match groups

About:

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Parquet Usage

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

CSV Usage

To link a CSV to your Google sheet

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

JSON Usage

Javascript
const match_groups = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.json").then(r => r.json())
Python
import requests
match_groups = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.json").json()
C#
using (var client = new HttpClient())
{
    var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.json");
    var match_groups = JObject.Parse(json);
}
Ruby
require 'net/http'
require 'json'
uri = URI.parse("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.json")
response = Net::HTTP.get_response(uri)
match_groups = JSON.parse(response.body)
R
library(jsonlite)
match_groups <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.json")
curl
curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/match_groups.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
match_group_id BIGINT YES None None None
start TIMESTAMP YES None None None
end TIMESTAMP YES None None None
match_group_title VARCHAR YES None None None
parent_group_title VARCHAR YES None None None

Sample Data:

as_of match_group_id start end match_group_title parent_group_title
2025-04-14 22:03:36.393875+00:00 6 2021-04-22 04:00:00 2021-04-26 04:00:00 Match 1 Season 12
2025-04-14 22:03:36.393875+00:00 16 2021-04-22 04:00:00 2021-05-03 04:00:00 Match 11 Season 12
2025-04-14 22:03:36.393875+00:00 7 2021-04-29 04:00:00 2021-05-03 04:00:00 Match 2 Season 12
2025-04-14 22:03:36.393875+00:00 8 2021-05-06 04:00:00 2021-05-10 04:00:00 Match 3 Season 12
2025-04-14 22:03:36.393875+00:00 17 2021-05-06 04:00:00 2021-05-17 04:00:00 Match 12 Season 12

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 22:03:36.393875+00 2025-04-14 22:03:36.393875+00 1 None None None None None 102 0.0%
match_group_id BIGINT 6 301 101 116.33333333333333 101.2351769697945 31 70 217 102 0.0%
start TIMESTAMP 2021-04-22 04:00:00 2025-04-24 00:00:00 93 None None None None None 102 0.0%
end TIMESTAMP 2021-04-26 04:00:00 2025-04-27 23:59:00 96 None None None None None 102 0.0%
match_group_title VARCHAR Conference Finals Qualifiers 27 None None None None None 102 0.0%
parent_group_title VARCHAR Season 12 Season 18 13 None None None None None 102 0.0%

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