In this Notion document, we'll walk through the steps involved in querying, fetching, and displaying information about subgraphs that have significant activity—those with over 1 million queries in a day. This process involves querying The Graph's network subgraphs, retrieving subgraph names, and building a curation dashboard to display the results.
The steps below explain the entire process, including the necessary GraphQL queries and code implementation in page.tsx
.
The first step is to find subgraphs that have a high level of activity—specifically, those with over 1 million queries in the past day. These queries go into the queries.js
file.
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graphql
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const now = BigInt(Math.floor(Date.now() / 1000))
const past24 = now - BigInt(86400)
export const QUERY_SUBGRAPHS = `
query($past24: BigInt!) {
queryDailyDataPoints(
where: {
dayStart_gte: $past24,
query_count_gte: 1000000
},
orderBy: total_query_fees,
orderDirection: desc
) {
total_query_fees
query_count
subgraphDeployment {
id
}
}
}
`
id
of the subgraph deployment (which is an IPFS hash).query_count
and total_query_fees
.Example JSON Response:
json
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{
"data": {
"queryDailyDataPoints": [
{
"query_count": "96811667",
"subgraphDeployment": {
"id": "Qmc9sKbQk6wKMTDA9Wkw2E8w4C199gaYk6xmZei5ZeGKjH"
},
"total_query_fees": "8982.3888311147"
},
{
"query_count": "97793235",
"subgraphDeployment": {
"id": "Qmc9sKbQk6wKMTDA9Wkw2E8w4C199gaYk6xmZei5ZeGKjH"
},
"total_query_fees": "8890.9755680753"
}
]
}
}
Note: The subgraph IDs returned are IPFS hashes, which we will use in the next step to retrieve the corresponding subgraph names.
Alternative possible query
{
QOS__queryDailyDataPoints: queryDailyDataPoints(
where: {
dayStart_gt: "1731974400" # Replace with a dynamic value for the timestamp 24 hours ago
subgraphDeployment: "QmUzRg2HHMpbgf6Q4VHKNDbtBEJnyp5JWCh2gUX9AV6jXv"
},
first: 100,
subgraphError: allow
) {
id
query_count
dayStart
subgraphDeployment {
id
__typename
}
__typename
}
}