From b6c18b7ac782b4c91c24a0d48d03f3f96bbe8eb8 Mon Sep 17 00:00:00 2001 From: Michael Beckerle Date: Thu, 13 Feb 2025 15:39:57 -0500 Subject: [PATCH] Lookahead experience doc added --- .../DFDL-Experimental-Features-Index.md | 35 ++-- .../gwde-dfdl-experience-10-lookahead.md | 151 ++++++++++++++++++ 2 files changed, 169 insertions(+), 17 deletions(-) create mode 100644 docs/current/gwde-dfdl-experience-10-lookahead.md diff --git a/docs/current/DFDL-Experimental-Features-Index.md b/docs/current/DFDL-Experimental-Features-Index.md index 5683b27..77393e1 100644 --- a/docs/current/DFDL-Experimental-Features-Index.md +++ b/docs/current/DFDL-Experimental-Features-Index.md @@ -1,19 +1,20 @@ # DFDL Experimental Features -| No | Title | Action | GitHub Issue | Implementor | Experience Document | Release | -| -- | ----- | ------ | -------------- | ----------- | ------------------- | ------- | -| 1 | Experimental feature mechanism | 301 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwdi-experimental-features-conventions.docx | 1.0 | -| 2 | Elements of type 'xs:hexBinary' with lengthUnits 'bits' | 292 | https://github.com/OpenGridForum/DFDL/issues/12 | Apache Daffodil | | 2.0 candidate | -| 3 | Variable Path Step in DFDL expression | 287 | https://github.com/OpenGridForum/DFDL/issues/13 | ESA DFDL4S | | 2.0 candidate | -| 4 | BLOBs as URIs in infoset | 312 | https://github.com/OpenGridForum/DFDL/issues/15 | Apache Daffodil | | 2.0 candidate | -| 5 | Data streaming layers | 304 | https://github.com/OpenGridForum/DFDL/issues/11 | Apache Daffodil | | 2.0 candidate | -| 6 | Interoperability | 307 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-6-v0.1-interoperability.docx | 1.0 | -| 7 | Empty element parse policy | 306 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-7-emptyElementParsePolicy.docx | 1.0 | -| 8 | Integer enums as strings in infoset| 301 | https://github.com/OpenGridForum/DFDL/issues/14 | Apache Daffodil | | 2.0 candidate | -| 10 | Indirection using pointers | 301 | https://github.com/OpenGridForum/DFDL/issues/17 | IBM z/TPF | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-8-experimental-indirection.docx | 2.0 candidate | -| 11 | User-defined functions | 301 | https://github.com/OpenGridForum/DFDL/issues/21 | Apache Daffodil | | 2.0 candidate | -| 12 | Unparser forward reference variables | 301 | https://github.com/OpenGridForum/DFDL/issues/22 | Apache Daffodil | | 2.0 candidate | -| 13 | Handle embedded XML & JSON in natural way | 301 | https://github.com/OpenGridForum/DFDL/issues/27 | Apache Daffodil | | 2.0 candidate | -| 14 | Additional binary number formats | 329 | https://github.com/OpenGridForum/DFDL/issues/36 | Apache Daffodil | | 2.0 candidate | -| 15 | Provide a default choice dispatch branch | 327 | https://github.com/OpenGridForum/DFDL/issues/34 | Apache Daffodil & IBM z/TPF| | 2.0 candidate | -| 16 | Lookahead function | 344 | https://github.com/OpenGridForum/DFDL/issues/66 | Apache Daffodil | | 2.0 Candidate | +| No | Title | Action | GitHub Issue | Implementor | Experience Document | Release | +|----|---------------------------------------------------------|--------|-------------------------------------------------| ----------- |-------------------------------------------------------------------------------------------------------------------------------| ------- | +| 1 | Experimental feature mechanism | 301 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwdi-experimental-features-conventions.docx | 1.0 | +| 2 | Elements of type 'xs:hexBinary' with lengthUnits 'bits' | 292 | https://github.com/OpenGridForum/DFDL/issues/12 | Apache Daffodil | | 2.0 candidate | +| 3 | Variable Path Step in DFDL expression | 287 | https://github.com/OpenGridForum/DFDL/issues/13 | ESA DFDL4S | | 2.0 candidate | +| 4 | BLOBs as URIs in infoset | 312 | https://github.com/OpenGridForum/DFDL/issues/15 | Apache Daffodil | | 2.0 candidate | +| 5 | Data streaming layers | 304 | https://github.com/OpenGridForum/DFDL/issues/11 | Apache Daffodil | | 2.0 candidate | +| 6 | Interoperability | 307 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-6-v0.1-interoperability.docx | 1.0 | +| 7 | Empty element parse policy | 306 | N/A | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-7-emptyElementParsePolicy.docx | 1.0 | +| 8 | Integer enums as strings in infoset | 301 | https://github.com/OpenGridForum/DFDL/issues/14 | Apache Daffodil | | 2.0 candidate | +| 10 | Indirection using pointers | 301 | https://github.com/OpenGridForum/DFDL/issues/17 | IBM z/TPF | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-8-experimental-indirection.docx | 2.0 candidate | +| 11 | User-defined functions | 301 | https://github.com/OpenGridForum/DFDL/issues/21 | Apache Daffodil | | 2.0 candidate | +| 12 | Unparser forward reference variables | 301 | https://github.com/OpenGridForum/DFDL/issues/22 | Apache Daffodil | | 2.0 candidate | +| 13 | Handle embedded XML & JSON in natural way | 301 | https://github.com/OpenGridForum/DFDL/issues/27 | Apache Daffodil | | 2.0 candidate | +| 14 | Additional binary number formats | 329 | https://github.com/OpenGridForum/DFDL/issues/36 | Apache Daffodil | | 2.0 candidate | +| 15 | Provide a default choice dispatch branch | 327 | https://github.com/OpenGridForum/DFDL/issues/34 | Apache Daffodil & IBM z/TPF| | 2.0 candidate | +| 16 | Lookahead function | - | https://github.com/OpenGridForum/DFDL/issues/66 | Apache Daffodil | https://github.com/OpenGridForum/DFDL/blob/master/docs/current/gwde-dfdl-experience-10-lookahead.docx | 2.0 Candidate | +| 17 | Layer Extension | - | https://github.com/OpenGridForum/DFDL/issues/72 | Apache Daffodil | | 2.0 Candidate | diff --git a/docs/current/gwde-dfdl-experience-10-lookahead.md b/docs/current/gwde-dfdl-experience-10-lookahead.md new file mode 100644 index 0000000..42bc2e2 --- /dev/null +++ b/docs/current/gwde-dfdl-experience-10-lookahead.md @@ -0,0 +1,151 @@ +GWD-E +OGF DFDL WG +dfdl-wg@lists.ogf.org +2025-02-13 + +----- + +#

Data Format Description Language (DFDL) v1.0
Experience Document 10

Lookahead Feature + +----- + +### Status of This Document + +Grid Working Document (GWD) + +### Copyright Notice + +Copyright © Open Grid Forum 2025. Some Rights Reserved. Distribution is unlimited. + +### Abstract + +This document provides experience information about an experimental Lookahead feature. +The feature has been prototyped in Apache Daffodil. +It is intended to inform the design of a DFDL language feature for a future revision of +the DFDL standard. + +----- + +## Introduction + +This document describes a proposed new function for use in DFDL: +the `dfdl:lookAhead` function. + +## Motivation + +It is often necessary to look ahead in a data stream in order to make data parsing decisions. +This is particularly true in fixed-length data formats which must reuse existing space in the data +while accommodating evolution to extend functionality. + +The scenario by which this happens is described below. + +![][image_ref_1] +![][image_ref_2] + +## Proposed `dfdl:lookAhead` Function + + +`dfdl:lookAhead(offset, bitSize)` + +: Read `bitSize` bits, where the first bit is located at an `offset` (in bits) +from the current location. The result is a `xs:nonNegativeInteger`. + +Restrictions: + +- offset >=0 +- bitSize >= 1 +- distance + bitSize <= Implementation defined limit no less than 512 bits +- Cannot be called during unparse +- Parse Error if the offset results in attempting to look ahead past EOF +- Undefined behavior if the offset results in attempting to look past the current data limit of + a `dfdl:lengthKind="explicit"` surrounding element. +- The `dfdl:bitOrder` and `dfdl:byteOrder` are determined by the current schema component + and data location. +- DFDL property changes between the current location and the location containing + the data being read will not be used. + +#### Examples of `dfdl:lookAhead` +The following two elements both populate element `a` with the value of the next 3 bits as an +unsignedInt. They are not completely equivalent because the first will consume 3 bits of the +input stream where the second will not advance the input stream. +```xml + + + +``` +The following example demonstrates using lookAhead to branch based on a field in the future. +In this case the choice of elements `a` vs. `b` depends on the value of the `tag` field which is +found after fields `a` and `b`: +``` + + + + + +``` + +## Implementation +This feature is implemented as `dfdlx:lookAhead` in Apache Daffodil and is in extensive use in +numerous DFDL schemas that require it. + +### Security Considerations + +None known. + +### Contributors + +Michael J. Beckerle +Owl Cyber Defense, LLC & Apache Software Foundation +mbeckerle@apache.org + +### Intellectual Property Statement +The OGF takes no position regarding the validity or scope of any intellectual property or other +rights that might be claimed to pertain to the implementation or use of the technology described +in this document or the extent to which any license under such rights might or might not be +available; neither does it represent that it has made any effort to identify any such rights. +Copies of claims of rights made available for publication and any assurances of licenses to be made +available, or the result of an attempt made to obtain a general license or permission for the use +of such proprietary rights by implementers or users of this specification can be obtained from the +OGF Secretariat. + +The OGF invites any interested party to bring to its attention any copyrights, patents or patent +applications, or other proprietary rights which may cover technology that may be required to +practice this recommendation. +Please address the information to the OGF Executive Director. + +### Disclaimer +This document and the information contained herein is provided on an “As Is” basis and the OGF +disclaims all warranties, express or implied, including but not limited to any warranty that the +use of the information herein will not infringe any rights or any implied warranties of +merchantability or fitness for a particular purpose. + +### Full Copyright Notice + +Copyright (C) Open Grid Forum (2025). Some Rights Reserved. + +This document and translations of it may be copied and furnished to others, and derivative works +that comment on or otherwise explain it or assist in its implementation may be prepared, copied, +published and distributed, in whole or in part, without restriction of any kind, provided that the +above copyright notice and this paragraph are included as references to the derived portions on all +such copies and derivative works. +The published OGF document from which such works are derived, however, may not be modified in any +way, such as by removing the copyright notice or references to the OGF or other organizations, +except as needed for the purpose of developing new or updated OGF documents in conformance with the +procedures defined in the OGF Document Process, or as required to translate it into languages other +than English. OGF, with the approval of its board, may remove this restriction for inclusion of OGF +document content for the purpose of producing standards in cooperation with other international +standards bodies. + +The limited permissions granted above are perpetual and will not be revoked by the OGF or its +successors or assignees. + +### References + +[DFDL] OGF DFDL 1.0 specification +http://www.ogf.org/documents/GFD.240.pdf/ + +[image_ref_1]: 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