Dev/neo4j 4 #172
Merged
Dev/neo4j 4 #172
Conversation
This file contains 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
lmeyerov
added a commit
that referenced
this pull request
Mar 13, 2022
* infra(docker test): tweak * feat(neo4j 4): handle neo4j.time and neo4j.spatial * fix(logging): remove stray printfs
pull bot
pushed a commit
to admariner/pygraphistry
that referenced
this pull request
Mar 13, 2022
* infra(docker test): tweak * feat(neo4j 4): handle neo4j.time and neo4j.spatial * fix(logging): remove stray printfs
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
Feature:
-- Support Neo4j 4 driver data types of neo4j.time.* and neo4j.spatial.*
-- Coercion based on column uniformity to aid conversion to Arrow: native if homogeneous, str() if not
-- Starts basic bolt tests
Garden:
-- Remove deprecated docker cpu test harness
-- ... and tweak new
Issues:
-- One of the duration types left uninterpreted pending ISO 8601 duration parsing + end-to-end data pipeline (see pandas issue pandas-dev/pandas#36204 (comment) )
-- In practice, seems to stress rapidsai/cudf#5898 (comment) (
wontfixas gone in rapids 0.15+)