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列数据转KV (ColumnsToKvStreamOp)

Java 类名:com.alibaba.alink.operator.stream.dataproc.format.ColumnsToKvStreamOp

Python 类名:ColumnsToKvStreamOp

功能介绍

将数据格式从 Columns 转成 Kv

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
kvCol KV列名 KV列的列名 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”
kvColDelimiter 不同key之间分隔符 当输入数据为稀疏格式时,key-value对之间的分隔符 String “,”
kvValDelimiter key和value之间分隔符 当输入数据为稀疏格式时,key和value的分割符 String “:”
reservedCols 算法保留列名 算法保留列 String[] null
selectedCols 选中的列名数组 计算列对应的列名列表 String[] null

代码示例

Python 代码

from pyalink.alink import *

import pandas as pd

useLocalEnv(1)

df = pd.DataFrame([
    ['1', '{"f0":"1.0","f1":"2.0"}', '$3$0:1.0 1:2.0', 'f0:1.0,f1:2.0', '1.0,2.0', 1.0, 2.0],
    ['2', '{"f0":"4.0","f1":"8.0"}', '$3$0:4.0 1:8.0', 'f0:4.0,f1:8.0', '4.0,8.0', 4.0, 8.0]])

data = StreamOperator.fromDataframe(df, schemaStr="row string, json string, vec string, kv string, csv string, f0 double, f1 double")

op = ColumnsToKvStreamOp()\
    .setSelectedCols(["f0", "f1"])\
    .setReservedCols(["row"]).setKvCol("kv")\
    .linkFrom(data)
op.print()
StreamOperator.execute()

Java 代码

import org.apache.flink.types.Row;

import com.alibaba.alink.operator.stream.StreamOperator;
import com.alibaba.alink.operator.stream.dataproc.format.ColumnsToKvStreamOp;
import com.alibaba.alink.operator.stream.source.MemSourceStreamOp;
import org.junit.Test;

import java.util.Arrays;
import java.util.List;

public class ColumnsToKvStreamOpTest {
	@Test
	public void testColumnsToKvStreamOp() throws Exception {
		List <Row> df = Arrays.asList(
			Row.of("1", "{\"f0\":\"1.0\",\"f1\":\"2.0\"}", "$3$0:1.0 1:2.0", "f0:1.0,f1:2.0", "1.0,2.0", 1.0, 2.0),
			Row.of("2", "{\"f0\":\"4.0\",\"f1\":\"8.0\"}", "$3$0:4.0 1:8.0", "f0:4.0,f1:8.0", "4.0,8.0", 4.0, 8.0)
		);
		StreamOperator <?> data = new MemSourceStreamOp(df,
			"row string, json string, vec string, kv string, csv string, f0 double, f1 double");
		StreamOperator <?> op = new ColumnsToKvStreamOp()
			.setSelectedCols("f0", "f1")
			.setReservedCols("row").setKvCol("kv")
			.linkFrom(data);
		op.print();
		StreamOperator.execute();
	}
}

运行结果

row kv
1 f0:1.0,f1:2.0
2 f0:4.0,f1:8.0