Changes for page 12 Validation and Transformation Language (VTL)
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... ... @@ -19,6 +19,7 @@ 19 19 This section does not explain the VTL language or any of the content published in the VTL guides. Rather, this is a description of how the VTL can be used in the SDMX context and applied to SDMX artefacts. 20 20 21 21 == 12.2 References to SDMX artefacts from VTL statements == 22 + 22 22 === 12.2.1 Introduction === 23 23 24 24 The VTL can manipulate SDMX artefacts (or objects) by referencing them through predefined conventional names (aliases). ... ... @@ -48,10 +48,8 @@ 48 48 49 49 The generic structure of the URN is the following: 50 50 51 -SDMXprefix.SDMX-IM-package-name.class-name=agency-id:maintainedobject-id 52 +SDMXprefix.SDMX-IM-package-name.class-name=agency-id:maintainedobject-id (maintainedobject-version).*container-object-id.object-id 52 52 53 -(maintainedobject-version).*container-object-id.object-id 54 - 55 55 The **SDMXprefix** is "urn:sdmx:org", always the same for all SDMX artefacts. 56 56 57 57 The SDMX-IM-package-name** **is the concatenation of the string** **"sdmx.infomodel." with the package-name, which the artefact belongs to. For example, for referencing a Dataflow the SDMX-IM-package-name is "sdmx.infomodel.datastructure", because the class Dataflow belongs to the package "datastructure". ... ... @@ -72,24 +72,19 @@ 72 72 73 73 The maintainedobject-version is the version, according to the SDMX versioning rules, of the maintained object which the artefact belongs to (for example, possible versions might be 1.0, 2.3, 1.0.0, 2.1.0 or 3.1.2). 74 74 75 -The container-object-id does not apply to the classes that can be referenced in VTL Transformations, therefore is not present in their URN 74 +The container-object-id does not apply to the classes that can be referenced in VTL Transformations, therefore is not present in their URN. 76 76 77 77 The object-id is the name of the non-maintainable artefact (when the artefact is maintainable its name is already specified as the maintainedobject-id, see above), in particular it has to be specified: 78 78 79 -* if the artefact is a Dimension, TimeDimension, Measure or 80 - 81 -DataAttribute (the object-id is the name of one of the artefacts above, which are data structure components) 82 - 78 +* 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) 83 83 * if the artefact is a Concept (the object-id is the name of the Concept) 84 84 85 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{{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}}: 86 86 87 -'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DFR(1.0.0)' <- 83 +>(% style="font-size:16px" %) 'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DFR(1.0.0)' <- 84 +>(% style="font-size:16px" %) 'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DF1(1.0.0)' + 85 +>(% style="font-size:16px" %) 'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DF2(1.0.0)' 88 88 89 -'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DF1(1.0.0)' + 90 - 91 -'urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=AG:DF2(1.0.0)' 92 - 93 93 === 12.2.3 Abbreviation of the URN === 94 94 95 95 The complete formulation of the URN described above is exhaustive but verbose, even for very simple statements. In order to reduce the verbosity through a simplified identifier and make the work of transformation definers easier, proper abbreviations of the URN are possible. Using this approach, the referenced artefacts remain intelligible in the VTL code by a human reader. ... ... @@ -98,7 +98,9 @@ 98 98 99 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. 100 100 * The SDMX-IM-package-name** **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: 101 -** "datastructure" for the classes Dataflow, Dimension, TimeDimension, Measure, DataAttribute, o "conceptscheme" for the class Concept, o "codelist" for the class Codelist. 95 +** "datastructure" for the classes Dataflow, Dimension, TimeDimension, Measure, DataAttribute, 96 +** "conceptscheme" for the class Concept, 97 +** "codelist" for the class Codelist. 102 102 * 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{{footnote}}For the syntax of the VTL operators see the VTL Reference Manual{{/footnote}}, the SDMX class can be deduced from the mapping rules between VTL and SDMX (see the section "Mapping between VTL and SDMX" hereinafter){{footnote}}In case the invoked artefact is a VTL component, which can be invoked only within the invocation of a VTL data set (SDMX Dataflow), the specific SDMX class-name (e.g. Dimension, TimeDimension, Measure or DataAttribute) can be deduced from the data structure of the SDMX Dataflow, which the component belongs to.{{/footnote}}. 103 103 * 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{{footnote}}If the Agency is composite (for example AgencyA.Dept1.Unit2), the agency is considered different even if only part of the composite name is different (for example AgencyA.Dept1.Unit3 is a different Agency than the previous one). Moreover the agency-id cannot be omitted in part (i.e., if a TransformationScheme owned by AgencyA.Dept1.Unit2 references an artefact coming from AgencyA.Dept1.Unit3, the specification of the agency-id becomes mandatory and must be complete, without omitting the possibly equal parts like AgencyA.Dept1){{/footnote}}. 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). 104 104 * 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; ... ... @@ -180,6 +180,7 @@ 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. 181 181 182 182 == 12.3 Mapping between SDMX and VTL artefacts == 179 + 183 183 === 12.3.1. When the mapping occurs === 184 184 185 185 The mapping methods between the VTL and SDMX object classes allow transforming a SDMX definition in a VTL one and vice-versa for the artefacts to be manipulated. It should be remembered that VTL programs (i.e. Transformation Schemes) are represented in SDMX through the TransformationScheme maintainable class which is composed of Transformations (nameable artefacts). Each Transformation assigns the outcome of the evaluation of a VTL expression to a result: the input operands of the expression and the result can be SDMX artefacts. 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. ... ... @@ -463,13 +463,10 @@ 463 463 Some examples follow, for some specific values of INDICATOR and COUNTRY: 464 464 465 465 ‘DF2(1.0.0)/GDPPERCAPITA.USA’ <- expression11; ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ <- expression12; 466 - 467 467 … … … 468 468 469 469 ‘DF2(1.0.0)/POPGROWTH.USA’ <- expression21; 470 - 471 471 ‘DF2(1.0.0)/POPGROWTH.CANADA’ <- expression22; 472 - 473 473 … … … 474 474 475 475 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: ... ... @@ -476,13 +476,9 @@ 476 476 477 477 VTL dataset INDICATOR value COUNTRY value 478 478 479 - 480 480 ‘DF2(1.0.0)/GDPPERCAPITA.USA’ GDPPERCAPITA USA 481 - 482 482 ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ GDPPERCAPITA CANADA … … … 483 - 484 484 ‘DF2(1.0.0)/POPGROWTH.USA’ POPGROWTH USA 485 - 486 486 ‘DF2(1.0.0)/POPGROWTH.CANADA’ POPGROWTH CANADA 487 487 488 488 … … … ... ... @@ -490,25 +490,15 @@ 490 490 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: 491 491 492 492 DF2bis_GDPPERCAPITA_USA := ‘DF2(1.0.0)/GDPPERCAPITA.USA’ [calc identifier INDICATOR := ”GDPPERCAPITA”, identifier COUNTRY := ”USA”]; 493 - 494 494 DF2bis_GDPPERCAPITA_CANADA := ‘DF2(1.0.0)/GDPPERCAPITA.CANADA’ [calc identifier INDICATOR:=”GDPPERCAPITA”, identifier COUNTRY:=”CANADA”]; … … … 495 - 496 496 DF2bis_POPGROWTH_USA := ‘DF2(1.0.0)/POPGROWTH.USA’ 497 - 498 498 [calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”USA”]; 499 - 500 500 DF2bis_POPGROWTH_CANADA’ := ‘DF2(1.0.0)/POPGROWTH.CANADA’ [calc identifier INDICATOR := ”POPGROWTH”, identifier COUNTRY := ”CANADA”]; … … … 501 - 502 502 DF2(1.0) <- UNION (DF2bis_GDPPERCAPITA_USA’, 503 - 504 504 DF2bis_GDPPERCAPITA_CANADA’, 505 - 506 506 … , 507 - 508 508 DF2bis_POPGROWTH_USA’, 509 - 510 510 DF2bis_POPGROWTH_CANADA’ 511 - 512 512 …); 513 513 514 514 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. ... ... @@ -517,9 +517,7 @@ 517 517 518 518 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). 519 519 520 -1. 521 -11. 522 -111. Mapping variables and value domains between VTL and SDMX 500 +=== 12.3.7 Mapping variables and value domains between VTL and SDMX === 523 523 524 524 With reference to the VTL “model for Variables and Value domains”, the following additional mappings have to be considered: 525 525 ... ... @@ -528,7 +528,6 @@ 528 528 |**Represented Variable**|**Concept** with a definite Representation 529 529 |**Value Domain**|((( 530 530 **Representation** (see the Structure 531 - 532 532 Pattern in the Base Package) 533 533 ))) 534 534 |**Enumerated Value Domain / Code List**|**Codelist** ... ... @@ -535,7 +535,6 @@ 535 535 |**Code**|**Code** (for enumerated DimensionComponent, Measure, DataAttribute) 536 536 |**Described Value Domain**|((( 537 537 non-enumerated** Representation** 538 - 539 539 (having Facets / ExtendedFacets, see the Structure Pattern in the Base Package) 540 540 ))) 541 541 |**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 ... ... @@ -559,10 +559,10 @@ 559 559 560 560 It remains up to the SDMX-VTL definer also the assurance of the consistency between a VTL Ruleset defined on Variables and the SDMX Components on which the Ruleset is applied. In fact, a VTL Ruleset is expressed by means of the values of the Variables (i.e. SDMX Concepts), i.e. assuming definite representations for them (e.g. ISOalpha-3 for country). If the Ruleset is applied to SDMX Components that have the same name of the Concept they refer to but different representations (e.g. ISO-alpha-2 for country), the Ruleset cannot work properly. 561 561 562 -1. 563 -11. Mapping between SDMX and VTL Data Types 564 -111. VTL Data types 538 +== 12.4 Mapping between SDMX and VTL Data Types == 565 565 540 +=== 12.4.1 VTL Data types === 541 + 566 566 According to the VTL User Guide the possible operations in VTL depend on the data types of the artefacts. For example, numbers can be multiplied but text strings cannot. In the VTL Transformations, the compliance between the operators and the data types of their operands is statically checked, i.e., violations result in compile-time errors. 567 567 568 568 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: ... ... @@ -569,17 +569,15 @@ 569 569 570 570 [[image:1750067055028-964.png]] 571 571 572 - ====Figure 22 – VTL Data Types====548 +**Figure 22 – VTL Data Types** 573 573 574 574 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. 575 575 576 576 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): 577 577 578 - ====Figure 23 – VTL Basic Scalar Types====554 +**Figure 23 – VTL Basic Scalar Types** 579 579 580 -1. 581 -11. 582 -111. VTL basic scalar types and SDMX data types 556 +=== 12.4.2 VTL basic scalar types and SDMX data types === 583 583 584 584 The VTL assumes that a basic scalar type has a unique internal representation and can have more external representations. 585 585 ... ... @@ -597,9 +597,7 @@ 597 597 598 598 The opposite conversion, i.e. from VTL to SDMX, happens when a VTL result, i.e. a VTL Data Set output of a Transformation, must become a SDMX artefact (or part of it). The values of the VTL result must be converted into the desired (SDMX) external representations (data types) of the SDMX artefact. 599 599 600 -1. 601 -11. 602 -111. Mapping SDMX data types to VTL basic scalar types 574 +=== 12.4.3 Mapping SDMX data types to VTL basic scalar types === 603 603 604 604 The following table describes the default mapping for converting from the SDMX data types to the VTL basic scalar types. 605 605 ... ... @@ -606,7 +606,6 @@ 606 606 |SDMX data type (BasicComponentDataType)|Default VTL basic scalar type 607 607 |((( 608 608 String 609 - 610 610 (string allowing any character) 611 611 )))|string 612 612 |((( ... ... @@ -616,7 +616,6 @@ 616 616 )))|string 617 617 |((( 618 618 AlphaNumeric 619 - 620 620 (string which only allows A-z and 0-9) 621 621 )))|string 622 622 |((( ... ... @@ -626,89 +626,70 @@ 626 626 )))|string 627 627 |((( 628 628 BigInteger 629 - 630 630 (corresponds to XML Schema xs:integer datatype; infinite set of integer values) 631 631 )))|integer 632 632 |((( 633 633 Integer 634 - 635 635 (corresponds to XML Schema xs:int datatype; between -2147483648 and +2147483647 636 - 637 637 (inclusive)) 638 638 )))|integer 639 639 |((( 640 640 Long 641 - 642 642 (corresponds to XML Schema xs:long datatype; between -9223372036854775808 and 643 - 644 644 +9223372036854775807 (inclusive)) 645 645 )))|integer 646 646 |((( 647 647 Short 648 - 649 649 (corresponds to XML Schema xs:short datatype; between -32768 and -32767 (inclusive)) 650 650 )))|integer 651 651 |Decimal (corresponds to XML Schema xs:decimal datatype; subset of real numbers that can be represented as decimals)|number 652 652 |((( 653 653 Float 654 - 655 655 (corresponds to XML Schema xs:float datatype; patterned after the IEEE single-precision 32-bit floating point type) 656 656 )))|number 657 657 |((( 658 658 Double 659 - 660 660 (corresponds to XML Schema xs:double datatype; patterned after the IEEE double-precision 64-bit floating point type) 661 661 )))|number 662 662 |((( 663 663 Boolean 664 - 665 665 (corresponds to the XML Schema xs:boolean datatype; support the mathematical concept of 666 - 667 667 binary-valued logic: {true, false}) 668 668 )))|boolean 669 669 |((( 670 670 URI 671 - 672 672 (corresponds to the XML Schema xs:anyURI; absolute or relative Uniform Resource Identifier Reference) 673 673 )))|string 674 674 |((( 675 675 Count 676 - 677 677 (an integer following a sequential pattern, increasing by 1 for each occurrence) 678 678 )))|integer 679 679 |((( 680 680 InclusiveValueRange 681 - 682 682 (decimal number within a closed interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue) 683 683 )))|number 684 684 |((( 685 685 ExclusiveValueRange 686 - 687 687 (decimal number within an open interval, whose bounds are specified in the SDMX representation by the facets minValue and maxValue) 688 688 )))|number 689 689 |((( 690 690 Incremental 691 - 692 692 (decimal number the increased by a specific interval (defined by the interval facet), which is typically enforced outside of the XML validation) 693 693 )))|number 694 694 |((( 695 695 ObservationalTimePeriod 696 - 697 697 (superset of StandardTimePeriod and TimeRange) 698 698 )))|time 699 699 |((( 700 700 StandardTimePeriod 701 - 702 702 (superset of BasicTimePeriod and ReportingTimePeriod) 703 703 )))|time 704 704 |((( 705 705 BasicTimePeriod 706 - 707 707 (superset of GregorianTimePeriod and DateTime) 708 708 )))|date 709 709 |((( 710 710 GregorianTimePeriod 711 - 712 712 (superset of GregorianYear, GregorianYearMonth, and GregorianDay) 713 713 )))|date 714 714 |GregorianYear (YYYY)|date ... ... @@ -716,32 +716,26 @@ 716 716 |GregorianDay (YYYY-MM-DD)|date 717 717 |((( 718 718 ReportingTimePeriod 719 - 720 720 (superset of RepostingYear, ReportingSemester, ReportingTrimester, ReportingQuarter, ReportingMonth, ReportingWeek, ReportingDay) 721 721 )))|time_period 722 722 |((( 723 723 ReportingYear 724 - 725 725 (YYYY-A1 – 1 year period) 726 726 )))|time_period 727 727 |((( 728 728 ReportingSemester 729 - 730 730 (YYYY-Ss – 6 month period) 731 731 )))|time_period 732 732 |((( 733 733 ReportingTrimester 734 - 735 735 (YYYY-Tt – 4 month period) 736 736 )))|time_period 737 737 |((( 738 738 ReportingQuarter 739 - 740 740 (YYYY-Qq – 3 month period) 741 741 )))|time_period 742 742 |((( 743 743 ReportingMonth 744 - 745 745 (YYYY-Mmm – 1 month period) 746 746 )))|time_period 747 747 |ReportingWeek|time_period ... ... @@ -748,42 +748,34 @@ 748 748 | (YYYY-Www – 7 day period; following ISO 8601 definition of a week in a year)| 749 749 |((( 750 750 ReportingDay 751 - 752 752 (YYYY-Dddd – 1 day period) 753 753 )))|time_period 754 754 |((( 755 755 DateTime 756 - 757 757 (YYYY-MM-DDThh:mm:ss) 758 758 )))|date 759 759 |((( 760 760 TimeRange 761 - 762 762 (YYYY-MM-DD(Thh:mm:ss)?/<duration>) 763 763 )))|time 764 764 |((( 765 765 Month 766 - 767 767 (~-~-MM; speicifies a month independent of a year; e.g. February is black history month in the United States) 768 768 )))|string 769 769 |((( 770 770 MonthDay 771 - 772 772 (~-~-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) 773 773 )))|string 774 774 |((( 775 775 Day 776 - 777 777 (~-~--DD; specifies a day independent of a month or year; e.g. the 15^^th^^ is payday) 778 778 )))|string 779 779 |((( 780 780 Time 781 - 782 782 (hh:mm:ss; time independent of a date; e.g. coffee break is at 10:00 AM) 783 783 )))|string 784 784 |((( 785 785 Duration 786 - 787 787 (corresponds to XML Schema xs:duration datatype) 788 788 )))|duration 789 789 |XHTML|Metadata type – not applicable ... ... @@ -791,27 +791,20 @@ 791 791 |IdentifiableReference|Metadata type – not applicable 792 792 |DataSetReference|Metadata type – not applicable 793 793 794 - додол731 +**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types** 795 795 796 -==== Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types ==== 797 - 798 798 When VTL takes in input SDMX artefacts, it is assumed that a type conversion according to the table above always happens. In case a different VTL basic scalar type is desired, it can be achieved in the VTL program taking in input the default VTL basic scalar type above and applying to it the VTL type conversion features (see the implicit and explicit type conversion and the "cast" operator in the VTL Reference Manual). 799 799 800 -1. 801 -11. 802 -111. Mapping VTL basic scalar types to SDMX data types 735 +=== 12.4.4 Mapping VTL basic scalar types to SDMX data types === 803 803 804 804 The following table describes the default conversion from the VTL basic scalar types to the SDMX data types . 805 805 806 806 |((( 807 807 VTL basic 808 - 809 809 scalar type 810 810 )))|((( 811 811 Default SDMX data type 812 - 813 813 (BasicComponentDataType 814 - 815 815 ) 816 816 )))|Default output format 817 817 |String|String|Like XML (xs:string) ... ... @@ -821,17 +821,15 @@ 821 821 |Time|StandardTimePeriod|<date>/<date> (as defined above) 822 822 |time_period|((( 823 823 ReportingTimePeriod 824 - 825 825 (StandardReportingPeriod) 826 826 )))|((( 827 827 YYYY-Pppp 828 - 829 829 (according to SDMX ) 830 830 ))) 831 831 |Duration|Duration|Like XML (xs:duration) PnYnMnDTnHnMnS 832 832 |Boolean|Boolean|Like XML (xs:boolean) with the values "true" or "false" 833 833 834 - ====Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types====762 +**Figure 14 – Mappings from SDMX data types to VTL Basic Scalar Types** 835 835 836 836 In case a different default conversion is desired, it can be achieved through the CustomTypeScheme and CustomType artefacts (see also the section 837 837 ... ... @@ -889,17 +889,13 @@ 889 889 890 890 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}}. 891 891 892 -1. 893 -11. 894 -111. Null Values 820 +=== 12.4.3 Null Values === 895 895 896 896 In the conversions from SDMX to VTL it is assumed by default that a missing value in SDMX becomes a NULL in VTL. After the conversion, the NULLs can be manipulated through the proper VTL operators. 897 897 898 898 On the other side, the VTL programs can produce in output NULL values for Measures and Attributes (Null values are not allowed in the Identifiers). In the conversion from VTL to SDMX, it is assumed that a NULL in VTL becomes a missing value in SDMX. In the conversion from VTL to SDMX, the default assumption can be overridden, separately for each VTL basic scalar type, by specifying which the value that represents the NULL in SDMX is. This can be specified in the attribute "nullValue" of the CustomType artefact (see also the section Transformations and Expressions of the SDMX information model). A CustomType belongs to a CustomTypeScheme, which can be referenced by one or more TransformationScheme (i.e. VTL programs). The overriding assumption is applied for all the SDMX Dataflows calculated in the TransformationScheme. 899 899 900 -1. 901 -11. 902 -111. Format of the literals used in VTL Transformations 826 +=== 12.4.5 Format of the literals used in VTL Transformations === 903 903 904 904 The VTL programs can contain literals, i.e. specific values of certain data types written directly in the VTL definitions or expressions. The VTL does not prescribe a specific format for the literals and leave the specific VTL systems and the definers of VTL Transformations free of using their preferred formats. 905 905 ... ... @@ -913,7 +913,6 @@ 913 913 914 914 In case a literal is operand of a VTL Cast operation, the format specified in the Cast overrides all the possible otherwise specified formats. 915 915 916 - 917 917 ---- 918 918 919 919 {{putFootnotes/}}