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Anonymous
by Not applicable
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Resolved! Spark is not able to resolve the columns correctly when joins data frames

Hello all, I m using pyspark ( python 3.8) over spark3.0 on Databricks. When running this DataFrame join:next_df = days_currencies_matrix.alias('a').join( data_to_merge.alias('b') , [ days_currencies_matrix.dt == data_to_merge.RATE_DATE, days...

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Anonymous
Not applicable
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@Alessio Palma​ - Howdy! My name is Piper, and I'm a moderator for the community. Would you be happy to mark whichever answer solved your issue so other members may find the solution more quickly?

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