Data Input and Output: Save a Snapshot
Explore methods to save snapshots of your work in Pandas and PySpark to avoid rerunning code and improve efficiency. Understand how to create unique snapshot paths, save data in formats like JSON and Parquet, and optimize PySpark data output using partitioning and sorting for faster processing.
We'll cover the following...
While working in our day-to-day lives, we might not be able to finish an entire project by the end of the day. It can be really tedious when we have to re-run all the code from yesterday to get started. To counter this problem, we can create a snapshot of our current work which saves us valuable time when dealing with big data.
We create separate directories for screenshots for pandas and Pyspark.
We use the command below to create a directory for screenshots for pandas:
mkdir -p data/snapshot/pandas
We use the ...