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Day 22/50 — SOAP vs REST in SAP CPI #50Days50QuestionsOfCPI

SOAP is a protocol with WSDL contracts, XML envelopes, and enterprise features like WS-Security and WS-ReliableMessaging—great for transactional, contract-driven integrations.
REST is a resource-oriented style using HTTP verbs, URIs, and formats like JSON—ideal for public APIs, microservices, and mobile/web where performance and caching matter.
In SAP CPI you’ll typically use SOAP/HTTP adapters, secure with HTTPS/OAuth2 or WS-Security, and decide based on governance needs, payload size, ordering/reliability, and client support.

#50Days50QuestionsOfCPI #SOAP #REST #SAPCPI #SAPIntegrationSuite #API #WebServices #OpenAPI #WSDL #OAuth2 #WSSecurity #OData #HTTP #Microservices #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 3

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Day 21/50 — What is Cloud Connector (SCC)? #50Days50QuestionsOfCPI

SAP Cloud Connector (SCC) is a lightweight on-premise agent that creates a secure outbound tunnel from your network to an SAP BTP subaccount. You virtualize & allowlist specific on-prem hosts/paths, and BTP services (like SAP CPI/Cloud Integration) can reach only those approved resources via the On-Premise connectivity type. Benefits include no inbound firewall holes, mutual TLS, fine-grained access control, auditing, Location ID routing, and HA pairing. Typical uses: exposing HTTP/OData/SOAP services from SAP or non-SAP systems to CPI and BTP apps. Keep allow-lists tight, rotate certs, and monitor logs.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #SAPBTP #CloudConnector #OnPremiseConnectivity #Security #TLS #PrincipalPropagation #DMZ #IntegrationPatterns #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 2

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Day 20/50 — Error Analysis in SAP CPI. #50Days50QuestionsOfCPI

Start in Monitor → Message Processing: filter by time/iFlow/status and open the failed instance to read the error stack and step timeline. If details are missing, enable Trace, reproduce the issue, and download payloads/headers/properties for the failing step.

Check whether the failure is adapter/connectivity (URL, auth, certs, proxies, timeouts, HTTP codes) or content/mapping (XSLT/Message Mapping, Groovy exceptions, namespaces, Value Mapping). Use Correlation IDs, review JMS/Data Store for queued/staged messages, and validate QoS (BE/EO/EOIO). Reprocess safely (replay from JMS/Data Store or resend) and design for idempotency. Add Log/Attachment steps, mask secrets, and document root causes to prevent regressions.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #ErrorAnalysis #Monitoring #Trace #MessageProcessing #Groovy #Adapters #JMS #DataStore #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago (edited) | [YT] | 1

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Day 19/50 — Looping Process Call in SAP CPI (repeat a Local Integration Process until a condition is met). #50Days50QuestionsOfCPI

Looping Process Call (LPC) repeatedly invokes a Local Integration Process (LIP) within the same iFlow while a loop condition is true. Each iteration can update headers/properties/body to drive the next loop (e.g., pagination via nextLink, chunking large payloads, polling until a status flips, or controlled retries).
Guard your loop with max iterations/time budgets, log iteration counters, and add early-exit checks to avoid infinite loops. For long-running or heavy workloads, consider asynchronous designs (e.g., JMS + scheduler). Handle errors inside the LIP’s Exception Sub-process, deciding whether to continue or break the loop.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #LoopingProcessCall #LocalIntegrationProcess #Pagination #Retries #Polling #IntegrationPatterns #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 1

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Day 18/50 — Local Integration Process (LIP) in SAP CPI (modularize & reuse logic within one iFlow). #50Days50QuestionsOfCPI

A Local Integration Process (LIP) is a reusable sub-process inside the same iFlow. You invoke it via Process Call → Local Integration Process, execute shared steps (validation, enrichment, mappings), and return to the caller. LIPs run in the same message exchange, so body, headers, and properties are visible to—and modifiable by—the LIP. Use them to keep designs clean, avoid duplication, and standardize repeated logic. For cross-iFlow reuse, expose a separate iFlow (HTTP/ProcessDirect). Keep LIPs focused, document their inputs/outputs (via properties/headers), and handle errors with a local Exception Subprocess or let them bubble to the caller.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #LocalIntegrationProcess #ProcessCall #MessageMapping #ContentEnrichment #IntegrationPatterns #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 1

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Day 17/50 — Splitter + Gather: how Gather knows it’s the last split (CamelSplitIndex/Size/Complete). #50Days50QuestionsOfCPI

In SAP CPI, when you use Splitter → Gather, the Splitter stamps each sub-message with sequence metadata:

CamelSplitIndex (0..N-1)

CamelSplitSize (N)

CamelSplitComplete = true (on the final part)

Gather uses these to detect completion and merge the pieces. With combine-in-sequence, it orders by CamelSplitIndex; with combine, it appends in arrival order. If a split message fails or is filtered out, Gather may wait or time out—so ensure every split reaches the Gather or handle exceptions accordingly.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #Splitter #Gather #CamelSplitIndex #CamelSplitSize #MessageAggregation #IntegrationPatterns #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 2

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Day 16/50 — Data Store Operations in SAP CPI (WRITE • GET • SELECT • DELETE). #50Days50QuestionsOfCPI

In SAP CPI, Data Store lets you persist and retrieve messages for async patterns, correlation, and reprocessing.

WRITE: store a message with an Entry ID (+ optional TTL).

GET: read a message by ID or a previously reserved entry.

SELECT: query & reserve entries by header/property conditions (filter/sort/limit).

DELETE: remove specific or selected entries for clean-up and purging.

Design unique IDs, keep correlation keys in headers/properties, and choose TTL based on your reprocessing window. Monitor via Manage Stores → Data Stores.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #DataStore #Write #Get #Select #Delete #Reprocessing #Correlation #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 3

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Day 15/50 — Externalization of Parameters in SAP CPI (configure per environment without code changes). #50Days50QuestionsOfCPI

Externalization of Parameters lets you expose iFlow & adapter fields (URLs, paths, timeouts, headers/properties, Content Modifier constants, script/XSLT params, JMS names) as named parameters. You then set their values in Configure during deploy—so the same artifact works across Dev/Test/Prod with different settings.

Use Secure Parameters/Security Material aliases to keep secrets out of the artifact and masked in logs. Follow naming conventions, provide sensible defaults, and document owners/ranges. Watch for pitfalls like renamed parameters breaking bindings, missing defaults, type/format mismatches, forgetting URL-encoding, or leaking secrets via logs.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #ExternalizedParameters #SecureParameters #ConfigurationProfiles #DevTestProd #IntegrationPatterns #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 4

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Day 14/50 — Aggregator vs Gather in SAP CPI (stateful grouping over time vs merge within one run). #50Days50QuestionsOfCPI

n SAP CPI, Aggregator and Gather both combine messages—but in different contexts.
Aggregator groups multiple related messages over time (by a correlation key) and releases when a completion condition is met (count, timeout, size, etc.). It’s stateful/persistent, good for batching and windowing.

Gather merges parallel branch outputs in the same iFlow execution (usually after Multicast + Join). It’s stateless across runs, with simple strategies like combine or combine-in-sequence.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #Aggregator #Gather #Join #Multicast #IntegrationPatterns #EO #EOIO #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 3

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Day 13/50 — What is JMS Queue in SAP CPI? (async buffering, retries, and decoupling). #50Days50QuestionsOfCPI

In SAP CPI, a JMS Queue is a durable, FIFO point-to-point channel on the Integration Suite JMS broker. Producers enqueue and consumers dequeue, which decouples systems, absorbs spikes, and supports retries/back-pressure. With proper adapter/QoS settings you can control ordering and delivery (Best Effort, Exactly Once, Exactly Once In Order). Use JMS for async API intake, batch offloading, guaranteed handoff between iFlows, or when downstream is slow/unreliable. Monitor via Manage Stores → JMS Queues to watch depth, consumers, and purge/replay if needed.

#50Days50QuestionsOfCPI #SAPCPI #SAPIntegrationSuite #CloudIntegration #iFlow #JMS #Queue #Asynchronous #Retry #BackPressure #IntegrationPatterns #SAPBTP #SAPDevelopers #EnterpriseIntegration #LearnWithAmish

1 month ago | [YT] | 3