How does type system work?

Users Dgraph
1

Hi there, I am new to Dgraph and having hard time understanding how this type system works

What I want to do

I want to query all nodes having a specific type

What I did

I added one type to Dgraph, User, along with 25 predicates

type User {
    id
    name
    email
    phone
    login
    ...
}


id: int @index(int) .
name: string @index(fulltext) .
email: string @index(hash) .
phone: string @index(hash) .
login: string @index(hash) .
....

Then used Live Loader to load json data into dgraph, a sample row:

{
    "id": 1,
    "name": "Robbert",
    "email": "rdelacourt0@about.me",
    "phone": "429-267-5796",
    "login": "rcreggan0",
    ....
    "dgraph.type": "User"
}

Now, when I run the following query to query how many user nodes I have in the system:

{
  count_users(func: type(User))  {
    count(uid)
  }
}

I get

{
  "data": {
    "count_users": [
      {
        "count": 1133110
      }
    ]
  },
  "extensions": {
    "server_latency": {
      "parsing_ns": 45326,
      "processing_ns": 2229090,
      "encoding_ns": 105251515,
      "total_ns": 107647656
    },
    "txn": {
      "start_ts": 1070210
    },
    "metrics": {
      "num_uids": {
        "_total": 0,
        "dgraph.type": 0
      }
    }
  }
}

But when I don’t query the node type I get much more bigger number

{
      nodeCount(func: has(<age>)) {
        nodeCount: count(uid)
      }
    }

Result

{
  "data": {
    "nodeCount": [
      {
        "nodeCount": 17604000
      }
    ]
  },
  "extensions": {
    "server_latency": {
      "parsing_ns": 49660,
      "processing_ns": 54619211815,
      "encoding_ns": 1700891760,
      "assign_timestamp_ns": 851778,
      "total_ns": 56321128868
    },
    "txn": {
      "start_ts": 1070164
    },
    "metrics": {
      "num_uids": {
        "_total": 0,
        "age": 0
      }
    }
  }
}

Also this query’s metrics confuses me and I don’t know what they mean. I counld’t find anything that explains them

{
      nodeCount(func: has(<age>)) @filter(eq(dgraph.type, User)) {
        nodeCount: count(uid)
      }
    }

Result

{
  "data": {
    "nodeCount": [
      {
        "nodeCount": 1133110
      }
    ]
  },
  "extensions": {
    "server_latency": {
      "parsing_ns": 57466,
      "processing_ns": 51066224278,
      "encoding_ns": 131496865,
      "total_ns": 51197953773
    },
    "txn": {
      "start_ts": 1070181
    },
    "metrics": {
      "num_uids": {
        "_total": 17604000,
        "age": 0,
        "dgraph.type": 17604000
      }
    }
  }
}

So, my question is: which query is correct and why the numbers are lower when I query using node type?

Thanks

Dgraph metadata

dgraph version

Dgraph version : v21.12.0
Dgraph codename : zion
Dgraph SHA-256 : 078c75df9fa1057447c8c8afc10ea57cb0a29dfb22f9e61d8c334882b4b4eb37
Commit SHA-1 : d62ed5f15
Commit timestamp : 2021-12-02 21:20:09 +0530
Branch : HEAD
Go version : go1.17.3
jemalloc enabled : true

2

Hey @yasser-sobhy,

Welcome to dgraph! Two questions for you:

  1. What version dgraph are you trying this on?
  2. How many User records did you import?

Also, regarding extensions, have a look here: https://dgraph.io/docs/graphql/api/requests/#extensions-field