zetasql
dex-lang
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zetasql | dex-lang | |
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15 | 25 | |
2,127 | 1,534 | |
1.5% | 0.1% | |
0.0 | 8.8 | |
about 2 months ago | 18 days ago | |
C++ | Haskell | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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zetasql
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Mangle, a programming language for deductive database programming
There are even table-valued functions.
These things are not widespread, and differ by implementation, and the way these are used by clients are copy-and-paste. Something as thoughtful as ZetaSQL https://github.com/google/zetasql does not have mechanisms for structuring (modules, packages, interfaces). SQL will not, cannot evolve into such a direction (or, anything that evolves, will not be recognizable as SQL).
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goccy/bigquery-emulator: BigQuery emulator server implemented in Go
Hi, I develop a BigQuery emulator ( https://github.com/goccy/bigquery-emulator ) from early 2022. It is written in Go, but can be used from bq command line tool and other language's (e.g. Python ) client SDK after installing docker image or released binary. It currently supports over 200 of the nearly 330 standard functions in BigQuery and all data types except GEOGRAPHY ( see https://github.com/goccy/go-zetasqlite#status for details ). ZetaSQL ( https://github.com/google/zetasql ) is used to parse and analyze queries.
- ZetaSQL – Analyzer Framework for SQL
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ZetaSQL - Question about using local service
We are using a Python client binding for ZetaSQL GRPC local service in our application to analyze statements and extract referenced tables and output columns.
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Parsing SQL
If you don't want to do it yourself, there's this:
https://github.com/google/zetasql
Parsing is huge but it's amazing how small a part of the job it is. This library isn't even the half of it.
- SQLGlot: SQL parser, transpiler, optimizer – translate to Presto, Spark, Hive
- ZetaSQL - Analyzer Framework for SQL
- ZetaSQL
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New PostgreSQL Interface for Cloud Spanner
I mean the postgres parser (and semantic changes) for ZetaSQL. The zetasql parser is in a file called zetasql/parser/bison_parser.y, I strongly suspect they now have a file called something like zetasql/pgparser/bison_parser.y as well (and much more pervasive changes to support the deeper differences in the dialects).
This is the lexical structure and syntax docs for the new postgres inteface to cloud spanner:
https://cloud.google.com/spanner/docs/postgresql/lexical
And this is the zetasql lexical structure and syntax docs:
https://github.com/google/zetasql/blob/master/docs/lexical.m...
Notice that the new PG docs are an edit of the Zeta ones - evidence that my hypothesis is correct.
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Open Source SQL Parsers
zetasql implements BigQuery, Spanner, and Dataflow dialects.
dex-lang
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Thinking in an Array Language
A really nice approach to this I've seen recently is Google's research on [Dex](https://github.com/google-research/dex-lang).
- Function Composition in Programming Languages – Conor Hoekstra – CppNorth 2023 [video]
- Dex Lang: Research language for array processing in the Haskell/ML family
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Dex
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[D] PyTorch 2.0 Announcement
Have you tried Dex? https://github.com/google-research/dex-lang It is in a relatively early stage, but it is exploring some interesting parts of the design space.
- Mangle, a programming language for deductive database programming
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Looking for languages that combine algebraic effects with parallel execution
I think [Dex](https://github.com/google-research/dex-lang) might be along the lines of what you're looking for, although its focus is on SIMD GPU-style parallelism rather than thread-level parallelism.
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“Why I still recommend Julia”
Dex proves indexing correctness without a full dependent type system, including loops.
See: https://github.com/google-research/dex-lang/pull/969
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Haskell for Artificial Intelligence?
In case you want to see one research direction that's combining practical machine learning and functional programming, one of the authors of JAX (and the main author of its predecessor, Autograd) is writing Dex (https://github.com/google-research/dex-lang), a functional language for array processing. The compiler itself is written in Haskell. JAX is one of the most popular libraries for doing a lot of machine learning these days, along with Tensorflow and PyTorch. You might also want to see the bug in the JAX repo about adding Haskell support, for some context: https://github.com/google/jax/issues/185
What are some alternatives?
sqlparse - A non-validating SQL parser module for Python
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Apache Calcite - Apache Calcite
futhark - :boom::computer::boom: A data-parallel functional programming language
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
julia - The Julia Programming Language
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
pgsql-parser - PostgreSQL Query Parser for Node.js
hasktorch - Tensors and neural networks in Haskell
sqlite-parser - JavaScript implentation of SQLite 3 query parser
CIPs