Validation in Spark

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Let's say you have created a partition for Hyderabad but you loaded Chennai data, what are the validation to prevent this?

Feb 19 in Big Data Hadoop by Jisha
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1 answer to this question.

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This can be prevented if you use dynamic partition instead of static partition as in dynamic partitioning you can never load wrong data as it loads the partition from the column data itself.

answered Feb 19 by Omkar
• 67,120 points

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