Changes for page 12 Validation and Transformation Language (VTL)

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...	...	@@ -18,7 +18,7 @@
18	18
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		-== 12.2 References to SDMX artefacts from VTL statements ==
	21	+== 12.2 References to SDMX artefacts from VTL statements ==
22	22
23	23	=== 12.2.1 Introduction ===
24	24
...	...	@@ -116,7 +116,7 @@
116	116
117	117	by omitting all the non-essential parts would become simply:
118	118
119		-> DFR  : =  DF1 + DF2
	119	+> DFR : = DF1 + DF2
120	120
121	121	The references to the Codelists can be simplified similarly. For example, given the non-abbreviated reference to the Codelist AG:CL_FREQ(1.0.0), which is{{footnote}}Single quotes are needed because this reference is not a VTL regular name. 19 Single quotes are not needed in this case because CL_FREQ is a VTL regular name.{{/footnote}}:
122	122
...	...	@@ -280,11 +280,12 @@
280	280
281	281	Mapping table:
282	282
283		-|**VTL**|**SDMX**
284		-|(Simple) Identifier|Dimension
285		-|(Time) Identifier|TimeDimension
286		-|Measure|Measure
287		-|Attribute|DataAttribute
	283	+(% style="width:470.294px" %)
	284	+|(% style="width:262px" %)**VTL**|(% style="width:205px" %)**SDMX**
	285	+|(% style="width:262px" %)(Simple) Identifier|(% style="width:205px" %)Dimension
	286	+|(% style="width:262px" %)(Time) Identifier|(% style="width:205px" %)TimeDimension
	287	+|(% style="width:262px" %)Measure|(% style="width:205px" %)Measure
	288	+|(% style="width:262px" %)Attribute|(% style="width:205px" %)DataAttribute
288	288
289	289	If the distinction between simple identifier and time identifier is not maintained in the VTL environment, the classification between Dimension and TimeDimension exists only in SDMX, as declared in the relevant DataStructureDefinition.
290	290
...	...	@@ -312,11 +312,12 @@
312	312
313	313	The summary mapping table of the **unpivot** mapping method is the following:
314	314
315		-|**VTL**|**SDMX**
316		-|(Simple) Identifier|Dimension
317		-|(Time) Identifier|TimeDimension
318		-|All Measure Components|MeasureDimension (having one Code for each VTL measure component) & one Measure
319		-|Attribute|DataAttribute depending on all SDMX Dimensions including the TimeDimension and except the MeasureDimension
	316	+(% style="width:638.294px" %)
	317	+|(% style="width:200px" %)**VTL**|(% style="width:435px" %)**SDMX**
	318	+|(% style="width:200px" %)(Simple) Identifier|(% style="width:435px" %)Dimension
	319	+|(% style="width:200px" %)(Time) Identifier|(% style="width:435px" %)TimeDimension
	320	+|(% style="width:200px" %)All Measure Components|(% style="width:435px" %)MeasureDimension (having one Code for each VTL measure component) & one Measure
	321	+|(% style="width:200px" %)Attribute|(% style="width:435px" %)DataAttribute depending on all SDMX Dimensions including the TimeDimension and except the MeasureDimension
320	320
321	321	At observation / data point level:
322	322
...	...	@@ -338,12 +338,13 @@
338	338
339	339	The mapping table is the following:
340	340
341		-|VTL|SDMX
342		-|(Simple) Identifier|Dimension
343		-|(Time) Identifier|TimeDimension
344		-|Some Measures|Measure
345		-|Other Measures|DataAttribute
346		-|Attribute|DataAttribute
	343	+(% style="width:467.294px" %)
	344	+|(% style="width:214px" %)VTL|(% style="width:250px" %)SDMX
	345	+|(% style="width:214px" %)(Simple) Identifier|(% style="width:250px" %)Dimension
	346	+|(% style="width:214px" %)(Time) Identifier|(% style="width:250px" %)TimeDimension
	347	+|(% style="width:214px" %)Some Measures|(% style="width:250px" %)Measure
	348	+|(% style="width:214px" %)Other Measures|(% style="width:250px" %)DataAttribute
	349	+|(% style="width:214px" %)Attribute|(% style="width:250px" %)DataAttribute
347	347
348	348	Even in this case, the resulting SDMX definitions must be compliant with the SDMX consistency rules. For example, the SDMX DSD must have the attributeRelationship for the DataAttributes, which does not exist in VTL.
349	349
...	...	@@ -381,11 +381,11 @@
381	381
382	382	Therefore, the generic name of this kind of VTL datasets would be:
383	383
384		-'DF(1.0.0)/INDICATORvalue.COUNTRYvalue'
	387	+> 'DF(1.0.0)/INDICATORvalue.COUNTRYvalue'
385	385
386	386	Where DF(1.0.0) is the Dataflow and //INDICATORvalue// and //COUNTRYvalue //are placeholders for one value of the INDICATOR and COUNTRY dimensions. Instead the specific name of one of these VTL datasets would be:
387	387
388		-‘DF(1.0.0)/POPULATION.USA’
	391	+> ‘DF(1.0.0)/POPULATION.USA’
389	389
390	390	In particular, this is the VTL dataset that contains all the observations of the Dataflow DF(1.0.0) for which //INDICATOR// = POPULATION and //COUNTRY// = USA.
391	391
...	...	@@ -399,26 +399,22 @@
399	399
400	400	SDMX Dataflow having INDICATOR=//INDICATORvalue //and COUNTRY=// COUNTRYvalue//. For example, the VTL dataset ‘DF1(1.0.0)/POPULATION.USA’ would contain all the observations of DF1(1.0.0) having INDICATOR = POPULATION and COUNTRY = USA.
401	401
402		-In order to obtain the data structure of these VTL Data Sets from the SDMX one, it is assumed that the SDMX DimensionComponents on which the mapping is based are dropped, i.e. not maintained in the VTL data structure; this is possible because their values are fixed for each one of the invoked VTL Data Sets{{footnote}}If these DimensionComponents would not be dropped, the various VTL Data Sets resulting from this kind of mapping would have non-matching values for the Identifiers corresponding to the mapping Dimensions (e.g. POPULATION and COUNTRY). As a consequence, taking into account that the typical binary VTL operations at dataset level (+, -, *, / and so on) are executed on the observations having matching values for the identifiers, it would not be possible to compose the resulting VTL datasets one another (e.g. it would not be possible to calculate the population ratio between USA and CANADA).{{/footnote}}. After that, the mapping method from SDMX to VTL specified for the Dataflow DF1(1.0.0) is applied (i.e.
	405	+In order to obtain the data structure of these VTL Data Sets from the SDMX one, it is assumed that the SDMX DimensionComponents on which the mapping is based are dropped, i.e. not maintained in the VTL data structure; this is possible because their values are fixed for each one of the invoked VTL Data Sets{{footnote}}If these DimensionComponents would not be dropped, the various VTL Data Sets resulting from this kind of mapping would have non-matching values for the Identifiers corresponding to the mapping Dimensions (e.g. POPULATION and COUNTRY). As a consequence, taking into account that the typical binary VTL operations at dataset level (+, -, *, / and so on) are executed on the observations having matching values for the identifiers, it would not be possible to compose the resulting VTL datasets one another (e.g. it would not be possible to calculate the population ratio between USA and CANADA).{{/footnote}}. After that, the mapping method from SDMX to VTL specified for the Dataflow DF1(1.0.0) is applied (i.e. basic, pivot …).
403	403
404		-basic, pivot …).
405		-
406	406	In the example above, for all the datasets of the kind
407	407
408		-‘DF1(1.0.0)///INDICATORvalue//.//COUNTRYvalue//’, the dimensions INDICATOR and COUNTRY would be dropped so that the data structure of all the resulting VTL Data Sets would have the identifier TIME_PERIOD only.
	409	+> ‘DF1(1.0.0)///INDICATORvalue//.//COUNTRYvalue//’, the dimensions INDICATOR and COUNTRY would be dropped so that the data structure of all the resulting VTL Data Sets would have the identifier TIME_PERIOD only.
409	409
410	410	It should be noted that the desired VTL Data Sets (i.e. of the kind ‘DF1(1.0.0)/// INDICATORvalue//.//COUNTRYvalue//’) can be obtained also by applying the VTL operator “**sub**” (subspace) to the Dataflow DF1(1.0.0), like in the following VTL expression:
411	411
412		-‘DF1(1.0.0)/POPULATION.USA’ :=
	413	+> ‘DF1(1.0.0)/POPULATION.USA’ :=
	414	+> DF1(1.0.0) [ sub INDICATOR=“POPULATION”, COUNTRY=“USA” ];
	415	+>
	416	+> ‘DF1(1.0.0)/POPULATION.CANADA’ :=
	417	+> DF1(1.0.0) [ sub INDICATOR=“POPULATION”, COUNTRY=“CANADA” ];
	418	+>
	419	+> … … …
413	413
414		-DF1(1.0.0) [ sub INDICATOR=“POPULATION”, COUNTRY=“USA” ];
415		-
416		-‘DF1(1.0.0)/POPULATION.CANADA’ :=
417		-
418		-DF1(1.0.0) [ sub INDICATOR=“POPULATION”, COUNTRY=“CANADA” ];
419		-
420		-… … …
421		-
422	422	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}}
423	423
424	424	In the direction from SDMX to VTL it is allowed to omit the value of one or more DimensionComponents on which the mapping is based, but maintaining all the separating dots (therefore it may happen to find two or more consecutive dots and dots in the beginning or in the end). The absence of value means that for the corresponding Dimension all the values are kept and the Dimension is not dropped.
...	...	@@ -427,10 +427,9 @@
427	427
428	428	This is equivalent to the application of the VTL “sub” operator only to the identifier //INDICATOR//:
429	429
430		-‘DF1(1.0.0)/POPULATION.’ :=
	429	+> ‘DF1(1.0.0)/POPULATION.’ :=
	430	+> DF1(1.0.0) [ sub INDICATOR=“POPULATION” ];
431	431
432		-DF1(1.0.0) [ sub INDICATOR=“POPULATION” ];
433		-
434	434	Therefore the VTL Data Set ‘DF1(1.0.0)/POPULATION.’ would have the identifiers COUNTRY and TIME_PERIOD.
435	435
436	436	Heterogeneous invocations of the same Dataflow are allowed, i.e. omitting different Dimensions in different invocations.
...	...	@@ -448,41 +448,33 @@
448	448
449	449	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}}
450	450
451		-‘DF2(1.0.0)/INDICATORvalue.COUNTRYvalue’ <- expression
	449	+> ‘DF2(1.0.0)/INDICATORvalue.COUNTRYvalue’ <- expression
452	452
453	453	Some examples follow, for some specific values of INDICATOR and COUNTRY:
454	454
455		-‘DF2(1.0.0)/GDPPERCAPITA.USA’ <- expression11; ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ <- expression12;
456		-… … …
	453	+> ‘DF2(1.0.0)/GDPPERCAPITA.USA’ <- expression11; ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ <- expression12;
	454	+> … … …
	455	+> ‘DF2(1.0.0)/POPGROWTH.USA’ <- expression21;
	456	+> ‘DF2(1.0.0)/POPGROWTH.CANADA’ <- expression22;
	457	+> … … …
457	457
458		-‘DF2(1.0.0)/POPGROWTH.USA’ <- expression21;
459		-‘DF2(1.0.0)/POPGROWTH.CANADA’ <- expression22;
460		-… … …
461		-
462	462	As said, it is assumed that these VTL derived Data Sets have the TIME_PERIOD as the only identifier. In the mapping from VTL to SMDX, the Dimensions INDICATOR and COUNTRY are added to the VTL data structure on order to obtain the SDMX one, with the following values respectively:
463	463
464		-VTL dataset   INDICATOR value COUNTRY value
	461	+> VTL dataset INDICATOR value COUNTRY value
	462	+>
	463	+> ‘DF2(1.0.0)/GDPPERCAPITA.USA’ GDPPERCAPITA USA
	464	+> ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ GDPPERCAPITA CANADA … … …
	465	+>
	466	+> ‘DF2(1.0.0)/POPGROWTH.USA’ POPGROWTH USA
	467	+> ‘DF2(1.0.0)/POPGROWTH.CANADA’ POPGROWTH CANADA
	468	+> … … …
465	465
466		-‘DF2(1.0.0)/GDPPERCAPITA.USA’ GDPPERCAPITA USA
467		-‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ GDPPERCAPITA CANADA … … …
468		-‘DF2(1.0.0)/POPGROWTH.USA’  POPGROWTH USA
469		-‘DF2(1.0.0)/POPGROWTH.CANADA’ POPGROWTH CANADA
470		-
471		-… … …
472		-
473	473	It should be noted that the application of this many-to-one mapping from VTL to SDMX is equivalent to an appropriate sequence of VTL Transformations. These use the VTL operator “calc” to add the proper VTL identifiers (in the example, INDICATOR and COUNTRY) and to assign to them the proper values and the operator “union” in order to obtain the final VTL dataset (in the example DF2(1.0.0)), that can be mapped oneto-one to the homonymous SDMX Dataflow. Following the same example, these VTL Transformations would be:
474	474
475		-DF2bis_GDPPERCAPITA_USA := ‘DF2(1.0.0)/GDPPERCAPITA.USA’ [calc identifier INDICATOR := ”GDPPERCAPITA”, identifier COUNTRY := ”USA”];
476		-DF2bis_GDPPERCAPITA_CANADA := ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ [calc identifier INDICATOR:=”GDPPERCAPITA”, identifier COUNTRY:=”CANADA”]; … … …
477		-DF2bis_POPGROWTH_USA := ‘DF2(1.0.0)/POPGROWTH.USA’
478		-[calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”USA”];
479		-DF2bis_POPGROWTH_CANADA’ := ‘DF2(1.0.0)/POPGROWTH.CANADA’ [calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”CANADA”]; … … …
480		-DF2(1.0) <- UNION  (DF2bis_GDPPERCAPITA_USA’,
481		-DF2bis_GDPPERCAPITA_CANADA’,
482		-… ,
483		-DF2bis_POPGROWTH_USA’,
484		-DF2bis_POPGROWTH_CANADA’
485		-…);
	472	+> DF2bis_GDPPERCAPITA_USA := ‘DF2(1.0.0)/GDPPERCAPITA.USA’ [calc identifier INDICATOR := ”GDPPERCAPITA”, identifier COUNTRY := ”USA”]; DF2bis_GDPPERCAPITA_CANADA := ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ [calc identifier INDICATOR:=”GDPPERCAPITA”, identifier COUNTRY:=”CANADA”];… … … DF2bis_POPGROWTH_USA := ‘DF2(1.0.0)/POPGROWTH.USA’ [calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”USA”]; DF2bis_POPGROWTH_CANADA’ := ‘DF2(1.0.0)/POPGROWTH.CANADA’ [calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”CANADA”];… … … DF2(1.0) <- UNION (DF2bis_GDPPERCAPITA_USA’, DF2bis_GDPPERCAPITA_CANADA’,
	473	+> … ,
	474	+> DF2bis_POPGROWTH_USA’, DF2bis_POPGROWTH_CANADA’
	475	+> …);
486	486
487	487	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 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.
488	488
...	...	@@ -494,25 +494,26 @@
494	494
495	495	With reference to the VTL “model for Variables and Value domains”, the following additional mappings have to be considered:
496	496
497		-|VTL|SDMX
498		-|**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^^
499		-|**Represented Variable**|**Concept** with a definite Representation
500		-|**Value Domain**|(((
	487	+(% style="width:706.294px" %)
	488	+|(% style="width:257px" %)VTL|(% style="width:446px" %)SDMX
	489	+|(% style="width:257px" %)**Data Set Component**|(% style="width:446px" %)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^^
	490	+|(% style="width:257px" %)**Represented Variable**|(% style="width:446px" %)**Concept** with a definite Representation
	491	+|(% style="width:257px" %)**Value Domain**|(% style="width:446px" %)(((
501	501	**Representation** (see the Structure
502	502	Pattern in the Base Package)
503	503	)))
504		-|**Enumerated Value Domain / Code List**|**Codelist**
505		-|**Code**|**Code** (for enumerated DimensionComponent, Measure, DataAttribute)
506		-|**Described Value Domain**|(((
	495	+|(% style="width:257px" %)**Enumerated Value Domain / Code List**|(% style="width:446px" %)**Codelist**
	496	+|(% style="width:257px" %)**Code**|(% style="width:446px" %)**Code** (for enumerated DimensionComponent, Measure, DataAttribute)
	497	+|(% style="width:257px" %)**Described Value Domain**|(% style="width:446px" %)(((
507	507	non-enumerated** Representation**
508	508	(having Facets / ExtendedFacets, see the Structure Pattern in the Base Package)
509	509	)))
510		-|**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
511		-| |to a valid **value **(for non-enumerated** **Representations)
512		-|**Value Domain Subset / Set**|This abstraction does not exist in SDMX
513		-|**Enumerated Value Domain Subset / Enumerated Set**|This abstraction does not exist in SDMX
514		-|**Described Value Domain Subset / Described Set**|This abstraction does not exist in SDMX
515		-|**Set list**|This abstraction does not exist in SDMX
	501	+|(% style="width:257px" %)**Value**|(% style="width:446px" %)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
	502	+|(% style="width:257px" %) |(% style="width:446px" %)to a valid **value **(for non-enumerated** **Representations)
	503	+|(% style="width:257px" %)**Value Domain Subset / Set**|(% style="width:446px" %)This abstraction does not exist in SDMX
	504	+|(% style="width:257px" %)**Enumerated Value Domain Subset / Enumerated Set**|(% style="width:446px" %)This abstraction does not exist in SDMX
	505	+|(% style="width:257px" %)**Described Value Domain Subset / Described Set**|(% style="width:446px" %)This abstraction does not exist in SDMX
	506	+|(% style="width:257px" %)**Set list**|(% style="width:446px" %)This abstraction does not exist in SDMX
516	516
517	517	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).
518	518
...	...	@@ -520,8 +520,10 @@
520	520
521	521	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
522	522
523		-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.
	514	+> DS_c := DS_a + DS_b (where DS_a, DS_b, DS_c are VTL Data Sets)
524	524
	516	+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.
	517	+
525	525	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
526	526
527	527	Transformations to ensure that the VTL expressions are consistent with the actual representations of the correspondent SDMX Concepts.
...	...	@@ -536,8 +536,9 @@
536	536
537	537	The VTL data types are sub-divided in scalar types (like integers, strings, etc.), which are the types of the scalar values, and compound types (like Data Sets, Components, Rulesets, etc.), which are the types of the compound structures. See below the diagram of the VTL data types, taken from the VTL User Manual:
538	538
539		-[[image:1750067055028-964.png]]
540	540
	533	+[[image:1750070288958-132.png]]
	534	+
541	541	**Figure 22 – VTL Data Types**
542	542
543	543	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.
...	...	@@ -544,6 +544,8 @@
544	544
545	545	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):
546	546
	541	+[[image:1750070310572-584.png]]
	542	+
547	547	**Figure 23 – VTL Basic Scalar Types**
548	548
549	549	=== 12.4.2 VTL basic scalar types and SDMX data types ===
...	...	@@ -568,158 +568,157 @@
568	568
569	569	The following table describes the default mapping for converting from the SDMX data types to the VTL basic scalar types.
570	570
571		-|SDMX data type (BasicComponentDataType)|Default VTL basic scalar type
572		-|(((
	567	+(% style="width:583.294px" %)
	568	+|(% style="width:360px" %)SDMX data type (BasicComponentDataType)|(% style="width:221px" %)Default VTL basic scalar type
	569	+|(% style="width:360px" %)(((
573	573	String
574	574	(string allowing any character)
575		-)))|string
576		-|(((
577		-Alpha
578		-
	572	+)))|(% style="width:221px" %)string
	573	+|(% style="width:360px" %)(((
	574	+Alpha
579	579	(string which only allows A-z)
580		-)))|string
581		-|(((
	576	+)))|(% style="width:221px" %)string
	577	+|(% style="width:360px" %)(((
582	582	AlphaNumeric
583	583	(string which only allows A-z and 0-9)
584		-)))|string
585		-|(((
	580	+)))|(% style="width:221px" %)string
	581	+|(% style="width:360px" %)(((
586	586	Numeric
587		-
588	588	(string which only allows 0-9, but is not numeric so that is can having leading zeros)
589		-)))|string
590		-|(((
	584	+)))|(% style="width:221px" %)string
	585	+|(% style="width:360px" %)(((
591	591	BigInteger
592	592	(corresponds to XML Schema xs:integer datatype; infinite set of integer values)
593		-)))|integer
594		-|(((
	588	+)))|(% style="width:221px" %)integer
	589	+|(% style="width:360px" %)(((
595	595	Integer
596	596	(corresponds to XML Schema xs:int datatype; between -2147483648 and +2147483647
597	597	(inclusive))
598		-)))|integer
599		-|(((
	593	+)))|(% style="width:221px" %)integer
	594	+|(% style="width:360px" %)(((
600	600	Long
601	601	(corresponds to XML Schema xs:long datatype; between -9223372036854775808 and
602	602	+9223372036854775807 (inclusive))
603		-)))|integer
604		-|(((
	598	+)))|(% style="width:221px" %)integer
	599	+|(% style="width:360px" %)(((
605	605	Short
606	606	(corresponds to XML Schema xs:short datatype; between -32768 and -32767 (inclusive))
607		-)))|integer
608		-|Decimal (corresponds to XML Schema xs:decimal datatype; subset of real numbers that can be represented as decimals)|number
609		-|(((
	602	+)))|(% style="width:221px" %)integer
	603	+|(% style="width:360px" %)Decimal (corresponds to XML Schema xs:decimal datatype; subset of real numbers that can be represented as decimals)|(% style="width:221px" %)number
	604	+|(% style="width:360px" %)(((
610	610	Float
611	611	(corresponds to XML Schema xs:float datatype; patterned after the IEEE single-precision 32-bit floating point type)
612		-)))|number
613		-|(((
	607	+)))|(% style="width:221px" %)number
	608	+|(% style="width:360px" %)(((
614	614	Double
615	615	(corresponds to XML Schema xs:double datatype; patterned after the IEEE double-precision 64-bit floating point type)
616		-)))|number
617		-|(((
	611	+)))|(% style="width:221px" %)number
	612	+|(% style="width:360px" %)(((
618	618	Boolean
619	619	(corresponds to the XML Schema xs:boolean datatype; support the mathematical concept of
620	620	binary-valued logic: {true, false})
621		-)))|boolean
622		-|(((
	616	+)))|(% style="width:221px" %)boolean
	617	+|(% style="width:360px" %)(((
623	623	URI
624	624	(corresponds to the XML Schema xs:anyURI; absolute or relative Uniform Resource Identifier Reference)
625		-)))|string
626		-|(((
	620	+)))|(% style="width:221px" %)string
	621	+|(% style="width:360px" %)(((
627	627	Count
628	628	(an integer following a sequential pattern, increasing by 1 for each occurrence)
629		-)))|integer
630		-|(((
	624	+)))|(% style="width:221px" %)integer
	625	+|(% style="width:360px" %)(((
631	631	InclusiveValueRange
632	632	(decimal number within a closed interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
633		-)))|number
634		-|(((
	628	+)))|(% style="width:221px" %)number
	629	+|(% style="width:360px" %)(((
635	635	ExclusiveValueRange
636	636	(decimal number within an open interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
637		-)))|number
638		-|(((
	632	+)))|(% style="width:221px" %)number
	633	+|(% style="width:360px" %)(((
639	639	Incremental
640	640	(decimal number the increased by a specific interval (defined by the interval facet), which is typically enforced outside of the XML validation)
641		-)))|number
642		-|(((
	636	+)))|(% style="width:221px" %)number
	637	+|(% style="width:360px" %)(((
643	643	ObservationalTimePeriod
644	644	(superset of StandardTimePeriod and TimeRange)
645		-)))|time
646		-|(((
	640	+)))|(% style="width:221px" %)time
	641	+|(% style="width:360px" %)(((
647	647	StandardTimePeriod
648	648	(superset of BasicTimePeriod and ReportingTimePeriod)
649		-)))|time
650		-|(((
	644	+)))|(% style="width:221px" %)time
	645	+|(% style="width:360px" %)(((
651	651	BasicTimePeriod
652	652	(superset of GregorianTimePeriod and DateTime)
653		-)))|date
654		-|(((
	648	+)))|(% style="width:221px" %)date
	649	+|(% style="width:360px" %)(((
655	655	GregorianTimePeriod
656	656	(superset of GregorianYear, GregorianYearMonth, and GregorianDay)
657		-)))|date
658		-|GregorianYear (YYYY)|date
659		-|GregorianYearMonth / GregorianMonth (YYYY-MM)|date
660		-|GregorianDay (YYYY-MM-DD)|date
661		-|(((
	652	+)))|(% style="width:221px" %)date
	653	+|(% style="width:360px" %)GregorianYear (YYYY)|(% style="width:221px" %)date
	654	+|(% style="width:360px" %)GregorianYearMonth / GregorianMonth (YYYY-MM)|(% style="width:221px" %)date
	655	+|(% style="width:360px" %)GregorianDay (YYYY-MM-DD)|(% style="width:221px" %)date
	656	+|(% style="width:360px" %)(((
662	662	ReportingTimePeriod
663	663	(superset of RepostingYear, ReportingSemester, ReportingTrimester, ReportingQuarter, ReportingMonth, ReportingWeek, ReportingDay)
664		-)))|time_period
665		-|(((
	659	+)))|(% style="width:221px" %)time_period
	660	+|(% style="width:360px" %)(((
666	666	ReportingYear
667	667	(YYYY-A1 – 1 year period)
668		-)))|time_period
669		-|(((
	663	+)))|(% style="width:221px" %)time_period
	664	+|(% style="width:360px" %)(((
670	670	ReportingSemester
671	671	(YYYY-Ss – 6 month period)
672		-)))|time_period
673		-|(((
	667	+)))|(% style="width:221px" %)time_period
	668	+|(% style="width:360px" %)(((
674	674	ReportingTrimester
675	675	(YYYY-Tt – 4 month period)
676		-)))|time_period
677		-|(((
	671	+)))|(% style="width:221px" %)time_period
	672	+|(% style="width:360px" %)(((
678	678	ReportingQuarter
679	679	(YYYY-Qq – 3 month period)
680		-)))|time_period
681		-|(((
	675	+)))|(% style="width:221px" %)time_period
	676	+|(% style="width:360px" %)(((
682	682	ReportingMonth
683	683	(YYYY-Mmm – 1 month period)
684		-)))|time_period
685		-|ReportingWeek|time_period
686		-| (YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|
687		-|(((
	679	+)))|(% style="width:221px" %)time_period
	680	+|(% style="width:360px" %)ReportingWeek|(% style="width:221px" %)time_period
	681	+|(% style="width:360px" %) (YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|(% style="width:221px" %)
	682	+|(% style="width:360px" %)(((
688	688	ReportingDay
689	689	(YYYY-Dddd – 1 day period)
690		-)))|time_period
691		-|(((
	685	+)))|(% style="width:221px" %)time_period
	686	+|(% style="width:360px" %)(((
692	692	DateTime
693	693	(YYYY-MM-DDThh:mm:ss)
694		-)))|date
695		-|(((
	689	+)))|(% style="width:221px" %)date
	690	+|(% style="width:360px" %)(((
696	696	TimeRange
697	697	(YYYY-MM-DD(Thh:mm:ss)?/<duration>)
698		-)))|time
699		-|(((
	693	+)))|(% style="width:221px" %)time
	694	+|(% style="width:360px" %)(((
700	700	Month
701	701	(~-~-MM; speicifies a month independent of a year; e.g. February is black history month in the United States)
702		-)))|string
703		-|(((
	697	+)))|(% style="width:221px" %)string
	698	+|(% style="width:360px" %)(((
704	704	MonthDay
705	705	(~-~-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)
706		-)))|string
707		-|(((
	701	+)))|(% style="width:221px" %)string
	702	+|(% style="width:360px" %)(((
708	708	Day
709	709	(~-~--DD; specifies a day independent of a month or year; e.g. the 15^^th^^ is payday)
710		-)))|string
711		-|(((
	705	+)))|(% style="width:221px" %)string
	706	+|(% style="width:360px" %)(((
712	712	Time
713	713	(hh:mm:ss; time independent of a date; e.g. coffee break is at 10:00 AM)
714		-)))|string
715		-|(((
	709	+)))|(% style="width:221px" %)string
	710	+|(% style="width:360px" %)(((
716	716	Duration
717	717	(corresponds to XML Schema xs:duration datatype)
718		-)))|duration
719		-|XHTML|Metadata type – not applicable
720		-|KeyValues|Metadata type – not applicable
721		-|IdentifiableReference|Metadata type – not applicable
722		-|DataSetReference|Metadata type – not applicable
	713	+)))|(% style="width:221px" %)duration
	714	+|(% style="width:360px" %)XHTML|(% style="width:221px" %)Metadata type – not applicable
	715	+|(% style="width:360px" %)KeyValues|(% style="width:221px" %)Metadata type – not applicable
	716	+|(% style="width:360px" %)IdentifiableReference|(% style="width:221px" %)Metadata type – not applicable
	717	+|(% style="width:360px" %)DataSetReference|(% style="width:221px" %)Metadata type – not applicable
723	723
724	724	**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types**
725	725
...	...	@@ -729,84 +729,82 @@
729	729
730	730	The following table describes the default conversion from the VTL basic scalar types to the SDMX data types .
731	731
732		-|(((
733		-VTL basic
734		-scalar type
735		-)))|(((
	727	+(% style="width:748.294px" %)
	728	+|(% style="width:164px" %)(((
	729	+VTL basic scalar type
	730	+)))|(% style="width:304px" %)(((
736	736	Default SDMX data type
737		-(BasicComponentDataType
738		-)
739		-)))|Default output format
740		-|String|String|Like XML (xs:string)
741		-|Number|Float|Like XML (xs:float)
742		-|Integer|Integer|Like XML (xs:int)
743		-|Date|DateTime|YYYY-MM-DDT00:00:00Z
744		-|Time|StandardTimePeriod|<date>/<date> (as defined above)
745		-|time_period|(((
	732	+(BasicComponentDataType)
	733	+)))|(% style="width:277px" %)Default output format
	734	+|(% style="width:164px" %)String|(% style="width:304px" %)String|(% style="width:277px" %)Like XML (xs:string)
	735	+|(% style="width:164px" %)Number|(% style="width:304px" %)Float|(% style="width:277px" %)Like XML (xs:float)
	736	+|(% style="width:164px" %)Integer|(% style="width:304px" %)Integer|(% style="width:277px" %)Like XML (xs:int)
	737	+|(% style="width:164px" %)Date|(% style="width:304px" %)DateTime|(% style="width:277px" %)YYYY-MM-DDT00:00:00Z
	738	+|(% style="width:164px" %)Time|(% style="width:304px" %)StandardTimePeriod|(% style="width:277px" %)<date>/<date> (as defined above)
	739	+|(% style="width:164px" %)time_period|(% style="width:304px" %)(((
746	746	ReportingTimePeriod
747	747	(StandardReportingPeriod)
748		-)))|(((
	742	+)))|(% style="width:277px" %)(((
749	749	YYYY-Pppp
750	750	(according to SDMX )
751	751	)))
752		-|Duration|Duration|Like XML (xs:duration) PnYnMnDTnHnMnS
753		-|Boolean|Boolean|Like XML (xs:boolean) with the values "true" or "false"
	746	+|(% style="width:164px" %)Duration|(% style="width:304px" %)Duration|(% style="width:277px" %)Like XML (xs:duration) PnYnMnDTnHnMnS
	747	+|(% style="width:164px" %)Boolean|(% style="width:304px" %)Boolean|(% style="width:277px" %)Like XML (xs:boolean) with the values "true" or "false"
754	754
755	755	**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types**
756	756
757		-In case a different default conversion is desired, it can be achieved through the CustomTypeScheme and CustomType artefacts (see also the section
	751	+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).
758	758
759		-Transformations and Expressions of the SDMX information model).
760		-
761	761	The custom output formats can be specified by means of the VTL formatting mask described in the section "Type Conversion and Formatting Mask" of the VTL Reference Manual. Such a section describes the masks for the VTL basic scalar types "number", "integer", "date", "time", "time_period" and "duration" and gives examples. As for the types "string" and "boolean" the VTL conventions are extended with some other special characters as described in the following table.
762	762
763		-|(% colspan="2" %)VTL special characters for the formatting masks
764		-|(% colspan="2" %)
765		-|(% colspan="2" %)Number
766		-|D|one numeric digit (if the scientific notation is adopted, D is only for the mantissa)
767		-|E|one numeric digit (for the exponent of the scientific notation)
768		-|. (dot)|possible separator between the integer and the decimal parts.
769		-|, (comma)|possible separator between the integer and the decimal parts.
770		-| |
771		-|(% colspan="2" %)Time and duration
772		-|C|century
773		-|Y|year
774		-|S|semester
775		-|Q|quarter
776		-|M|month
777		-|W|week
778		-|D|day
779		-|h|hour digit (by default on 24 hours)
780		-|M|minute
781		-|S|second
782		-|D|decimal of second
783		-|P|period indicator (representation in one digit for the duration)
784		-|P|number of the periods specified in the period indicator
785		-|AM/PM|indicator of AM / PM (e.g. am/pm for "am" or "pm")
786		-|MONTH|uppercase textual representation of the month (e.g., JANUARY for January)
787		-|DAY|uppercase textual representation of the day (e.g., MONDAY for Monday)
788		-|Month|lowercase textual representation of the month (e.g., january)
789		-|Day|lowercase textual representation of the month (e.g., monday)
790		-|Month|First character uppercase, then lowercase textual representation of the month (e.g., January)
791		-|Day|First character uppercase, then lowercase textual representation of the day using (e.g. Monday)
792		-| |
793		-|(% colspan="2" %)String
794		-|X|any string character
795		-|Z|any string character from "A" to "z"
796		-|9|any string character from "0" to "9"
797		-| |
798		-|(% colspan="2" %)Boolean
799		-|B|Boolean using "true" for True and "false" for False
800		-|1|Boolean using "1" for True and "0" for False
801		-|0|Boolean using "0" for True and "1" for False
802		-| |
803		-|(% colspan="2" %)Other qualifiers
804		-|*|an arbitrary number of digits (of the preceding type)
805		-|+|at least one digit (of the preceding type)
806		-|( )|optional digits (specified within the brackets)
807		-|\|prefix for the special characters that must appear in the mask
808		-|N|fixed number of digits used in the preceding textual representation of the month or the day
809		-| |
	755	+(% style="width:717.294px" %)
	756	+|(% colspan="2" style="width:714px" %)VTL special characters for the formatting masks
	757	+|(% colspan="2" style="width:714px" %)
	758	+|(% colspan="2" style="width:714px" %)Number
	759	+|(% style="width:122px" %)D|(% style="width:591px" %)one numeric digit (if the scientific notation is adopted, D is only for the mantissa)
	760	+|(% style="width:122px" %)E|(% style="width:591px" %)one numeric digit (for the exponent of the scientific notation)
	761	+|(% style="width:122px" %). (dot)|(% style="width:591px" %)possible separator between the integer and the decimal parts.
	762	+|(% style="width:122px" %), (comma)|(% style="width:591px" %)possible separator between the integer and the decimal parts.
	763	+|(% style="width:122px" %) |(% style="width:591px" %)
	764	+|(% colspan="2" style="width:714px" %)Time and duration
	765	+|(% style="width:122px" %)C|(% style="width:591px" %)century
	766	+|(% style="width:122px" %)Y|(% style="width:591px" %)year
	767	+|(% style="width:122px" %)S|(% style="width:591px" %)semester
	768	+|(% style="width:122px" %)Q|(% style="width:591px" %)quarter
	769	+|(% style="width:122px" %)M|(% style="width:591px" %)month
	770	+|(% style="width:122px" %)W|(% style="width:591px" %)week
	771	+|(% style="width:122px" %)D|(% style="width:591px" %)day
	772	+|(% style="width:122px" %)h|(% style="width:591px" %)hour digit (by default on 24 hours)
	773	+|(% style="width:122px" %)M|(% style="width:591px" %)minute
	774	+|(% style="width:122px" %)S|(% style="width:591px" %)second
	775	+|(% style="width:122px" %)D|(% style="width:591px" %)decimal of second
	776	+|(% style="width:122px" %)P|(% style="width:591px" %)period indicator (representation in one digit for the duration)
	777	+|(% style="width:122px" %)P|(% style="width:591px" %)number of the periods specified in the period indicator
	778	+|(% style="width:122px" %)AM/PM|(% style="width:591px" %)indicator of AM / PM (e.g. am/pm for "am" or "pm")
	779	+|(% style="width:122px" %)MONTH|(% style="width:591px" %)uppercase textual representation of the month (e.g., JANUARY for January)
	780	+|(% style="width:122px" %)DAY|(% style="width:591px" %)uppercase textual representation of the day (e.g., MONDAY for Monday)
	781	+|(% style="width:122px" %)Month|(% style="width:591px" %)lowercase textual representation of the month (e.g., january)
	782	+|(% style="width:122px" %)Day|(% style="width:591px" %)lowercase textual representation of the month (e.g., monday)
	783	+|(% style="width:122px" %)Month|(% style="width:591px" %)First character uppercase, then lowercase textual representation of the month (e.g., January)
	784	+|(% style="width:122px" %)Day|(% style="width:591px" %)First character uppercase, then lowercase textual representation of the day using (e.g. Monday)
	785	+|(% style="width:122px" %) |(% style="width:591px" %)
	786	+|(% colspan="2" style="width:714px" %)String
	787	+|(% style="width:122px" %)X|(% style="width:591px" %)any string character
	788	+|(% style="width:122px" %)Z|(% style="width:591px" %)any string character from "A" to "z"
	789	+|(% style="width:122px" %)9|(% style="width:591px" %)any string character from "0" to "9"
	790	+|(% style="width:122px" %) |(% style="width:591px" %)
	791	+|(% colspan="2" style="width:714px" %)Boolean
	792	+|(% style="width:122px" %)B|(% style="width:591px" %)Boolean using "true" for True and "false" for False
	793	+|(% style="width:122px" %)1|(% style="width:591px" %)Boolean using "1" for True and "0" for False
	794	+|(% style="width:122px" %)0|(% style="width:591px" %)Boolean using "0" for True and "1" for False
	795	+|(% style="width:122px" %) |(% style="width:591px" %)
	796	+|(% colspan="2" style="width:714px" %)Other qualifiers
	797	+|(% style="width:122px" %)*|(% style="width:591px" %)an arbitrary number of digits (of the preceding type)
	798	+|(% style="width:122px" %)+|(% style="width:591px" %)at least one digit (of the preceding type)
	799	+|(% style="width:122px" %)( )|(% style="width:591px" %)optional digits (specified within the brackets)
	800	+|(% style="width:122px" %)\|(% style="width:591px" %)prefix for the special characters that must appear in the mask
	801	+|(% style="width:122px" %)N|(% style="width:591px" %)fixed number of digits used in the preceding textual representation of the month or the day
	802	+|(% style="width:122px" %) |(% style="width:591px" %)
810	810
811	811	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}}.
812	812

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