Pyspark Scenarios 4 : how to remove duplicate rows in pyspark dataframe #pyspark #Databricks #Azure

Pyspark Scenarios 4 : how to remove duplicate rows in pyspark dataframe
remove duplicates from dataframe keeping the last appearance
#pyspark
#AzureDataEngineer
#azuredatabricks
#PysparkSchenarios

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Complete Pyspark Real Time Scenarios Videos.

Pyspark Scenarios 1: How to create partition by month and year in pyspark
pyspark scenarios 2 : how to read variable number of columns data in pyspark dataframe #pyspark
Pyspark Scenarios 3 : how to skip first few rows from data file in pyspark
Pyspark Scenarios 4 : how to remove duplicate rows in pyspark dataframe #pyspark #Databricks
Pyspark Scenarios 5 : how read all files from nested folder in pySpark dataframe
Pyspark Scenarios 6 How to Get no of rows from each file in pyspark dataframe
Pyspark Scenarios 7 : how to get no of rows at each partition in pyspark dataframe
Pyspark Scenarios 8: How to add Sequence generated surrogate key as a column in dataframe.
Pyspark Scenarios 9 : How to get Individual column wise null records count
Pyspark Scenarios 10:Why we should not use crc32 for Surrogate Keys Generation?
Pyspark Scenarios 11 : how to handle double delimiter or multi delimiters in pyspark
Pyspark Scenarios 12 : how to get 53 week number years in pyspark extract 53rd week number in spark
Pyspark Scenarios 13 : how to handle complex json data file in pyspark
Pyspark Scenarios 14 : How to implement Multiprocessing in Azure Databricks
Pyspark Scenarios 15 : how to take table ddl backup in databricks
Pyspark Scenarios 16: Convert pyspark string to date format issue dd-mm-yy old format
Pyspark Scenarios 17 : How to handle duplicate column errors in delta table
Pyspark Scenarios 18 : How to Handle Bad Data in pyspark dataframe using pyspark schema
Pyspark Scenarios 19 : difference between #OrderBy #Sort and #sortWithinPartitions Transformations
Pyspark Scenarios 20 : difference between coalesce and repartition in pyspark #coalesce #repartition
Pyspark Scenarios 21 : Dynamically processing complex json file in pyspark #complexjson #databricks
Pyspark Scenarios 22 : How To create data files based on the number of rows in PySpark #pyspark

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[changeyourlife]

Do continue and cover all the scenarios, thanks for video

[organicoin]

I gave some long ans using SQL in an interview..this is simply superb!

[lokeswarreddyvalluru]

Excellent this is the Real Real Time Case . We want more like this

[MaheshReddyPeddaggari]

Very informative
Thanks for your effort

[venkatc]

Subscribed, after seeing first 5 min. Thank you for sharing information

[nirmalamadala]

Thanks Ravi very helpful for this videos

[alokgupta]

i was trying this for the first time and i was unable to create csv file. i was only getting one column. so i found out that i was missing one line.
first i had to create the file system and mount it to databricks root as below

once i executed this above line, then csv file was created successfully.

[mohitupadhayay]

Hi

You didn't mention about using groupBy() and count() method.

[harshalpatel]

first solution with orderby is not correct as when you do the order on updated date it will order on all the recs of that column but we want order by based on id partition.

[kailasbeesiniki]

How to change default data types in adb

[sankarapandimurugan]

Can anyone tell how you derived dbutils