opensearch-project / data-prepper
Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.
Summary
  |
|||
| Main Code: 13,355 LOC (247 files) = JAVA (95%) + YAML (3%) + G4 (<1%) + YML (<1%) Secondary code: Test: 18,320 LOC (225); Generated: 0 LOC (0); Build & Deploy: 1,785 LOC (42); Other: 7,652 LOC (127); |
|||
| Duplication: 4% | |||
| File Size: 0% long (>1000 LOC), 79% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 74% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 86% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (27 components) | ||
|
|
1 year, 5 months old
|
||
|
|
0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
34 files |
|||
Latest commit date: 2022-01-29
|
51
commits
(30 days)
11
contributors
(30 days) |
|