Add initial Table APIs to local.FeatureStore#2
Merged
Conversation
added 4 commits
May 4, 2020 14:22
The python local.FeatureStore can read a CSV and turn it into a table. The local table can performed indexed look ups via a primary key. The local.FeatureStore will grow into a version of StreamSQL that can be used locally, though it will likely have a subset of the core functionality since it doesn't make much sense to have Kafka and other streaming primitives locally. The local.Table is a thin wrapper over a pandas dataframe to allow us to use the pandasql package to mimic core feature store functionality locally.
materialize_table allows new tables to be created by applying a SQL query on existing ones.
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
local.FeatureStore can create tables from CSV files and materialize new ones using SQL.