微服務架構下 多個服務之間相互調用，在解決問題的時候，請求鏈路的追蹤是十分有必要的，鑒於項目中采用的spring cloud架構，所以為了方便使用，便於接入等

項目中采用了spring cloud sleuth + zipkin 。現總結如下：

spring cloud sleuth + zipkin 總共分為幾個角色：

1、信息上傳（上傳方式：RABBIT、KAFKA，WEB）

2、信息存儲（mysql、es 等）

3、信息展示 （web查詢界面）

測試環境中采用了最簡單 client端通過http上傳到server，server存儲到mysql中

一、client端

加入依賴

compile(‘org.springframework.cloud:spring-cloud-starter-zipkin‘)

增加配置：

spring:
  zipkin:
  enabled: true
  base-url: http://zipkin-server
  sender:
    type: web
sleuth:
  sampler:
    percentage: 1.0

客戶端采用type:web方式，上傳到 base-url:zipkin-server （zipkin-server 註冊到Euraka可以實現多個實例的負載均衡）采樣頻率 percentage: 1.0 （即100%上傳）

二、server端

1）引入依賴：

compile(‘io.zipkin.java:zipkin-server‘)
compile(‘io.zipkin.java:zipkin-autoconfigure-ui‘)
compile(‘io.zipkin.java:zipkin-autoconfigure-storage-mysql‘)

2）增加EnableZipkinServer 註解：

1 @EnableEurekaClient
2 @SpringBootApplication
3 @EnableZipkinServer
4 public class ZipkinServerApplication {
 
5     public static void main(String[] args) {
6         SpringApplication.run(ZipkinServerApplication.class, args);
7     }
8 }

3）初始化數據庫：

CREATE TABLE IF NOT EXISTS zipkin_spans (
  `trace_id_high` BIGINT NOT NULL DEFAULT 0 COMMENT ‘If non zero, this means the trace uses 128 bit traceIds instead of 64 bit‘,
  `trace_id` BIGINT NOT NULL,
  `id` BIGINT NOT NULL,
  `name` VARCHAR(255) NOT NULL,
  `parent_id` BIGINT,
  `debug` BIT(1),
  `start_ts` BIGINT COMMENT ‘Span.timestamp(): epoch micros used for endTs query and to implement TTL‘,
  `duration` BIGINT COMMENT ‘Span.duration(): micros used for minDuration and maxDuration query‘
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_spans ADD UNIQUE KEY(`trace_id_high`, `trace_id`, `id`) COMMENT ‘ignore insert on duplicate‘;
ALTER TABLE zipkin_spans ADD INDEX(`trace_id_high`, `trace_id`, `id`) COMMENT ‘for joining with zipkin_annotations‘;
ALTER TABLE zipkin_spans ADD INDEX(`trace_id_high`, `trace_id`) COMMENT ‘for getTracesByIds‘;
ALTER TABLE zipkin_spans ADD INDEX(`name`) COMMENT ‘for getTraces and getSpanNames‘;
ALTER TABLE zipkin_spans ADD INDEX(`start_ts`) COMMENT ‘for getTraces ordering and range‘;

CREATE TABLE IF NOT EXISTS zipkin_annotations (
  `trace_id_high` BIGINT NOT NULL DEFAULT 0 COMMENT ‘If non zero, this means the trace uses 128 bit traceIds instead of 64 bit‘,
  `trace_id` BIGINT NOT NULL COMMENT ‘coincides with zipkin_spans.trace_id‘,
  `span_id` BIGINT NOT NULL COMMENT ‘coincides with zipkin_spans.id‘,
  `a_key` VARCHAR(255) NOT NULL COMMENT ‘BinaryAnnotation.key or Annotation.value if type == -1‘,
  `a_value` BLOB COMMENT ‘BinaryAnnotation.value(), which must be smaller than 64KB‘,
  `a_type` INT NOT NULL COMMENT ‘BinaryAnnotation.type() or -1 if Annotation‘,
  `a_timestamp` BIGINT COMMENT ‘Used to implement TTL; Annotation.timestamp or zipkin_spans.timestamp‘,
  `endpoint_ipv4` INT COMMENT ‘Null when Binary/Annotation.endpoint is null‘,
  `endpoint_ipv6` BINARY(16) COMMENT ‘Null when Binary/Annotation.endpoint is null, or no IPv6 address‘,
  `endpoint_port` SMALLINT COMMENT ‘Null when Binary/Annotation.endpoint is null‘,
  `endpoint_service_name` VARCHAR(255) COMMENT ‘Null when Binary/Annotation.endpoint is null‘
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_annotations ADD UNIQUE KEY(`trace_id_high`, `trace_id`, `span_id`, `a_key`, `a_timestamp`) COMMENT ‘Ignore insert on duplicate‘;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id_high`, `trace_id`, `span_id`) COMMENT ‘for joining with zipkin_spans‘;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id_high`, `trace_id`) COMMENT ‘for getTraces/ByIds‘;
ALTER TABLE zipkin_annotations ADD INDEX(`endpoint_service_name`) COMMENT ‘for getTraces and getServiceNames‘;
ALTER TABLE zipkin_annotations ADD INDEX(`a_type`) COMMENT ‘for getTraces‘;
ALTER TABLE zipkin_annotations ADD INDEX(`a_key`) COMMENT ‘for getTraces‘;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id`, `span_id`, `a_key`) COMMENT ‘for dependencies job‘;

CREATE TABLE IF NOT EXISTS zipkin_dependencies (
  `day` DATE NOT NULL,
  `parent` VARCHAR(255) NOT NULL,
  `child` VARCHAR(255) NOT NULL,
  `call_count` BIGINT,
  `error_count` BIGINT
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_dependencies ADD UNIQUE KEY(`day`, `parent`, `child`);

4）配置數據庫 （略）

5）為了控制訪問權限， 采用Spring security最簡單的basic認證

Configuration
@EnableWebSecurity
public class WebSecurityConfig extends WebSecurityConfigurerAdapter {

    @Value("${visit.username}")
    private String userName;
    @Value("${visit.password}")
    private String password;

    @Override
    protected void configure(HttpSecurity http) throws Exception {
        http.csrf().disable()
                .authorizeRequests()
                .antMatchers("/health").permitAll()
                .antMatchers("/zipkin").hasRole("ADMIN")
                .anyRequest().authenticated()
                .and()
                .httpBasic();


    }

6）將服務發布到k8s集群中，同是采用 NodePord方式 暴露端口出去，不用通過網關就可以訪問

三、信息查詢

1、主頁 可以按條件過濾

可以按條件進行過濾~ 請求路徑方法 等，這裏最重要的是可以網關中加入自定義 tag 例如手機號 用戶號等自定義信息 ~

2、詳細信息服務之間的調用鏈路

全鏈路追蹤spring-cloud-sleuth-zipkin