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1 -{{box title="**Contents**"}}
2 -{{toc/}}
3 -{{/box}}
1 += 12 Validation and Transformation Language (VTL) =
4 4  
5 5  == 12.1 Introduction ==
6 6  
7 -The Validation and Transformation Language (VTL) supports the definition of Transformations, which are algorithms to calculate new data starting from already existing ones{{footnote}}The Validation and Transformation Language is a standard language designed and published under the SDMX initiative. VTL is described in the VTL User and Reference Guides available on the SDMX website https://sdmx.org.{{/footnote}}. The purpose of the VTL in the SDMX context is to enable the:
5 +The Validation and Transformation Language (VTL) supports the definition of Transformations, which are algorithms to calculate new data starting from already existing ones^^[[^^5^^>>path:#sdfootnote5sym||name="sdfootnote5anc"]]^^. The purpose of the VTL in the SDMX context is to enable the:
8 8  
9 9  * definition of validation and transformation algorithms, in order to specify how to calculate new data from existing ones;
10 10  * exchange of the definition of VTL algorithms, also together the definition of the data structures of the involved data (for example, exchange the data structures of a reporting framework together with the validation rules to be applied, exchange the input and output data structures of a calculation task together with the VTL Transformations describing the calculation algorithms);
... ... @@ -12,7 +12,7 @@
12 12  
13 13  It is important to note that the VTL has its own information model (IM), derived from the Generic Statistical Information Model (GSIM) and described in the VTL User Guide. The VTL IM is designed to be compatible with more standards, like SDMX, DDI (Data Documentation Initiative) and GSIM, and includes the model artefacts that can be manipulated (inputs and/or outputs of Transformations, e.g. "Data Set", "Data Structure") and the model artefacts that allow the definition of the transformation algorithms (e.g. "Transformation", "Transformation Scheme").
14 14  
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).
13 +The VTL language can be applied to SDMX artefacts by mapping the SDMX IM model artefacts to the model artefacts that VTL can manipulate^^[[^^6^^>>path:#sdfootnote6sym||name="sdfootnote6anc"]]^^. 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 17  The VTL programs (Transformation Schemes) are represented in SDMX through the TransformationScheme maintainable class which is composed of
18 18  
... ... @@ -30,7 +30,7 @@
30 30  
31 31  In any case, the aliases used in the VTL Transformations have to be mapped to the
32 32  
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.
31 +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^^[[^^7^^>>path:#sdfootnote7sym||name="sdfootnote7anc"]]^^ or User Defined Operators^^[[^^8^^>>path:#sdfootnote8sym||name="sdfootnote8anc"]]^^ to reference SDMX artefacts. A VtlMappingScheme is a container for zero or more VtlMapping.
34 34  
35 35  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.
36 36  
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40 40  
41 41  This approach has the advantage that in the VTL code the URN of the referenced artefacts is directly intelligible by a human reader but has the drawback that the references are verbose.
42 42  
43 -The SDMX URN{{footnote}}For a complete description of the structure of the URN see the SDMX 2.1 Standards - Section 5 - Registry Specifications, paragraph 6.2.2 ("Universal Resource Name (URN)").{{/footnote}} is the concatenation of the following parts, separated by special symbols like dot, equal, asterisk, comma, and parenthesis:
41 +The SDMX URN^^[[^^9^^>>path:#sdfootnote9sym||name="sdfootnote9anc"]]^^ is the concatenation of the following parts, separated by special symbols like dot, equal, asterisk, comma, and parenthesis:
44 44  
45 45  * SDMXprefix
46 46  * SDMX-IM-package-name
... ... @@ -48,7 +48,7 @@
48 48  * agency-id
49 49  * maintainedobject-id
50 50  * maintainedobject-version
51 -* container-object-id{{footnote}}The container-object-id can repeat and may not be present.{{/footnote}}
49 +* container-object-id ^^[[^^10^^>>path:#sdfootnote10sym||name="sdfootnote10anc"]]^^
52 52  * object-id
53 53  
54 54  The generic structure of the URN is the following:
... ... @@ -65,7 +65,7 @@
65 65  
66 66  The agency-id is the acronym of the agency that owns the definition of the artefact, for example for the Eurostat artefacts the agency-id is "ESTAT"). The agency-id can be composite (for example AgencyA.Dept1.Unit2).
67 67  
68 -The maintainedobject-id is the name of the maintained object which the artefact belongs to, and in case the artefact itself is maintainable{{footnote}}i.e., the artefact belongs to a maintainable class{{/footnote}}, coincides with the name of the artefact. Therefore the maintainedobject-id depends on the class of the artefact:
66 +The maintainedobject-id is the name of the maintained object which the artefact belongs to, and in case the artefact itself is maintainable^^[[^^11^^>>path:#sdfootnote11sym||name="sdfootnote11anc"]]^^, coincides with the name of the artefact. Therefore the maintainedobject-id depends on the class of the artefact:
69 69  
70 70  * if the artefact is a Dataflow, which is a maintainable class, the maintainedobject-id is the Dataflow name (dataflow-id);
71 71  * if the artefact is a Dimension, Measure, TimeDimension or DataAttribute, which are not maintainable and belong to the
... ... @@ -84,7 +84,7 @@
84 84  * if the artefact is a Dimension, TimeDimension, Measure or DataAttribute (the object-id is the name of one of the artefacts above, which are data structure components)
85 85  * if the artefact is a Concept (the object-id is the name of the Concept)
86 86  
87 -For example, by using the URN, the VTL Transformation that sums two SDMX Dataflows DF1 and DF2 and assigns the result to a third persistent Dataflow DFR, assuming that DF1, DF2 and DFR are the maintainedobject-id of the three Dataflows, that their version is 1.0.0 and their Agency is AG, would be written as{{footnote}}Since these references to SDMX objects include non-permitted characters as per the VTL ID notation, they need to be included between single quotes, according to the VTL rules for irregular names.{{/footnote}}:
85 +For example, by using the URN, the VTL Transformation that sums two SDMX Dataflows DF1 and DF2 and assigns the result to a third persistent Dataflow DFR, assuming that DF1, DF2 and DFR are the maintainedobject-id of the three Dataflows, that their version is 1.0.0 and their Agency is AG, would be written as^^[[^^12^^>>path:#sdfootnote12sym||name="sdfootnote12anc"]]^^:
88 88  
89 89  'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DFR(1.0.0)' <-
90 90  
... ... @@ -98,10 +98,10 @@
98 98  
99 99  The URN can be abbreviated by omitting the parts that are not essential for the identification of the artefact or that can be deduced from other available information, including the context in which the invocation is made. The possible abbreviations are described below.
100 100  
101 -* The SDMXprefix can be omitted for all the SDMX objects, because it is a prefixed string (urn:sdmx:org), always the same for SDMX objects. • The SDMX-IM-package-name** &nbsp;**can be omitted as well because it can be deduced from the class-name that follows it (the table of the SDMX-IM packages and classes that allows this deduction is in the SDMX 2.1 Standards - Section 5 - Registry Specifications, paragraph 6.2.3). In particular, considering the object classes of the artefacts that VTL can reference, the package is:
99 +* The SDMXprefix can be omitted for all the SDMX objects, because it is a prefixed string (urn:sdmx:org), always the same for SDMX objects. • The SDMX-IM-package-name** &nbsp;**can be omitted as well because it can be deduced from the class-name that follows it (the table of the SDMX-IM packages and classes that allows this deduction is in the SDMX 2.1 Standards - Section 5 - Registry Specifications, paragraph 6.2.3). In particular, considering the object classes of the artefacts that VTL can reference, the package is:
102 102  ** "datastructure" for the classes Dataflow, Dimension, TimeDimension, Measure, DataAttribute, o "conceptscheme" for the class Concept, o "codelist" for the class Codelist.
103 -* The class-name can be omitted as it can be deduced from the VTL invocation. In particular, starting from the VTL class of the invoked artefact (e.g. dataset, component, identifier, measure, attribute, variable, valuedomain), which is known given the syntax of the invoking VTL operator^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^13^^>>path:#sdfootnote13sym||name="sdfootnote13anc"]](%%)^^, the SDMX class can be deduced from the mapping rules between VTL and SDMX (see the section "Mapping between VTL and SDMX" hereinafter)^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^14^^>>path:#sdfootnote14sym||name="sdfootnote14anc"]](%%)^^.
104 -* If the agency-id is not specified, it is assumed by default equal to the agency-id of the TransformationScheme, UserDefinedOperatorScheme or RulesetScheme from which the artefact is invoked. For example, the agencyid can be omitted if it is the same as the invoking TransformationScheme and cannot be omitted if the artefact comes from another agency^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^15^^>>path:#sdfootnote15sym||name="sdfootnote15anc"]](%%)^^. Take also into account that, according to the VTL consistency rules, the agency of the result of a Transformation must be the same as its TransformationScheme, therefore the agency-id can be omitted for all the results (left part of Transformation statements).
101 +* The class-name can be omitted as it can be deduced from the VTL invocation. In particular, starting from the VTL class of the invoked artefact (e.g. dataset, component, identifier, measure, attribute, variable, valuedomain), which is known given the syntax of the invoking VTL operator^^[[^^13^^>>path:#sdfootnote13sym||name="sdfootnote13anc"]]^^, the SDMX class can be deduced from the mapping rules between VTL and SDMX (see the section "Mapping between VTL and SDMX" hereinafter)^^[[^^14^^>>path:#sdfootnote14sym||name="sdfootnote14anc"]]^^.
102 +* If the agency-id is not specified, it is assumed by default equal to the agency-id of the TransformationScheme, UserDefinedOperatorScheme or RulesetScheme from which the artefact is invoked. For example, the agencyid can be omitted if it is the same as the invoking TransformationScheme and cannot be omitted if the artefact comes from another agency^^[[^^15^^>>path:#sdfootnote15sym||name="sdfootnote15anc"]]^^. Take also into account that, according to the VTL consistency rules, the agency of the result of a Transformation must be the same as its TransformationScheme, therefore the agency-id can be omitted for all the results (left part of Transformation statements).
105 105  * As for the maintainedobject-id, this is essential in some cases while in other cases it can be omitted: o if the referenced artefact is a Dataflow, which is a maintainable class, the maintainedobject-id is the dataflow-id and obviously cannot be omitted;
106 106  ** if the referenced artefact is a Dimension, TimeDimension, Measure, DataAttribute, which are not maintainable and belong to the DataStructure maintainable class, the maintainedobject-id is the dataStructure-id and can be omitted, given that these components are always invoked within the invocation of a Dataflow, whose dataStructure-id can be deduced from the SDMX structural definitions;
107 107  ** if the referenced artefact is a Concept, which is not maintainable and belong to the ConceptScheme maintainable class, the maintained object is the conceptScheme-id and cannot be omitted;
... ... @@ -123,7 +123,7 @@
123 123  
124 124  DFR := DF1 + DF2
125 125  
126 -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^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^16^^>>path:#sdfootnote16sym||name="sdfootnote16anc"]](%%)^^:
124 +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^^[[^^16^^>>path:#sdfootnote16sym||name="sdfootnote16anc"]]^^:
127 127  
128 128  'urn:sdmx:org.sdmx.infomodel.codelist.Codelist=AG:CL_FREQ(1.0.0)'
129 129  
... ... @@ -141,7 +141,7 @@
141 141  
142 142  SECTOR
143 143  
144 -For example, the Transformation for renaming the component SECTOR of the Dataflow DF1 into SEC can be written as^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^17^^>>path:#sdfootnote17sym||name="sdfootnote17anc"]](%%)^^:
142 +For example, the Transformation for renaming the component SECTOR of the Dataflow DF1 into SEC can be written as^^[[^^17^^>>path:#sdfootnote17sym||name="sdfootnote17anc"]]^^:
145 145  
146 146  'DFR(1.0.0)' := 'DF1(1.0.0)' [rename SECTOR to SEC]
147 147  
... ... @@ -173,9 +173,9 @@
173 173  
174 174  The VTL Rulesets have a signature, in which the Value Domains or the Variables on which the Ruleset is defined are declared, and a body, which contains the Rules.
175 175  
176 -In the signature, given the mapping between VTL and SDMX better described in the following paragraphs, a reference to a VTL Value Domain becomes a reference to a SDMX Codelist, while a reference to a VTL Represented Variable becomes a reference to a SDMX Concept, assuming for it a definite representation^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^18^^>>path:#sdfootnote18sym||name="sdfootnote18anc"]](%%)^^.
174 +In the signature, given the mapping between VTL and SDMX better described in the following paragraphs, a reference to a VTL Value Domain becomes a reference to a SDMX Codelist, while a reference to a VTL Represented Variable becomes a reference to a SDMX Concept, assuming for it a definite representation^^[[^^18^^>>path:#sdfootnote18sym||name="sdfootnote18anc"]]^^.
177 177  
178 -In general, for referencing SDMX Codelists and Concepts, the conventions described in the previous paragraphs apply. In the Ruleset syntax, the elements that reference SDMX artefacts are called "valueDomain" and "variable" for the Datapoint Rulesets and "ruleValueDomain", "ruleVariable", "condValueDomain" "condVariable" for the Hierarchical Rulesets). The syntax of the Ruleset signature allows also to define aliases of the elements above, these aliases are valid only within the specific Ruleset definition statement and cannot be mapped to SDMX.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^19^^>>path:#sdfootnote19sym||name="sdfootnote19anc"]](%%)^^
176 +In general, for referencing SDMX Codelists and Concepts, the conventions described in the previous paragraphs apply. In the Ruleset syntax, the elements that reference SDMX artefacts are called "valueDomain" and "variable" for the Datapoint Rulesets and "ruleValueDomain", "ruleVariable", "condValueDomain" "condVariable" for the Hierarchical Rulesets). The syntax of the Ruleset signature allows also to define aliases of the elements above, these aliases are valid only within the specific Ruleset definition statement and cannot be mapped to SDMX.^^[[^^19^^>>path:#sdfootnote19sym||name="sdfootnote19anc"]]^^
179 179  
180 180  In the body of the Rulesets, the Codes and in general all the Values can be written without any other specification, because the artefact, which the Values are referred (Codelist, Concept) to can be deduced from the Ruleset signature.
181 181  
... ... @@ -187,15 +187,15 @@
187 187  
188 188  Every time a SDMX object is referenced in a VTL Transformation as an input operand, there is the need to generate a VTL definition of the object, so that the VTL operations can take place. This can be made starting from the SDMX definition and applying a SDMX-VTL mapping method in the direction from SDMX to VTL. The possible mapping methods from SDMX to VTL are described in the following paragraphs and are conceived to allow the automatic deduction of the VTL definition of the object from the knowledge of the SDMX definition.
189 189  
190 -In the opposite direction, every time an object calculated by means of VTL must be treated as a SDMX object (for example for exchanging it through SDMX), there is the need of a SDMX definition of the object, so that the SDMX operations can take place. The SDMX definition is needed for the VTL objects for which a SDMX use is envisaged^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^20^^>>path:#sdfootnote20sym||name="sdfootnote20anc"]](%%)^^.
188 +In the opposite direction, every time an object calculated by means of VTL must be treated as a SDMX object (for example for exchanging it through SDMX), there is the need of a SDMX definition of the object, so that the SDMX operations can take place. The SDMX definition is needed for the VTL objects for which a SDMX use is envisaged^^[[^^20^^>>path:#sdfootnote20sym||name="sdfootnote20anc"]]^^.
191 191  
192 192  The mapping methods from VTL to SDMX are described in the following paragraphs as well, however they do not allow the complete SDMX definition to be automatically deduced from the VTL definition, more than all because the former typically contains additional information in respect to the latter. For example, the definition of a SDMX DSD includes also some mandatory information not available in VTL (like the concept scheme to which the SDMX components refer, the ‘usage’ and ‘attributeRelationship’ for the DataAttributes and so on). Therefore the mapping methods from VTL to SDMX provide only a general guidance for generating SDMX definitions properly starting from the information available in VTL, independently of how the SDMX definition it is actually generated (manually, automatically or part and part).
193 193  
194 194  === 12.3.2 General mapping of VTL and SDMX data structures ===
195 195  
196 -This section makes reference to the VTL "Model for data and their structure"^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^21^^>>path:#sdfootnote21sym||name="sdfootnote21anc"]](%%)^^ and the correspondent SDMX "Data Structure Definition"^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^22^^>>path:#sdfootnote22sym||name="sdfootnote22anc"]](%%)^^.
194 +This section makes reference to the VTL "Model for data and their structure"^^[[^^21^^>>path:#sdfootnote21sym||name="sdfootnote21anc"]]^^ and the correspondent SDMX "Data Structure Definition"^^[[^^22^^>>path:#sdfootnote22sym||name="sdfootnote22anc"]]^^.
197 197  
198 -The main type of artefact that the VTL can manipulate is the VTL Data Set, which in general is mapped to the SDMX Dataflow. This means that a VTL Transformation, in the SDMX context, expresses the algorithm for calculating a derived Dataflow starting from some already existing Dataflows (either collected or derived).^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^23^^>>path:#sdfootnote23sym||name="sdfootnote23anc"]](%%)^^
196 +The main type of artefact that the VTL can manipulate is the VTL Data Set, which in general is mapped to the SDMX Dataflow. This means that a VTL Transformation, in the SDMX context, expresses the algorithm for calculating a derived Dataflow starting from some already existing Dataflows (either collected or derived).^^[[^^23^^>>path:#sdfootnote23sym||name="sdfootnote23anc"]]^^
199 199  
200 200  While the VTL Transformations are defined in term of Dataflow definitions, they are assumed to be executed on instances of such Dataflows, provided at runtime to the VTL engine (the mechanism for identifying the instances to be processed are not part of the VTL specifications and depend on the implementation of the VTL-based systems). As already said, the SDMX Datasets are instances of SDMX Dataflows, therefore a VTL Transformation defined on some SDMX Dataflows can be applied on some corresponding SDMX Datasets.
201 201  
... ... @@ -234,7 +234,7 @@
234 234  
235 235  In SDMX 2.1 the MeasureDimension was a subclass of DimensionComponent like Dimension and TimeDimension. In the current SDMX version, this subclass does not exist anymore, however a Dimension can have the role of measure dimension (i.e. a Dimension that contributes to the identification of the measures). In SDMX 2.1 a DataStructure could have zero or one MeasureDimensions, in the current version of the standard, from zero to many Dimension may have the role of measure dimension. Hereinafter a Dimension that plays the role of measure dimension is referenced for simplicity as “MeasureDimension“, i.e. maintaining the capital letters and the courier font even if the MeasureDimension is not anymore a class in the SDMX Information Model of the current SDMX version. For the sake of simplicity, the description below considers just one Dimension having the role of MeasureDimension (i.e., the more simple and common case). Nevertheless, it maintains its validity also if in the DataStructure there are more dimension with the role of MeasureDimensions: in this case what is said about the MeasureDimension must be applied to the combination of all the
236 236  
237 -MeasureDimensions considered as a joint variable^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^24^^>>path:#sdfootnote24sym||name="sdfootnote24anc"]](%%)^^.
235 +MeasureDimensions considered as a joint variable^^[[^^24^^>>path:#sdfootnote24sym||name="sdfootnote24anc"]]^^.
238 238  
239 239  Among other things, the Pivot method provides also backward compatibility with the SDMX 2.1 data structures that contained a MeasureDimension.
240 240  
... ... @@ -398,20 +398,20 @@
398 398  
399 399  Until now it has been assumed to map one SMDX Dataflow to one VTL Data Set and vice-versa. This mapping one-to-one is not mandatory according to VTL because a VTL Data Set is meant to be a set of observations (data points) on a logical plane, having the same logical data structure and the same general meaning, independently of the possible physical representation or storage (see VTL 2.0 User Manual page 24), therefore a SDMX Dataflow can be seen either as a unique set of data observations (corresponding to one VTL Data Set) or as the union of many sets of data observations (each one corresponding to a distinct VTL Data Set).
400 400  
401 -As a matter of fact, in some cases it can be useful to define VTL operations involving definite parts of a SDMX Dataflow instead than the whole.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^25^^>>path:#sdfootnote25sym||name="sdfootnote25anc"]](%%)^^
399 +As a matter of fact, in some cases it can be useful to define VTL operations involving definite parts of a SDMX Dataflow instead than the whole.^^[[^^25^^>>path:#sdfootnote25sym||name="sdfootnote25anc"]]^^
402 402  
403 -Therefore, in order to make the coding of VTL operations simpler when applied on parts of SDMX Dataflows, it is allowed to map distinct parts of a SDMX Dataflow to distinct VTL Data Sets according to the following rules and conventions. This kind of mapping is possible both from SDMX to VTL and from VTL to SDMX, as better explained below.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^26^^>>path:#sdfootnote26sym||name="sdfootnote26anc"]](%%)^^
401 +Therefore, in order to make the coding of VTL operations simpler when applied on parts of SDMX Dataflows, it is allowed to map distinct parts of a SDMX Dataflow to distinct VTL Data Sets according to the following rules and conventions. This kind of mapping is possible both from SDMX to VTL and from VTL to SDMX, as better explained below.^^[[^^26^^>>path:#sdfootnote26sym||name="sdfootnote26anc"]]^^
404 404  
405 405  Given a SDMX Dataflow and some predefined Dimensions of its DataStructure, it is allowed to map the subsets of observations that have the same combination of values for such Dimensions to correspondent VTL datasets.
406 406  
407 407  For example, assuming that the SDMX Dataflow DF1(1.0.0) has the Dimensions INDICATOR, TIME_PERIOD and COUNTRY, and that the user declares the Dimensions INDICATOR and COUNTRY as basis for the mapping (i.e. the mapping dimensions): the observations that have the same values for INDICATOR and COUNTRY would be mapped to the same VTL dataset (and vice-versa). In practice, this kind mapping is obtained like follows:
408 408  
409 -* For a given SDMX Dataflow, the user (VTL definer) declares the DimensionComponents on which the mapping will be based, in a given order.^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^27^^>>path:#sdfootnote27sym||name="sdfootnote27anc"]](%%)^^ Following the example above, imagine that the user declares the Dimensions INDICATOR and COUNTRY.
407 +* For a given SDMX Dataflow, the user (VTL definer) declares the DimensionComponents on which the mapping will be based, in a given order.^^[[^^27^^>>path:#sdfootnote27sym||name="sdfootnote27anc"]]^^ Following the example above, imagine that the user declares the Dimensions INDICATOR and COUNTRY.
410 410  * The VTL Data Set is given a name using a special notation also called “ordered concatenation” and composed of the following parts:
411 411  ** The reference to the SDMX Dataflow (expressed according to the rules described in the previous paragraphs, i.e. URN, abbreviated URN or another alias); for example DF(1.0.0);
412 -** a slash (“/”) as a separator; ^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^28^^>>path:#sdfootnote28sym||name="sdfootnote28anc"]](%%)^^
410 +** a slash (“/”) as a separator; ^^[[^^28^^>>path:#sdfootnote28sym||name="sdfootnote28anc"]]^^
413 413  
414 -The reference to a specific part of the SDMX Dataflow above, expressed as the concatenation of the values that the SDMX DimensionComponents declared above must have, separated by dots (“.”) and written in the order in which these DimensionComponents are defined^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^29^^>>path:#sdfootnote29sym||name="sdfootnote29anc"]](%%)^^. For example POPULATION.USA would mean that such a VTL Data Set is mapped to the SDMX observations for which the dimension //INDICATOR// is equal to POPULATION and the dimension //COUNTRY// is equal to USA.
412 +The reference to a specific part of the SDMX Dataflow above, expressed as the concatenation of the values that the SDMX DimensionComponents declared above must have, separated by dots (“.”) and written in the order in which these DimensionComponents are defined^^[[^^29^^>>path:#sdfootnote29sym||name="sdfootnote29anc"]]^^. For example POPULATION.USA would mean that such a VTL Data Set is mapped to the SDMX observations for which the dimension //INDICATOR// is equal to POPULATION and the dimension //COUNTRY// is equal to USA.
415 415  
416 416  In the VTL Transformations, this kind of dataset name must be referenced between single quotes because the slash (“/”) is not a regular character according to the VTL rules.
417 417  
... ... @@ -427,15 +427,15 @@
427 427  
428 428  Let us now analyse the different meaning of this kind of mapping in the two mapping directions, i.e. from SDMX to VTL and from VTL to SDMX.
429 429  
430 -As already said, the mapping from SDMX to VTL happens when the SDMX dataflows are operand of VTL Transformations, instead the mapping from VTL to SDMX happens when the VTL Data Sets that is result of Transformations^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^30^^>>path:#sdfootnote30sym||name="sdfootnote30anc"]](%%)^^ need to be treated as SDMX objects. This kind of mapping can be applied independently in the two directions and the Dimensions on which the mapping is based can be different in the two directions: these Dimensions are defined in the ToVtlSpaceKey and in the FromVtlSpaceKey classes respectively.
428 +As already said, the mapping from SDMX to VTL happens when the SDMX dataflows are operand of VTL Transformations, instead the mapping from VTL to SDMX happens when the VTL Data Sets that is result of Transformations^^[[^^30^^>>path:#sdfootnote30sym||name="sdfootnote30anc"]]^^ need to be treated as SDMX objects. This kind of mapping can be applied independently in the two directions and the Dimensions on which the mapping is based can be different in the two directions: these Dimensions are defined in the ToVtlSpaceKey and in the FromVtlSpaceKey classes respectively.
431 431  
432 432  First, let us see what happens in the __mapping direction from SDMX to VTL__, i.e. when parts of a SDMX Dataflow (e.g. DF1(1.0.0)) need to be mapped to distinct VTL Data Sets that are operand of some VTL Transformations.
433 433  
434 434  As already said, each VTL Data Set is assumed to contain all the observations of the
435 435  
436 -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.
434 +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.
437 437  
438 -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^^[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^31^^>>path:#sdfootnote31sym||name="sdfootnote31anc"]](%%)^^. After that, the mapping method from SDMX to VTL specified for the Dataflow DF1(1.0.0) is applied (i.e.
436 +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^^[[^^31^^>>path:#sdfootnote31sym||name="sdfootnote31anc"]]^^. After that, the mapping method from SDMX to VTL specified for the Dataflow DF1(1.0.0) is applied (i.e.
439 439  
440 440  basic, pivot …).
441 441  
... ... @@ -455,7 +455,7 @@
455 455  
456 456  … … …
457 457  
458 -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" %)^^32^^>>path:#sdfootnote32sym||name="sdfootnote32anc"]](%%)^^
456 +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. ^^[[^^32^^>>path:#sdfootnote32sym||name="sdfootnote32anc"]]^^
459 459  
460 460  In the direction from SDMX to VTL it is allowed to omit the value of one or more
461 461  
... ... @@ -483,12 +483,12 @@
483 483  
484 484  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:
485 485  
486 -* 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" %)^^33^^>>path:#sdfootnote33sym||name="sdfootnote33anc"]](%%)^^
487 -* 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" %)^^34^^>>path:#sdfootnote34sym||name="sdfootnote34anc"]](%%)^^
484 +* each part is calculated as a VTL derived Data Set, result of a dedicated VTL Transformation; ^^[[^^33^^>>path:#sdfootnote33sym||name="sdfootnote33anc"]]^^
485 +* the data structure of all these VTL Data Sets has the TIME_PERIOD identifier and does not have the INDICATOR and COUNTRY identifiers.^^[[^^34^^>>path:#sdfootnote34sym||name="sdfootnote34anc"]]^^
488 488  
489 -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" %)^^35^^>>path:#sdfootnote35sym||name="sdfootnote35anc"]](%%)^^.
487 +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^^[[^^35^^>>path:#sdfootnote35sym||name="sdfootnote35anc"]]^^.
490 490  
491 -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" %)^^36^^>>path:#sdfootnote36sym||name="sdfootnote36anc"]](%%)^^
489 +The corresponding VTL Transformations, assuming that the result needs to be persistent, would be of this kind:^^ [[^^36^^>>path:#sdfootnote36sym||name="sdfootnote36anc"]]^^
492 492  
493 493  ‘DF2(1.0.0)/INDICATORvalue.COUNTRYvalue’ <- expression
494 494  
... ... @@ -544,9 +544,9 @@
544 544  
545 545  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
546 546  
547 -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" %)^^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.
545 +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)^^[[^^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.
548 548  
549 -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" %)^^38^^>>path:#sdfootnote38sym||name="sdfootnote38anc"]](%%)[[(% class="wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink wikiinternallink" %)^^39^^>>path:#sdfootnote39sym||name="sdfootnote39anc"]](%%)^^
547 +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. ^^[[^^38^^>>path:#sdfootnote38sym||name="sdfootnote38anc"]][[^^39^^>>path:#sdfootnote39sym||name="sdfootnote39anc"]]^^
550 550  
551 551  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).
552 552  
... ... @@ -573,13 +573,13 @@
573 573  DimensionComponent, Measure, DataAttribute)
574 574  )))
575 575  |**Described Value Domain**|(((
576 -non-enumerated** &nbsp;&nbsp;&nbsp;Representation**
574 +non-enumerated** &nbsp;&nbsp;&nbsp;Representation**
577 577  
578 578  (having Facets / ExtendedFacets, see the Structure Pattern in the Base Package)
579 579  )))
580 580  |**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
581 -| |(((
582 -to a valid **value &nbsp;&nbsp;&nbsp;**(for non-enumerated** &nbsp;&nbsp;&nbsp;**
579 +||(((
580 +to a valid **value &nbsp;&nbsp;&nbsp;**(for non-enumerated** &nbsp;&nbsp;&nbsp;**
583 583  
584 584  Representations)
585 585  )))
... ... @@ -590,7 +590,7 @@
590 590  
591 591  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).
592 592  
593 -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" %)^^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" %)^^41^^>>path:#sdfootnote41sym||name="sdfootnote41anc"]](%%)^^ This means that one SDMX Concept can correspond to many VTL Variables, one for each representation the Concept has.
591 +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^^[[^^40^^>>path:#sdfootnote40sym||name="sdfootnote40anc"]]^^, while the SDMX Concepts can have different Representations in different DataStructures.^^[[^^41^^>>path:#sdfootnote41sym||name="sdfootnote41anc"]]^^ This means that one SDMX Concept can correspond to many VTL Variables, one for each representation the Concept has.
594 594  
595 595  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
596 596  
... ... @@ -832,37 +832,37 @@
832 832  binary-valued logic: {true, false})
833 833  )))|boolean
834 834  
835 -| |(% colspan="2" %)(((
833 +||(% colspan="2" %)(((
836 836  URI
837 837  
838 838  (corresponds to the XML Schema xs:anyURI; absolute or relative Uniform Resource Identifier Reference)
839 839  )))|(% colspan="2" %)string
840 -| |(% colspan="2" %)(((
838 +||(% colspan="2" %)(((
841 841  Count
842 842  
843 843  (an integer following a sequential pattern, increasing by 1 for each occurrence)
844 844  )))|(% colspan="2" %)integer
845 -| |(% colspan="2" %)(((
843 +||(% colspan="2" %)(((
846 846  InclusiveValueRange
847 847  
848 848  (decimal number within a closed interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
849 849  )))|(% colspan="2" %)number
850 -| |(% colspan="2" %)(((
848 +||(% colspan="2" %)(((
851 851  ExclusiveValueRange
852 852  
853 853  (decimal number within an open interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue)
854 854  )))|(% colspan="2" %)number
855 -| |(% colspan="2" %)(((
853 +||(% colspan="2" %)(((
856 856  Incremental
857 857  
858 858  (decimal number the increased by a specific interval (defined by the interval facet), which is typically enforced outside of the XML validation)
859 859  )))|(% colspan="2" %)number
860 -| |(% colspan="2" %)(((
858 +||(% colspan="2" %)(((
861 861  ObservationalTimePeriod
862 862  
863 863  (superset of StandardTimePeriod and TimeRange)
864 864  )))|(% colspan="2" %)time
865 -| |(% colspan="2" %)(((
863 +||(% colspan="2" %)(((
866 866  StandardTimePeriod
867 867  
868 868  (superset of BasicTimePeriod and
... ... @@ -869,20 +869,20 @@
869 869  
870 870  ReportingTimePeriod)
871 871  )))|(% colspan="2" %)time
872 -| |(% colspan="2" %)(((
870 +||(% colspan="2" %)(((
873 873  BasicTimePeriod
874 874  
875 875  (superset of GregorianTimePeriod and DateTime)
876 876  )))|(% colspan="2" %)date
877 -| |(% colspan="2" %)(((
875 +||(% colspan="2" %)(((
878 878  GregorianTimePeriod
879 879  
880 880  (superset of GregorianYear, GregorianYearMonth, and GregorianDay)
881 881  )))|(% colspan="2" %)date
882 -| |(% colspan="2" %)GregorianYear (YYYY)|(% colspan="2" %)date
883 -| |(% colspan="2" %)GregorianYearMonth / GregorianMonth (YYYY-MM)|(% colspan="2" %)date
884 -| |(% colspan="2" %)GregorianDay (YYYY-MM-DD)|(% colspan="2" %)date
885 -| |(% colspan="2" %)(((
880 +||(% colspan="2" %)GregorianYear (YYYY)|(% colspan="2" %)date
881 +||(% colspan="2" %)GregorianYearMonth / GregorianMonth (YYYY-MM)|(% colspan="2" %)date
882 +||(% colspan="2" %)GregorianDay (YYYY-MM-DD)|(% colspan="2" %)date
883 +||(% colspan="2" %)(((
886 886  ReportingTimePeriod
887 887  
888 888  (superset of RepostingYear, ReportingSemester,
... ... @@ -891,79 +891,79 @@
891 891  
892 892  ReportingMonth, ReportingWeek, ReportingDay)
893 893  )))|(% colspan="2" %)time_period
894 -| |(% colspan="2" %)(((
892 +||(% colspan="2" %)(((
895 895  ReportingYear
896 896  
897 897  (YYYY-A1 – 1 year period)
898 898  )))|(% colspan="2" %)time_period
899 -| |(% colspan="2" %)(((
897 +||(% colspan="2" %)(((
900 900  ReportingSemester
901 901  
902 902  (YYYY-Ss – 6 month period)
903 903  )))|(% colspan="2" %)time_period
904 -| |(% colspan="2" %)(((
902 +||(% colspan="2" %)(((
905 905  ReportingTrimester
906 906  
907 907  (YYYY-Tt – 4 month period)
908 908  )))|(% colspan="2" %)time_period
909 -| |(% colspan="2" %)(((
907 +||(% colspan="2" %)(((
910 910  ReportingQuarter
911 911  
912 912  (YYYY-Qq – 3 month period)
913 913  )))|(% colspan="2" %)time_period
914 -| |(% colspan="2" %)(((
912 +||(% colspan="2" %)(((
915 915  ReportingMonth
916 916  
917 917  (YYYY-Mmm – 1 month period)
918 918  )))|(% colspan="2" %)time_period
919 -| |(% colspan="2" %)ReportingWeek|(% colspan="2" %)time_period
920 -| |(% colspan="2" %) |(% colspan="2" %)
921 -| |(% colspan="2" %) |(% colspan="2" %)
922 -|(% colspan="2" %)(YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|(% colspan="2" %) |
917 +||(% colspan="2" %)ReportingWeek|(% colspan="2" %)time_period
918 +||(% colspan="2" %)|(% colspan="2" %)
919 +||(% colspan="2" %)|(% colspan="2" %)
920 +|(% colspan="2" %)(YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)|(% colspan="2" %)|
923 923  |(% colspan="2" %)(((
924 924  ReportingDay
925 925  
926 926  (YYYY-Dddd – 1 day period)
927 -)))|(% colspan="2" %)time_period|
925 +)))|(% colspan="2" %)time_period|
928 928  |(% colspan="2" %)(((
929 929  DateTime
930 930  
931 931  (YYYY-MM-DDThh:mm:ss)
932 -)))|(% colspan="2" %)date|
930 +)))|(% colspan="2" %)date|
933 933  |(% colspan="2" %)(((
934 934  TimeRange
935 935  
936 936  (YYYY-MM-DD(Thh:mm:ss)?/<duration>)
937 -)))|(% colspan="2" %)time|
935 +)))|(% colspan="2" %)time|
938 938  |(% colspan="2" %)(((
939 939  Month
940 940  
941 941  (~-~-MM; speicifies a month independent of a year; e.g. February is black history month in the United States)
942 -)))|(% colspan="2" %)string|
940 +)))|(% colspan="2" %)string|
943 943  |(% colspan="2" %)(((
944 944  MonthDay
945 945  
946 946  (~-~-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)
947 -)))|(% colspan="2" %)string|
945 +)))|(% colspan="2" %)string|
948 948  |(% colspan="2" %)(((
949 949  Day
950 950  
951 951  (~-~--DD; specifies a day independent of a month or year; e.g. the 15^^th^^ is payday)
952 -)))|(% colspan="2" %)string|
950 +)))|(% colspan="2" %)string|
953 953  |(% colspan="2" %)(((
954 954  Time
955 955  
956 956  (hh:mm:ss; time independent of a date; e.g. coffee break is at 10:00 AM)
957 -)))|(% colspan="2" %)string|
955 +)))|(% colspan="2" %)string|
958 958  |(% colspan="2" %)(((
959 959  Duration
960 960  
961 961  (corresponds to XML Schema xs:duration datatype)
962 -)))|(% colspan="2" %)duration|
963 -|(% colspan="2" %)XHTML|(% colspan="2" %)Metadata type – not applicable|
964 -|(% colspan="2" %)KeyValues|(% colspan="2" %)Metadata type – not applicable|
965 -|(% colspan="2" %)IdentifiableReference|(% colspan="2" %)Metadata type – not applicable|
966 -|(% colspan="2" %)DataSetReference|(% colspan="2" %)Metadata type – not applicable|
960 +)))|(% colspan="2" %)duration|
961 +|(% colspan="2" %)XHTML|(% colspan="2" %)Metadata type – not applicable|
962 +|(% colspan="2" %)KeyValues|(% colspan="2" %)Metadata type – not applicable|
963 +|(% colspan="2" %)IdentifiableReference|(% colspan="2" %)Metadata type – not applicable|
964 +|(% colspan="2" %)DataSetReference|(% colspan="2" %)Metadata type – not applicable|
967 967  
968 968  ==== Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types ====
969 969  
... ... @@ -1012,13 +1012,13 @@
1012 1012  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.
1013 1013  
1014 1014  |(% colspan="2" %)VTL special characters for the formatting masks
1015 -|(% colspan="2" %)
1013 +|(% colspan="2" %)
1016 1016  |(% colspan="2" %)Number
1017 1017  |D|one numeric digit (if the scientific notation is adopted, D is only for the mantissa)
1018 1018  |E|one numeric digit (for the exponent of the scientific notation)
1019 1019  |. (dot)|possible separator between the integer and the decimal parts.
1020 1020  |, (comma)|possible separator between the integer and the decimal parts.
1021 -| |
1019 +||
1022 1022  |(% colspan="2" %)Time and duration
1023 1023  |C|century
1024 1024  |Y|year
... ... @@ -1040,17 +1040,17 @@
1040 1040  |Day|lowercase textual representation of the month (e.g., monday)
1041 1041  |Month|First character uppercase, then lowercase textual representation of the month (e.g., January)
1042 1042  |Day|First character uppercase, then lowercase textual representation of the day using (e.g. Monday)
1043 -| |
1041 +||
1044 1044  |(% colspan="2" %)String
1045 1045  |X|any string character
1046 1046  |Z|any string character from "A" to "z"
1047 1047  |9|any string character from "0" to "9"
1048 -| |
1046 +||
1049 1049  |(% colspan="2" %)Boolean
1050 1050  |B|Boolean using "true" for True and "false" for False
1051 1051  |1|Boolean using "1" for True and "0" for False
1052 1052  |0|Boolean using "0" for True and "1" for False
1053 -| |
1051 +||
1054 1054  |(% colspan="2" %)Other qualifiers
1055 1055  |*|an arbitrary number of digits (of the preceding type)
1056 1056  |+|at least one digit (of the preceding type)
... ... @@ -1057,9 +1057,9 @@
1057 1057  |( )|optional digits (specified within the brackets)
1058 1058  |\|prefix for the special characters that must appear in the mask
1059 1059  |N|fixed number of digits used in the preceding textual representation of the month or the day
1060 -| |
1058 +||
1061 1061  
1062 -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" %)^^42^^>>path:#sdfootnote42sym||name="sdfootnote42anc"]](%%)^^.
1060 +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^^[[^^42^^>>path:#sdfootnote42sym||name="sdfootnote42anc"]]^^.
1063 1063  
1064 1064  === 12.4.5 Null Values ===
1065 1065  
... ... @@ -1082,5 +1082,3 @@
1082 1082  TransformationScheme.
1083 1083  
1084 1084  In case a literal is operand of a VTL Cast operation, the format specified in the Cast overrides all the possible otherwise specified formats.
1085 -
1086 -{{putFootnotes/}}