Kafka output plugin

The number of acknowledgments the producer requires the leader to have received before considering a request complete.

acks=0, the producer will not wait for any acknowledgment from the server at all. 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. acks=all, This means the leader will wait for the full set of in-sync replicas to acknowledge the record.

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.

When our memory buffer is exhausted we must either stop accepting new records (block) or throw errors. By default this setting is true and we block, however in some scenarios blocking is not desirable and it is better to immediately give an error.

This is for bootstrapping and the producer will only use it for getting metadata (topics, partitions and replicas). The socket connections for sending the actual data will be established based on the broker information returned in the metadata. 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.

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

The id string to pass to the server when making requests. The purpose of this is to be able to track the source of requests beyond just ip/port by allowing a logical application name to be included with the request

The compression type for all data generated by the producer. The default is none (i.e. no compression). Valid values are none, gzip, or snappy.

The Java Authentication and Authorization Service (JAAS) API supplies user authentication and authorization services for Kafka. This setting provides the path to the JAAS file. Sample JAAS file for Kafka client:

KafkaClient {
  com.sun.security.auth.module.Krb5LoginModule required
  useTicketCache=true
  renewTicket=true
  serviceName="kafka";
  };

Please note that specifying jaas_path and kerberos_config in the config file will add these to the global JVM system properties. This means if you have multiple Kafka inputs, all of them would be sharing the same jaas_path and kerberos_config. If this is not desirable, you would have to run separate instances of Logstash on different JVM instances.

Optional path to kerberos config file. This is krb5.conf style as detailed in https://web.mit.edu/kerberos/krb5-1.12/doc/admin/conf_files/krb5_conf.html

Serializer class for the key of the message

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.

The maximum size of a request

The key for the message

the timeout setting for initial metadata request to fetch topic metadata.

the max time in milliseconds before a metadata refresh is forced.

The size of the TCP receive buffer to use when reading data

The amount of time to wait before attempting to reconnect to a given host when a connection fails.

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.

Setting a value greater than zero will cause the client to resend any record whose send fails with a potentially transient error.

The amount of time to wait before attempting to retry a failed produce request to a given topic partition.

The Kerberos principal name that Kafka broker runs as. This can be defined either in Kafka’s JAAS config or in Kafka’s config.

SASL mechanism used for client connections. This may be any mechanism for which a security provider is available. GSSAPI is the default mechanism.

Security protocol to use, which can be either of PLAINTEXT,SSL,SASL_PLAINTEXT,SASL_SSL

The size of the TCP send buffer to use when sending data.

Enable SSL/TLS secured communication to Kafka broker.

The password of the private key in the key store file.

If client authentication is required, this setting stores the keystore path.

If client authentication is required, this setting stores the keystore password

The keystore type.

The JKS truststore path to validate the Kafka broker’s certificate.

The truststore password

The truststore type.

The configuration controls the maximum amount of time the server will wait for acknowledgments from followers to meet the acknowledgment requirements the producer has specified with the acks configuration. If the requested number of acknowledgments are not met when the timeout elapses an error will be returned. This timeout is measured on the server side and does not include the network latency of the request.

The topic to produce messages to

Serializer class for the value of the message

The codec used for output data. Output codecs are a convenient method for encoding your data before it leaves the output, without needing a separate filter in your Logstash pipeline.

Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.

Add a unique ID to the plugin configuration. If no ID is specified, Logstash will generate one. It is strongly recommended to set this ID in your configuration. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 grok filters. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

output {
 stdout {
   id => "my_plugin_id"
 }
}