Retrieving Transaction Data For Azure Storage Account using SDK

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For Moving Azure Data Lake Storage (ADLS) accounts from Locally Redundant Storage (LRS) to Geo-Redundant Storage (GRS) or Zone-Redundant Storage (ZRS) involves several steps and considerations.

For Migration

Storage Account Size: The total size of your storage account will impact the migration time.

Number of Files: Large numbers of files can increase the complexity of the migration.

Read/Write Operations: High throughput or large-scale operations may require careful planning.

Verify that moving to GRS or ZRS complies with your data governance policies. Back up important data if needed. GRS and ZRS have different pricing compared to LRS. Check the cost implications.

Azure CLI: Use Azure CLI to update the replication setting

az storage account update --name <storage-account-name> --resource-group <resource-group-name> --sku <new-sku>

For Small Accounts (up to a few TB):

• GRS: Several hours to a day. The asynchronous nature of GRS means replication time can vary.
• ZRS: Typically, quicker, usually within a few hours, since it involves replication within the same region.
• Cost Impact: Be aware of cost changes due to different replication types and the data transfer involved.

To get the daily transaction count for a storage account using the Azure SDK, you can use the Azure Monitor service, which collects and analyses metrics and logs. The Azure SDK can interact with Azure Monitor to retrieve this information

Azure Monitor Metrics: Azure Monitor metrics are required to get transaction counts

Set Up Your Azure Credentials: Ensure you have the necessary credentials to access Azure resources. This might involve setting up environment variables or using a configuration file.

Install Azure SDK: Install the Azure SDK package for your language if you haven’t already. For example, in Python, you would install the azure-monitor-query package.

Below is an example using Python to get the daily transaction count for an Azure Storage Account: from azure. Identity import Default Azure Credential

from azure. monitor. query import Metrics Query Client.

# Initialize the client
credential = DefaultAzureCredential()
client = MetricsQueryClient(credential)
 
# Set parameters
subscription_id = 'your-subscription-id'
resource_group = 'your-resource-group'
storage_account_name = 'your-storage-account'
resource_id = f'/subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/Microsoft.Storage/storageAccounts/{storage_account_name}'
 
# Query the metric
response = client.query(
  resource_id=resource_id,
  metric_names=['TransactionCount'],
  timespan='P1D',  # Last 1 day
  interval='PT1H'  # Hourly granularity
)
# Print results
for metric in response.metrics:
  print(f"Metric: {metric.name}")
   for time_series_element in metric.timeseries:
   for data in time_series_element.data:
          print(f"Timestamp: {data.timestamp}, Value: {data.total}")

Hope this answer helps! please let us know if you have any further queries. I’m happy to assist you further.

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