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How to Effectively Use continuationKey in an Async Function with Node.js and Azure Table Storage

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If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding the Problem
Many developers encounter the need to fetch large amounts of data from Azure Table Storage. Directly querying a large dataset can lead to timeouts or excessive resource usage. To mitigate this, Azure provides the concept of continuation tokens which lets you segment the results into manageable chunks.
Example Scenario
Let's assume you need to retrieve specific entries from your Azure Table Storage, particularly when the data is associated with different IDs. Continuation tokens help in fetching subsequent results without starting from scratch each time.
Implementing Continuation Tokens in Async Functions
The pure logic you need for handling continuation tokens can be simplified through a structured approach. Here, we will break down the solution into two main functions: queryEntitiesSegmented and queryAllEntities.
Step 1: Query Specific Segments
The first step is to create a function that can query the entities from Azure Table Storage. This function uses a continuationToken to fetch the next set of results.
[[See Video to Reveal this Text or Code Snippet]]
Step 2: Query All Entities
Now that we can query a segment, the next function will handle the continuous retrieval of data using the continuation tokens until there are no more results to fetch.
[[See Video to Reveal this Text or Code Snippet]]
Breakdown of the queryAllEntities Function
Table Query Creation: We start by creating a general query for the table entries.
Continuation Loop: We enter a loop to continuously fetch data until the continuation token returned is null.
Push Results: The retrieved entries are added to the entities array.
Final Result: Once the loop completes, we return the aggregated results.
Conclusion
Take the time to understand how continuation tokens work in your specific use case, and adjust the provided functions accordingly to suit your needs. Happy coding!
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Understanding the Problem
Many developers encounter the need to fetch large amounts of data from Azure Table Storage. Directly querying a large dataset can lead to timeouts or excessive resource usage. To mitigate this, Azure provides the concept of continuation tokens which lets you segment the results into manageable chunks.
Example Scenario
Let's assume you need to retrieve specific entries from your Azure Table Storage, particularly when the data is associated with different IDs. Continuation tokens help in fetching subsequent results without starting from scratch each time.
Implementing Continuation Tokens in Async Functions
The pure logic you need for handling continuation tokens can be simplified through a structured approach. Here, we will break down the solution into two main functions: queryEntitiesSegmented and queryAllEntities.
Step 1: Query Specific Segments
The first step is to create a function that can query the entities from Azure Table Storage. This function uses a continuationToken to fetch the next set of results.
[[See Video to Reveal this Text or Code Snippet]]
Step 2: Query All Entities
Now that we can query a segment, the next function will handle the continuous retrieval of data using the continuation tokens until there are no more results to fetch.
[[See Video to Reveal this Text or Code Snippet]]
Breakdown of the queryAllEntities Function
Table Query Creation: We start by creating a general query for the table entries.
Continuation Loop: We enter a loop to continuously fetch data until the continuation token returned is null.
Push Results: The retrieved entries are added to the entities array.
Final Result: Once the loop completes, we return the aggregated results.
Conclusion
Take the time to understand how continuation tokens work in your specific use case, and adjust the provided functions accordingly to suit your needs. Happy coding!