38. user defined function in pyspark | UDF(user defined function) in PySpark | Azure Databricks

Azure Databricks #spark #pyspark #azuredatabricks #azure
In this video, I discussed How to use user defined function (udf).

2. How to user defined function (udf) in pyspark

Create dataframe:
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data1=[(1,"Ram","Male",100),(2,"Radhe","Female",200),(3,"John","Male",250)]
data2=[(101,"John","Male",100),(102,"Joanne","Female",250),(103,"Smith","Male",250)]
data3=[(1001,"Maxwell","IT",200),(2,"MSD","HR",350),(3,"Virat","IT",300)]
schema1=["Id","Name","Gender","Salary"]
schema2=["Id","Name","Gender","Salary"]
schema3=["Id","Name","DeptName","Salary"]
display(df1)
display(df2)
display(df3)
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def schemacompare(df1,df2):
uniquecol=list(set(allcol))
for i in uniquecol:
return df1,df2
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df1,df2=schemacompare(df1,df3)
display(df1)
display(df2)
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37. schema comparison in pyspark | How to Compare Two DataFrames in PySpark | pyspark interview:

Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.

Azure Databricks Tutorial Platlist:

Azure data factory tutorial playlist:

ADF interview question & answer:

1. pyspark introduction | pyspark tutorial for beginners | pyspark tutorial for data engineers:

2. what is dataframe in pyspark | dataframe in azure databricks | pyspark tutorial for data engineer:

3. How to read write csv file in PySpark | Databricks Tutorial | pyspark tutorial for data engineer:

4. Different types of write modes in Dataframe using PySpark | pyspark tutorial for data engineers:

5. read data from parquet file in pyspark | write data to parquet file in pyspark:

6. datatypes in PySpark | pyspark data types | pyspark tutorial for beginners:

7. how to define the schema in pyspark | structtype & structfield in pyspark | Pyspark tutorial:

8. how to read CSV file using PySpark | How to read csv file with schema option in pyspark:

9. read json file in pyspark | read nested json file in pyspark | read multiline json file:

10. add, modify, rename and drop columns in dataframe | withcolumn and withcolumnrename in pyspark:

11. filter in pyspark | how to filter dataframe using like operator | like in pyspark:

12. startswith in pyspark | endswith in pyspark | contains in pyspark | pyspark tutorial:

13. isin in pyspark and not isin in pyspark | in and not in in pyspark | pyspark tutorial:

14. select in PySpark | alias in pyspark | azure Databricks #spark #pyspark #azuredatabricks #azure

15. when in pyspark | otherwise in pyspark | alias in pyspark | case statement in pyspark:

16. Null handling in pySpark DataFrame | isNull function in pyspark | isNotNull function in pyspark:

17. fill() & fillna() functions in PySpark | how to replace null values in pyspark | Azure Databrick:

18. GroupBy function in PySpark | agg function in pyspark | aggregate function in pyspark:

19. count function in pyspark | countDistinct function in pyspark | pyspark tutorial for beginners:

20. orderBy in pyspark | sort in pyspark | difference between orderby and sort in pyspark:

21. distinct and dropduplicates in pyspark | how to remove duplicate in pyspark | pyspark tutorial:

[goluSingh-suxs]

Superb explanation, loved watching this video