It seems that after upgrading our Kotlin/JVM project to Gradle 8.11 and enabling the new org.gradle.configuration-cache.parallel = true, we getting
/opt/hostedtoolcache/CodeQL/2.19.3/x64/codeql/codeql database finalize --finalize-dataset --threads=4 --ram=14576 /home/runner/work/_temp/codeql_databases/java
CodeQL detected code written in Java/Kotlin but could not process any of it. For more information, review our troubleshooting guide at https://gh.io/troubleshooting-code-scanning/no-source-code-seen-during-build .
Error: Encountered a fatal error while running "/opt/hostedtoolcache/CodeQL/2.19.3/x64/codeql/codeql database finalize --finalize-dataset --threads=4 --ram=14576 /home/runner/work/_temp/codeql_databases/java". Exit code was 32 and last log line was: CodeQL detected code written in Java/Kotlin but could not process any of it. For more information, review our troubleshooting guide at https://gh.io/troubleshooting-code-scanning/no-source-code-seen-during-build . See the logs for more details.
Can it be that parallelizing configuration cache access has an impact on CodeQL analysis?
It seems that after upgrading our Kotlin/JVM project to Gradle 8.11 and enabling the new
org.gradle.configuration-cache.parallel = true, we gettingCan it be that parallelizing configuration cache access has an impact on CodeQL analysis?