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What are the known performance issues with SonarQubeScanner when analyzing monorepos containing over one million lines of code?

ChatGPTgpt-63 queries11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
What are the known performance issues with SonarQubeScanner when analyzing monorepos containing over one million lines of code?
3 real searches · 1 real-search pass
SonarScanner monorepo million lines performance issues memory analysis slow scanner issuesGoogle ↗
OBSERVED
SonarQube scanner large codebase monorepo performance memory indexing exclusions analysis timeGoogle ↗
OBSERVED
SonarScanner CLI performance large projects million lines known limitationsGoogle ↗
OBSERVED

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

Classifying 3 queries…

Searches and sources

ChatGPT3 real searches · gpt-6
SonarScanner monorepo million lines performance issues memory analysis slow scanner issues Google ↗
SonarQube scanner large codebase monorepo performance memory indexing exclusions analysis time Google ↗
SonarScanner CLI performance large projects million lines known limitations Google ↗

Queries

3 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
SonarScanner monorepo million lines performance issues memory analysis slow scanner issues
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
SonarQube scanner large codebase monorepo performance memory indexing exclusions analysis time
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
SonarScanner CLI performance large projects million lines known limitations
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1