kafka_neu-1778570057504.zip-extract/kafka-4.2.0-src/config/producer.properties

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producer.properties | 5.5 KB |

# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # See org.apache.kafka.clients.producer.ProducerConfig for more details. # Consider using environment variables or external configuration management # for sensitive information like passwords and environment-specific settings. ##################### Producer Basics ##################### # List of Kafka brokers used for initial cluster discovery and metadata retrieval. # Format: host1:port1,host2:port2,host3:port3 # Include all brokers for high availability. bootstrap.servers=localhost:9092 # Client identifier for logging and metrics. # Helps with debugging and monitoring. client.id=test-producer ##################### Transaction Support ##################### # Transactional ID for the producer. # Must be unique across all producer instances. # Enables exactly-once semantics across multiple partitions/topics. #transactional.id=test-transactional-id # Maximum amount of time in milliseconds that a transaction will remain open. # Only applies when transactional.id is set. transaction.timeout.ms=60000 ##################### Partitioning ##################### # Name of the partitioner class for partitioning records. # Default uses "sticky" partitioning which improves throughput by filling batches # Options: DefaultPartitioner, RoundRobinPartitioner, UniformStickyPartitioner. #partitioner.class=org.apache.kafka.clients.producer.RoundRobinPartitioner ##################### Serialization ##################### # Serializer class for message keys. # Common options: StringSerializer, ByteArraySerializer, AvroSerializer. key.serializer=org.apache.kafka.common.serialization.StringSerializer # Serializer class for message values. value.serializer=org.apache.kafka.common.serialization.StringSerializer ##################### Reliability And Durability ##################### # Number of acknowledgments the producer requires the leader to have received. # Options: 0 (no ack), 1 (leader only), all/-1 (all in-sync replicas). # Use 'all' for maximum durability. acks=all # Number of retries for failed sends. # Set to high value or Integer.MAX_VALUE for maximum reliability. retries=2147483647 # Initial and max time to wait for failed request retries. # The retry.backoff.ms is the initial backoff value and will increase exponentially # for each failed request, up to the retry.backoff.max.ms value. retry.backoff.ms=100 retry.backoff.max.ms=1000 # Enable idempotent producer to prevent duplicate messages. # Ensures exactly-once delivery semantics when combined with proper consumer settings. enable.idempotence=true # Maximum number of unacknowledged requests the client will send on a single connection. # Must be <= 5 when enable.idempotence=true to maintain ordering guarantees. max.in.flight.requests.per.connection=5 ##################### Timeouts And Blocking ##################### # Maximum amount of time the client will wait for the response of a request. # Should be higher than replica.lag.time.max.ms (broker config). request.timeout.ms=30000 # How long KafkaProducer.send() and KafkaProducer.partitionsFor() will block. # Should be higher than request.timeout.ms. max.block.ms=60000 # Timeout for broker requests, including produce requests. # Should be greater than or equal to the sum of request.timeout.ms and linger.ms. delivery.timeout.ms=120000 ##################### Security Configuration ##################### # Security protocol for communication with brokers. # Options: PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL #security.protocol=SASL_SSL # SSL configuration. #ssl.truststore.location=/path/to/truststore.jks #ssl.truststore.password=truststore-password # SASL configuration. #sasl.mechanism=PLAIN #sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required \ # username="your-username" \ # password="your-password"; ##################### Performance And Throughput ##################### # Compression codec for all data generated. # Options: none, gzip, snappy, lz4, zstd. # Can greatly improve throughput at the cost of increased CPU usage. compression.type=none # Producer will wait up to this delay to batch records together. # Higher values increase throughput but add latency. # Set to 0 for lowest latency, 5-100ms for balanced throughput/latency. linger.ms=5 # Default batch size in bytes when batching multiple records sent to a partition. # Larger batches improve throughput but use more memory. # 16KB is a good starting point, adjust based on message size and throughput needs. batch.size=16384 # Total bytes of memory the producer can use to buffer records waiting to be sent. # Should be larger than batch.size * number of partitions you're writing to. # 32MB is reasonable for most use cases. buffer.memory=33554432 # Maximum size of a request in bytes. # Should accommodate your largest batch size plus overhead. # 1MB is default and suitable for most cases. max.request.size=1048576
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