Navigating a vast JSON dataset containing identical key names: A step-by-step guide

Question

Navigating a vast JSON dataset containing identical key names: A step-by-step guide

I am faced with a massive json file that has the following format:

    name: 'xxx',
    worth: [123, 456, 789]
    children: [
       {name: 'xxx',
       worth: [987, 654, 321],
       children: [
          {name: 'xxx',
          worth: [213, 546, 879],
          children: []}
       },
       {name: 'xxx',
       worth: [987, 654, 321],
       children: [
          name: 'xxx',
          worth: [213, 546, 879],
          children: []
       }],
    ]

The depth of children can go up to 10 layers deep. I have developed an angular component that displays the name and worth while taking the children as an Input to recursively call itself with their respective names and worth. However, I encounter maximum stack size errors using this method.

I am struggling with how to design a function that can iterate through this json until the children array is empty, displaying the name and worth of each node along the way. While recursion seems like the logical choice for this task, I am having trouble implementing it...

arrays json angular typescript

Answer 1

Answer №1

If we assume that your root object represents a single child entity, the code structure would be as follows:

const child = {
  name: "xxx1",
  worth: [123, 456, 789],
  children: [
    {
      name: "xxx2",
      worth: [987, 654, 321],
      children: [
        {
          name: "xxx3",
          worth: [213, 546, 879],
          children: []
        }
      ]
    },
    {
      name: "xxx4",
      worth: [987, 654, 321],
      children: [
        {
          name: "xxx5",
          worth: [213, 546, 879],
          children: []
        }
      ]
    }
  ]
};

const sum = (arr) => arr.reduce((a, b) => a + b, 0);

function process_child(child, result) {
  const { name, worth, children } = child;
  result.push({ name, worth: sum(worth) });

  for (const c of children) {
    process_child(c, result);
  }

  return result;
}

const children = process_child(child, []);
console.table(children);

The process_child function is designed to handle a single child input along with an empty list of results. It iterates through all nested children to populate the result list. The final outcome is an array of objects structured as {name, worth}, which can be utilized according to your requirements.

This particular challenge does not pertain specifically to Angular. Your Angular component should primarily focus on consuming the data produced by this function in a passive manner.

For a live demonstration, you can view the working example on CodeSandbox. The output is shown on the page in JSON format.

Answer 2

If we assume that your root object represents a single child entity, the code structure would be as follows:

const child = {
  name: "xxx1",
  worth: [123, 456, 789],
  children: [
    {
      name: "xxx2",
      worth: [987, 654, 321],
      children: [
        {
          name: "xxx3",
          worth: [213, 546, 879],
          children: []
        }
      ]
    },
    {
      name: "xxx4",
      worth: [987, 654, 321],
      children: [
        {
          name: "xxx5",
          worth: [213, 546, 879],
          children: []
        }
      ]
    }
  ]
};

const sum = (arr) => arr.reduce((a, b) => a + b, 0);

function process_child(child, result) {
  const { name, worth, children } = child;
  result.push({ name, worth: sum(worth) });

  for (const c of children) {
    process_child(c, result);
  }

  return result;
}

const children = process_child(child, []);
console.table(children);

The process_child function is designed to handle a single child input along with an empty list of results. It iterates through all nested children to populate the result list. The final outcome is an array of objects structured as {name, worth}, which can be utilized according to your requirements.

This particular challenge does not pertain specifically to Angular. Your Angular component should primarily focus on consuming the data produced by this function in a passive manner.

For a live demonstration, you can view the working example on CodeSandbox. The output is shown on the page in JSON format.

Navigating a vast JSON dataset containing identical key names: A step-by-step guide

Answer №1

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