duckdb
grammars-v4
duckdb | grammars-v4 | |
---|---|---|
52 | 29 | |
16,902 | 9,803 | |
4.5% | 0.8% | |
10.0 | 9.6 | |
about 7 hours ago | 4 days ago | |
C++ | ANTLR | |
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.
duckdb
- 🪄 DuckDB sql hack : get things SORTED w/ constraint CHECK
- DuckDB: Move to push-based execution model (2021)
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DuckDB performance improvements with the latest release
I'm not sure if the fix is reassuring or not: https://github.com/duckdb/duckdb/pull/9411/files
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Building a Distributed Data Warehouse Without Data Lakes
It's an interesting question!
The problem is that the data is spread everywhere - no choice about that. So with that in mind, how do you query that data? Today, the idea is that you HAVE to put it into a central location. With tools like Bacalhau[1] and DuckDB [2], you no longer have to - a single query can be sharded amongst all your data - EFFECTIVELY giving you a lot of what you want from a data lake.
It's not a replacement, but if you can do a few of these items WITHOUT moving the data, you will be able to see really significant cost and time savings.
[1] https://github.com/bacalhau-project/bacalhau
[2] https://github.com/duckdb/duckdb
- DuckDB 0.9.0
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Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin · Pull Request #2393 · duckdb/duckdb (github.com)
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Show HN: Hydra 1.0 – open-source column-oriented Postgres
it depends on your query obviously.
In general, I did very deep benchmarking of pg, clickhouse and duckdb, and I sure didn't make stupid mistakes like this: https://news.ycombinator.com/item?id=36990831
My dataset has 50B rows and 2tb of data, and I think columnar dbs are very overhiped and I chose pg because:
- pg performance is acceptable, maybe 2-3x times slower than clickhouse and duckdb on some queries if pg is configured correctly and run on compressed storage
- clickhouse and duckdb start falling apart very fast because they specialized on very narrow type of queries: https://github.com/ClickHouse/ClickHouse/issues/47520 https://github.com/ClickHouse/ClickHouse/issues/47521 https://github.com/duckdb/duckdb/discussions/6696
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🦆 Effortless Data Quality w/duckdb on GitHub ♾️
This action installs duckdb with the version provided in input.
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Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
Duckdb: https://github.com/duckdb/duckdb - seems pretty popular, been keeping an eye on this for close to a year now.
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CSV or Parquet File Format
The Parquet-Go library is very complex, not yet success to use it. So I ask whether DuckDB can provide API https://github.com/duckdb/duckdb/issues/7776
grammars-v4
- Operadores de adição e subtração
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Visual Basic for Applications Language Specification [pdf]
Perhaps the one from ANTLR's collection [0] is a good start (there are also others ANTLR VB6 grammars documented elsewhere). It does require knowing ANTLR, but that should be less effort for someone already familiar with language implementation, particularly, the visitor pattern (my favorite reference [1]).
[0] https://github.com/antlr/grammars-v4/tree/master/vb6
[1] https://craftinginterpreters.com/representing-code.html
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Postgres Language Server: Implementing the Parser
Where is the SQLite test suite, please? I'd be very interested.
There are already SQL grammars, check https://github.com/antlr/grammars-v4 specifically in here I think https://github.com/antlr/grammars-v4/tree/master/sql I contributed to one of them, and I wrote my own for some personal work. Be warned, it's very involved, very complex and MSSQL is rather ill-defined.
Names bracket identifiers) in SQL are bloody awful. Sometimes square brackets are even compulsory, and why you can usually replace [...] with the SQL standard "..." , not always! Trust me, it gets worse.
I don't find antlr grammars to be brittle, and while they can lose in performance (by how much I don't know, perhaps quite considerably) they are very easy to maintain and I am very fortunate to have antlr to work with.
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Llama: Add Grammar-Based Sampling
This grammar "library" was cited as an example of what the format could look like:.
https://github.com/antlr/grammars-v4
There is everything from assembly and C++ to glsl and scripting languages, arithmetic, games, and other weird formats.
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Structured Output from LLMs (Without Reprompting!)
> Which brings me to the other approach: steering the LLM's output __as it is generating tokens__
A relevant PR:
https://github.com/ggerganov/llama.cpp/pull/1773
The plan is to support arbitrary grammar files to constrain tokens as they are generated, like the ones here:
https://github.com/antlr/grammars-v4
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SQL-Parsing
Have a look at jooq - I know this has been used to rewrite SQL from one dialect to another, so it MUST be capable of collating code activity metrics. Look here. Otherwise, you might want to look into writing your own parser. ANTLR has a T-SQL dialect parser script here.
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How should I prepare for AI-driven changes in the industry as a Software Engineering Manager
Find a Perl grammar file for ANTLR, like https://github.com/antlr/grammars-v4/tree/master/perl Save the grammar file as Perl.g4 in your project. Now, you can create the Kotlin program: import org.antlr.v4.runtime.* import org.antlr.v4.runtime.tree.ParseTree import java.io.File
- Can you create a cpp file in a program like you could a txt file?
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DELD: An experimental HTTP-Client
Antlr is another option. You could generate a parser using the JSON antlr grammar.
- Are there any resources available to convert a code from Basic to C++? need to do this for the sake of an assignment. anything will be helpful
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
tree-sitter-sql - SQL grammar for tree-sitter
datasette - An open source multi-tool for exploring and publishing data
lezer-snowsql
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
rewrite - Automated mass refactoring of source code.
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
tree-sitter-sql - SQL syntax highlighting for tree-sitter
datafusion - Apache DataFusion SQL Query Engine
go-mysql-server - A MySQL-compatible relational database with a storage agnostic query engine. Implemented in pure Go.