Pyspark Scenarios 13 : how to handle complex json data file in pyspark #pyspark #databricks

Pyspark Scenarios 13 : how to handle complex json data file in pyspark #pyspark #databricks
Pyspark Interview question
Pyspark Scenario Based Interview Questions
Pyspark Scenario Based Questions
Scenario Based Questions
#PysparkScenarioBasedInterviewQuestions
#ScenarioBasedInterviewQuestions
#PysparkInterviewQuestions
notebook location:

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


pyspark sql
pyspark
hive
which
databricks
apache spark
sql server
spark sql functions
spark interview questions
sql interview questions
spark sql interview questions
spark sql tutorial
spark architecture
coalesce in sql
hadoop vs spark
window function in sql
which role is most likely to use azure data factory to define a data pipeline for an etl process?
what is data warehouse
broadcast variable in spark
pyspark documentation
apache spark architecture
google colab
case class in scala

RISING
which role is most likely to use azure data factory to define a data pipeline for an etl process?
broadcast variable in spark
which one of the following tasks is the responsibility of a database administrator?
google colab
case class in scala
pyspark documentation
spark architecture
window function in sql
which single service would you use to implement data pipelines, sql analytics, and spark analytics?
apache spark architecture
hadoop vs spark
spark interview questions
databricks,
azure databricks,
databricks tutorial,
databricks tutorial for beginners,
azure databricks tutorial,
what is databricks,
azure databricks tutorial for beginners,
databricks interview questions,
databricks certification,
delta live tables databricks,
databricks sql,
databricks data engineering associate,
pyspark databricks tutorial,
databricks azure,
delta lake databricks,
snowflake vs databricks,
azure databricks interview questions,
databricks lakehouse fundamentals,
databricks vs snowflake,
databricks pyspark tutorial,
wafastudies databricks,
delta table in databricks,
raja data engineering databricks,
databricks unity catalog,
wafastudies azure databricks,
unity catalog azure databricks,
delta lake,
delta lake databricks,
how to get delta in red lake,
delta sleep lake sprinkle sprankle,

[anubhavoberoy]

Excellent tutorial, looking forward to many more scenario based questions. Thanks a lot :)

[varun]

Super bro, looking forward for next json tutorial

[omglucky]

hi, can you increase video quality: 360p only current video -> increase to 720p, 1080p for better visibility.

[ak]

Very good tutorial! Can you please show how to 1. extract json schema file from data frame and 2. load complex json files based on json schema file? Thanks!

[amanpal]

Hi, thanks for the video. In my case my nested struct type column does not contain any nested array type column instead it contains nested struct type. Is there any other way I could use?

[shreyaspatil]

Thanks very much for the tutorial :), I have a query regarding reading in json files.

so i have an array of structs where each struct has a different structure/schema.
And based on a certain property value of struct I apply filter to get that nested struct, however when I display using printschema it contains fields that do not belong to that object but are somehow being associated with the object from the schema of other structs, how can i possibly fix this issue ?

[shubhamaggarwal]

Nice Explanation with good example. Can you please give the video link, that you were talking about, dynamically add columns?

[saiveeramalla]

Can you try it dynamically..like if the schema is changing is constantly and without mentioning the column names and all, dynamically parse it

[thebossismael]

Muchas gracias amigo, me sirvió de mucho.
1)existen en un json datos vacios y quisiera que no aparecieran.
2) Cómo hacer para que en un json me cargue las columnas por defecto y no me agregue el nombre de la columna principal sino el el nombre solo

[rockuevr]

great ..did you upload the dynamically exploding one? not able to locate

How to extract if it is JSON object. This works only for array. Any idea?

[RD-stvk]

Can u show how to create this multiline json file from table

[srikanthpatil]

Can I add a column in nested json array??