Streaming debug_traceBlock with inline tracer to prevent OOM#9844
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qu0b wants to merge 4 commits intohyperledger:bal-devnet-2-with-prefetchfrom
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Streaming debug_traceBlock with inline tracer to prevent OOM#9844qu0b wants to merge 4 commits intohyperledger:bal-devnet-2-with-prefetchfrom
qu0b wants to merge 4 commits intohyperledger:bal-devnet-2-with-prefetchfrom
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debug_traceBlockByHash/ByNumber/Block accumulated all transaction traces in a synchronized ArrayList before serializing the entire response. A single block trace produces 350-600 MB of JSON (with disableMemory=false), causing OOM under concurrent requests on nodes targeted by tracing services like tracoor. Introduce StreamingJsonRpcSuccessResponse which writes each transaction trace directly to the HTTP response via JsonGenerator as it is produced. Peak memory drops from O(all_traces_in_block) to O(single_trace). Tested on bal-devnet-2: 26+ blocks traced continuously under 12 GiB memory limit, 12+ GB total data streamed, memory stable at 2-4 GiB. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Instead of accumulating all TraceFrames in memory per transaction and then converting them to StructLog objects, write each StructLog directly to the JsonGenerator as it is produced during execution. After each transaction's frames are written, reset the tracer to release memory. This reduces peak memory from O(all_frames_in_block) to O(one_tx_frames), preventing OOM when tracoor sends concurrent debug_traceBlockByHash requests with memory capture enabled. Stress tested with 10 concurrent block traces: peak 4.1 GiB vs 7.6 GiB before, with full recovery after GC. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Limit `--rpc-http-max-active-connections` to 20 (default 80) and increase `--Xhttp-timeout-seconds` to 600 (default 30) on all besu nodes. tracoor floods 250+ concurrent `debug_traceBlockByHash` requests with full memory/storage tracing enabled. Even with the streaming fix (PR hyperledger/besu#9844), the default 80-connection limit allows enough concurrent traces to exhaust JVM heap. Lowering to 20 prevents OOM while still serving normal RPC traffic. The 600s timeout prevents heavy block traces from being killed mid-flight. Already deployed manually to both live besu nodes — stable with zero OOM under continuous tracoor load. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace frame-by-frame iteration with true inline streaming: StructLog entries are written directly to the JsonGenerator during EVM execution via StreamingDebugOperationTracer, achieving O(1) frame memory instead of O(all_frames_per_tx). Additionally implements lazy memory capture: EVM memory is only copied for the 24 opcodes that actually read/write memory (MLOAD, MSTORE, CALL, CREATE, LOG*, etc). All other opcodes (~90%) omit the memory field entirely, reducing per-frame overhead from ~256KB to ~1-2KB. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When debug_traceBlockByHash fails mid-stream (connection reset or worldstate unavailable), the JSON generator may be in an unknown nested context. Previously this caused JsonGenerationException and Self-suppression errors. - Move writeStartArray before processTracing so worldstate-not-found produces valid empty array [] instead of crashing - Track whether the tracing lambda ran to detect mid-stream failures - Swallow generator.close() IOException in handleJsonObjectResponse to prevent Self-suppression not permitted errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Problem
debug_traceBlockByHashaccumulates allTraceFrameobjects in anArrayListfor every transaction in a block before serializing. Each frame holds a full copy of EVM memory (up to 256KB). On blocks with 200K-600K+ opcode steps, this exhausts heap and causesOutOfMemoryError— particularly under continuous load from tracing services like tracoor.Solution
New
StreamingDebugOperationTracerwrites each struct log entry directly to aJsonGeneratorduring EVM execution viatracePostExecution(), then discards it immediately. No frames are accumulated. Combined with lazy memory capture (only 22 of ~140 opcodes actually touch memory), peak memory drops from O(all_frames_in_block) to O(1).The pipeline architecture (
PipelineBuilder/ExecuteTransactionStep/DebugTraceTransactionStepFactory) is removed in favor of direct sequential iteration with inline JSON serialization.Error handling
JsonRpcObjectExecutorhandlesgenerator.close()failures on connection reset to preventSelf-suppression not permittedexceptionsChanges
StreamingDebugOperationTracer.javaStreamingJsonRpcSuccessResponse.javaJsonRpcResponsethat streamsresultviaJsonGeneratorAbstractDebugTraceBlock.javagetStreamingTraces()with mid-stream error handlingDebugTraceBlockByNumber.javaDebugOperationTracer(per-tx reset)JsonRpcObjectExecutor.javaStructLogWithError.javaVerification
pc,op,gas,gasCost,depth,memory,storage)🤖 Generated with Claude Code