分布式面向列的NoSQL数据库Hbase(五)

Znyoung2022/7/22

分布式面向列的NoSQL数据库Hbase（五）

01：课程回顾

BulkLoad
- 功能：将数据直接转换成HFile文件，直接放入表中，不经过内存
- 场景：短时间内大量数据写入Hbase表，离线应用中
- 流程：a-将数据生成HFILE文件【HfileOutputFormat2】 b-将HFile加载到表中
SQL on Hbase
- 问题：a-Hbase不支持SQL，使用成本比较高，b-不知道Rowkey前缀，无法实现索引查询
- 需求：a-实现SQL on Hbase，b-构建二级索引
- Hive on Hbase
  - 设计：使用Hbase来替代Hive表底层存储
  - 本质：构建了一层映射关系，通过Hadoop中读写Hbase类来实现
  - 优点：底层有计算引擎，SQL比较完善，实现对Hbase大数据量分析处理
  - 缺点：不适合做即席查询，不支持构建二级索引
  - 场景：离线场景中，利用Hbase提高数仓读写性能，实现分布式数据分析处理，或者使用SQL处理半结构化数据
- Phoenix on Hbase
  - 设计：为了解决Hbase在使用过程中遇到的两个问题，专门为Hbase设计的工具
  - 本质：底层直接基于Hbase原生API来构建，并且封装了大量的协处理器
  - 优点：查询性能相对较快，数据存储读写功能比较强大，例如二级索引
  - 缺点：SQL语法不是很完善，没有分布式计算引擎，不能实现非常复杂转换处理
  - 场景：即席查询

02：课程目标

Phoenix常用DDL和DML
- 目标：理解DDL和掌握DML、DQL用法
二级索引以及Phoenix实现二级索引
- 目标：==掌握二级索引设计==以及Phoenix构建全局索引、覆盖索引、本地索引

【模块一：Phoenix的基础语法】

03：【理解】Phoenix的DDL语法：NS

目标：实现基于SQL的数据库管理：创建、切换、删除
- http://phoenix.apache.org/language/index.html
实施
- 创建NS

create schema if not exists student;

切换NS

use student;

删除NS

drop schema if exists student;

小结：基本与SQL语法一致
- 注意：Phoenix中默认会将所有字符转换为大写，如果想要使用小写字母，必须加上双引号

04：【理解】Phoenix的DDL语法：Table

目标：实现基于SQL的数据表管理：创建、列举、查看、删除
实施
- 列举：默认不会主动集成Hbase中已有的表

!tables

创建
- 语法：http://phoenix.apache.org/language/index.html#create_table
- 类型：https://phoenix.apache.org/language/datatypes.html
- 注意规则
  - 建表的时候需要指定字段：SQL中的表中列是固定的
  - 谁是primary key谁就是rowkey，每张表必须有主键
  - 定义字段时，要指定列族，列族的属性可以在建表语句中指定
  - split：指定建表构建多个分区，每个分区段划分

 CREATE TABLE my_schema.my_table (
     id BIGINT not null primary key, 
     date Date
 );

 CREATE TABLE my_table ( 
     id INTEGER not null primary key desc, 
     m.date DATE not null,
     m.db_utilization DECIMAL, 
     i.db_utilization
 ) m.VERSIONS='3';

 CREATE TABLE stats.prod_metrics ( 
     host char(50) not null, 
     created_date date not null,
     txn_count bigint 
     CONSTRAINT pk PRIMARY KEY (host, created_date) 
 );

   CREATE TABLE IF NOT EXISTS "my_case_sensitive_table"( 
       "id" char(10) not null primary key, 
       "value" integer
   ) DATA_BLOCK_ENCODING='NONE',VERSIONS=5,MAX_FILESIZE=2000000 
   split on (?, ?, ?);


   CREATE TABLE IF NOT EXISTS my_schema.my_table (
       org_id CHAR(15), 
       entity_id CHAR(15), 
       payload binary(1000),
       CONSTRAINT pk PRIMARY KEY (org_id, entity_id) 
   ) TTL=86400

  -  **如果Hbase中没有这个表【很少用】 **

 use default;
 create table if not exists ORDER_DTL(
     ID varchar primary key,
     C1.STATUS varchar,
     C1.PAY_MONEY float,
     C1.PAYWAY integer,
     C1.USER_ID varchar,
     C1.OPERATION_DATE varchar,
     C1.CATEGORY varchar
 );

  -  如果Hbase中已存在会自动关联【**常用**】 
     -  上传ORDER_INFO.txt 到node1上 
     -  Hbase中建表并导入数据

Hbase中建表并导入数据

hbase shell ORDER_INFO.txt

Phoenix中建表

create table if not exists ORDER_INFO(
"id" varchar primary key,
"C1"."USER_ID" varchar,
"C1"."OPERATION_DATE" varchar,
"C1"."PAYWAY" varchar,
"C1"."PAY_MONEY" varchar,
"C1"."STATUS" varchar,
"C1"."CATEGORY" varchar
) column_encoded_bytes=0;

     - 表名与列名都必须一致，大小写严格区分

查看

 !desc order_info;

删除

drop table if exists order_dtl;

小结：注意：创建表时，必须指定主键作为Rowkey，主键列不能加列族
- Phoenix 4.8版本之前只要创建同名的Hbase表，会自动关联数据
- Phoenix 4.8版本以后，不推荐关联表的方式
- 推荐使用视图关联的方式来实现，如果你要使用关联表的方式，必须加上以下参数

column_encoded_bytes=0 ;

05：【理解】Phoenix的DML语法：upsert

目标：基于order_info订单数据实现DML插入数据
实施
- 语法及示例

UPSERT INTO TEST VALUES('foo','bar',3);
UPSERT INTO TEST(NAME,ID) VALUES('foo',123);
UPSERT INTO TEST(ID, COUNTER) VALUES(123, 0) ON DUPLICATE KEY UPDATE COUNTER = COUNTER + 1;
UPSERT INTO TEST(ID, MY_COL) VALUES(123, 0) ON DUPLICATE KEY IGNORE;

插入一条数据

upsert into order_info values('z8f3ca6f-2f5c-44fd-9755-1792de183845','4944191','2020-04-25 12:09:16','1','4070','未提交','电脑');

更新USERID为123456【更新语句必须指定rowkey】

upsert into order_info("id","USER_ID") values('z8f3ca6f-2f5c-44fd-9755-1792de183845','123456');

小结：语法类似于insert语法，功能等同于insert + update

06：【理解】Phoenix的DML语法：delete

目标：基于order_info订单数据实现DML删除数据
实施
- 语法及示例

DELETE FROM TEST;
DELETE FROM TEST WHERE ID=123;
DELETE FROM TEST WHERE NAME LIKE 'foo%';

删除USER_ID为123456的rowkey数据

delete from order_info where USER_ID = '123456';

总结：与MySQL是一致的

07：【理解】Phoenix的DQL语法：select

需求：基于order_info订单数据实现DQL查询数据
实现
- 语法及示例

SELECT * FROM TEST LIMIT 1000;
SELECT * FROM TEST LIMIT 1000 OFFSET 100;
SELECT full_name FROM SALES_PERSON WHERE ranking >= 5.0 UNION ALL SELECT reviewer_name FROM CUSTOMER_REVIEW WHERE score >= 8.0

查询支付方式为1的数据

select "id",payway,pay_money,category from order_info where payway = '1';

查询每种支付方式对应的用户人数，并且按照用户人数降序排序

select
    payway,
    count(distinct user_id) as numb
from order_info
group by payway 
order by numb desc;

查询数据的第60行到66行

--以前的写法：limit M,N
--M：开始位置，默认为0，一般从头开始，就省略
--N：显示的条数
--Phoenix的写法：limit N offset M
select * from order_info limit 6 offset 60;//总共66行，显示最后6行

子查询：https://phoenix.apache.org/subqueries.html

-- 条件子查询
select 
  * 
from order_info 
where pay_money > (
   select max(pay_money) from order_info where  payway = '2'
);

Join支持：https://phoenix.apache.org/joins.html

-- 表join
select a.user_id,b.payway from order_info a join order_info b on a."id" = b."id" ;
-- 子查询join
select 
    a.user_id,b.payway 
from order_info a join ( select "id",payway from order_info where payway = '1' ) b on a."id" = b."id";

函数支持：http://phoenix.apache.org/language/functions.html
小结：基本查询与MySQL也是一致的，如果遇到SQL报错，检查语法是否支持【重点关注函数是否支持】

08：【理解】Phoenix的使用：预分区

目标：创建表的时候，需要根据Rowkey来设计多个分区
实现
- Hbase命令建表

 create Ns;tbname,列族，预分区

Phoenix也提供了创建表时，指定分区范围的语法

 CREATE TABLE IF NOT EXISTS "my_case_sensitive_table"( 
     "id" char(10) not null primary key, 
     "value" integer
 )
 DATA_BLOCK_ENCODING='NONE',VERSIONS=5,MAX_FILESIZE=2000000 split on (?, ?, ?)

创建数据表，四个分区

 drop table if exists ORDER_DTL;
 create table if not exists ORDER_DTL(
     "id" varchar primary key,
     C1."status" varchar,
     C1."money" float,
     C1."pay_way" integer,
     C1."user_id" varchar,
     C1."operation_time" varchar,
     C1."category" varchar
 ) 
 CONPRESSION='GZ'
 SPLIT ON ('3','5','7');

插入数据

UPSERT INTO "ORDER_DTL" VALUES('02602f66-adc7-40d4-8485-76b5632b5b53','已提交',4070,1,'4944191','2020-04-25 12:09:16','手机;');
UPSERT INTO "ORDER_DTL" VALUES('0968a418-f2bc-49b4-b9a9-2157cf214cfd','已完成',4350,1,'1625615','2020-04-25 12:09:37','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('0e01edba-5e55-425e-837a-7efb91c56630','已提交',6370,3,'3919700','2020-04-25 12:09:39','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('0f46d542-34cb-4ef4-b7fe-6dcfa5f14751','已付款',9380,1,'2993700','2020-04-25 12:09:46','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('1fb7c50f-9e26-4aa8-a140-a03d0de78729','已完成',6400,2,'5037058','2020-04-25 12:10:13','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('23275016-996b-420c-8edc-3e3b41de1aee','已付款',280,1,'3018827','2020-04-25 12:09:53','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2375a7cf-c206-4ac0-8de4-863e7ffae27b','已完成',5600,1,'6489579','2020-04-25 12:08:55','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('269fe10c-740b-4fdb-ad25-7939094073de','已提交',8340,2,'2948003','2020-04-25 12:09:26','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('2849fa34-6513-44d6-8f66-97bccb3a31a1','已提交',7060,2,'2092774','2020-04-25 12:09:38','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('28b7e793-6d14-455b-91b3-0bd8b23b610c','已提交',640,3,'7152356','2020-04-25 12:09:49','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2909b28a-5085-4f1d-b01e-a34fbaf6ce37','已提交',9390,3,'8237476','2020-04-25 12:10:08','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2a01dfe5-f5dc-4140-b31b-a6ee27a6e51e','已提交',7490,2,'7813118','2020-04-25 12:09:05','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('2b86ab90-3180-4940-b624-c936a1e7568d','已付款',5360,2,'5301038','2020-04-25 12:08:50','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2e19fbe8-7970-4d62-8e8f-d364afc2dd41','已付款',6490,0,'3141181','2020-04-25 12:09:22','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('2fc28d36-dca0-49e8-bad0-42d0602bdb40','已付款',3820,1,'9054826','2020-04-25 12:10:04','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('31477850-8b15-4f1b-9ec3-939f7dc47241','已提交',4650,2,'5837271','2020-04-25 12:08:52','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('39319322-2d80-41e7-a862-8b8858e63316','已提交',5000,1,'5686435','2020-04-25 12:08:51','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('3d2254bd-c25a-404f-8e42-2faa4929a629','已完成',5000,1,'1274270','2020-04-25 12:08:43','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('42f7fe21-55a3-416f-9535-baa222cc0098','已完成',3600,2,'2661641','2020-04-25 12:09:58','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('44231dbb-9e58-4f1a-8c83-be1aa814be83','已提交',3950,1,'3855371','2020-04-25 12:08:39','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('526e33d2-a095-4e19-b759-0017b13666ca','已完成',3280,0,'5553283','2020-04-25 12:09:01','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('5a6932f4-b4a4-4a1a-b082-2475d13f9240','已提交',50,2,'1764961','2020-04-25 12:10:07','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('5fc0093c-59a3-417b-a9ff-104b9789b530','已提交',6310,2,'1292805','2020-04-25 12:09:36','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('605c6dd8-123b-4088-a047-e9f377fcd866','已完成',8980,2,'6202324','2020-04-25 12:09:54','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('613cfd50-55c7-44d2-bb67-995f72c488ea','已完成',6830,3,'6977236','2020-04-25 12:10:06','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('62246ac1-3dcb-4f2c-8943-800c9216c29f','已提交',8610,1,'5264116','2020-04-25 12:09:14','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('625c7fef-de87-428a-b581-a63c71059b14','已提交',5970,0,'8051757','2020-04-25 12:09:07','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('6d43c490-58ab-4e23-b399-dda862e06481','已提交',4570,0,'5514248','2020-04-25 12:09:34','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('70fa0ae0-6c02-4cfa-91a9-6ad929fe6b1b','已付款',4100,1,'8598963','2020-04-25 12:09:08','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('7170ce71-1fc0-4b6e-a339-67f525536dcd','已完成',9740,1,'4816392','2020-04-25 12:09:51','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('71961b06-290b-457d-bbe0-86acb013b0e3','已完成',6550,3,'2393699','2020-04-25 12:08:49','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('72dc148e-ce64-432d-b99f-61c389cb82cd','已提交',4090,1,'2536942','2020-04-25 12:10:12','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('7c0c1668-b783-413f-afc4-678a5a6d1033','已完成',3850,3,'6803936','2020-04-25 12:09:20','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('7fa02f7a-10df-4247-9935-94c8b7d4dbc0','已提交',1060,0,'6119810','2020-04-25 12:09:21','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('820c5e83-f2e0-42d4-b5f0-83802c75addc','已付款',9270,2,'5818454','2020-04-25 12:10:09','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('83ed55ec-a439-44e0-8fe0-acb7703fb691','已完成',8380,2,'6804703','2020-04-25 12:09:52','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('85287268-f139-4d59-8087-23fa6454de9d','已取消',9750,1,'4382852','2020-04-25 12:10:00','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('8d32669e-327a-4802-89f4-2e91303aee59','已提交',9390,1,'4182962','2020-04-25 12:09:57','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('8dadc2e4-63f1-490f-9182-793be64fed76','已付款',9350,1,'5937549','2020-04-25 12:09:02','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('94ad8ee0-8898-442c-8cb1-083a4b609616','已提交',4370,0,'4666456','2020-04-25 12:09:13','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('994cbb44-f0ee-45ff-a4f4-76c87bc2b972','已付款',3190,3,'3200759','2020-04-25 12:09:25','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('9ff3032c-8679-4247-9e6f-4caf2dc93aff','已提交',850,0,'8835231','2020-04-25 12:09:40','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('9ff4032c-1223-4247-9e6f-123456dfdsds','已付款',850,0,'8835231','2020-04-25 12:09:45','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('a467ba42-f91e-48a0-865e-1703aaa45e0e','已提交',8040,0,'8206022','2020-04-25 12:09:50','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('a5302f47-96d9-41b4-a14c-c7a508f59282','已付款',8570,2,'5319315','2020-04-25 12:08:44','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('a5b57bec-6235-45f4-bd7e-6deb5cd1e008','已提交',5700,3,'6486444','2020-04-25 12:09:27','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('ae5c3363-cf8f-48a9-9676-701a7b0a7ca5','已付款',7460,1,'2379296','2020-04-25 12:09:23','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('b1fb2399-7cf2-4af5-960a-a4d77f4803b8','已提交',2690,3,'6686018','2020-04-25 12:09:55','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('b21c7dbd-dabd-4610-94b9-d7039866a8eb','已提交',6310,2,'1552851','2020-04-25 12:09:15','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('b4bfd4b7-51f5-480e-9e23-8b1579e36248','已提交',4000,1,'3260372','2020-04-25 12:09:35','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('b63983cc-2b59-4992-84c6-9810526d0282','已提交',7370,3,'3107867','2020-04-25 12:08:45','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('bf60b752-1ccc-43bf-9bc3-b2aeccacc0ed','已提交',720,2,'5034117','2020-04-25 12:09:03','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('c808addc-8b8b-4d89-99b1-db2ed52e61b4','已提交',3630,1,'6435854','2020-04-25 12:09:10','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('cc9dbd20-cf9f-4097-ae8b-4e73db1e4ba1','已付款',5000,0,'2007322','2020-04-25 12:08:38','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('ccceaf57-a5ab-44df-834a-e7b32c63efc1','已提交',2660,2,'7928516','2020-04-25 12:09:42','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('d7be5c39-e07c-40e8-bf09-4922fbc6335c','已付款',8750,2,'1250995','2020-04-25 12:09:09','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('dfe16df7-4a46-4b6f-9c6d-083ec215218e','已完成',410,0,'1923817','2020-04-25 12:09:56','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e1241ad4-c9c1-4c17-93b9-ef2c26e7f2b2','已付款',6760,0,'2457464','2020-04-25 12:08:54','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('e180a9f2-9f80-4b6d-99c8-452d6c037fc7','已完成',8120,2,'7645270','2020-04-25 12:09:32','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('e4418843-9ac0-47a7-bfd8-d61c4d296933','已付款',8170,2,'7695668','2020-04-25 12:09:11','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e8b3bb37-1019-4492-93c7-305177271a71','已完成',2560,2,'4405460','2020-04-25 12:10:05','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('eb1a1a22-953a-42f1-b594-f5dfc8fb6262','已完成',2370,2,'8233485','2020-04-25 12:09:24','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('ecfd18f5-45f2-4dcd-9c47-f2ad9b216bd0','已付款',8070,3,'6387107','2020-04-25 12:09:04','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('f1226752-7be3-4702-a496-3ddba56f66ec','已付款',4410,3,'1981968','2020-04-25 12:10:10','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('f642b16b-eade-4169-9eeb-4d5f294ec594','已提交',4010,1,'6463215','2020-04-25 12:09:29','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('f8f3ca6f-2f5c-44fd-9755-1792de183845','已付款',5950,3,'4060214','2020-04-25 12:09:12','机票;文娱;');

查看分区请求
小结：实现效果与命令实现的效果一致

09：【理解】Phoenix的使用：加盐salt

目标：Rowkey设计的时候为了避免连续，构建Rowkey的散列，如果rowkey设计是连续的，怎么解决？
实现
- 正常表
  - tb1:3个分区
  - r1：-oo ~ 3
  - r2: 3 ~ 6
  - r3: 6 ~ +oo
  - rowkey：数值开头
- 盐表
  - t2:3个分区，不允许指定每个分区的段
  - 自动给每个分区的前缀是16进制的值
  - rowkey：数值开头，但是Phoenix会自动为每个rowkey前面加上一个16进制的值
- 在Phoenix创建一张盐表，写入的数据会自动进行编码写入不同的分区中

 CREATE TABLE table (
     a_key VARCHAR PRIMARY KEY, 
     a_col VARCHAR
 ) SALT_BUCKETS = 20;

创建一张盐表，指定分区个数为10

 drop table if exists ORDER_DTL;
 create table if not exists ORDER_DTL(
     "id" varchar primary key,
     C1."status" varchar,
     C1."money" float,
     C1."pay_way" integer,
     C1."user_id" varchar,
     C1."operation_time" varchar,
     C1."category" varchar
 ) 
 CONPRESSION='GZ', SALT_BUCKETS=10;

写入数据

UPSERT INTO "ORDER_DTL" VALUES('02602f66-adc7-40d4-8485-76b5632b5b53','已提交',4070,1,'4944191','2020-04-25 12:09:16','手机;');
UPSERT INTO "ORDER_DTL" VALUES('0968a418-f2bc-49b4-b9a9-2157cf214cfd','已完成',4350,1,'1625615','2020-04-25 12:09:37','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('0e01edba-5e55-425e-837a-7efb91c56630','已提交',6370,3,'3919700','2020-04-25 12:09:39','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('0f46d542-34cb-4ef4-b7fe-6dcfa5f14751','已付款',9380,1,'2993700','2020-04-25 12:09:46','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('1fb7c50f-9e26-4aa8-a140-a03d0de78729','已完成',6400,2,'5037058','2020-04-25 12:10:13','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('23275016-996b-420c-8edc-3e3b41de1aee','已付款',280,1,'3018827','2020-04-25 12:09:53','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2375a7cf-c206-4ac0-8de4-863e7ffae27b','已完成',5600,1,'6489579','2020-04-25 12:08:55','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('269fe10c-740b-4fdb-ad25-7939094073de','已提交',8340,2,'2948003','2020-04-25 12:09:26','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('2849fa34-6513-44d6-8f66-97bccb3a31a1','已提交',7060,2,'2092774','2020-04-25 12:09:38','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('28b7e793-6d14-455b-91b3-0bd8b23b610c','已提交',640,3,'7152356','2020-04-25 12:09:49','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2909b28a-5085-4f1d-b01e-a34fbaf6ce37','已提交',9390,3,'8237476','2020-04-25 12:10:08','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2a01dfe5-f5dc-4140-b31b-a6ee27a6e51e','已提交',7490,2,'7813118','2020-04-25 12:09:05','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('2b86ab90-3180-4940-b624-c936a1e7568d','已付款',5360,2,'5301038','2020-04-25 12:08:50','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2e19fbe8-7970-4d62-8e8f-d364afc2dd41','已付款',6490,0,'3141181','2020-04-25 12:09:22','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('2fc28d36-dca0-49e8-bad0-42d0602bdb40','已付款',3820,1,'9054826','2020-04-25 12:10:04','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('31477850-8b15-4f1b-9ec3-939f7dc47241','已提交',4650,2,'5837271','2020-04-25 12:08:52','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('39319322-2d80-41e7-a862-8b8858e63316','已提交',5000,1,'5686435','2020-04-25 12:08:51','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('3d2254bd-c25a-404f-8e42-2faa4929a629','已完成',5000,1,'1274270','2020-04-25 12:08:43','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('42f7fe21-55a3-416f-9535-baa222cc0098','已完成',3600,2,'2661641','2020-04-25 12:09:58','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('44231dbb-9e58-4f1a-8c83-be1aa814be83','已提交',3950,1,'3855371','2020-04-25 12:08:39','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('526e33d2-a095-4e19-b759-0017b13666ca','已完成',3280,0,'5553283','2020-04-25 12:09:01','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('5a6932f4-b4a4-4a1a-b082-2475d13f9240','已提交',50,2,'1764961','2020-04-25 12:10:07','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('5fc0093c-59a3-417b-a9ff-104b9789b530','已提交',6310,2,'1292805','2020-04-25 12:09:36','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('605c6dd8-123b-4088-a047-e9f377fcd866','已完成',8980,2,'6202324','2020-04-25 12:09:54','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('613cfd50-55c7-44d2-bb67-995f72c488ea','已完成',6830,3,'6977236','2020-04-25 12:10:06','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('62246ac1-3dcb-4f2c-8943-800c9216c29f','已提交',8610,1,'5264116','2020-04-25 12:09:14','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('625c7fef-de87-428a-b581-a63c71059b14','已提交',5970,0,'8051757','2020-04-25 12:09:07','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('6d43c490-58ab-4e23-b399-dda862e06481','已提交',4570,0,'5514248','2020-04-25 12:09:34','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('70fa0ae0-6c02-4cfa-91a9-6ad929fe6b1b','已付款',4100,1,'8598963','2020-04-25 12:09:08','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('7170ce71-1fc0-4b6e-a339-67f525536dcd','已完成',9740,1,'4816392','2020-04-25 12:09:51','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('71961b06-290b-457d-bbe0-86acb013b0e3','已完成',6550,3,'2393699','2020-04-25 12:08:49','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('72dc148e-ce64-432d-b99f-61c389cb82cd','已提交',4090,1,'2536942','2020-04-25 12:10:12','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('7c0c1668-b783-413f-afc4-678a5a6d1033','已完成',3850,3,'6803936','2020-04-25 12:09:20','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('7fa02f7a-10df-4247-9935-94c8b7d4dbc0','已提交',1060,0,'6119810','2020-04-25 12:09:21','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('820c5e83-f2e0-42d4-b5f0-83802c75addc','已付款',9270,2,'5818454','2020-04-25 12:10:09','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('83ed55ec-a439-44e0-8fe0-acb7703fb691','已完成',8380,2,'6804703','2020-04-25 12:09:52','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('85287268-f139-4d59-8087-23fa6454de9d','已取消',9750,1,'4382852','2020-04-25 12:10:00','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('8d32669e-327a-4802-89f4-2e91303aee59','已提交',9390,1,'4182962','2020-04-25 12:09:57','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('8dadc2e4-63f1-490f-9182-793be64fed76','已付款',9350,1,'5937549','2020-04-25 12:09:02','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('94ad8ee0-8898-442c-8cb1-083a4b609616','已提交',4370,0,'4666456','2020-04-25 12:09:13','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('994cbb44-f0ee-45ff-a4f4-76c87bc2b972','已付款',3190,3,'3200759','2020-04-25 12:09:25','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('9ff3032c-8679-4247-9e6f-4caf2dc93aff','已提交',850,0,'8835231','2020-04-25 12:09:40','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('9ff4032c-1223-4247-9e6f-123456dfdsds','已付款',850,0,'8835231','2020-04-25 12:09:45','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('a467ba42-f91e-48a0-865e-1703aaa45e0e','已提交',8040,0,'8206022','2020-04-25 12:09:50','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('a5302f47-96d9-41b4-a14c-c7a508f59282','已付款',8570,2,'5319315','2020-04-25 12:08:44','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('a5b57bec-6235-45f4-bd7e-6deb5cd1e008','已提交',5700,3,'6486444','2020-04-25 12:09:27','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('ae5c3363-cf8f-48a9-9676-701a7b0a7ca5','已付款',7460,1,'2379296','2020-04-25 12:09:23','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('b1fb2399-7cf2-4af5-960a-a4d77f4803b8','已提交',2690,3,'6686018','2020-04-25 12:09:55','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('b21c7dbd-dabd-4610-94b9-d7039866a8eb','已提交',6310,2,'1552851','2020-04-25 12:09:15','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('b4bfd4b7-51f5-480e-9e23-8b1579e36248','已提交',4000,1,'3260372','2020-04-25 12:09:35','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('b63983cc-2b59-4992-84c6-9810526d0282','已提交',7370,3,'3107867','2020-04-25 12:08:45','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('bf60b752-1ccc-43bf-9bc3-b2aeccacc0ed','已提交',720,2,'5034117','2020-04-25 12:09:03','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('c808addc-8b8b-4d89-99b1-db2ed52e61b4','已提交',3630,1,'6435854','2020-04-25 12:09:10','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('cc9dbd20-cf9f-4097-ae8b-4e73db1e4ba1','已付款',5000,0,'2007322','2020-04-25 12:08:38','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('ccceaf57-a5ab-44df-834a-e7b32c63efc1','已提交',2660,2,'7928516','2020-04-25 12:09:42','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('d7be5c39-e07c-40e8-bf09-4922fbc6335c','已付款',8750,2,'1250995','2020-04-25 12:09:09','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('dfe16df7-4a46-4b6f-9c6d-083ec215218e','已完成',410,0,'1923817','2020-04-25 12:09:56','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e1241ad4-c9c1-4c17-93b9-ef2c26e7f2b2','已付款',6760,0,'2457464','2020-04-25 12:08:54','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('e180a9f2-9f80-4b6d-99c8-452d6c037fc7','已完成',8120,2,'7645270','2020-04-25 12:09:32','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('e4418843-9ac0-47a7-bfd8-d61c4d296933','已付款',8170,2,'7695668','2020-04-25 12:09:11','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e8b3bb37-1019-4492-93c7-305177271a71','已完成',2560,2,'4405460','2020-04-25 12:10:05','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('eb1a1a22-953a-42f1-b594-f5dfc8fb6262','已完成',2370,2,'8233485','2020-04-25 12:09:24','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('ecfd18f5-45f2-4dcd-9c47-f2ad9b216bd0','已付款',8070,3,'6387107','2020-04-25 12:09:04','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('f1226752-7be3-4702-a496-3ddba56f66ec','已付款',4410,3,'1981968','2020-04-25 12:10:10','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('f642b16b-eade-4169-9eeb-4d5f294ec594','已提交',4010,1,'6463215','2020-04-25 12:09:29','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('f8f3ca6f-2f5c-44fd-9755-1792de183845','已付款',5950,3,'4060214','2020-04-25 12:09:12','机票;文娱;');

Phoenix中查看

select "id" from ORDER_DTL;

Hbase中查看

 scan 'ORDER_DTL'

小结：由Phoenix来实现自动对Rowkey编码，解决Rowkey的热点问题，不需要自己设计散列的Rowkey
- **注意：**一旦使用了盐表，对于盐表数据的操作只能通过Phoenix来实现
- 盐表不能自己指定分区段，由Phoenix自己根据自己规则来实现

10：【理解】Phoenix的使用：视图

目标：理解Phoenix中视图的使用
实施
- 问题：直接关联Hbase中的表，会导致误删除，对数据的权限会有影响，容易出现问题，如何避免？
- Phoenix中建议使用视图的方式来关联Hbase中已有的表
- 通过构建关联视图，可以解决大部分数据查询的数据，不影响数据
- 视图：理解为只读的表
- 实现测试
  - 删除Phoenix中的ORDER_INFO

drop table if exists ORDER_INFO;

  -  观察Hbase中的ORDER_INFO 
     - Hbase中的表也会被删除
  -  重新加载

hbase shell ORDER_INFO.txt

  -  创建视图，关联Hbase中已经存在的表

create view if not exists ORDER_INFO(
"id" varchar primary key,
"C1"."USER_ID" varchar,
"C1"."OPERATION_DATE" varchar,
"C1"."PAYWAY" varchar,
"C1"."PAY_MONEY" varchar,
"C1"."STATUS" varchar,
"C1"."CATEGORY" varchar
) ;

  -  查询数据

select "id",user_id,payway,category from order_info;

  -  应用场景 
     - 视图：Hbase中已经有这张表，写都是操作Hbase，Phoenix只提供读
     - 建表：对这张表既要读也要使用Phoenix来写

小结：理解Phoenix中视图的使用

11：【理解】Phoenix的使用：JDBC

目标：理解Phoenix的JDBC的使用
实施
- 问题：工作中实际使用SQL，会基于程序中使用JDBC的方式来提交SQL语句，在Phoenix中如何实现？
- Phoenix支持使用JDBC的方式来提交SQL语句

//JDBC
step1：申明驱动类，获取连接Connection
step2：获取PrepareStatement语句对象
step3：构建SQL语句，使用prep执行SQL语句
step4：释放资源

注意：在resource中要添加hbase-site.xml配置文件
构建JDBC连接Phoenix

package bigdata.itcast.cn.hbase.phoenix.jdbc;

import org.apache.phoenix.jdbc.PhoenixDriver;

import java.sql.*;
/**

   * @ClassName HbasePhoenixJDBCTest
   * @Description TODO 测试Phoenix JDBC的使用
   * @Create By     Frank
     */
      public class HbasePhoenixJDBCTest {
      public static void main(String[] args) throws SQLException {
         Connection connection = null;
         PreparedStatement ps = null;
         try {
             Class.forName(PhoenixDriver.class.getName());
             connection = DriverManager.getConnection("jdbc:phoenix:node1.itcast.cn:2181");
             ps = connection.prepareStatement( "select user_id,payway,category from order_info");
             ResultSet rs = ps.executeQuery();
             while(rs.next()) {
                 System.out.println(
                         rs.getString("USER_ID")+"\t"+
                         rs.getString("PAYWAY")+"\t"+
                         rs.getString("CATEGORY"));
             }
         }catch (Exception e){
             e.printStackTrace();
         }finally {
             if(ps != null) ps.close();
             if(connection != null) connection.close();
         }

     }
      }

  -  运行查看结果

小结：Phoenix支持JDBC方式提交SQL语句实现数据处理

【模块二：Phoenix的二级索引】

12：【理解】Phoenix二级索引设计

目标：基于Phoenix构建Hbase二级索引并维护二级索引
分析
- 为什么需要构建二级索引？
  - 问题：Rowkey作为Hbase的唯一索引，只有按照Rowkey的前缀查询，才会走索引，其他都是全表扫描，性能差怎么办？
  - 需求：希望能让大部分的查询都走索引查询
  - 方案：构建二级索引
- 什么是二级索引？
  - 一级索引：Rowkey，Hbase不支持创建索引，rowkey作为唯一索引
  - 二级索引：自己创建一张索引表，索引表中根据查询条件指向原表的rowkey
  - 查询时候
    - 先根据查询条件，查询索引表，将符合条件的原表的rowkey进行返回
    - 再根据原表rowkey，查询原始数据表，获取符合条件的的数据
- Phoenix如何实现二级索引？
实施
- step1：根据数据存储需求，创建原始数据表，将数据写入==原始数据表==

rowkey：id		id		name		age
1				1		laoda		18
2				2		laoer		20
3				3		laosan		22
4				4		laoer		22
5				5		laoda		16

  - 需求1：根据id查询：select  id , name from table where id = 2 
     - 走索引
  - 需求2：根据name查询：select id，name from table where name=‘laoer’ 
     - 不走索引，只能全表扫描

step2：根据数据查询需求，构建二级索引，Phoenix自动创建索引表

create index indexName on tbName(colName);
create index tb_name_index on tb(name);

step3：查询数据时，Phoenix根据过滤条件是否存在二级索引，优先判断走二级索引代替全表扫描
- 先查询索引表，根据name=laoer查询索引表的rowkey：laoer_2 ，laoer_4
  - 走索引
- 再查询原表，通过2和4，走索引查询得到2和4的所有信息
  - 走索引
- 二级索引：通过走两层索引来代替全表扫描
step4：原始数据表发生数据变化时，Phoenix会自动更新索引表的数据
- 实现：协处理器
索引类型：http://phoenix.apache.org/secondary_indexing.html
- 全局索引：Global Index
- 覆盖索引：Coverd Index
- 本地索引：Local Index
小结：在Phoenix中二级索引实现完全由Phoenix自主实现，不需要关心底层的实现，只需要使用语法创建索引即可

13：【了解】二级索引：全局索引设计

目标：了解二级索引中全局索引的设计思想
实施
- 目的：提高查询过程中对数据基于索引过滤的性能

-- 有没有索引没有区别
select id,name from table;
-- id有索引，更快
select id,name from table where id > 1;

希望我的查询条件有索引
功能：当为某一列【查询条件】创建全局索引时，Phoenix自动创建一张索引表，将创建索引的这一列加上原表的rowkey作为新的rowkey
- 原始数据表

rowkey：id		name		age

  -  需求：根据name进行数据查询 
  -  问题：不走索引 
  -  创建全局索引

create index index01 on tbname(name);

  -  自动构建索引表

rowkey：name_id		col：占位值

  -  查询 
     - 先查询索引表：通过索引表rowkey获取名称对应的id
     - 再查询数据表：通过id查询对应的数据

**特点：**默认只能对构建索引的字段做索引查询，如果查询中包含了不是索引的字段或者条件不是索引字段，不走索引
**应用：**写少读多【对写的影响要比本地索引要大一些】
- 当原表的数据发生更新操作提交时，会被拦截
- 先更新所有索引表，然后再更新原表
- 相对而言会影响写入数据性能
小结：了解二级索引中全局索引的设计思想

14：【实现】二级索引：全局索引实现

目标：基于Phoenix实现全局索引的测试
实现
- 不构建索引，先查询，查看执行计划

select "user_id" from ORDER_DTL where "user_id" = '8237476';
explain select "user_id" from ORDER_DTL where "user_id" = '8237476';

基于user_id构建全局索引

create index GBL_IDX_ORDER_DTL on ORDER_DTL(C1."user_id");

查看索引表

!tables

查询数据及查询计划

select "user_id" from ORDER_DTL where "user_id" = '8237476';
explain select "user_id" from ORDER_DTL where "user_id" = '8237476';

如果查询内容不是索引字段，查看执行计划

explain select "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';

强制走索引：Hint

explain select /*+ INDEX(ORDER_DTL GBL_IDX_ORDER_DTL) */ "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';

删除索引

drop index GBL_IDX_ORDER_DTL on ORDER_DTL;

小结：基于Phoenix实现全局索引的测试

15：【了解】二级索引：覆盖索引设计

目标：了解二级索引中覆盖索引的设计思想
实施
- 问题：使用全局索引时，如果查询字段中包含了非索引字段也不能走索引
- 功能：在构建全局索引时，将经常作为查询结果的列放入索引表中，直接通过索引表来返回数据结果
  - 原始数据表

rowkey：id		name		age  	addr  	phone

  -  需求：根据name进行数据查询 
  -  创建全局索引

create index index01 on tbname(name);

  -  自动构建索引表

rowkey：name_id		col：占位值

  -  如果需求发生改变，查询name和age，上面的全局索引会失效 
  -  创建全局+覆盖：include(age)

create index index01 on tbname(name) include(age);

  -  自动构建索引表

rowkey:name_id		col：age		col:x

**特点：**基于全局索引构建，将常用的查询结果放入索引表中，直接从索引表返回结果，不用再查询原表
**应用：**适合于查询条件比较固定，数据量比较小的场景下
注意：不建议将大部分列都放入覆盖索引，导致索引表过大，性能降低
小结：了解二级索引中覆盖索引的设计思想

16：【实现】二级索引：覆盖索引实现

目标：基于Phoenix实现覆盖索引的测试
实施
- 不构建索引，先查询，查看执行计划

select "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';
explain select "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';

基于user_id构建全局索引，运行通过user_id查询订单id和支付金额

create index GBL_IDX_ORDER_DTL on ORDER_DTL(C1."user_id") INCLUDE(C1."money");

查看索引表

!tables

查询数据

select "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';

查看执行计划

explain select "user_id", "id", "money" from ORDER_DTL where "user_id" = '8237476';

如果查询内容不是索引字段，查看执行计划

explain select "user_id", "id", "pay_way" from ORDER_DTL where "user_id" = '8237476';

使用HINT强制走索引

explain select /*+ INDEX(ORDER_DTL GBL_IDX_ORDER_DTL) */ * from ORDER_DTL where "user_id" = '8237476';

删除索引

drop index GBL_IDX_ORDER_DTL on ORDER_DTL;

小结：基于Phoenix实现覆盖索引的测试

17：【实现】二级索引：本地索引设计及实现

目标：了解二级索引中本地索引的设计思想
实现
- 问题：全局和覆盖都是单独构建一张索引表，写数据时，需要先写索引表再写原表，写的性能影响较大
  - source_table：region0：node2
  - index_table：region0：node3
  - 如果写的请求比较多，影响写入的性能
- 设计目标：提高读性能的前提下，降低对写的影响
- 功能：将索引数据与对应的原始数据放在同一台机器同一个分区中，避免了跨网络传输，降低了写的性能影响
- 本质：没有创建索引表，在原表中创建了一个新的列族，将所有索引存储在这个列族中
  - sourceTable：C1-原始数据，C#-索引列族
  - 怎么保证这条数据和这条数据的索引一定在这张表的同一个分区中？
    - sourceTable：rowkey：id
      - region0: ~ 2
      - region1: 2 ~ 6
      - region2: 6 ~
    - 需求：按照name做查询，name都是字母
      - 问题：如果构建索引，id = 3 name = zhangsan
      - 原始数据：rowkey：id = 3： region1
      - 索引数据：rowkey：name_id = zhangsan_3：region2
    - 解决：索引的前缀使用的是这条数据对应的region的startKey
      - 索引数据：rowkey：startKey_name_id = 2_zhangsan_3：region1
  - 每次查询会将索引列族中的所有索引数据全部读取：牺牲一定的读性能
- 特点
  - 即使查询数据中包含了非索引字段，也会走本地索引
  - 本地索引会修改原始数据表且本地索引对盐表不生效的
- 应用
  - 减少构建索引时对写的性能的影响
  - 最终所有索引都是为了提高读的性能的：读的性能不如全局或者覆盖
- 测试
  - 删除表，重新建表，并插入数据

drop table if exists ORDER_DTL;
create table if not exists ORDER_DTL(
    "id" varchar primary key,
    C1."status" varchar,
    C1."money" float,
    C1."pay_way" integer,
    C1."user_id" varchar,
    C1."operation_time" varchar,
    C1."category" varchar
) 
CONPRESSION='GZ';

UPSERT INTO "ORDER_DTL" VALUES('02602f66-adc7-40d4-8485-76b5632b5b53','已提交',4070,1,'4944191','2020-04-25 12:09:16','手机;');
UPSERT INTO "ORDER_DTL" VALUES('0968a418-f2bc-49b4-b9a9-2157cf214cfd','已完成',4350,1,'1625615','2020-04-25 12:09:37','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('0e01edba-5e55-425e-837a-7efb91c56630','已提交',6370,3,'3919700','2020-04-25 12:09:39','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('0f46d542-34cb-4ef4-b7fe-6dcfa5f14751','已付款',9380,1,'2993700','2020-04-25 12:09:46','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('1fb7c50f-9e26-4aa8-a140-a03d0de78729','已完成',6400,2,'5037058','2020-04-25 12:10:13','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('23275016-996b-420c-8edc-3e3b41de1aee','已付款',280,1,'3018827','2020-04-25 12:09:53','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2375a7cf-c206-4ac0-8de4-863e7ffae27b','已完成',5600,1,'6489579','2020-04-25 12:08:55','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('269fe10c-740b-4fdb-ad25-7939094073de','已提交',8340,2,'2948003','2020-04-25 12:09:26','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('2849fa34-6513-44d6-8f66-97bccb3a31a1','已提交',7060,2,'2092774','2020-04-25 12:09:38','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('28b7e793-6d14-455b-91b3-0bd8b23b610c','已提交',640,3,'7152356','2020-04-25 12:09:49','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2909b28a-5085-4f1d-b01e-a34fbaf6ce37','已提交',9390,3,'8237476','2020-04-25 12:10:08','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('2a01dfe5-f5dc-4140-b31b-a6ee27a6e51e','已提交',7490,2,'7813118','2020-04-25 12:09:05','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('2b86ab90-3180-4940-b624-c936a1e7568d','已付款',5360,2,'5301038','2020-04-25 12:08:50','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('2e19fbe8-7970-4d62-8e8f-d364afc2dd41','已付款',6490,0,'3141181','2020-04-25 12:09:22','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('2fc28d36-dca0-49e8-bad0-42d0602bdb40','已付款',3820,1,'9054826','2020-04-25 12:10:04','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('31477850-8b15-4f1b-9ec3-939f7dc47241','已提交',4650,2,'5837271','2020-04-25 12:08:52','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('39319322-2d80-41e7-a862-8b8858e63316','已提交',5000,1,'5686435','2020-04-25 12:08:51','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('3d2254bd-c25a-404f-8e42-2faa4929a629','已完成',5000,1,'1274270','2020-04-25 12:08:43','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('42f7fe21-55a3-416f-9535-baa222cc0098','已完成',3600,2,'2661641','2020-04-25 12:09:58','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('44231dbb-9e58-4f1a-8c83-be1aa814be83','已提交',3950,1,'3855371','2020-04-25 12:08:39','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('526e33d2-a095-4e19-b759-0017b13666ca','已完成',3280,0,'5553283','2020-04-25 12:09:01','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('5a6932f4-b4a4-4a1a-b082-2475d13f9240','已提交',50,2,'1764961','2020-04-25 12:10:07','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('5fc0093c-59a3-417b-a9ff-104b9789b530','已提交',6310,2,'1292805','2020-04-25 12:09:36','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('605c6dd8-123b-4088-a047-e9f377fcd866','已完成',8980,2,'6202324','2020-04-25 12:09:54','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('613cfd50-55c7-44d2-bb67-995f72c488ea','已完成',6830,3,'6977236','2020-04-25 12:10:06','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('62246ac1-3dcb-4f2c-8943-800c9216c29f','已提交',8610,1,'5264116','2020-04-25 12:09:14','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('625c7fef-de87-428a-b581-a63c71059b14','已提交',5970,0,'8051757','2020-04-25 12:09:07','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('6d43c490-58ab-4e23-b399-dda862e06481','已提交',4570,0,'5514248','2020-04-25 12:09:34','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('70fa0ae0-6c02-4cfa-91a9-6ad929fe6b1b','已付款',4100,1,'8598963','2020-04-25 12:09:08','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('7170ce71-1fc0-4b6e-a339-67f525536dcd','已完成',9740,1,'4816392','2020-04-25 12:09:51','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('71961b06-290b-457d-bbe0-86acb013b0e3','已完成',6550,3,'2393699','2020-04-25 12:08:49','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('72dc148e-ce64-432d-b99f-61c389cb82cd','已提交',4090,1,'2536942','2020-04-25 12:10:12','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('7c0c1668-b783-413f-afc4-678a5a6d1033','已完成',3850,3,'6803936','2020-04-25 12:09:20','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('7fa02f7a-10df-4247-9935-94c8b7d4dbc0','已提交',1060,0,'6119810','2020-04-25 12:09:21','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('820c5e83-f2e0-42d4-b5f0-83802c75addc','已付款',9270,2,'5818454','2020-04-25 12:10:09','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('83ed55ec-a439-44e0-8fe0-acb7703fb691','已完成',8380,2,'6804703','2020-04-25 12:09:52','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('85287268-f139-4d59-8087-23fa6454de9d','已取消',9750,1,'4382852','2020-04-25 12:10:00','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('8d32669e-327a-4802-89f4-2e91303aee59','已提交',9390,1,'4182962','2020-04-25 12:09:57','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('8dadc2e4-63f1-490f-9182-793be64fed76','已付款',9350,1,'5937549','2020-04-25 12:09:02','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('94ad8ee0-8898-442c-8cb1-083a4b609616','已提交',4370,0,'4666456','2020-04-25 12:09:13','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('994cbb44-f0ee-45ff-a4f4-76c87bc2b972','已付款',3190,3,'3200759','2020-04-25 12:09:25','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('9ff3032c-8679-4247-9e6f-4caf2dc93aff','已提交',850,0,'8835231','2020-04-25 12:09:40','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('9ff4032c-1223-4247-9e6f-123456dfdsds','已付款',850,0,'8835231','2020-04-25 12:09:45','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('a467ba42-f91e-48a0-865e-1703aaa45e0e','已提交',8040,0,'8206022','2020-04-25 12:09:50','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('a5302f47-96d9-41b4-a14c-c7a508f59282','已付款',8570,2,'5319315','2020-04-25 12:08:44','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('a5b57bec-6235-45f4-bd7e-6deb5cd1e008','已提交',5700,3,'6486444','2020-04-25 12:09:27','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('ae5c3363-cf8f-48a9-9676-701a7b0a7ca5','已付款',7460,1,'2379296','2020-04-25 12:09:23','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('b1fb2399-7cf2-4af5-960a-a4d77f4803b8','已提交',2690,3,'6686018','2020-04-25 12:09:55','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('b21c7dbd-dabd-4610-94b9-d7039866a8eb','已提交',6310,2,'1552851','2020-04-25 12:09:15','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('b4bfd4b7-51f5-480e-9e23-8b1579e36248','已提交',4000,1,'3260372','2020-04-25 12:09:35','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('b63983cc-2b59-4992-84c6-9810526d0282','已提交',7370,3,'3107867','2020-04-25 12:08:45','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('bf60b752-1ccc-43bf-9bc3-b2aeccacc0ed','已提交',720,2,'5034117','2020-04-25 12:09:03','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('c808addc-8b8b-4d89-99b1-db2ed52e61b4','已提交',3630,1,'6435854','2020-04-25 12:09:10','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('cc9dbd20-cf9f-4097-ae8b-4e73db1e4ba1','已付款',5000,0,'2007322','2020-04-25 12:08:38','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('ccceaf57-a5ab-44df-834a-e7b32c63efc1','已提交',2660,2,'7928516','2020-04-25 12:09:42','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('d7be5c39-e07c-40e8-bf09-4922fbc6335c','已付款',8750,2,'1250995','2020-04-25 12:09:09','食品;家用电器;');
UPSERT INTO "ORDER_DTL" VALUES('dfe16df7-4a46-4b6f-9c6d-083ec215218e','已完成',410,0,'1923817','2020-04-25 12:09:56','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e1241ad4-c9c1-4c17-93b9-ef2c26e7f2b2','已付款',6760,0,'2457464','2020-04-25 12:08:54','数码;女装;');
UPSERT INTO "ORDER_DTL" VALUES('e180a9f2-9f80-4b6d-99c8-452d6c037fc7','已完成',8120,2,'7645270','2020-04-25 12:09:32','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('e4418843-9ac0-47a7-bfd8-d61c4d296933','已付款',8170,2,'7695668','2020-04-25 12:09:11','家用电器;;电脑;');
UPSERT INTO "ORDER_DTL" VALUES('e8b3bb37-1019-4492-93c7-305177271a71','已完成',2560,2,'4405460','2020-04-25 12:10:05','男装;男鞋;');
UPSERT INTO "ORDER_DTL" VALUES('eb1a1a22-953a-42f1-b594-f5dfc8fb6262','已完成',2370,2,'8233485','2020-04-25 12:09:24','机票;文娱;');
UPSERT INTO "ORDER_DTL" VALUES('ecfd18f5-45f2-4dcd-9c47-f2ad9b216bd0','已付款',8070,3,'6387107','2020-04-25 12:09:04','酒店;旅游;');
UPSERT INTO "ORDER_DTL" VALUES('f1226752-7be3-4702-a496-3ddba56f66ec','已付款',4410,3,'1981968','2020-04-25 12:10:10','维修;手机;');
UPSERT INTO "ORDER_DTL" VALUES('f642b16b-eade-4169-9eeb-4d5f294ec594','已提交',4010,1,'6463215','2020-04-25 12:09:29','男鞋;汽车;');
UPSERT INTO "ORDER_DTL" VALUES('f8f3ca6f-2f5c-44fd-9755-1792de183845','已付款',5950,3,'4060214','2020-04-25 12:09:12','机票;文娱;');

  -  不创建索引查询

explain select "status", "money", "pay_way", "user_id" from ORDER_DTL WHERE "status" = '已提交' AND "pay_way" = 1;

  -  创建本地索引

create local index LOCAL_IDX_ORDER_DTL on ORDER_DTL("id", "status", "money", "pay_way", "user_id") ;

  -  基于本地索引查询

select "status", "money", "pay_way", "user_id" from ORDER_DTL WHERE "status" = '已提交';
select * from ORDER_DTL WHERE "status" = '已提交';
explain select * from ORDER_DTL WHERE "status" = '已提交' AND "pay_way" = 1;

  -  删除索引

drop index LOCAL_IDX_ORDER_DTL on ORDER_DTL;

小结：实现二级索引中本地索引的设计及测试

18：【了解】二级索引：协处理器的功能介绍

目标：了解协处理器的功能
实施
- 功能：什么是协处理器？
  - 协处理器指的是可以自定义开发一些功能集成到Hbase中
  - 类似于Hive中的UDF，当没有这个功能时，可以使用协处理器来自定义开发，让Hbase支持对应的功能
- 分类
  - observer：观察者类型，类似于监听机制，MySQL中的触发器或者Zookeeper中的监听
    - 实现：监听A，如果A触发了，就执行B
    - 监听：Region、Table、RegionServer、Master
    - 触发：监听A，如果A触发了，执行B
      - pre：阻塞A，先执行B，再执行A
      - post：A先执行，B在A执行完成之后再执行
  - endpoint：终端者类型，类似于MySQL中的存储过程或者Java中的方法
    - 实现：固定一个代码逻辑，可以随时根据需求调用代码逻辑
- 优点：功能非常强大，可以满足各种Hbase的使用需求
- 缺点：开发成本较高，维护较为麻烦
- 测试
  - 需求：当往第一张表写入数据时，自动往第二张表写入一条数据，并且将rowkey中的字段换位
    - put 'proc1','20191211_001','info:name','zhangsan'
    - proc1：rowkey：20191211_001
    - proc2：rowkey：001_20191211
  - 创建两张表

#rowkey：time_id
create 'proc1','info'
#rowkey：id_time
create 'proc2','info'

  -  将开发好的协处理器jar包上传到hdfs上

hdfs dfs -mkdir -p /coprocessor/jar
hdfs dfs -put cop.jar /coprocessor/jar/

  -  添加协处理器到proc1中，用于监听proc1的操作

disable 'proc1'
alter 'proc1',METHOD => 'table_att','Coprocessor'=>'hdfs://node1:8020/coprocessor/jar/cop.jar|bigdata.itcast.cn.hbase.coprocessor.SyncCoprocessor|1001|'
enable 'proc1'

  -  测试

put 'proc1','20191211_001','info:name','zhangsan'
scan 'proc1'
scan 'proc2'

  -  卸载协处理器

disable 'proc1'
alter 'proc1',METHOD=>'table_att_unset',NAME=>'coprocessor$1'
enable 'proc1'

小结：了解协处理器的功能

附录一：Maven依赖

    <repositories>
        <repository>
            <id>aliyun</id>
            <url>http://maven.aliyun.com/nexus/content/groups/public/</url>
        </repository>
    </repositories>

    <dependencies>
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-client</artifactId>
            <version>2.1.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-mapreduce</artifactId>
            <version>2.1.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-jobclient</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-core</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-auth</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>commons-io</groupId>
            <artifactId>commons-io</artifactId>
            <version>2.6</version>
        </dependency>
        <!-- JUnit 4 依赖 -->
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.13</version>
        </dependency>
        <!-- phoenix core -->
        <dependency>
            <groupId>org.apache.phoenix</groupId>
            <artifactId>phoenix-core</artifactId>
            <version>5.0.0-HBase-2.0</version>
        </dependency>
        <!-- phoenix 客户端 -->
        <dependency>
            <groupId>org.apache.phoenix</groupId>
            <artifactId>phoenix-queryserver-client</artifactId>
            <version>5.0.0-HBase-2.0</version>
        </dependency>
    </dependencies>