micrometer

在上一個博客中，我們使用由InfluxDB支持的Micrometer設置了React式應用程序。

在本教程中，我們將使用傳統的帶有JDBC的基于Servlet的阻塞Spring堆棧。 我選擇的數據庫是postgresql。 我將使用與先前博客文章相同的腳本。

因此，我們將擁有初始化數據庫的腳本

#!/bin/bash set -e psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL create schema spring_data_jpa_example; create table spring_data_jpa_example.employee( id SERIAL PRIMARY KEY , firstname TEXT NOT NULL , lastname TEXT NOT NULL , email TEXT not null , age INT NOT NULL , salary real , unique (email) ); insert into spring_data_jpa_example.employee (firstname,lastname,email,age,salary) values ( 'John' , 'Doe 1' , 'john1@doe.com' ,18,1234.23); insert into spring_data_jpa_example.employee (firstname,lastname,email,age,salary) values ( 'John' , 'Doe 2' , 'john2@doe.com' ,19,2234.23); insert into spring_data_jpa_example.employee (firstname,lastname,email,age,salary) values ( 'John' , 'Doe 3' , 'john3@doe.com' ,20,3234.23); insert into spring_data_jpa_example.employee (firstname,lastname,email,age,salary) values ( 'John' , 'Doe 4' , 'john4@doe.com' ,21,4234.23); insert into spring_data_jpa_example.employee (firstname,lastname,email,age,salary) values ( 'John' , 'Doe 5' , 'john5@doe.com' ,22,5234.23); EOSQL

我們將擁有一個包含InfluxDB，Postgres和Grafana的docker compose文件。

version: '3.5' services: influxdb: image: influxdb restart: always ports: - 8086 : 8086 grafana: image: grafana / grafana restart: always ports: - 3000 : 3000 postgres: image: postgres restart: always environment: POSTGRES_USER: db - user POSTGRES_PASSWORD: your - password POSTGRES_DB: postgres ports: - 5432 : 5432 volumes: - $PWD / init - db - script.sh: / docker - entrypoint - initdb.d / init - db - script.sh

現在是時候從我們的maven依賴關系開始構建我們的spring應用程序了。

<? xml version = "1.0" encoding = "UTF-8" ?> < project xmlns = " http://maven.apache.org/POM/4.0.0 " xmlns:xsi = " http://www.w3.org/2001/XMLSchema-instance " xsi:schemaLocation = " http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd " > < modelVersion >4.0.0</ modelVersion > < parent > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-parent</ artifactId > < version >2.2.4.RELEASE</ version > </ parent > < groupId >com.gkatzioura</ groupId > < artifactId >EmployeeApi</ artifactId > < version >1.0-SNAPSHOT</ version > < build > < defaultGoal >spring-boot:run</ defaultGoal > < plugins > < plugin > < groupId >org.apache.maven.plugins</ groupId > < artifactId >maven-compiler-plugin</ artifactId > < configuration > < source >8</ source > < target >8</ target > </ configuration > </ plugin > < plugin > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-maven-plugin</ artifactId > </ plugin > </ plugins > </ build > < dependencies > < dependency > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-web</ artifactId > </ dependency > < dependency > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-data-jpa</ artifactId > </ dependency > < dependency > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-actuator</ artifactId > </ dependency > < dependency > < groupId >org.postgresql</ groupId > < artifactId >postgresql</ artifactId > < version >42.2.8</ version > </ dependency > < dependency > < groupId >io.micrometer</ groupId > < artifactId >micrometer-core</ artifactId > < version >1.3.2</ version > </ dependency > < dependency > < groupId >io.micrometer</ groupId > < artifactId >micrometer-registry-influx</ artifactId > < version >1.3.2</ version > </ dependency > < dependency > < groupId >org.projectlombok</ groupId > < artifactId >lombok</ artifactId > < version >1.18.12</ version > < scope >provided</ scope > </ dependency > </ dependencies > </ project >

由于這是JDBC支持的依賴關系，因此我們將創建實體和存儲庫。

package com.gkatzioura.employee.model; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import javax.persistence.Table; import lombok.Data; @Data @Entity @Table (name = "employee" , schema= "spring_data_jpa_example" ) public class Employee { @Id @Column (name = "id" ) @GeneratedValue (strategy = GenerationType.IDENTITY) private Long id; @Column (name = "firstname" ) private String firstName; @Column (name = "lastname" ) private String lastname; @Column (name = "email" ) private String email; @Column (name = "age" ) private Integer age; @Column (name = "salary" ) private Integer salary; }

然后讓我們添加存儲庫

package com.gkatzioura.employee.repository; import com.gkatzioura.employee.model.Employee; import org.springframework.data.jpa.repository.JpaRepository; public interface EmployeeRepository extends JpaRepository<Employee,Long> { }

和控制器

package com.gkatzioura.employee.controller; import java.util.List; import com.gkatzioura.employee.model.Employee; import com.gkatzioura.employee.repository.EmployeeRepository; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; @RestController public class EmployeeController { private final EmployeeRepository employeeRepository; public EmployeeController(EmployeeRepository employeeRepository) { this .employeeRepository = employeeRepository; } @RequestMapping ( "/employee" ) public List<Employee> getEmployees() { return employeeRepository.findAll(); } }

最后但并非最不重要的Application類

package com.gkatzioura.employee; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class Application { public static void main(String[] args) { SpringApplication.run(Application. class , args); } }

以及配置

spring: datasource: platform: postgres driverClassName: org.postgresql.Driver username: db - user password: your - password url: jdbc:postgresql: / / 127.0 . 0.1 : 5432 / postgres management: metrics: export: influx: enabled: true db: employeeapi uri: http: / / 127.0 . 0.1 : 8086 endpoints: web: expose: "*"

試試看

curl http: //localhost :8080 /employee

經過一些請求后，我們可以找到保留的條目。

docker exec -it influxdb- local influx > SHOW DATABASES; name: databases name ---- _internal employeeapi > use employeeapi Using database employeeapi > SHOW MEASUREMENTS name: measurements name ---- hikaricp_connections hikaricp_connections_acquire hikaricp_connections_active hikaricp_connections_creation hikaricp_connections_idle hikaricp_connections_max hikaricp_connections_min hikaricp_connections_pending hikaricp_connections_timeout hikaricp_connections_usage http_server_requests jdbc_connections_active jdbc_connections_idle jdbc_connections_max jdbc_connections_min jvm_buffer_count jvm_buffer_memory_used jvm_buffer_total_capacity jvm_classes_loaded jvm_classes_unloaded jvm_gc_live_data_size jvm_gc_max_data_size jvm_gc_memory_allocated jvm_gc_memory_promoted jvm_gc_pause jvm_memory_committed jvm_memory_max jvm_memory_used jvm_threads_daemon jvm_threads_live jvm_threads_peak jvm_threads_states logback_events process_cpu_usage process_files_max process_files_open process_start_time process_uptime system_cpu_count system_cpu_usage system_load_average_1m tomcat_sessions_active_current tomcat_sessions_active_max tomcat_sessions_alive_max tomcat_sessions_created tomcat_sessions_expired tomcat_sessions_rejected

如您所見，指標與上一個示例有些不同。 我們有jdbc連接度量標準tomcat度量標準和與我們的應用程序相關的所有度量標準。 您可以在github上找到源代碼。

翻譯自: https://www.javacodegeeks.com/2020/03/spring-boot-and-micrometer-with-inlfuxdb-part-3-servlets-and-jdbc.html

micrometer

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