PiflowX组件-WriteToKafka

WriteToKafka组件

组件说明

将数据写入kafka。

计算引擎

flink

有界性

Streaming Append Mode

组件分组

kafka

端口

Inport：默认端口

outport：默认端口

组件属性

名称	展示名称	默认值	允许值	是否必填	描述	例子
kafka_host	KAFKA_HOST	“”	无	是	逗号分隔的Kafka broker列表。	127.0.0.1:9092
topic	TOPIC	“”	无	否	写入的topic名。注意不支持topic列表。	test
schema	SCHEMA	“”	无	否	Kafka消息的schema信息。若不指定，将从上游输入数据推断。	id:int,name:string,age:int
format	FORMAT	“”	Set(“json”, “csv”, “avro”, “parquet”, “orc”, “raw”, “protobuf”,“debezium-json”, “canal-json”, “maxwell-json”, “ogg-json”)	是	用来序列化或反序列化Kafka消息的格式。注意：该配置项和 ‘value.format’ 二者必需其一。	json
properties	PROPERTIES	“”	无	否	Kafka source连接器其他配置

WriteToKafka示例配置

{
  "flow": {
    "name": "DataGenTest",
    "uuid": "1234",
    "stops": [
      {
        "uuid": "0000",
        "name": "DataGen1",
        "bundle": "cn.piflow.bundle.flink.common.DataGen",
        "properties": {
          "schema": "[{\"filedName\":\"id\",\"filedType\":\"INT\",\"kind\":\"sequence\",\"start\":1,\"end\":10000},{\"filedName\":\"name\",\"filedType\":\"STRING\",\"kind\":\"random\",\"length\":15},{\"filedName\":\"age\",\"filedType\":\"INT\",\"kind\":\"random\",\"max\":100,\"min\":1}]",
          "count": "100",
          "ratio": "5"
        }
      },
      {
        "uuid": "1111",
        "name": "WriteToKafka1",
        "bundle": "cn.piflow.bundle.flink.kafka.WriteToKafka",
        "properties": {
          "kafka_host": "hadoop01:9092",
          "topic": "test",
          "schema": "",
          "format": "json",
          "properties": "{}"
        }
      },
      {
        "uuid": "2222",
        "name": "ReadFromKafka1",
        "bundle": "cn.piflow.bundle.flink.kafka.ReadFromKafka",
        "properties": {
          "kafka_host": "hadoop01:9092",
          "topic": "test",
          "group": "test",
          "startup_mode": "earliest-offset",
          "schema": "id:int,name:string,age:int",
          "format": "json",
          "properties": "{}"
        }
      },
      {
        "uuid": "3333",
        "name": "ShowData1",
        "bundle": "cn.piflow.bundle.flink.common.ShowData",
        "properties": {
          "showNumber": "5000"
        }
      }
    ],
    "paths": [
      {
        "from": "DataGen1",
        "outport": "",
        "inport": "",
        "to": "WriteToKafka1"
      },
      {
        "from": "WriteToKafka1",
        "outport": "",
        "inport": "",
        "to": "ReadFromKafka1"
      },
      {
        "from": "ReadFromKafka1",
        "outport": "",
        "inport": "",
        "to": "ShowData1"
      }
    ]
  }
}

示例说明

本示例演示了通过DataGen组件生成id，name，age3个字段100条数据，每秒生成5条数据，通过WriteToKafka组件将数据写入到kafka的test topic中，然后通过ReadFromKafka组件从test topic中读取数据，最后使用ShowData组件将数据打印在控制台。

字段描述

[
    {       
        "filedName": "id",
        "filedType": "INT",
        "kind": "sequence",
        "start": 1,
        "end": 10000
    },
        {       
        "filedName": "name",
        "filedType": "STRING",
        "kind": "random",
        "length": 15
    },
        {       
        "filedName": "age",
        "filedType": "INT",
        "kind": "random",
        "max": 100,
        "min": 1
    } 
]

1.id字段

id字段类型为INT,使用sequence生成器，序列生成器的起始值为1，结束值为10000.

2.name字段

name字段类型为STRING,使用random生成器，生成字符长度为15。

3.age字段

age字段类型为INT，使用random生成器，随机生成器的最小值为1，最大值为100。