fix: replace O(n²) string concat with array buffering for stdout/stderr#1271
fix: replace O(n²) string concat with array buffering for stdout/stderr#1271
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…ut/stderr Replace `this._stdout += out` with array-based buffering (`push` + lazy `join`) in JS and Python SDKs to eliminate quadratic memory amplification when accumulating large command output. Fixes e2b-dev/code-interpreter#251
Package ArtifactsBuilt from c6866bf. Download artifacts from this workflow run. JS SDK ( npm install ./e2b-2.19.1-stdout-memory-leak-fix.0.tgzCLI ( npm install ./e2b-cli-2.9.1-stdout-memory-leak-fix.0.tgzPython SDK ( pip install ./e2b-2.20.0+stdout.memory.leak.fix-py3-none-any.whl |
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| Command stdout output. | ||
| """ | ||
| return self._stdout | ||
| return "".join(self._stdout_chunks) |
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Cache joined async output between chunk updates
The new stdout/stderr properties now call "".join(...) on every access, which re-copies the full buffered output each time even when no new chunk arrived. This is a regression from the previous O(1) getter behavior and can reintroduce quadratic CPU/memory churn for callers that poll cmd.stdout while a process is running; adding a cached joined value (invalidated on append) would avoid this.
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| sys.stdout.flush() | ||
| "`, | ||
| { | ||
| timeout: 600, |
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Use the correct timeout option in memory repro
This script passes timeout: 600, but the JS command API consumes timeoutMs, so this value is ignored and the default 60s timeout is used. For large-output runs near a minute, that makes the repro flaky and can invalidate the benchmark conclusions by timing out unexpectedly.
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| onStdout: () => { | ||
| chunkCount++ |
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Actually trigger flattening in the repro callback
The script states it is "reading .stdout in callback" to force flattening, but the callback only increments chunkCount. As written, the repro does not exercise the claimed flattening path, so results from this script cannot validate the specific regression/fix scenario described in the commit.
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Additional findings (outside current diff — PR may have been updated during review):
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🟡
packages/js-sdk/tests/memory-repro.mts:55-58— TheonStdoutcallback inmemory-repro.mtsonly doeschunkCount++and never accessescmd.stdout, contradicting the comments at lines 26 and 30 that claim it forces V8 string flattening. As a result, running this script only measures the 'normal usage' scenario (427 MB / 2.2x / 15.2s), not the 'with string flattening' scenario (669 MB / 3.5x / 59.5s) that the PR description attributes to it. To reproduce the critical benchmark, the callback should callcmd.stdoutorcmd.stdout.indexOf('\n').Extended reasoning...
What the bug is
The memory reproduction script at
packages/js-sdk/tests/memory-repro.mtscontains misleading comments. Line 26 states// Use start() + reading .stdout in callback to force V8 string flatteningand lines 29-31 printReading .stdout in callback to force V8 string flattening (simulates readLines indexOf behavior).... However, the actualonStdoutcallback at lines 56-58 is simply:onStdout: () => { chunkCount++ },
It never accesses
cmd.stdoutat all.The specific code path
V8's cons-string optimization lazily defers concatenation until the string is actually read. When user code accesses
.stdout(e.g. via.indexOf()as code-interpreter'sreadLinesdoes), V8 must flatten the cons-string tree into a single contiguous buffer — this is the expensive O(n²) operation the fix targets. Without that access in the callback, V8 can keep the cons-string tree intact throughout the command's lifetime, which is a different (and cheaper) memory profile.Why existing code doesn't prevent it
Nothing enforces that the callback actually accesses
cmd.stdout. The comments and console.log are purely documentation and have no effect on behavior. The script compiles and runs successfully either way, so the mismatch is invisible unless you read both the comments and the callback implementation carefully.Step-by-step proof
- The PR description's benchmark table has two distinct post-fix rows:
- After fix (with string flattening): 200 MB → 669 MB / 3.5x / 59.5s
- After fix (normal usage): 200 MB → 427 MB / 2.2x / 15.2s
- "String flattening" is defined in the PR as accessing
cmd.stdout.indexOf('\n')in theonStdoutcallback. - The committed callback does not call
cmd.stdoutat any point. - Therefore the script cannot reproduce the 669 MB / 3.5x / 59.5s row — it only measures the 427 MB / 2.2x / 15.2s (normal usage) row.
- Any benchmark numbers produced by running this script as committed correspond to the normal usage scenario, not the string flattening scenario referenced in the inline console.log.
Impact
This is a nit-level issue limited to the benchmark/test script. The production fix in
commandHandle.tsis correct and unaffected. However, the most important real-world scenario (callbacks that callcmd.stdoutto scan for newlines, asreadLinesin code-interpreter does) cannot be verified with this script as committed.How to fix
Change the
onStdoutcallback to accesscmd.stdout:onStdout: () => { chunkCount++ void cmd.stdout.indexOf('\n') // force V8 cons-string flattening },
This mirrors what code-interpreter's
readLinesactually does and will produce benchmark numbers consistent with the 'with string flattening' row in the PR description. - The PR description's benchmark table has two distinct post-fix rows:
| """ | ||
| Command stdout output. | ||
| """ | ||
| return self._stdout | ||
| return "".join(self._stdout_chunks) | ||
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| @property | ||
| def stderr(self): | ||
| """ | ||
| Command stderr output. | ||
| """ | ||
| return self._stderr | ||
| return "".join(self._stderr_chunks) | ||
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🔴 The Python async SDK's stdout and stderr properties call ''.join(self._stdout_chunks) on every access with no caching, reintroducing the same O(n²) pattern the PR set out to fix. If a user accesses handle.stdout inside an on_stdout callback (as code-interpreter's readLines does), each callback invocation triggers a full re-join of all accumulated chunks — O(total_size) per callback, O(n²) total. Fix by adding _stdout_cached: Optional[str] = None, returning the cached value in the getter, and setting it to None on each append, mirroring the JS implementation.
Extended reasoning...
What the bug is: The Python async SDK's stdout and stderr properties in command_handle.py (lines 41–52) always call ''.join(self._stdout_chunks) on every property access with no caching. The JS SDK correctly maintains _stdoutCached/_stderrCached fields that are set to undefined on each chunk push and lazily computed in the getter. The Python async SDK received the array-buffering change (replacing +=) but did not receive the corresponding caching layer.
The specific code path: When a user passes on_stdout to sandbox.commands.start(), the async SDK calls that callback for each chunk in _handle_events(). If the callback (or any downstream consumer) accesses handle.stdout to get the accumulated output — exactly the pattern code-interpreter's readLines uses to scan for newlines via str.find() — each callback invocation hits the property getter, which calls ''.join(self._stdout_chunks) from scratch.
Why existing code doesn't prevent it: The PR replaced self._stdout += out (O(n) per append) with self._stdout_chunks.append(out) (O(1) per append), which is correct. But it did not add a cache guard in the getter. Before the PR, reading self._stdout in a callback was O(1) (a simple attribute read). After the PR, reading handle.stdout in a callback is O(accumulated_size) because join() must traverse all chunks every time.
The impact: With N chunks totaling T bytes, accessing handle.stdout once per callback produces O(T) work per call and O(N × T) total — quadratic in T when N grows proportionally to T (fixed chunk sizes). The PR's own benchmark documents this scenario ('string flattening') measuring 669 MB peak heap / 3.5x amplification for 200 MB of output in the JS SDK after the fix. The Python async SDK has no protection at all, so this scenario will be at least as bad as the pre-fix JS numbers.
How to fix: Mirror the JS implementation exactly. Add self._stdout_cached: Optional[str] = None and self._stderr_cached: Optional[str] = None as instance variables in __init__. In the stdout property getter, return self._stdout_cached if it is not None, otherwise compute ''.join(self._stdout_chunks), store it in self._stdout_cached, and return it. In _iterate_events, after self._stdout_chunks.append(out), set self._stdout_cached = None. Apply the same pattern for stderr.
Step-by-step proof: Suppose a user runs sandbox.commands.start(cmd, on_stdout=lambda _: print(len(handle.stdout))) against a command producing 200,000 chunks of ~1,000 bytes each (200 MB total, matching the PR's benchmark). Chunk 1 arrives → _stdout_chunks has 1 element → handle.stdout joins 1 string, ~1,000 bytes of work. Chunk 2 → joins 2 strings, ~2,000 bytes. Chunk k → joins k strings, ~k×1,000 bytes. Total work = 1,000 × (1 + 2 + … + 200,000) ≈ 2×10¹³ bytes of string copying — clearly O(n²). This is the exact scenario the PR benchmarks, and the Python async SDK has no defense against it.
| self._handle_kill = handle_kill | ||
| self._events = events | ||
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| self._stdout: str = "" | ||
| self._stderr: str = "" | ||
| self._stdout_chunks: list[str] = [] | ||
| self._stderr_chunks: list[str] = [] | ||
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| self._result: Optional[CommandResult] = None | ||
| self._iteration_exception: Optional[Exception] = None |
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🟣 The sync CommandHandle has no public stdout or stderr properties, while the async AsyncCommandHandle exposes them via @property. This is a pre-existing API inconsistency: before this PR the sync SDK stored private _stdout: str, and after this PR it stores private _stdout_chunks: list[str] — neither exposes a public accessor. Users holding a background sync handle cannot inspect accumulated output via handle.stdout and would receive AttributeError.
Extended reasoning...
What the bug is
The async AsyncCommandHandle has always exposed stdout and stderr as @property accessors returning ''.join(self._stdout_chunks). The sync CommandHandle has never had equivalent public properties — before this PR it had self._stdout: str = '' (private), and after this PR it has self._stdout_chunks: list[str] = [] (still private). There is no public stdout or stderr attribute on the sync handle.
The specific code path
In packages/python-sdk/e2b/sandbox_sync/commands/command_handle.py, the class defines only a pid property. The _stdout_chunks and _stderr_chunks fields added by this PR at lines 42-43 are purely internal. The async counterpart in packages/python-sdk/e2b/sandbox_async/commands/command_handle.py defines @property stdout and @property stderr that are part of the documented public API.
Why existing code does not prevent it
The PR only changes internal storage from str to list[str] and correctly wires up the CommandResult returned by wait(). It does not add or remove any public properties. The public API surface of the sync handle is unchanged before and after this PR.
Addressing the refutation
The refutation argues this asymmetry is intentional: the sync SDK processes events lazily (only when iterated), so accumulated output mid-run is less meaningful, and users can use wait(on_stdout=...) callbacks or iterate via for stdout, stderr, pty in handle:. This is architecturally accurate. However, a user who uses both SDKs or who reads the async SDK docs would reasonably expect handle.stdout to work on either handle type. The AsyncCommandHandle treats it as standard public API, creating a discoverable inconsistency. The refutation is correct that this is intentional design, but it does not eliminate the confusion users encounter when the APIs diverge.
Impact
Any code that does handle = sandbox.commands.run(cmd, background=True) followed by handle.stdout will raise AttributeError: 'CommandHandle' object has no attribute 'stdout'. The fix would be trivially additive: @property stdout: return ''.join(self._stdout_chunks).
Step-by-step proof
- User calls
handle = sandbox.commands.run('sleep 5 && echo done', background=True) - User tries
print(handle.stdout)to check intermediate output (as they would withAsyncCommandHandle) - Python raises
AttributeError: 'CommandHandle' object has no attribute 'stdout' - Same code with the async SDK works fine because
@property stdoutis defined onAsyncCommandHandle - This is pre-existing: even before this PR, step 3 would raise the same error — the private
_stdoutfield was never a public property
Pre-existing nature
Before this PR: self._stdout: str = '' — private, no public property. After this PR: self._stdout_chunks: list[str] = [] — still private, still no public property. The inconsistency predates this PR.
Mirror the JS SDK's caching pattern — avoid re-joining all chunks on every property access when no new data has arrived.
Summary
Replaces
this._stdout += out/self._stdout += outwith array-based buffering (push+ lazyjoin) in both JS and Python SDKs to eliminate quadratic memory amplification when accumulating large command output.Related: e2b-dev/code-interpreter#251
Problem
JavaScript string
+=is O(n) per append (copies the entire existing string). When V8's cons-string optimization is defeated (e.g. by calling.indexOf()or.lengthon the accumulator between appends), this becomes O(n²) total — causing massive memory amplification and event loop stalls.Changes
packages/js-sdk/src/sandbox/commands/commandHandle.ts): Replace_stdout/_stderrstring fields with_stdoutChunks/_stderrChunksarrays + cached lazyjoin()in getters. Cache is invalidated on each new chunk push.packages/python-sdk/e2b/sandbox_async/commands/command_handle.py): Same pattern —list[str]+''.join()in properties and at command end.packages/python-sdk/e2b/sandbox_sync/commands/command_handle.py): Same pattern.Test plan
pnpm run build— passespnpm run typecheck— passespnpm run lint— passespnpm run test— 299/299 pass (28 volume test failures are pre-existing, unrelated)