【Spark】What is the difference between Input and Shuffle Read

Spark调参过程中
保持每个task的 input + shuffle read 量在300-500M左右比较合适

The Spark UI is documented here: https://spark.apache.org/docs/3.0.1/web-ui.html

The relevant paragraph reads:

• Input: Bytes read from storage in this stage
• Output: Bytes written in storage in this stage
• Shuffle read: Total shuffle bytes and records read, includes both data read locally and data read from remote executors
• Shuffle write: Bytes and records written to disk in order to be read by a shuffle in a future stage