kafka-producer.properties

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# see org.apache.kafka.clients.producer.ProducerConfig for more details

############################# Producer Basics #############################

# list of brokers used for bootstrapping knowledge about the rest of the cluster
# format: host1:port1,host2:port2 ...
#bootstrap.servers=localhost:9092

# specify the compression codec for all data generated: none, gzip, snappy, lz4, zstd
#compression.type=none

# name of the partitioner class for partitioning events; default partition spreads data randomly
#partitioner.class=

# the maximum amount of time the client will wait for the response of a request
#request.timeout.ms=

# how long `KafkaProducer.send` and `KafkaProducer.partitionsFor` will block for
#max.block.ms=

# the producer will wait for up to the given delay to allow other records to be sent so that the sends can be batched together
#linger.ms=

# the maximum size of a request in bytes
#max.request.size=

# the default batch size in bytes when batching multiple records sent to a partition
#batch.size=

# the total bytes of memory the producer can use to buffer records waiting to be sent to the server
#buffer.memory=

#指定kafka节点列表，用于获取metadata，没必要所有指定
metadata.broker.list=192.168.142.145:9092,192.168.142.146:9092,192.168.142.147:9092

#指定分区处理类。默认kafka.producer.DefaultPartitioner，表示经过key哈希到对应分区
#partitioner.class=kafka.producer.DefaultPartitioner

#是否压缩，默认0表示不压缩，1表示gzip压缩，2表示snappy压缩，压缩后消息中会有头来指明消息压缩类型，故在消费者端消息解压是透明的无需指定。
compression.codec=none

#指定序列化处理类
serializer.class=kafka.serializer.DefaultEncoder

#若是要压缩消息，这里指定那些topic要压缩消息，默认empty，表示不压缩。
#compressed.topics=

#设置发送数据是否须要服务端的反馈,有三个值0,1,-1
#0:producer不会等待broker发送ack
#1:当leader接收到消息以后发送ack
#-1:当全部的follower都同步消息成功后发送ack
request.required.acks=0

#在向producer发送ack以前，broker容许等待的最大时间，若是超时，broker将会向producer发送一个error ack，意味着上一次消息由于某种缘由未能成功（好比followers未能同步成功）
request.timeout.ms=10000

#同步仍是异步发送消息，默认"sync"表同步，"async"表异步，异步能够提升发送吞吐量，也意味着消息将会在本地buffer中，并适时批量发送，可是也可能致使丢失未发送过去的消息
producer.type=sync

#在async模式下，当message被缓存的时间超过此值后，将会批量发送给broker，默认为5000ms
#此值和batch.num.messages协同工做
queue.buffering.max.ms=5000

#在async模式下，producer端容许buffer的最大消息量
#不管如何，producer都没法尽快的将消息发送给broker，从而致使在producer端大量沉积
#此时，若是消息的条数达到阀值，将会致使producer端阻塞或者消息被抛弃，默认为10000
queue.buffering.max.messages=20000

#若是是异步，指定每次批量发送数据量，默认为200
batch.num.messages=500

#当消息在producer端沉积的条数达到"queue.buffering.max.messages"后
#阻塞必定时间后，队列任然没有enqueue(producer任然没有发送任何消息)
#此时producer能够继续阻塞或者将消息抛弃，此timeout值用于控制"阻塞"的时间
#-1:无阻塞超时限制，消息不会被抛弃
#0:当即清空队列，消息被抛弃
queue.enqueue.timeout.ms=-1