A system administrator is debugging the CAS environment. They have a list of session UUIDs from a logging system, but one of them may correspond to a session that has crashed or was already terminated. The administrator needs to gracefully handle attempts to query invalid sessions without crashin...
A marketing team needs to analyze new customer campaign data stored in a CSV file within an Amazon S3 bucket. The goal is to create a session-scoped caslib to load and analyze this data without making it permanently available to other users on the CAS server.
A data engineering team is establishing a central data lake on a Distributed Network File System (DNFS). The caslib must be global (not session-scoped), persistent, and provide access to a deep, partitioned directory structure containing sensor data from thousands of IoT devices.
A financial institution maintains a centrally managed, large set of formats for categorizing transaction risk. This library must be available to all data scientists and analysts across all CAS sessions for consistency. An administrator is responsible for updating this library daily. This scenario...
A data science team maintains a central CAS library ('ds_project_lib') containing custom-built action sets for recurring analyses (e.g., feature engineering, model validation). A new team member needs to configure their CAS session to access these shared tools.
A junior analyst is writing a setup script to configure their environment but makes some errors, such as referencing a non-existent caslib and adding the same valid path twice. The test ensures the CAS server handles these errors gracefully without crashing the session.
A marketing analyst needs to run a complex customer segmentation analysis (using the `fastknn` action) which takes a considerable amount of time. They want to start the job, disconnect their client session to work on other tasks, and retrieve the results later once the analysis is complete. This ...
A bioinformatics research institute is processing massive genomic datasets. A researcher initiates a heavy aggregation (`simple.summary`) on a table with hundreds of millions of rows. The process is expected to run for several hours. The goal is to ensure that `batchresults` can successfully deta...
A financial institution's QA team is validating the stability of their CAS environment. They need to ensure that the `batchresults` action behaves predictably and provides clear error messages when used incorrectly, such as with invalid parameters or on sessions in an inappropriate state. This pr...
The system processes legacy data archives where some scan metadata might be corrupted or parameters might be entered incorrectly (e.g., Low threshold > High threshold). The pipeline must handle these errors gracefully without crashing the CAS session.