Table数据读入 (TableSourceBatchOp)

Java 类名：com.alibaba.alink.operator.batch.source.TableSourceBatchOp
Python 类名：TableSourceBatchOp

功能介绍

从Table中生成BatchOperator数据

参数说明

代码示例

以下代码仅用于示意，可能需要修改部分代码或者配置环境后才能正常运行！

Python 代码

df = pd.DataFrame([
    [0, "0 0 0"],
    [1, "1 1 1"],
    [2, "2 2 2"]
])
inOp = BatchOperator.fromDataframe(df, schemaStr='id int, vec string')
inOp.getOutputTable()
TableSourceBatchOp(inOp.getOutputTable()).print()

Java 代码

import org.apache.flink.types.Row;
import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import com.alibaba.alink.operator.batch.source.TableSourceBatchOp;
import org.junit.Test;
import java.util.Arrays;
import java.util.List;
public class TableSourceBatchOpTest {
    @Test
    public void testTableSourceBatchOp() throws Exception {
        List <Row> df = Arrays.asList(
            Row.of(0, "0 0 0"),
            Row.of(1, "1 1 1"),
            Row.of(2, "2 2 2")
        );
        BatchOperator <?> inOp = new MemSourceBatchOp(df, "id int, vec string");
        inOp.getOutputTable();
        new TableSourceBatchOp(inOp.getOutputTable()).print();
    }
}

运行结果