springboot + zipkin + mysql

zipkin的数据存储可以存在4个地方：

内存（仅用于测试，数据不会持久化，zipkin-server关掉，数据就没有了）
- 这也是之前使用的
mysql
- 可能是最熟悉的方式
es
Cassandra

一、代码（基于第二十八章 springboot + zipkin（brave定制-AsyncHttpClient））

1、pom.xml

1         <dependency>
2             <groupId>io.zipkin.brave</groupId>
3             <artifactId>brave-mysql</artifactId>
4             <version>3.9.0</version>
5         </dependency>

2、ZipkinConfig添加如下

1     @Bean
2     public MySQLStatementInterceptorManagementBean mySQLStatementInterceptorManagementBean(Brave brave) {
3         return new MySQLStatementInterceptorManagementBean(brave.clientTracer());
4     }

二、数据库

1、建库

自己创建库（eg.mytestdb）就好

2、建表

在mytestdb中执行zipkin准备好的脚本mysql.sql来创建三张表以及各个索引。

mysql.sql位置：https://github.com/openzipkin/zipkin/blob/master/zipkin-storage/mysql/src/main/resources/mysql.sql

或者直接将整个zipkin项目克隆下来，再进去看内容。

mysql.sql内容如下：

CREATE TABLE IF NOT EXISTS zipkin_spans (
`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;

ALTER TABLE zipkin_spans ADD UNIQUE KEY(`trace_id`, `id`) COMMENT 'ignore insert on duplicate';
ALTER TABLE zipkin_spans ADD INDEX(`trace_id`, `id`) COMMENT 'for joining with zipkin_annotations';
ALTER TABLE zipkin_spans ADD INDEX(`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` 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;

ALTER TABLE zipkin_annotations ADD UNIQUE KEY(`trace_id`, `span_id`, `a_key`, `a_timestamp`) COMMENT 'Ignore insert on duplicate';
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id`, `span_id`) COMMENT 'for joining with zipkin_spans';
ALTER TABLE zipkin_annotations ADD INDEX(`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';

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

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

 1 CREATE TABLE IF NOT EXISTS zipkin_spans (
 2   `trace_id` BIGINT NOT NULL,
 3   `id` BIGINT NOT NULL,
 4   `name` VARCHAR(255) NOT NULL,
 5   `parent_id` BIGINT,
 6   `debug` BIT(1),
 7   `start_ts` BIGINT COMMENT 'Span.timestamp(): epoch micros used for endTs query and to implement TTL',
 8   `duration` BIGINT COMMENT 'Span.duration(): micros used for minDuration and maxDuration query'
 9 ) ENGINE=InnoDB ROW_FORMAT=COMPRESSED;
10 
11 ALTER TABLE zipkin_spans ADD UNIQUE KEY(`trace_id`, `id`) COMMENT 'ignore insert on duplicate';
12 ALTER TABLE zipkin_spans ADD INDEX(`trace_id`, `id`) COMMENT 'for joining with zipkin_annotations';
13 ALTER TABLE zipkin_spans ADD INDEX(`trace_id`) COMMENT 'for getTracesByIds';
14 ALTER TABLE zipkin_spans ADD INDEX(`name`) COMMENT 'for getTraces and getSpanNames';
15 ALTER TABLE zipkin_spans ADD INDEX(`start_ts`) COMMENT 'for getTraces ordering and range';
16 
17 CREATE TABLE IF NOT EXISTS zipkin_annotations (
18   `trace_id` BIGINT NOT NULL COMMENT 'coincides with zipkin_spans.trace_id',
19   `span_id` BIGINT NOT NULL COMMENT 'coincides with zipkin_spans.id',
20   `a_key` VARCHAR(255) NOT NULL COMMENT 'BinaryAnnotation.key or Annotation.value if type == -1',
21   `a_value` BLOB COMMENT 'BinaryAnnotation.value(), which must be smaller than 64KB',
22   `a_type` INT NOT NULL COMMENT 'BinaryAnnotation.type() or -1 if Annotation',
23   `a_timestamp` BIGINT COMMENT 'Used to implement TTL; Annotation.timestamp or zipkin_spans.timestamp',
24   `endpoint_ipv4` INT COMMENT 'Null when Binary/Annotation.endpoint is null',
25   `endpoint_ipv6` BINARY(16) COMMENT 'Null when Binary/Annotation.endpoint is null, or no IPv6 address',
26   `endpoint_port` SMALLINT COMMENT 'Null when Binary/Annotation.endpoint is null',
27   `endpoint_service_name` VARCHAR(255) COMMENT 'Null when Binary/Annotation.endpoint is null'
28 ) ENGINE=InnoDB ROW_FORMAT=COMPRESSED;
29 
30 ALTER TABLE zipkin_annotations ADD UNIQUE KEY(`trace_id`, `span_id`, `a_key`, `a_timestamp`) COMMENT 'Ignore insert on duplicate';
31 ALTER TABLE zipkin_annotations ADD INDEX(`trace_id`, `span_id`) COMMENT 'for joining with zipkin_spans';
32 ALTER TABLE zipkin_annotations ADD INDEX(`trace_id`) COMMENT 'for getTraces/ByIds';
33 ALTER TABLE zipkin_annotations ADD INDEX(`endpoint_service_name`) COMMENT 'for getTraces and getServiceNames';
34 ALTER TABLE zipkin_annotations ADD INDEX(`a_type`) COMMENT 'for getTraces';
35 ALTER TABLE zipkin_annotations ADD INDEX(`a_key`) COMMENT 'for getTraces';
36 
37 CREATE TABLE IF NOT EXISTS zipkin_dependencies (
38   `day` DATE NOT NULL,
39   `parent` VARCHAR(255) NOT NULL,
40   `child` VARCHAR(255) NOT NULL,
41   `call_count` BIGINT
42 ) ENGINE=InnoDB ROW_FORMAT=COMPRESSED;
43 
44 ALTER TABLE zipkin_dependencies ADD UNIQUE KEY(`day`, `parent`, `child`);

执行脚本之后，数据库出现三张表，如下：

三、启动命令

STORAGE_TYPE=mysql MYSQL_HOST=192.192.192.192 MYSQL_TCP_PORT=3306 MYSQL_DB=mytestdb MYSQL_USER=root MYSQL_PASS=123456 nohup java -jar zipkin-server-1.5.1-exec.jar &
- STORAGE_TYPE：存储类型，这里是mysql
- MYSQL_HOST和MYSQL_TCP_PORT：创建connection
- MYSQL_USER和MYSQL_PASS：用户名和密码

四、测试

启动4个service，然后swagger测试，最后查看zipkin和数据库表即可。

来源：https://www.cnblogs.com/zyy1688/p/11024275.html

标签

Zipkin

mysql

时间戳

table

mysql数据库