awesome-graphql
Apache Calcite
awesome-graphql | Apache Calcite | |
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5 | 28 | |
14,412 | 4,368 | |
- | 1.1% | |
6.9 | 9.0 | |
about 1 month ago | 3 days ago | |
Java | ||
- | Apache License 2.0 |
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awesome-graphql
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How to produce type-safe GraphQL queries using TypeScript 💥
For further reading, you can explore more tools in the GraphQL ecosystem by looking through the awesome-graphql list.
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Graphql best practices, resource suggestions?
Picked the https://github.com/chentsulin/awesome-graphql as a reference to digging into the latest on graphql etc.
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Postgres wire compatible SQLite proxy
https://github.com/chentsulin/awesome-graphql#tools---securi...
... W3C SOLID > Authorization and Access Control:
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GraphQL - Diving Deep
And today, there is a GraphQL foundation which tries to ensure that GraphQL and the ecosystem thrives over time, a huge landscape of projects, a huge set of tools like this and this and these can just be few of the examples on how big the ecosystem has grown with a lot of languages, frameworks, tools supporting it as a first class citizen, so much so that even some of the huge enterprises are using it today as part of their stack.
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Build a chat app with GraphQL Subscriptions & TypeScript: Part 2
Also, here's an awesome list of resources to learn further!
Apache Calcite
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Data diffs: Algorithms for explaining what changed in a dataset (2022)
> Make diff work on more than just SQLite.
Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).
[0] https://calcite.apache.org/
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Apache Baremaps: online maps toolkit
Yes, planetiler rocks and the memory mapped collections enabled us to remove our dependency to rocksdb.
From my perspective, planetiler started as an effort to generate vector tiles from the OpenMapTile schema as fast as possible (pbf -> mvt). By contrast, Baremaps started as an effort to create a new schema and style from the ground up. In this regard, having a database (pbf -> db <- mvt) enables to live reload changes made in the configuration files. The database has a cost, but also comes with additional advantages (updates, dynamic data, generation of tiles at zoom levels 16+, etc.).
That being said, I think the two projects overlap and I hope we will find opportunities to collaborate in the future. For instance, whereas PostgreSQL is still required in Baremaps, I recently ported a lot of the ST_ function of Postgis to Apache Calcite with the intent to execute SQL on fast memory mapped collection.
https://github.com/apache/calcite/blob/main/core/src/main/ja...
A planet wide import in Postgis currently takes about 4 hours with the COPY API (easy to parallelize) followed by about 12 hours of simplification in Postgis (not easy to parallelize). I will try to publish a detailed benchmark in the future.
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How to manipulate SQL string programmatically?
Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST.
- Can SQL be used without an RDBMS?
- Apache Calcite
- Want to contribute more to open source projects.
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CITIC Industrial Cloud — Apache ShardingSphere Enterprise Applications
The SQL Federation engine contains processes such as SQL Parser, SQL Binder, SQL Optimizer, Data Fetcher and Operator Calculator, suitable for dealing with co-related queries and subqueries cross multiple database instances. At the underlying layer, it uses Calcite to implement RBO (Rule Based Optimizer) and CBO (Cost Based Optimizer) based on relational algebra, and query the results through the optimal execution plan.
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Postgres wire compatible SQLite proxy
Awesome to see work in the DB wire compatible space. On the MySQL side, there was MySQL Proxy (https://github.com/mysql/mysql-proxy), which was scriptable with Lua, with which you could create your own MySQL wire compatible connections. Unfortunately it appears to have been abandoned by Oracle and IIRC doesn't work with 5.7 and beyond. I used it in the past to hack together a MySQL wire adapter for Interana (https://scuba.io/).
I guess these days the best approach for connecting arbitrary data sources to existing drivers, at least for OLAP, is Apache Calcite (https://calcite.apache.org/). Unfortunately that feels a little more involved.
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Launch HN: Hydra (YC W22) – Query Any Database via Postgres
For anyone interested, Apache Calcite[0] is an open source data management framework which seems to do many of the same things that Hydra claims to do, but taking a different approach. Operating as a Java library, Calcite contains "adapters" to many different data sources from existing JDBC connectors to Elasticsearch to Cassandra. All of these different data sources can be joined together as desired. Calcite also has it's own optimizer which is able to push down relevant parts of the query to the different data sources. However, you get full SQL on data sources which don't support it, with Calcite executing the remaining bits itself.
Unfortunately, I would not be too surprised if Calcite was found to be less performance-optimized than Hydra. That said, there are users of Calcite at Google, Uber, Spotify, and others who have made great use of various parts of the framework.
[0] https://calcite.apache.org/
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Anyone know of any software that can help in designing then outputting to various database
Abstraction Layer - You can use something like Calcite to abstract out your data storage. https://calcite.apache.org/
What are some alternatives?
Neo4j - Graphs for Everyone
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
apollo-server - 🌍 Spec-compliant and production ready JavaScript GraphQL server that lets you develop in a schema-first way. Built for Express, Connect, Hapi, Koa, and more.
ANTLR - ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
express-graphql - Create a GraphQL HTTP server with Express.
Presto - The official home of the Presto distributed SQL query engine for big data
postlite - Postgres wire compatible SQLite proxy.
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
graphql-subscriptions - :newspaper: A small module that implements GraphQL subscriptions for Node.js
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
graphQLChat - A simple live GraphQL chat app built using React, Node, Apollo Server/Client and TypeGraphQL.
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data