Atualizar tabela - Amazon Timestream

Para recursos semelhantes aos do Amazon Timestream para LiveAnalytics, considere o Amazon Timestream para InfluxDB. Ele oferece ingestão de dados simplificada e tempos de resposta de consulta de um dígito em milissegundos para análises em tempo real. Saiba mais aqui.

Atualizar tabela

É possível usar os seguintes trechos de código para atualizar uma tabela.

nota

Esses trechos de código são baseados em aplicativos de amostra completos no GitHub. Para obter mais informações sobre como iniciar com os aplicativos de amostra, consulte Aplicação de exemplo.

Java
public void updateTable() { System.out.println("Updating table"); UpdateTableRequest updateTableRequest = new UpdateTableRequest(); updateTableRequest.setDatabaseName(DATABASE_NAME); updateTableRequest.setTableName(TABLE_NAME); final RetentionProperties retentionProperties = new RetentionProperties() .withMemoryStoreRetentionPeriodInHours(HT_TTL_HOURS) .withMagneticStoreRetentionPeriodInDays(CT_TTL_DAYS); updateTableRequest.setRetentionProperties(retentionProperties); amazonTimestreamWrite.updateTable(updateTableRequest); System.out.println("Table updated"); }
Java v2
public void updateTable() { System.out.println("Updating table"); final RetentionProperties retentionProperties = RetentionProperties.builder() .memoryStoreRetentionPeriodInHours(HT_TTL_HOURS) .magneticStoreRetentionPeriodInDays(CT_TTL_DAYS).build(); final UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .databaseName(DATABASE_NAME).tableName(TABLE_NAME).retentionProperties(retentionProperties).build(); timestreamWriteClient.updateTable(updateTableRequest); System.out.println("Table updated"); }
Go
// Update table. magneticStoreRetentionPeriodInDays := int64(7 * 365) memoryStoreRetentionPeriodInHours := int64(24) updateTableInput := &timestreamwrite.UpdateTableInput{ DatabaseName: aws.String(*databaseName), TableName: aws.String(*tableName), RetentionProperties: &timestreamwrite.RetentionProperties{ MagneticStoreRetentionPeriodInDays: &magneticStoreRetentionPeriodInDays, MemoryStoreRetentionPeriodInHours: &memoryStoreRetentionPeriodInHours, }, } updateTableOutput, err := writeSvc.UpdateTable(updateTableInput) if err != nil { fmt.Println("Error:") fmt.Println(err) } else { fmt.Println("Update table is successful, below is the output:") fmt.Println(updateTableOutput) }
Python
def update_table(self): print("Updating table") retention_properties = { 'MemoryStoreRetentionPeriodInHours': Constant.HT_TTL_HOURS, 'MagneticStoreRetentionPeriodInDays': Constant.CT_TTL_DAYS } try: self.client.update_table(DatabaseName=Constant.DATABASE_NAME, TableName=Constant.TABLE_NAME, RetentionProperties=retention_properties) print("Table updated.") except Exception as err: print("Update table failed:", err)
Node.js

O trecho de código a seguir usa o SDK AWS para o JavaScript v3. Para mais informações sobre como instalar o cliente e o uso, consulte Timestream Write Client - AWS SDK para JavaScript v3.

Consulte também Class UpdateTableCommand e UpdateTable.

import { TimestreamWriteClient, UpdateTableCommand } from "@aws-sdk/client-timestream-write"; const writeClient = new TimestreamWriteClient({ region: "us-east-1" }); const params = { DatabaseName: "testDbFromNode", TableName: "testTableFromNode", RetentionProperties: { MemoryStoreRetentionPeriodInHours: 24, MagneticStoreRetentionPeriodInDays: 180 } }; const command = new UpdateTableCommand(params); try { const data = await writeClient.send(command); console.log("Table updated") } catch (error) { console.log("Error updating table. ", error); }

O trecho de código a seguir usa o SDK AWS para o estilo for JavaScript V2. Ele se baseia no aplicativo de amostra no aplicativo de amostra Node.js do Amazon Timestream para LiveAnalytics no GitHub.

async function updateTable() { console.log("Updating Table"); const params = { DatabaseName: constants.DATABASE_NAME, TableName: constants.TABLE_NAME, RetentionProperties: { MemoryStoreRetentionPeriodInHours: constants.HT_TTL_HOURS, MagneticStoreRetentionPeriodInDays: constants.CT_TTL_DAYS } }; const promise = writeClient.updateTable(params).promise(); await promise.then( (data) => { console.log("Table updated") }, (err) => { console.log("Error updating table. ", err); throw err; } ); }
.NET
public async Task UpdateTable() { Console.WriteLine("Updating Table"); try { var updateTableRequest = new UpdateTableRequest { DatabaseName = Constants.DATABASE_NAME, TableName = Constants.TABLE_NAME, RetentionProperties = new RetentionProperties { MagneticStoreRetentionPeriodInDays = Constants.CT_TTL_DAYS, MemoryStoreRetentionPeriodInHours = Constants.HT_TTL_HOURS } }; UpdateTableResponse response = await writeClient.UpdateTableAsync(updateTableRequest); Console.WriteLine($"Table {Constants.TABLE_NAME} updated"); } catch (ResourceNotFoundException) { Console.WriteLine("Table does not exist."); } catch (Exception e) { Console.WriteLine("Update table failed:" + e.ToString()); } }