Pyspark Advanced interview questions part 1 #Databricks #PysparkInterviewQuestions #DeltaLake

Pyspark Advanced interview questions part 1

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PySpark Interview Questions and Answers for beginners and experts. List of frequently asked PySpark Interview Questions with Answers by Besant Technologies. We hope these PySpark Interview Questions and Answers are useful and will help you to get the best job in the networking industry. This PySpark interview questions and answers are prepared by PySpark Professionals based on MNC Companies’ expectations. Stay tune we will update New PySpark Interview questions with Answers Frequently
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[abhilash]

Bro bring more real-time interview questions like these thank you so much !

[saachinileshpatil]

Thanks for sharing 👍, very informative

[vedanthasm]

One of the best explanation. Bro..Please make more videos on Pyspark

[sjitghosh]

You are doing an excellent work. Helping a lot!!

[janardhanreddy]

nice explanation, please attach csv file or json in description to practice

[seshuseshu]

Very good detailed explanation, thanks for your efforts, keep continue ..

[janardhanreddy]

please upload all pyspark interview questions videos

[achintamondal]

Awesome video.
Could you please share the notebook, it will really help.

[akashpb]

Awesome video... Cleared my doubts 👍👍👍

[nsrchndshkh]

Thanks Man. This was some detailed explanation. Kudos

[rajanib]

can you pleaae explain how did spark filter those 2 colums as bad data? I don't see any where condition mentioned for the corrupt column

[balajia]

seems querying _corrupt_record is not working. I tried it today and not allowing me to query with the column is not null"). AnalysisException: Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the
referenced columns only include the internal corrupt record column
(named _corrupt_record by default). For example:

and
Instead, you can cache or save the parsed results and then send the same query.
For example, val df = and then

[johnsonrajendran]

are any such mode options available while reading parquet files?

[balajia]

is working but not allowing is null or not null. is null").show(). let me know if this is working for you. thank you.

[balajia]

root
|-- cust_id: integer (nullable = true)
|-- cust_name: string (nullable = true)
|-- manager: string (nullable = true)
|-- city: string (nullable = true)
|-- phno: long (nullable = true)
|-- _corrupt_record: string (nullable = true) . is not null")). FileReadException: Error while reading file
Caused by: IllegalArgumentException: _corrupt_record does not exist. Available: cust_id, cust_name, manager, city, phno

[srikanthbachina]

Hi pls share ur contact details I am looking for python, pyspark, databricks training