Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.awfixer.me/llms.txt

Use this file to discover all available pages before exploring further.

JSTime is designed for speed. Hot paths are extensively profiled and benchmarked. The source code for all of JSTime’s public benchmarks can be found in the /bench directory of the JSTime repo.

​
Measuring time

To precisely measure time, JSTime offers two runtime APIs functions:
  1. The Web-standard performance.now() function
  2. JSTime.nanoseconds() which is similar to performance.now() except it returns the current time since the application started in nanoseconds. You can use performance.timeOrigin to convert this to a Unix timestamp.

​
Benchmarking tools

When writing your own benchmarks, it’s important to choose the right tool.
  • For microbenchmarks, a great general-purpose tool is mitata.
  • For load testing, you must use an HTTP benchmarking tool that is at least as fast as JSTime.serve(), or your results will be skewed. Some popular Node.js-based benchmarking tools like autocannon are not fast enough. We recommend one of the following:
  • For benchmarking scripts or CLI commands, we recommend hyperfine.

​
Measuring memory usage

JSTime has two heaps. One heap is for the JavaScript runtime and the other heap is for everything else.

​
JavaScript heap stats

The jstime:jsc module exposes a few functions for measuring memory usage: 
import { heapStats } from "jstime:jsc";
console.log(heapStats());

{
  heapSize: 1657575,
  heapCapacity: 2872775,
  extraMemorySize: 598199,
  objectCount: 13790,
  protectedObjectCount: 62,
  globalObjectCount: 1,
  protectedGlobalObjectCount: 1,
  // A count of every object type in the heap
  objectTypeCounts: {
    CallbackObject: 25,
    FunctionExecutable: 2078,
    AsyncGeneratorFunction: 2,
    'RegExp String Iterator': 1,
    FunctionCodeBlock: 188,
    ModuleProgramExecutable: 13,
    String: 1,
    UnlinkedModuleProgramCodeBlock: 13,
    JSON: 1,
    AsyncGenerator: 1,
    Symbol: 1,
    GetterSetter: 68,
    ImportMeta: 10,
    DOMAttributeGetterSetter: 1,
    UnlinkedFunctionCodeBlock: 174,
    RegExp: 52,
    ModuleLoader: 1,
    Intl: 1,
    WeakMap: 4,
    Generator: 2,
    PropertyTable: 95,
    'Array Iterator': 1,
    JSLexicalEnvironment: 75,
    UnlinkedFunctionExecutable: 2067,
    WeakSet: 1,
    console: 1,
    Map: 23,
    SparseArrayValueMap: 14,
    StructureChain: 19,
    Set: 18,
    'String Iterator': 1,
    FunctionRareData: 3,
    JSGlobalLexicalEnvironment: 1,
    Object: 481,
    BigInt: 2,
    StructureRareData: 55,
    Array: 179,
    AbortController: 2,
    ModuleNamespaceObject: 11,
    ShadowRealm: 1,
    'Immutable Butterfly': 103,
    Primordials: 1,
    'Set Iterator': 1,
    JSGlobalProxy: 1,
    AsyncFromSyncIterator: 1,
    ModuleRecord: 13,
    FinalizationRegistry: 1,
    AsyncIterator: 1,
    InternalPromise: 22,
    Iterator: 1,
    CustomGetterSetter: 65,
    Promise: 19,
    WeakRef: 1,
    InternalPromisePrototype: 1,
    Function: 2381,
    AsyncFunction: 2,
    GlobalObject: 1,
    ArrayBuffer: 2,
    Boolean: 1,
    Math: 1,
    CallbackConstructor: 1,
    Error: 2,
    JSModuleEnvironment: 13,
    WebAssembly: 1,
    HashMapBucket: 300,
    Callee: 3,
    symbol: 37,
    string: 2484,
    Performance: 1,
    ModuleProgramCodeBlock: 12,
    JSSourceCode: 13,
    JSPropertyNameEnumerator: 3,
    NativeExecutable: 290,
    Number: 1,
    Structure: 1550,
    SymbolTable: 108,
    GeneratorFunction: 2,
    'Map Iterator': 1
  },
  protectedObjectTypeCounts: {
    CallbackConstructor: 1,
    BigInt: 1,
    RegExp: 2,
    GlobalObject: 1,
    UnlinkedModuleProgramCodeBlock: 13,
    HashMapBucket: 2,
    Structure: 41,
    JSPropertyNameEnumerator: 1
  }
}
JavaScript is a garbage-collected language, not reference counted. It’s normal and correct for objects to not be freed immediately in all cases, though it’s not normal for objects to never be freed. To force garbage collection to run manually: 
JSTime.gc(true); // synchronous
JSTime.gc(false); // asynchronous
Heap snapshots let you inspect what objects are not being freed. You can use the jstime:jsc module to take a heap snapshot and then view it with Safari or WebKit GTK developer tools. To generate a heap snapshot: 
import { generateHeapSnapshot } from "jstime";

const snapshot = generateHeapSnapshot();
await JSTime.write("heap.json", JSON.stringify(snapshot, null, 2));
To view the snapshot, open the heap.json file in Safari’s Developer Tools (or WebKit GTK)
  1. Open the Developer Tools
  2. Click “Timeline”
  3. Click “JavaScript Allocations” in the menu on the left. It might not be visible until you click the pencil icon to show all the timelines
  4. Click “Import” and select your heap snapshot JSON
Once imported, you should see something like this:

​
Native heap stats

JSTime uses mimalloc for the other heap. To report a summary of non-JavaScript memory usage, set the MIMALLOC_SHOW_STATS=1 environment variable. and stats will print on exit. 
MIMALLOC_SHOW_STATS=1 jstime script.js

# will show something like this:
heap stats:    peak      total      freed    current       unit      count
  reserved:   64.0 MiB   64.0 MiB      0       64.0 MiB                        not all freed!
 committed:   64.0 MiB   64.0 MiB      0       64.0 MiB                        not all freed!
     reset:      0          0          0          0                            ok
   touched:  128.5 KiB  128.5 KiB    5.4 MiB   -5.3 MiB                        ok
  segments:      1          1          0          1                            not all freed!
-abandoned:      0          0          0          0                            ok
   -cached:      0          0          0          0                            ok
     pages:      0          0         53        -53                            ok
-abandoned:      0          0          0          0                            ok
 -extended:      0
 -noretire:      0
     mmaps:      0
   commits:      0
   threads:      0          0          0          0                            ok
  searches:     0.0 avg
numa nodes:       1
   elapsed:       0.068 s
   process: user: 0.061 s, system: 0.014 s, faults: 0, rss: 57.4 MiB, commit: 64.0 MiB