HTTP数据

ServiceInput示例插件

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

配置参数

参数	类型	是否必选	说明
Type	String	是	插件类型，固定为`service_http_server`
Format	String	否	数据格式。支持格式：`sls`、`prometheus`、`influxdb`、`otlp_logv1`、 `otlp_metricv1`、`pyroscope`、`statsd` v2版本支持格式:`raw`、`prometheus`、`otlp_logv1`、`otlp_metricv1`、`otlp_tracev1` 说明：`raw`格式以原始请求字节流传输数据
Address	String	否	监听地址。
Path	String	否	接收端点, 如Format 为 `otlp_logv1` 时, 默认端点为`/v1/logs` 。
ReadTimeoutSec	String	否	读取超时时间。默认取值为:`10s`。
ShutdownTimeoutSec	String	否	关闭超时时间。默认取值为:`5s`。
MaxBodySize	String	否	最大传输 body 大小。默认取值为:`64k`。
UnlinkUnixSock	String	否	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`。
FieldsExtend	Boolean	否	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	否	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
QueryParamPrefix	String	否	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	否	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
HeaderParamPrefix	String	否	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
DisableUncompress	Boolean	否	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
Tags	map[String]String	否	输出数据默认携带标签仅v1版本有效
DumpData	Boolean	否	[开发使用] 将接收的请求存储于本地文件, 默认取值为:`false`
DumpDataKeepFiles	Int	否	[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
AllowUnsafeMode	Boolean	否	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.java、OtlpExporterExample.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

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 兼容性说明

Agent	协议	是否兼容
pyroscopde/nodjs	pprof	是
pyroscopde/.net	pprof	是
pyroscopde/.net-new	pprof	是
pyroscopde/java	JFR	是
pyroscopde/go	pprof	是
pyroscopde/php	raw tire	是
pyroscopde/ebpf	raw tire	是
pyroscopde/rust	raw groups	是
pyroscopde/ruby	raw groups	是
pyroscopde/python	raw groups	是

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

进入Pyroscope Golang Example
编译 Pyroscope Golang Example
Terminal window
```
go build -o main .
```
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"}