如何将包含的数据导入
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本文使用的csv文件从这个链接里下载：
http://grouplens.org/datasets/movielens/latest/
SAP HANA XS) enables you to create database schema, tables, views, and sequences as design-time files in the repository.
这个练习里，我们将会使用SAP HANA Extended Application Services (XS）提供的database schema,tables和views来实现数据导入的效果。
The HDBtable syntax is a collective term which includes the different configuration schema for each of the various design-time data artifacts, for example: schema (.hdbschema), sequence (.hdbsequence), table (.hdbtable), and view (.hdbview).
This is why we will be using the SAP HANA HDBtable syntax including Core Data Service (CDS) artifacts instead, which only requires the SAP HANA Web-based Development Workbench available with any SAP HANA MDC on the SAP Cloud Platform. All the objects will be created as design-time and will allow us to adapt the structure easily without reloading the data.
首先在SAP Cloud Platform Neo环境的HANA MDC实例里，打开HANA Web-based development workbench，切换到Catalog视图：
点击SQL，使用SQL语句创建一个新的user： MOVIELENS_USER
DROP USER MOVIELENS_USER CASCADE;CREATE USER MOVIELENS_USER PASSWORD Welcome18Welcome18 NO FORCE_FIRST_PASSWORD_CHANGE;ALTER USER MOVIELENS_USER DISABLE PASSWORD LIFETIME;call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.ide.roles::CatalogDeveloper＂ ,＂MOVIELENS_USER＂);call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.ide.roles::Developer＂ ,＂MOVIELENS_USER＂);call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.ide.roles::EditorDeveloper＂ ,＂MOVIELENS_USER＂);call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.xs.ide.roles::CatalogDeveloper＂ ,＂MOVIELENS_USER＂);call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.xs.ide.roles::Developer＂ ,＂MOVIELENS_USER＂);call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂sap.hana.xs.ide.roles::EditorDeveloper＂ ,＂MOVIELENS_USER＂);GRANT EXECUTE on _SYS_REPO.GRANT_ACTIVATED_ROLE TO MOVIELENS_USER WITH GRANT OPTION;GRANT EXECUTE on _SYS_REPO.GRANT_SCHEMA_PRIVILEGE_ON_ACTIVATED_CONTENT TO MOVIELENS_USER WITH GRANT OPTION;GRANT EXECUTE on _SYS_REPO.GRANT_PRIVILEGE_ON_ACTIVATED_CONTENT TO MOVIELENS_USER WITH GRANT OPTION;GRANT EXECUTE on _SYS_REPO.REVOKE_ACTIVATED_ROLE TO MOVIELENS_USER WITH GRANT OPTION;GRANT EXECUTE on _SYS_REPO.REVOKE_SCHEMA_PRIVILEGE_ON_ACTIVATED_CONTENT TO MOVIELENS_USER WITH GRANT OPTION;GRANT EXECUTE on _SYS_REPO.REVOKE_PRIVILEGE_ON_ACTIVATED_CONTENT TO MOVIELENS_USER WITH GRANT OPTION;GRANT ＂CREATE SCHEMA＂ TO MOVIELENS_USER;GRANT REPO.READ on ＂public＂ TO MOVIELENS_USER;GRANT REPO.MAINTAIN_IMPORTED_PACKAGES on ＂public＂ TO MOVIELENS_USER;GRANT REPO.MAINTAIN_NATIVE_PACKAGES on ＂public＂ TO MOVIELENS_USER;GRANT REPO.EDIT_NATIVE_OBJECTS on ＂public＂ TO MOVIELENS_USER;GRANT REPO.EDIT_IMPORTED_OBJECTS on ＂public＂ TO MOVIELENS_USER;GRANT REPO.ACTIVATE_NATIVE_OBJECTS on ＂public＂ TO MOVIELENS_USER;GRANT REPO.ACTIVATE_IMPORTED_OBJECTS on ＂public＂ TO MOVIELENS_USER;
执行后，该用户创建成功：
注销SYSTEM用户，使用新创建的用户登录：
切换到Editor视图：
在content节点下，右键菜单，新建一个Application：
Package维护成public.aa.movielens:
新建三个package，分别为data, hdb和service：
将之前链接里提供的csv文件导入data package内：
HANA schema是存放HANA数据库对象诸如表，视图，存储过程等的容器。
新建一个.hdbschema文件，内容如下：
schema_name=＂MOVIELENS＂:
再创建一个user.hdbrole文件：
内容如下：
role public.aa.movielens.hdb::user extends catalog role ＂sap.pa.apl.base.roles::APL_EXECUTE＂, ＂AFLPM_CREATOR_ERASER_EXECUTE＂, ＂AFL__SYS_AFL_AFLPAL_EXECUTE＂{ schema public.aa.movielens.hdb:MOVIELENS.hdbschema: SELECT, EXECUTE, CREATE ANY;}
这个role定义了我们创建的这个应用工作时需要的权限：
最后创建CDS artifacts：
新建一个data.hdbdd文件：
namespace public.aa.movielens.hdb;@Schema : ＂MOVIELENS＂context ＂data＂ { @Catalog.tableType : #COLUMN Entity LINKS { key MOVIEID : Integer; IMDBID : Integer; TMDBID : Integer; }; @Catalog.tableType : #COLUMN Entity MOVIES { key MOVIEID : Integer; TITLE : String(255); GENRES : String(255); }; @Catalog.tableType : #COLUMN Entity RATINGS { key USERID : Integer; key MOVIEID : Integer; RATING : hana.SMALLDECIMAL; TIMESTAMP : Integer; }; @Catalog.tableType : #COLUMN Entity TAGS { key USERID : Integer; key MOVIEID : Integer; key TAG : String(255); TIMESTAMP : Integer; };};
使用下列的SQL语句将新创建的user role分配给用户MOVIELENS_USER:
call _SYS_REPO.GRANT_ACTIVATED_ROLE (＂public.aa.movielens.hdb::user＂,＂MOVIELENS_USER＂);
创建一个table-import配置文件，在里面指定存储于csv文件里的数据，按照怎样的逻辑写入HANA MDC的持久化对象，比如数据库表里。
hdb package里创建一个新的文件data.hdbti ：
import = [ { table = ＂public.aa.movielens.hdb::data.LINKS＂; schema = ＂MOVIELENS＂ ; file = ＂public.aa.movielens.data:links.csv＂; header = true; delimField = ＂,＂; delimEnclosing= ＂＂＂; }, { table = ＂public.aa.movielens.hdb::data.MOVIES＂; schema = ＂MOVIELENS＂ ; file = ＂public.aa.movielens.data:movies.csv＂; header = true; delimField = ＂,＂; delimEnclosing = ＂＂＂; }, { table = ＂public.aa.movielens.hdb::data.RATINGS＂; schema = ＂MOVIELENS＂ ; file = ＂public.aa.movielens.data:ratings.csv＂; header = true; delimField = ＂,＂; delimEnclosing= ＂＂＂; }, { table = ＂public.aa.movielens.hdb::data.TAGS＂; schema = ＂MOVIELENS＂ ; file = ＂public.aa.movielens.data:tags.csv＂; header = true; delimField = ＂,＂; delimEnclosing= ＂＂＂; }];
此时执行下列SQL语句，就可以成功从HANA MDC实例的数据库表里读取源自csv文件里的数据了：
select ＂links＂ as ＂table name＂, count(1) as ＂row count＂ from ＂MOVIELENS＂.＂public.aa.movielens.hdb::data.LINKS＂union allselect ＂movies＂ as ＂table name＂, count(1) as ＂row count＂ from ＂MOVIELENS＂.＂public.aa.movielens.hdb::data.MOVIES＂union allselect ＂ratings＂ as ＂table name＂, count(1) as ＂row count＂ from ＂MOVIELENS＂.＂public.aa.movielens.hdb::data.RATINGS＂union allselect ＂tags＂ as ＂table name＂, count(1) as ＂row count＂ from ＂MOVIELENS＂.＂public.aa.movielens.hdb::data.TAGS＂;
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