PS-11264: Vector index support in Data Dictionary#6000
Open
percona-mhansson wants to merge 1 commit into
Open
Conversation
percona-mhansson
force-pushed
the
vector-mvp-dd
branch
from
0bfeb35 to
af4cd72
Compare
Vector indexes have the type (algorithm) SE_SPECIFIC, and we add a column option in the data dictionary saying `vector_index=1;` which gets picked up by dedicated code in the data dictionary and the handler part of InnoDB. In the SQL layer, the vector index is very much a thing; there is an `HA_KEY_ALG_VECTOR`, an `HA_VECTOR` and a `KEYTYPE_VECTOR`. Extra SQL is added to display the type of a vector index as VECTOR rather than SE_SPECIFIC.
percona-mhansson
force-pushed
the
vector-mvp-dd
branch
from
af4cd72 to
fee791a
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Vector indexes have the type (algorithm) SE_SPECIFIC, and we add a column option in the data dictionary saying
vector_index=1;which gets picked up by dedicated code in the data dictionary and the handler part of InnoDB.In the SQL layer, the vector index is very much a thing; there is an
HA_KEY_ALG_VECTOR, anHA_VECTORand aKEYTYPE_VECTOR.Extra SQL is added to display the type of a vector index as VECTOR rather than SE_SPECIFIC.
I you try to open a table containing a vector index in a trunk Percona server, you get a failed assertion in InnoDB when a client connects. However, if you drop the index, you can connect just fine.