partiql-lang-kotlin
loom
| partiql-lang-kotlin | loom | |
|---|---|---|
| 6 | 1 | |
| 532 | 879 | |
| -0.2% | - | |
| 9.3 | 2.7 | |
| 4 days ago | 4 months ago | |
| Kotlin | Clojure | |
| Apache License 2.0 | - |
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partiql-lang-kotlin
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Amazon Ion Specification
Ion is heavily used on the retail side of Amazon, but it's only recently started to appear in AWS products.
AWS is starting support PartiQL (https://partiql.org/) queries in some places and PartiQL uses Ion's type system internally.
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XTDB ‘Core2’ is an experimental, SQL-first, immutable database concept
Yep, that's exactly the vision here. One of the biggest sources of precedent and inspiration for us here is https://partiql.org/ which is picking up a fair bit of traction across AWS. Also see https://rockset.com/
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What is a Quantum Ledger Database?
QLDB allows you to create a ledger that acts similar to a schema or table space in a traditional database. Once you've created this ledger, you create a table through the SQL-like query language PartiQL that also enables you to interact with the data.
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Show HN: PRQL – A Proposal for a Better SQL
PartiQL[0] is an open source library that is a superset of SQL that I really like. It supports querying nested structures inside columns, so if a column contains some JSON data you can use the standard dot notation to query nested JSON data directly
[0] https://partiql.org/
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DynamoDB with PartiQL
PartiQL was introduced to AWS DynamoDB, with AWS making the announcement in 2020 making the life of developers easier, with the comfort of executing commands similar to SQL.
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Newcomer needs help with Dynamodb (PARTIQL)
I haven't tried it, but I'm pretty sure the problem is that timestamp (and it's various capitalizations) is a keyword in PartiQL (https://github.com/partiql/partiql-lang-kotlin/blob/master/lang/src/org/partiql/lang/syntax/LexerConstants.kt#L221). To get it to be interpreted as an attribute name, you need to enclose TimeStamp in double quotes.
loom
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XTDB ‘Core2’ is an experimental, SQL-first, immutable database concept
Datomic's original insight and value prop is code/data locality (the "how" is as you say – efficient distributed reads). Thereby interleaving the Datomic entity API with your dynamic application logic as if the entity graph was walkable like in-memory data structure, in contrast with big-join-up-front declarative/static query patterns you see in SQL that batch data access for efficiency. For example you could use aysylu/loom generic graph traversals against a datomic entity graph and the idea was that this would be efficient.
What are some alternatives?
rfcs - RFCs for major changes to EdgeDB
core2 - XTDB ‘Core2’ is an experimental, SQL-first, immutable database concept.
malloy - Malloy is an experimental language for describing data relationships and transformations.
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
partiql-ir-generator - PartiQL I.R. Generator (P.I.G.)
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
krangl - krangl is a {K}otlin DSL for data w{rangl}ing
logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.
Preql - An interpreted relational query language that compiles to SQL.
BQL - BQL: A Better Query Language, SQL Superset
ion-intellij-plugin - Support for Ion in Intellij IDEA.