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Igor a5abd88e1d Optimize Logs SDK BatchProcessor (#6569)
Towards: https://github.com/open-telemetry/opentelemetry-go/issues/6382

This PR optimizes Logs SDK BatchProcessor.

## Why? <!-- was i so blind -->

Batch processor does not check if buffer exporter is full, instead it
clones records to buffer, then tries to push them to buffer exporter,
and then buffer exporter will return false from EnqueueExport if it is
full.

It does not cause any performance issues when using NOOP exporter,
because it "exports" instantly. -> Buffer exporter input channel will
almost never be full.

But actual implementations of exporters are not going to act that way,
they need some time for export operation. And so buffer exporter will
get full fairly frequently. Each export attempt to buffer exporter costs
us copying entire queue inside of batch processor.

In order to catch this or similar performance bottleneck in the future,
new benchmark (`BatchSimulateExport`) was added which will use exporter
that will simulate non-instant export by sleeping for 5ms.

## Benchmarks

```sh
goos: linux
goarch: amd64
pkg: go.opentelemetry.io/otel/sdk/log
cpu: AMD Ryzen 9 7900X 12-Core Processor
                                 │   base.txt   │               new.txt               │
                                 │    sec/op    │   sec/op     vs base                │
Processor/Simple-24                 340.9n ± 2%   343.5n ± 5%        ~ (p=0.971 n=10)
Processor/Batch-24                  667.6n ± 2%   666.3n ± 4%        ~ (p=0.896 n=10)
Processor/BatchSimulateExport-24   4441.5n ± 5%   526.4n ± 4%  -88.15% (p=0.000 n=10)
Processor/SetTimestampSimple-24     360.0n ± 4%   351.0n ± 1%        ~ (p=0.247 n=10)
Processor/SetTimestampBatch-24      669.8n ± 3%   647.0n ± 5%        ~ (p=0.052 n=10)
Processor/AddAttributesSimple-24    383.9n ± 1%   386.6n ± 5%        ~ (p=0.138 n=10)
Processor/AddAttributesBatch-24     759.9n ± 6%   734.5n ± 5%        ~ (p=0.481 n=10)
Processor/SetAttributesSimple-24    369.9n ± 2%   372.4n ± 3%        ~ (p=0.643 n=10)
Processor/SetAttributesBatch-24     684.2n ± 4%   674.0n ± 8%        ~ (p=0.529 n=10)
geomean                             639.9n        499.9n       -21.88%

                                 │   base.txt   │                new.txt                 │
                                 │     B/op     │     B/op      vs base                  │
Processor/Simple-24                  450.0 ± 0%     450.0 ± 0%        ~ (p=1.000 n=10) ¹
Processor/Batch-24                 1.153Ki ± 2%   1.125Ki ± 1%   -2.41% (p=0.001 n=10)
Processor/BatchSimulateExport-24     649.0 ± 1%     473.0 ± 0%  -27.12% (p=0.000 n=10)
Processor/SetTimestampSimple-24      450.0 ± 0%     450.0 ± 0%        ~ (p=1.000 n=10) ¹
Processor/SetTimestampBatch-24     1.145Ki ± 2%   1.122Ki ± 2%   -2.01% (p=0.003 n=10)
Processor/AddAttributesSimple-24     450.0 ± 0%     450.0 ± 0%        ~ (p=1.000 n=10) ¹
Processor/AddAttributesBatch-24    1.169Ki ± 2%   1.148Ki ± 1%   -1.80% (p=0.000 n=10)
Processor/SetAttributesSimple-24     450.0 ± 0%     450.0 ± 0%        ~ (p=1.000 n=10) ¹
Processor/SetAttributesBatch-24    1.141Ki ± 2%   1.128Ki ± 2%   -1.11% (p=0.030 n=10)
geomean                              719.3          688.7        -4.24%
¹ all samples are equal

                                 │  base.txt  │               new.txt               │
                                 │ allocs/op  │ allocs/op   vs base                 │
Processor/Simple-24                1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/Batch-24                 1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/BatchSimulateExport-24   1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/SetTimestampSimple-24    1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/SetTimestampBatch-24     1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/AddAttributesSimple-24   1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/AddAttributesBatch-24    1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/SetAttributesSimple-24   1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
Processor/SetAttributesBatch-24    1.000 ± 0%   1.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                            1.000        1.000       +0.00%
¹ all samples are equal
```

## Benchmarks from issue (external)

```sh
goos: linux
goarch: amd64
pkg: github.com/pellared/spanevents-vs-logs
cpu: AMD Ryzen 9 7900X 12-Core Processor
           │ spanevents.txt │              logs.base.txt              │             logs.new.txt             │
           │     sec/op     │    sec/op      vs base                  │   sec/op     vs base                 │
/OTLP-24        41.40µ ± 3%   2935.15µ ± 9%  +6989.05% (p=0.000 n=10)   84.19µ ± 4%  +103.34% (p=0.000 n=10)
/STDOUT-24      39.55µ ± 4%    623.45µ ± 1%  +1476.21% (p=0.000 n=10)   89.51µ ± 3%  +126.29% (p=0.000 n=10)
/NOOP-24       13.179µ ± 2%     4.950µ ± 1%    -62.44% (p=0.000 n=10)   4.932µ ± 1%   -62.58% (p=0.000 n=10)
geomean         27.84µ          208.4µ        +648.68%                  33.37µ        +19.86%

           │ spanevents.txt │             logs.base.txt              │             logs.new.txt             │
           │      B/op      │     B/op       vs base                 │     B/op      vs base                │
/OTLP-24       98.90Ki ± 8%   210.44Ki ± 0%  +112.79% (p=0.000 n=10)   52.01Ki ± 0%  -47.41% (p=0.000 n=10)
/STDOUT-24     91.01Ki ± 0%   286.62Ki ± 0%  +214.93% (p=0.000 n=10)   81.67Ki ± 1%  -10.27% (p=0.000 n=10)
/NOOP-24       29840.0 ± 0%      240.0 ± 0%   -99.20% (p=0.000 n=10)     240.0 ± 0%  -99.20% (p=0.000 n=10)
geomean        64.01Ki         24.18Ki        -62.23%                  9.985Ki       -84.40%

           │ spanevents.txt │            logs.base.txt             │            logs.new.txt            │
           │   allocs/op    │  allocs/op   vs base                 │ allocs/op   vs base                │
/OTLP-24        699.0 ± 20%   2174.5 ± 1%  +211.09% (p=0.000 n=10)   249.5 ± 1%  -64.31% (p=0.000 n=10)
/STDOUT-24      646.5 ±  1%   4912.5 ± 0%  +659.86% (p=0.000 n=10)   872.5 ± 2%  +34.96% (p=0.000 n=10)
/NOOP-24      303.000 ±  0%    3.000 ± 0%   -99.01% (p=0.000 n=10)   3.000 ± 0%  -99.01% (p=0.000 n=10)
geomean         515.4          317.6        -38.37%                  86.76       -83.17%
```

```sh
goos: linux
goarch: amd64
pkg: github.com/pellared/spanevents-vs-logs
cpu: AMD Ryzen 9 7900X 12-Core Processor
           │ logs.base.txt │            logs.new.txt             │
           │    sec/op     │   sec/op     vs base                │
/OTLP-24     2935.15µ ± 9%   84.19µ ± 4%  -97.13% (p=0.000 n=10)
/STDOUT-24    623.45µ ± 1%   89.51µ ± 3%  -85.64% (p=0.000 n=10)
/NOOP-24       4.950µ ± 1%   4.932µ ± 1%        ~ (p=0.342 n=10)
geomean        208.4µ        33.37µ       -83.99%

           │ logs.base.txt │              logs.new.txt              │
           │     B/op      │     B/op      vs base                  │
/OTLP-24     210.44Ki ± 0%   52.01Ki ± 0%  -75.28% (p=0.000 n=10)
/STDOUT-24   286.62Ki ± 0%   81.67Ki ± 1%  -71.51% (p=0.000 n=10)
/NOOP-24        240.0 ± 0%     240.0 ± 0%        ~ (p=1.000 n=10) ¹
geomean       24.18Ki        9.985Ki       -58.70%
¹ all samples are equal

           │ logs.base.txt │             logs.new.txt             │
           │   allocs/op   │ allocs/op   vs base                  │
/OTLP-24       2174.5 ± 1%   249.5 ± 1%  -88.53% (p=0.000 n=10)
/STDOUT-24     4912.5 ± 0%   872.5 ± 2%  -82.24% (p=0.000 n=10)
/NOOP-24        3.000 ± 0%   3.000 ± 0%        ~ (p=1.000 n=10) ¹
geomean         317.6        86.76       -72.69%
¹ all samples are equal
```

---------

Co-authored-by: Robert Pająk <pellared@hotmail.com>
Co-authored-by: Damien Mathieu <42@dmathieu.com>
2025-04-09 14:36:25 +02:00
2021-05-13 11:23:29 -04:00
2025-01-29 14:20:03 -08:00
2025-03-05 22:23:10 -08:00
2019-05-16 12:05:27 -07:00
2025-03-05 22:23:10 -08:00

OpenTelemetry-Go

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OpenTelemetry-Go is the Go implementation of OpenTelemetry. It provides a set of APIs to directly measure performance and behavior of your software and send this data to observability platforms.

Project Status

Signal Status
Traces Stable
Metrics Stable
Logs Beta1

Progress and status specific to this repository is tracked in our project boards and milestones.

Project versioning information and stability guarantees can be found in the versioning documentation.

Compatibility

OpenTelemetry-Go ensures compatibility with the current supported versions of the Go language:

Each major Go release is supported until there are two newer major releases. For example, Go 1.5 was supported until the Go 1.7 release, and Go 1.6 was supported until the Go 1.8 release.

For versions of Go that are no longer supported upstream, opentelemetry-go will stop ensuring compatibility with these versions in the following manner:

  • A minor release of opentelemetry-go will be made to add support for the new supported release of Go.
  • The following minor release of opentelemetry-go will remove compatibility testing for the oldest (now archived upstream) version of Go. This, and future, releases of opentelemetry-go may include features only supported by the currently supported versions of Go.

Currently, this project supports the following environments.

OS Go Version Architecture
Ubuntu 1.24 amd64
Ubuntu 1.23 amd64
Ubuntu 1.24 386
Ubuntu 1.23 386
Ubuntu 1.24 arm64
Ubuntu 1.23 arm64
macOS 13 1.24 amd64
macOS 13 1.23 amd64
macOS 1.24 arm64
macOS 1.23 arm64
Windows 1.24 amd64
Windows 1.23 amd64
Windows 1.24 386
Windows 1.23 386

While this project should work for other systems, no compatibility guarantees are made for those systems currently.

Getting Started

You can find a getting started guide on opentelemetry.io.

OpenTelemetry's goal is to provide a single set of APIs to capture distributed traces and metrics from your application and send them to an observability platform. This project allows you to do just that for applications written in Go. There are two steps to this process: instrument your application, and configure an exporter.

Instrumentation

To start capturing distributed traces and metric events from your application it first needs to be instrumented. The easiest way to do this is by using an instrumentation library for your code. Be sure to check out the officially supported instrumentation libraries.

If you need to extend the telemetry an instrumentation library provides or want to build your own instrumentation for your application directly you will need to use the Go otel package. The examples are a good way to see some practical uses of this process.

Export

Now that your application is instrumented to collect telemetry, it needs an export pipeline to send that telemetry to an observability platform.

All officially supported exporters for the OpenTelemetry project are contained in the exporters directory.

Exporter Logs Metrics Traces
OTLP
Prometheus
stdout
Zipkin

Contributing

See the contributing documentation.

Languages
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