12. how partition works internally in PySpark | partition by pyspark interview q & a | #pyspark

how partition works internally in Apache Spark? PySpark interview q & a? Databricks interview question and answers? #Databricks #PysparkInterviewQuestions #deltalake Azure Databricks #spark #pyspark #azuredatabricks #azure In this video, I discussed one of MNC's PySpark scenario based interview questions and answers. how partition works internally in PySpark? how to choose correct column for partition in pyspark? 10. How to load only correct records in pyspark | How to Handle Bad Data in pyspark #pyspark :    • 10. How to load only correct records in py...   Create dataframe: ====================================================== df=spark.read.option('header',True).format('csv').load('/mnt/input/partition/salesep.csv') df.count() display(df) ----------------------------------------------------------------------------------------------------------------------- df.rdd.getNumPartitions() --------------------------------------------------------------------------------------------------------------------- df.write.mode('overwrite').partitionBy('Item Code').csv('/mnt/input/partition/salesep_part.csv') ------------------------------------------------------------------------------------------------------------------- df2=spark.read.option('header',True).csv('/mnt/input/partition/salesep_part.csv') df2.rdd.getNumPartitions() ------------------------------------------------------------------------------------------------------------------- df2=df2.repartition(100) ------------------------------------------------------------------------------------------------------------------- df2.rdd.getNumPartitions() ------------------------------------------------------------------------------------------------------------------- df2.write.mode('overwrite').option('header',True).csv('/mnt/input/partition/salesep_repart.csv') ============================================================ Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning. Azure data factory tutorial playlist:    • Azure Data factory (adf)   ADF interview question & answer:    • adf interview questions and answers for ex...   1. pyspark introduction | pyspark tutorial for beginners | pyspark tutorial for data engineers:    • 1. pyspark introduction | pyspark tutorial...   2. what is dataframe in pyspark | dataframe in azure databricks | pyspark tutorial for data engineer:    • 2. what is dataframe in pyspark | datafram...   3. How to read write csv file in PySpark | Databricks Tutorial | pyspark tutorial for data engineer:    • 3. How to read write csv file in PySpark |...   4. 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