32.explode in pyspark | explode_outer in pyspark | posexplode & posexplode_outer in pyspark

Azure Databricks #spark #pyspark #azuredatabricks #azure
In this video, I discussed how to use explode, explode_outer, posexplode, posexplode_outer functions in pyspark.

1. explode in pyspark
2. explode_outer function in pyspark
3. posexplode function in pyspark
4. posexplode_outer function in pyspark

Create dataframe:
======================================================
data = [
("Susheel,,Singh",["ADF","Scala","Pyspark"],["Pyspark","ADF"],"OH","CA"),
("Virat,,Kohli",["ADF","SQL","Pyspark"],["ADF","SQL"],"NY","NJ"),
("K,L,Rahul",[],["SQL","SSIS"],"UT","NV")
]
schema = StructType([
StructField("name",StringType(),True),
StructField("skills",ArrayType(StringType()),True),
StructField("workprofile",ArrayType(StringType()),True),
StructField("currentState", StringType(), True),
StructField("previousState", StringType(), True)
])
display(df)
-----------------------------------------------------------------------------------------------------------------------
display(df1)
---------------------------------------------------------------------------------------------------------------------
display(df1)
============================================================

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:

[anithaanitha-gb]

Thank you so much sir, it is very help to me