Java 类名:com.alibaba.alink.operator.batch.sql.IntersectAllBatchOp
Python 类名:IntersectAllBatchOp
功能介绍
对批式数据进行sql的INTERSECTALL操作。(一个数据集交另一个数据集,不去重)
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 | | —- | —- | —- | —- | —- | —- | —- |
代码示例
Python 代码
from pyalink.alink import *
import pandas as pd
useLocalEnv(1)
df1 = pd.DataFrame([
['Ohio', 2000, 1.5],
['Ohio', 2001, 1.7],
['Ohio', 2002, 3.6],
['Nevada', 2001, 2.4],
['Nevada', 2001, 2.4],
['Nevada', 2003, 3.2]
])
df2 = pd.DataFrame([
['Nevada', 2001, 2.4],
['Nevada', 2001, 2.4],
['Nevada', 2003, 3.2]
])
batch_data1 = BatchOperator.fromDataframe(df1, schemaStr='f1 string, f2 bigint, f3 double')
batch_data2 = BatchOperator.fromDataframe(df2, schemaStr='f1 string, f2 bigint, f3 double')
op = IntersectAllBatchOp()
op.linkFrom(batch_data1, batch_data2).print()
Java 代码
import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import com.alibaba.alink.operator.batch.sql.IntersectAllBatchOp;
import org.junit.Test;
public class IntersectAllBatchOpTest {
@Test
public void testIntersectAllBatchOp() throws Exception {
List <Row> df1 = Arrays.asList(
Row.of("Ohio", 2000, 1.5),
Row.of("Ohio", 2001, 1.7),
Row.of("Ohio", 2002, 3.6),
Row.of("Nevada", 2001, 2.4),
Row.of("Nevada", 2001, 2.4),
Row.of("Nevada", 2003, 3.2)
);
List <Row> df2 = Arrays.asList(
Row.of("Nevada", 2001, 2.4),
Row.of("Nevada", 2001, 2.4),
Row.of("Nevada", 2003, 3.2)
);
BatchOperator <?> data1 = new MemSourceBatchOp(df1, "f1 string, f2 int, f3 double");
BatchOperator <?> data2 = new MemSourceBatchOp(df2, "f1 string, f2 int, f3 double");
BatchOperator <?> intersectAllOp = new IntersectAllBatchOp();
intersectAllOp.linkFrom(data1, data2).print();
}
}
运行结果
| f1 | f2 | f3 | | —- | —- | —- |
| Nevada | 2001 | 2.4000 |
| Nevada | 2001 | 2.4000 |
| Nevada | 2003 | 3.2000 |