GoogleCloudPlatform / terraform-google-analytics-lakehouse

Intro

For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.

Learn more...

Duplication Overall

20% duplication:

2,659 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
544 duplicated lines

241 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 50 longest duplicates.

See data for all 241 duplicates...

Size	#	Folders	Files	Lines	Code
18	x 2	src/yaml src/yaml	copy-data.yaml project-setup.yaml	30:47 (14%) 30:47 (42%)	view
17	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	136:152 (8%) 154:170 (8%)	view
15	x 2	ROOT ROOT	dataplex.tf versions.tf	1:15 (6%) 1:15 (31%)	view
15	x 2	ROOT ROOT	dataplex.tf dataproc.tf	1:15 (6%) 1:15 (22%)	view
15	x 2	ROOT ROOT	dataproc.tf main.tf	1:15 (22%) 1:15 (9%)	view
15	x 2	ROOT ROOT	versions.tf workflows.tf	1:15 (31%) 1:15 (12%)	view
15	x 2	ROOT ROOT	bigquery.tf variables.tf	1:15 (14%) 1:15 (30%)	view
15	x 2	ROOT ROOT	main.tf workflows.tf	1:15 (9%) 1:15 (12%)	view
15	x 2	ROOT ROOT	dataplex.tf main.tf	1:15 (6%) 1:15 (9%)	view
15	x 2	ROOT ROOT	bigquery.tf main.tf	1:15 (14%) 1:15 (9%)	view
15	x 2	ROOT ROOT	variables.tf versions.tf	1:15 (30%) 1:15 (31%)	view
15	x 2	ROOT ROOT	bigquery.tf dataplex.tf	1:15 (14%) 1:15 (6%)	view
15	x 2	ROOT ROOT	dataplex.tf workflows.tf	1:15 (6%) 1:15 (12%)	view
15	x 2	ROOT ROOT	dataproc.tf versions.tf	1:15 (22%) 1:15 (31%)	view
15	x 2	ROOT ROOT	dataproc.tf variables.tf	1:15 (22%) 1:15 (30%)	view
15	x 2	ROOT ROOT	main.tf variables.tf	1:15 (9%) 1:15 (30%)	view
15	x 2	ROOT ROOT	dataproc.tf workflows.tf	1:15 (22%) 1:15 (12%)	view
15	x 2	ROOT ROOT	dataplex.tf variables.tf	1:15 (6%) 1:15 (30%)	view
15	x 2	ROOT ROOT	bigquery.tf versions.tf	1:15 (14%) 1:15 (31%)	view
15	x 2	ROOT ROOT	bigquery.tf dataproc.tf	1:15 (14%) 1:15 (22%)	view
15	x 2	ROOT ROOT	bigquery.tf workflows.tf	1:15 (14%) 1:15 (12%)	view
15	x 2	ROOT ROOT	variables.tf workflows.tf	1:15 (30%) 1:15 (12%)	view
15	x 2	ROOT ROOT	main.tf versions.tf	1:15 (9%) 1:15 (31%)	view
13	x 2	ROOT ROOT	dataplex.tf outputs.tf	3:15 (5%) 3:15 (37%)	view
13	x 2	ROOT ROOT	dataproc.tf outputs.tf	3:15 (19%) 3:15 (37%)	view
13	x 2	ROOT ROOT	bigquery.tf outputs.tf	3:15 (12%) 3:15 (37%)	view
13	x 2	ROOT ROOT	workbench.tf workflows.tf	3:15 (18%) 3:15 (10%)	view
13	x 2	ROOT ROOT	outputs.tf versions.tf	3:15 (37%) 3:15 (27%)	view
13	x 2	ROOT ROOT	outputs.tf variables.tf	3:15 (37%) 3:15 (26%)	view
13	x 2	ROOT ROOT	bigquery.tf workbench.tf	3:15 (12%) 3:15 (18%)	view
13	x 2	ROOT ROOT	main.tf workbench.tf	3:15 (8%) 3:15 (18%)	view
13	x 2	ROOT ROOT	outputs.tf workbench.tf	3:15 (37%) 3:15 (18%)	view
13	x 2	ROOT ROOT	main.tf outputs.tf	3:15 (8%) 3:15 (37%)	view
13	x 2	ROOT ROOT	dataproc.tf workbench.tf	3:15 (19%) 3:15 (18%)	view
13	x 2	ROOT ROOT	variables.tf workbench.tf	3:15 (26%) 3:15 (18%)	view
13	x 2	ROOT ROOT	versions.tf workbench.tf	3:15 (27%) 3:15 (18%)	view
13	x 2	ROOT ROOT	dataplex.tf workbench.tf	3:15 (5%) 3:15 (18%)	view
13	x 2	ROOT ROOT	outputs.tf workflows.tf	3:15 (37%) 3:15 (10%)	view
11	x 2	src/ipynb src/ipynb	spark_langchain.ipynb spark_ml.ipynb	297:307 (3%) 688:698 (1%)	view
9	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	62:70 (4%) 127:135 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb spark_ml.ipynb	174:181 (4%) 281:288 (1%)	view
8	x 2	src/ipynb src/ipynb	spark_langchain.ipynb spark_ml.ipynb	62:69 (2%) 96:103 (1%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb spark_ml.ipynb	10:17 (4%) 281:288 (1%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	62:69 (4%) 163:170 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb spark_ml.ipynb	163:170 (4%) 656:663 (1%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	32:39 (4%) 52:59 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	32:39 (4%) 127:134 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	32:39 (4%) 62:69 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb exploratory-analysis.ipynb	62:69 (4%) 145:152 (4%)	view
8	x 2	src/ipynb src/ipynb	exploratory-analysis.ipynb spark_ml.ipynb	42:49 (4%) 656:663 (1%)	view