flinksql如何链接kafka
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4.0.0 org.example flinksqldemo 1.0-SNAPSHOT UTF-8 UTF-8 2.11 2.11.8 0.10.2.1 1.12.0 2.7.3 compile org.apache.maven.plugins maven-compiler-plugin 8 org.apache.flink flink-table-planner-blink_2.11 1.12.0 org.apache.flink flink-java ${flink.version} ${setting.scope} org.apache.flink flink-streaming-java_2.11 ${flink.version} ${setting.scope} org.apache.flink flink-clients_2.11 ${flink.version} ${setting.scope} org.apache.flink flink-connector-kafka_2.11 1.12.0 org.apache.flink flink-csv 1.12.0 org.apache.flink flink-streaming-scala_${scala.binary.version} ${flink.version} ${setting.scope} org.apache.kafka kafka_${scala.binary.version} ${kafka.version} ${setting.scope} org.apache.hadoop hadoop-common ${hadoop.version} ${setting.scope} org.apache.hadoop hadoop-hdfs ${hadoop.version} ${setting.scope} org.apache.hadoop hadoop-client ${hadoop.version} ${setting.scope} org.slf4j slf4j-api 1.7.25 com.alibaba fastjson 1.2.72 redis.clients jedis 2.7.3 com.google.guava guava 29.0-jre
代码:
package com.jd.data; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.table.api.DataTypes; import org.apache.flink.table.api.Table; import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; import org.apache.flink.table.descriptors.Csv; import org.apache.flink.table.descriptors.Kafka; import org.apache.flink.table.descriptors.Schema; import org.apache.flink.types.Row; public class TableApiConnectKafka04 { public static void main(String[] args) throws Exception { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setParallelism(1); // 1、创建表执行环节 StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env); tableEnv.connect(new Kafka() .version("0.11") // 定义版本 .topic("xxx") // 定义主题 .property("zookeeper.connect", "localhost:2181") .property("bootstrap.servers", "localhost:9092") ).withFormat(new Csv()).withSchema(new Schema().field("a", DataTypes.STRING()) // 定义表的结构 .field("b", DataTypes.STRING()) .field("c", DataTypes.STRING()) ) .inAppendMode() .createTemporaryTable("xxx"); Table xxx = tableEnv.from("xxx"); xxx.printSchema(); tableEnv.toAppendStream(xxx, Row.class ).print(); env.execute("job"); } }
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