

Per funzionalità simili a Amazon Timestream for, prendi in considerazione Amazon Timestream LiveAnalytics per InfluxDB. Offre un'acquisizione semplificata dei dati e tempi di risposta alle query di una sola cifra di millisecondi per analisi in tempo reale. [Scopri](https://docs.aws.amazon.com//timestream/latest/developerguide/timestream-for-influxdb.html) di più qui.

Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.

# Elencare tabelle
<a name="code-samples.list-table"></a>

È possibile utilizzare i seguenti frammenti di codice per elencare le tabelle.

**Nota**  
Questi frammenti di codice si basano su applicazioni di esempio complete su. [GitHub](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) Per ulteriori informazioni su come iniziare a utilizzare le applicazioni di esempio, consulta. [Applicazione di esempio](sample-apps.md)

------
#### [  Java  ]

```
    public void listTables() {
        System.out.println("Listing tables");
        ListTablesRequest request = new ListTablesRequest();
        request.setDatabaseName(DATABASE_NAME);
        ListTablesResult result = amazonTimestreamWrite.listTables(request);
        printTables(result.getTables());

        String nextToken = result.getNextToken();
        while (nextToken != null && !nextToken.isEmpty()) {
            request.setNextToken(nextToken);
            ListTablesResult nextResult = amazonTimestreamWrite.listTables(request);

            printTables(nextResult.getTables());
            nextToken = nextResult.getNextToken();
        }
    }
    
     private void printTables(List<Table> tables) {
        for (Table table : tables) {
            System.out.println(table.getTableName());
        }
    }
```

------
#### [  Java v2  ]

```
    public void listTables() {
        System.out.println("Listing tables");
        ListTablesRequest request = ListTablesRequest.builder().databaseName(DATABASE_NAME).maxResults(2).build();
        ListTablesIterable listTablesIterable = timestreamWriteClient.listTablesPaginator(request);
        for(ListTablesResponse listTablesResponse : listTablesIterable) {
            final List<Table> tables = listTablesResponse.tables();
            tables.forEach(table -> System.out.println(table.tableName()));
        }
    }
```

------
#### [  Go  ]

```
listTablesMaxResult := int64(15)

    listTablesInput := &timestreamwrite.ListTablesInput{
        DatabaseName: aws.String(*databaseName),
        MaxResults:   &listTablesMaxResult,
    }
    listTablesOutput, err := writeSvc.ListTables(listTablesInput)

    if err != nil {
        fmt.Println("Error:")
        fmt.Println(err)
    } else {
        fmt.Println("List tables is successful, below is the output:")
        fmt.Println(listTablesOutput)
    }
```

------
#### [  Python  ]

```
    def list_tables(self):
        print("Listing tables")
        try:
            result = self.client.list_tables(DatabaseName=Constant.DATABASE_NAME, MaxResults=5)
            self.__print_tables(result['Tables'])
            next_token = result.get('NextToken', None)
            while next_token:
                result = self.client.list_tables(DatabaseName=Constant.DATABASE_NAME,
                                                 NextToken=next_token, MaxResults=5)
                self.__print_tables(result['Tables'])
                next_token = result.get('NextToken', None)
        except Exception as err:
            print("List tables failed:", err)
```

------
#### [  Node.js  ]

Il seguente frammento utilizza AWS SDK per la versione 3. JavaScript Per ulteriori informazioni su come installare il client e sull'utilizzo, consulta [Timestream Write](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-timestream-write/index.html) Client - SDK per v3. AWS JavaScript 

[Vedi anche Class and. ListTablesCommand [ListTables](https://docs.aws.amazon.com/timestream/latest/developerguide/API_ListTables.html)](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-timestream-write/classes/listtablescommand.html)

```
import { TimestreamWriteClient, ListTablesCommand } from "@aws-sdk/client-timestream-write";
const writeClient = new TimestreamWriteClient({ region: "us-east-1" });

const params = {
    DatabaseName: "testDbFromNode",
    MaxResults: 15
};

const command = new ListTablesCommand(params);

getTablesList(null);

async function getTablesList(nextToken) {
    if (nextToken) {
        params.NextToken = nextToken;
    }

    try {
        const data = await writeClient.send(command);

        data.Tables.forEach(function (table) {
            console.log(table.TableName);
        });

        if (data.NextToken) {
            return getTablesList(data.NextToken);
        }
    } catch (error) {
        console.log("Error while listing tables", error);
    }
}
```

Il seguente frammento utilizza l' AWS SDK per JavaScript lo stile V2. Si basa sull'applicazione di esempio disponibile in [Node.js, esempio Amazon Timestream LiveAnalytics ](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/sample_apps/js) per l'applicazione su. GitHub

```
async function listTables() {
    console.log("Listing tables:");
    const tables = await getTablesList(null);
    tables.forEach(function(table){
        console.log(table.TableName);
    });
}

function getTablesList(nextToken, tables = []) {
    var params = {
        DatabaseName: constants.DATABASE_NAME,
        MaxResults: 15
    };

    if(nextToken) {
        params.NextToken = nextToken;
    }

    return writeClient.listTables(params).promise()
        .then(
            (data) => {
                tables.push.apply(tables, data.Tables);
                if (data.NextToken) {
                    return getTablesList(data.NextToken, tables);
                } else {
                    return tables;
                }
            },
            (err) => {
                console.log("Error while listing databases", err);
            });
}
```

------
#### [  .NET  ]

```
        public async Task ListTables()
        {
            Console.WriteLine("Listing Tables");

            try
            {
                var listTablesRequest = new ListTablesRequest
                {
                    MaxResults = 5,
                    DatabaseName = Constants.DATABASE_NAME
                };
                ListTablesResponse response = await writeClient.ListTablesAsync(listTablesRequest);
                PrintTables(response.Tables);
                string nextToken = response.NextToken;
                while (nextToken != null)
                {
                    listTablesRequest.NextToken = nextToken;
                    response = await writeClient.ListTablesAsync(listTablesRequest);
                    PrintTables(response.Tables);
                    nextToken = response.NextToken;
                }
            }
            catch (Exception e)
            {
                Console.WriteLine("List table failed:" + e.ToString());
            }

        }

        private void PrintTables(List<Table> tables)
        {
            foreach (Table table in tables)
                Console.WriteLine($"Table: {table.TableName}");
        }
```

------