Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add migration note on thread pool API changes #29192

Merged
merged 5 commits into from
Apr 28, 2018
Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 15 additions & 0 deletions docs/reference/migration/migrate_7_0/api.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -22,3 +22,18 @@ The following parameters starting with underscore have been removed:
Instead of these removed parameters, use their non camel case equivalents without
starting underscore, e.g. use `version_type` instead of `_version_type` or `versionType`.

==== Thread pool info

In previous versions of Elasticsearch, the thread pool info returned in the
<<cluster-nodes-info,nodes info API>> returned `min` and `max` values reflecting
the configured minimum and maximum number of threads that could be in each
thread pool. The trouble with this representation is that it does not align with
the configuration parameters used to configure thread pools. For
<<modules-threadpool,scaling thread pools>>, the minimum number of threads is
configured by a parameter called `core` and the maximum number of threads is
configured by a parameter called `max`. For <<modules-threadpool,fixed thread
pools>>, there is only one configuration parameter along these lines and that
parameter is called `size`, reflecting the fixed number of threads in the
pool. This discrepancy between the API and the configuration parameters has been
rectified. Now, the API will report `core` and `max` for scaling thread pools,
and `size` for fixed thread pools.