13. ArrayType Columns in PySpark | #AzureDatabricks #PySpark #Spark #Azure

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In this video, I discussed about ArrayType column in PySpark.

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Комментарии
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Sir great lecture. You are helping us alot with your knowledge.

prasanthiavula
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sir, i just noted that what you had taught, jus works well for schema=['id'..] syntax, where in column containing arrays is of array type, but when a proper schema is being provided, in that case the column type will be of Struct type so in that case df = df.withColumn('col_name', df.col_name[0]) does not works...df = df.withColumn('col_name', df.col_name.nested_col_name) works.

dolla_shrey
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Nice work I really like your video... a very good explanation.

harithaSingidi
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Please share the ppt u are showing in the videos

MithunKumar-uwn
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Do you know the reason why don't you get more views, likes, and subscribers, only because of your not uploading the videos regularly with a less gap. Please make sure to upload early. Thank u brother.

dugginenivenkatasubbaiah