Azure Cosmos DB
Have feedback for Azure Cosmos DB product? Submit your idea here or upvote other ideas. All feedback is monitored and reviewed by the Azure Cosmos DB team.
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Please use the following categories when submitting your idea.
Gremlin API: Graph features and capabilities using Gremlin API.
MongoDB API: Features and capabilities using MongoDB API.
Table API: Features and capabilities using Table API.
Etcd API: Features related to using etcd as a configuration store for Kubernetes.
Built-in Notebooks: Features related to built-in Notebooks in Azure Cosmos DB.
SDK: Features related to Azure Cosmos DB SDKs for SQL API.
Change Feed: Features related to Change Feed.
Management: All management features, backup/restore,monitoring, ARM, PowerShell and CLI.
Portal: All features for Azure Portal and Cosmos DB Explorer.
Emulator: Features related to the Azure Cosmos Emulator.
Other: Features not related to any other category.
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Compress stored data
Please compress data in place for more efficient use of storage.
For example, I recently exported the entire dataset from a collection and gathered the following stats:
DocumentDB Data Storage: 627 MiB (including hidden fields and other overhead I assume, but not Indexes)
Exported JSON: 461.72 MiB
Compressed JSON: 47MiBSo potentially a 10x saving in data storage size.
111 votesWe’re evaluating more compressed storage formats. Meanwhile, please consider using a client-side compression library for encoding fields/JSON fragments that are not used for querying.
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