![]() Due to this behavior, the test logic also needs to perform well, scale with the service and have minimal overhead on the test client How to Test a Cached Map Service ? Generally speaking, requests for individual cache tiles are fast. ![]() This is due to the small sample of tile requests being used over and over again. Converting a HAR file of captured cache tile requests into a test might be quick and easy to do but does not show a realistic scalability of the service. ![]() The test logic should also be dynamic and cover a decent area of interest. Accounting for this real-world behavior of the cache service makes the test logic more complex than if it were exercising the export map function. Since the underlying cache scheme is using a grid design, the map extents of some pans or zooms may pull down more or less tile images than others. Cached Map Service Testing ChallengesĬompared to the load testing of the export map function, proper testing of a cached map service introduces several challenges as the request composition with each map screen changes. Note: Load testing cached map services can also be resource intensive on the test client workstation. While cached map services perform well, serving up thousands of simultaneous tile requests can be resource intensive on the server hardware. The cache service type is a proven technology, but there may still be requirements to test it under load to observe its scalability first hand on a specific deployment architecture. ![]() Cached map services are a popular and recommended way to provide a well performing presentation of static data. ![]()
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