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Accelerate agentic planning with trusted data productsAccelerate agentic planning with trusted data productsGoverned data products as the ground for AI planning in SAP Analytics Cloud: using a ready data product or building one in SAP Business Data Cloud, the cataloguing and lineage concern, then agentic AI automating planning tasks and producing insights on top. The abstract names the two products and the data product step and does not say which planning tasks the agents take over. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Jie Deng, Maximilian Paul Gander and Richard Mooney, written here from SAP's abstract; the recording is not yet published.
Agent-to-agent in action: SAP and Adobe CX Enterprise Coworker at HenkelAgent-to-agent in action: SAP and Adobe CX Enterprise Coworker at HenkelA customer story: SAP's data agents and SAP Business Data Cloud with Adobe CX Enterprise Coworker putting enterprise data in front of Henkel's marketing teams, with faster decisions as the stated result. The abstract names Business Data Cloud as the data side of an agent-to-agent setup and says nothing about what it does there or how the two agents talk; neither Adobe's product nor the data agents are atlas entries. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ankur Jain, Ramalingam Ramani and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Agentic SAP BW modernization: Your path to SAP Business Data CloudAgentic SAP BW modernization: Your path to SAP Business Data CloudStrategies for moving from SAP Business Warehouse to SAP Business Data Cloud, with dedicated migration tools and AI agents to shorten the move while keeping what was built in SAP BW, the platform migration concern for a warehouse. A Fresenius speaker co-presents; the abstract names neither the migration tools nor the agents. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Constantin Herbst, Hannes Keil and Sandy Tran, written here from SAP's abstract; the recording is not yet published.
AI-enhanced analytics with SAP Business AI PlatformAI-enhanced analytics with SAP Business AI PlatformSAP Business Data Cloud data products joined to an ontology, a semantic layer the abstract says is supported by the Model Context Protocol, and read from Joule Work (SAP Joule) and SAP Analytics Cloud: that is the architecture SAP's abstract states for its AI-enabled analytics. The abstract names the parts and not how the semantic layer is modelled or what an analytics developer builds against. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hacen Benkhedah, Joaquin Recio Huertas, Matilda Hyka and Oliver Huth, written here from SAP's abstract; the recording is not yet published.
Architecting your data foundation for the Autonomous EnterpriseArchitecting your data foundation for the Autonomous EnterpriseBuilding a data foundation for what SAP calls the Autonomous Enterprise on SAP Business Data Cloud: a business data fabric that unifies trusted data, business context and governed data products across an organisation's systems, so that Joule Agents in SAP Joule have the context their answers rest on. The abstract states Business Data Cloud's role and no product, data product or integration beneath it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Mudit Mittal and Prakash Nanduri, written here from SAP's abstract; the recording is not yet published.
Build agentic SAP extensions with Google CloudBuild agentic SAP extensions with Google CloudGoogle Cloud's architectures for agentic AI apps on SAP with a clean core: SAP Business AI Platform, SAP S/4HANA and SAP Business Data Cloud joined with BigQuery, Gemini and Google's Agent Development Kit. The abstract names zero-copy data agents, developer API workflows and ABAP extensions for AI integration, the last of which is the Extensibility concern; Business Data Cloud is the one atlas entry it names, and how any piece connects to another is not stated. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Ekaterina Kruse, Ian Moria and Stany Winkler, written here from SAP's abstract; the recording is not yet published.
Build AI agents on SAP and non-SAP data and context in an open lakehouseBuild AI agents on SAP and non-SAP data and context in an open lakehouseSAP Business Data Cloud as an open lakehouse: the abstract states that it holds third-party data beside SAP data and its semantic context on Apache Iceberg and Apache Polaris, that architects and developers publish governed data products and ontologies from it, which is the cataloguing and lineage concern, and that agents built on them for SAP Joule can be reached from outside over A2A. How a data product is defined, and what the ontology layer adds to it, is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Rahim Bhojani and Sivakumar N, written here from SAP's abstract; the recording is not yet published.
Build and govern data products in the Joule Studio solutionBuild and govern data products in the Joule Studio solutionData products in SAP Business Data Cloud are built and deployed from Joule Studio, in SAP's abstract, with no-code, AI-assisted tools that combine SAP and third-party data, and are then governed, catalogued and shared for analytics and AI, the cataloguing and lineage concern on the product side. The abstract names the steps and not what a data product built this way contains or how Joule Studio reaches the data. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Aruna Kashinath, Rene Kirchhoff and Sandy Tran, written here from SAP's abstract; the recording is not yet published.
Build real-time, unified data products for agentic AI with SAP ReltioBuild real-time, unified data products for agentic AI with SAP ReltioSAP Reltio inside SAP Business Data Cloud unifies master data across SAP and third-party systems and complements SAP Master Data Governance, in SAP's abstract, with Customer 360 as the named scenario and real-time data products for applications, analytics and AI as the output. The abstract states Reltio's place in the product and nothing about how the unification or the data products work. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Rene Kirchhoff, Richard Mooney and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.
Building custom Joule Agents with SAP Knowledge GraphBuilding custom Joule Agents with SAP Knowledge GraphCustom Joule Agents built in a hands-on with SAP Knowledge Graph and Joule Studio: discovering APIs from a user's intent, grounding an agent's answers in business context, and integrating data products for SAP Business Data Cloud. The agents are SAP Joule's; the Knowledge Graph is not an atlas entry, and the abstract does not say which Joule Studio edition the exercises use. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Jan Portisch, Lucas Kiesow, Pavithra G K and Rafael Martin, written here from SAP's abstract; no recording is announced.
Enhancing agentic AI with trusted business dataEnhancing agentic AI with trusted business dataHow SAP Business Data Cloud gives AI applications and agents governed access to business data and its context, and how zero-copy architectures let AI read enterprise data with less of it moved, which is the data federation concern. The abstract names the product and the architecture and states no mechanism or product the zero-copy path runs over. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA100V, virtual), presented by Aruna Kashinath, Hannes Keil and San Tran, written here from SAP's abstract; the recording is not yet published.
Enriching AI models with SAP AI Core in SAP Business Data CloudEnriching AI models with SAP AI Core in SAP Business Data CloudThe integration between SAP Business Data Cloud and SAP AI Core, through which data products with their semantics feed AI models for benchmarking, custom AI development and agentic analytics and applications. The abstract names the two products and the three uses and states nothing about how the data reaches AI Core or what the integration consists of. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by San Tran and Sandy Tran, written here from SAP's abstract; the recording is not yet published.
Joule and SAP Knowledge Graph: Context-aware AI across SAP solutionsJoule and SAP Knowledge Graph: Context-aware AI across SAP solutionsThe catalogue carries RA107's abstract under this title, and what it describes is SAP AI Core as the management and orchestration layer of an AI architecture: extending Joule Agents in SAP Joule, the model library in Joule Studio for contextual reasoning, connecting data products from SAP Business Data Cloud, and embedding AI in SAP S/4HANA. The SAP Knowledge Graph the title names does not appear in that text, so the edges rest on the abstract as published, and whether the session follows the title or the abstract is not known until it is recorded. A TechEd 2026 session (Wednesday 28 October, Berlin; also RA110V, virtual), presented by Jan Portisch and Pavithra G K, written here from SAP's abstract; the recording is not yet published.
Reimagining master data as the foundation for enterprise AIReimagining master data as the foundation for enterprise AIMaster data as the foundation for AI: SAP Business Data Cloud unifying, governing and delivering master data as reusable data products, the cataloguing and lineage concern, for analytics, autonomous applications and AI that share one business context. The abstract names no component of Business Data Cloud and no master data product, and Reltio, the co-presenter's company, is not named in it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.
Road map for SAP HANA Cloud: What’s next for the AI databaseRoad map for SAP HANA Cloud: What’s next for the AI databaseSAP's road map for SAP HANA Cloud, which the abstract places as a core component of SAP Business AI Platform within SAP Business Data Cloud. The abstract promises a firsthand look at what is next for the database and names no feature, release or date, so the two edges rest on the products it names and nothing more. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Niklas Siemer and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
SAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database at the centre of SAP Business Data Cloud: the strategy behind its AI-first direction, and a Carl Zeiss speaker on how it runs in production today. The abstract names the two products and the customer and no feature, workload or figure, so the edges rest on the products as its subject. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Kush Kashyap and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Share data products with zero copies using SAP Business Data Cloud ConnectShare data products with zero copies using SAP Business Data Cloud ConnectSAP Business Data Cloud Connect shares data products between SAP Business Data Cloud and third-party platforms with zero-copy access, in both directions and for metadata as well as data, in SAP's abstract, with the business context kept on the way. The abstract names the product and its two properties, bidirectional and zero-copy, and does not say which third-party platforms or which protocol carry the sharing. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Babacar Toure, Hannes Keil, Maria Uruena and Neetha Pucknat, written here from SAP's abstract; the recording is not yet published.
The future of the SAP Business Data Cloud solution: Data and AI road mapThe future of the SAP Business Data Cloud solution: Data and AI road mapThe road map for SAP Business Data Cloud as the data foundation of SAP Business AI Platform: upcoming work in data products, AI models and agentic analytics, framed as activating business context and running autonomous processes. A road map session, so nothing in it ships yet, and the abstract names the three areas and no item within them; a Fresenius speaker co-presents. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA802V, virtual), presented by Constantin Herbst and Prakash Nanduri, written here from SAP's abstract; the recording is not yet published.
The next evolution of SAP Business Data Cloud with Dremio and SAP ReltioThe next evolution of SAP Business Data Cloud with Dremio and SAP ReltioSAP Business Data Cloud's data fabric with two additions SAP's abstract names, Dremio and SAP Reltio: data products, open catalogues, unified master data and business semantics as the pieces of a data foundation for analytics and agentic AI. The abstract names the two products and not what each takes over in the fabric. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Florian Schmidt, Rene Kirchhoff and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.
Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.
What’s next for agentic analytics and planning in SAP Business Data CloudWhat’s next for agentic analytics and planning in SAP Business Data CloudWhat is next for agentic analytics and planning in SAP Business Data Cloud: SAP Joule's agents automating insight delivery, analysis, narrative generation and modelling tasks. A road map session; the abstract names the four kinds of task and no agent or date. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA806V, virtual), presented by Kristian Ruemmelin, written here from SAP's abstract; the recording is not yet published.
[Part – 2] Enrich CAP based Services with Behaviors using Annotations[Part – 2] Enrich CAP based Services with Behaviors using AnnotationsThe second half of a two-part walkthrough of CAP's behavioral annotations, following on from access control and input validation in the first part. This post works through @cds.autoexpose, @cds.api.ignore, @cds.persistence.exists/skip, @cds.on.insert/@cds.on.update and the @odata.Type/@odata.singleton mapping overrides, all shaping how a CDS model is projected into a service, which is data modelling. Alongside these it covers @cds.query.limit for default and maximum page sizes (pagination and streaming), @odata.etag with exclusive and shared locks for optimistic concurrency (concurrency control), and @cds.search for scoping $search to chosen elements (search), each with a CDS code example.published 2023-01-29
Handling Concurrent Updates in SAP CAP JavaHandling Concurrent Updates in SAP CAP JavaAlice and Bob open the same employee record; Bob saves last and quietly erases Alice's change. The lost-update problem stated concretely and then answered in CAP Java, which is the only entry here on the subject — hence the capability.Anjali_Pathak, published 2026-05-26
Enhancing agentic AI with trusted business dataEnhancing agentic AI with trusted business dataHow SAP Business Data Cloud gives AI applications and agents governed access to business data and its context, and how zero-copy architectures let AI read enterprise data with less of it moved, which is the data federation concern. The abstract names the product and the architecture and states no mechanism or product the zero-copy path runs over. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA100V, virtual), presented by Aruna Kashinath, Hannes Keil and San Tran, written here from SAP's abstract; the recording is not yet published.
Federating, Replicating, and Caching Remote Data in CAP — Part 2Federating, Replicating, and Caching Remote Data in CAP — Part 2The practical half of the pair. Where Part 1 sets out the terminology, what CAP does out of the box and where the gaps are, this one builds a small application that federates, replicates and caches remote data, one step at a time, with the finished project published as sales-cockpit so a reader can either follow along or start from the end. It began as a twenty-minute reCAP talk, which the author says was only room for the intro.published 2026-07-17
The Full Picture: Federating, Replicating, and Caching Remote Data in CAP — Part 1The Full Picture: Federating, Replicating, and Caching Remote Data in CAP — Part 1Part one of two, and the concepts half: terminology, what CAP already does, and what a project still has to write. It fixes a vocabulary — federation is the umbrella for making remote data part of your model, delegation forwards each request to the remote at query time, replication is a scheduled copy into the local database, and caching is an option on either rather than a third strategy — which collides with CAP's own, since what this series calls replication is what the CAP-level Data Federation guide calls federation. From the ground the Service Integration guide covers, it lists what is left to hand-write: cross-service $expand, navigation filters across the boundary, write forwarding, timeouts and retries, then scheduling, delta detection, backoff, a guard for two app instances sharing one schedule, idempotent writes, and knowing whether the last run succeeded. That list is why the edge to cds-data-federation holds: the second half maps it onto @federation.delegate and @federation.replicate and says which package carries which part — annotations in cds-data-federation, the scheduled engine in cds-data-pipeline, response caching through cds-caching — so it is the design rationale for the annotations, not the API reference. The gap list and the plugins answering it come from the same person who maintains them; cap-replication-demo and SAP's xtravels sample are cited as the hand-written form of the same work. Part 2 is announced as a walkthrough of a demo application and is not covered here.
Under the hood of the Delta Sharing protocolUnder the hood of the Delta Sharing protocolHow a Delta Sharing server, dsserv, implements the open-source Delta Sharing protocol for zero-copy sharing: Delta tables ingested, governed and streamed live from local S3-compatible storage into cloud consumers such as Databricks. Neither the server nor the protocol is an atlas entry; the edges are to data federation, the concern zero-copy sharing answers, and to object storage, where the tables sit, and the abstract names no SAP product. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Philipp Nell, written here from SAP's abstract; the recording is not yet published.
[Part – 2] Enrich CAP based Services with Behaviors using Annotations[Part – 2] Enrich CAP based Services with Behaviors using AnnotationsThe second half of a two-part walkthrough of CAP's behavioral annotations, following on from access control and input validation in the first part. This post works through @cds.autoexpose, @cds.api.ignore, @cds.persistence.exists/skip, @cds.on.insert/@cds.on.update and the @odata.Type/@odata.singleton mapping overrides, all shaping how a CDS model is projected into a service, which is data modelling. Alongside these it covers @cds.query.limit for default and maximum page sizes (pagination and streaming), @odata.etag with exclusive and shared locks for optimistic concurrency (concurrency control), and @cds.search for scoping $search to chosen elements (search), each with a CDS code example.published 2023-01-29
#BTP #SAPCAP: Quirky Nuggets (N01-N02)#BTP #SAPCAP: Quirky Nuggets (N01-N02)Walks through two CAP gotchas: the on/before/after phases of custom event handlers, shown with an after handler whose edits only reach the result when the handler returns an object or array, never a primitive; and the @assert.unique annotation, which builds a database uniqueness constraint from the model. For Input validation, the catch is that once the constrained property is nested, @assert.unique must name it by its model dot path (assignment.type) rather than the flattened column data modelling compiles it to (assignment_type).published 2023-06-05
#CAP-TechBytes Input Validation#CAP-TechBytes Input ValidationThe annotations one at a time — @mandatory, @assert.unique, @assert.range including the enum form, @assert.format — each with what it produces. Ends on error handling, which is the part that decides whether any of it is usable from a UI.Thajunniza, published 2023-07-07
A CAP Plugin for Flexible Number Range Management: cds-numberrange-pluginA CAP Plugin for Flexible Number Range Management: cds-numberrange-pluginThe author's own plugin, and the reason given for writing it is about plugins rather than about number ranges: a year of using them convinced them that this was the way to extend CAP without leaving marks on the application. Sequential document numbers are the thing it does; keeping the host project clean is the thing it argues for.abdulbasit, published 2025-06-17
Analyze and optimize ABAP Cloud model apps built on core data servicesAnalyze and optimize ABAP Cloud model apps built on core data servicesPerformance anti-patterns in data models built with ABAP CDS under ABAP Cloud applications, and the tools that find them: the abstract names ABAP cross trace, the SQL analyzer (PlanViz) in Visual Studio Code and the SAP HANA database explorer as what the session uses to follow a bottleneck from the application to the database. The anti-patterns are taken from real business applications, which is where the data modelling edge holds; which ones are shown is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ingo Braeuninger, Robert Werlich, Steffen Siegmund and Thomas Fiedler, written here from SAP's abstract; the recording is not yet published.
Beyond READ_TEXT: Decoding SAPscript Long Texts (STXL) with SQLScript in CDS/AMDPBeyond READ_TEXT: Decoding SAPscript Long Texts (STXL) with SQLScript in CDS/AMDPSTXL stores a SAPscript long text as a compressed ABAP cluster container — LZ77 plus canonical Huffman — so the only official reads are READ_TEXT, one call per text, and its mass variant READ_TEXT_TABLE, both of which ship every decompressed line to the application server and stay invisible to ABAP CDS. The author reverse-engineered that on-disk format and ported the decoder into SQLScript, wrapped in an AMDP procedure and exposed through CDS table functions, turning long texts into a joinable, filterable column read directly in the database. On ABAP 7.56 a table function needs the driver-and-filter pattern shown because a parameter cannot bind to a calling column; on ABAP 7.58/S/4HANA 2023 the same result becomes a parameter-less CDS scalar function with true filter push-down.aamelin1, published 2026-08-20
Building an Enterprise Application Using Fiori Elements and CAP - Part 1Building an Enterprise Application Using Fiori Elements and CAP - Part 1Part one of three, and it is all backend: the CAP service the UI will sit on. The author states the constraint the series works under — simple enough for someone new to the stack, without departing from the standard project layout.Farooq, published 2025-12-10
Calculating IBP Technical Week "Key Figure Date" in S/4HANA Using CDS ViewCalculating IBP Technical Week "Key Figure Date" in S/4HANA Using CDS ViewA custom ABAP CDS view entity, selecting from the standard I_CalendarDate view, to derive the first date of an SAP IBP "technical week" — the split IBP applies when a calendar week crosses a month boundary, a date S/4HANA does not expose natively. The calculated field is built with a case/when expression over dats_add_days, giving any calendar date's technical-week key figure date.bharatbajaj, published 2026-02-18
CAP, CDS, CDL, CSN and jq - finding associationsCAP, CDS, CDL, CSN and jq - finding associationsHow associations are actually represented once CDL is compiled into CSN, worked out by parsing the machine-readable form with jq. Useful less as a recipe than as a way in: anything that wants to reason about a CDS model without the compiler has to read CSN, and this is what that looks like from the outside.published 2024-04-16
Create CDS Views and expose through OData service in CAPMCreate CDS Views and expose through OData service in CAPMViews defined in CDS and then exposed, which is the whole of what a small CAP service is. Written step by step from cds init onward in Business Application Studio.VenkateshMundru, published 2025-08-11
Creating structured types, enums and named aspects using the CDS Graphical ModelerCreating structured types, enums and named aspects using the CDS Graphical ModelerThe modelling constructs that are awkward to draw — structured types, enums, named aspects — done in the graphical modeller rather than in CDL.Xiao-fei_Song, published 2021-05-26
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
Develop a full stack Business application with SAP Cloud Application Programming ModelDevelop a full stack Business application with SAP Cloud Application Programming ModelBuilds a full-stack CAP application in SAP Web IDE Full Stack's now-retired 'SAP Cloud Platform Business Application' template: a data-model.cds entity with its own service definition, then Fiori annotations on the generated OData. Building the project compiles that model into Catalog.xml and csn.json, the EDMX and CSN that metadata publishing says every exposed service gets. The entity and service definitions it writes by hand are the basic shape data modelling covers, though the webIDE and MTA tooling staged around them is gone.former_member584731, published 2018-11-29
Developing Business Services with Cloud Application Programming(CAP) Model in SAP Business StudioDeveloping Business Services with Cloud Application Programming(CAP) Model in SAP Business StudioA step-by-step build of a CAP Node.js service in SAP Business Application Studio: a CDS schema for banks, customers, accounts and transactions using compositions, associations, enumerated types and the @assert.unique constraint, followed by authorization layered on with @restrict and @requires annotations and mock users assigned the authenticated-user and Manager roles in .cdsrc.json. Custom event handlers registered through @sap/cds (srv.before/srv.after) and sample HTTP requests round out the example.Ranjith, published 2020-05-27
Explore the declarative power of status-transition flowsExplore the declarative power of status-transition flowsModelling which state a record may move to next, declaratively, rather than scattering the rule across the handlers that move it.SAP
First Java Cap ApplicationFirst Java Cap ApplicationA step-by-step walkthrough of a first CAP Java project: com.sap.cds:cds-services-archetype scaffolds the initial Maven project, and the domain model is then rewritten in the db folder with entities, the cuid and managed aspects, associations, compositions and a CodeList, so a hand-coded event handler serving a single entity gives way to a service that CAP's generic persistence handling serves without custom code. It deploys that model to SQLite for local development — cds deploy --to sqlite, then a Spring profile pointing at the generated database file — and ends by adding an index.cds so the model and service can be published as a reusable npm module.bruce_wang3, published 2020-12-08
From SEGW to @OData.publish: Expose Your CDS View as OData in S/4HANAFrom SEGW to @OData.publish: Expose Your CDS View as OData in S/4HANAWalks through exposing an ABAP CDS view as an OData service in an on-premise S/4HANA system by adding the @OData.publish: true annotation, then registering and activating the generated service in SAP Gateway (transaction /IWFND/MAINT_SERVICE) before testing it with $filter, $top and $count. It sets this against the manual route through transaction SEGW, since the annotation generates the service, its navigation properties and its OData properties straight from the CDS view without a Service Builder project.rupalipunekar1234, published 2026-07-09
Generating Adobe Form Using RAP framework OData ServicesGenerating Adobe Form Using RAP framework OData ServicesModels a RAP root view entity and consumption view over a custom sales-order table, built with ABAP CDS, and exposes it through a service definition and an OData V2 UI service binding. A separate SEGW project implements GET_STREAM to call an Adobe Form driver class and stream the rendered PDF back as the response, with a computed link field added to the CDS view so the UI can open it. The PDF is generated in the backend and returned to the calling program rather than sent straight to a printer.Megastar, published 2025-03-18
Importing @sap/cds common.cds to your CAP project using the CDS Graphical ModelerImporting @sap/cds common.cds to your CAP project using the CDS Graphical ModelerPulling the common aspects and code lists from @sap/cds into a model through the modeller, so the reuse types appear in the diagram rather than only in the file.Xiao-fei_Song, published 2021-05-06
Learn how to define constraints declaratively in your CDS modelLearn how to define constraints declaratively in your CDS modelConstraints expressed in the model rather than checked in a handler — the distinction the atlas draws between input validation the framework enforces and validation somebody writes.SAP
My CAP Projects ToolboxMy CAP Projects ToolboxA working inventory of daily CAP tooling: scaffolding a project with cds init and growing it facet by facet through cds add (TypeScript, seed data, an .http test file, a handler stub), then running it with cds watch and setting a breakpoint in a custom handler from SAP Business Application Studio's JavaScript Debug Terminal. It also walks through an @open entity that accepts properties the model never declared, and reading temporal data defined with CAP's temporal aspect, where a plain read returns only what is valid now and a custom handler is needed to retrieve every time slice.vvdries, published 2024-12-23
SAP CAP Adapter to expose OData as custom REST ServiceSAP CAP Adapter to expose OData as custom REST ServiceWalks through consuming an external OData V2 service in a CAP project — cds import converts the Northwind service's EDMX into a CSN and cds.connect.to wires up the remote proxy — then re-exposing it as plain REST with the @protocol:'rest' annotation instead of OData's own envelope. Shows two ways to reshape the response, renaming and dropping fields in a CDS projection or rewriting the returned objects in a custom service handler, and remaps ?pageSize and ?offset onto OData's $top and $skip in that same handler.Former Member, published 2021-09-15
SAP CAP Recent Enhancements the HANA Dev Should Know AboutSAP CAP Recent Enhancements the HANA Dev Should Know AboutThomas Jung walks through CAP features for HANA database developers that landed through late 2021: doc comments in the data model (CDL comments propagated into generated database objects via the package.json cdsc.docs compiler option), and schema evolution reaching general availability in the November 2021 release, using the @cds.persistence.journal annotation and cds.hana.journal settings to generate incremental hdbmigrationtable migration scripts instead of dropping and recreating tables. It also walks through two features outside those two: window functions in view column definitions, added in the December 2021 release, and a beta assert_integrity setting that generates database foreign-key constraints from 1:1 associations and compositions.published 2022-02-15
SAP CAP(Cloud Application Programming)开发框架概述SAP CAP(Cloud Application Programming)开发框架概述A Chinese-language walkthrough of CAP built mainly from CAPire's own "About CAP" page: CDS entities, associations, compositions and aspects for data modelling, with an extend Books with @restrict: [{ grant:'WRITE', to:'admin' }] aspect as its authorization example; CQL and CQN queries shown against both a local service and OData's $select/$expand; and the service-and-event model — this.on, this.emit, srv.on — that carries CAP's async processing. It closes with the author's own setup: installing @sap/cds-dk, scaffolding a bookshop project with cds init, and running it with cds watch against local SQLite, mocked authentication and file-based messaging standing in for HANA Cloud, IAS and Kafka.ArthurYang, published 2024-01-07
SAP Cloud Platform Backend service: Tutorial [11]: CDS : magic: key: generationSAP Cloud Platform Backend service: Tutorial [11]: CDS : magic: key: generationExplains CDS's UUID key type: giving a key property UUID gets its value generated automatically instead of a hand-picked unused number, as data modelling lets an element's type do, at the cost of a 36-character value unfit for a user-facing display. It then works out how that generated value is addressed in a single-entity read URL — bare brackets in OData V4 against the guid'...' literal V2 requires — citing the OData specification for the difference.CarlosRoggan, published 2019-03-15
SAP Incentive Management - Understanding of CSN file & CLI Command to generateSAP Incentive Management - Understanding of CSN file & CLI Command to generateCSN met from the far end: not as CAP's compiled model but as the interchange format a product hands to Analytics Cloud so a story knows the shape of the data. Explains what CSN is, why the format matters here, and the command that produces one.Yogananda, published 2024-11-19
Understanding entity relationships in CDSUnderstanding entity relationships in CDSModels a CAP task-management domain in CDS — Users, Roles, Tasks and Categories joined by to-one associations, a composition of tasks owned by a user, and a self-referencing association from a user to its parent — using the managed and cuid aspects from @sap/cds/common. It then visualises that model in Business Application Studio's CDS Graphical Modeler and adds a CAP Java before-handler that sets a generated password on user creation.Avinash_Vaidya, published 2022-11-22
Understanding Projections in CAPM: Select Only What You Need!Understanding Projections in CAPM: Select Only What You Need!One concept, explained by someone who had just learned it and says so — what a projection is, why it matters, and an analogy. The register is unusual here and suits the subject: projections are the first thing that makes CDS feel different from a table.Avisek_, published 2025-06-10
Use Aspects, Association and Convert OData V4 to V2 using ProxyUse Aspects, Association and Convert OData V4 to V2 using ProxyTwo halves that turn out to belong together: aspects and associations in the model, and then the v4-to-v2 proxy in front of it. The model decides what the proxy has to carry, which is why the author put them in one post.rahul_rajagopal, published 2023-08-28
[BTP HANA Cloud Database] : How to access HANA Cloud Database & HDI Container in BTP[BTP HANA Cloud Database] : How to access HANA Cloud Database & HDI Container in BTPGetting at the database your application already deployed to, which sounds trivial until the HDI container is the only thing that has credentials for it. Guidance for the case where the account is already configured and the question is only how to look inside.showkath_naseem, published 2023-01-18
A Use Case for HANA Cloud Knowledge Graph: AI‑Driven Tender AnalysisA Use Case for HANA Cloud Knowledge Graph: AI‑Driven Tender AnalysisMatching unstructured text against internal data, using both HANA engines at once — the Knowledge Graph for the relationships and the Vector Engine for similarity — with CAP holding the application and its data. Notes that the Knowledge Graph Engine is off by default and has to be enabled when the instance is created, which is the kind of thing that stops a weekend.giacomo_dantonio, published 2026-03-19
Accelerating Your Analytics with Delta Table Replication into SAP HANA CloudAccelerating Your Analytics with Delta Table Replication into SAP HANA CloudStarting with QRC 04/2025, SAP HANA Cloud can replicate a Delta Lake table from an external Delta Sharing source directly into a native HANA table, rather than only querying it live through a virtual table. The post walks through creating a remote subscription, running a chunk-based initial load, and setting up change data capture on a schedule or on demand, each with the SQL statements and monitoring views involved, plus the simpler virtual-table-toggling and HANA Cloud Central UI alternatives.SeungjoonLee, published 2025-12-22
Agentic memory: Knowledge graph engine and recall in SAP HANA CloudAgentic memory: Knowledge graph engine and recall in SAP HANA CloudThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA263 on Wednesday 28 October is a two-hour hands-on on the same engine with a different cast. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Markus Fath and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.
Analyze and optimize ABAP Cloud model apps built on core data servicesAnalyze and optimize ABAP Cloud model apps built on core data servicesPerformance anti-patterns in data models built with ABAP CDS under ABAP Cloud applications, and the tools that find them: the abstract names ABAP cross trace, the SQL analyzer (PlanViz) in Visual Studio Code and the SAP HANA database explorer as what the session uses to follow a bottleneck from the application to the database. The anti-patterns are taken from real business applications, which is where the data modelling edge holds; which ones are shown is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ingo Braeuninger, Robert Werlich, Steffen Siegmund and Thomas Fiedler, written here from SAP's abstract; the recording is not yet published.
Automate Recurring Data Updates in SAP HANA CloudAutomate Recurring Data Updates in SAP HANA CloudA walkthrough for marking inventory rows stale after 30 days using SAP HANA Cloud's own scheduler: a SQLScript procedure, a CREATE SCHEDULER JOB statement with its 7-field cron pattern, the M_SCHEDULER_JOBS monitoring view, and the matching DROP statements to remove both. It then names where that approach stops and lists the alternatives for scheduling outside the database: SAP Integration Suite's Timer Event, the SAP Job Scheduling service, SAP Automation Pilot for infrastructure commands, and a custom approach for triggering scheduled REST calls from an application.Joni, published 2026-06-11
Build AI agents and applications natively on SAP HANA CloudBuild AI agents and applications natively on SAP HANA CloudSAP HANA Cloud as the base for agentic applications on SAP Business AI Platform: the session goes through CAP, the SAP HANA Cloud vector engine and SAP AI Core, with architecture patterns and lessons learned from building AI-supported applications. SAP's abstract names the three parts of that stack and the vector engine as the database's feature in it, and describes none of the patterns. A TechEd 2026 session (Wednesday 28 October, Berlin; also DA113V, virtual), presented by Christoph Morgen and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.
Build your custom knowledge layer with SAP HANA CloudBuild your custom knowledge layer with SAP HANA CloudSAP HANA Cloud's multi-model engines, the knowledge graph engine among them, as the base for a custom knowledge layer over the enterprise's data, with SAP Business Data Cloud as the product that includes the database. Graph, spatial and document data put to an AI use; the abstract names the graph engine and not the query language or the vector side. A TechEd 2026 session (Wednesday 28 October, Berlin; also ST108V, virtual), presented by Niklas Siemer and Sebastian Schmidt, written here from SAP's abstract; the recording is not yet published.
Building a CAP App with Fiori Integration – Part 1: Environment & HANA Cloud SetupBuilding a CAP App with Fiori Integration – Part 1: Environment & HANA Cloud SetupA trial account taken from nothing to a CAPM project with a HANA Cloud instance behind it. Everything here is prerequisites, which the author says outright — the application is in the parts that follow.SuryaRamesh, published 2026-04-08
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANABuilding an SAP BTP Agent Architecture from Scratch: Python + CAP + HANAA first-person build log of a Flask orchestrator on Cloud Foundry that reduces a question to keywords, searches a Node.js service's Documents entity, and passes what it finds to Claude for a grounded answer. Getting there means learning that HANA's fuzzy .search() matches one word but not a full sentence, fixed by splitting the query into terms and merging the per-term hits, and that provisioning SAP HANA Cloud hits a database-level free-tier quota rather than an HDI-container one, with a stopped instance needing to be resumed first. It also covers @sap/cds-dk needing to sit in dependencies rather than devDependencies, since Cloud Foundry's buildpack skips the latter, before cds deploy --to hana can run as part of the push.neilaspin, published 2026-07-28
CAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry is a prototype that generates a CAP Node.js project with SAP Fiori elements from a written business requirement, discovering the actual data shape from a chosen source — SQLite, a configured SAP HANA HDI container, offline EDMX, live OData through the SAP Destination service, or approved SAP BTP ABAP objects — instead of inventing one. The generated application can carry a Fiori draft lifecycle with optimistic concurrency via ETags and annotation-driven Fiori elements list and object screens, localized independently of the underlying service contract. Attachments can be added with upload, download and delete, gated on a malware-scan status, and the generated project still has to compile, build and pass its generated tests before the run is accepted.Shahid, published 2026-08-20
CAP with PostgreSQL DB alternate to HANA Cloud DB - Part 1CAP with PostgreSQL DB alternate to HANA Cloud DB - Part 1Bootstrapping a CAP project on PostgreSQL, framed as a choice that depends on the client rather than on the technology. Short, and part two is where it gets debuggable.ramonlee5, published 2023-10-10
CAPM Basics - Part 2CAPM Basics - Part 2Walks through deploying a CAP application to SAP BTP, Cloud Foundry Runtime: provisioning a SAP HANA Cloud instance and HDI container, then running cds add hana and cds add xsuaa --for production, cds build --production, and an MTA build and deploy. Tests the deployed service in Postman with an OAuth 2.0 client credentials token from the XSUAA binding (SAP Authorization and Trust Management service), explicitly leaving out any role templates or scopes.archisman92, published 2025-02-28
cds deploy to sqlite in-memory databasecds deploy to sqlite in-memory databaseTwo pages on what cds deploy --to sqlite does and what it prints. A reference note rather than an argument, and the shortest entry in this capability.AndrewBarnard, published 2021-04-25
Configure an SAP CAP Application to Connect to an SAP HANA Cloud Database in Another Global Account or SubaccountConfigure an SAP CAP Application to Connect to an SAP HANA Cloud Database in Another Global Account or SubaccountThe case the tooling does not cover: the database is in a different global account, so there is no HDI container to bind and cds deploy cannot do its usual job. Written for exactly that, and it says so in the subtitle — without HDI.JhoelAnthonyRamosRomeroPE, published 2024-10-08
Deploying CAP services with the in-memory SQLite databaseDeploying CAP services with the in-memory SQLite databaseIn-memory, deployed to Cloud Foundry — so the data is gone on restart, on purpose. For a service whose datastore does not need to survive anything, which is a narrower case than it sounds and a real one.liam_mischewski, published 2021-05-24
Distributed Resiliency of SAP CAP applications using SAP HANA Cloud (Multi-Zone Replication)Distributed Resiliency of SAP CAP applications using SAP HANA Cloud (Multi-Zone Replication)Resilience defined the way an operator would — failures happen in a complex landscape and should go unnoticed by the user — and then what multi-zone replication on HANA Cloud means for the CAP application in front of it.shanthakumar_krishnaswamy, published 2022-11-12
Exposing Calculation View with Dynamic Client via OData APIExposing Calculation View with Dynamic Client via OData APIGetting a HANA Cloud calculation view — built in Business Application Studio and deployed to an HDI container, which is the recommended way to build native HANA artifacts — out through an OData API. The gap it fills is the one between HANA-native development and a service a client can call, which CAP does not cover for artifacts it did not generate.published 2023-10-04
Extend SAP SuccessFactors on SAP BTP with CAP - Deploy to SAP HANA CloudExtend SAP SuccessFactors on SAP BTP with CAP - Deploy to SAP HANA CloudThe deployment instalment of the author's SuccessFactors extension series — the project already exists and the imported service is already modelled, so this is only the move onto HANA Cloud. Depends on the two posts before it and says so.ale_biagi, published 2022-03-29
First Java Cap ApplicationFirst Java Cap ApplicationA step-by-step walkthrough of a first CAP Java project: com.sap.cds:cds-services-archetype scaffolds the initial Maven project, and the domain model is then rewritten in the db folder with entities, the cuid and managed aspects, associations, compositions and a CodeList, so a hand-coded event handler serving a single entity gives way to a service that CAP's generic persistence handling serves without custom code. It deploys that model to SQLite for local development — cds deploy --to sqlite, then a Spring profile pointing at the generated database file — and ends by adding an index.cds so the model and service can be published as a reusable npm module.bruce_wang3, published 2020-12-08
Flexible analytics at speed: Calculation views in SAP Business Data CloudFlexible analytics at speed: Calculation views in SAP Business Data CloudCalculation views in SAP HANA Cloud, the reusable analytic modelling blocks built in its graphical modelling environment, with three newer parts the abstract names: AI-assisted modelling, refactoring, and advanced materialisation, and the way the views sit inside SAP Business Data Cloud. What a materialisation is chosen on, and what the AI assistance generates, is not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hansika Colomboge Dona, Jan Zwickel, Niklas Siemer and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]The cloud database appears: a HANA Cloud instance created on BTP and mapped to a Cloud Foundry space. No application code — this is the part where the platform has to be right before the next part can connect to it.sanjucs, published 2026-05-08
Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
How to share tables across different CAP projectsHow to share tables across different CAP projectsFour scenarios for reading one CAP project's table from another, worked out as a matrix of what each one needs: the same HDI container and namespace, the same container under a different namespace, a different container, and a different Cloud Foundry space. The mechanics change with each step — @cds.persistence.exists on the reused entity throughout, an .hdbsynonym once namespaces diverge, .hdbrole and .hdbgrants once containers do, and a user-provided service built from the grantor's credentials once spaces do. The author flags the caveat themselves: these are learning scenarios, and consuming the OData service is often the better answer than reaching into another project's database. Dated corrections from twelve days after publication sit inline — synonyms need only the name because the configuration comes from .hdbsynonymconfig, SERVICE_REPLACEMENTS in mta.yaml removes the hard-coded service name, and the reused container need not be bound to the srv module.published 2021-10-03
Hybrid testing using PostgreSQL on SAP BTP, hyperscaler optionHybrid testing using PostgreSQL on SAP BTP, hyperscaler optionA short note rather than a guide — the author says they came across the feature reading someone else's post on PostgreSQL with Kyma. Hybrid testing against a real PostgreSQL instance, which until then people assumed meant HANA.martinfrick, published 2023-08-08
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Lets Talk to the Database - CAP & SQLite Powered by Google Gemini-2.5-ProLets Talk to the Database - CAP & SQLite Powered by Google Gemini-2.5-ProNatural language against a CAP service on SQLite, with a non-SAP model doing the translation. Written as a learning exercise rather than a pattern, and the choice of Gemini over anything in the AI hub is the interesting part of it.ShivamShuklaSAP, published 2025-04-16
Modernize your database landscape with SAP HANA CloudModernize your database landscape with SAP HANA CloudWhy to move a database estate to SAP HANA Cloud, and the migration tools and services for doing so, which is the platform migration concern. SAP's abstract is one sentence and names none of the tools. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Niklas Siemer and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.
Open Sourcing CAP – how to learn more or get involvedOpen Sourcing CAP – how to learn more or get involvedA roundup of CAP's open-sourcing, begun at TechEd the year before, pointing to a webinar recording, a podcast episode and reCAP 2023 talks for background. Among the components it names are a feature toggle library giving Node.js CAP apps live-updatable toggles backed by Redis, a new pluggable database layer with SQLite and PostgreSQL implementations plus a generic SQL layer, and a change tracking component that builds a change history for data from CDS models.Fempel, published 2023-10-02
Road map for SAP HANA Cloud: What’s next for the AI databaseRoad map for SAP HANA Cloud: What’s next for the AI databaseSAP's road map for SAP HANA Cloud, which the abstract places as a core component of SAP Business AI Platform within SAP Business Data Cloud. The abstract promises a firsthand look at what is next for the database and names no feature, release or date, so the two edges rest on the products it names and nothing more. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Niklas Siemer and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
SAP CAP Lessons Learned: Run a CAP app using SQLite on SAP BTP - Cloud FoundrySAP CAP Lessons Learned: Run a CAP app using SQLite on SAP BTP - Cloud FoundrySQLite past the point it is meant to go — deployed, not local. Written as a lesson learned rather than a recommendation, and it pairs with the author's own note that SQLite is single threaded.LucasMagriniRigo, published 2024-12-30
SAP CAP Lessons Learned: SQLite is single threaded, HANA is notSAP CAP Lessons Learned: SQLite is single threaded, HANA is notA page long, and one of the more useful pages here: the local database serialises what the deployed one runs in parallel, so concurrency bugs are invisible until they are not. Filed by the author as something the tutorials do not make clear.LucasMagriniRigo, published 2025-01-22
SAP CAP With Prostgres Serice in BTPSAP CAP With Prostgres Serice in BTPA step-by-step walkthrough of a CAP bookshop project on @cap-js/postgres, provisioning PostgreSQL on SAP BTP, hyperscaler option's trial plan through mta.yaml, building the MTA archive and deploying it to Cloud Foundry by hand, then inspecting the deployed database with pgAdmin over an SSH tunnel. It updates an earlier post by Mike Zaschka on the same topic to the package CAP now ships by default, though the manual build-and-deploy sequence it shows predates cds up folding those steps into one command by a day.satya-dev, published 2025-03-30
SAP Cloud Application Programming Model（CAP）：概要およびデモ - Part 1SAP Cloud Application Programming Model（CAP）：概要およびデモ - Part 1Introduces SAP Cloud Application Programming Model as an open, opinionated framework that shoulders OData plumbing and database-specific code so a domain is modelled once in CDS, then builds a small bookshop project to show it: @sap/cds-dk's cds init scaffolds the project, cds watch serves it locally with live reload against an in-memory SQLite database, and a CatalogService projects a CDS domain model seeded from CSV files. The result is read as an OData service in the browser and exercised further through a Postman collection, with the optional @sap/vscode-cds extension noted for CDS syntax highlighting and completion in VS Code.rasai, published 2020-12-31
SAP HANA Cloud advisors and automationSAP HANA Cloud advisors and automationSAP HANA Cloud's advisors and the tasks they hand off: the elastic compute node, the partition, index and native storage extension advisors that produce recommendations for performance and efficiency, and SAP Automation Pilot as the service that runs the resulting tasks, which is operations automation on the database. The abstract lists the features and stops there, so what each advisor recommends and how a recommendation becomes an Automation Pilot command is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hansika Colomboge Dona, Hui Li, Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.
SAP HANA Cloud as a self-managed database: Advisors and automationSAP HANA Cloud as a self-managed database: Advisors and automationSAP HANA Cloud advisors generate recommendations for database administration, aimed at system performance and efficiency, and SAP Automation Pilot runs the manual and administrative tasks around the database as automated processes, which is the operations automation concern on the database side. SAP's abstract names the two services and claims reduced operational overhead; which advisors exist and which tasks the automation covers are not said. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.
SAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database at the centre of SAP Business Data Cloud: the strategy behind its AI-first direction, and a Carl Zeiss speaker on how it runs in production today. The abstract names the two products and the customer and no feature, workload or figure, so the edges rest on the products as its subject. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Kush Kashyap and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
SAP HANA Cloud: The data foundation for contextualizing and reasoningSAP HANA Cloud: The data foundation for contextualizing and reasoningWhere SAP is taking SAP HANA Cloud, described in the abstract as the anchor of SAP's data strategy and a unified layer to store, contextualise and reason across a business, and what that means for a data platform decision. The abstract is a direction statement and names no feature, release or date, so the one edge rests on the product itself. A TechEd 2026 session (Tuesday 27 October, Berlin; also ST106V, virtual), presented by Matthew Zenus and Stefan Baeuerle, written here from SAP's abstract; the recording is not yet published.
Setting Up PostgreSQL for SAP BTP Development: A Practical GuideSetting Up PostgreSQL for SAP BTP Development: A Practical GuideOpens with the premise the rest of this bucket mostly assumes away — not every BTP application needs HANA Cloud — and then sets up PostgreSQL on the hyperscaler option. Part one of a series that continues into XSUAA.michal_majer, published 2026-01-20
Simple steps to deploy your CAP project to HANA cloudSimple steps to deploy your CAP project to HANA cloudWritten from the far side of a failed deploy — the author says these are the troubleshooting steps that ended up working, not a designed procedure. Short, and honest about being a record rather than a recommendation.OmPrakashJha, published 2021-02-11
Stop guessing, start counting: How generative AI fixed an inventory messStop guessing, start counting: How generative AI fixed an inventory messAn inventory-counting application a business built on SAP Business AI Platform with SAP HANA Cloud and generative AI, to replace recount lists kept by gut feel across SAP ERP Central Component, SAP S/4HANA and Microsoft Excel; the talk promises the app, its architecture and what went wrong. The generative AI part is LLM integration from application code; the abstract names HANA Cloud and generative AI as the two building blocks and says nothing about how either is used. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Ranjeet Kumar, written here from SAP's abstract; the recording is not yet published.
Talking to your database: The new data exploration tools in SAP HANA CloudTalking to your database: The new data exploration tools in SAP HANA CloudSAP HANA Cloud's new data exploration tools take a business question in plain language, find the right database objects and run the query, with no data model and no SQL written beforehand, shown live on a standard business data set. SAP's abstract says the session covers how the tools work, what they need and where they hit their limits, and states none of the three. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Anna Hartmann, written here from SAP's abstract; the recording is not yet published.
Unlock predictive and generative AI with your data in SAP HANA CloudUnlock predictive and generative AI with your data in SAP HANA CloudThe AI features SAP lists for SAP HANA Cloud: the function libraries for tabular prediction and forecasting, where predictive models run inside the database, the vector engine, the knowledge graph engine, which is graph, spatial and document data put to generative use, and SQL to LLM calls. The abstract names the engines and the use cases they are meant for and gives no detail of any one of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA204V, virtual), presented by Christoph Morgen and Javier Martin, written here from SAP's abstract; the recording is not yet published.
Use SAP HANA as the Database for a CAP Java ApplicationUse SAP HANA as the Database for a CAP Java ApplicationMoving a CAP Java application off the development database onto HANA, which is the step where the persistence choice stops being invisible.SAP
Useful CAP CDS and Fiori Commands to Accelerate Development and DeploymentUseful CAP CDS and Fiori Commands to Accelerate Development and DeploymentA command-by-command walkthrough of @sap/cds-dk's cds add and fiori add generators: cds add xsuaa writes an XSUAA security configuration from the CDS model's authorization annotations, and cds add hana together with cds deploy --to hana switches persistence from the default SQLite database to SAP HANA Cloud. cds add mta and fiori add deploy-config, from @sap/generator-fiori, build the Cloud Foundry deployment descriptor together, adding a destination-service block and an xs-app.json that routes the Fiori app's calls through a named destination.TiaXu, published 2022-10-19
Using HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPUsing HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPEmbeddings generated inside the database rather than fetched from AI Core or an external model — a Q4 2024 HANA Cloud function, used from CAP. The shift it describes is where the embedding step lives, which changes what has to be deployed and what has to be called.published 2025-03-02
Agentic memory: Knowledge graph engine and recall in SAP HANA CloudAgentic memory: Knowledge graph engine and recall in SAP HANA CloudThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA263 on Wednesday 28 October is a two-hour hands-on on the same engine with a different cast. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Markus Fath and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.
Build your custom knowledge layer with SAP HANA CloudBuild your custom knowledge layer with SAP HANA CloudSAP HANA Cloud's multi-model engines, the knowledge graph engine among them, as the base for a custom knowledge layer over the enterprise's data, with SAP Business Data Cloud as the product that includes the database. Graph, spatial and document data put to an AI use; the abstract names the graph engine and not the query language or the vector side. A TechEd 2026 session (Wednesday 28 October, Berlin; also ST108V, virtual), presented by Niklas Siemer and Sebastian Schmidt, written here from SAP's abstract; the recording is not yet published.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Unlock predictive and generative AI with your data in SAP HANA CloudUnlock predictive and generative AI with your data in SAP HANA CloudThe AI features SAP lists for SAP HANA Cloud: the function libraries for tabular prediction and forecasting, where predictive models run inside the database, the vector engine, the knowledge graph engine, which is graph, spatial and document data put to generative use, and SQL to LLM calls. The abstract names the engines and the use cases they are meant for and gives no detail of any one of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA204V, virtual), presented by Christoph Morgen and Javier Martin, written here from SAP's abstract; the recording is not yet published.
Create your first CAP pluginCreate your first CAP pluginA step-by-step guide to the cds-plugin.js extension point: scaffold a package, add an index.cds for shared model artifacts, and test it locally against a throwaway CAP project before publishing to npm, with a separate section on building the same plugin in TypeScript and compiling it with tsc. Points to the author's own cds-plugin-handlers and ui5-cap-serverside-rendering-plugin as worked examples.published 2024-12-09
How to mass upload from a spreadsheet file into an SAP Fiori app in SAP BTP ABAP Environment Part 1How to mass upload from a spreadsheet file into an SAP Fiori app in SAP BTP ABAP Environment Part 1Part 1 of a three-part series on mass-uploading records from a spreadsheet into a RAP business object in the SAP BTP ABAP environment, using the XCO XLSX module to parse an uploaded Excel file without any open-source library. It reads a named worksheet by its column-and-row coordinates into an internal table through the row-stream operation, then creates or updates records with the EML MODIFY ENTITIES statement, and reserves the Fiori elements custom-action wiring and the download/template generation for Parts 2 and 3.DebrajManna87, published 2024-08-08
SAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsSAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsTwo years of production SAP Datasphere integrations across SAP and non-SAP sources, settling on Replication Flows over remote access for high-volume Finance analytics because remote queries added latency at query time, then tuning the copy with Datasphere-side partitioning, source-side CDS view optimisation and Cloud Connector sizing. For file-based and Kafka sources, SAP Integration Suite iFlows did work a direct connection could not — flattening nested JSON, PGP decryption and orchestrating the SAP Ariba extraction built on SAP's own BTP Procurement Data Extractor content.saikrishna_kalivarapu2, published 2026-08-17
Connecting Two SAP CAP Projects Without Duplicating Your DataConnecting Two SAP CAP Projects Without Duplicating Your DataCross-container HDI synonyms, argued from the alternatives rather than presented as a recipe: copying the table, standing up an API, or hard-coding the values are the three things the author reports seeing teams do, and each is named as working but unclean. With synonyms in place the consuming project queries the owner's HANA tables through ordinary SQL and ordinary CAP service code, with no replication and nothing to drift between environments. Covers the same ground as Mio Yasutake's 2021 post from a different angle — that one enumerates four topologies, this one argues for one of them.Inderpreet, published 2026-07-08
How to share tables across different CAP projectsHow to share tables across different CAP projectsFour scenarios for reading one CAP project's table from another, worked out as a matrix of what each one needs: the same HDI container and namespace, the same container under a different namespace, a different container, and a different Cloud Foundry space. The mechanics change with each step — @cds.persistence.exists on the reused entity throughout, an .hdbsynonym once namespaces diverge, .hdbrole and .hdbgrants once containers do, and a user-provided service built from the grantor's credentials once spaces do. The author flags the caveat themselves: these are learning scenarios, and consuming the OData service is often the better answer than reaching into another project's database. Dated corrections from twelve days after publication sit inline — synonyms need only the name because the configuration comes from .hdbsynonymconfig, SERVICE_REPLACEMENTS in mta.yaml removes the hard-coded service name, and the reused container need not be bound to the srv module.published 2021-10-03
Integrating Using Google Cloud Storage Adapter (GCP Authentication & adapter config)Integrating Using Google Cloud Storage Adapter (GCP Authentication & adapter config)Walks through connecting SAP Integration Suite's Google Cloud Storage adapter to a bucket: creating a GCP service account with the Storage Object Admin role, generating its JSON or P12 key, converting it into a key-pair alias, and using that alias and the service account email in the adapter's authentication. It covers configuring the receiver adapter's upload operation (directory, object name, content type, and override, ignore or fail handling for an existing file) and the sender adapter's read, including post-processing to archive, delete or keep the object after an iFlow fetches it.MirunaliniV, published 2026-02-20
Under the hood of the Delta Sharing protocolUnder the hood of the Delta Sharing protocolHow a Delta Sharing server, dsserv, implements the open-source Delta Sharing protocol for zero-copy sharing: Delta tables ingested, governed and streamed live from local S3-compatible storage into cloud consumers such as Databricks. Neither the server nor the protocol is an atlas entry; the edges are to data federation, the concern zero-copy sharing answers, and to object storage, where the tables sit, and the abstract names no SAP product. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Philipp Nell, written here from SAP's abstract; the recording is not yet published.
HANA Database Migration: Handling Incompatible Changes to Existing TablesHANA Database Migration: Handling Incompatible Changes to Existing TablesThe question schema evolution exists for, asked plainly: how do you restructure a table in a production system that already holds live data. Incompatible changes are the ones CAP's own alter path will not make, which is where this starts.Sekar Somasundaram, published 2025-04-16
SAP CAP Recent Enhancements the HANA Dev Should Know AboutSAP CAP Recent Enhancements the HANA Dev Should Know AboutThomas Jung walks through CAP features for HANA database developers that landed through late 2021: doc comments in the data model (CDL comments propagated into generated database objects via the package.json cdsc.docs compiler option), and schema evolution reaching general availability in the November 2021 release, using the @cds.persistence.journal annotation and cds.hana.journal settings to generate incremental hdbmigrationtable migration scripts instead of dropping and recreating tables. It also walks through two features outside those two: window functions in view column definitions, added in the December 2021 release, and a beta assert_integrity setting that generates database foreign-key constraints from 1:1 associations and compositions.published 2022-02-15
SAP Developer New, July 3rd 2026SAP Developer New, July 3rd 2026A "Did You Know" segment in this SAP Developer News video walks through schema evolution: CAP's ability to add a new field to an entity, or make a compatible change to an existing one, then redeploy the model with no data loss or manual migration. The rest of the July 2026 episode covers that month's Developer Challenge, a SAP HANA Cloud Q2 release announcement and a UI5 survey call, none explained in substance here.published 2026-07-02
[Part – 2] Enrich CAP based Services with Behaviors using Annotations[Part – 2] Enrich CAP based Services with Behaviors using AnnotationsThe second half of a two-part walkthrough of CAP's behavioral annotations, following on from access control and input validation in the first part. This post works through @cds.autoexpose, @cds.api.ignore, @cds.persistence.exists/skip, @cds.on.insert/@cds.on.update and the @odata.Type/@odata.singleton mapping overrides, all shaping how a CDS model is projected into a service, which is data modelling. Alongside these it covers @cds.query.limit for default and maximum page sizes (pagination and streaming), @odata.etag with exclusive and shared locks for optimistic concurrency (concurrency control), and @cds.search for scoping $search to chosen elements (search), each with a CDS code example.published 2023-01-29
Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANABuilding an SAP BTP Agent Architecture from Scratch: Python + CAP + HANAA first-person build log of a Flask orchestrator on Cloud Foundry that reduces a question to keywords, searches a Node.js service's Documents entity, and passes what it finds to Claude for a grounded answer. Getting there means learning that HANA's fuzzy .search() matches one word but not a full sentence, fixed by splitting the query into terms and merging the per-term hits, and that provisioning SAP HANA Cloud hits a database-level free-tier quota rather than an HDI-container one, with a stopped instance needing to be resumed first. It also covers @sap/cds-dk needing to sit in dependencies rather than devDependencies, since Cloud Foundry's buildpack skips the latter, before cds deploy --to hana can run as part of the push.neilaspin, published 2026-07-28
Case-insensitive filters in Fiori Elements (List report + CAP)Case-insensitive filters in Fiori Elements (List report + CAP)A blocker rather than a feature: filters on a List Report are case-sensitive, the business wanted them not to be, and the CAP backend is where it gets fixed. Node and Java both.Kishannaicker, published 2022-04-26
Improved Search Performance in SAP BTP Core, SAP Cloud Application Programming Model, Node.js RuntimeImproved Search Performance in SAP BTP Core, SAP Cloud Application Programming Model, Node.js RuntimeExplains CDS version 5's @cds.search annotation, which lets a service declare which elements a search query covers, and states that only String-typed elements are searched by default so the generated SQL stays simple. Covers two further changes to @sap/cds's Node.js runtime: metadata about which elements are searchable is now cached, and search over localized text can resolve at query time instead of through a compiled view, avoiding a coalesce function that blocks filter push-down on SAP HANA. Also describes an experimental toggle, cds.env.features.optimized_search, that lets the runtime choose the CONTAINS predicate over LIKE for large data sets.published 2021-08-18
Semantic search in CAP (Node.js): vector embeddings and cosine similaritySemantic search in CAP (Node.js): vector embeddings and cosine similarityFinding the best semantic match for a prompt inside an entity, using local vector embeddings and cosine similarity — and the finding the author leads with is that it works without a vector database at all. Reported as experiments rather than as a pattern, which is the honest register for it: the interesting claim is how little infrastructure the simple case needs.published 2025-12-09
Understanding Fuzzy Search in SAP Fiori ApplicationsUnderstanding Fuzzy Search in SAP Fiori ApplicationsExplains SAP HANA Enterprise Search's fuzzy, relevance-ranked matching behind Fiori's global search bar, its exact-match Search Query Syntax operators, and how a CAP CDS project on @sap/cds tunes the gap between them with @cds.search and @Search.fuzzinessThreshold, shown on a Contracts entity's contractNumber field. Raising the threshold to 0.95 narrows that field to near-exact matches for structured identifiers such as contract numbers, while an unset field keeps HANA's default (~80%) fuzziness for broader free-text discovery.Ruchi5, published 2026-07-27
My CAP Projects ToolboxMy CAP Projects ToolboxA working inventory of daily CAP tooling: scaffolding a project with cds init and growing it facet by facet through cds add (TypeScript, seed data, an .http test file, a handler stub), then running it with cds watch and setting a breakpoint in a custom handler from SAP Business Application Studio's JavaScript Debug Terminal. It also walks through an @open entity that accepts properties the model never declared, and reading temporal data defined with CAP's temporal aspect, where a plain read returns only what is valid now and a custom handler is needed to retrieve every time slice.vvdries, published 2024-12-23
SAP Cloud Application Programming Model（CAP）：カスタムロジックの実装 – Part 2SAP Cloud Application Programming Model（CAP）：カスタムロジックの実装 – Part 2A walkthrough of implementing custom logic in a CAP Node.js service for the capire bookshop sample, registering before, on and after handlers around the generated CRUD service for its Books and Orders entities. The before handler validates an incoming order's amount and runs a transactional CQN UPDATE to decrement stock, raising a 400 or 409 through req.error when the amount is invalid or no rows match; an after handler on READ appends a discount note to overstocked books.rasai, published 2021-01-01
A simple example of a SAP RAP Application based on Legacy API without UUID keysA simple example of a SAP RAP Application based on Legacy API without UUID keysWalks through building a managed RAP business object over the Flight Reference Scenario's Travel and Booking entities with unmanaged save and late numbering, so CRUD operations route through the legacy /DMO/FLIGHT_TRAVEL_CREATE, _UPDATE and _DELETE function modules instead of generated persistence, a worked case of ABAP's transactional model. Covers the ADJUST_NUMBERS and SAVE_MODIFIED saver methods that map preliminary draft keys to the legacy-assigned travel and booking IDs, and a GetDefaultsForBookings action that proposes the next booking ID during draft handling.cseijas, published 2025-09-01
BEHAVIOR_ILLEGAL_STATEMENT dump | Technical workaroundsBEHAVIOR_ILLEGAL_STATEMENT dump | Technical workaroundsThe BEHAVIOR_ILLEGAL_STATEMENT dump fires in SAP RAP when an explicit COMMIT WORK or ROLLBACK WORK, or a direct database write, collides with RAP's own transactional model: a Logical Unit of Work split into an interaction phase, where changes sit in a transactional buffer, and a save sequence that validates and persists them. The post then names four ways to move the offending statement into a separate task instead — the Background Processing Framework, parallel processing, Application Jobs, or, on-premise only, a wrapper RFC function module called with DESTINATION 'NONE' — pointing to further reading for each rather than working through any of them here.PranayGaroo, published 2025-08-11
BO Interface APIs : An alternative to BAPIs and traditional FMsBO Interface APIs : An alternative to BAPIs and traditional FMsWalks through updating an S/4HANA Purchase Order's line items through a released BO interface instead of a BAPI, using EML against the underlying CDS entity and a COMMIT ENTITIES statement because the call sits outside a behavior class. Argues the BO interface route avoids a RAP behavior class's restriction against calling COMMIT WORK directly, and covers finding a released interface's CRUD operations on api.sap.com and extending the same approach to a custom field or a custom RAP-based Fiori app's own BO.Sudhan_Nagarajan, published 2025-07-02
Creating Material Master Data in SAP S/4HANA Using RAP and EML .Creating Material Master Data in SAP S/4HANA Using RAP and EML .Builds an unmanaged Transactional model RAP business object for Article (Material) master data on top of the standard interface views I_Product, I_ProductDescription and I_ProductPlant, replacing BAPI_MATERIAL_SAVEDATA with EML operations in the create, update and custom extendplant behaviour methods. A CDS metadata extension adds the Fiori annotations — headerInfo, facets, line items and value helps — that drive the generated Fiori elements UI.Sudhanshu07, published 2026-01-08
Explore SAP Fiori elements for ABAP developersExplore SAP Fiori elements for ABAP developersSAP Fiori elements for an ABAP developer who now builds the UI as well as the RAP business object behind it, the transactional model of ABAP Cloud, in SAP Business Application Studio; the abstract calls the UI side new territory for that developer, and a Fiori elements app is rendered from the service's Fiori annotations rather than hand-written UI code. The abstract names the tool and the stack and does not say which floorplan or annotations are shown. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Björn Schulz, written here from SAP's abstract; the recording is not yet published.
Level up app development: ABAP Cloud model innovations and Joule solutionLevel up app development: ABAP Cloud model innovations and Joule solutionThe ABAP RESTful application programming model, in SAP's abstract, generates multi-node business objects and adds event-driven side effects, collaborative draft, background processing and analytical tables, with the SAP Joule for Developers, ABAP AI capabilities add-on used to speed development up. The generated business objects are the transactional model concern; the abstract names each feature and says nothing about how it is used. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Anne Keller, Carine Tchoutouo Djomo, Frank Jentsch and Marina Blank, written here from SAP's abstract; the recording is not yet published.
Mastering Internal Actions in SAP RAP: Automatic Header Calculation in ABAP CloudMastering Internal Actions in SAP RAP: Automatic Header Calculation in ABAP CloudWalks through a sales-order BDEF where an item-level determination triggers a header-only internal action by EML in local mode, so a quantity or price change recalculates the order total and applies a 10% discount above $10,000 without a UI button or external OData call reaching the logic directly. Argues for an internal action over inline determination code on reusability and separation of concerns: a determination decides when logic runs, the action decides what runs, and marking it internal keeps Fiori Elements and external OData clients from invoking it.sharathtm, published 2026-08-06
ABAP code to wait for the end of "inbound bgRFC type Q" unitsABAP code to wait for the end of "inbound bgRFC type Q" unitsWalks through inbound bgRFC type Q — ABAP's queue-based flavor of async processing built on background remote function calls — and gives a helper ABAP class that polls cl_qrfc_client_inbound for each unit's and queue's state until every unit submitted across a set of parallel qRFC queues has finished. The method assumes no single unit spans more than one inbound queue, and the author flags the classes it relies on, cl_qrfc_client_inbound=>get_unit_state and get_queue_state, as unverified for this use.Sandra_Rossi, published 2025-10-07
Automate BTP Custom Domain certificates using Let's EncryptAutomate BTP Custom Domain certificates using Let's EncryptCertificate lifecycle management as an application: a CAP backend, a Fiori elements UI, the Custom Domain service, Cloud Foundry routes and the Job Scheduler, so requests, renewals and cleanup stop being manual. Part two of the author's BTP Toolbox.Ben, published 2026-03-19
Beginners Guide to Advanced Event MeshBeginners Guide to Advanced Event MeshA scenario-by-scenario walkthrough of Advanced Event Mesh, run through Cloud Integration iFlows: publishing and consuming queue messages, dead message queue setup with retry counts and acknowledgment modes, direct messages, durable topic endpoints and selectors, time-to-live, REST Delivery Points, replay by replication group message ID, parallel consumers with partition keys, and the request-reply pattern. Each scenario is built and verified step by step against a Solace trial account standing in for AEM.PriyankaChak, published 2025-07-24
Cloud-Native with ABAP Cloud – The Transactional Outbox PatternCloud-Native with ABAP Cloud – The Transactional Outbox PatternImplements the transactional outbox pattern in ABAP Cloud's background processing framework (bgPF): a RAP business object's save sequence registers a bgPF handler implementing IF_BGMC_OP_SINGLE, and the RAP runtime runs it, and only then emits the message, after the database commit succeeds, so a rolled-back transaction emits nothing. The post walks through the full working example published as SAP-samples/abap-platform-rap-transactional-outbox-with-bgpf.published 2025-11-12
DIY JDBC Sender Adapter for SAP Integration SuiteDIY JDBC Sender Adapter for SAP Integration SuiteSimulates the JDBC Sender Adapter that SAP Integration Suite dropped from SAP PO by polling a source database with a Request/Reply step, triggered by a configurable scheduler or a manual HTTP call, and writing the result to a DataStore or JMS Queue to decouple polling from mapping and insertion. Retries run against a configured maximum, a failed batch escalates to a Dead Letter Queue once they are exhausted, and a mapping failure skips retries and escalates straight away from its own local subprocess. The author reports migrating several SAP PO scenarios onto this flow design and offers a reusable template on request.lanza, published 2025-10-21
Event Mesh + AMQP: The Retry Trap Nobody Warns You AboutEvent Mesh + AMQP: The Retry Trap Nobody Warns You AboutWorks through two patterns for retrying failed messages from Event Mesh's AMQP sender adapter on Cloud Integration, whose native retry has no configurable delay or backoff: bridging into a JMS queue for full exponential-backoff control, or looping messages through a dedicated retry queue with a TTL and a Dead Message Queue. Compares both against a Groovy sleep() workaround that blocks the adapter's connection and the runtime's worker thread, and shows that Advanced Event Mesh's own adapter ships configurable retry interval, backoff and broker-side redelivery without either workaround.MateuszPiotrowski, published 2026-03-09
Quick tip: event/task scheduling in CAP Node.js (in alpha state)Quick tip: event/task scheduling in CAP Node.js (in alpha state)A note on something spotted in capire's May 2025 release notes rather than a technique: CAP Node.js is to support scheduling events — actions and functions included — with callbacks, currently alpha and explicitly subject to change. Useful as a dated marker of the core moving into ground the community has been covering, and the alpha caveat is the point rather than a footnote.published 2025-10-30
SAP CAP(Cloud Application Programming)开发框架概述SAP CAP(Cloud Application Programming)开发框架概述A Chinese-language walkthrough of CAP built mainly from CAPire's own "About CAP" page: CDS entities, associations, compositions and aspects for data modelling, with an extend Books with @restrict: [{ grant:'WRITE', to:'admin' }] aspect as its authorization example; CQL and CQN queries shown against both a local service and OData's $select/$expand; and the service-and-event model — this.on, this.emit, srv.on — that carries CAP's async processing. It closes with the author's own setup: installing @sap/cds-dk, scaffolding a bookshop project with cds init, and running it with cds watch against local SQLite, mocked authentication and file-based messaging standing in for HANA Cloud, IAS and Kafka.ArthurYang, published 2024-01-07
SAP Job Scheduling Service + Cloud Application Programming Model application (CAP) + SAP Authorization and Trust Management Service (XSUAA)SAP Job Scheduling Service + Cloud Application Programming Model application (CAP) + SAP Authorization and Trust Management Service (XSUAA)Calling an unsecured endpoint on a schedule is trivial; this is the same thing once the endpoint is protected. The interesting part is the caller — the Job Scheduling Service is not a person, so CAP's pseudo-roles are where the post spends its time, and $XSSERVICENAME has to match the scheduler's own instance name.former_member412792, published 2022-12-12
Triggering Background Jobs from RAP Actions – A Practical GuideTriggering Background Jobs from RAP Actions – A Practical GuideWalks through a RAP business object whose Saver Class calls a function module IN BACKGROUND TASK from the save phase, and that function module in turn uses JOB_OPEN, SUBMIT ... VIA JOB and JOB_CLOSE to schedule a classic background job that finishes the long-running work, so the triggering UI transaction stays lightweight. The mechanism shown — an asynchronous function-module call plus a submitted executable report — is Standard ABAP background processing rather than ABAP Cloud's released scheduling APIs.Arshiya2, published 2026-04-15
Completing the B2B migration into SAP Integration Suite visionCompleting the B2B migration into SAP Integration Suite visionWalks through migrating SAP PI's B2B integrations — EDIFACT, X12 and other partner formats — into Trading Partner Management in SAP Integration Suite: recording test messages from SAP PI, creating partner profiles, and filling a Self Partner Agreement template that references the MIG and MAG guidelines SAP's own migration path builds on. The author's migration tool, Figaf, turns each Operation Mapping into a Process Direct flow, carrying its UDFs to Groovy or SAP's Cloud Integration Function Libraries, then reruns the recorded test cases against the result.DG, published 2025-09-09
Onboard a trading partner from agreement to live monitoringOnboard a trading partner from agreement to live monitoringOne trading partner onboarded from scratch in Trading Partner Management: a trading partner agreement configured, a business document mapped with ML-assisted mapping proposals, which is B2B message mapping, and a transaction run and monitored live, all inside SAP Integration Suite with no EDI tooling outside it. The abstract names the steps and not the document standard or the partner's protocol. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Claudia Carabineiro, Marco Ertel, Marton Luptak and Tobias Griebe, written here from SAP's abstract; the recording is not yet published.