aws / sagemaker-feature-store-spark
Components

An overview of source code logical components.

Intro

Logical decomposition is a representation of the organization of the main source code, where every and each file is put in exactly one logical component.

Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure at level 1 (relative to the source code root).

Bubble Chart | Tree Map
Component Sizes (Lines of Code)
The "primary" logical decomposition has 2 components.
  • 21 files, 1,150 LOC (62.9% vs. main code).
  • "scala-spark-sdk" is biggest, containing 72.17% of LOC.
  • "pyspark-sdk" is smallest, containing 27.83% of LOC.


scala-spark-sdk830 LOC (45%) 12 files
pyspark-sdk320 LOC (17%) 9 files
Component Commits
Components ordered by number of commits
Total Commits per Component
All commits, some commits may include files from multiple components.
scala-spark-sdk14 commits (31%)
pyspark-sdk13 commits (29%)
Yearly File Updates Trend per Components
The number of file changes in commits
animated commit history: all time cumulative | 12 months window
2025 2024 2023 2022 2021
scala-spark-sdk
1
4
15
25
pyspark-sdk
2
6
26


Dependencies between components in same commits (past 180 days)
The number on the lines shows the number of shared commits.
See detailed temporal dependencies report...

No temporal dependencies found.



2025-05-04 00:37