action: String, city: String, ip:String, userid:String) def main(args: Array[String]): ...
thrownewIllegalStateException(String.format("unsupported version: %d",envelope.getVersion())); } 注意: 本Demo 演示时默认单个 Binlog Event 不会超过 Kafka 单个消息大小限制,如果超过单个消息大小限制,Demo 必须在消费时引入 Flink 的高级特性“状态”去拼接 Envelope 来得到完整消息体,此种场景需要用户参考 ...
import java.io.UnsupportedEncodingException; import java.nio.ByteBuffer; import java.util.Map; public class CompanySerializer implements Serializer<Company> { @Override public void configure(Map<String, ?> configs, boolean isKey) { } //进行字节数组序列化 @Override public byte[] serialize(String top...
val output = input.process(new ProcessFunction[(String,String), (String,String)] { override def processElement(i: (String, String), context: ProcessFunction[(String, String), (String, String)]#Context, collector: Collector[(String, String)]): Unit = { collector.collect(i) } }) output.p...
def main(args: Array[String]): Unit = { val env = StreamExecutionEnvironment.getExecutionEnvironment val text = env.socketTextStream("192.168.221.131", 9001) import org.apache.flink.api.scala._ val wordCount = text.flatMap(_.split(" "))//将每一行数据根据空格切分单词 ...
"type": "object","properties": {"lon": {"type": "number"},"rideTime": {"type": "string","format": "date-time"} } }' SQL 的properties 中可以通过 属性 "format.json-schema" 设置输入的 json schema。 Flink 的 json-schema 中支持如下的数据类型: ...
CREATE TABLE union_test(foo UNIONTYPE<int, double, array<string>, struct>); 每种数据类型在网络传输中都涉及到类型的序列化和反序列化,因此数据类型都有显示名称,也就是字符串表示的名字,如: INT的显示类型名称为 int CHAR的显示类型名称为 char VARCHAR的显示类型名称...
Exception in thread "main" org.apache.flink.table.planner.codegen.CodeGenException: Unsupported cast from 'ROW' to 'ROW'. at org.apache.flink.table.planner.codegen.calls.ScalarOperatorGens$.generateCast(ScalarOperatorGens.scala:1284) at org.apache.flink.table.planner.codegen.ExprCodeGenerator....
throw new TableException("Unsupported node type " + validated.getClass().getSimpleName()); } } /** Fallback method for sql query. */ private Operation convertSqlQuery(SqlNode node) { return toQueryOperation(flinkPlanner, node); } private PlannerQueryOperation toQueryOperation(FlinkPlannerImpl...
问PyFlink -UNNEST的问题:查询使用不支持的SQL特性？EN在《0基础学习PyFlink——Map和Reduce函数处理单词...