Core Functionality Breakdown
1. Data Structure Support
| Data Type | Processing Method | Output Format |
|---|---|---|
| Array | Iterates through each element (in index order or random order) | New array (collection of processed elements) |
| Object | Iterates through each key-value pair (property-level processing) | New object (restructured key-value pairs) |
2. Processing Modes
| Mode | Execution Method | Applicable Scenarios |
|---|---|---|
| Sequential | Executes in sequence | Tasks with strong data dependencies or resource-sensitive tasks |
| Parallel | Multi-threaded concurrency (configurable concurrency level) | I/O-intensive tasks or independent element processing tasks |
3. Error Handling Strategies
| Strategy | Behavior Description | Data Integrity Assurance |
|---|---|---|
| Abort on Error | Stops the process immediately and throws an exception | High requirement for full data consistency |
| Ignore Errors | Skips errored items, retains original data | Allows partial failure, logs errors |
| Remove Failed Results | Automatically filters out failed items, outputs valid result set | Prioritizes result usability |
Best Practice Guide
Mode Selection Recommendations
-
Prioritize Parallel Processing when:
- Element processing logic has no state dependencies
- External APIs/services have high availability
- There are explicit concurrency limits (e.g., database connection pools)
-
Use Sequential Processing when:
- Processing order must be maintained (e.g., time-series data)
- Involves transactional operations (e.g., database writes)
- The process consumes significant computational resources