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FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory #96

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Ray-ane opened this issue Oct 18, 2022 · 4 comments · Fixed by #97

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@Ray-ane
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Ray-ane commented Oct 18, 2022

Hello,

When i run

npx dukascopy-cli -i eurusd -from 2022-01-01 -to 2022-10-14 -t tick -f csv

i got this error :

<--- Last few GCs --->

[79122:0x150008000] 1489505 ms: Scavenge 1832.0 (1899.2) -> 1826.9 (1899.0) MB, 9.5 / 0.0 ms (aver
[79122:0x150008000] 1489577 ms: Scavenge 1841.2 (1899.4) -> 1835.4 (1899.2) MB, 8.9 / 0.0 ms (aver
[79122:0x150008000] 1489618 ms: Scavenge 1849.1 (1900.2) -> 1843.3 (1904.0) MB, 7.2 / 0.0 ms (aver

<--- JS stacktrace --->

FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of me
1: 0x104fa5c84 node::Abort() [/usr/local/bin/node]
2: 0x104fa5e74 node::ModifyCodeGenerationFromStrings(v8::Localv8::Context, v8::Localv8::Value,
3: 0x1050ea7d4 v8::Utils::ReportOOMFailure(v8::internal::Isolate*, char const*, bool) [/usr/local/b
4: 0x1050ea794 v8::internal::V8::FatalProcessOutOfMemory(v8::internal::Isolate*, char const*, bool)
5: 0x10526dcb0 v8::internal::Heap::GarbageCollectionReasonToString(v8::internal::GarbageCollectionR
6: 0x1052712c0 v8::internal::Heap::CollectSharedGarbage(v8::internal::GarbageCollectionReason) [/us
7: 0x10526e478 v8::internal::Heap::PerformGarbageCollection(v8::internal::GarbageCollector, v8::GCC
8: 0x10526bda0 v8::internal::Heap::CollectGarbage(v8::internal::AllocationSpace, v8::internal::Garb
9: 0x10526ac08 v8::internal::Heap::HandleGCRequest() [/usr/local/bin/node]
10: 0x10521fdfc v8::internal::StackGuard::HandleInterrupts() [/usr/local/bin/node]
11: 0x105582318 v8::internal::Runtime_StackGuard(int, unsigned long*, v8::internal::Isolate*) [/usr/
12: 0x10589600c Builtins_CEntry_Return1_DontSaveFPRegs_ArgvOnStack_NoBuiltinExit [/usr/local/bin/nod
13: 0x109f66264
14: 0x109ed65a0
15: 0x109f6c4f4
16: 0x109ed927c
17: 0x109dec9c4
18: 0x109ed1440
19: 0x109ee3058
20: 0x109ed95dc
21: 0x1058b2468 Builtins_ArrayMap [/usr/local/bin/node]
22: 0x105829c98 Builtins_InterpreterEntryTrampoline [/usr/local/bin/node]
23: 0x105829c98 Builtins_InterpreterEntryTrampoline [/usr/local/bin/node]
24: 0x105859294 Builtins_AsyncFunctionAwaitResolveClosure [/usr/local/bin/node]
25: 0x1058de0f8 Builtins_PromiseFulfillReactionJob [/usr/local/bin/node]
26: 0x10584b674 Builtins_RunMicrotasks [/usr/local/bin/node]
27: 0x105827964 Builtins_JSRunMicrotasksEntry [/usr/local/bin/node]
28: 0x1051fa460 v8::internal::(anonymous namespace)::Invoke(v8::internal::Isolate*, v8::internal::(a
29: 0x1051fa894 v8::internal::(anonymous namespace)::InvokeWithTryCatch(v8::internal::Isolate*, v8::
30: 0x1051fa980 v8::internal::Execution::TryRunMicrotasks(v8::internal::Isolate*, v8::internal::Micr
31: 0x10521d5bc v8::internal::MicrotaskQueue::RunMicrotasks(v8::internal::Isolate*) [/usr/local/bin/
32: 0x10521de50 v8::internal::MicrotaskQueue::PerformCheckpoint(v8::Isolate*) [/usr/local/bin/node]
33: 0x104ef5c4c node::InternalCallbackScope::Close() [/usr/local/bin/node]
34: 0x104ef57c4 node::InternalCallbackScope::~InternalCallbackScope() [/usr/local/bin/node]
35: 0x104f514e8 node::Environment::RunTimers(uv_timer_s*) [/usr/local/bin/node]
36: 0x105808b68 uv__run_timers [/usr/local/bin/node]
37: 0x10580bba8 uv_run [/usr/local/bin/node]
38: 0x104ef66d4 node::SpinEventLoop(node::Environment*) [/usr/local/bin/node]
39: 0x104fdfa90 node::NodeMainInstance::Run(int*, node::Environment*) [/usr/local/bin/node]
40: 0x104fdf770 node::NodeMainInstance::Run() [/usr/local/bin/node]
41: 0x104f79e38 node::Start(int, char**) [/usr/local/bin/node]
42: 0x109b69088
[1] 79121 abort npx dukascopy-cli -i eurusd -from 2022-01-01 -to 2022-10-14 -t tick -f csv

@Ray-ane
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Ray-ane commented Oct 18, 2022

I also tried to use : https://historical-market-data.vercel.app/ to download this data with same parameters the web app give me an error with no description

@Leo4815162342
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We're working on implementing a more memory-efficient file saving solution, so stay tuned. ATM, I'd recommend querying for shorter time frames, especially when it comes to tick data

@Leo4815162342
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@Ray-ane please update dukascopy-node to the latest version (1.26.0) - the issue should be fixed

@Leo4815162342
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dukascopy-node@1.31.3 contains more performance improvements and addresses the memory leak issue

details > #119

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