ento-logback-kafka.1.2.2-RELEASE.source-code.soento-logback-kafka.xml Maven / Gradle / Ivy
<?xml version="1.0" encoding="UTF-8"?>
<included>
<appender name="KAFKA" class="com.soento.logback.kafka.KafkaAppender">
<encoder class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
<providers>
<timestamp>
<timeZone>Asia/Shanghai</timeZone>
</timestamp>
<pattern>
<pattern>
{
"service_name": "${KAFKA_APP_NAME}",
"timestamp": "%d{yyyy-MM-dd HH:mm:ss.SSS}",
"thread": "%thread",
"log_level": "%-5level",
"class_name": "%logger{50}",
"line_number": "%line",
"message": "%message%n",
"stack_trace": "%exception"
}
</pattern>
</pattern>
</providers>
</encoder>
<topic>${KAFKA_TOPIC}</topic>
<!-- we don't care how the log messages will be partitioned -->
<keyingStrategy class="com.soento.logback.kafka.keying.NoKeyKeyingStrategy"/>
<!-- use async delivery. the application threads are not blocked by logging -->
<deliveryStrategy class="com.soento.logback.kafka.delivery.AsynchronousDeliveryStrategy"/>
<!-- each <producerConfig> translates to regular kafka-client config (format: key=value) -->
<!-- producer configs are documented here: https://kafka.apache.org/documentation.html#newproducerconfigs -->
<!-- bootstrap.servers is the only mandatory producerConfig -->
<producerConfig>bootstrap.servers=${KAFKA_SERVERS}</producerConfig>
<!-- don't wait for a broker to ack the reception of a batch. -->
<producerConfig>acks=0</producerConfig>
<!-- wait up to 1000ms and collect log messages before sending them as a batch -->
<producerConfig>linger.ms=1000</producerConfig>
<!-- even if the producer buffer runs full, do not block the application but start to drop messages -->
<producerConfig>max.block.ms=0</producerConfig>
<!-- define a client-id that you use to identify yourself against the kafka broker -->
<producerConfig>client.id=${HOSTNAME}-${CONTEXT_NAME}-logback-relaxed</producerConfig>
<!-- there is no fallback <appender-ref>. If this appender cannot deliver, it will drop its messages. -->
</appender>
</included>