数据拆分 (SplitBatchOp)

Java 类名：com.alibaba.alink.operator.batch.dataproc.SplitBatchOp
Python 类名：SplitBatchOp

功能介绍

将输入数据按比例拆分为两部分。

参数说明

代码示例

Python 代码

from pyalink.alink import *
import pandas as pd
useLocalEnv(1)
df_data = pd.DataFrame([['Ohio', 2001, 1.7],
                        ['Ohio', 2002, 3.6],
                        ['Nevada', 2001, 2.4],
                        ['Nevada', 2002, 2.9]])
batch_data = BatchOperator.fromDataframe(df_data, schemaStr='f1 string, f2 bigint, f3 double')
spliter = SplitBatchOp().setFraction(0.5)
spliter.linkFrom(batch_data)
spliter.lazyPrint(-1)
spliter.getSideOutput(0).lazyPrint(-1)
BatchOperator.execute()

Java 代码

import org.apache.flink.types.Row;
import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.dataproc.SplitBatchOp;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import org.junit.Test;
import java.util.Arrays;
import java.util.List;
public class SplitBatchOpTest {
    @Test
    public void testSplitBatchOp() throws Exception {
        List <Row> df_data = Arrays.asList(
            Row.of("Ohio", 2001, 1.7),
            Row.of("Ohio", 2002, 3.6),
            Row.of("Nevada", 2001, 2.4),
            Row.of("Nevada", 2002, 2.9)
           );
        BatchOperator <?> batch_data = new MemSourceBatchOp(df_data, "f1 string, f2 int, f3 double");
        BatchOperator <?> spliter = new SplitBatchOp().setFraction(0.5);
        spliter.linkFrom(batch_data);
        spliter.lazyPrint(-1);
        spliter.getSideOutput(0).lazyPrint(-1);
        BatchOperator.execute();
    }
}

运行结果

| f1 | f2 | f3 | | —- | —- | —- |

| Ohio | 2001 | 1.7000 |

| Nevada | 2002 | 2.9000 |

| f1 | f2 | f3 | | —- | —- | —- |

| Ohio | 2002 | 3.6000 |

| Nevada | 2001 | 2.4000 |