本篇文章给大家分享的是有关SpringCloud中如何进行日志收集Kafka-ELK，小编觉得挺实用的，因此分享给大家学习，希望大家阅读完这篇文章后可以有所收获，话不多说，跟着小编一起来看看吧。
微服务应用在容器化后，日志的查询就会变成困难的问题，虽说有portainer这类的容器管理工具，能够方便的查询每个容器中的日志，但容器到达一定数量后，尤其是应用有多个实例时候，查询就成了头疼的问题。所以我们采用了Kafka-Logstash-Elasticsearch-Kibana的方案来处理日志。
首先说说我的日志收集思路：
应用将日志传入kafka集群。在集群建立相应topic，并传入日志。
logstash在kafka上消费（读取）日志内容，写入elasticsearch。
kibana读elasticsearch，做对应的展示。
这样的好处，1）几乎不用做特别大的修改，只需做一定的配置工作即可完成日志收集；2）日志内容输入kafka几乎没有什么瓶颈，另外kafka的扩展性能很好，也很简单；3）收集的日志几乎是实时的；4）整体的扩展性很好，很容易消除瓶颈，例如elasticsearch分片、扩展都很容易。
在应用中，我们只需配置log4j的相应配置，将其日志输出到kafka即可。以下为配置示例，配置中包含将日志输入出命令行和kafka部分中。注意，在输出到kafka中，需要有一个appender类kafka.producer.KafkaLog4jAppender一般是没有的，则我在本地自己写上该类（KafkaLog4jAppender.java），并加入相应的文件路径。
log4j.rootLogger=INFO,console,kafka
# 输出到kafka
log4j.appender.kafka=com.yang.config.KafkaLog4jAppender
#kafka.producer.KafkaLog4jAppender
log4j.appender.kafka.topic=api-admin
log4j.appender.kafka.brokerList=192.0.0.2:9092,192.0.0.3:9092,192.0.0.4:9092 # 这里填写kafka的ip
log4j.appender.kafka.compressionType=none
log4j.appender.kafka.syncSend=true
log4j.appender.kafka.layout=org.apache.log4j.PatternLayout
log4j.appender.kafka.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L %% - %m%n
# 输出到Console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%npublic class KafkaLog4jAppender extends AppenderSkeleton {
private static final String BOOTSTRAP_SERVERS_CONFIG = ProducerConfig.BOOTSTRAP_SERVERS_CONFIG;
private static final String COMPRESSION_TYPE_CONFIG = ProducerConfig.COMPRESSION_TYPE_CONFIG;
private static final String ACKS_CONFIG = ProducerConfig.ACKS_CONFIG;
private static final String RETRIES_CONFIG = ProducerConfig.RETRIES_CONFIG;
private static final String KEY_SERIALIZER_CLASS_CONFIG = ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG;
private static final String VALUE_SERIALIZER_CLASS_CONFIG = ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG;
private static final String SECURITY_PROTOCOL = CommonClientConfigs.SECURITY_PROTOCOL_CONFIG;
private static final String SSL_TRUSTSTORE_LOCATION = SslConfigs.SSL_TRUSTSTORE_LOCATION_CONFIG;
private static final String SSL_TRUSTSTORE_PASSWORD = SslConfigs.SSL_TRUSTSTORE_PASSWORD_CONFIG;
private static final String SSL_KEYSTORE_TYPE = SslConfigs.SSL_KEYSTORE_TYPE_CONFIG;
private static final String SSL_KEYSTORE_LOCATION = SslConfigs.SSL_KEYSTORE_LOCATION_CONFIG;
private static final String SSL_KEYSTORE_PASSWORD = SslConfigs.SSL_KEYSTORE_PASSWORD_CONFIG;
private String brokerList = null;
private String topic = null;
private String compressionType = null;
private String securityProtocol = null;
private String sslTruststoreLocation = null;
private String sslTruststorePassword = null;
private String sslKeystoreType = null;
private String sslKeystoreLocation = null;
private String sslKeystorePassword = null;
private int retries = 0;
private int requiredNumAcks = Integer.MAX_VALUE;
private boolean syncSend = false;
private Producer<byte[], byte[]> producer = null;
public Producer<byte[], byte[]> getProducer() {
return producer;
}
public String getBrokerList() {
return brokerList;
}
public void setBrokerList(String brokerList) {
this.brokerList = brokerList;
}
public int getRequiredNumAcks() {
return requiredNumAcks;
}
public void setRequiredNumAcks(int requiredNumAcks) {
this.requiredNumAcks = requiredNumAcks;
}
public int getRetries() {
return retries;
}
public void setRetries(int retries) {
this.retries = retries;
}
public String getCompressionType() {
return compressionType;
}
public void setCompressionType(String compressionType) {
this.compressionType = compressionType;
}
public String getTopic() {
return topic;
}
public void setTopic(String topic) {
this.topic = topic;
}
public boolean getSyncSend() {
return syncSend;
}
public void setSyncSend(boolean syncSend) {
this.syncSend = syncSend;
}
public String getSslTruststorePassword() {
return sslTruststorePassword;
}
public String getSslTruststoreLocation() {
return sslTruststoreLocation;
}
public String getSecurityProtocol() {
return securityProtocol;
}
public void setSecurityProtocol(String securityProtocol) {
this.securityProtocol = securityProtocol;
}
public void setSslTruststoreLocation(String sslTruststoreLocation) {
this.sslTruststoreLocation = sslTruststoreLocation;
}
public void setSslTruststorePassword(String sslTruststorePassword) {
this.sslTruststorePassword = sslTruststorePassword;
}
public void setSslKeystorePassword(String sslKeystorePassword) {
this.sslKeystorePassword = sslKeystorePassword;
}
public void setSslKeystoreType(String sslKeystoreType) {
this.sslKeystoreType = sslKeystoreType;
}
public void setSslKeystoreLocation(String sslKeystoreLocation) {
this.sslKeystoreLocation = sslKeystoreLocation;
}
public String getSslKeystoreLocation() {
return sslKeystoreLocation;
}
public String getSslKeystoreType() {
return sslKeystoreType;
}
public String getSslKeystorePassword() {
return sslKeystorePassword;
}
@Override
public void activateOptions() {
// check for config parameter validity
Properties props = new Properties();
if (brokerList != null)
props.put(BOOTSTRAP_SERVERS_CONFIG, brokerList);
if (props.isEmpty())
throw new ConfigException("The bootstrap servers property should be specified");
if (topic == null)
throw new ConfigException("Topic must be specified by the Kafka log4j appender");
if (compressionType != null)
props.put(COMPRESSION_TYPE_CONFIG, compressionType);
if (requiredNumAcks != Integer.MAX_VALUE)
props.put(ACKS_CONFIG, Integer.toString(requiredNumAcks));
if (retries > 0)
props.put(RETRIES_CONFIG, retries);
if (securityProtocol != null && sslTruststoreLocation != null &&
sslTruststorePassword != null) {
props.put(SECURITY_PROTOCOL, securityProtocol);
props.put(SSL_TRUSTSTORE_LOCATION, sslTruststoreLocation);
props.put(SSL_TRUSTSTORE_PASSWORD, sslTruststorePassword);
if (sslKeystoreType != null && sslKeystoreLocation != null &&
sslKeystorePassword != null) {
props.put(SSL_KEYSTORE_TYPE, sslKeystoreType);
props.put(SSL_KEYSTORE_LOCATION, sslKeystoreLocation);
props.put(SSL_KEYSTORE_PASSWORD, sslKeystorePassword);
}
}
props.put(KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
props.put(VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.ByteArraySerializer");
this.producer = getKafkaProducer(props);
LogLog.debug("Kafka producer connected to " + brokerList);
LogLog.debug("Logging for topic: " + topic);
}
protected Producer<byte[], byte[]> getKafkaProducer(Properties props) {
return new KafkaProducer<byte[], byte[]>(props);
}
@Override
protected void append(LoggingEvent event) {
String message = subAppend(event);
LogLog.debug("[" + new Date(event.getTimeStamp()) + "]" + message);
Future<RecordMetadata> response = producer.send(new ProducerRecord<byte[], byte[]>(topic, message.getBytes()));
if (syncSend) {
try {
response.get();
} catch (InterruptedException ex) {
throw new RuntimeException(ex);
} catch (ExecutionException ex) {
throw new RuntimeException(ex);
}
}
}
private String subAppend(LoggingEvent event) {
return (this.layout == null) ? event.getRenderedMessage() : this.layout.format(event);
}
public void close() {
if (!this.closed) {
this.closed = true;
producer.close();
}
}
public boolean requiresLayout() {
return true;
}
}logstash可能会有快速启动实例的需求，我们就采用docker部署，能够快速启动、扩展等功能。
镜像就直接logstash官方镜像logstash docker镜像，我们选择了一种最简单启动方式做演示，具体还有多种docker部署方法，可以参考以上链接。
docker启动命令，input输入中，指定kafka集群地址和对应topic；输出，则是elasticsearch集群地址、索引，以及elastisearch配置参数。
#启动命令
docker run -it -d logstash -e 'input { kafka {
bootstrap_servers => "kafkaIp1:9092,kafkaIp2:9092"
topics => ["api-admin"] } }
output { elasticsearch {
hosts => ["elasticsearch2:9200","elasticsearch3:9200","elasticsearch4:9200"]
index => "api-admin-%{+YYYY.MM.dd}"
flush_size => 20000
idle_flush_time => 10
template_overwrite => true
} }'在marathon中启动在Command选项中加入参数logstash -e 'input {} output {}'即可。另外说一句， 如果在容器编排系统（mesos/marathon、kubernetes）中，可能会有健康检查要求，其端口为9600。
以上就是SpringCloud中如何进行日志收集Kafka-ELK，小编相信有部分知识点可能是我们日常工作会见到或用到的。希望你能通过这篇文章学到更多知识。更多详情敬请关注亿速云行业资讯频道。
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