20. StructType & StructField in PySpark | Pyspark Tutorial скачать в хорошем качестве

20. StructType & StructField in PySpark | Pyspark Tutorial

#spark #pyspark #dataengineering In this video, I discussed about StructType() and StructFiled() Classes to create schema for dataframe. The StructType and StructField classes in PySpark are used to specify the custom schema to the DataFrame and create complex columns like nested struct, array, and map columns. StructType is a collection of StructField objects that define column name, column data type, boolean to specify if the field can be nullable or not, and metadata. Want more similar videos- hit like, comment, share and subscribe ❤️Do Like, Share and Comment ❤️ ❤️ Like Aim 5000 likes! ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Please like & share the video. ➖➖➖➖➖➖➖➖➖➖➖➖➖ dataset data = [(1,'manish','usa'),(2,'mani','usa'),(1,'nish','usa')] ➖➖➖➖➖➖➖➖➖➖➖➖➖ AWS DATA ENGINEER :    • AWS DATA ENGINEER   Azure data factory :    • Azure Data Factory   Azure data engineer playlist :    • Azure Data Engineer   SQL PLAYLIST :    • SQL playlist   PYSPARK PLAYLIST -    • Pyspark Tutorial   ➖➖➖➖➖➖➖➖➖➖➖➖➖ 📣Want to connect with me? Check out these links:📣 Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1 ➖➖➖➖➖➖➖➖➖➖➖➖➖ what we have covered in this video: ➖➖➖➖➖➖➖➖➖➖➖➖➖ Hope you liked this video and learned something new :) See you in next video, until then Bye-Bye! ➖➖➖➖➖➖➖➖➖➖➖➖➖