标签：COMMENT 10 用户 doris 使用 2017 安装 id Doris

1. 整体架构

2. 安装部署

2.1 资源规划

实例名称	端口名称	默认端口	通信方式	说明
FE	http_port	8030 -> 8034	用户/FE<--> FE	FE上的http端口 web管理界面
BE	webserver_port	8040 -> 8041	BE<-->FE	BE上的http端口跟hadoop端口号冲突
FE	query_port	9030	用户 <--> FE	FE上的mysql server端口 navicat连接端口

2.2 部署步骤

1. 方式一：bin包安装

https://doris.apache.org/zh-CN/download

1.下载apache-doris-2.0.0-bin-x64.tar.gz
2.解压  
3.修改配置文件 
修改ip、port
新增JAVA_HOME=/data/module/jdk1.8.0_212

4.新建数据目录
mkdir doris-meta
mkdir doris-storage1
mkdir doris-storage2

5.建库
#连接FE，默认无密码  
mysql -h core1 -P 9030 -uroot
#修改密码：
SET PASSWORD FOR 'root' = PASSWORD('000000'); 
#添加用户：  
create user 'test' identified by 'test';
#再次进入： 
mysql -h master1 -P 9030 -uroot -p000000

CREATE USER 'test' IDENTIFIED BY 'test';
GRANT ALL ON wafbase TO test;


CREATE USER 'sase'@'%' IDENTIFIED BY 'Xnetworks.c0M';
GRANT SELECT_PRIV  ON internal.wafbase.*  TO 'test'@'%';

SHOW ROLES;
show all grants;

#查看sql语法: 
HELP ALTER TABLE ;

#添加BE要用ip,不能用host
ALTER SYSTEM ADD BACKEND "172.31.12.14:9050"; 
ALTER SYSTEM ADD BACKEND "172.31.12.10:9050"; 
ALTER SYSTEM ADD BACKEND "172.31.12.5:9050"; 
SHOW PROC '/backends';

#添加FE
ALTER SYSTEM ADD FOLLOWER "172.31.12.14:9010";
ALTER SYSTEM ADD OBSERVER "172.31.12.10:9010";
SHOW PROC '/frontends';

#添加BROKER
ALTER SYSTEM ADD BROKER broker_name "172.31.12.5:8000","172.31.12.10:8000","172.31.12.14:8000";
SHOW PROC "/brokers";

6.启动 
第一次启动加helper
fe/bin/start_fe.sh --helper 172.31.12.5:9010 --daemon 
fe/bin/start_fe.sh --helper 172.31.12.5:9010 --daemon 

be/bin/start_be.sh --daemon
fe/bin/start_fe.sh --daemon

7.web界面
http://core1:8034/login

2. 方式二：安装manager部署doris

地址：https://www.selectdb.com/download/enterprise#manager
QA: https://selectdb.feishu.cn/docx/AdaudiDKQovS7SxQwhucrUg7nPd

1.安装manager的用户(hadoop)要配好ssh免密
ssh: vim /etc/ssh/sshd_config（注意不同用户路径不同）
切换到hadoop用户生成公钥


2.权限
具有是否具有crontab权限：crontab -l
查看是否具有S权限位： ll /bin/crontab
chmod a+s /bin/crontab
chmod g-s /bin/crontab

vim /etc/security/access.conf
+ : hadoop : crontab : ALL
 
echo hadoop >> /etc/cron.allow

3.启动
1.下载Enterprise Manager：doris-manager-23.11.3-x64-bin.tar.gz
cd webserver/
bin/start.sh

4.界面部署doris集群
manager:http://172.31.12.14/:8004  root/@Xnetworks.c0M
sql:http://172.31.12.14:8010/cluster/query

apache-doris升级selectdb-doris才能使用WEBUI界面，manager支持一键升级。
1.下载Enterprise Core：selectdb-doris-2.0.4-b01-bin-x64.tar.gz
2.移到到/data/software/doris目录，让manager找到安装包即可直接she

3. 使用

3.1 数据模型

3.1.1 Aggregate

聚合需求
Key-维度列  排序列和唯一列
Value-指标列   AggregationType
SUM / MAX / MIN / REPLACE / REPLACE_IF_NOT_NULL / HLL_UNION / BITMAP_UNION
CREATE TABLE IF NOT EXISTS example_tbl_agg
(
    `user_id` LARGEINT NOT NULL COMMENT "用户id",
    `date` DATE NOT NULL COMMENT "数据灌入日期时间",
    `timestamp` DATETIME NOT NULL COMMENT "数据灌入日期时间戳",
    `city` VARCHAR(20) COMMENT "用户所在城市",
    `age` SMALLINT COMMENT "用户年龄",
    `sex` TINYINT COMMENT "用户性别",
    `last_visit_date` DATETIME REPLACE DEFAULT "1970-01-01 00:00:00" COMMENT "用户最后一次访问时间",
    `cost` BIGINT SUM DEFAULT "0" COMMENT "用户总消费",
    `max_dwell_time` INT MAX DEFAULT "0" COMMENT "用户最大停留时间",
    `min_dwell_time` INT MIN DEFAULT "99999" COMMENT "用户最小停留时间"
)
AGGREGATE KEY(`user_id`, `date`, `timestamp` ,`city`, `age`, `sex`)
DISTRIBUTED BY HASH(`user_id`) BUCKETS 1
PROPERTIES ("replication_allocation" = "tag.location.default: 1");

局限性：
1.查询与聚合类型不一致的聚合类时，查询效率降低，比如cost是SUM，查询时用MIN(cost);
2.count(*)开销很大，增加一个值恒为1的SUM的列，select sum(count) from table。

3.1.2 Unique

UNIQUE KEY：根据主键去重，默认写时合并，排序列和唯一列
效果等同于Aggregate模式的REPLACE
CREATE TABLE IF NOT EXISTS example_tbl_unique
(
    `user_id` LARGEINT NOT NULL COMMENT "用户id",
    `username` VARCHAR(50) NOT NULL COMMENT "用户昵称",
    `city` VARCHAR(20) COMMENT "用户所在城市",
    `age` SMALLINT COMMENT "用户年龄",
    `sex` TINYINT COMMENT "用户性别",
    `phone` LARGEINT COMMENT "用户电话",
    `address` VARCHAR(500) COMMENT "用户地址",
    `register_time` DATETIME COMMENT "用户注册时间"
)
UNIQUE KEY(`user_id`, `username`)
DISTRIBUTED BY HASH(`user_id`) BUCKETS 1
PROPERTIES ("replication_allocation" = "tag.location.default: 1");

局限性：unique是aggregate的特例

3.1.3 Duplicate

默认的模型，保留明细数据  DUPLICATE KEY：排序列
CREATE TABLE IF NOT EXISTS example_tbl_duplicate
(
    `timestamp` DATETIME NOT NULL COMMENT "日志时间",
    `type` INT NOT NULL COMMENT "日志类型",
    `error_code` INT COMMENT "错误码",
    `error_msg` VARCHAR(1024) COMMENT "错误详细信息",
    `op_id` BIGINT COMMENT "负责人id",
    `op_time` DATETIME COMMENT "处理时间"
)
DUPLICATE KEY(`timestamp`, `type`, `error_code`)
DISTRIBUTED BY HASH(`type`) BUCKETS 1
PROPERTIES ("replication_allocation" = "tag.location.default: 1");

3.2 数据划分

3.2.1 Partition & Bucket

表的数据量可以通过 SHOW DATA 命令查看，结果除以副本数，即表的数据量

   Partition 分区：Range 和 List                50GB
   Bucket（Tablet）分桶：Hash 和 Random         1G-10G 
   500MB     4-8个Bucket
   5GB       8-16个Bucket
   50GB      32个Bucket
   500GB     10个Partition    每个分区32个Bucket
   5TB       100个Partition   每个分区32个Bucket

3.2.2 动态分区

CREATE TABLE event_log (
    ts DATETIME
) 
DUPLICATE KEY(ts)
PARTITION BY RANGE(ts) ()
DISTRIBUTED BY HASH(ts) 
PROPERTIES
(
    "replication_num" = "1",
    "dynamic_partition.enable" = "true",
    "dynamic_partition.time_unit" = "DAY",
    "dynamic_partition.start" = "-30",   --删除历史分区
    "dynamic_partition.end" = "2",
    "dynamic_partition.prefix" = "p",
    "dynamic_partition.buckets" = "32"

);

SHOW DYNAMIC PARTITION TABLES;

3.3 查询优化

3.3.1 Rollup

  Aggregate 和 Uniq 模型中的 ROLLUP表
在Base表的基础上，获得更粗粒度的聚合数据，即将数据按某种指定的粒度进行进一步聚合。 
CREATE TABLE IF NOT EXISTS example_site_visit2 
( 
    `user_id` LARGEINT NOT NULL COMMENT "用户id", 
    `date` DATE NOT NULL COMMENT "数据灌入日期时间", 
    `timestamp` DATETIME COMMENT "数据灌入时间，精确到秒", 
    `city` VARCHAR(20) COMMENT "用户所在城市", 
    `age` SMALLINT COMMENT "用户年龄", 
    `sex` TINYINT COMMENT "用户性别", 
    `last_visit_date` DATETIME REPLACE DEFAULT "1970-01-01 00:00:00" COMMENT "用户最后一次访问时间", 
    `cost` BIGINT SUM DEFAULT "0" COMMENT "用户总消费", 
    `max_dwell_time` INT MAX DEFAULT "0" COMMENT "用户最大停留时间", 
    `min_dwell_time` INT MIN DEFAULT "99999" COMMENT "用户最小停留时间" 
) 
AGGREGATE KEY(`user_id`, `date`, `timestamp`, `city`, `age`, `sex`) 
DISTRIBUTED BY HASH(user_id) BUCKETS 10 PROPERTIES("replication_num" = "1");

insert into example_site_visit2 values
(10000,'2017-10-01','2017-10-01 08:00:05','北京',20,0,'2017-10-01 06:00:00',20,10,10), 
(10000,'2017-10-01','2017-10-01 09:00:05','北京',20,0,'2017-10-01 07:00:00',15,2,2), 
(10001,'2017-10-01','2017-10-01 18:12:10','北京',30,1,'2017-10-01 17:05:45',2,22,22), 
(10002,'2017-10-02','2017-10-02 13:10:00','上海',20,1,'2017-10-02 12:59:12',200,5,5), 
(10003,'2017-10-02','2017-10-02 13:15:00','广州',32,0,'2017-10-02 11:20:00',30,11,11),
(10004,'2017-10-01','2017-10-01 12:12:48','深圳',35,0,'2017-10-01 10:00:15',100,3,3),
(10004,'2017-10-03','2017-10-03 12:38:20','深圳',35,0,'2017-10-03 10:20:22',11,6,6); 


select * from example_site_visit2;
desc example_site_visit2 all; 

alter table example_site_visit2 add rollup rollup_cost_userid(user_id,cost); 
alter table example_site_visit2 add rollup rollup_city_age_cost_maxd_mind(city,age,cost,max_dwell_time,min_dwell_time);
explain SELECT sum(cost),user_id FROM example_site_visit2 GROUP BY user_id; 
explain SELECT sum(cost),user_id,city FROM example_site_visit2 GROUP BY user_id,city;
explain SELECT city, age,max(max_dwell_time), min(min_dwell_time), sum(cost) FROM example_site_visit2 GROUP BY age,city; 
SHOW ALTER TABLE ROLLUP;

Duplicate 模型中的 ROLLUP
与mysql索引不同，不支持在任意字段创建索引。doris用的是前缀索引（前36个字节），所以需要调整列顺序，以命中前缀索引

说明：
1.用户可以创建和删除ROLLUP表，但是否命中是Doris自动决定；
2.创建的ROLLUP越多，占用的磁盘空间越大，查询速度变快，导入速度会减低；

3.3.2 物化视图

视图-sql
物化视图-sql+结果

HELP CREATE MATERIALIZED VIEW
HELP ALTER TABLE;

create database test_db; 

CREATE TABLE  flinktest (
    siteid INT DEFAULT '10',
    citycode SMALLINT,
    username VARCHAR(32) DEFAULT '',
    pv BIGINT SUM DEFAULT '0'
 ) 
 AGGREGATE KEY(siteid, citycode, username) 
 DISTRIBUTED BY HASH(siteid) 
 BUCKETS 10 
 PROPERTIES("replication_num" = "1");
  
 insert into  flinktest  values
  (1, 1, 'jim', 2),
  (2, 1, 'grace', 2),
  (3, 2, 'tom', 2),
  (4, 3, 'bush', 3),
  (5, 3, 'helen', 3);
  
SELECT  *  from   flinktest;

show data;
SHOW ALTER TABLE COLUMN;
desc flinktest;

  
ALTER TABLE flinktest ADD COLUMN uv BIGINT SUM DEFAULT '0' after pv;
ALTER TABLE flinktest ADD COLUMN ct BIGINT SUM DEFAULT '0' after pv;
ALTER TABLE flinktest DROP COLUMN uv;
ALTER TABLE flinktest MODIFY COLUMN username VARCHAR(32);
ALTER TABLE event_log RENAME COLUMN ruleId rule_id ;

4. 数据导入

Broker load
create table hdfs_student 
( 
id int , 
name varchar(50), 
age int , 
score decimal(10,4) 
) 
DUPLICATE KEY(id) 
DISTRIBUTED BY HASH(id) BUCKETS 10 properties("replication_num" = "1");

hadoop fs -put student.csv / 

LOAD LABEL test_db.hdfs_student 
( 
DATA INFILE("hdfs://master1:8020/student.csv") 
INTO TABLE `hdfs_student` 
COLUMNS TERMINATED BY "," 
FORMAT AS "csv" 
(id, name, age, score) 
) 
WITH BROKER broker_name  
PROPERTIES 
( 
    "timeout" = "3600" 
  
); 

show load order by createtime desc limit 1;
select * from hdfs_student;

curl --location-trusted -u root:000000 -H "label:stream" -H "column_separator:," -T student.csv http://172.31.12.5:8034/api/test_db/hdfs_student/_stream_load
参考资料：

doris：
最全 Apache Doris 学习资料汇总（文档/视频/PPT）持续更新中
https://doris.apache.org/zh-CN/docs/dev/data-operate/import/import-scenes/kafka-load/

kafka
doris：https://doris.apache.org/zh-CN/docs/dev/data-operate/import/import-scenes/kafka-load/
ssl认证：https://www.cnblogs.com/felixzh/p/14661156.html

flink:
https://doris.apache.org/zh-CN/docs/dev/ecosystem/flink-doris-connector/
https://mp.weixin.qq.com/s/3VvaC8uzhkhJaHXhoGi2TQ

标签：COMMENT,10,用户,doris,使用,2017,安装,id,Doris
From： https://www.cnblogs.com/xiao-hua-sheng/p/18157565

Doris安装使用