Guidelines for creating data source types

Contributors

You must be aware of the guidelines for creating data source types that are used to define custom data sources for OnCommand Workflow Automation (WFA).

You can define a data source type by using one of the following methods:

  • SQL: You can use the WFA SQL guidelines to define select queries from data sources based on an external database.

  • SCRIPT: You can write a PowerShell script that provides the data for a specific scheme of dictionary entries.

The guidelines for creating data source types are as follows:

  • You should use PowerShell language must be used to create script.

  • The PowerShell script should provide the output for each dictionary entry in its current working directory.

  • The data files should be named dictionary_entry.csv, where the name of the dictionary entry should be in lower-case characters.

    The predefined data source type that collects information from Performance Advisor uses a SCRIPT-based data source type. The output files are named array_performance.csv and aggregate_performance.csv.

  • The .csv file should include the content in the exact order as that of the dictionary entry attributes.

    A dictionary entry includes attributes in the following order: array_ip, date, day, hour, cpu_busy, total_ops_per_sec, disk_throughput_per_sec.

    The PowerShell script adds data to the .csv file in the same order.

    $values = get-Array-CounterValueString ([REF]$data)
    Add-Content $arrayFile ([byte[]][char[]] "\N t$arrayIP't$date't$day't$hour't$values'n")
  • You should use Encoding to ensure that the data output from the script is loaded into the WFA cache accurately.

  • You should use \N while entering a Null value in the .csv file.