0

I want to improve the table performance with a large dataset by removing all nested objects which the table doesn't use. I don't want to name the keys because they will vary from dataset to dataset. This needs to be a reusable helper function that removes objects based on typeof rather than a key.

Example data:

const data = [
 { test: 1, notes: [] },
 { test: 2, notes: [] },
 { test: 3, notes: [] }
];

expected result

[
 { test: 1 },
 { test: 2 },
 { test: 3 }
];

What I've tried:

 const simpleRows = (arr) => {
 var rows = arr.map(({ notes, ...keepAttrs }) => keepAttrs);
 return rows;
 };
 const rows = simpleRows(data) // This works but I have hardcoded the key 'notes' which I don't want

What is the most efficient way to remove all objects from each object in an array of objects in a large dataset (~10000 objects in the array) without hardcoding the key, and without an external library?

Thanks

TBA
2,0254 gold badges17 silver badges28 bronze badges
asked Nov 14, 2021 at 6:38
2
  • do you want to remove every property that is an array? Commented Nov 14, 2021 at 6:43
  • 1
    @RameshReddy yes every property that is an array from each object Commented Nov 14, 2021 at 6:47

1 Answer 1

1

You can filter the entries of each object and create a new object from the filtered entries:

const data = [
 { test: 1, notes: [] },
 { test: 2, notes: [] },
 { test: 3, notes: [] }
]
const result = data.map(obj => Object.fromEntries(Object.entries(obj).filter(([_, v]) => !Array.isArray(v))))
console.log(result)

answered Nov 14, 2021 at 6:47
Sign up to request clarification or add additional context in comments.

Comments

Your Answer

Draft saved
Draft discarded

Sign up or log in

Sign up using Google
Sign up using Email and Password

Post as a guest

Required, but never shown

Post as a guest

Required, but never shown

By clicking "Post Your Answer", you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.