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Simple Log Service:Paginação de resultados de consulta e análise

Última atualização: Jul 03, 2026

Quando os resultados da consulta forem extensos, use a paginação para controlar a quantidade de logs retornados por solicitação. Instruções de pesquisa paginam com os parâmetros offset e line; instruções analíticas paginam com a cláusula LIMIT.

Métodos de paginação

A operação GetLogs oferece suporte à paginação tanto para instruções de pesquisa quanto para instruções analíticas, cada uma com um método diferente. Para obter a contagem total de logs antes da consulta, chame GetHistograms.

Exemplos de paginação

Os exemplos a seguir mostram como paginar resultados de consulta e de análise.

  • Paginar resultados de consulta

    Em uma consulta paginada, o offset incrementa a cada solicitação até que o GetLogs retorne 0 resultados e marque a consulta como concluída.

    • Pseudocódigo de paginação

      offset = 0                           # The line from which the system starts to read logs. The value 0 indicates that the system reads logs from line 0. 
      line = 100                          # The number of rows that are returned for the current API request. Up to 100 rows can be returned. If you set this parameter to a value greater than 100, only 100 rows are returned. Read 100 lines at a time. 
      query = "status:200"                 # Query all logs in which the value of the status field is 200. 
      while True:
           response = get_logstore_logs(query, offset, line) # Call the operation to read logs. 
           process (response)                                 # Call custom logic to process the returned result. 
           if response.get_count() == 0 && response.is_complete()   
               The read process is complete, and the current loop ends.
           else
              offset += 100                          # The value of the offset parameter increases to 100. The next 100 lines are read.

      Exemplo de código Python

      Consulte a Visão geral do SDK do Simple Log Service para Python.

      # The Simple Log Service endpoint. 
      endpoint = '' 
      # In this example, the AccessKey ID and AccessKey secret are obtained from environment variables. 
      accessKeyId = os.environ.get('ALIBABA_CLOUD_ACCESS_KEY_ID', '')
      accessKey = os.environ.get('ALIBABA_CLOUD_ACCESS_KEY_SECRET', '')
      # The name of the project. 
      project = ''     
      # The name of the Logstore. 
      logstore = ''  
      client = LogClient(endpoint, accessKeyId, accessKey)
      topic = ""
      From = int(time.time()) - 600
      To = int(time.time())
      log_line = 100
      offset = 0
      while True:
          res4 = None
          for retry_time in range(0, 3): 
              req4 = GetLogsRequest(project, logstore, From, To, topic=topic, line=log_line, offset=offset)
              res4 = client.get_logs(req4)
              if res4 is not None and res4.is_completed():
                  break
              time.sleep(1)
           offset += 100 
           if res4.is_completed() and res4.get_count() == 0:
               break;
           if res4 is not None:
               # The execution result. 
              res4.log_print() 

      Exemplo de código Java

      Consulte a Visão geral do SDK do Simple Log Service para Java.

      int log_offset = 0;
      int log_line = 100;   // The number of lines that are read at a time. Up to 100 rows can be returned. If you want to read more than 100 lines, use the offset parameter. The offset and line parameters take effect only for a search statement that uses keywords. If you use an analytic statement, the offset and line parameters are invalid. If you want an analytic statement to return more than 100 rows, use the LIMIT clause. 
      while (true) {
          GetLogsResponse res4 = null;
          // For each offset, 100 lines are read at a time. If the read operation fails, up to three retries are allowed. 
          for (int retry_time = 0; retry_time < 3; retry_time++) {
                GetLogsRequest req4 = new GetLogsRequest(project, logstore, from, to, topic, query, log_offset,
                     log_line, false);
                res4 = client.GetLogs(req4);
                if (res4 != null && res4.IsCompleted()) {
                          break;
                      }
                      Thread.sleep(200);
                  }
                  System.out.println("Read log count:" + String.valueOf(res4.GetCount()));
                  log_offset += log_line;
                  if (res4.IsCompleted() && res4.GetCount() == 0) {
                              break;
                  }
       }                    
  • Paginar resultados de análise

    Use a cláusula LIMIT no SQL para paginar os resultados da análise. Por exemplo, se * | select count(1) , url group by url retornar 1.000 entradas, divida em duas solicitações de 500 cada:

    * | select count(1) , url  group by url  limit 0, 500
    * | select count(1) , url  group by url  limit 500, 500
    • Pseudocódigo de paginação

      offset = 0     // The line from which the system starts to read logs. The value 0 indicates that the system reads logs from line 0. 
      line = 500    // The number of rows that are returned for the current API request. Up to 1,000,000 rows can be returned. If many lines are read at a time, the network latency increases, and the client-side processing speed decreases. Read 500 lines at a time. 
      query = "* | select count(1) , url  group by url  limit "
      while True:
      real_query = query + offset + "," +  line
      response = get_logstore_logs(real_query) // Call the operation to read logs. 
      process (response)                       // Call custom logic to process the returned result. 
      if response.get_count() == 0   
          The read process is complete, and the current loop ends.
      else
          offset += 500                        // The value of the offset parameter increases to 500. The next 500 lines are read.

      Exemplo de código Python

      Consulte a Visão geral do SDK do Simple Log Service para Python.

      # The Simple Log Service endpoint.
      endpoint = '' 
      # In this example, the AccessKey ID and AccessKey secret are obtained from environment variables. 
      accessKeyId = os.environ.get('ALIBABA_CLOUD_ACCESS_KEY_ID', '')
      accessKey = os.environ.get('ALIBABA_CLOUD_ACCESS_KEY_SECRET', '')
      # The name of the project. 
      project = ''     
      # The name of the Logstore. 
      logstore = ''  
      client = LogClient(endpoint, accessKeyId, accessKey)
      topic = ""
      origin_query = "* | select *  limit "
      From = int(time.time()) - 600
      To = int(time.time())
      log_line = 100
      offset = 0
      while True:
          res4 = None
          query = origin_query + str(offset) + " , " + str(log_line)
          for retry_time in range(0, 3): 
              req4 = GetLogsRequest(project, logstore, From, To, topic=topic, query=query)
              res4 = client.get_logs(req4)
              if res4 is not None and res4.is_completed():
                  break
              time.sleep(1)
          offset += 100 
          if res4.is_completed() and res4.get_count() == 0:
              break;
          if res4 is not None:
          # The execution result. 
              res4.log_print()   

      Exemplo de código Java

      Consulte a Visão geral do SDK do Simple Log Service para Java.

      int log_offset = 0;
      int log_line = 500;
      String origin_query = "* | select count(1) , url  group by url  limit "
      while (true) {
                  GetLogsResponse res4 = null;
                  // For each offset, 500 lines are read at a time. If the read operation fails, up to three retries are allowed. 
                  query = origin_query + log_offset + "," + log_line;
                  for (int retry_time = 0; retry_time < 3; retry_time++) {
                      GetLogsRequest req4 = new GetLogsRequest(project, logstore, from, to, topic, query);
                      res4 = client.GetLogs(req4);
      
                      if (res4 != null && res4.IsCompleted()) {
                          break;
                      }
                      Thread.sleep(200);
                  }
                  System.out.println("Read log count:" + String.valueOf(res4.GetCount()));
                  log_offset += log_line;
                  if (res4.GetCount() == 0) {
                              break;
                  }
      }