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// hello.java
class Hello {
  public static void main(String[] args){
    System.out.println("I'm a Simple Program");
  }
}

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├── cmd/
│   └── main.go //启动函数
├── server                 // 对外的服务，比如微服务，rpc
│   └── rpc
│   └── micro
├── pkg
    ├── common  // 全局
    │   └── conf
    │   └── log
    │   └── db
    │   └── redis
    │   └── globalvaribal
    │   └── const
    ├── internal/
    │       └── service/
    │           └── xxx_service.go //业务逻辑处理类
    │           └── xxx_service_test.go
    │       └── model/
    │           └── xxx_info.go//结构体
    │       └── api/
    │           └── xxx_api.go//路由对应的接口实现
    │       └── router/
    │           └── router.go//路由
    │       └── tools/   // 服务内部的一些公共工具,方法和函数
    │           └── datetool//时间工具类
    │           └── jsontool//json 工具类

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-- 显示所有数据库
SHOW database

-- 显示当前使用的数据库
select currentDatabase();

-- 创建数据库
CREATE database if not exists tick

-- 删除数据库
DROP  database tick ON CLUSTER <集群名>

-- 显示数据库中的所有表
show tables FROM tick ON CLUSTER <集群名>

-- 手动optimize，合并分区
optimize table tick final;

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-- 建表
create table IF NOT EXISTS test.user ON CLUSTER <集群名> (
    `uid` Int32,
    `name` String,
    `age` UInt32,
    `birthday` Date
)ENGINE = MergeTree()
PARTITION BY  (`birthday`)
ORDER BY (uid,birthday);

-- 设置表TTL
--    涉及判断的字段必须是Date或者Datetime类型，推荐使用分区的日期字段：
--      SECOND , MINUTE , HOUR , DAY , WEEK , MONTH , QUARTER , YEAR
Alter table test.user Modify TTL createAt+interval 1 day;


-- 显示表结构
DESCRIBE TABLE test.user;

-- 显示建表语句
SHOW CREATE TABLE test.user;

-- 删除表
DROP table IF EXISTS test.student;

-- 添加字段
alter table product_test add column `test` String DEFAULT '' COMMENT '注释';

--删除字段
alter table product_test drop column `test`;

--修改字段
alter table product_test modify column `test` Nullable(String) DEFAULT NULL COMMENT '注释';

--删除数据
ALTER TABLE db_name.table_name DROP PARTITION '分区(例如：时间20220516)'

-- 删除表中所有数据(清空表)
alter table tableName delete where 1=1;

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--ClickHouse支持视图功能，目前一共支持两种视图：普通（Normal）视图和物化（Materialized）视图
--通过DROP TABLE [$db_name.]$view_table_name语句可以直接删除视图，而通过SHOW TABLES可以展示所有的表，视图也会被认为是一种特殊的表一并进行展示

--普通视图
--普通视图不会存储任何数据，它只是一个查询映射，起到了简化查询语义的作用，对查询的性能也不会有任何正负作用


--物化视图
--物化视图支持定义表引擎，因为其数据保存的形式由表引擎决定
--需要定义表引擎，决定数据存储的形式
--物化视图中的数据不支持同步删除，如果源表的数据不存在或者源表被删除了，物化视图的数据依然存在
--物化视图不会随着基础表的变化而变化，所以它也称为快照（snapshot）
--如果要更新数据的话，需要用户手动进行，如周期性执行SQL，或利用触发器等机制

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//
clickhouse-client --host localhost --user admin --password admin

// 导出数据
clickhouse-client --query "select * from t_order_mt where create_time='2020-06-01 12:00:00'" --format CSVWithNames> /opt/module/data/rs1.csv

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# Show all running docker containers
docker ps
# Show all docker containers
docker ps -a
# Run a container
docker run <image>:<tag>
# Run a container and connect to it
docker run -it <image>:<tag>
# Run a container in the background
docker run -d <image>:<tag>
# Stop a container
docker stop <container>
# Kill a container
docker kill <container>

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# List available local images
docker images
# Search for docker images
docker search <image>
# Pull a docker image
docker pull <image>
# Build an image with a dockerfile
docker build -t <image>:<tag> <run_directory> -f <dockerfile>
# Login to a remote repository
docker login <repository>
# Push an image to your remotee repository
docker push <image>:<tag>
# Remove a local docker image
docker rmi <image>:<tag>
# Show metadata for an image
docker inspect <image>
# Remove all unused docker images
docker image prune

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# List volumes
docker volume ls
# Create a volume
docker volume create <volume>
# Delete a volume
docker volume rm <volume>
# Show volume metadata
docker volume inspect <volume>
# Delete all volumes not attached to a container
docker volume prune
# Mount a local directory to your container
docker run -v <local_dir>:<container_dir> <image>
# Copy file or folder from a docker container to host machine
docker cp <container>:<container_dir> <local_dir>
# Copy file or folder from local machine onto a container
docker cp <local_dir> <container>:<container_dir>
# Map a local port to a docker instance
docker run -d -p 127.0.0.1:<local_port>:<docker_port> <image>
# List the ports a docker container is running on
docker port <container>

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# Show the logs of a container
docker logs <container>
# Follow/tail the logs of a container
docker logs -f <container>
# Show timestamps on docker logs
docker logs -t <container>
# Show details/metadata of a container
docker inspect <container>
# Show a 'top' view of processes running on a container
docker top <container>
# Show a 'top' view of all docker containers
docker stats
# Show any files that have changed since startup
docker diff <container>
# Connect to an already running container
docker attach <container>
# Execute a command on a container
docker exec -it <container_id> /bin/bash
# Show docker system wide information
docker system info
# Show docker disk space used
docker system df

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# Start your docker-compose defined resources in detached mode
docker-compose up -d -f <docker_compose_yaml>
# Stop all docker-compose resources
docker-compose stop
# Destroy all docker-compose resources
docker-compose down
# Show docker-compose processes
docker-compose ps
# Show docker-compose logs
docker-compose logs
# Show docker-compose resource consumption
docker-compose top

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// fib.go
func FibSolution(n int) int {
 if n < 2 {
  return n
 }

 return FibSolution(n-1) + FibSolution(n-2)
}

// fib_test.go
func BenchmarkFib20(b *testing.B) {
 for i := 0; i < b.N; i++ {
  FibSolution(20)
 }
}

// 命令行执行go test -bench=BenchmarkFib20得到性能结果

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(1) 修改hosts
(2)
go env -w GOINSECURE="gitlab.yuliangtec.cn"
go env -w GONOSUMDB="gitlab.yuliangtec.cn"
go env -w GONOPROXY="gitlab.yuliangtec.cn"
go env -w GOPRIVATE="gitlab.yuliangtec.cn"

// (3) go get
go get com.yuliangtec.luna.proto


// (4) git tag --> go get
go get com.yuliangtec.luna.proto@v1.0.0