open-telemetry / open-telemetry/opentelemetry-java-instrumentation

Latency Overhead Issues When Using Redis Pipelines

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Java
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Description

lettuce-pipeline-demo.zip
Here is a demonstration of using Redis pipelines, which inserts 600,000 Redis subcommands(zset) in a single pipeline.

1. With Java Agent:
Pipeline execution completed. Execution time: 11127ms
2. Without Java Agent:
Pipeline execution completed. Execution time: 5167ms

I have observed that overall latency increases by approximately 40% with the Java Agent. I infer this is due to excessive invocations of the io.opentelemetry.instrumentation.lettuce.v5_1.OpenTelemetryTracing.OpenTelemetrySpan#start() method, resulting in a noticeable rise in latency.

Subsequently, I modified the Java Agent so that when using the pipeline in spring-data-redis, then only a single internal span named “pipeline” is generated, with the remaining detailed spans being omitted. Following this change, the overall call duration returned to normal. Should we provide a switch to selectively display the detailed spans within the pipeline?

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Research direction

Start with the attached lettuce-pipeline-demo.zip and the reported io.opentelemetry.instrumentation.lettuce.v5_1.OpenTelemetryTracing.OpenTelemetrySpan#start() path. Compare the detailed spans produced for the 600,000-command pipeline with the single “pipeline” span described in the report. Done means a documented switch can control detailed pipeline spans while preserving normal execution latency.

Written by the indexing model from the issue text.

Assessment

Tech stack
java, redis
Domain
backend, performance
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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