Open-Source Kafka Sink Stream

Function

DLI exports the output data of the Flink job to Kafka.

Apache Kafka is a fast, scalable, and fault-tolerant distributed message publishing and subscription system. It delivers high throughput and built-in partitions and provides data replicas and fault tolerance. Apache Kafka is applicable to scenarios of handling massive messages.

Prerequisites

If the Kafka server listens on the port using hostname, you need to add the mapping between the hostname and IP address of the Kafka Broker node to the DLI queue. Contact the Kafka service deployment personnel to obtain the hostname and IP address of the Kafka Broker node. For details about how to add an IP-domain mapping, see Enhanced Datasource Connections > Modifying the Host Information in the Data Lake Insight User Guide.
Kafka is an offline cluster. You need to use the enhanced datasource connection function to connect Flink jobs to Kafka. You can also set security group rules as required.
For details about how to create an enhanced datasource connection, see Enhanced Datasource Connections in the Data Lake Insight User Guide.

For details about how to configure security group rules, see Security Group in the Virtual Private Cloud User Guide.

Syntax

    
         CREATE SINK STREAM stream_id (attr_name attr_type (',' attr_name attr_type)* )
  WITH(
    type = "kafka",
    kafka_bootstrap_servers = "",
    kafka_topic = "",
    encode = "json"
  )

Keyword

**Table 1** Keyword description
Parameter	Mandatory	Description
type	Yes	Output channel type. kafka indicates that data is exported to Kafka.
kafka_bootstrap_servers	Yes	Port that connects DLI to Kafka. Use enhanced datasource connections to connect DLI queues with Kafka clusters.
kafka_topic	Yes	Kafka topic into which DLI writes data.
encode	Yes	Data encoding format. The value can be csv, json, or user_defined. field_delimiter must be specified if this parameter is set to csv. encode_class_name and encode_class_parameter must be specified if this parameter is set to user_defined.
filed_delimiter	No	If encode is set to csv, you can use this parameter to specify the separator between CSV fields. By default, the comma (,) is used.
encode_class_name	No	If encode is set to user_defined, you need to set this parameter to the name of the user-defined decoding class (including the complete package path). The class must inherit the DeserializationSchema class.
encode_class_parameter	No	If encode is set to user_defined, you can set this parameter to specify the input parameter of the user-defined decoding class. Only one parameter of the string type is supported.
kafka_properties	No	This parameter is used to configure the native attributes of Kafka. The format is key1=value1;key2=value2.
kafka_certificate_name	No	Name of the datasource authentication information. This parameter is valid only when the datasource authentication type is set to Kafka_SSL. NOTE: If this parameter is specified, the service loads only the specified file and password under the authentication. The system automatically sets this parameter to kafka_properties. Other configuration information required for Kafka SSL authentication needs to be manually configured in the kafka_properties attribute.

Precautions

None

Example

Output the data in the kafka_sink stream to Kafka.

    
         CREATE SINK STREAM kafka_sink (name STRING) 
  WITH (
    type="kafka",
    kafka_bootstrap_servers =  "ip1:port1,ip2:port2",
    kafka_topic = "testsink",
    encode = "json" 
  );