文本分解 (TokenizerStreamOp)

Java 类名：com.alibaba.alink.operator.stream.nlp.TokenizerStreamOp

Python 类名：TokenizerStreamOp

功能介绍

对文本按空白符进行切分操作。

使用方式

文本列通过参数 selectedCol 指定，输出列通过 outputCol 指定。

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
selectedCol	选中的列名	计算列对应的列名	String	✓	所选列类型为 [STRING]
outputCol	输出结果列	输出结果列列名，可选，默认null	String			null
reservedCols	算法保留列名	算法保留列	String[]			null
numThreads	组件多线程线程个数	组件多线程线程个数	Integer			1

代码示例

Python 代码

from pyalink.alink import *

import pandas as pd

useLocalEnv(1)

df = pd.DataFrame([
    [0, 'That is an English Book!'],
    [1, 'Do you like math?'],
    [2, 'Have a good day!']
])

inOp1 = BatchOperator.fromDataframe(df, schemaStr='id long, text string')

op = TokenizerBatchOp().setSelectedCol("text")
op.linkFrom(inOp1).print()

inOp2 = StreamOperator.fromDataframe(df, schemaStr='id long, text string')
op2 = TokenizerStreamOp().setSelectedCol("text")
op2.linkFrom(inOp2).print()

StreamOperator.execute()

Java 代码

import org.apache.flink.types.Row;

import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.nlp.TokenizerBatchOp;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import com.alibaba.alink.operator.stream.StreamOperator;
import com.alibaba.alink.operator.stream.nlp.TokenizerStreamOp;
import com.alibaba.alink.operator.stream.source.MemSourceStreamOp;
import org.junit.Test;

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

public class TokenizerStreamOpTest {
	@Test
	public void testTokenizerStreamOp() throws Exception {
		List <Row> df = Arrays.asList(
			Row.of(0, "That is an English Book!"),
			Row.of(1, "Do you like math?"),
			Row.of(2, "Have a good day!")
		);
		BatchOperator <?> inOp1 = new MemSourceBatchOp(df, "id int, text string");
		BatchOperator <?> op = new TokenizerBatchOp().setSelectedCol("text");
		op.linkFrom(inOp1).print();
		StreamOperator <?> inOp2 = new MemSourceStreamOp(df, "id int, text string");
		StreamOperator <?> op2 = new TokenizerStreamOp().setSelectedCol("text");
		op2.linkFrom(inOp2).print();
		StreamOperator.execute();
	}
}

运行结果

批运行结果

id	text
0	that is an english book!
1	do you like math?
2	have a good day!

流运行结果

id	text
0	that is an english book!
2	have a good day!
1	do you like math?