步骤1：准备源数据
GaussDB 200支持将存在远端服务器上的TEXT、CSV和FIXED格式的数据导入到集群中。本教程以CSV格式的数据为例进行演示。其他两种格式，方法相同，只在外表的相关参数项设置上有差异，详细请参见通过外表并行导入。
准备数据源文件
为了演示如何导入多个文件，此教程使用如下3个CSV格式的数据文件作为示例进行讲解。在实际场景中，数据源文件通常是从其他数据库导出的。此教程出于操作的便利性，手动生成对应的CSV格式数据源文件。
- 数据文件“product_info0.csv”
示例数据如下所示：
100,XHDK-A,2017-09-01,A,2017 Shirt Women,red,M,328,2017-09-04,715,good! 205,KDKE-B,2017-09-01,A,2017 T-shirt Women,pink,L,584,2017-09-05,40,very good! 300,JODL-X,2017-09-01,A,2017 T-shirt men,red,XL,15,2017-09-03,502,Bad. 310,QQPX-R,2017-09-02,B,2017 jacket women,red,L,411,2017-09-05,436,It's nice. 150,ABEF-C,2017-09-03,B,2017 Jeans Women,blue,M,123,2017-09-06,120,good.- 数据文件“product_info1.csv”
示例数据如下所示：
200,BCQP-E,2017-09-04,B,2017 casual pants men,black,L,997,2017-09-10,301,good quality. 250,EABE-D,2017-09-10,A,2017 dress women,black,S,841,2017-09-15,299,This dress fits well. 108,CDXK-F,2017-09-11,A,2017 dress women,red,M,85,2017-09-14,22,It's really amazing to buy. 450,MMCE-H,2017-09-11,A,2017 jacket women,white,M,114,2017-09-14,22,very good. 260,OCDA-G,2017-09-12,B,2017 woolen coat women,red,L,2004,2017-09-15,826,Very comfortable.- 数据文件“product_info2.csv”
示例数据如下所示：
980,"ZKDS-J",2017-09-13,"B","2017 Women's Cotton Clothing","red","M",112,,, 98,"FKQB-I",2017-09-15,"B","2017 new shoes men","red","M",4345,2017-09-18,5473 50,"DMQY-K",2017-09-21,"A","2017 pants men","red","37",28,2017-09-25,58,"good","good","good" 80,"GKLW-l",2017-09-22,"A","2017 Jeans Men","red","39",58,2017-09-25,72,"Very comfortable." 30,"HWEC-L",2017-09-23,"A","2017 shoes women","red","M",403,2017-09-26,607,"good!" 40,"IQPD-M",2017-09-24,"B","2017 new pants Women","red","M",35,2017-09-27,52,"very good." 50,"LPEC-N",2017-09-25,"B","2017 dress Women","red","M",29,2017-09-28,47,"not good at all." 60,"NQAB-O",2017-09-26,"B","2017 jacket women","red","S",69,2017-09-29,70,"It's beautiful." 70,"HWNB-P",2017-09-27,"B","2017 jacket women","red","L",30,2017-09-30,55,"I like it so much" 80,"JKHU-Q",2017-09-29,"C","2017 T-shirt","red","M",90,2017-10-02,82,"very good."CSV（Comma Separated Values），逗号分隔值。.csv类似于.txt、.doc等，是一种文件格式。也可理解成是一种特殊格式的纯文本文件。文件内容由记录组成，每条记录被逗号或制表符（Tab）分隔为字段，且每条记录都有同样的字段序列。在Windows系统环境下.csv文件打开方式有多种，如记事本、Excel、Notepad++等。
以下是Windows下生成.csv文件的办法：
- 新建文本文档并使用notepad++打开后，将示例数据拷贝进文本文档中。注意拷贝后检查下数据的行数及数据分行的正确性。
- 选择“格式>以UTF-8无BOM格式编码”。
- 选择“文件>另存为”。
- 在弹出的对话框中输入文件名后，单击“保存”。
出于标识的目的，输入文件名的时候，建议将文件后缀设为.csv。
将数据源文件上传至数据服务器
- 以root用户登录用于存放数据源文件的服务器（又称数据服务器或GDS服务器）192.168.0.90。
- 创建数据文件存放目录“/input_data”。
mkdir -p /input_data- 使用MobaXterm将数据源文件上传至上一步所创建的目录中。
查看更多：华为GaussDB 200 教程：使用GDS从远端服务器导入数据
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- 数据文件“product_info1.csv”
