42. Greatest vs Max functions in pyspark | PySpark tutorial for beginners | #pyspark | #databricks

👉In this video, I discussed about how to use greatest and Max function in Azure Databricks PySpark.

#AzureDatabricksTutorial #AzureDatabricksforBeginners #MicrosoftAzureDatabricks #AzureDatabricks #LearnAzureDatabricks #WhatisAzureDatabricks #AzureDatabricksTraining #AzureDatabricksCourse #ssunitech

Create dataframe:
======================================================
-----------------------------------------------------------------------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------

-------------------------------------------------------------------------------------------------------------------

============================================================
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:

[gauravpratap]

In SQL max is an agg function, but you have not showcased here because you added the subjects marks and displayed the max of it. However if we use select * and then used max then do we need to use group by here in pyspark as well

[sravankumar]

Hi bro, I have one doubt when we are reading data from mongodb nested json using pyspark , I am getting error like converting failed stringtype to Integerype.. we defined custom schema like stringtype and field i am getting null value for particular column. In this column we have multiple arrays and struct but still we are getting null values. Can you please provide your inputs. I am waiting for your reply