flink where条件读取TIDB
时间: 2023-07-09 13:45:04 浏览: 134
要在Flink中使用Where条件读取TiDB,您需要使用TiDB Flink Connector。以下是一个基本示例,演示如何使用Where条件从TiDB表中读取数据:
```java
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.TableResult;
import org.apache.flink.connector.jdbc.JdbcConnectionOptions;
import org.apache.flink.connector.jdbc.JdbcSink;
import org.apache.flink.connector.jdbc.JdbcStatementBuilder;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableSchema;
import org.apache.flink.table.api.Types;
import org.apache.flink.types.Row;
import org.apache.flink.shaded.guava18.com.google.common.collect.ImmutableList;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.Properties;
public class ReadFromTiDBWithWhere {
public static void main(String[] args) {
// set up the execution environment
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tableEnv = StreamTableEnvironment.create(
env,
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
);
// configure TiDB properties
Properties properties = new Properties();
properties.setProperty("database-url", "jdbc:mysql://<tidb_ip>:<tidb_port>/<database_name>");
properties.setProperty("username", "<tidb_username>");
properties.setProperty("password", "<tidb_password>");
properties.setProperty("driver", "com.mysql.jdbc.Driver");
// register TiDB table
tableEnv.executeSql(
"CREATE TABLE my_table (\n" +
" id BIGINT,\n" +
" name STRING,\n" +
" age INT\n" +
") WITH (\n" +
" 'connector' = 'jdbc',\n" +
" 'properties' = '" + properties.toString() + "',\n" +
" 'table-name' = 'my_table'\n" +
")"
);
// select data from TiDB with where condition
Table table = tableEnv.sqlQuery("SELECT * FROM my_table WHERE age > 18");
// convert Table to DataStream
DataStream<Row> stream = tableEnv.toDataStream(table, Types.ROW(Types.LONG, Types.STRING, Types.INT));
// print the result to console
stream.print();
try {
env.execute();
} catch (Exception e) {
e.printStackTrace();
}
}
}
```
在上面的示例中,我们首先设置了TiDB连接属性,并在Flink中注册了TiDB表。然后,我们使用SQL语句从表中选择数据,并使用Where条件过滤数据。最后,我们将表转换为DataStream,并将结果打印到控制台。
请注意,在上面的示例中,我们使用JDBC连接器将Flink和TiDB连接起来。您也可以使用其他的连接器,例如TiDB Flink Connector,根据您的具体需求选择适合的连接器。
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