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Tutorial Transform Data Spark Portal
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Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
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Bias Analysis

Detected Bias Types
powershell_heavy
missing_linux_example
windows_tools
Summary
The documentation page exhibits a Windows bias by requiring Azure PowerShell for setup, referencing only PowerShell installation instructions, and omitting any mention of Linux or cross-platform CLI alternatives (such as Azure CLI or azcopy) for uploading files or managing resources. No Linux shell or command-line examples are provided, and the prerequisites assume a Windows-centric toolchain.
Recommendations
  • Add instructions for using Azure CLI (az) to perform all setup steps, including uploading files to Blob storage and managing resources.
  • Include Linux/macOS shell command examples (e.g., using azcopy, curl, or Azure CLI) alongside or instead of PowerShell commands.
  • In the prerequisites, mention both Azure PowerShell and Azure CLI as supported options, with links to installation guides for each.
  • Explicitly state that all steps can be performed from Windows, Linux, or macOS, and provide parity in tooling and examples.
  • Where file uploads are discussed, provide sample commands for both PowerShell and Bash (using azcopy or Azure CLI).
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Scan History

Date Scan Status Result
2025-07-12 23:44 #41 cancelled Biased Biased
2025-07-12 00:58 #8 cancelled Clean Clean
2025-07-10 05:06 #7 processing Clean Clean

Flagged Code Snippets

    import sys
    from operator import add
    
    from pyspark.sql import SparkSession
    
    def main():
        spark = SparkSession\
            .builder\
            .appName("PythonWordCount")\
            .getOrCreate()
            
        lines = spark.read.text("wasbs://adftutorial@<storageaccountname>.blob.core.windows.net/spark/inputfiles/minecraftstory.txt").rdd.map(lambda r: r[0])
        counts = lines.flatMap(lambda x: x.split(' ')) \
            .map(lambda x: (x, 1)) \
            .reduceByKey(add)
        counts.saveAsTextFile("wasbs://adftutorial@<storageaccountname>.blob.core.windows.net/spark/outputfiles/wordcount")
        
        spark.stop()
    
    if __name__ == "__main__":
        main()