Error running analysis for javascript: Encountered a fatal error while running "/opt/hostedtoolcache/CodeQL/2.18.4/x64/codeql/codeql database run-queries --ram=14576 --threads=4 /home/runner/work/_temp/codeql_databases/javascript --expect-discarded-cache --min-disk-free=1024 -v --intra-layer-parallelism". Exit code was 134 and error was: Oops! A fatal internal error occurred. Details: com.semmle.util.exception.CatastrophicError: An error occurred while evaluating DataFlow::DataFlow::Node.getFile/0#dispred#4a057003#bf/2@460b606u Severe disk cache trouble (corruption or out of space) at /home/runner/work/_temp/codeql_databases/javascript/db-javascript/default/cache/pages/5d/8d.pack: Failed to write item to disk The RA to evaluate was: {1} r1 = SCAN `Variables::VarAccess.getVariable/0#dispred#1ca75c26` OUTPUT In.0 {1} | JOIN WITH `DataFlow::DataFlow::Node.asExpr/0#dispred#d0c15559_10#join_rhs` ON FIRST 1 OUTPUT Rhs.1 {2} | JOIN WITH DataFlowNode::TValueNode#5be210b0_10#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.0 {2} | JOIN WITH `AST::AstNode.getFile/0#dispred#dec40f60` ON FIRST 1 OUTPUT Lhs.1, Rhs.1 return r1 (eventual cause: IOException "No space left on device") at com.semmle.inmemory.pipeline.PipelineInstance.wrapWithRaDump(PipelineInstance.java:168) at com.semmle.inmemory.pipeline.PipelineInstance.exceptionCaught(PipelineInstance.java:152) at com.semmle.inmemory.scheduler.execution.ThreadableWork.handleAndLog(ThreadableWork.java:593) at com.semmle.inmemory.scheduler.execution.ThreadableWork.doSomeWork(ThreadableWork.java:410) at com.semmle.inmemory.scheduler.IntensionalLayer$IntensionalWork.evaluate(IntensionalLayer.java:95) at com.semmle.inmemory.scheduler.SimpleLayerTask$SimpleLayerWork.doWork(SimpleLayerTask.java:69) at com.semmle.inmemory.scheduler.execution.ThreadableWork.doSomeWork(ThreadableWork.java:396) at com.semmle.inmemory.scheduler.execution.ExecutionScheduler.runnerMain(ExecutionScheduler.java:677) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Caused by: Severe disk cache trouble (corruption or out of space) at /home/runner/work/_temp/codeql_databases/javascript/db-javascript/default/cache/pages/5d/8d.pack: Failed to write item to disk (eventual cause: IOException "No space left on device") at com.semmle.inmemory.caching.RelationCacheImpl.lambda$create$0(RelationCacheImpl.java:87) at com.semmle.inmemory.caching.byhash.disk.OnDiskStore.put(OnDiskStore.java:136) at com.semmle.inmemory.caching.byhash.interfaces.HashBasedCache.putIfPresent(HashBasedCache.java:29) at com.semmle.inmemory.caching.byhash.evict.Evictor$ItemHandle.writeToDisk(Evictor.java:723) at java.base/java.util.ArrayList.forEach(Unknown Source) at com.semmle.inmemory.caching.byhash.evict.Evictor.writeSelectedItems(Evictor.java:1059) at com.semmle.inmemory.caching.byhash.evict.Evictor.reduceMemoryUsage(Evictor.java:459) at com.semmle.inmemory.alloc.MemoryManager.reduceArraySpace(MemoryManager.java:340) at com.semmle.inmemory.alloc.RigidArrayAllocator.allocateArrays(RigidArrayAllocator.java:178) at com.semmle.inmemory.alloc.RigidArrayAllocator$1.<init>(RigidArrayAllocator.java:216) at com.semmle.inmemory.alloc.RigidArrayAllocator.preallocate(RigidArrayAllocator.java:211) at com.semmle.inmemory.alloc.MemoryManager.preallocate(MemoryManager.java:489) at com.semmle.inmemory.caching.PagePrimitives.parseItem(PagePrimitives.java:91) at com.semmle.inmemory.caching.byhash.disk.OnDiskStore.prepareLoading(OnDiskStore.java:256) at com.semmle.inmemory.caching.byhash.disk.OnDiskStore.getItem(OnDiskStore.java:193) at com.semmle.inmemory.caching.byhash.evict.CacheChainPartialMetadata.getItem(CacheChainPartialMetadata.java:62) at com.semmle.inmemory.caching.byhash.interfaces.HashBasedCache.getItem(HashBasedCache.java:44) at com.semmle.inmemory.caching.RelationCacheImpl.getPage(RelationCacheImpl.java:291) at com.semmle.inmemory.caching.PagedRelati

The Actions runner is running low on disk space (0.03587 GB available).