apache / spark-connect-goConditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

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Conditional Complexity Overall

There are 68 units with 1,247 lines of code in units (84.3% of code).

0 very complex units (0 lines of code)
1 complex units (80 lines of code)
8 medium complex units (481 lines of code)
4 simple units (134 lines of code)
55 very simple units (552 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
func readArrowRecordColumn() in client/sql/dataframe.go	80	29	3
func main() in cmd/spark-connect-example-spark-session/main.go	110	22	0
def resolve_jira_issue() in merge_connect_go_pr.py	75	18	3
def main() in merge_connect_go_pr.py	101	15	0
func convertProtoDataTypeToDataType() in client/sql/dataframe.go	34	14	1
func NewBuilder() in client/channel/channel.go	46	13	1
def standardize_jira_ref() in merge_connect_go_pr.py	19	12	1
def merge_pr() in merge_connect_go_pr.py	62	11	5
def choose_jira_assignee() in merge_connect_go_pr.py	34	11	2
func() in client/sql/dataframe.go	36	9	1
func readArrowBatchData() in client/sql/dataframe.go	39	9	2
func() in client/sql/dataframe.go	44	7	1
func getSaveMode() in client/sql/dataframewriter.go	15	6	1
def get_json() in merge_connect_go_pr.py	16	5	1
func() in client/sql/sparksession.go	32	5	1
def cherry_pick() in merge_connect_go_pr.py	27	4	3
func() in client/channel/channel.go	27	4	1
func() in client/sql/dataframe.go	29	4	1
func showArrowBatchData() in client/sql/dataframe.go	14	4	1
func readArrowRecord() in client/sql/dataframe.go	15	4	1
func() in client/sql/dataframewriter.go	31	4	1
func() in client/sql/sparksession.go	20	4	1
func consumeExecutePlanClient() in client/sql/sparksession.go	13	4	1
func main() in cmd/spark-connect-example-raw-grpc-client/main.go	26	3	0
def clean_up() in merge_connect_go_pr.py	8	3	0
def resolve_jira_issues() in merge_connect_go_pr.py	6	3	3
func() in client/sql/dataframe.go	17	3	1
func getDataTypeName() in client/sql/datatype.go	14	3	1
def run_cmd() in merge_connect_go_pr.py	6	2	1
def continue_maybe() in merge_connect_go_pr.py	4	2	1
def fix_version_from_branch() in merge_connect_go_pr.py	6	2	2
def get_current_ref() in merge_connect_go_pr.py	6	2	0
func() in client/sql/dataframe.go	9	2	1
func() in client/sql/dataframe.go	21	2	1
func() in client/sql/dataframe.go	24	2	1
func convertProtoDataTypeToStructType() in client/sql/dataframe.go	9	2	1
func convertProtoStructFields() in client/sql/dataframe.go	7	2	1
func() in client/sql/dataframereader.go	22	2	1
func() in client/sql/sparksession.go	15	2	1
func() in client/sql/sparksession.go	19	2	1
def fail() in merge_connect_go_pr.py	4	1	1
func newPlanId() in client/sql/plan.go	4	1	0
func() in client/sql/dataframe.go	7	1	1
func() in client/sql/dataframe.go	12	1	1
func showArrowBatch() in client/sql/dataframe.go	3	1	1
func convertProtoStructField() in client/sql/dataframe.go	6	1	1
func() in client/sql/dataframewriter.go	4	1	1
func() in client/sql/dataframewriter.go	4	1	1
func() in client/sql/dataframereader.go	4	1	1
func() in client/sql/row.go	3	1	1