| quix | sqlglot | |
|---|---|---|
| 1 | 56 | |
| 267 | 5,679 | |
| 0.7% | - | |
| 7.4 | 9.9 | |
| 6 months ago | 4 days ago | |
| TypeScript | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
quix
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Aerospike Data Browser
Aerospike Data Browser is basically a stack that consists of Quix, Presto, and the Aerospike Connector for Presto, and is dockerized. Figure 1 depicts an under the hood view. The Quix UI provides a DB Explorer and a SQL editor, in addition to a notebook manager for managing your notebooks. Presto exposes a JDBC interface to Quix and uses the Aerospike Connector to translate SQL queries into API calls to the DB. Building a stack with the aforementioned components for a desktop installation is not trivial by any means. Presto can scale to 100’s of nodes for a large scale deployment, but we wanted to limit the data browser to a single Presto instance that would run both the coordinator and worker in the developer's desktop environment. Our initial size of the Presto docker image was over 2GB, which was not acceptable. Hence, we stripped out all but the Aerospike connector from the plugin directory. Similarly, we had to downsize the Quix connector. Finally, we got the compressed docker image size under 1GB. We also made a design decision to default to schema inference so that a user that does not know the schema apriori is not left out.
sqlglot
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The Future of MySQL is PostgreSQL: an extension for the MySQL wire protocol
This is probably referring to "zero changes to your driver code" and not "zero changes to the SQL you send over this driver".
Translating between SQL dialects is notoriously hard and attempts to translate [1] are working in 95% of cases. But the last 5% would require 5x amount of work. That's because "SQL dialect" also includes weird edge cases of type inference of things like COALESCE(5, FALSE) and emulation of system catalogs (pg_catalog, information_schema).
[1] https://github.com/tobymao/sqlglot
- FLaNK AI Weekly 18 March 2024
- SQLGlot: No-dependency SQL parser, transpiler, optimizer for 21 SQL dialects
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Transpile Any SQL to PostgreSQL Dialect
Recommend checking out https://github.com/tobymao/sqlglot if you are interested in this capability for other SQL dialects
Tools like this are helpful for:
- Rendering SQL in a consistent way, eg for snapshot testing
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This Week In Python
sqlglot – Python SQL Parser and Transpiler
- SQLglot: Python SQL Parser and Transpiler
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Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery.
- A Primer on SQLGlot's Abstract Syntax Tree
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Show HN: SQL Polyglot
Cool! Is this built with sqlglot[1] on the back end?
[1] https://github.com/tobymao/sqlglot
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sqlglot - Amazing SQL parsing library
Wanted to give sqlglot a shoutout as it saved me a ton of time.
What are some alternatives?
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
sqloxide - Python bindings for sqlparser-rs
aerospike-data-browser - Data Browser for AerospikeDB
JSqlParser - JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -
zetasql - ZetaSQL - Analyzer Framework for SQL
duckdb - DuckDB is an in-process SQL OLAP Database Management System
criterion.rs - Statistics-driven benchmarking library for Rust
py2many - Transpiler of Python to many other languages
sirix - SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.