Unlock the Power of Azure Table Storage: Efficient Querying with Default Indexing

Querying with Default Indexing

Now that we’ve covered the basics of default indexing, let’s dive into some examples of efficient querying using the Azure Table Storage API.

const Azure = require('azure-storage');

const tableSvc = Azure.createTableService('accountName', 'accountKey');

// Create a table client
const tableClient = tableSvc.getTableClient('mytable');

// Query entities with a specific PartitionKey and RowKey
tableClient.getEntity('partitionKey', 'rowKey')
  .then((entity) => {
    console.log(entity);
  })
  .catch((err) => {
    console.error(err);
  });

// Query entities with a range of PartitionKey values
tableClient.queryEntities({
  filter: `PartitionKey ge 'partitionKey1' and PartitionKey le 'partitionKey2'`
})
  .then((entities) => {
    console.log(entities);
  })
  .catch((err) => {
    console.error(err);
  });

// Query entities with a prefix on the PartitionKey
tableClient.queryEntities({
  filter: `PartitionKey eq 'prefix*'`
})
  .then((entities) => {
    console.log(entities);
  })
  .catch((err) => {
    console.error(err);
  });

Tips and Tricks for Efficient Querying

Beyond default indexing, here are some additional tips to optimize your queries in Azure Table Storage:

• Use query filters**: Filter your queries to reduce the number of entities returned, reducing the amount of data transferred and improving performance.
• Limit query results**: Use the $top query parameter to limit the number of entities returned, reducing the amount of data transferred.
• Avoid scans**: Scans can be expensive and slow. Instead, use point queries or range queries to retrieve specific entities or ranges of entities.
• Use async queries**: Use asynchronous queries to improve performance and reduce latency.