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In this video, I discussed PySpark scenario based interview questions and answers.
PySpark advanced interview questions answers?
databricks interview questions and answers?
Create dataframe:
======================================================
data1=[(1,"Steve"),(2,"David"),(3,"John"),(4,"Shree"),(5,"Helen")]
data2=[(1,"SQL",90),(1,"PySpark",100),(2,"SQL",70),(2,"PySpark",60),(3,"SQL",30),(3,"PySpark",20),(4,"SQL",50),(4,"PySpark",50),(5,"SQL",45),(5,"PySpark",45)]
schema1=["Id","Name"]
schema2=["Id","Subject","Mark"]
df1=spark.createDataFrame(data1,schema1)
df2=spark.createDataFrame(data2,schema2)
display(df1)
display(df2)
-----------------------------------------------------------------------------------------------------------------------
df_join=df1.join(df2,df1.Id==df2.Id).drop(df2.Id)
display(df_join)
---------------------------------------------------------------------------------------------------------------------
from pyspark.sql.functions import *
df_per=df_join.groupBy('Id','Name').agg(
(sum('Mark')/count('*')).alias('Percentage')
)
display(df_per)
-------------------------------------------------------------------------------------------------------------------
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37. schema comparison in pyspark | How to Compare Two DataFrames in PySpark | pyspark interview:
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Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.
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