How to create Schema Dynamically? | Databricks Tutorial | PySpark |

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#databricks #pyspark #schema #json
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hlw bro i am newly introduce to this playlist by searching "how to write csv file in pyspark" then i find u r playlist ....u r describe skills with demo code just wow ...love it bro ..big thanks for u

tanmaydash
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Hi - Thank you for the clear explanation in your videos. I have a question regarding reading data from SQL Server. In my schema, I have multiple data types that are not supported in PySpark. Do I need to specify all of those data types manually like how you converted "int" to "IntegerType" or is there an alternative approach bro

yadikirajesh
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Lets say tomorrow the file comes with few more added cols and it has to be handled, how do we do that ?

vinodnapa
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Hi bro I have one doubt inferschema detects schema automatically but here how it is changed year string, in the code u have given if(list_schema(i)(1)=="int"), here u gave integer but it comes string, listschema(i)=(listschema(i)(0), "integer"), could you please clarify my doubt

sravankumar
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Could you please tell me why we used metadata:{} . Will it not work if we don't give that

bhargaviakkineni
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last me inferschema karna hi para to dynamic schema kaha bana. ye wala video thoda sahi se explain nahi hua

BeingSam
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Can you provide the playlist number please

telugucartoonchannel
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What is the use of metadata here? also why inferSchema is used lastly in spite of using schema?

basudevdash
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Hi, this is not exactly dynamic schema allocation. Dynamic schema allocation shall happen without inferring schema.
Can you please update the video and code.

sandeepnagpure
welcome to shbcf.ru