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Airtable database
Airtable database









airtable database
  1. AIRTABLE DATABASE CODE
  2. AIRTABLE DATABASE FREE

AIRTABLE DATABASE CODE

Makes me wonder if anyone has written code that autogenerates a GraphQL schema from an Airtable base. But I see that there are new solutions for getting the structure of Airtable databases that don’t depend on the API. That will depend on your data model (and custom queries and mutations in your GraphQL resolvers) since there are several ways to model historical data.īecause I’m working in a specific problem domain, my code isn’t general.

airtable database

AIRTABLE DATABASE FREE

Neo4j has advanced algorithms built-in with excellent documentation, including free books.Īlso, Neo4j makes it easier to track historical data, which one can choose to include or exclude in queries. I got quite fancy with the deduplication: for example, calculating perceptual hashes of images from different bases and removing those that were 70% similar.īut I think the graph database approach is going to be much more capable because one will be able to run graph algorithms inside Neo4j to find and connect similar data. Last year I wrote a fair bit of Elixir code to export a collection of Airtable bases, merge and deduplicates data across the bases in-memory, and then exports it back to an Airtable “meta-base”. I’m sure you can achieve something similar with Typescript and other languages. So whenever I change my schema, the Elm compiler can pinpoint the code changes I need to make (beyond the autogenerated changes). I have most of my backend and most of my frontend auto-generated with Neo4j’s GRANDstack and elm-graphql respectively. During the transfer process I rename all Airtable record ids to a hash of their content that way I deduplicate data across bases.īoth my web app and REPL are written in Elm, which is a statically typed language. These mutations use Cypher MERGEs, so duplicate nodes and relationships aren’t created when I import the same data. I intend to keep using Airtable to edit data, so I wrote a command line program (actually a REPL so that the Airtable data is held in memory between commands) that exports data from multiple Airtable bases and imports it into a single Neo4j database through GraphQL mutations. I’ll test deploying it in the next few days using Netlify functions and a Neo4j Sandbox. I’m still in the development phase, with everything running on my laptop. It does not store any personal data.Hi just moved from Airtable as a backend to Neo4j as a backend, with the latter sitting behind a GraphQL server.

airtable database

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airtable database

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Airtable database