Skip to content

Language server caching over-disposes LS instances, breaks on interpreter change #11317

Description

#8815 introduced LS caching and ref counting, such that the interactive window can reference the same language server as the regular code and keep it around until it's no longer needed. The keys are resource scoped, which are good for ensuring things are shared and the minimum number of LSs are spawned.

Unfortunately, the activeServer and resource properties are essentially "globals" to the extension as a whole. The current code kills LSs as the user moves around different files to save resources, however this breaks multi-root workspaces which rely on being able to navigate around and still get code completions. (e.g., I open two files, one in each workspace, and switch between them)

Additionally, I believe the current code over-disposes, leading to a scenario where on the first active LS change, the next spawned server cannot be killed and isn't configured correctly, leading both to #5132 (comment) and a related bug where the next-spawned server's interpreter doesn't change.

The solution here is to eliminate activeServer and resource and make LSs fully resource-scoped (only accessible by key). Once a LS is no longer referenced (no handles from the interactive window, and its workspace no longer exists), the LS can be thrown away.

Activity

  1. added
    bugIssue identified by VS Code Team member as probable bug
    triage-neededNeeds assignment to the proper sub-team
    on Apr 22, 2020
  2. ghost removed
    triage-neededNeeds assignment to the proper sub-team
    on Apr 22, 2020
  3. ErwanDL commented on May 20, 2020

    @ErwanDL

    Are there any advancements on this bug ? This is actually a major painpoint for me, as it prevents me from being able to use MLPS on my main Python project at work (which uses multi-root workspaces).

    Unless you deem this is a really advanced bugfix, I would love to help on it. Any guidance on where to start working ? 😃

  4. NikEyX commented on Jun 8, 2020

    @NikEyX

    I have the same issue actually. Any progress or workarounds for this?

  5. kcajf commented on Jun 8, 2020

    @kcajf

    I'm also facing this issue in my multi-root python workspace. Interested in any fix / workaround!

  6. dixonqmg commented on Jun 14, 2020

    @dixonqmg

    Same problem here. It makes multi-root workspaces completely unusable for python, you might've as well not bothered implementing it.

  7. nfrasser commented on Jul 17, 2020

    @nfrasser

    Has anyone tried the new Pylance extension? So far it seems to be working with multi-root workspaces for me.

  8. karrtikr commented on Oct 22, 2021

    @karrtikr

    Is this still an issue once Microsoft Language Server is gone?

  9. dixonqmg commented on Oct 22, 2021

    @dixonqmg

    No it’s fixed

  10. jakebailey commented on Oct 23, 2021

    @jakebailey
    MemberAuthor

    I worked around this for Pylance, but I think the bad code is still there for notebooks. Would have to check (but with recent notebook and LS planning, it shouldn't be a problem).

  11. locked as resolved and limited conversation to collaborators on Nov 26, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    bugIssue identified by VS Code Team member as probable bugregressionBug didn't exist in a previous releaseverifiedVerification succeeded

    Type

    No type

    Projects

    No projects

      Milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions