Create DataFrame from Nested JSON File in PySpark 3.0 on Colab | Part 5 | Data Making|DM| DataMaking

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#pyspark #google colab #python #apache spark #dataframe #nested json

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Thank you Sir, saved lot of time..Best wishes

pragukp

Best tutorial video on this topic. Thanks sir

diddyanyi

Sir Thank you for that video that saved me a lot of time .... I am looking forward for your upcoming videos

ericarnaud

thank u very helpful video for JSON parsing in pyspark...:)

faiyazmohammed

ERROR
--
No such struct field DGraph in DGraph.Bins, DisplayOrder, SourceId, catKey, leafNodeId, localTitle, parent
--
df = df.select(column_list) -- this line is failing

biswadeeppatra

This code is giving Analysis exception when i ran for 1gb file.It is not creating new column for flattened row. Still working on that.Need help.

kavyayadav

what if i have numerous json files in a folder and want to run it ?

durgemi

sir where this json flattening script i didnt found in your git repos

Ravi-guww

Hi Sir,
Thanks for this tutorial, this has helped me a lot.
This code is working for most of the JSON files I am trying to read into a dataframe, however for one huge file, even though the KEYS are getting converted into columns but the final dataframe is blank. The main dataframe which I am passing to the parser function - read_nested_json has more than 10lakh records and around 300 KEYS, the flattened Dataframe too has more than 300 columns but the there is no data getting loaded. Since there is no error being shown, I unable to trace the exact reason behind this issue.
Could you please help?

nikhilmithole

Thank you! but how can I export/download the dataframe obtained?

sarasfantasyworld

do you know how to make header on dataframe?? and it is horizontal. horizontal->vertical and add header

puggyk

Nice content. Can we apply same logic on xml file parsing?

yaniv

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