Java 类名:com.alibaba.alink.pipeline.dataproc.format.VectorToJson
Python 类名:VectorToJson

功能介绍

将数据格式从 Vector 转成 Json

参数说明

名称 中文名称 描述 类型 是否必须? 取值范围 默认值
jsonCol JSON列名 JSON列的列名 String
vectorCol 向量列名 向量列对应的列名 String
handleInvalid 解析异常处理策略 解析异常处理策略,可选为ERROR(抛出异常)或者SKIP(输出NULL) String “ERROR”, “SKIP” “ERROR”
reservedCols 算法保留列名 算法保留列 String[] null

代码示例

Python 代码

  1. from pyalink.alink import *
  2. import pandas as pd
  3. useLocalEnv(1)
  4. df = pd.DataFrame([
  5. ['1', '{"f0":"1.0","f1":"2.0"}', '$3$0:1.0 1:2.0', '0:1.0,1:2.0', '1.0,2.0', 1.0, 2.0],
  6. ['2', '{"f0":"4.0","f1":"8.0"}', '$3$0:4.0 1:8.0', '0:4.0,1:8.0', '4.0,8.0', 4.0, 8.0]])
  7. data = BatchOperator.fromDataframe(df, schemaStr="row string, json string, vec string, kv string, csv string, f0 double, f1 double")
  8. op = VectorToJson()\
  9. .setVectorCol("vec")\
  10. .setReservedCols(["row"])\
  11. .setJsonCol("json")\
  12. .transform(data)
  13. op.print()

Java 代码

  1. import org.apache.flink.types.Row;
  2. import com.alibaba.alink.operator.batch.BatchOperator;
  3. import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
  4. import com.alibaba.alink.pipeline.dataproc.format.VectorToJson;
  5. import org.junit.Test;
  6. import java.util.Arrays;
  7. import java.util.List;
  8. public class VectorToJsonTest {
  9. @Test
  10. public void testVectorToJson() throws Exception {
  11. List <Row> df = Arrays.asList(
  12. Row.of("1", "{\"f0\":\"1.0\",\"f1\":\"2.0\"}", "$3$0:1.0 1:2.0", "0:1.0,1:2.0", "1.0,2.0", 1.0, 2.0)
  13. );
  14. BatchOperator <?> data = new MemSourceBatchOp(df,
  15. "row string, json string, vec string, kv string, csv string, f0 double, f1 double");
  16. BatchOperator op = new VectorToJson()
  17. .setVectorCol("vec")
  18. .setReservedCols("row")
  19. .setJsonCol("json")
  20. .transform(data);
  21. op.print();
  22. }
  23. }

运行结果

| row | json | | —- | —- |

| 1 | {“1”:”1.0”,”2”:”2.0”} |

| 2 | {“2”:”4.0”,”2”:”8.0”} |