Spark Interview Question | Scenario Based | Multi Delimiter | Using Spark with Scala | LearntoSpark

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In this Video, we will learn how to handle the multi-delimited file using Spark with Scala. We already saw this scenario being handled by PySpark. Hope this video will be useful for Spark Interview preparation.

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  1. Azarudeen Shahul
  2. Spark Interview Question
  3. Spark
  4. Multiple delimiter
  5. Spark with Scala
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Комментарии
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It's really very much helpful. Keep doing these scenario based spark scala interview questions. Thanks

deepakkumarmuduli
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spark 3.0 supports multi delimiters...version prior to 3 support only single charcater as delimiter

vigneshwarank
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Hi Azarudeen. I have done this example but when I split based on \t, for me in the output of dataframe \t as a string is getting displayed. But for you, I could see that in the output of dataframe \t was not displaying as string. Could you please help me understand the difference.

heenagirdher
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U could have directly used ~| as deliminator in options itself na, why did you first changed it to tab then used tab as deliminator in options

sachinlidhu
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Can please provide the like how you handdled in Pyspark

neetusinghthakur