Package org.apache.camel.component.kafka

Class KafkaConfiguration

  • All Implemented Interfaces:
    Cloneable, org.apache.camel.spi.HeaderFilterStrategyAware
    @UriParams
public class KafkaConfiguration
extends Object
implements Cloneable, org.apache.camel.spi.HeaderFilterStrategyAware

    • Constructor Detail

      • KafkaConfiguration

        public KafkaConfiguration()

    • Method Detail

      • createProducerProperties

        public Properties createProducerProperties()

      • createConsumerProperties

        public Properties createConsumerProperties()

      • isTopicIsPattern

        public boolean isTopicIsPattern()

      • setTopicIsPattern

        public void setTopicIsPattern​(boolean topicIsPattern)
        Whether the topic is a pattern (regular expression). This can be used to subscribe to dynamic number of topics matching the pattern.

      • getGroupId

        public String getGroupId()

      • setGroupId

        public void setGroupId​(String groupId)
        A string that uniquely identifies the group of consumer processes to which this consumer belongs. By setting the same group id multiple processes indicate that they are all part of the same consumer group. This option is required for consumers.

      • getGroupInstanceId

        public String getGroupInstanceId()

      • setGroupInstanceId

        public void setGroupInstanceId​(String groupInstanceId)
        A unique identifier of the consumer instance provided by the end user. Only non-empty strings are permitted. If set, the consumer is treated as a static member, which means that only one instance with this ID is allowed in the consumer group at any time. This can be used in combination with a larger session timeout to avoid group rebalances caused by transient unavailability (e.g. process restarts). If not set, the consumer will join the group as a dynamic member, which is the traditional behavior.

      • getPartitioner

        public String getPartitioner()

      • setPartitioner

        public void setPartitioner​(String partitioner)
        The partitioner class for partitioning messages amongst sub-topics. The default partitioner is based on the hash of the key.

      • getTopic

        public String getTopic()

      • setTopic

        public void setTopic​(String topic)
        Name of the topic to use. On the consumer you can use comma to separate multiple topics. A producer can only send a message to a single topic.

      • getConsumersCount

        public int getConsumersCount()

      • setConsumersCount

        public void setConsumersCount​(int consumersCount)
        The number of consumers that connect to kafka server. Each consumer is run on a separate thread, that retrieves and process the incoming data.

      • getClientId

        public String getClientId()

      • setClientId

        public void setClientId​(String clientId)
        The client id is a user-specified string sent in each request to help trace calls. It should logically identify the application making the request.

      • isAutoCommitEnable

        public boolean isAutoCommitEnable()

      • getAutoCommitEnable

        public boolean getAutoCommitEnable()

      • setAutoCommitEnable

        public void setAutoCommitEnable​(boolean autoCommitEnable)
        If true, periodically commit to ZooKeeper the offset of messages already fetched by the consumer. This committed offset will be used when the process fails as the position from which the new consumer will begin.

      • isAllowManualCommit

        public boolean isAllowManualCommit()

      • setAllowManualCommit

        public void setAllowManualCommit​(boolean allowManualCommit)
        Whether to allow doing manual commits via KafkaManualCommit.

        If this option is enabled then an instance of KafkaManualCommit is stored on the Exchange message header, which allows end users to access this API and perform manual offset commits via the Kafka consumer.

      • getShutdownTimeout

        public int getShutdownTimeout()

      • setShutdownTimeout

        public void setShutdownTimeout​(int shutdownTimeout)
        Timeout in milliseconds to wait gracefully for the consumer or producer to shutdown and terminate its worker threads.

      • getOffsetRepository

        public org.apache.camel.spi.StateRepository<String,​String> getOffsetRepository()

      • setOffsetRepository

        public void setOffsetRepository​(org.apache.camel.spi.StateRepository<String,​String> offsetRepository)
        The offset repository to use in order to locally store the offset of each partition of the topic. Defining one will disable the autocommit.

      • getAutoCommitIntervalMs

        public Integer getAutoCommitIntervalMs()

      • setAutoCommitIntervalMs

        public void setAutoCommitIntervalMs​(Integer autoCommitIntervalMs)
        The frequency in ms that the consumer offsets are committed to zookeeper.

      • getFetchMinBytes

        public Integer getFetchMinBytes()

      • setFetchMinBytes

        public void setFetchMinBytes​(Integer fetchMinBytes)
        The minimum amount of data the server should return for a fetch request. If insufficient data is available the request will wait for that much data to accumulate before answering the request.

      • getFetchMaxBytes

        public Integer getFetchMaxBytes()
        The maximum amount of data the server should return for a fetch request This is not an absolute maximum, if the first message in the first non-empty partition of the fetch is larger than this value, the message will still be returned to ensure that the consumer can make progress. The maximum message size accepted by the broker is defined via message.max.bytes (broker config) or max.message.bytes (topic config). Note that the consumer performs multiple fetches in parallel.

      • setFetchMaxBytes

        public void setFetchMaxBytes​(Integer fetchMaxBytes)

      • getFetchWaitMaxMs

        public Integer getFetchWaitMaxMs()

      • setFetchWaitMaxMs

        public void setFetchWaitMaxMs​(Integer fetchWaitMaxMs)
        The maximum amount of time the server will block before answering the fetch request if there isn't sufficient data to immediately satisfy fetch.min.bytes

      • getAutoOffsetReset

        public String getAutoOffsetReset()

      • setAutoOffsetReset

        public void setAutoOffsetReset​(String autoOffsetReset)
        What to do when there is no initial offset in ZooKeeper or if an offset is out of range: earliest : automatically reset the offset to the earliest offset latest : automatically reset the offset to the latest offset fail: throw exception to the consumer

      • isBreakOnFirstError

        public boolean isBreakOnFirstError()

      • setBreakOnFirstError

        public void setBreakOnFirstError​(boolean breakOnFirstError)
        This options controls what happens when a consumer is processing an exchange and it fails. If the option is false then the consumer continues to the next message and processes it. If the option is true then the consumer breaks out, and will seek back to offset of the message that caused a failure, and then re-attempt to process this message. However this can lead to endless processing of the same message if its bound to fail every time, eg a poison message. Therefore its recommended to deal with that for example by using Camel's error handler.

      • getBrokers

        public String getBrokers()

      • setBrokers

        public void setBrokers​(String brokers)
        URL of the Kafka brokers to use. The format is host1:port1,host2:port2, and the list can be a subset of brokers or a VIP pointing to a subset of brokers.

        This option is known as bootstrap.servers in the Kafka documentation.

      • getSchemaRegistryURL

        public String getSchemaRegistryURL()

      • setSchemaRegistryURL

        public void setSchemaRegistryURL​(String schemaRegistryURL)
        URL of the Confluent Platform schema registry servers to use. The format is host1:port1,host2:port2. This is known as schema.registry.url in the Confluent Platform documentation. This option is only available in the Confluent Platform (not standard Apache Kafka)

      • isSpecificAvroReader

        public boolean isSpecificAvroReader()

      • setSpecificAvroReader

        public void setSpecificAvroReader​(boolean specificAvroReader)
        This enables the use of a specific Avro reader for use with the Confluent Platform schema registry and the io.confluent.kafka.serializers.KafkaAvroDeserializer. This option is only available in the Confluent Platform (not standard Apache Kafka)

      • getCompressionCodec

        public String getCompressionCodec()

      • setCompressionCodec

        public void setCompressionCodec​(String compressionCodec)
        This parameter allows you to specify the compression codec for all data generated by this producer. Valid values are "none", "gzip" and "snappy".

      • getRetryBackoffMs

        public Integer getRetryBackoffMs()

      • setRetryBackoffMs

        public void setRetryBackoffMs​(Integer retryBackoffMs)
        Before each retry, the producer refreshes the metadata of relevant topics to see if a new leader has been elected. Since leader election takes a bit of time, this property specifies the amount of time that the producer waits before refreshing the metadata.

      • getSendBufferBytes

        public Integer getSendBufferBytes()

      • setSendBufferBytes

        public void setSendBufferBytes​(Integer sendBufferBytes)
        Socket write buffer size

      • getRequestTimeoutMs

        public Integer getRequestTimeoutMs()

      • setRequestTimeoutMs

        public void setRequestTimeoutMs​(Integer requestTimeoutMs)
        The amount of time the broker will wait trying to meet the request.required.acks requirement before sending back an error to the client.

      • getDeliveryTimeoutMs

        public Integer getDeliveryTimeoutMs()

      • setDeliveryTimeoutMs

        public void setDeliveryTimeoutMs​(Integer deliveryTimeoutMs)
        An upper bound on the time to report success or failure after a call to send() returns. This limits the total time that a record will be delayed prior to sending, the time to await acknowledgement from the broker (if expected), and the time allowed for retriable send failures.

      • getQueueBufferingMaxMessages

        public Integer getQueueBufferingMaxMessages()

      • setQueueBufferingMaxMessages

        public void setQueueBufferingMaxMessages​(Integer queueBufferingMaxMessages)
        The maximum number of unsent messages that can be queued up the producer when using async mode before either the producer must be blocked or data must be dropped.

      • getValueSerializer

        public String getValueSerializer()

      • setValueSerializer

        public void setValueSerializer​(String valueSerializer)
        The serializer class for messages.

      • getKeySerializer

        public String getKeySerializer()

      • setKeySerializer

        public void setKeySerializer​(String keySerializer)
        The serializer class for keys (defaults to the same as for messages if nothing is given).

      • getKerberosInitCmd

        public String getKerberosInitCmd()

      • setKerberosInitCmd

        public void setKerberosInitCmd​(String kerberosInitCmd)
        Kerberos kinit command path. Default is /usr/bin/kinit

      • getKerberosBeforeReloginMinTime

        public Integer getKerberosBeforeReloginMinTime()

      • setKerberosBeforeReloginMinTime

        public void setKerberosBeforeReloginMinTime​(Integer kerberosBeforeReloginMinTime)
        Login thread sleep time between refresh attempts.

      • getKerberosRenewJitter

        public Double getKerberosRenewJitter()

      • setKerberosRenewJitter

        public void setKerberosRenewJitter​(Double kerberosRenewJitter)
        Percentage of random jitter added to the renewal time.

      • getKerberosRenewWindowFactor

        public Double getKerberosRenewWindowFactor()

      • setKerberosRenewWindowFactor

        public void setKerberosRenewWindowFactor​(Double kerberosRenewWindowFactor)
        Login thread will sleep until the specified window factor of time from last refresh to ticket's expiry has been reached, at which time it will try to renew the ticket.

      • getKerberosPrincipalToLocalRules

        public String getKerberosPrincipalToLocalRules()

      • setKerberosPrincipalToLocalRules

        public void setKerberosPrincipalToLocalRules​(String kerberosPrincipalToLocalRules)
        A list of rules for mapping from principal names to short names (typically operating system usernames). The rules are evaluated in order and the first rule that matches a principal name is used to map it to a short name. Any later rules in the list are ignored. By default, principal names of the form {username}/{hostname}@{REALM} are mapped to {username}. For more details on the format please see the security authorization and acls documentation (at the Apache Kafka project).

        Multiple values can be separated by comma

      • getSslCipherSuites

        public String getSslCipherSuites()

      • setSslCipherSuites

        public void setSslCipherSuites​(String sslCipherSuites)
        A list of cipher suites. This is a named combination of authentication, encryption, MAC and key exchange algorithm used to negotiate the security settings for a network connection using TLS or SSL network protocol. By default all the available cipher suites are supported.

      • getSslEndpointAlgorithm

        public String getSslEndpointAlgorithm()

      • setSslEndpointAlgorithm

        public void setSslEndpointAlgorithm​(String sslEndpointAlgorithm)
        The endpoint identification algorithm to validate server hostname using server certificate. Use none or false to disable server hostname verification.

      • getSslKeymanagerAlgorithm

        public String getSslKeymanagerAlgorithm()

      • setSslKeymanagerAlgorithm

        public void setSslKeymanagerAlgorithm​(String sslKeymanagerAlgorithm)
        The algorithm used by key manager factory for SSL connections. Default value is the key manager factory algorithm configured for the Java Virtual Machine.

      • getSslTrustmanagerAlgorithm

        public String getSslTrustmanagerAlgorithm()

      • setSslTrustmanagerAlgorithm

        public void setSslTrustmanagerAlgorithm​(String sslTrustmanagerAlgorithm)
        The algorithm used by trust manager factory for SSL connections. Default value is the trust manager factory algorithm configured for the Java Virtual Machine.

      • getSslEnabledProtocols

        public String getSslEnabledProtocols()

      • setSslEnabledProtocols

        public void setSslEnabledProtocols​(String sslEnabledProtocols)
        The list of protocols enabled for SSL connections. The default is TLSv1.2,TLSv1.3 when running with Java 11 or newer, TLSv1.2 otherwise. With the default value for Java 11, clients and servers will prefer TLSv1.3 if both support it and fallback to TLSv1.2 otherwise (assuming both support at least TLSv1.2). This default should be fine for most cases. Also see the config documentation for SslProtocol.

      • getSslKeystoreType

        public String getSslKeystoreType()

      • setSslKeystoreType

        public void setSslKeystoreType​(String sslKeystoreType)
        The file format of the key store file. This is optional for client. Default value is JKS

      • getSslProtocol

        public String getSslProtocol()

      • setSslProtocol

        public void setSslProtocol​(String sslProtocol)
        The SSL protocol used to generate the SSLContext. The default is TLSv1.3 when running with Java 11 or newer, TLSv1.2 otherwise. This value should be fine for most use cases. Allowed values in recent JVMs are TLSv1.2 and TLSv1.3. TLS, TLSv1.1, SSL, SSLv2 and SSLv3 may be supported in older JVMs, but their usage is discouraged due to known security vulnerabilities. With the default value for this config and sslEnabledProtocols, clients will downgrade to TLSv1.2 if the server does not support TLSv1.3. If this config is set to TLSv1.2, clients will not use TLSv1.3 even if it is one of the values in sslEnabledProtocols and the server only supports TLSv1.3.

      • getSslProvider

        public String getSslProvider()

      • setSslProvider

        public void setSslProvider​(String sslProvider)
        The name of the security provider used for SSL connections. Default value is the default security provider of the JVM.

      • getSslTruststoreType

        public String getSslTruststoreType()

      • setSslTruststoreType

        public void setSslTruststoreType​(String sslTruststoreType)
        The file format of the trust store file. Default value is JKS.

      • getSaslKerberosServiceName

        public String getSaslKerberosServiceName()

      • setSaslKerberosServiceName

        public void setSaslKerberosServiceName​(String saslKerberosServiceName)
        The Kerberos principal name that Kafka runs as. This can be defined either in Kafka's JAAS config or in Kafka's config.

      • getSaslMechanism

        public String getSaslMechanism()

      • getSaslJaasConfig

        public String getSaslJaasConfig()

      • setSaslJaasConfig

        public void setSaslJaasConfig​(String saslJaasConfig)
        Expose the kafka sasl.jaas.config parameter Example: org.apache.kafka.common.security.plain.PlainLoginModule required username="USERNAME" password="PASSWORD";

      • getSecurityProtocol

        public String getSecurityProtocol()

      • setSecurityProtocol

        public void setSecurityProtocol​(String securityProtocol)
        Protocol used to communicate with brokers. SASL_PLAINTEXT, PLAINTEXT and SSL are supported

      • getSslContextParameters

        public org.apache.camel.support.jsse.SSLContextParameters getSslContextParameters()

      • setSslContextParameters

        public void setSslContextParameters​(org.apache.camel.support.jsse.SSLContextParameters sslContextParameters)
        SSL configuration using a Camel SSLContextParameters object. If configured it's applied before the other SSL endpoint parameters. NOTE: Kafka only supports loading keystore from file locations, so prefix the location with file: in the KeyStoreParameters.resource option.

      • getSslKeyPassword

        public String getSslKeyPassword()

      • setSslKeyPassword

        public void setSslKeyPassword​(String sslKeyPassword)
        The password of the private key in the key store file or the PEM key specified in sslKeystoreKey. This is required for clients only if two-way authentication is configured.

      • getSslKeystoreLocation

        public String getSslKeystoreLocation()

      • setSslKeystoreLocation

        public void setSslKeystoreLocation​(String sslKeystoreLocation)
        The location of the key store file. This is optional for client and can be used for two-way authentication for client.

      • getSslKeystorePassword

        public String getSslKeystorePassword()

      • setSslKeystorePassword

        public void setSslKeystorePassword​(String sslKeystorePassword)
        The store password for the key store file. This is optional for client and only needed if sslKeystoreLocation' is configured. Key store password is not supported for PEM format.

      • getSslTruststoreLocation

        public String getSslTruststoreLocation()

      • setSslTruststoreLocation

        public void setSslTruststoreLocation​(String sslTruststoreLocation)
        The location of the trust store file.

      • getSslTruststorePassword

        public String getSslTruststorePassword()

      • setSslTruststorePassword

        public void setSslTruststorePassword​(String sslTruststorePassword)
        The password for the trust store file. If a password is not set, trust store file configured will still be used, but integrity checking is disabled. Trust store password is not supported for PEM format.

      • getBufferMemorySize

        public Integer getBufferMemorySize()

      • setBufferMemorySize

        public void setBufferMemorySize​(Integer bufferMemorySize)
        The total bytes of memory the producer can use to buffer records waiting to be sent to the server. If records are sent faster than they can be delivered to the server the producer will either block or throw an exception based on the preference specified by block.on.buffer.full.This setting should correspond roughly to the total memory the producer will use, but is not a hard bound since not all memory the producer uses is used for buffering. Some additional memory will be used for compression (if compression is enabled) as well as for maintaining in-flight requests.

      • getKey

        public String getKey()

      • setKey

        public void setKey​(String key)
        The record key (or null if no key is specified). If this option has been configured then it take precedence over header KafkaConstants.KEY

      • getPartitionKey

        public Integer getPartitionKey()

      • setPartitionKey

        public void setPartitionKey​(Integer partitionKey)
        The partition to which the record will be sent (or null if no partition was specified). If this option has been configured then it take precedence over header KafkaConstants.PARTITION_KEY

      • getRequestRequiredAcks

        public String getRequestRequiredAcks()

      • setRequestRequiredAcks

        public void setRequestRequiredAcks​(String requestRequiredAcks)
        The number of acknowledgments the producer requires the leader to have received before considering a request complete. This controls the durability of records that are sent. The following settings are common: acks=0 If set to zero then the producer will not wait for any acknowledgment from the server at all. The record will be immediately added to the socket buffer and considered sent. No guarantee can be made that the server has received the record in this case, and the retries configuration will not take effect (as the client won't generally know of any failures). The offset given back for each record will always be set to -1. acks=1 This will mean the leader will write the record to its local log but will respond without awaiting full acknowledgement from all followers. In this case should the leader fail immediately after acknowledging the record but before the followers have replicated it then the record will be lost. acks=all This means the leader will wait for the full set of in-sync replicas to acknowledge the record. This guarantees that the record will not be lost as long as at least one in-sync replica remains alive. This is the strongest available guarantee.

      • getRetries

        public Integer getRetries()

      • setRetries

        public void setRetries​(Integer retries)
        Setting a value greater than zero will cause the client to resend any record whose send fails with a potentially transient error. Note that this retry is no different than if the client resent the record upon receiving the error. Allowing retries will potentially change the ordering of records because if two records are sent to a single partition, and the first fails and is retried but the second succeeds, then the second record may appear first.

      • getProducerBatchSize

        public Integer getProducerBatchSize()

      • setProducerBatchSize

        public void setProducerBatchSize​(Integer producerBatchSize)
        The producer will attempt to batch records together into fewer requests whenever multiple records are being sent to the same partition. This helps performance on both the client and the server. This configuration controls the default batch size in bytes. No attempt will be made to batch records larger than this size.Requests sent to brokers will contain multiple batches, one for each partition with data available to be sent.A small batch size will make batching less common and may reduce throughput (a batch size of zero will disable batching entirely). A very large batch size may use memory a bit more wastefully as we will always allocate a buffer of the specified batch size in anticipation of additional records.

      • isBatchWithIndividualHeaders

        public boolean isBatchWithIndividualHeaders()

      • setBatchWithIndividualHeaders

        public void setBatchWithIndividualHeaders​(boolean batchWithIndividualHeaders)
        If this feature is enabled and a single element of a batch is an Exchange or Message, the producer will generate individual kafka header values for it by using the batch Message to determine the values. Normal behaviour consists in always using the same header values (which are determined by the parent Exchange which contains the Iterable or Iterator).

      • getConnectionMaxIdleMs

        public Integer getConnectionMaxIdleMs()

      • setConnectionMaxIdleMs

        public void setConnectionMaxIdleMs​(Integer connectionMaxIdleMs)
        Close idle connections after the number of milliseconds specified by this config.

      • getLingerMs

        public Integer getLingerMs()

      • setLingerMs

        public void setLingerMs​(Integer lingerMs)
        The producer groups together any records that arrive in between request transmissions into a single batched request. Normally this occurs only under load when records arrive faster than they can be sent out. However in some circumstances the client may want to reduce the number of requests even under moderate load. This setting accomplishes this by adding a small amount of artificial delay that is, rather than immediately sending out a record 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. This can be thought of as analogous to Nagle's algorithm in TCP. This setting gives the upper bound on the delay for batching: once we get batch.size worth of records for a partition it will be sent immediately regardless of this setting, however if we have fewer than this many bytes accumulated for this partition we will 'linger' for the specified time waiting for more records to show up. This setting defaults to 0 (i.e. no delay). Setting linger.ms=5, for example, would have the effect of reducing the number of requests sent but would add up to 5ms of latency to records sent in the absense of load.

      • getMaxBlockMs

        public Integer getMaxBlockMs()

      • setMaxBlockMs

        public void setMaxBlockMs​(Integer maxBlockMs)
        The configuration controls how long the KafkaProducer's send(), partitionsFor(), initTransactions(), sendOffsetsToTransaction(), commitTransaction() and abortTransaction() methods will block. For send() this timeout bounds the total time waiting for both metadata fetch and buffer allocation (blocking in the user-supplied serializers or partitioner is not counted against this timeout). For partitionsFor() this timeout bounds the time spent waiting for metadata if it is unavailable. The transaction-related methods always block, but may timeout if the transaction coordinator could not be discovered or did not respond within the timeout.

      • getMaxRequestSize

        public Integer getMaxRequestSize()

      • setMaxRequestSize

        public void setMaxRequestSize​(Integer maxRequestSize)
        The maximum size of a request. This is also effectively a cap on the maximum record size. Note that the server has its own cap on record size which may be different from this. This setting will limit the number of record batches the producer will send in a single request to avoid sending huge requests.

      • getReceiveBufferBytes

        public Integer getReceiveBufferBytes()

      • setReceiveBufferBytes

        public void setReceiveBufferBytes​(Integer receiveBufferBytes)
        The size of the TCP receive buffer (SO_RCVBUF) to use when reading data.

      • getMaxInFlightRequest

        public Integer getMaxInFlightRequest()

      • setMaxInFlightRequest

        public void setMaxInFlightRequest​(Integer maxInFlightRequest)
        The maximum number of unacknowledged requests the client will send on a single connection before blocking. Note that if this setting is set to be greater than 1 and there are failed sends, there is a risk of message re-ordering due to retries (i.e., if retries are enabled).

      • getMetadataMaxAgeMs

        public Integer getMetadataMaxAgeMs()

      • setMetadataMaxAgeMs

        public void setMetadataMaxAgeMs​(Integer metadataMaxAgeMs)
        The period of time in milliseconds after which we force a refresh of metadata even if we haven't seen any partition leadership changes to proactively discover any new brokers or partitions.

      • getMetricReporters

        public String getMetricReporters()

      • setMetricReporters

        public void setMetricReporters​(String metricReporters)
        A list of classes to use as metrics reporters. Implementing the MetricReporter interface allows plugging in classes that will be notified of new metric creation. The JmxReporter is always included to register JMX statistics.

      • getNoOfMetricsSample

        public Integer getNoOfMetricsSample()

      • setNoOfMetricsSample

        public void setNoOfMetricsSample​(Integer noOfMetricsSample)
        The number of samples maintained to compute metrics.

      • getMetricsSampleWindowMs

        public Integer getMetricsSampleWindowMs()

      • setMetricsSampleWindowMs

        public void setMetricsSampleWindowMs​(Integer metricsSampleWindowMs)
        The window of time a metrics sample is computed over.

      • getReconnectBackoffMs

        public Integer getReconnectBackoffMs()

      • setReconnectBackoffMs

        public void setReconnectBackoffMs​(Integer reconnectBackoffMs)
        The amount of time to wait before attempting to reconnect to a given host. This avoids repeatedly connecting to a host in a tight loop. This backoff applies to all requests sent by the consumer to the broker.

      • getHeartbeatIntervalMs

        public Integer getHeartbeatIntervalMs()

      • setHeartbeatIntervalMs

        public void setHeartbeatIntervalMs​(Integer heartbeatIntervalMs)
        The expected time between heartbeats to the consumer coordinator when using Kafka's group management facilities. Heartbeats are used to ensure that the consumer's session stays active and to facilitate rebalancing when new consumers join or leave the group. The value must be set lower than session.timeout.ms, but typically should be set no higher than 1/3 of that value. It can be adjusted even lower to control the expected time for normal rebalances.

      • getMaxPartitionFetchBytes

        public Integer getMaxPartitionFetchBytes()

      • setMaxPartitionFetchBytes

        public void setMaxPartitionFetchBytes​(Integer maxPartitionFetchBytes)
        The maximum amount of data per-partition the server will return. The maximum total memory used for a request will be #partitions * max.partition.fetch.bytes. This size must be at least as large as the maximum message size the server allows or else it is possible for the producer to send messages larger than the consumer can fetch. If that happens, the consumer can get stuck trying to fetch a large message on a certain partition.

      • getSessionTimeoutMs

        public Integer getSessionTimeoutMs()

      • setSessionTimeoutMs

        public void setSessionTimeoutMs​(Integer sessionTimeoutMs)
        The timeout used to detect failures when using Kafka's group management facilities.

      • getMaxPollRecords

        public Integer getMaxPollRecords()

      • setMaxPollRecords

        public void setMaxPollRecords​(Integer maxPollRecords)
        The maximum number of records returned in a single call to poll()

      • getPollTimeoutMs

        public Long getPollTimeoutMs()

      • setPollTimeoutMs

        public void setPollTimeoutMs​(Long pollTimeoutMs)
        The timeout used when polling the KafkaConsumer.

      • getMaxPollIntervalMs

        public Long getMaxPollIntervalMs()

      • setMaxPollIntervalMs

        public void setMaxPollIntervalMs​(Long maxPollIntervalMs)
        The maximum delay between invocations of poll() when using consumer group management. This places an upper bound on the amount of time that the consumer can be idle before fetching more records. If poll() is not called before expiration of this timeout, then the consumer is considered failed and the group will rebalance in order to reassign the partitions to another member.

      • getPartitionAssignor

        public String getPartitionAssignor()

      • setPartitionAssignor

        public void setPartitionAssignor​(String partitionAssignor)
        The class name of the partition assignment strategy that the client will use to distribute partition ownership amongst consumer instances when group management is used

      • getConsumerRequestTimeoutMs

        public Integer getConsumerRequestTimeoutMs()

      • setConsumerRequestTimeoutMs

        public void setConsumerRequestTimeoutMs​(Integer consumerRequestTimeoutMs)
        The configuration controls the maximum amount of time the client will wait for the response of a request. If the response is not received before the timeout elapses the client will resend the request if necessary or fail the request if retries are exhausted.

      • getCheckCrcs

        public Boolean getCheckCrcs()

      • setCheckCrcs

        public void setCheckCrcs​(Boolean checkCrcs)
        Automatically check the CRC32 of the records consumed. This ensures no on-the-wire or on-disk corruption to the messages occurred. This check adds some overhead, so it may be disabled in cases seeking extreme performance.

      • getKeyDeserializer

        public String getKeyDeserializer()

      • setKeyDeserializer

        public void setKeyDeserializer​(String keyDeserializer)
        Deserializer class for key that implements the Deserializer interface.

      • getValueDeserializer

        public String getValueDeserializer()

      • setValueDeserializer

        public void setValueDeserializer​(String valueDeserializer)
        Deserializer class for value that implements the Deserializer interface.

      • setSeekTo

        public void setSeekTo​(SeekPolicy seekTo)
        Set if KafkaConsumer will read from beginning or end on startup: SeekPolicy.BEGINNING: read from beginning. SeekPolicy.END: read from end.

      • setWorkerPool

        public void setWorkerPool​(ExecutorService workerPool)
        To use a custom worker pool for continue routing Exchange after kafka server has acknowledge the message that was sent to it from KafkaProducer using asynchronous non-blocking processing. If using this option then you must handle the lifecycle of the thread pool to shut the pool down when no longer needed.

      • getWorkerPoolCoreSize

        public Integer getWorkerPoolCoreSize()

      • setWorkerPoolCoreSize

        public void setWorkerPoolCoreSize​(Integer workerPoolCoreSize)
        Number of core threads for the worker pool for continue routing Exchange after kafka server has acknowledge the message that was sent to it from KafkaProducer using asynchronous non-blocking processing.

      • getWorkerPoolMaxSize

        public Integer getWorkerPoolMaxSize()

      • setWorkerPoolMaxSize

        public void setWorkerPoolMaxSize​(Integer workerPoolMaxSize)
        Maximum number of threads for the worker pool for continue routing Exchange after kafka server has acknowledge the message that was sent to it from KafkaProducer using asynchronous non-blocking processing.

      • isRecordMetadata

        public boolean isRecordMetadata()

      • setRecordMetadata

        public void setRecordMetadata​(boolean recordMetadata)
        Whether the producer should store the RecordMetadata results from sending to Kafka. The results are stored in a List containing the RecordMetadata metadata's. The list is stored on a header with the key KafkaConstants.KAFKA_RECORDMETA

      • getInterceptorClasses

        public String getInterceptorClasses()

      • setInterceptorClasses

        public void setInterceptorClasses​(String interceptorClasses)
        Sets interceptors for producer or consumers. Producer interceptors have to be classes implementing ProducerInterceptor Consumer interceptors have to be classes implementing ConsumerInterceptor Note that if you use Producer interceptor on a consumer it will throw a class cast exception in runtime

      • isEnableIdempotence

        public boolean isEnableIdempotence()

      • setEnableIdempotence

        public void setEnableIdempotence​(boolean enableIdempotence)
        If set to 'true' the producer will ensure that exactly one copy of each message is written in the stream. If 'false', producer retries may write duplicates of the retried message in the stream. If set to true this option will require max.in.flight.requests.per.connection to be set to 1 and retries cannot be zero and additionally acks must be set to 'all'.

      • getReconnectBackoffMaxMs

        public Integer getReconnectBackoffMaxMs()

      • setReconnectBackoffMaxMs

        public void setReconnectBackoffMaxMs​(Integer reconnectBackoffMaxMs)
        The maximum amount of time in milliseconds to wait when reconnecting to a broker that has repeatedly failed to connect. If provided, the backoff per host will increase exponentially for each consecutive connection failure, up to this maximum. After calculating the backoff increase, 20% random jitter is added to avoid connection storms.

      • getHeaderFilterStrategy

        public org.apache.camel.spi.HeaderFilterStrategy getHeaderFilterStrategy()
        Specified by:
        getHeaderFilterStrategy in interface org.apache.camel.spi.HeaderFilterStrategyAware

      • setHeaderFilterStrategy

        public void setHeaderFilterStrategy​(org.apache.camel.spi.HeaderFilterStrategy headerFilterStrategy)
        To use a custom HeaderFilterStrategy to filter header to and from Camel message.
        Specified by:
        setHeaderFilterStrategy in interface org.apache.camel.spi.HeaderFilterStrategyAware

      • setHeaderDeserializer

        public void setHeaderDeserializer​(KafkaHeaderDeserializer headerDeserializer)
        Sets custom KafkaHeaderDeserializer for deserialization kafka headers values to camel headers values.
        Parameters:
        headerDeserializer - custom kafka header deserializer to be used

      • setHeaderSerializer

        public void setHeaderSerializer​(KafkaHeaderSerializer headerSerializer)
        Sets custom KafkaHeaderDeserializer for serialization camel headers values to kafka headers values.
        Parameters:
        headerSerializer - custom kafka header serializer to be used

      • setAdditionalProperties

        public void setAdditionalProperties​(Map<String,​Object> additionalProperties)
        Sets additional properties for either kafka consumer or kafka producer in case they can't be set directly on the camel configurations (e.g: new Kafka properties that are not reflected yet in Camel configurations), the properties have to be prefixed with `additionalProperties.`. E.g: `additionalProperties.transactional.id=12345&additionalProperties.schema.registry.url=http://localhost:8811/avro`

      • getAdditionalProperties

        public Map<String,​Object> getAdditionalProperties()

      • isSynchronous

        public boolean isSynchronous()

      • setSynchronous

        public void setSynchronous​(boolean synchronous)

      • setPollOnError

        public void setPollOnError​(PollOnError pollOnError)
        What to do if kafka threw an exception while polling for new messages. Will by default use the value from the component configuration unless an explicit value has been configured on the endpoint level. DISCARD will discard the message and continue to poll next message. ERROR_HANDLER will use Camel's error handler to process the exception, and afterwards continue to poll next message. RECONNECT will re-connect the consumer and try poll the message again RETRY will let the consumer retry polling the same message again STOP will stop the consumer (have to be manually started/restarted if the consumer should be able to consume messages again)

      • getCommitTimeoutMs

        public Long getCommitTimeoutMs()

      • setCommitTimeoutMs

        public void setCommitTimeoutMs​(Long commitTimeoutMs)
        The maximum time, in milliseconds, that the code will wait for a synchronous commit to complete

      • getIsolationLevel

        public String getIsolationLevel()

      • setIsolationLevel

        public void setIsolationLevel​(String isolationLevel)
        Controls how to read messages written transactionally. If set to read_committed, consumer.poll() will only return transactional messages which have been committed. If set to read_uncommitted (the default), consumer.poll() will return all messages, even transactional messages which have been aborted. Non-transactional messages will be returned unconditionally in either mode. Messages will always be returned in offset order. Hence, in read_committed mode, consumer.poll() will only return messages up to the last stable offset (LSO), which is the one less than the offset of the first open transaction. In particular any messages appearing after messages belonging to ongoing transactions will be withheld until the relevant transaction has been completed. As a result, read_committed consumers will not be able to read up to the high watermark when there are in flight transactions. Further, when in read_committed the seekToEnd method will return the LSO