使用Jerry這篇文章《在Google Cloud platform上的Kubernetes集群部署HANA Express》裡介紹的方法在Google Cloud Platform的Kubernetes cluster上安裝SAP HANA Express.
https://zhuanlan.zhihu.com/p/111579088
文中介紹了一個yaml文件，裡面聲明瞭容器鏡像文件store/saplabs/hanaexpress:2.00.033.00.20180925.2.
安裝完成後，在啟動的pod裡有兩個容器，分別運行著SQLPad和HANA Express.
SQLPad是一個基於Nodejs開發的直接在瀏覽器運行SQL查詢並對結果進行可視化展示工具。SQLPad支持的數據庫非常多，比如：MySQL, Postgres, SQL Server, Vertica, Crate, Presto等。
使用kubectl get services拿到sqlpad的external IP：
在瀏覽器裡輸入剛才獲得的IP地址，後面加上默認的3000端口，打開sqlpad的web控制檯：
註冊一個帳戶並登錄：
選擇admin-Connections：
新建一個數據庫連接：
database driver從下拉菜單裡選擇SAP HANA：
回到Google Cloud Platform的cloud shell，使用kubectl get services獲得hxe-connect的external IP：
把這個地址填到數據庫創建嚮導裡：
創建一個名為quotes的collection並插入一些數據：
<code>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 });/<code>
注意這個生成的sql collection並不是數據庫表，而是一種document store(noSQL)，實際上只是鍵值對-key value pair.
下面的SQL語句執行的操作是把document store裡的值取出進行分析，將分析結果存放到新創建的column table裡：
<code>--Create a columnar table with a text fuzzy search index
create column table quote_analysis
(
\tid integer,
\thomer_quote text FAST PREPROCESS ON FUZZY SEARCH INDEX ON,
\tlon_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;/<code>
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