IOTDB入门(六)
【摘要】 当连接到IOTDB数据库并创建了存储组和时间序列后,您可以执行各种操作来读取、写入和查询数据。以下是一些常见操作的示例代码:聚合查询:String sql = "SELECT AVG(temperature), MAX(humidity) FROM root.sg1.device1 WHERE time >= 1629792000000 AND time <= 1629878400000 G...
当连接到IOTDB数据库并创建了存储组和时间序列后,您可以执行各种操作来读取、写入和查询数据。以下是一些常见操作的示例代码:
- 聚合查询:
String sql = "SELECT AVG(temperature), MAX(humidity) FROM root.sg1.device1 WHERE time >= 1629792000000 AND time <= 1629878400000 GROUP BY ([1h, 10m])"; SessionDataSet dataSet = session.executeQueryStatement(sql); while (dataSet.hasNext()) { RowRecord rowRecord = dataSet.next(); System.out.println("Time: " + rowRecord.getTimestamp()); System.out.println("Average Temperature: " + rowRecord.getFields().get(0).getFloatV()); System.out.println("Max Humidity: " + rowRecord.getFields().get(1).getFloatV()); }
- 查询数据并进行分页:
String sql = "SELECT temperature, humidity FROM root.sg1.device1 WHERE time >= 1629792000000 AND time <= 1629878400000"; int limit = 10; // 每页数据条数 int offset = 0; // 偏移量 while (true) { String pageSql = sql + " LIMIT " + limit + " OFFSET " + offset; SessionDataSet dataSet = session.executeQueryStatement(pageSql); if (!dataSet.hasNext()) { break; } while (dataSet.hasNext()) { RowRecord rowRecord = dataSet.next(); System.out.println("Time: " + rowRecord.getTimestamp()); System.out.println("Temperature: " + rowRecord.getFields().get(0).getFloatV()); System.out.println("Humidity: " + rowRecord.getFields().get(1).getFloatV()); } offset += limit; }
- 使用时间过滤条件查询数据:
long startTime = 1629792000000L; // 开始时间 long endTime = 1629878400000L; // 结束时间 String sql = "SELECT temperature, humidity FROM root.sg1.device1 WHERE time > " + startTime + " AND time < " + endTime; SessionDataSet dataSet = session.executeQueryStatement(sql); while (dataSet.hasNext()) { RowRecord rowRecord = dataSet.next(); System.out.println("Time: " + rowRecord.getTimestamp()); System.out.println("Temperature: " + rowRecord.getFields().get(0).getFloatV()); System.out.println("Humidity: " + rowRecord.getFields().get(1).getFloatV()); }
- 执行聚合函数查询并使用别名:
String sql = "SELECT AVG(temperature) AS avg_temp, MAX(humidity) AS max_humidity FROM root.sg1.device1 WHERE time >= 1629792000000 AND time <= 1629878400000"; SessionDataSet dataSet = session.executeQueryStatement(sql); if (dataSet.hasNext()) { RowRecord rowRecord = dataSet.next(); System.out.println("Average Temperature: " + rowRecord.getFields().get("avg_temp").getFloatV()); System.out.println("Max Humidity: " + rowRecord.getFields().get("max_humidity").getFloatV()); }
这些示例代码展示了更多的操作,包括聚合查询、分页查询、时间过滤条件查询和使用别名。您可以根据具体的需求和业务场景进行进一步的操作和扩展。
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