apache / spark-connect-go - Conditional 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 782 units with 5,691 lines of code in units (85.5% of code).

1 very complex units (205 lines of code)
2 complex units (168 lines of code)
12 medium complex units (632 lines of code)
15 simple units (466 lines of code)
752 very simple units (4,220 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 readArrayData() in spark/sql/types/arrow.go	205	61	2
func FromProtoStorageLevel() in spark/sql/utils/consts.go	29	47	1
func main() in cmd/spark-connect-example-spark-session/main.go	139	30	0
func NewBuilder() in spark/client/channel/channel.go	67	20	1
def resolve_jira_issue() in merge_connect_go_pr.py	73	18	3
func ArrowTypeToProto() in spark/sql/types/arrow.go	42	17	1
func() in spark/sql/sparksession.go	49	15	1
func() in spark/client/client.go	52	15	1
func() in spark/sql/group.go	61	14	1
func ConvertProtoDataTypeToDataType() in spark/sql/types/conversion.go	34	14	1
def standardize_jira_ref() in merge_connect_go_pr.py	19	12	1
def main() in merge_connect_go_pr.py	101	12	0
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 spark/sql/group.go	38	11	1
func ToProtoStorageLevel() in spark/sql/utils/consts.go	24	10	1
def initialize_jira() in merge_connect_go_pr.py	28	9	0
func ToProtoJoinType() in spark/sql/utils/consts.go	20	8	1
func() in spark/client/retry.go	43	8	1
func ReadArrowTableToRows() in spark/sql/types/arrow.go	31	7	1
func() in spark/sql/dataframe.go	45	7	1
func() in spark/client/client.go	32	7	1
func FromRPCError() in spark/sparkerrors/errors.go	28	6	1
func getSaveMode() in spark/sql/dataframewriter.go	15	6	1
func() in spark/sql/dataframe.go	41	6	1
func() in spark/sql/dataframe.go	40	6	1
func wrapRetriableCall[Res rpcType]() in spark/client/retry.go	27	6	3
func() in spark/client/retry.go	38	6	1
func() in spark/client/retry.go	26	6	1
func() in spark/client/retry.go	28	6	1
def get_json() in merge_connect_go_pr.py	16	5	1
func() in spark/sparkerrors/errors.go	16	5	1
func() in spark/sql/column/expressions.go	26	5	1
func() in spark/sql/sparksession.go	27	5	1
func() in spark/sql/dataframe.go	40	5	1
func() in spark/sql/dataframe.go	37	5	1
func() in spark/client/retry.go	18	5	1
def cherry_pick() in merge_connect_go_pr.py	27	4	3
func() in spark/sql/column/expressions.go	22	4	1
func() in spark/sql/dataframewriter.go	32	4	1
func() in spark/sql/sparksession.go	39	4	1
func() in spark/sql/dataframe.go	32	4	1
func() in spark/sql/dataframe.go	31	4	1
func() in spark/sql/dataframe.go	14	4	1
func() in spark/sql/dataframe.go	25	4	1
func() in spark/sql/dataframe.go	29	4	1
func() in spark/sql/dataframe.go	14	4	1
func() in spark/client/conf.go	16	4	1
func() in spark/client/client.go	19	4	1
func() in spark/client/channel/channel.go	28	4	1