110. Databricks | Pyspark| Spark Reader: Reading Fixed Length Text File

Azure Databricks Learning: Spark Reader: Reading Fixed Length Text File

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Spark Reader is one of basic and widely used concept in Spark development. In this video I have covered how to read text file and create Dataframe out of it. I used a fixed length text file for this exercise and splitted the fixed length records into multiple columns

To get thorough understanding of this concept, watch this video

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[thepakcolapcar]

nice and very explainatory
I have a requirement to write to a text file, with fixed width column sizes, and no separators. I tried finding documentation specific to this scenario but could find one. If you can create a video on it that would be great

[AshokKumar-jics]

Awesome content i have implemented the same in daflows but never implemented in pyspark. I really appreciate your efforts

[sharmadtadkodkar]

Do you have a video showing how to attach a file to databricks filestore?

[ylast]

how do we deal with non-fixed length txt files?

[dasarikrishnaprasad]

Can we do this process if we have above 300 columns

[akshaybhadane]

Hello Sir, great content.
Can you provide your inputs on how to write fixed width file.
Thanks in advance.

[manjunathbn]

Sir, Can you please upload on Delta Lake end to end project?

[kumarvummadi]

Good morning sir excellent video. Could you please make a video for reading a csv file by skipping the first 4 rows in the file. Requesting you sir please