
Research
NPM targeted by malware campaign mimicking familiar library names
Socket uncovered npm malware campaign mimicking popular Node.js libraries and packages from other ecosystems; packages steal data and execute remote code.
Elastic.CommonSchema.BenchmarkDotNetExporter
Advanced tools
Exports BenchmarkDotNet benchmarks to Elasticsearch using Elastic Common Schema (ECS) format
An exporter for BenchmarkDotnet that can index benchmarking result output directly into Elasticsearch.
The .NET assemblies are published to NuGet under the package name Elastic.CommonSchema.BenchmarkDotNetExporter
var options = new ElasticsearchBenchmarkExporterOptions(url)
{
GitBranch = "externally-provided-branch",
GitCommitMessage = "externally provided git commit message",
GitRepositoryIdentifier = "repository"
};
var exporter = new ElasticsearchBenchmarkExporter(options);
var config = CreateDefaultConfig().With(exporter);
BenchmarkRunner.Run(typeof(Md5VsSha256), config);
The code snippet above configures the ElasticsearchBenchmarkExporter
with the supplied ElasticsearchBenchmarkExporterOptions
. It is possible to configure the exporter to use Elastic Cloud as follows:
var options = new ElasticsearchBenchmarkExporterOptions(url)
{
CloudId = "CLOUD_ID_HERE"
};
Example _source from a search in Elasticsearch after a benchmark run:
{
"_index":"benchmark-dotnet-2020-01-01",
"_type":"_doc",
"_id":"pfFAh28B14pBZI_VO098",
"_score":1.0,
"_source":{
"agent":{
"git":{
"branch_name":"externally-provided-branch",
"commit_message":"externally provided git commit message",
"repository":"repository"
},
"language":{
"jit_info":"RyuJIT",
"dot_net_sdk_version":"3.0.101",
"benchmark_dot_net_caption":"BenchmarkDotNet",
"has_ryu_jit":true,
"build_configuration":"RELEASE",
"benchmark_dot_net_version":"0.12.0",
"version":".NET Core 3.0.1 (CoreCLR 4.700.19.47502, CoreFX 4.700.19.51008)"
},
"type":"Elastic.CommonSchema.BenchmarkDotNetExporter",
"version":"1.0.0+7cedae2aaa06092ea253155279b835cee6160b3a"
},
"os":{
"name":"Linux",
"version":"ubuntu 18.10",
"platform":"unix"
},
"message":null,
"benchmark":{
"q1":3632.625,
"lower_outliers":[],
"q3":5047.625,
"confidence_interval":{
"margin":14613.282591693971,
"level":12,
"mean":4123.291666666667,
"lower":-10489.990925027305,
"n":3,
"standard_error":462.4594877151704
},
"percentiles":{
"p0":3632.625,
"p67":4151.345,
"p25":3661.125,
"p100":5047.625,
"p90":4776.025000000001,
"p80":4504.425,
"p50":3689.625,
"p85":4640.225,
"p95":4911.825
},
"memory":{
"bytes_allocated_per_operation":112,
"total_operations":4,
"gen2_collections":0,
"gen1_collections":0,
"gen0_collections":0
},
"max":5047.625,
"interquartile_range":1415,
"all_outliers":[],
"upper_fence":7170.125,
"standard_deviation":801.0033291649501,
"kurtosis":0.6666666666666661,
"n":3,
"standard_error":462.4594877151704,
"min":3632.625,
"median":3689.625,
"upper_outliers":[],
"variance":641606.3333333333,
"mean":4123.291666666667,
"lower_fence":1510.125,
"skewness":0.3827086238595402
},
"@timestamp":"2020-01-08T22:22:10.7917398+00:00",
"host":{
"hardware_timer_kind":"Unknown",
"physical_processor_count":1,
"logical_core_count":12,
"in_docker":false,
"processor_name":"Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz",
"chronometer_frequency_hertz":1000000000,
"has_attached_debugger":false,
"physical_core_count":6,
"architecture":"X64"
},
"log.level":null,
"event":{
"duration":1385324200,
"measurement_stages":[
{
"operations":2,
"iteration_mode":"Overhead",
"iteration_stage":"Jitting"
},
{
"operations":2,
"iteration_mode":"Workload",
"iteration_stage":"Jitting"
},
{
"operations":4,
"iteration_mode":"Overhead",
"iteration_stage":"Warmup"
},
{
"operations":4,
"iteration_mode":"Overhead",
"iteration_stage":"Actual"
},
{
"operations":4,
"iteration_mode":"Workload",
"iteration_stage":"Warmup"
},
{
"operations":4,
"iteration_mode":"Workload",
"iteration_stage":"Actual"
},
{
"operations":4,
"iteration_mode":"Workload",
"iteration_stage":"Result"
}
],
"job_config":{
"run_time":".NET Core 3.0",
"jit":"Default",
"launch":{
"unroll_factor":2,
"max_iteration_count":0,
"launch_count":1,
"iteration_count":3,
"run_strategy":"Throughput",
"iteration_time_in_milliseconds":0,
"warm_count":3,
"max_warmup_iteration_count":0,
"invocation_count":4,
"min_warmup_iteration_count":0,
"min_iteration_count":0
},
"id":"ShortRun",
"gc":{
"heap_affinitize_mask":0,
"server":false,
"no_affinitize":false,
"allow_very_large_objects":false,
"retain_vm":false,
"cpu_groups":false,
"concurrent":false,
"heap_count":0,
"force":false
},
"platform":"AnyCpu"
},
"original":"Md5VsSha256.Sha256: ShortRun(Runtime=.NET Core 3.0, InvocationCount=4, IterationCount=3, LaunchCount=1, UnrollFactor=2, WarmupCount=3) [N=1000]",
"method":"Elastic.CommonSchema.BenchmarkDotNetExporter.IntegrationTests.Md5VsSha256.Sha256(N: 1000)",
"module":"Elastic.CommonSchema.BenchmarkDotNetExporter.IntegrationTests",
"description":"Sha256",
"action":"Sha256",
"category":"Elastic.CommonSchema.BenchmarkDotNetExporter.IntegrationTests.Md5VsSha256-20200108-232208",
"type":"Md5VsSha256",
"parameters":"N=1000",
"repetitions":{
"measured":4,
"warmup":4
}
}
}
}
This software is Copyright (c) 2014-2020 by Elasticsearch BV.
This is free software, licensed under: The Apache License Version 2.0.
FAQs
Exports BenchmarkDotNet benchmarks to Elasticsearch using Elastic Common Schema (ECS) format
We found that elastic.commonschema.benchmarkdotnetexporter demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Socket uncovered npm malware campaign mimicking popular Node.js libraries and packages from other ecosystems; packages steal data and execute remote code.
Research
Socket's research uncovers three dangerous Go modules that contain obfuscated disk-wiping malware, threatening complete data loss.
Research
Socket uncovers malicious packages on PyPI using Gmail's SMTP protocol for command and control (C2) to exfiltrate data and execute commands.