Java 类名:com.alibaba.alink.operator.stream.sql.UnionAllStreamOp
Python 类名:UnionAllStreamOp
对流式数据进行sql的UNION ALL操作。
名称 | 中文名称 | 描述 | 类型 | 是否必须? | 取值范围 | 默认值 |
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from pyalink.alink import * import pandas as pd useLocalEnv(1) df = pd.DataFrame([ ['Ohio', 2000, 1.5], ['Ohio', 2001, 1.7], ['Ohio', 2002, 3.6], ['Nevada', 2001, 2.4], ['Nevada', 2002, 2.9], ['Nevada', 2003, 3.2] ]) stream_data = StreamOperator.fromDataframe(df, schemaStr='f1 string, f2 bigint, f3 double') stream_data2 = StreamOperator.fromDataframe(df, schemaStr='f1 string, f2 bigint, f3 double') op = UnionAllStreamOp() stream_data = op.linkFrom(stream_data, stream_data2) stream_data.print() StreamOperator.execute()
import org.apache.flink.types.Row; import com.alibaba.alink.operator.stream.StreamOperator; import com.alibaba.alink.operator.stream.source.MemSourceStreamOp; import com.alibaba.alink.operator.stream.sql.UnionAllStreamOp; import org.junit.Test; import java.util.Arrays; import java.util.List; public class UnionAllStreamOpTest { @Test public void testUnionAllStreamOp() throws Exception { List <Row> df = 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", 2002, 2.9), Row.of("Nevada", 2003, 3.2) ); StreamOperator <?> stream_data = new MemSourceStreamOp(df, "f1 string, f2 int, f3 double"); StreamOperator <?> stream_data2 = new MemSourceStreamOp(df, "f1 string, f2 int, f3 double"); StreamOperator <?> op = new UnionAllStreamOp(); stream_data = op.linkFrom(stream_data, stream_data2); stream_data.print(); StreamOperator.execute(); } }
f1 | f2 | f3 |
---|---|---|
Ohio | 2000 | 1.5000 |
Ohio | 2001 | 1.7000 |
Nevada | 2001 | 2.4000 |
Ohio | 2002 | 3.6000 |
Nevada | 2003 | 3.2000 |
Nevada | 2002 | 2.9000 |
Ohio | 2000 | 1.5000 |
Ohio | 2001 | 1.7000 |
Ohio | 2002 | 3.6000 |
Nevada | 2001 | 2.4000 |
Nevada | 2002 | 2.9000 |
Nevada | 2003 | 3.2000 |