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What could be the reason for the code "dfR = spark.read.format("csv").option("mode", "FAILFAST").option("header","true").schema(sch).load(fileName)" not functioning properly?

asked 2022-10-24 11:00:00 +0000

qstack gravatar image

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answered 2021-05-26 23:00:00 +0000

david gravatar image

There could be various reasons for the code not functioning properly such as:

  1. Incorrect file path: The fileName might be incorrect or pointing to a non-existent file.

  2. Incorrect file type: The file format might not be csv, which could cause issues during reading.

  3. Invalid schema: The schema provided might not match the columns in the csv file.

  4. Insufficient file permissions: The user might not have sufficient permissions to access or read the file.

  5. Resource limitations: The cluster resources might be insufficient to read the file, causing the job to fail.

  6. Encoding issues: The file might be encoded in a format that is not supported by the spark.read function.

  7. Network connectivity issues: If the file is located on a remote server, there might be network connectivity issues that could cause the job to fail.

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Asked: 2022-10-24 11:00:00 +0000

Seen: 7 times

Last updated: May 26 '21