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9. How to resolve ambiguous error while joining two data frames on key column | PySpark PART 09

Interview Question: Suppose you have two data frame df1 and df2 , both have below columns :- df1: id, name, mobno df2 : id, pincode, address, city After joining both the dataframe on the basis of key i.e id, while selecting id,name,mobno,pincode, address, city and you are getting an error ambiguous column id. How would you resolve it ? #pyspark #databricks #pysparkinterviewquestions #interviewquestions #Databricks, #DatabricksTutorial, #AzureDatabricks #Spark #AzureDatabricks #AzureADF #Databricks #LearnPyspark #LearnDataBRicks #DataBricksTutorial databricks spark tutorial databricks tutorial databricks azure databricks notebook tutorial databricks delta lake databricks azure tutorial, Databricks Tutorial for beginners, azure Databricks tutorial databricks tutorial, databricks community edition, databricks community edition cluster creation, databricks community edition tutorial databricks community edition pyspark databricks community edition cluster databricks pyspark tutorial databricks community edition tutorial databricks spark certification databricks cli databricks tutorial for beginners databricks interview questions databricks azure Linkedin :   / anuganti-suresh-9aa17822   1 Subscriber, 1👍🏻, 1Comment = 100 Motivation 🙏🏼 🙏🏻Please Subscribe 🙏🏼 #pyspark #databricks #tutorial #realtimescenarios #@AzureADB

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