9. read json file in pyspark | read nested json file in pyspark | read multiline json file
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- Опубликовано: 28 апр 2023
- In this video, I discussed about how to read data from json file to dataframe in pyspark.
1. How to read data from single line json file to dataframe in pyspark
2. How to read data from multiline line json file to dataframe in pyspark
3. How to read data from complex (nested) single line json file to dataframe in pyspark
4. How to read data from complex (nested) multiline json file to dataframe in pyspark
5. how to handle complex json data file in pyspark
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Superb
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Superb video, all information for json in this video
Thanks 🙏
Very helpful video, love to watch all these videos.
Thanks for your appreciation
Fantastic!
Thanks
Beautiful explanation!! u earned a new subscriber
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Please share to others
Sure
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thenks
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Please share to others
Nice😊
Thanks 🙏
How to read a data which is retrieve from a API and start with [ ]
This is array type data, you can use explode function for reading data from array. Please refer part 30 of Pyspark playlist.
Thanks
How to create schema nested array column
We can use nested structtype and structfields.
If anyone want to create a new column with those array value under address, then we will use explode() function
I have uploaded a video on all about columns, how to add, rename, modify, drop any columns.
sir, how to add city and state in seperate columns of dataframe in NML and NSL type json?
Will upload video on this soon.
ur remaining videos are not visible all are hidden, plz make it remaining videos also visible
All videos are visible now
Can you upload remaining videos ?
Uploading videos regularly 👍
instead of single ,multi line can we use 'header',True
Header True is different property, single/multi line is the property of json. We have to use it