Introduction to ???Partition??? in ???Apache Spark???

What is the “Importance” of “Partition”?

“Apache Spark” is known for its “Speed”. The “Fast Speed” of “Computing” comes from the “Parallel Processing”.
“Partition” is the “Key” for “Parallel Processing”.
If the “Data”, to work with, is “Partitioned” in a “Proper Way” then the “Query Performance” on that “Data” would be “Improved” as the “Parallel Processing” will be “Triggered” “Effectively”.
If the “Data”, to work with, is “Not Partitioned” in a “Proper Way” then the “Distributed Framework” of “Apache Spark” is “Not” being used “Effectively”.
So, “Partition” plays an “Important Role” in the following -
1. Performance Improvement
2. Error Handling
3. Debugging

Introduction to ???Partition??? in ???Apache Spark???