Flink 批量读取 Hive 数据并写入 MySQL 数据库

以下是一个示例代码，演示了如何使用 Flink 批量读取 Hive 数据并写入到 MySQL 数据库。\n\njava\nimport org.apache.flink.api.common.functions.MapFunction;\nimport org.apache.flink.api.java.tuple.Tuple2;\nimport org.apache.flink.configuration.Configuration;\nimport org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;\nimport org.apache.flink.table.api.EnvironmentSettings;\nimport org.apache.flink.table.api.Table;\nimport org.apache.flink.table.api.bridge.java.StreamTableEnvironment;\nimport org.apache.flink.table.catalog.hive.HiveCatalog;\nimport org.apache.flink.table.factories.TableFactoryService;\n\nimport java.sql.Connection;\nimport java.sql.DriverManager;\nimport java.sql.PreparedStatement;\nimport java.sql.SQLException;\n\npublic class HiveToMySQL {\n\n public static void main(String[] args) throws Exception {\n // 初始化Flink的执行环境\n EnvironmentSettings settings = EnvironmentSettings.newInstance().useBlinkPlanner().inBatchMode().build();\n StreamExecutionEnvironment streamEnv = StreamExecutionEnvironment.getExecutionEnvironment();\n StreamTableEnvironment tableEnv = StreamTableEnvironment.create(streamEnv, settings);\n\n // 创建HiveCatalog\n String hiveCatalogName = "myHiveCatalog";\n String hiveDatabase = "your_hive_database";\n String hiveConfDir = "/path/to/hive/conf";\n String hiveVersion = "your_hive_version";\n HiveCatalog hiveCatalog = new HiveCatalog(hiveCatalogName, hiveDatabase, hiveConfDir, hiveVersion);\n tableEnv.registerCatalog(hiveCatalogName, hiveCatalog);\n tableEnv.useCatalog(hiveCatalogName);\n\n // 执行SQL查询Hive数据\n String hiveTable = "your_hive_table";\n String selectSQL = "SELECT * FROM " + hiveTable;\n Table hiveTableData = tableEnv.sqlQuery(selectSQL);\n\n // 将Hive数据转换为需要插入MySQL的格式\n Table mysqlTableData = hiveTableData.map(new MapFunction<Tuple2<Boolean, Row>, Tuple2<String, Integer>>() {\n @Override\n public Tuple2<String, Integer> map(Tuple2<Boolean, Row> value) throws Exception {\n // 假设Hive表中有两列：column1 (String) 和 column2 (Int)\n String column1 = value.f1.getField(0).toString();\n Integer column2 = Integer.parseInt(value.f1.getField(1).toString());\n return Tuple2.of(column1, column2);\n }\n });\n\n // 创建MySQL连接\n String mysqlURL = "jdbc:mysql://your_mysql_url";\n String mysqlUser = "your_mysql_user";\n String mysqlPassword = "your_mysql_password";\n Connection connection = DriverManager.getConnection(mysqlURL, mysqlUser, mysqlPassword);\n\n // 插入MySQL数据\n String insertSQL = "INSERT INTO your_mysql_table (column1, column2) VALUES (?, ?)";\n PreparedStatement preparedStatement = connection.prepareStatement(insertSQL);\n mysqlTableData.collect().forEach(row -> {\n try {\n preparedStatement.setString(1, row.getField(0).toString());\n preparedStatement.setInt(2, Integer.parseInt(row.getField(1).toString()));\n preparedStatement.executeUpdate();\n } catch (SQLException e) {\n e.printStackTrace();\n }\n });\n\n // 关闭MySQL连接\n preparedStatement.close();\n connection.close();\n \n // 执行Flink任务\n streamEnv.execute("HiveToMySQL");\n }\n}\n\n\n请注意，代码中的一些部分需要根据你的实际情况进行修改，例如Hive表名、MySQL表名、Hive和MySQL的连接信息等。\n\n