GaussDB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、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“编码 > 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

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。

父主题： 教程：使用GDS从远端服务器导入数据

同意关联代理商云淘科技，购买华为云产品更优惠（QQ 78315851）

内容没看懂？ 不太想学习？想快速解决？ 有偿解决： 联系专家