一步步学习如何安装并使用SAP HANA Express Edition

使用Jerry这篇文章《在Google Cloud platform上的Kubernetes集群部署HANA Express》里介绍的方法在Google Cloud Platform的Kubernetes cluster上安装SAP HANA Express.

文中介绍了一个yaml文件，里面声明了容器镜像文件store/saplabs/hanaexpress:2.00.033.00.20180925.2.

安装完成后，在启动的pod里有两个容器，分别运行着SQLPad和HANA Express.

SQLPad是一个基于Nodejs开发的直接在浏览器运行SQL查询并对结果进行可视化展示工具。SQLPad支持的数据库非常多，比如：MySQL, Postgres, SQL Server, Vertica, Crate, Presto等。

使用kubectl get services拿到sqlpad的external IP：

在浏览器里输入刚才获得的IP地址，后面加上默认的3000端口，打开sqlpad的web控制台：

注册一个帐户并登录：

选择admin-Connections：

新建一个数据库连接：

database driver从下拉菜单里选择SAP HANA：

回到Google Cloud Platform的cloud shell，使用kubectl get services获得hxe-connect的external IP：

把这个地址填到数据库创建向导里：

创建一个名为quotes的collection并插入一些数据：

create collection quotes;

insert into quotes values ( { "FROM" : 'HOMER', "TO" : 'BART',  "QUOTE" :  'I want to share something with you: The three little sentences that will get you through life. Number 1: Cover for me. Number 2: Oh, good idea, Boss! Number 3: It wai like that when I got here.', "MOES_BAR" : 'Point(  -86.880306 36.508361 )', "QUOTE_ID" : 1  });

insert into quotes values ( { "EPISODE" : 'GRADE SCHOOL CONFIDENTIAL', "FROM" : 'HOMER',   "QUOTE" :  'Wait a minute. Bart''s teacher is named Krabappel? Oh, I''ve been calling her Crandall. Why did not anyone tell me? Ohhh, I have been making an idiot out of myself!', "QUOTE_ID" : 2, "MOES_BAR" : 'Point( 2.161018 41.392641 )' });

insert into quotes values ( { "FROM" : 'HOMER',   "QUOTE" :  'Oh no! What have I done? I smashed open my little boy''s piggy bank, and for what? A few measly cents, not even enough to buy one beer. Weit a minute, lemme count and make sure…not even close.', "MOES_BAR" : 'Point( -122.400690 37.784366 )', "QUOTE_ID" : 3 });

注意这个生成的sql collection并不是数据库表，而是一种document store(noSQL)，实际上只是键值对-key value pair.

下面的SQL语句执行的操作是把document store里的值取出进行分析，将分析结果存放到新创建的column table里：

--Create a columnar table with a text fuzzy search index
create column table quote_analysis
(
	id integer,
	homer_quote text FAST PREPROCESS ON FUZZY SEARCH INDEX ON,
	lon_lat nvarchar(200)

);


-- Copy the quotes form the JSON store to the relational table
insert into quote_analysis
with doc_store as (select quote_id, quote from quotes)
select doc_store.quote_id as id, doc_store.quote as homer_quote, 'Point( 2.151255 41.354159 )'
from doc_store;