Add diagnostics_channel support for query and connection lifecycle events

I'd like to propose adding first-class TracingChannel support to pg and pg-pool, following the pattern established by undici in Node.js core.

TracingChannel is a higher-level API built on top of diagnostics_channel, specifically designed for tracing async operations. It provides structured lifecycle channels (start, end, error, asyncStart, asyncEnd) and handles async context propagation correctly, which was the missing piece that makes existing monkey-patching approaches fragile in real-world async Node.js applications.

Current instrumentation's today use IITM (import-in-the-middle) for ESM and RITM for CJS which has a few fragility concerns in today's ecosystem state, a few issues we have today:

Runtime lock-in: both RITM and IITM rely on Node.js-specific module loader internals (Module._resolveFilename, module.register()). They don't work on Bun or Deno, which implement the Node.js API surface but not the module loader internals.
ESM fragility: IITM is built on Node.js's module customization hooks, which are still evolving and have been a persistent source of breakage in the OTEL JS ecosystem.
Initialization ordering: both require instrumentation to be set up before pg is first require()'d. Get the order wrong and instrumentation silently does nothing, which is very hard to debug in production.
Bundling and Externalization: Users have to ensure their instrumented modules are externalized, which is becoming very difficult to guarantee with more and more frameworks bundling the server-side code into single executables, binaries or deployment files.

If pg emits structured events through TracingChannel, instrumentation libraries become subscribers, not patches. Each tool listens independently with no ordering concern, no clobbering, and no internal API dependency.

Before putting together a concrete proposal and PR, wanted to check: is there appetite for this? Happy to spec out channel names, payload shapes, and Node version compatibility considerations if so.

Definitely open to this! 👍 making instrumentation libraries not rely on monkey patching sounds wonderful.

Great to hear! this is what I was thinking:

Channels

We could have three TracingChannel instances, each providing start / end / asyncStart / asyncEnd / error:

Channel	Instruments	Package
`pg:query`	`Client.prototype.query`	`pg`
`pg:connection`	`Client.prototype.connect`	`pg`
`pg:pool:connect`	`Pool.prototype.connect`	`pg-pool`

Plus plain channels using diagnostic_channels.channel for non-lifecycle events if needed:

Channel	When
`pg:pool:release`	Client returned to pool
`pg:pool:remove`	Client destroyed/evicted

Payloads

Message payloads can be something like this, I had AI sketch them out but we could add more stuff or remove them if needed:

pg:query

{
  // start
  query: { text: string; name?: string; rowMode?: string }
  client: { database: string; host: string; port: number; user: string; processID?: number; ssl: boolean }

  // asyncEnd
  result?: { rowCount: number | null; command: string }

  // error
  error?: Error
}

`pg:connection`

{
  // start
  connection: { database: string; host: string; port: number; user: string; ssl: boolean | object }

  // asyncEnd
  serverVersion?: string
  processID?: number

  // error
  error?: Error
}

`pg:pool:connect`

{
  // start
  pool: { totalCount: number; idleCount: number; waitingCount: number; maxSize: number }

  // asyncEnd
  client?: { processID?: number; reused: boolean }

  // error
  error?: Error
}

Instrumentation Pattern

This is the cool part, providers/users or whoever wants to listen in to those tracing events can do something like this:

const dc = require('node:diagnostics_channel');
const queryChannel = dc.tracingChannel('pg:query');

queryChannel.subscribe({
  start(paylaod) {
    // start spans or logging or whatever
  },
  asyncEnd(payload) {
    // end the span or report the result in a log or analytics...
  },
 error(err) {
   // handle thrown errors
 }
})

For implementation I can start looking into making a PR and go from there, what do you think?

I think that all looks pretty good. Before you start - do you know what kind of performance overhead this would have? I assume allocating a single object for passing to the tracing chanel isn't a huge deal on each call, but interested in that. I can put more comments on the exact payload shapes here if you want, or I can just wait until there's a PR put up. One thing to note is pg currently supports all lts versions of node, so you might have to conditionally require or no-op stuff if it doesn't existin in older versions of node.

Yea there are a few strategies for addressing those:

haSubscribers property we can NO-OP if that's false and follow the regular codepath to avoid introducing overhead if there is no listeners, but generally tracing channels have very minimal idle overhead. It depends on what the listener is doing which in case of APM would be significant but wouldn't be a concern of pg itself I think. WDYT?
We can use process.getBuiltInModule if available to load in tracing channels, if they don't exist we can no-op. if getBuiltInModule doesn't exist we can also NO-OP since it likely won't have tracing channels either.

I can draft up a PR and we can discuss the payloads and specifics there since I have still to check what's possible there.

Add diagnostics_channel TracingChannel support to pg and pg-pool

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Add `diagnostics_channel` support for query and connection lifecycle events #3619

Channels

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pg:query

`pg:connection`

`pg:pool:connect`

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Add diagnostics_channel support for query and connection lifecycle events #3619

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brianc commented on Mar 2, 2026

logaretm commented on Mar 2, 2026

Channels

Payloads

pg:query

pg:connection

pg:pool:connect

Instrumentation Pattern

brianc commented on Mar 4, 2026

logaretm commented on Mar 4, 2026

sharon77242 commented on May 8, 2026

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Add `diagnostics_channel` support for query and connection lifecycle events #3619

`pg:connection`

`pg:pool:connect`