colspan="2" %)(((
725	725	ReportingSemester
	888	+
726	726	(YYYY-Ss – 6 month period)
727		-)))|(% colspan="1" style="width:311px" %)time_period
728		-|(% colspan="2" style="width:507px" %)(((
	890	+)))|(% colspan="2" %)time_period
	891	+| |(% colspan="2" %)(((
729	729	ReportingTrimester
	893	+
730	730	(YYYY-Tt – 4 month period)
731		-)))|(% colspan="1" style="width:311px" %)time_period
732		-|(% colspan="2" style="width:507px" %)(((
	895	+)))|(% colspan="2" %)time_period
	896	+| |(% colspan="2" %)(((
733	733	ReportingQuarter
	898	+
734	734	(YYYY-Qq – 3 month period)
735		-)))|(% colspan="1" style="width:311px" %)time_period
736		-|(% colspan="2" style="width:507px" %)(((
	900	+)))|(% colspan="2" %)time_period
	901	+| |(% colspan="2" %)(((
737	737	ReportingMonth
	903	+
738	738	(YYYY-Mmm – 1 month period)
739		-)))|(% colspan="1" style="width:311px" %)time_period
740		-|(% colspan="2" style="width:507px" %)ReportingWeek|(% colspan="1" style="width:311px" %)time_period
741		-|(% colspan="1" style="width:507px" %)(YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|(% colspan="2" style="width:312px" %)
742		-|(% colspan="1" style="width:507px" %)(((
	905	+)))|(% colspan="2" %)time_period
	906	+| |(% colspan="2" %)ReportingWeek|(% colspan="2" %)time_period
	907	+| |(% colspan="2" %) |(% colspan="2" %)
	908	+| |(% colspan="2" %) |(% colspan="2" %)
	909	+|(% colspan="2" %)(YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|(% colspan="2" %) |
	910	+|(% colspan="2" %)(((
743	743	ReportingDay
	912	+
744	744	(YYYY-Dddd – 1 day period)
745		-)))|(% colspan="2" style="width:312px" %)time_period
746		-|(% colspan="1" style="width:507px" %)(((
	914	+)))|(% colspan="2" %)time_period|
	915	+|(% colspan="2" %)(((
747	747	DateTime
	917	+
748	748	(YYYY-MM-DDThh:mm:ss)
749		-)))|(% colspan="2" style="width:312px" %)date
750		-|(% colspan="1" style="width:507px" %)(((
	919	+)))|(% colspan="2" %)date|
	920	+|(% colspan="2" %)(((
751	751	TimeRange
	922	+
752	752	(YYYY-MM-DD(Thh:mm:ss)?/<duration>)
753		-)))|(% colspan="2" style="width:312px" %)time
754		-|(% colspan="1" style="width:507px" %)(((
	924	+)))|(% colspan="2" %)time|
	925	+|(% colspan="2" %)(((
755	755	Month
	927	+
756	756	(~-~-MM; speicifies a month independent of a year; e.g. February is black history month in the United States)
757		-)))|(% colspan="2" style="width:312px" %)string
758		-|(% colspan="1" style="width:507px" %)(((
	929	+)))|(% colspan="2" %)string|
	930	+|(% colspan="2" %)(((
759	759	MonthDay
	932	+
760	760	(~-~-MM-DD; specifies a day within a month independent of a year; e.g. Christmas is December 25^^th^^; used to specify reporting year start day)
761		-)))|(% colspan="2" style="width:312px" %)string
762		-|(% colspan="1" style="width:507px" %)(((
	934	+)))|(% colspan="2" %)string|
	935	+|(% colspan="2" %)(((
763	763	Day
	937	+
764	764	(~-~--DD; specifies a day independent of a month or year; e.g. the 15^^th^^ is payday)
765		-)))|(% colspan="2" style="width:312px" %)string
766		-|(% colspan="1" style="width:507px" %)(((
	939	+)))|(% colspan="2" %)string|
	940	+|(% colspan="2" %)(((
767	767	Time
	942	+
768	768	(hh:mm:ss; time independent of a date; e.g. coffee break is at 10:00 AM)
769		-)))|(% colspan="2" style="width:312px" %)string
770		-|(% colspan="1" style="width:507px" %)(((
	944	+)))|(% colspan="2" %)string|
	945	+|(% colspan="2" %)(((
771	771	Duration
	947	+
772	772	(corresponds to XML Schema xs:duration datatype)
773		-)))|(% colspan="2" style="width:312px" %)duration
774		-|(% colspan="1" style="width:507px" %)XHTML|(% colspan="2" style="width:312px" %)Metadata type – not applicable
775		-|(% colspan="1" style="width:507px" %)KeyValues|(% colspan="2" style="width:312px" %)Metadata type – not applicable
776		-|(% colspan="1" style="width:507px" %)IdentifiableReference|(% colspan="2" style="width:312px" %)Metadata type – not applicable
777		-|(% colspan="1" style="width:507px" %)DataSetReference|(% colspan="2" style="width:312px" %)Metadata type – not applicable
	949	+)))|(% colspan="2" %)duration|
	950	+|(% colspan="2" %)XHTML|(% colspan="2" %)Metadata type – not applicable|
	951	+|(% colspan="2" %)KeyValues|(% colspan="2" %)Metadata type – not applicable|
	952	+|(% colspan="2" %)IdentifiableReference|(% colspan="2" %)Metadata type – not applicable|
	953	+|(% colspan="2" %)DataSetReference|(% colspan="2" %)Metadata type – not applicable|
778	778
779		-(% class="wikigeneratedid" id="HFigure142013MappingsfromSDMXdatatypestoVTLBasicScalarTypes" %)
780		-**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types**
	955	+==== Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types ====
781	781
782	782	When VTL takes in input SDMX artefacts, it is assumed that a type conversion according to the table above always happens. In case a different VTL basic scalar type is desired, it can be achieved in the VTL program taking in input the default VTL basic scalar type above and applying to it the VTL type conversion features (see the implicit and explicit type conversion and the "cast" operator in the VTL Reference Manual).
783	783
...	...	@@ -785,32 +785,39 @@
785	785
786	786	The following table describes the default conversion from the VTL basic scalar types to the SDMX data types .
787	787
788		-(% style="width:1073.29px" %)
789		-|(% style="width:207px" %)(((
790		-**VTL basic scalar type**
791		-)))|(% style="width:462px" %)(((
792		-**Default SDMX data type (BasicComponentDataType)**
793		-)))|(% style="width:402px" %)**Default output format**
794		-|(% style="width:207px" %)String|(% style="width:462px" %)String|(% style="width:402px" %)Like XML (xs:string)
795		-|(% style="width:207px" %)Number|(% style="width:462px" %)Float|(% style="width:402px" %)Like XML (xs:float)
796		-|(% style="width:207px" %)Integer|(% style="width:462px" %)Integer|(% style="width:402px" %)Like XML (xs:int)
797		-|(% style="width:207px" %)Date|(% style="width:462px" %)DateTime|(% style="width:402px" %)YYYY-MM-DDT00:00:00Z
798		-|(% style="width:207px" %)Time|(% style="width:462px" %)StandardTimePeriod|(% style="width:402px" %)<date>/<date> (as defined above)
799		-|(% style="width:207px" %)time_period|(% style="width:462px" %)(((
	963	+|(((
	964	+VTL basic
	965	+
	966	+scalar type
	967	+)))|(((
	968	+Default SDMX data type
	969	+
	970	+(BasicComponentDataType
	971	+
	972	+)
	973	+)))|Default output format
	974	+|String|String|Like XML (xs:string)
	975	+|Number|Float|Like XML (xs:float)
	976	+|Integer|Integer|Like XML (xs:int)
	977	+|Date|DateTime|YYYY-MM-DDT00:00:00Z
	978	+|Time|StandardTimePeriod|<date>/<date> (as defined above)
	979	+|time_period|(((
800	800	ReportingTimePeriod
	981	+
801	801	(StandardReportingPeriod)
802		-)))|(% style="width:402px" %)(((
	983	+)))|(((
803	803	YYYY-Pppp
	985	+
804	804	(according to SDMX )
805	805	)))
806		-|(% style="width:207px" %)Duration|(% style="width:462px" %)Duration|(% style="width:402px" %)(((
	988	+|Duration|Duration|(((
807	807	Like XML (xs:duration)
	990	+
808	808	PnYnMnDTnHnMnS
809	809	)))
810		-|(% style="width:207px" %)Boolean|(% style="width:462px" %)Boolean|(% style="width:402px" %)Like XML (xs:boolean) with the values "true" or "false"
	993	+|Boolean|Boolean|Like XML (xs:boolean) with the values "true" or "false"
811	811
812		-(% class="wikigeneratedid" id="HFigure142013MappingsfromSDMXdatatypestoVTLBasicScalarTypes-1" %)
813		-**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types**
	995	+==== Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types ====
814	814
815	815	In case a different default conversion is desired, it can be achieved through the CustomTypeScheme and CustomType artefacts (see also the section Transformations and Expressions of the SDMX information model).
816	816
...	...	@@ -864,7 +864,7 @@
864	864	|N|fixed number of digits used in the preceding textual representation of the month or the day
865	865	| |
866	866
867		-The default conversion, either standard or customized, can be used to deduce automatically the representation of the components of the result of a VTL Transformation. In alternative, the representation of the resulting SDMX Dataflow can be given explicitly by providing its DataStructureDefinition. In other words, the representation specified in the DSD, if available, overrides any default conversion{{footnote}}The representation given in the DSD should obviously be compatible with the VTL data type.{{/footnote}}.
	1049	+The default conversion, either standard or customized, can be used to deduce automatically the representation of the components of the result of a VTL Transformation. In alternative, the representation of the resulting SDMX Dataflow can be given explicitly by providing its DataStructureDefinition. In other words, the representation specified in the DSD, if available, overrides any default conversion^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^42^^>>path:#sdfootnote42sym||name="sdfootnote42anc"]](%%)^^.
868	868
869	869	=== 12.4.5 Null Values ===
870	870
...	...	@@ -882,8 +882,10 @@
882	882
883	883	A different format can be specified in the attribute "vtlLiteralFormat" of the CustomType artefact (see also the section Transformations and Expressions of the SDMX information model).
884	884
885		-Like in the case of the conversion of NULLs described in the previous paragraph, the overriding assumption is applied, for a certain VTL basic scalar type, if a value is found for the vtlLiteralFormat attribute of the CustomType of such VTL basic scalar type. The overriding assumption is applied for all the literals of a related VTL TransformationScheme.
	1067	+Like in the case of the conversion of NULLs described in the previous paragraph, the overriding assumption is applied, for a certain VTL basic scalar type, if a value is found for the vtlLiteralFormat attribute of the CustomType of such VTL basic scalar type. The overriding assumption is applied for all the literals of a related VTL
886	886
	1069	+TransformationScheme.
	1070	+
887	887	In case a literal is operand of a VTL Cast operation, the format specified in the Cast overrides all the possible otherwise specified formats.
888	888
889	889	{{putFootnotes/}}