2 Repos
Awesome GitHub RepositoriesKey-Based Merging
Synchronization of datasets by matching unique keys to perform inserts or updates.
Distinct from Atomic Key Updaters: Candidates focus on key existence or partitioning; this is about the upsert/sync logic during merging.
Explore 2 awesome GitHub repositories matching data & databases · Key-Based Merging. Refine with filters or upvote what's useful.
Awesome Key-Based Merging GitHub Repositories
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- lancedb/lancedb
lancedb/lancedb
9,031Auf GitHub ansehenLanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters
Synchronizes incoming datasets with existing tables by matching keys to insert or update records.
HTMLapproximate-nearest-neighbor-searchimage-searchnearest-neighbor-search - tidyverse/dplyr
tidyverse/dplyr
5,034Auf GitHub ansehendplyr is an R data manipulation library that provides a grammar for transforming tabular data frames. It functions as an in-memory data frame processor and a relational data algebra tool, using a consistent set of verbs to filter, select, and summarize data. The project includes a SQL translation engine that converts high-level data manipulation expressions into optimized queries. This allows users to perform transformations directly on remote relational databases and cloud storage without pulling data locally. The library covers a broad range of tabular operations, including column mutation
Merges datasets by matching unique keys to perform synchronized inserts or updates.
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