red*_*guy 5 apache-kafka apache-kafka-streams
我有两个流:
[topicA] -> processingA -> [topicB] -> processingB -> [topicC]
通过登录我的应用程序,我注意到在将输出从 processingA 发送到 topicB 和从 topicB 为 processingB 挑选消息之间,每次需要超过 100 毫秒(而不是 150 毫秒)。它可能不多,但它会累积,最后相当简单的级联处理几乎需要秒。
我可以调整 kafka 以使这些延迟尽可能接近零吗?哪些配置参数对这些延迟有影响?
我主要是默认配置。是 commit.interval.ms 导致延迟吗?我已经将它从更高的默认值更改了...
StreamsConfig values:
application.id = app
application.server =
bootstrap.servers = [localhost:9092]
buffered.records.per.partition = 1000
cache.max.bytes.buffering = 10485760
client.id =
commit.interval.ms = 100
connections.max.idle.ms = 540000
default.deserialization.exception.handler = class org.apache.kafka.streams.errors.LogAndContinueExceptionHandler
default.key.serde = class org.apache.kafka.common.serialization.Serdes$StringSerde
default.production.exception.handler = class org.apache.kafka.streams.errors.DefaultProductionExceptionHandler
default.timestamp.extractor = class org.apache.kafka.streams.processor.FailOnInvalidTimestamp
default.value.serde = class org.apache.kafka.common.serialization.Serdes$StringSerde
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
num.standby.replicas = 0
num.stream.threads = 1
partition.grouper = class org.apache.kafka.streams.processor.DefaultPartitionGrouper
poll.ms = 100
processing.guarantee = exactly_once
receive.buffer.bytes = 32768
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
replication.factor = 1
request.timeout.ms = 40000
retries = 0
retry.backoff.ms = 100
rocksdb.config.setter = null
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
state.cleanup.delay.ms = 600000
state.dir = /tmp/kafka-streams
topology.optimization = none
upgrade.from = null
windowstore.changelog.additional.retention.ms = 86400000
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在您的情况下,100 到 150 毫秒似乎很正常,因为您设置了 commit.interval.ms = 100 (这也是processing.guarantee = just_once 的默认值)。恰好一次,processingB 将仅读取已在 [topicB] 中提交的消息,而processingA 将仅在(至少)100 毫秒后提交。
在不重新架构系统的情况下,您可以调整 commit.interval.ms 以获得更好的延迟,但如果降低该值,吞吐量也会降低。
请参阅 这篇文章(Streams Performance Implications),其中描述了这种权衡。
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