在大数据整个处理流程过程中，数据的流向是一个很重要的问题，本篇博客主要记录数据是怎么从http发送到kafka的。
使用技术点：
1. java的Vert.x框架
(关于java框架Vert.x的使用示例请移步：http://www.programcreek.com/java-api-examples/index.php?api=io.vertx.core.Vertx)
2. KafkaProducer 的使用
(使用示例移步：http://www.programcreek.com/java-api-examples/index.php?api=org.apache.kafka.clients.producer.KafkaProducer)
在导数据的过程中需要实现的功能：
1. 解析路径，将路径的最后一个字符串作为appkey；
2. 数据缓存，当kafka无法正常访问时在本地cache目录缓存数据；
3. 安全验证，对请求的appkey进行合法性验证；
4. 自动更新appkey列表，每间隔一段时间获取一次最新的appkey列表；
5. 增加ip字段，给每份数据增加ip字段；
6. 记录日志，记录基本的统计信息日志，及异常错误信息。
框架结构图如下所示：
数据整体计算图如下所示：
计算流程图如下所示:
在IDEA中的代码结构为：
主要代码如下：
package com.donews.data;
import com.typesafe.config.Config;
import com.typesafe.config.ConfigFactory;
/**
* Created by reynold on 16-6-23.
*
*/
public class Configuration {
public static final Config conf= ConfigFactory.load();
}
Counter.java
package com.donews.data;
import io.vertx.core.Vertx;
import io.vertx.core.logging.Logger;
import io.vertx.core.logging.LoggerFactory;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;
/**
* Created by reynold on 16-6-22.
*
*/
public class Counter {
private Logger LOG = LoggerFactory.getLogger(Counter.class);
AtomicLong messages = new AtomicLong(0L);
AtomicLong bytes = new AtomicLong(0L);
private long start = System.currentTimeMillis();
private void reset() {
messages.set(0L);
bytes.set(0L);
start = System.currentTimeMillis();
}
public void start(Vertx vertx) {
LOG.info("start Counter");
long delay = Configuration.conf.getDuration("server.counter.delay", TimeUnit.MILLISECONDS);
vertx.setPeriodic(delay, h -> {
long time = System.currentTimeMillis() - start;
double rps = messages.get() * 1000.0 / time;
double mbps = (bytes.get() * 1000.0 / 1024.0 / 1024.0) / time;
Runtime runtime = Runtime.getRuntime();
double totalMem = runtime.totalMemory() * 1.0 / 1024 / 1024;
double maxMem = runtime.maxMemory() * 1.0 / 1024 / 1024;
double freeMem = runtime.freeMemory() * 1.0 / 1024 / 1024;
LOG.info("{0}:Message/S, {1}:MBytes/S", rps, mbps);
LOG.info("totalMem:{0}MB maxMem:{1}MB freeMem:{2}MB", totalMem, maxMem, freeMem);
reset();
});
}
}
KafkaHttpServer.java
package com.donews.data;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import io.vertx.core.Vertx;
import io.vertx.core.http.HttpServer;
import io.vertx.core.http.HttpServerResponse;
import io.vertx.core.json.JsonArray;
import io.vertx.core.json.JsonObject;
import io.vertx.core.logging.Logger;
import io.vertx.core.logging.LoggerFactory;
import io.vertx.ext.web.Router;
import io.vertx.ext.web.RoutingContext;
import io.vertx.ext.web.handler.BodyHandler;
import java.io.*;
import java.sql.*;
import java.time.Instant;
import java.util.HashSet;
import java.util.Set;
import java.util.Timer;
import java.util.TimerTask;
import java.util.concurrent.atomic.AtomicInteger;
/**
* Created by reynold on 16-6-22.
*
*/
public class KafkaHttpServer {
private static final Logger LOG = LoggerFactory.getLogger(KafkaHttpServer.class);
private final Counter statistic = new Counter();
private static final String DBDRIVER = "com.mysql.jdbc.Driver";
private static final String URL = Configuration.conf.getString("mysql.url");
private static final String USER = Configuration.conf.getString("mysql.user");
private static final String PASSWORD = Configuration.conf.getString("mysql.password");
private static HashSet<String> appkeys = new HashSet<>();
private static boolean deleteFile = true;
private void error(HttpServerResponse response, String message) {
response.setStatusCode(500).end(new JsonObject()
.put("code", 3)
.put("msg", message)
.encode());
}
private void ok(HttpServerResponse response, String message) {
response.putHeader("Access-Control-Allow-Origin", "*");
response.setStatusCode(200).end(new JsonObject()
.put("code", 0)
.put("msg", message)
.encode());
}
private void startService(int port) {
KafkaProducerWrapper sender = new KafkaProducerWrapper();
Vertx vertx = Vertx.vertx();
HttpServer server = vertx.createHttpServer();
Router router = Router.router(vertx);
router.route().handler(BodyHandler.create());
router.route("/mininfo/logs").handler(ctx -> {
try {
JsonArray array = ctx.getBodyAsJsonArray();
String[] messages = new String[array.size()];
for (int i = 0; i < array.size(); i++) {
JsonObject message = array.getJsonObject(i);
message.put("ip", ctx.request().remoteAddress().host());
if (!message.containsKey("timestamp")) {
message.put("timestamp", Instant.now().toString());
}
messages[i] = array.getJsonObject(i).encode();
}
sendMessages(sender, ctx, "appstatistic_production", messages);
} catch (Exception e) {
error(ctx.response(), e.getMessage());
}
});
router.routeWithRegex("/mininfo/v1/logs/[^/]+").handler(routingContext -> {
String path = routingContext.request().path();
String topic = path.substring(path.lastIndexOf("/") + 1);
LOG.info("现在处理的topic(appkey)为：" + topic);
if (appkeys.contains(topic)) {
LOG.info("经过验证，该topic(appkey)有效");
String[] messages = routingContext.getBodyAsString().split("\n");
//用于执行阻塞任务(有序执行和无序执行)，默认顺序执行提交的阻塞任务
vertx.executeBlocking(future -> {
sendMessages(sender, routingContext, topic, messages);
future.complete();
}, result -> {
});
} else {
LOG.info("您的topic(appkey)还没有配置，请在mysql中配置先");
error(routingContext.response(), "please configurate " + topic + "(appkey) in Mysql first! After 10mins it`ll take action");
}
});
router.route("/mininfo/v1/ip").handler(ctx -> {
LOG.info("x-real-for" + ctx.request().getHeader("x-real-for"));
LOG.info("x-forwarded-for" + ctx.request().getHeader("x-forwarded-for"));
ok(ctx.response(), ctx.request().getHeader("x-forwarded-for"));
});
router.route("/*").handler(ctx -> error(ctx.response(), "wrong! check your path..."));
server.requestHandler(router::accept).listen(port, result -> {
if (result.succeeded()) {
LOG.info("listen on port:{0}", String.valueOf(port));
this.statistic.start(vertx);
} else {
LOG.error(result.cause());
vertx.close();
}
});
//如果你需要在你的程序关闭前采取什么措施，那么关闭钩子（shutdown hook）是很有用的，类似finally
Runtime.getRuntime().addShutdownHook(new Thread(sender::close));
}
private void sendMessages(KafkaProducerWrapper sender, RoutingContext ctx, String topic, String[] messages) {
AtomicInteger counter = new AtomicInteger(0);
for (String message : messages) {
if (message == null || "".equals(message)) {
ok(ctx.response(), "Success");
continue;
}
//将ip增加到数据的ip字段
JSONObject jsonObject = JSON.parseObject(message);
if (jsonObject.get("ip") == null) {
LOG.info("正在增加ip字段");
String ip;
String header = ctx.request().getHeader("x-forwarded-for");
if (!(header == null || header.trim().length() == 0 || header.trim().equals("null"))) {
ip = header.split(",")[0];
} else {
ip = ctx.request().remoteAddress().host();
}
jsonObject.put("ip", ip);
LOG.info("ip增加成功");
}
//topic, message, callback，以匿名函数的形式实现接口中的onCompletion函数
sender.send(topic, jsonObject.toString(), (metadata, exception) -> {
if (exception != null) {
LOG.warn(exception);
String msg = new JsonObject()
.put("error", exception.getMessage())
.put("commit", counter.get())
.encode();
error(ctx.response(), msg);
cacheLocal(jsonObject.toString(), "/home/yuhui/httpkafka/data_bak/" + topic + ".txt");
LOG.info("连接kafka失败，写入cache缓存目录以备份数据");
} else {
statistic.messages.incrementAndGet(); // Counter
statistic.bytes.addAndGet(message.length());
if (counter.incrementAndGet() == messages.length) {
ok(ctx.response(), "Success");
}
}
});
}
}
/**
* 将发送到kafka失败的消息缓存到本地
*
* @param message message
* @param cachePath cachePath
*/
private void cacheLocal(String message, String cachePath) {
try {
FileWriter fileWriter = new FileWriter(cachePath, true);
BufferedWriter bw = new BufferedWriter(fileWriter);
bw.write(message);
bw.newLine();
bw.flush();
bw.close();
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 发送缓存数据到kafka，发送成功，删除缓存数据，失败过10分钟重试
*
* @param path 保存缓存数据的[目录]
*/
private static void sendToKafka(String path) {
String message;
KafkaProducerWrapper sender = new KafkaProducerWrapper();
File file = new File(path);
if (file.isDirectory()) {
String[] fileList = file.list();
if (fileList != null && fileList.length != 0) {
LOG.info("正在将缓存目录中的备份数据发送到kafka中...");
for (String str : fileList) {
String topic = str.split("\\.")[0];
try {
BufferedReader reader = new BufferedReader(new FileReader(path + str));
while ((message = reader.readLine()) != null) {
sender.send(topic, message, (metadata, exception) -> {
if (metadata != null) {
LOG.info("缓存的备份数据正在一条一条的插入kafka中");
} else {
//程序错误重新运行
// exception.printStackTrace();
LOG.error("kafka连接异常为：===> 10分钟后会自动重试，" + exception.getMessage(), exception);
deleteFile = false;
}
});
}
if (deleteFile) {
LOG.info("开始删除已经插入到kafka中的缓存备份数据");
deleteFile(path, topic);
LOG.info("删除完毕！");
}
reader.close();
} catch (IOException e) {
e.printStackTrace();
}
}
} else {
LOG.info("缓存目录中没有备份文件");
}
}
}
private static void deleteFile(String path, String appkey) {
String appkeyPath = path + "/" + appkey + ".txt";
File file = new File(appkeyPath);
file.delete();
LOG.info("成功删除appkey为" + appkey + "的缓存数据");
}
private static Set<String> getAppkeys() {
Set<String> appkeys = new HashSet<>();
String sql = "select appkey from config_table";
try {
Class.forName(DBDRIVER);
Connection conn = DriverManager.getConnection(URL, USER, PASSWORD);
PreparedStatement ps = conn.prepareStatement(sql);
ResultSet rs = ps.executeQuery();
while (rs.next()) {
appkeys.add(rs.getString(1));
}
rs.close();
conn.close();
} catch (ClassNotFoundException | SQLException e) {
e.printStackTrace();
}
return appkeys;
}
public static void main(String[] args) throws Exception {
Timer timer = new Timer();
timer.schedule(new TimerTask() {
@Override
public void run() {
appkeys.addAll(getAppkeys());
LOG.info("同步完数据库中的appkey(每隔十分钟)");
sendToKafka("/home/leixingzhi7/httpkafka/data_bak/");
// sendToKafka("C:\\Dell\\UpdatePackage\\log");
}
}, 0L, 10 * 60 * 1000L);
try {
int port = Configuration.conf.getInt("server.port");
KafkaHttpServer front = new KafkaHttpServer();
front.startService(port);
} catch (Exception e) {
e.printStackTrace();
}
}
}
KafkaProducerWrapper.java
package com.donews.data;
import com.typesafe.config.Config;
import io.vertx.core.logging.Logger;
import io.vertx.core.logging.LoggerFactory;
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.Properties;
/**
* Created by reynold on 16-6-22.
*
*/
public class KafkaProducerWrapper {
private Logger LOG = LoggerFactory.getLogger(KafkaProducerWrapper.class);
private KafkaProducer<String, String> producer = init();
private KafkaProducer<String, String> init() {
Config conf = Configuration.conf.getConfig("kafka");
Properties props = new Properties();
props.put("bootstrap.servers", conf.getString("bootstrap.servers"));
props.put("acks", conf.getString("acks"));
props.put("retries", conf.getInt("retries"));
props.put("batch.size", conf.getInt("batch.size"));
props.put("linger.ms", conf.getInt("linger.ms"));
props.put("buffer.memory", conf.getLong("buffer.memory"));
props.put("key.serializer", conf.getString("key.serializer"));
props.put("value.serializer", conf.getString("value.serializer"));
LOG.info("KafkaProducer Properties: {0}", props.toString());
return new KafkaProducer<>(props);
}
public void send(String topic, String message, Callback callback) {
producer.send(new ProducerRecord<>(topic, message), callback);
}
public void close() {
producer.close();
LOG.info("Kafka Producer Closed");
}
public static void main(String[] args) {
//KafkaProducerWrapper sender=new KafkaProducerWrapper();
//sender.producer.partitionsFor("xxxxx").forEach(System.out::println);
}
}
application.conf
server {
port = 20000
counter.delay = 30s
}
kafka {
bootstrap.servers = "XXX"
acks = all
retries = 1
batch.size = 1048576
linger.ms = 1
buffer.memory = 33554432
key.serializer = "org.apache.kafka.common.serialization.StringSerializer"
value.serializer = "org.apache.kafka.common.serialization.StringSerializer"
}
mysql {
url = "jdbc:mysql://XXX/user_privileges"
user = "XXX"
password = "XXX"
}
pom.xml
<?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>
<groupId>com.donews.data</groupId>
<artifactId>kafkahttp</artifactId>
<version>1.0-SNAPSHOT</version>
<dependencies>
<!-- https://mvnrepository.com/artifact/com.typesafe/config -->
<dependency>
<groupId>com.typesafe</groupId>
<artifactId>config</artifactId>
<version>1.3.0</version>
</dependency>
<dependency>
<groupId>io.vertx</groupId>
<artifactId>vertx-web</artifactId>
<version>3.2.1</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.9.0.1</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.38</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.11</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.5.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.4</version>
<configuration>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<!-- put your configurations here -->
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>com.donews.data.KafkaHttpServer</mainClass>
</transformer>
</transformers>
<outputFile>${project.build.directory}/${project.artifactId}-fat.jar</outputFile>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>