Analyzing a sizable JSON file serving as the data source for a PostgreSQL database

Question

Analyzing a sizable JSON file serving as the data source for a PostgreSQL database

Currently, I am working on a Next.js project that involves a large JSON file (~65,000 lines) serving as data for a Prisma Postgres database. The structure of the file includes entries like the following:

[
  {
    "NativeClass": "class-name",
    "Classes": [
      {
        "key1": "val1",
        "key2": "val2",
        ...
      },
      {
        ...
      }
    ]
  },
  {
    "NativeClass": "class-name2",
    "Classes": [
    ...
  }
]

I specifically need the data from "Classes" only after certain "class names", while discarding the rest.

My inquiry has two components:

What would be the most efficient approach to parsing the JSON file into SQL statements for populating the database?

As I am not well-versed in TypeScript, I have considered initially parsing the file in Python, but I am uncertain about inserting the data into the database afterwards.

Alternatively, I have contemplated utilizing the JSON.parse function in TypeScript, but I have encountered difficulties with it so far. I have attempted:

 // code snippet

However, I faced an error related to undefined values. I realize that when using a reviver, the inner children are transformed before the parent, making it challenging to determine when to extract the necessary data accurately. Is there a better method or am I misunderstanding how the parse function operates?

The second aspect of my query pertains to the process of parsing this JSON file concerning future updates to the file.

This is a personal side project aimed at enhancing my web development skills as a college student majoring in Software Development. Therefore, I seek guidance on the best practices for handling such situations where the JSON file may occasionally require updating, prompting a re-evaluation of the JSON and subsequent database updates.

If my knowledge appears insufficient, I want to express my efforts in researching before seeking assistance on this matter. Any insights provided would be greatly appreciated.

Thank you for your support.

typescript postgresql next.js prisma jsonparser

Answer 1

Answer №1

How about utilizing JSON functions in the following manner:

SELECT
    x ->> 'NativeClass' AS NativeClass,
    json_array_elements((x ->> 'Classes')::json) ->> 'key1' AS key1,
    json_array_elements((x ->> 'Classes')::json) ->> 'key2' AS key2
FROM
    json_array_elements('
[
  {
    "NativeClass": "foobar",
    "Classes": [ 
      {
        "key1": "val1",
        "key2": "val2"
      },
      {
        "key1": "val1",
        "key2": "val2"
      }
    ]
  },
  {
    "NativeClass": "xpto",
    "Classes" [ 
      {
        "key1"&: "val1",
        "key2" &: "val2"
      },
      {
        "key1": "val1",
        "key2":: "val2"
      }
    ]
  }
]') AS x

Result:

 nativeclass | key1 | key2 
-------------+------+------
 foobar      | val1 | val2
 foobar      | val1 | val2
 xpto        | val1 | val2
 xpto        | val1 | val2
(4 rows)

SQLFiddle

Answer 2

How about utilizing JSON functions in the following manner:

SELECT
    x ->> 'NativeClass' AS NativeClass,
    json_array_elements((x ->> 'Classes')::json) ->> 'key1' AS key1,
    json_array_elements((x ->> 'Classes')::json) ->> 'key2' AS key2
FROM
    json_array_elements('
[
  {
    "NativeClass": "foobar",
    "Classes": [ 
      {
        "key1": "val1",
        "key2": "val2"
      },
      {
        "key1": "val1",
        "key2": "val2"
      }
    ]
  },
  {
    "NativeClass": "xpto",
    "Classes" [ 
      {
        "key1"&: "val1",
        "key2" &: "val2"
      },
      {
        "key1": "val1",
        "key2":: "val2"
      }
    ]
  }
]') AS x

Result:

 nativeclass | key1 | key2 
-------------+------+------
 foobar      | val1 | val2
 foobar      | val1 | val2
 xpto        | val1 | val2
 xpto        | val1 | val2
(4 rows)

SQLFiddle

Answer 3

Answer №2

Let's start with a simple assumption: the Ingredients and Recipes types mentioned in your code may not be relevant to the current context.

If you're not very experienced with JSON, don't overcomplicate things. Here's a straightforward approach:

// Load and parse the file as shown in your sample code.
// Consider this example structure:

const json = [
  {
    "NativeClass": "class-name",
    "Classes": [
      {"key1": "val1", "key2": "val2"},
      {"key3": "val3", "key4": "val4"}
    ]
  },
  {
    "NativeClass": "class-name2",
    "Classes": [{"key5": "val5"}]
  }
];

// Filter records based on a specific value
const values = json
  .filter(item => item.NativeClass === "class-name")
  .flatMap(item => item.Classes);

console.log(values);
// ^ [{ key1: 'val1', key2: 'val2' }, { key3: 'val3', key4: 'val4' }]

// Insert these values into your database using Prisma:
const insertedRecords = await prisma.table.createMany({
  data: values,
});

This should cover the essentials.

Regarding updating the data as mentioned in your question, assuming it's for data seeding purposes, here's what I would suggest:

Create an npm script:

"prisma": {
  "seed": "ts-node prisma/seed.ts"
}

Delete old data and insert the updated data:

/* prisma/seed.ts */

await prisma.table.deleteMany();

// Parse the JSON...

// Insert the new data:
await prisma.table.createMany({
  data: values,
});

Check out Prisma's documentation on seeding for more detailed examples and information.

Answer 4

Let's start with a simple assumption: the Ingredients and Recipes types mentioned in your code may not be relevant to the current context.

If you're not very experienced with JSON, don't overcomplicate things. Here's a straightforward approach:

// Load and parse the file as shown in your sample code.
// Consider this example structure:

const json = [
  {
    "NativeClass": "class-name",
    "Classes": [
      {"key1": "val1", "key2": "val2"},
      {"key3": "val3", "key4": "val4"}
    ]
  },
  {
    "NativeClass": "class-name2",
    "Classes": [{"key5": "val5"}]
  }
];

// Filter records based on a specific value
const values = json
  .filter(item => item.NativeClass === "class-name")
  .flatMap(item => item.Classes);

console.log(values);
// ^ [{ key1: 'val1', key2: 'val2' }, { key3: 'val3', key4: 'val4' }]

// Insert these values into your database using Prisma:
const insertedRecords = await prisma.table.createMany({
  data: values,
});

This should cover the essentials.

Regarding updating the data as mentioned in your question, assuming it's for data seeding purposes, here's what I would suggest:

Create an npm script:

"prisma": {
  "seed": "ts-node prisma/seed.ts"
}

Delete old data and insert the updated data:

/* prisma/seed.ts */

await prisma.table.deleteMany();

// Parse the JSON...

// Insert the new data:
await prisma.table.createMany({
  data: values,
});

Check out Prisma's documentation on seeding for more detailed examples and information.

Analyzing a sizable JSON file serving as the data source for a PostgreSQL database

Answer №1

Answer №2

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