Configuring and Managing UDFs

Prerequisites

You have prepared a UDF JAR file whose size does not exceed 200 MB.

Uploading a UDF

1. Access the Flink web UI. For details, see Accessing the Flink Web UI.
2. Click UDF Management. The UDF Management page is displayed.
3. Click Add UDF. Select and upload the prepared UDF JAR file for Local .jar File.
4. Enter the UDF name and description and click OK.
   

   • A maximum of 10 UDF names can be added. Name can be customized. Type must correspond to the UDF in the uploaded UDF JAR file.
   • After the UDF JAR file is uploaded, the server retains the file for 5 minutes by default. If you click OK within 5 minutes, the UDF creation is complete. If you click OK after 5 minutes, the UDF creation fails and an error message is displayed, indicating that the local UDF file path is incorrect.

5. In the UDF list, you can view information about all UDFs in the current application. You can edit or delete UDF information in the Operation column. (Only unused UDF items can be deleted.)
6. (Optional) If you need to run or develop a job immediately, configure the job on the Job Management page. For details, see Creating a Job.

UDF Java and SQL Examples

• UDF Java example

  package com.xxx.udf;
  import org.apache.flink.table.functions.ScalarFunction;
  public class UdfClass_UDF extends ScalarFunction {
      public int eval(String s) {
          return s.length();
      }
  }

• UDF SQL example

  CREATE TEMPORARY FUNCTION udf as 'com.xxx.udf.UdfClass_UDF';
  CREATE TABLE udfSource (a VARCHAR) WITH ('connector' = 'datagen','rows-per-second'='1');
  CREATE TABLE udfSink (a VARCHAR,b int) WITH ('connector' = 'print');
  INSERT INTO
    udfSink
  SELECT
    a,
    udf(a)
  FROM
    udfSource;

UDAF Java and SQL Examples

• UDAF Java example

  package com.xxx.udf;
  import org.apache.flink.table.functions.AggregateFunction;
  public class UdfClass_UDAF {
      public static class AverageAccumulator  {
          public int sum;
      }
      public static class Average extends AggregateFunction<Integer, AverageAccumulator> {
          public void accumulate(AverageAccumulator acc, Integer value) {
              acc.sum += value;
          }
          @Override
          public Integer getValue(AverageAccumulator acc) {
              return acc.sum;
          }
          @Override
          public AverageAccumulator createAccumulator() {
              return new AverageAccumulator();
          }
      }
  }

UDTF Java and SQL Examples

• UDTF Java example

  package com.xxx.udf;
  import org.apache.flink.api.java.tuple.Tuple2;
  import org.apache.flink.table.functions.TableFunction;
  public class UdfClass_UDTF extends TableFunction<Tuple2<String, Integer>> {
      public void eval(String str) {
          Tuple2<String, Integer> tuple2 = Tuple2.of(str, str.length());
          collect(tuple2);
      }
  }