聊聊lettuce的指标监控

codecraft

本文主要研究一下lettuce的指标监控

DefaultCommandLatencyEventPublisher

lettuce-core-5.0.4.RELEASE-sources.jar!/io/lettuce/core/event/metrics/DefaultCommandLatencyEventPublisher.java

public class DefaultCommandLatencyEventPublisher implements MetricEventPublisher {

    private final EventExecutorGroup eventExecutorGroup;
    private final EventPublisherOptions options;
    private final EventBus eventBus;
    private final CommandLatencyCollector commandLatencyCollector;

    private final Runnable EMITTER = this::emitMetricsEvent;

    private volatile ScheduledFuture<?> scheduledFuture;

    public DefaultCommandLatencyEventPublisher(EventExecutorGroup eventExecutorGroup, EventPublisherOptions options,
            EventBus eventBus, CommandLatencyCollector commandLatencyCollector) {

        this.eventExecutorGroup = eventExecutorGroup;
        this.options = options;
        this.eventBus = eventBus;
        this.commandLatencyCollector = commandLatencyCollector;

        if (!options.eventEmitInterval().isZero()) {
            scheduledFuture = this.eventExecutorGroup.scheduleAtFixedRate(EMITTER, options.eventEmitInterval().toMillis(),
                    options.eventEmitInterval().toMillis(), TimeUnit.MILLISECONDS);
        }
    }

    @Override
    public boolean isEnabled() {
        return !options.eventEmitInterval().isZero() && scheduledFuture != null;
    }

    @Override
    public void shutdown() {

        if (scheduledFuture != null) {
            scheduledFuture.cancel(true);
            scheduledFuture = null;
        }
    }

    @Override
    public void emitMetricsEvent() {

        if (!isEnabled() || !commandLatencyCollector.isEnabled()) {
            return;
        }

        eventBus.publish(new CommandLatencyEvent(commandLatencyCollector.retrieveMetrics()));
    }

}
  • 这里判断如果EventPublisherOptions的eventEmitInterval不为0的话,则开启调度定时调用emitMetricsEvent发布命令延时事件

LettuceConnectionConfiguration

spring-boot-autoconfigure-2.0.4.RELEASE-sources.jar!/org/springframework/boot/autoconfigure/data/redis/LettuceConnectionConfiguration.java

@Configuration
@ConditionalOnClass(RedisClient.class)
class LettuceConnectionConfiguration extends RedisConnectionConfiguration {

    private final RedisProperties properties;

    private final List<LettuceClientConfigurationBuilderCustomizer> builderCustomizers;

    LettuceConnectionConfiguration(RedisProperties properties,
            ObjectProvider<RedisSentinelConfiguration> sentinelConfigurationProvider,
            ObjectProvider<RedisClusterConfiguration> clusterConfigurationProvider,
            ObjectProvider<List<LettuceClientConfigurationBuilderCustomizer>> builderCustomizers) {
        super(properties, sentinelConfigurationProvider, clusterConfigurationProvider);
        this.properties = properties;
        this.builderCustomizers = builderCustomizers
                .getIfAvailable(Collections::emptyList);
    }

    @Bean(destroyMethod = "shutdown")
    @ConditionalOnMissingBean(ClientResources.class)
    public DefaultClientResources lettuceClientResources() {
        return DefaultClientResources.create();
    }

    //......
}
  • LettuceConnectionConfiguration使用默认配置创建了DefaultClientResources

DefaultEventPublisherOptions

lettuce-core-5.0.4.RELEASE-sources.jar!/io/lettuce/core/event/DefaultEventPublisherOptions.java

public class DefaultEventPublisherOptions implements EventPublisherOptions {

    public static final long DEFAULT_EMIT_INTERVAL = 10;
    public static final TimeUnit DEFAULT_EMIT_INTERVAL_UNIT = TimeUnit.MINUTES;
    public static final Duration DEFAULT_EMIT_INTERVAL_DURATION = Duration.ofMinutes(DEFAULT_EMIT_INTERVAL);

    //......
}
  • 这里DEFAULT_EMIT_INTERVAL_DURATION默认为10分钟

CommandLatencyCollector

lettuce-core-5.0.4.RELEASE-sources.jar!/io/lettuce/core/metrics/CommandLatencyCollector.java

public interface CommandLatencyCollector extends MetricCollector<Map<CommandLatencyId, CommandMetrics>> {

    /**
     * Record the command latency per {@code connectionPoint} and {@code commandType}.
     *
     * @param local the local address
     * @param remote the remote address
     * @param commandType the command type
     * @param firstResponseLatency latency value in {@link TimeUnit#NANOSECONDS} from send to the first response
     * @param completionLatency latency value in {@link TimeUnit#NANOSECONDS} from send to the command completion
     */
    void recordCommandLatency(SocketAddress local, SocketAddress remote, ProtocolKeyword commandType,
            long firstResponseLatency, long completionLatency);

}
  • DefaultCommandLatencyEventPublisher主要是依靠CommandLatencyCollector来获取指标的,而其指标的采集则依靠recordCommandLatency方法来记录

CommandHandler

lettuce-core-5.0.4.RELEASE-sources.jar!/io/lettuce/core/protocol/CommandHandler.java

/**
 * A netty {@link ChannelHandler} responsible for writing redis commands and reading responses from the server.
 *
 * @author Will Glozer
 * @author Mark Paluch
 * @author Jongyeol Choi
 * @author Grzegorz Szpak
 */
public class CommandHandler extends ChannelDuplexHandler implements HasQueuedCommands {
    //......
   /**
     * @see io.netty.channel.ChannelInboundHandlerAdapter#channelRead(io.netty.channel.ChannelHandlerContext, java.lang.Object)
     */
    @Override
    public void channelRead(ChannelHandlerContext ctx, Object msg) throws Exception {

        ByteBuf input = (ByteBuf) msg;

        if (!input.isReadable() || input.refCnt() == 0) {
            logger.warn("{} Input not readable {}, {}", logPrefix(), input.isReadable(), input.refCnt());
            return;
        }

        if (debugEnabled) {
            logger.debug("{} Received: {} bytes, {} commands in the stack", logPrefix(), input.readableBytes(), stack.size());
        }

        try {
            if (buffer.refCnt() < 1) {
                logger.warn("{} Ignoring received data for closed or abandoned connection", logPrefix());
                return;
            }

            if (debugEnabled && ctx.channel() != channel) {
                logger.debug("{} Ignoring data for a non-registered channel {}", logPrefix(), ctx.channel());
                return;
            }

            if (traceEnabled) {
                logger.trace("{} Buffer: {}", logPrefix(), input.toString(Charset.defaultCharset()).trim());
            }

            buffer.writeBytes(input);

            decode(ctx, buffer);
        } finally {
            input.release();
        }
    }

    private boolean decode(ChannelHandlerContext ctx, ByteBuf buffer, RedisCommand<?, ?, ?> command) {

        if (latencyMetricsEnabled && command instanceof WithLatency) {

            WithLatency withLatency = (WithLatency) command;
            if (withLatency.getFirstResponse() == -1) {
                withLatency.firstResponse(nanoTime());
            }

            if (!decode0(ctx, buffer, command)) {
                return false;
            }

            recordLatency(withLatency, command.getType());

            return true;
        }

        return decode0(ctx, buffer, command);
    }

    private void recordLatency(WithLatency withLatency, ProtocolKeyword commandType) {

        if (withLatency != null && clientResources.commandLatencyCollector().isEnabled() && channel != null && remote() != null) {

            long firstResponseLatency = withLatency.getFirstResponse() - withLatency.getSent();
            long completionLatency = nanoTime() - withLatency.getSent();

            clientResources.commandLatencyCollector().recordCommandLatency(local(), remote(), commandType,
                    firstResponseLatency, completionLatency);
        }
    }
}
  • 这里channelRead会调用decode方法,而decode方法最后调用clientResources.commandLatencyCollector().recordCommandLatency记录命令的延时

消费事件实例

public class LettuceEventConsumer {

    private static final Logger LOGGER = LoggerFactory.getLogger(LettuceEventConsumer.class);

    EventBus eventBus;

    public LettuceEventConsumer(EventBus eventBus) {
        this.eventBus = eventBus;
    }

    @PostConstruct
    public void init(){
        eventBus.get().subscribe(e -> {
            LOGGER.info("event:{}",e);
        });
    }
}
  • 这里我们通过eventBus获取到Flux<Event>,然后进行消费,输出实例如下:
2018-09-11 16:32:57.361  INFO 6656 --- [xecutorLoop-1-3] com.example.config.LettuceEventConsumer  : event:{[local:any -> /192.168.99.100:6379, commandType=GET]=[count=1, timeUnit=MICROSECONDS, firstResponse=[min=884, max=888, percentiles={50.0=888, 90.0=888, 95.0=888, 99.0=888, 99.9=888}], completion=[min=950, max=954, percentiles={50.0=954, 90.0=954, 95.0=954, 99.0=954, 99.9=954}]], [local:any -> /192.168.99.100:6379, commandType=INFO]=[count=1, timeUnit=MICROSECONDS, firstResponse=[min=1449, max=1458, percentiles={50.0=1458, 90.0=1458, 95.0=1458, 99.0=1458, 99.9=1458}], completion=[min=2457, max=2473, percentiles={50.0=2473, 90.0=2473, 95.0=2473, 99.0=2473, 99.9=2473}]], [local:any -> /192.168.99.100:6379, commandType=PUBLISH]=[count=40, timeUnit=MICROSECONDS, firstResponse=[min=708, max=17956, percentiles={50.0=1343, 90.0=2719, 95.0=3948, 99.0=17956, 99.9=17956}], completion=[min=733, max=17956, percentiles={50.0=1376, 90.0=2752, 95.0=3981, 99.0=17956, 99.9=17956}]], [local:any -> /192.168.99.100:6379, commandType=SET]=[count=1, timeUnit=MICROSECONDS, firstResponse=[min=909, max=913, percentiles={50.0=913, 90.0=913, 95.0=913, 99.0=913, 99.9=913}], completion=[min=995, max=999, percentiles={50.0=999, 90.0=999, 95.0=999, 99.0=999, 99.9=999}]], [local:any -> /192.168.99.100:6379, commandType=SUBSCRIBE]=[count=1, timeUnit=MICROSECONDS, firstResponse=[min=19267, max=19398, percentiles={50.0=19398, 90.0=19398, 95.0=19398, 99.0=19398, 99.9=19398}], completion=[min=41418, max=41680, percentiles={50.0=41680, 90.0=41680, 95.0=41680, 99.0=41680, 99.9=41680}]]}

小结

lettuce通过内置eventBus,然后对其命令的执行发布相应的延时事件,client端可以根据需求消费eventBus的数据来获取lettuce的相关指标。可以说在指标监控场景,采用事件驱动的方式进行实现,显得更为灵活,把Event-Driven Architecture的思想发挥的淋漓尽致。

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