Java 类名:com.alibaba.alink.operator.stream.sql.SelectStreamOp
Python 类名:SelectStreamOp
功能介绍
对流式数据进行sql的SELECT操作。
使用方式
SELECT 语句中支持的内置函数可以参考 Flink
对应版本的官方文档: System (Built-in) Functions
。 但需要注意,有些内置函数在旧 planner
中不支持,在这里列出:Unsupported Built-In Functions
。
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 | | —- | —- | —- | —- | —- | —- | —- |
| clause | 运算语句 | 运算语句 | String | ✓ | | |
代码示例
Python 代码
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')op = SelectStreamOp().setClause('f1 as river')stream_data = stream_data.link(op)stream_data.print()StreamOperator.execute()
Java 代码
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.SelectStreamOp;import org.junit.Test;import java.util.Arrays;import java.util.List;public class SelectStreamOpTest {@Testpublic void testSelectStreamOp() 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 <?> op = new SelectStreamOp().setClause("f1 as river");stream_data = stream_data.link(op);stream_data.print();StreamOperator.execute();}}
运行结果
river
Ohio
Ohio
Nevada
Ohio
Nevada
Nevada
