csv-parser
drizzle-orm
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csv-parser | drizzle-orm | |
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9 | 48 | |
1,399 | 19,712 | |
- | 11.8% | |
0.0 | 9.7 | |
3 months ago | 5 days ago | |
JavaScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
csv-parser
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Basic analytics with Vercel Postgres, Drizzle & Astro
Inside the API route, convert the CSV file to JSON with csv-parser
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Why my favourite API is a zipfile on the European Central Bank's website
https://github.com/mafintosh/csv-parser/pull/121 https://github.com/mafintosh/csv-parser/pull/151 https://github.com/mafintosh/csv-parser/issues/218
The author of the library probably has learned, the hard way many many lessons (and probably also decided to prioritize some of the requested issues / feature requests along the way).
The above is not meant as a ding on the project itself and I am sure it is used successfully by many people. The point here is that your claim that you can easily write a csv parser in 200 lines of code does not hold water. It's anything but easy and you should use a battle tested library and not reinvent the wheel.
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I have created a nextjs app which has multiple card column, i want to import data from csv file to this card. can somebody guide me? for reference i have attached some image what i want
If this were me, I'd probably add a getStaticProps function to the page, and then use the csv-parser library within this function to convert the CSV file into JSON data, and then return that JSON data from the getStaticProps function so the page can access it as props.
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Node.js - Streams and Promises
I started with using the external library csv-parser. However, since it is basically a wrapper around the base Node.js technologies I listed above I has the same problems working with my data that I will list below. I eventually uninstalled it and wrote my own light-weight version.
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Working with CSVs in Node.JS
I have found this CSV parser package and it almost works exactly like I need it. I've ran into 2 issues.
- Parsing large datasets into memory or database
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Effecient way for creating partition in large file to feed in to a node worker thread
I was using the [csv-parser](https://github.com/mafintosh/csv-parser) library to handle csv parsing in node. The file can be huge ranging from 50,000 to 500,000 lines, maybe even larger. I had to perform some computations on the csv, after this is submitted to the server for that I was thinking of dividing the csv into chunks which I could then provide to worker threads for performing the computation. The worker thread would get the number of lines to skip and then start reading the lines after that up to a particular limit. I create a read stream and pass the csv-parser in with the option of number of lines to skip. I tried to perform some benchmarks on it but could find no visible benefits between skipping lines and not skipping lines. Even if I read the whole file it was sometimes faster than reading the ending 30,000 lines.
- Can this problem be fixed with JS?
drizzle-orm
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A Software Engineer's Tips and Tricks #1: Drizzle
Enter Drizzle, a lightweight typesafe ORM for TypeScript that comes with one promise: If you know SQL — you know Drizzle.
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Get started with Drizzle ORM and Xata's Postgres service
Drizzle ORM is a very popular TypeScript ORM that provides type safe access to your database, automated migrations, and a custom data model definition.
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Shape Typing in Python
> being able to have a completely typesafe ORM such as Drizzle (https://orm.drizzle.team/) feels like a Rubicon moment, and touching anything else feels like a significant step backwards.
Alright, but there's nothing stopping you from having a completely typesafe ORM in python, is there?
Sure, there's isn't really one that everyone uses yet, but the python community tends to be a bit more cautious and slower to adopt big changes like that.
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Don't use your ORM entities for everything – embrace the SQL
Drizzle [1] comes pretty close the last time I checked.
[1]: https://orm.drizzle.team
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
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Exploring Astro DB
It's just SQL so you can take it out at any moment and move to any other DB provider. The package for working with Astro DB, @astrojs/db, includes Drizzle ORM so migration to a different provider should be relatively painless
- ORMs are nice but they are the wrong abstraction
- Drizzle TypeScript ORM
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Basic analytics with Vercel Postgres, Drizzle & Astro
Since Vercel's analytics pricing is a bit too expensive for my use case (where I hit the limit of 2,500 requests per month), and I didn't like using Google Analytics (not a big fan of Google), I decided to build my own analytics dashboard. Databases was something I didn't work with much before directly, so I decided to use an ORM, Drizzle, which is quite lightweight and easy to use.
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Edge Functions: Node and native NPM compatibility
do yourself a favor and ditch Prisma. It's a bloody mess of a project and codebase. I recommend https://github.com/drizzle-team/drizzle-orm to anyone that'll listen.
What are some alternatives?
xlsx-populate - Excel XLSX parser/generator written in JavaScript with Node.js and browser support, jQuery/d3-style method chaining, encryption, and a focus on keeping existing workbook features and styles in tact.
kysely - A type-safe typescript SQL query builder
PEG.js - PEG.js: Parser generator for JavaScript
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
parse-json - Parse JSON with more helpful errors
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
google-libphonenumber - The up-to-date and reliable Google's libphonenumber package for node.js.
knex-tree - Query hierarchical data structures in sql with knex
neat-csv - Fast CSV parser
MongoDB - The MongoDB Database
Jison - Bison in JavaScript.
hono - Web Framework built on Web Standards