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Azure CosmosDB SQL-API

The Azure CosmosDB is a product of Microsoft, available in the Azure Cloud. The connection information for the CosmosDB can be obtained, e.g. from the explorer interface.

inet_persistence="AccountEndpoint=<CosmosDB Server>;AccountKey=<Account Key>;DatabaseName=<Database Name>"
  • CosmosDB Server - Server Connection URL, including port, e.g. https://cosmos.company.com:8081/
  • Account Key - the private key required to authenticate against the server
  • Database Name - a non-standard property to indicate a database name

Note: When using the CosmosDB persistence in a docker container, please also define the environment property DEFAULT_CONFIG=System/Default. A cloud-based persistence requires the configuration to be stored in a system scope.

Installation

Using the CosmosDB persistence requires additional components to be installed into the plugins/persistence subfolder of the installation. There are pre-made Docker containers in case of a containerized usage.

If the respective files do not yet exist, you have to download them from the public maven repository at:

The CosmosDB driver package has to be extracted into the plugins/persistence subfolder. The persistence main jar has to be saved into this directory without extracting it.

Note: You have to navigate and download the version matching your installation.

Note: In addition to the released version, there may be beta versions available: Persistence beta version, CosmosDB beta version package

Memory Usage Considerations

The following numbers will allow getting an insight on how much memory is required:

Component Memory used Comment
Configuration 50KB
Event log unknown Event log is fixed to 30 days of event data
User Metadata 10K per User mostly depends on the Avatar size
User Data (uploaded files) Size of compared documents x 3 (for result) Depends on the quota

An Azure CosmosDB database will be created with about a dozen container subsets. The commonly used subset is files.

i-net PDFC does not continuously use data - but rather has high peek values when uploading and downloading files and re-indexing caches. The actual data throughput very much depends on the user behaviour as well.

That is why we tend to recommend either using a serverless CosmosDB account or an automatic scaling mode rather than a fixed RU/s mode.

Additional information about Azur CosmosDB pricing can be found here: https://azure.microsoft.com/en-us/pricing/details/cosmos-db/

i-net PDFC
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Help - Azure CosmosDB SQL-API