iLogtail

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iLogtail 是阿里云日志服务(Log Service)中的一款高性能、可扩展的日志采集工具。它被设计用于实时收集、解析和传输各类日志数据,支持多种数据源和复杂的日志处理场景,广泛应用于分布式系统、Web 服务器、应用程序等环境中的日志管理。

HTTP数据


简介

service_http_server input插件可以接收来自unix socket、http/https、tcp的请求,并支持sls协议、otlp等多种协议。

版本

Stable

配置参数

参数类型是否必选说明
TypeString插件类型,固定为service_http_server
FormatString数据格式。

支持格式:slsprometheusinfluxdbotlp_logv1otlp_metricv1pyroscopestatsd

v2版本支持格式:rawprometheusotlp_logv1otlp_metricv1otlp_tracev1
说明:raw格式以原始请求字节流传输数据
AddressString监听地址。
PathString接收端点, 如Format 为 otlp_logv1 时, 默认端点为/v1/logs
ReadTimeoutSecString读取超时时间。
默认取值为:10s
ShutdownTimeoutSecString关闭超时时间。
默认取值为:5s
MaxBodySizeString最大传输 body 大小。
默认取值为:64k
UnlinkUnixSockString启动前如果监听地址为unix socket,是否进行强制释放。
默认取值为:true
FieldsExtendBoolean是否支持非integer以外的数据类型(如String)
目前仅针对有 String、Bool 等额外类型的 influxdb Format 有效
QueryParams[]String需要解析到Group.Metadata中的请求参数。
解析结果会以KeyValue放入Metadata。默认取值为[],即不解析。
仅v2版本有效
QueryParamPrefixString解析请求参数时需要添加的key前缀,如_query_param_
前缀会直接拼接在每个QueryParam前,无额外连接符,默认取值为空,即不增加前缀。
仅v2版本有效
HeaderParams[]String需要解析到Group.Metadata中的header参数。
解析结果会以KeyValue放入Metadata。默认取值为[],即不解析。
仅v2版本有效
HeaderParamPrefixString解析Header参数时需要添加的key前缀,如_header_param_
前缀会直接拼接在每个HeaderParam前,无额外连接符,默认取值为空,即不增加前缀。
仅v2版本有效
DisableUncompressBoolean禁用对于请求数据的解压缩, 默认取值为:false
目前仅针对Raw Format有效
仅v2版本有效
Tagsmap[String]String输出数据默认携带标签
仅v1版本有效
DumpDataBoolean[开发使用] 将接收的请求存储于本地文件, 默认取值为:false
DumpDataKeepFilesInt[开发使用] Dump文件保留文件数目, 文件按小时滚动, 此参数默认值为5, 表示保留5小时Dump 参数
AllowUnsafeModeBoolean是否允许unsafe模式的Decode,启用该模式,Decoder将可能利用go unsafe技术来加速解码,目前仅当Format=prometheus时有效(注:暂不支持Exemplar、Histogram)

样例

接收 OTLP 日志

  • 采集配置
enable: true
inputs:
- Type: service_http_server
Format: "otlp_logv1"
Address: "http://127.0.0.1:12345"
flushers:
- Type: flusher_stdout
OnlyStdout: true
  • 输入

使用
opentelemetry-java-sdk构造数据,基于ExampleConfiguration.javaOtlpExporterExample.java
进行如下代码改造。

ExampleConfiguration 进行 OTLP SDK 初始化。

static OpenTelemetrySdk initHTTPOpenTelemetry() {
// Include required service.name resource attribute on all spans and metrics
Resource resource =
Resource.getDefault()
.merge(Resource.builder().put(SERVICE_NAME, "OtlpExporterExample").build());
OpenTelemetrySdk openTelemetrySdk =
OpenTelemetrySdk.builder()
.setLogEmitterProvider(
SdkLogEmitterProvider.builder()
.setResource(resource)
.addLogProcessor(SimpleLogProcessor
.create(OtlpHttpLogExporter
.builder()
.setEndpoint("http://127.0.0.1:12345/v1/logs")
.build()))
.build())
.buildAndRegisterGlobal();
Runtime.getRuntime()
.addShutdownHook(new Thread(openTelemetrySdk.getSdkLogEmitterProvider()::shutdown));
return openTelemetrySdk;
}

OtlpExporterExample 构造数据。

OpenTelemetrySdk openTelemetry = ExampleConfiguration.initHTTPOpenTelemetry();
LogEmitter logger = openTelemetry.getSdkLogEmitterProvider().get("io.opentelemetry.example");
logger
.logRecordBuilder()
.setBody("log body1")
.setAllAttributes(
Attributes.builder()
.put("k1", "v1")
.put("k2", "v2").build())
.setSeverity(Severity.INFO)
.setSeverityText("INFO")
.setEpoch(Instant.now())
.setContext(Context.current())
.emit();
  • 输出
{
"time_unix_nano": "1663913736115000000",
"severity_number": "9",
"severity_text": "INFO",
"content": "log body1",
"attributes": "{\"k1\":\"v1\",\"k2\":\"v2\"}",
"resources": "{\"service.name\":\"OtlpExporterExample\",\"telemetry.sdk.language\":\"java\",\"telemetry.sdk.name\":\"opentelemetry\",\"telemetry.sdk.version\":\"1.18.0\"}",
"__time__": "1663913736"
}

接收 OTLP Logs/Metrics/Traces (v2)

注意:目前v2 pipeline尚不支持otlp logs请求,会丢弃数据。

  • 采集配置
enable: true
version: v2
inputs:
- Type: service_http_server
Format: "otlp_logv1"
Address: "http://127.0.0.1:12344"
- Type: service_http_server
Format: "otlp_metricv1"
Address: "http://127.0.0.1:12345"
- Type: service_http_server
Format: "otlp_tracev1"
Address: "http://127.0.0.1:12346"
flushers:
- Type: flusher_stdout
OnlyStdout: true

接收字节流数据

  • 采集配置
enable: true
version: v2
inputs:
- Type: service_http_server
Format: "raw"
Address: "http://127.0.0.1:12345"
QueryParams:
- "QueryKey"
QueryParamPrefix: "_param_prefix_"
HeaderParams:
- "HeaderKey"
HeaderParamPrefix: "_header_prefix_"
flushers:
- Type: flusher_stdout
OnlyStdout: true
Tags: true
  • 输入

手动构造请求

Terminal window
curl --location --request POST 'http://127.0.0.1:12345?QueryKey=queryValue' --header 'HeaderKey: headerValue' --header 'Content-Type: text/plain' --data 'test_measurement,host=server01,region=cn value=0.5'
  • 输出
[Event] event 1, metadata map[_header_prefix_HeaderKey:headerValue _param_prefix_QueryKey:queryValue], tags map[__hostname__:579ce1e01dea]
{
"eventType":"byteArray",
"name":"",
"timestamp":0,
"observedTimestamp":0,
"tags":{
},
"byteArray":"test_measurement,host=server01,region=cn value=0.5"
}

接收Pyroscope Agent 数据

Agent协议是否兼容
pyroscopde/nodjspprof
pyroscopde/.netpprof
pyroscopde/.net-newpprof
pyroscopde/javaJFR
pyroscopde/gopprof
pyroscopde/phpraw tire
pyroscopde/ebpfraw tire
pyroscopde/rustraw groups
pyroscopde/rubyraw groups
pyroscopde/pythonraw groups
  • 采集配置
    使用v1 版本表述使用protocol.Log 传递数据
enable: true
version: v1
inputs:
- Type: service_http_server
Format: "pyroscope"
Address: "http://:4040"
Endpoint: "/ingest"
Cluster: "sls-mall"
TagsInGroup: false
flushers:
- Type: flusher_stdout
OnlyStdout: true
Tags: true
  • 输入
  1. 进入Pyroscope Golang Example
  2. 编译 Pyroscope Golang Example
Terminal window
go build -o main .
  1. 启动Pyroscope Golang Example
Terminal window
./main
  • 输出
2023-02-21 14:15:20 {"name":"runtime.malg /Users/evan/sdk/go1.19.4/src/runtime/proc.go","stack":"runtime.newproc1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.newproc.func1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.systemstack /Users/evan/sdk/go1.19.4/src/runtime/asm_amd64.s","stackID":"afb4871c4cb30267","language":"go","type":"profile_mem","dataType":"CallStack","durationNs":"0","profileID":"e3620581-930d-4c51-8e52-cb752e75f1be","labels":"{\"__name__\":\"simple.golang.app\",\"_sample_rate_\":\"100\",\"cluster\":\"s=s-mall\"}","units":"count","valueTypes":"alloc_objects","aggTypes":"sum","val":"1260.00","__time__":"1676960120"}
2023-02-21 14:15:20 {"name":"runtime.malg /Users/evan/sdk/go1.19.4/src/runtime/proc.go","stack":"runtime.newproc1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.newproc.func1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.systemstack /Users/evan/sdk/go1.19.4/src/runtime/asm_amd64.s","stackID":"afb4871c4cb30267","language":"go","type":"profile_mem","dataType":"CallStack","durationNs":"0","profileID":"e3620581-930d-4c51-8e52-cb752e75f1be","labels":"{\"__name__\":\"simple.golang.app\",\"_sample_rate_\":\"100\",\"cluster\":\"s=s-mall\"}","units":"bytes","valueTypes":"alloc_space","aggTypes":"sum","val":"524496.00","__time__":"1676960120"}
2023-02-21 14:15:20 {"name":"runtime.malg /Users/evan/sdk/go1.19.4/src/runtime/proc.go","stack":"runtime.newproc1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.newproc.func1 /Users/evan/sdk/go1.19.4/src/runtime/proc.go\nruntime.systemstack /Users/evan/sdk/go1.19.4/src/runtime/asm_amd64.s","stackID":"afb4871c4cb30267","language":"go","type":"profile_mem","dataType":"CallStack","durationNs":"0","profileID":"e3620581-930d-4c51-8e52-cb752e75f1be","labels":"{\"__name__\":\"simple.golang.app\",\"_sample_rate_\":\"100\",\"cluster\":\"s=s-mall\"}","units":"count","valueTypes":"inuse_objects","aggTypes":"sum","val":"1260.00","__time__":"1676960120"}
2023-02-21 14:15:20 {"name":"compress/flate.(*compressor).init /Users/evan/sdk/go1.19.4/src/compress/flate/deflate.go","stack":"compress/flate.NewWriter /Users/evan/sdk/go1.19.4/src/compress/flate/deflate.go\ncompress/gzip.(*Writer).Write /Users/evan/sdk/go1.19.4/src/compress/gzip/gzip.go\nruntime/pprof.(*profileBuilder).flush /Users/evan/sdk/go1.19.4/src/runtime/pprof/proto.go\nruntime/pprof.(*profileBuilder).pbSample /Users/evan/sdk/go1.19.4/src/runtime/pprof/proto.go\nruntime/pprof.(*profileBuilder).build /Users/evan/sdk/go1.19.4/src/runtime/pprof/proto.go\nruntime/pprof.profileWriter /Users/evan/sdk/go1.19.4/src/runtime/pprof/pprof.go","stackID":"d4e9448662480cdb","language":"go","type":"profile_mem","dataType":"CallStack","durationNs":"0","profileID":"e3620581-930d-4c51-8e52-cb752e75f1be","labels":"{\"__name__\":\"simple.golang.app\",\"_sample_rate_\":\"100\",\"cluster\":\"s=s-mall\"}","units":"count","valueTypes":"alloc_objects","aggTypes":"sum","val":"177.00","__time__":"1676960120"}

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