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838 articles
For supply-chain integration scenarios, this guide details how to use the Qeasy data integration platform to incrementally pull customer master data from Kingdee Cloud into the middleware layer based on modification time, then distribute it downstream. Covers field mapping, platform configuration, scheduling strategy, lessons learned, and applicable boundaries.
This guide zooms in on one concrete strategy: syncing simple production inbound orders from a source ERP to other inbound orders in a target WMS. It walks through the business pain point, data flow, field mapping, configuration in the Qeasy integration platform, phased scheduling, and 3-5 lessons learned from real rollouts.
This guide focuses on the specific sync strategy of pushing Kingdee Cloud Galaxy disassembly order sub-items into Jushuitan other inbound orders. It covers data flow, field mapping, Qeasy configuration essentials, phased scheduling, and lessons learned, suitable for supply chain integration projects that need to bridge disassembly and inbound processes.
This walkthrough focuses on a single strategy that pushes inventory from an ERP system to a retail frontend. It covers source queries, field mapping, target-side payload assembly, the boundary between incremental and full syncs, and real pitfalls we have seen in the field.
Using student master data as the example, this guide dissects a single sync strategy that paginates records from an external system and writes them into Kingdee Cloud via encoding mapping. It covers data flow, field mapping, key Qeasy configuration points, phased scheduling, and five lessons learned.
This tutorial walks through one concrete strategy—syncing Kingdee Cloud Stellar's offline miscellaneous delivery notes into Jike Cloud sales orders. It covers bill-type filtering, flat-data grouping by FBillNo, sellerMemo for reverse lookup, and the P4-211 logistics callback loop, with field mapping tables, configuration essentials, and field-experience pitfalls.
This tutorial aggregates hands-on experience from multiple real customer projects on integrating Jushuitan with Kingdee Cloud Cosmic for supply chain scenarios. It covers 25 integration strategies, key document field mappings, incremental sync mechanisms, code mapping, exception handling, and scheduling strategies, enabling engineers to master all key interface points of this integration scenario in one read.
For private-deployment supply-chain integration, this article walks through an inventory-calibration strategy that syncs stock positions from Kingdee Cloud to Wangdian Tong·Qimen. It covers field mapping, scheduling cadence, centralized code mapping, and the pitfalls we have seen on real projects.
This tutorial focuses on the single strategy of syncing sales outbound orders from Jushuitan to Kingdee Cloud (non-Qimen, Pinduoduo channel). It walks through business context, field mapping, Qeasy platform configuration, phased scheduling, and lessons learned from real-world rollouts.
Using the sync of sales outbound orders from an e-commerce mid-platform to ERP as an example, this article walks through the full implementation path of a single strategy on the Qeasy data integration platform, covering data flow, field mapping, configuration points, phased scheduling, and common pitfalls.
This tutorial aggregates multi-customer实战经验 to systematically dissect the YonBIP Sales Order query API (/yonbip/sd/voucherorder/list), covering field meanings, request/response structure, pagination, and pitfalls. It addresses detail-line primary keys, status enums, incremental sync, and org/customer/product mapping for CRM-ERP order integration.
This article zooms in on one concrete strategy: synchronizing sales outbound red-stub documents from an upstream system into sales return vouchers in a downstream ERP. It walks through field mapping, scheduling design, and field-tested pitfalls on the Qeasy integration platform, written for engineers running supply-chain integrations in private deployments.
In retail and distribution sales order integration pipelines, source documents accumulate rapidly and put stress on log tables and middleware databases. This article walks through a real-world request from a retail enterprise, explaining the data flow, field mapping, Qeasy configuration points, scheduling design, and on-site lessons learned for the "delete data older than 90 days" strategy.
This article focuses on a specific strategy—aggregating resigned employee account data from MySQL multi-source systems and pushing it to DingTalk as Markdown messages. It breaks down the data flow, field mapping, key Qeasy configuration points, staged scheduling implementation, and pitfall lessons, helping enterprise IT teams quickly replicate an observable and governable alert synchronization chain in private deployment environments.
This tutorial systematically organizes the field definitions, incremental and pagination mechanisms of the Jushuitan /open/supplier/query API, as well as the mapping essentials with Kingdee Cloud Skylight supplier master data. Based on practical experience from multiple customer projects, it distills common pitfalls and platform configuration methods, providing an authoritative reference for supplier master data synchronization in supply chain integration.
电商财务对账做到 80% 后撞上的那堵墙，根源不在引擎、不在 ERP，而在「差异原因」字段是不是结构化。本文拆解 v3 对账体系里最容易被忽视、却承担 80% 自动化收益的工程支点——「机读码 + 人读建议」双轨设计：23 个 `diffReason` 给机器消费、决定下游集成脚本按码精准出单；`diffDisposalSuggestion` 给人阅读、保留财务手补痕迹不被自动重跑清空。这对字段采用**不对称落库语义**，正是把对账从「工程实现」升级为「业务规范」的关键设计。
SAP ECC（SAP ERP Central Component）是 SAP 在 R/3 之后推出的「上一代核心 ERP」——自 2004 年首发、随版本演进至 ECC 6.0 EHP8，至今仍在全球 30,000+ 大中型集团的核心生产环境里跑着。SAP 已官宣 ECC 标准维护到 **2027 年彻底停止**、延伸维护按订阅制付费到 2030 年。这意味着每一个还在 ECC 上的 SAP 客户，未来 12-36 个月里都要做一次「是否迁移到 S/4HANA」的决策。SAP ECC 与 SAP S/4HANA 的关键差异不是「升级」，而是「重做」：① 数据模型从「行存储透明表」迁到「CDS View + 列存储」，② API 体系从 BAPI/RFC/IDoc 迁到 OData V4 + RAP，③ 集成中间件从 SAP PI/PO 迁到 SAP BTP Integration Suite。本文给 CTO / ERP 实施一份完整的 ECC 对账接入路径——SAP JCo / SAP NCo 客户端、RFC / BAPI / IDoc 三大接口体系、SNC 认证体系、集成中心的 S
当一份对账差异表里有 14 行 FAILURE，传统的呈现方式是「自由文本 + 数字」。审计师拿到这张表的第一反应是「我需要把每一行的差异原因重新归类」——这一步往往占去 60-70% 的现场工时。23 个业务标签码（diffReason + diffDisposalSuggestion 双字段）做的就是把这一步从「现场归类」前移到「系统标注」：每条差异在落到数据库那一刻就带上了「机读码」与「中文处理建议」两个标签，审计师拿到的是一张可机读、可分组、可穿透到凭证的差异地图，而不是一锅自由文本。
业务人员反复在同一个地方犯嘀咕——"我只改了分摊脚本，run-allocate 一下怎么就把订单明细清掉一列又重写？"这不是 bug，是双模式的代价。「公摊」用 **实时**（E1：先撤旧再累写），「订单费用下沉」用 **覆盖式**（E11：先清零再 set 写）。本文不抽象，给业务人员和财务经理一份 4 维度对比 + 3 步选择法，把"我什么时候该期望哪种行为"讲明白。
2026 年 3 月某日凌晨 2 点，对账生产环境的监控告警响了——IncomePlan: reconciling 状态的 JobTask 堆积 47 个，平均运行时长 38 秒（正常是 2 秒），同时 MEMORY_SANDBOX_RSS 指标曲线呈陡崖式上升。SRE 在告警面板上看到的是一行行没头没尾的"沙箱执行超时"。
