SAP Master Data Collecting

本文详细介绍了SAP销售与分销(SD)模块中各类主数据的存储表格及其作用,包括客户、供应商、物料、条件及组织结构等主数据,并概述了文档主数据的相关信息。

1. Master Data in SD
http://help.sap.com/printdocu/core/Print46c/en/data/pdf/SDBF/SDBF.pdf
http://www.abap.es/Descargas/TAB%20-%20Relacion%20de%20las%20tablas%20por%20modulos.PDF

Customer Master Data : or for that matter various business partners, we maintain data for them also called as the customer master data or vendor master data like that.
Tables: KNA1(General), KNB1(Company Code), KNVV(Sales)

Vender Master Data:
Tables: LFA1 (General Section), LFB1(Company Code)

Material master data : In addition to sales and distribution, other departments of the company such as accounting or materials management access the master data. The material master data is stored in a specific structure in order to allow access from these different views.
Tables: MARA(General), MAKT(Description), MARM(Units of Measure), MARC(Plant), MLAN(Tax), MBEW(Valuation)

Condition master data : In sales and distribution, products are sold or sent to business partners or services are performed for them. Data about the products and services as well as about the business partners is the basis for sales processing. Sales processing with the SAP R/3 System requires that the master data has been stored in the system.
Tables: KONP, KONV, KONM, KOMV, KOMP

Organizational master data : Every company is structured in a certain way. In order to work with the SAP System your company structure has to be represented in the system. This is done with the help of various organizational structures.

Document master data : The processing of business transactions in sales and distribution is based on the master data. In the SAP R/3 System, business transaction are stored in the form of documents. These sales and distribution documents are structured according to certain criteria so that all necessary information in the document is stored in a systematic way.

Others: Routes, Tax Codes, Excise Master (in J1ID)

在遇到“没有名称为 `mod` 的模块”问题后出现 `Collecting mod` 相关情况,可从以下方面解决: ### 检查网络连接 `Collecting mod` 通常是 `pip` 开始收集模块信息的提示,若网络不佳可能导致收集失败。可使用以下命令测试网络: ```bash ping pypi.org ``` 若网络不通,需检查网络设置或更换网络环境。 ### 检查镜像源 使用国内镜像源可加快下载速度。可在 `pip` 配置文件(通常为 `~/.pip/pip.conf`)中添加以下内容,使用阿里云镜像源: ```ini [global] index-url=http://mirrors.aliyun.com/pypi/simple/ [install] trusted-host=mirrors.aliyun.com ``` 配置好后,使用 `pip` 安装 `mod`: ```bash pip install mod ``` ### 检查模块名称 确保模块名称拼写无误,大小写正确。Python 对模块名称大小写敏感。同时,确认该模块是否存在于 Python Package Index(PyPI)中。 ### 检查虚拟环境 若使用虚拟环境,确保环境已激活,且该环境中可以正常安装模块。激活虚拟环境后,再次安装: ```bash source your_venv/bin/activate pip install mod ``` ### 检查 `pip` 版本 `pip` 版本过旧可能导致安装问题。可使用以下命令更新 `pip`: ```bash pip install --upgrade pip ``` 更新后再尝试安装 `mod`。 ### 检查权限问题 若在系统级别安装模块,可能需要管理员权限。可使用 `sudo` 命令安装: ```bash sudo pip install mod ``` ### 手动下载安装 若 `pip` 安装失败,可手动从 PyPI 下载模块的 `.whl` 或 `.tar.gz` 文件,然后使用 `pip` 本地安装: ```bash pip install /path/to/mod.whl ``` ### 检查依赖冲突 某些模块可能依赖其他特定版本的模块,依赖冲突可能导致安装失败。可使用 `pipdeptree` 工具查看依赖关系: ```bash pip install pipdeptree pipdeptree ``` 根据输出结果解决依赖冲突。 ### 检查系统 Python 与虚拟环境链接 确保系统 Python 与虚拟环境链接正常,若链接断开可能导致模块无法安装。可重新创建虚拟环境解决此问题: ```bash python -m venv your_venv source your_venv/bin/activate pip install mod ``` ### 检查文件冲突 项目根目录或工作路径下可能存在与模块同名的文件,导致冲突。检查并删除这些文件后再尝试安装。
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