members

About:

A member is a distinct person

A player is a member that plays a game

e.g.

  • Tom plays both Rocket League and CS:2, he has 1 member, and 2 players
  • Jane is a member of the community, but does not participate in any leagues, she has 1 member and 0 players

Parquet Usage

Examples assume you have run the view alias first.
Alias a View
CREATE VIEW v_members AS (
    SELECT * FROM read_parquet(
        'https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.parquet'
    )
);
Select Everything
SELECT * FROM v_members;

CSV Usage

To link a CSV to your Google sheet

=importData("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.csv")

JSON Usage

Javascript
const members = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json").then(r => r.json())
Python
import requests
members = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json").json()
C#
using (var client = new HttpClient())
{
    var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json");
    var members = JObject.Parse(json);
}
Ruby
require 'net/http'
require 'json'
uri = URI.parse("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json")
response = Net::HTTP.get_response(uri)
members = JSON.parse(response.body)
R
library(jsonlite)
members <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json")
curl
curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/members.json | jq

At a glance:

Table Schema:

column_name column_type null key default extra
as_of TIMESTAMP WITH TIME ZONE YES None None None
member_id BIGINT YES None None None
name VARCHAR YES None None None
mle_id BIGINT YES None None None
mle_player_id BIGINT YES None None None
discord_id VARCHAR YES None None None

Sample Data:

as_of member_id name mle_id mle_player_id discord_id
2025-04-14 22:03:22.998088+00:00 2 -j 10000 2504 193497999589113857
2025-04-14 22:03:22.998088+00:00 3 !Chino-096 10001 2505 255528067550674944
2025-04-14 22:03:22.998088+00:00 4 1AMRamen 10002 2506 202141161295577088
2025-04-14 22:03:22.998088+00:00 5 BuffaloDave 10003 2507 453242350831927296
2025-04-14 22:03:22.998088+00:00 6 AcePocket 10004 2508 180151530651910144

Table Summary:

column_name column_type min max approx_unique avg std q25 q50 q75 count null_percentage
as_of TIMESTAMP WITH TIME ZONE 2025-04-14 22:03:22.998088+00 2025-04-14 22:03:22.998088+00 1 None None None None None 5628 0.0%
member_id BIGINT 2 5811 5798 2881.9182658137884 1672.1160013220006 1433 2874 4318 5628 0.0%
name VARCHAR !Chino-096 Érid 5602 None None None None None 5628 0.0%
mle_id BIGINT 10000 17146 5586 13172.502132196161 1990.0724480515187 11483 13066 14561 5628 0.0%
mle_player_id BIGINT 2504 8724 5556 5577.924484719261 1848.1723302516434 3935 5551 7234 5628 0.0%
discord_id VARCHAR 99989195493232640 5548 None None None None None 5628 0.0%

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