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You do not essentially ought to duplicate each of the properties of the entity. For example, If your queries that lookup the entities using the email handle in the RowKey under no circumstances need to have the employee's age, these entities might have the subsequent composition:
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Produce index entities inside of a different partition or table. Solution #1: Use blob storage For the first choice, you produce a blob For each and every exclusive last identify, and in Every blob keep a summary of the PartitionKey (Office) and RowKey (personnel id) values for employees which have that last identify. Any time you include or delete an worker you must make certain that the content in the relevant blob is ultimately in keeping with the worker entities. Choice #2: Develop index entities in exactly the same partition For the next option, use index entities that shop the next knowledge:
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Observe that to retrieve other Houses you must utilize the TryGetValue technique over the Properties home from the DynamicTableEntity class. A 3rd choice is to mix utilizing the DynamicTableEntity form and an EntityResolver instance. This allows you to take care of to numerous POCO varieties in the identical question.
The next designs and direction may additionally be suitable when implementing this pattern: Sooner or later dependable transactions sample Extensive entities pattern
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One example is, if you need to store a count of the quantity of IM messages despatched by Every employee for the last 365 days, you could potentially use the subsequent design that uses two entities with different useful source schemas:
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How you choose between these possibilities, and which of the benefits and drawbacks are most important, depends on your distinct software scenarios. For example, how frequently do you modify Office entities; do all your worker queries will need the additional departmental info; how shut have you been towards the scalability restrictions in your partitions or your storage account? One-to-one relationships