개요

Solana's high-performance blockchain generates extensive data that can be challenging to analyze.

In this Function example, we will provide comprehensive block analytics by aggregating crucial metrics that aren't directly available through standard RPC methods. This will enable developers to gain deeper insights into network activity and performance.

Sample Function

The following is the code for the Function to get the vital Solana block analytics data in JavaScript Node.js v20 runtime using the block dataset:

// Initialize the main function
function main(params) {
	const dataset = params.metadata.dataset
	const network = params.metadata.network

	const block = params.data[0]

	// Initialize counters and aggregators
	let metrics = {
		message: `Analysis from the ${dataset} dataset on the ${network} network.`,
		blockHeight: block.blockHeight,
		blockTime: block.blockTime,

		// Compute units
		totalComputeUnits: 0,
		avgComputeUnitsPerTx: 0,

		// Fee metrics
		totalFees: 0,
		avgFeePerTx: 0,

		// Balance changes
		totalBalanceChange: 0,

		// Program invocations
		programInvocations: {},

		// Transaction metrics
		successfulTxCount: 0,
		failedTxCount: 0,

		// Account activity
		uniqueAccounts: new Set(),
		uniqueSigners: new Set(),

		// Write set size
		totalWritableAccounts: 0,
		avgWritableAccountsPerTx: 0,
	}

	// Process each transaction
	block.transactions.forEach(tx => {
		// Compute units
		metrics.totalComputeUnits += tx.meta.computeUnitsConsumed

		// Fees
		metrics.totalFees += tx.meta.fee

		// Success/Failure count
		if (tx.meta.err === null) {
			metrics.successfulTxCount++
		} else {
			metrics.failedTxCount++
		}

		// Balance changes
		const preBalances = tx.meta.preBalances
		const postBalances = tx.meta.postBalances
		metrics.totalBalanceChange += postBalances.reduce(
			(sum, bal, i) => sum + (bal - preBalances[i]),
			0
		)

		// Program invocations from log messages
		tx.meta.logMessages?.forEach(log => {
			if (log.includes('invoke [1]')) {
				const program = log.split(' ')[1]
				metrics.programInvocations[program] =
					(metrics.programInvocations[program] || 0) + 1
			}
		})

		// Account activity
		tx.transaction.message.accountKeys.forEach(acc => {
			metrics.uniqueAccounts.add(acc.pubkey)
			if (acc.signer) {
				metrics.uniqueSigners.add(acc.pubkey)
			}
			if (acc.writable) {
				metrics.totalWritableAccounts++
			}
		})
	})

	// Calculate averages
	const txCount = metrics.successfulTxCount + metrics.failedTxCount
	metrics.avgComputeUnitsPerTx = metrics.totalComputeUnits / txCount
	metrics.avgFeePerTx = metrics.totalFees / txCount
	metrics.avgWritableAccountsPerTx = metrics.totalWritableAccounts / txCount

	// Convert Sets to counts
	metrics.uniqueAccountCount = metrics.uniqueAccounts.size
	metrics.uniqueSignerCount = metrics.uniqueSigners.size

	// Clean up intermediate Set objects
	delete metrics.uniqueAccounts
	delete metrics.uniqueSigners

	return metrics
}

요청

요청

We will invoke the function with the following cURL command. A few notes:

• Replace the YOUR_API_KEY with your own Quicknode API key - follow this guide for creating an API key.
• Replace the FUNCTION_ID with the ID of your Function - you can find this in the URL when viewing your Function in the Quicknode Dashboard.
• Use the block_number parameter to specify the block number you want to analyze. You can also omit this property for the function to run against the latest block.

curl -X POST "https://api.quicknode.com/functions/rest/v1/functions/FUNCTION_ID/call?result_only=true" \
  -H "accept: application/json" \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "network": "solana-mainnet",
    "dataset": "block",
    "block_number": 288218963
  }'

답변

Resulting in the following response:

{
  "message": "Analysis from the block dataset on the solana-mainnet network.",
  "blockHeight": 288218963,
  "blockTime": 1735198645,
  "totalComputeUnits": 41471436,
  "avgComputeUnitsPerTx": 27833.178523489933,
  "totalFees": 31947701,
  "avgFeePerTx": 21441.410067114095,
  "totalBalanceChange": -31947701,
  "programInvocations": {
    "Vote111111111111111111111111111111111111111": 905,
    "ComputeBudget111111111111111111111111111111": 827,
    "6EF8rrecthR5Dkzon8Nwu78hRvfCKubJ14M5uBEwF6P": 13,
    "11111111111111111111111111111111": 394,
    "AzHrwdCsEZotAjr7sjenHrHpf1ZKYoGBP6N7HVhEsyen": 1,
    "JUP6LkbZbjS1jKKwapdHNy74zcZ3tLUZoi5QNyVTaV4": 168,
    "DgakD8xgWC3wSjy2hnkgibo2wFRJMNkrwkk5wkpf596q": 2,
    "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA": 40,
    "AFW9KCZtmtMWuhuLkF5mLY9wsk7SZrpZmuKijzcQ51Ni": 2,
    "675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8": 20,
    "4pP8eDKACuV7T2rbFPE8CHxGKDYAzSdRsdMsGvz2k4oc": 2,
    "HQ2UUt18uJqKaQFJhgV9zaTdQxUZjNrsKFgoEDquBkcx": 3,
    "6753FE9MXMv68A5T3Tqp465MHi1wsFSw6beEUM7nPVJf": 5,
    "CAMMCzo5YL8w4VFF8KVHrK22GGUsp5VTaW7grrKgrWqK": 4,
    "BSfD6SHZigAfDWSjzD5Q41jw8LmKwtmjskPH9XW1mrRW": 4,
    "GDDMwNyyx8uB6zrqwBFHjLLG3TBYk2F8Az4yrQC5RzMp": 26,
    "ATokenGPvbdGVxr1b2hvZbsiqW5xWH25efTNsLJA8knL": 212,
    "PSMxQbAoDWDbvd9ezQJgARyq6R9L5kJAasaLDVcZwf1": 2,
    "PhoeNiXZ8ByJGLkxNfZRnkUfjvmuYqLR89jjFHGqdXY": 35,
    "DCA265Vj8a9CEuX1eb1LWRnDT7uK6q1xMipnNyatn23M": 15,
    "opnb2LAfJYbRMAHHvqjCwQxanZn7ReEHp1k81EohpZb": 20,
    "SoLFiHG9TfgtdUXUjWAxi3LtvYuFyDLVhBWxdMZxyCe": 14,
    "MEVK7RP6dDTbxAwirSY6R5v66oS5WvzbhAQD9jpy9Lj": 4,
    "MemoSq4gqABAXKb96qnH8TysNcWxMyWCqXgDLGmfcHr": 6,
    "TipgrjcESvvR7G4MUDiR1dWgbFqC6fprUPyZeYVDqFS": 1,
    "dRiftyHA39MWEi3m9aunc5MzRF1JYuBsbn6VPcn33UH": 11,
    "TT1eRKxi2Rj3oEvsFMe9W5hrcPmpXqKkNj7wC83AhXk": 5,
    "8BR3zs8zSXetpnDjCtHWnkpSkNSydWb3PTTDuVKku2uu": 3,
    "4MangoMjqJ2firMokCjjGgoK8d4MXcrgL7XJaL3w6fVg": 11,
    "BGUMAp9Gq7iTEuizy4pqaxsTyUCBK68MDfK752saRPUY": 69,
    "darehJcMJFk833wzHe76pFyGPyTNzeN4yQNKTRw8wJM": 8,
    "monacoUXKtUi6vKsQwaLyxmXKSievfNWEcYXTgkbCih": 24,
    "TokenzQdBNbLqP5VEhdkAS6EPFLC1PHnBqCXEpPxuEb": 1,
    "NeonVMyRX5GbCrsAHnUwx1nYYoJAtskU1bWUo6JGNyG": 1,
    "TCMPhJdwDryooaGtiocG1u3xcYbRpiJzb283XfCZsDp": 2,
    "ZETAxsqBRek56DhiGXrn75yj2NHU3aYUnxvHXpkf3aD": 6,
    "cjg3oHmg9uuPsP8D6g29NWvhySJkdYdAo9D25PRbKXJ": 10,
    "TSWAPaqyCSx2KABk68Shruf4rp7CxcNi8hAsbdwmHbN": 2,
    "9XFCiGhW1Pkx7rGgNcMH3S9bqDjKwgjqqM2cb2YdzpJ3": 8,
    "whirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc": 1,
    "BobogA5N2KN2GG4XN3E3rNNRw3L8H1QPXp7QLxGrNHGM": 95,
    "SAGE2HAwep459SNq61LHvjxPk4pLPEJLoMETef7f7EE": 2,
    "7K3UpbZViPnQDLn2DAM853B9J5GBxd1L1rLHy4KqSmWG": 1,
    "9ixSdN1CKjmHqwTessaPYdJGRMgEYCaL34oXyNjYK2mw": 4,
    "BANANAjs7FJiPQqJTGFzkZJndT9o7UmKiYYGaJz6frGu": 2,
    "ARBv2b5cz4hreK2Pico7jD76oYiDMP2KPhyYrYtTK7qT": 1,
    "F3tYgkUtcqn6JnUska1meE2LDzwozEyh4nkH6zMJLdL5": 2,
    "8V227E7nJP4y9XJY8tEnw19aiaQc2Cb9xZt1J7a3idbY": 2,
    "LBUZKhRxPF3XUpBCjp4YzTKgLccjZhTSDM9YuVaPwxo": 3,
    "MoonCVVNZFSYkqNXP6bxHLPL6QQJiMagDL3qcqUQTrG": 1,
    "13gDzEXCdocbj8iAiqrScGo47NiSuYENGsRqi3SEAwet": 1,
    "L2TExMFKdjpN9kozasaurPirfHy9P8sbXoAN1qA3S95": 3,
    "9m7YMBgQaxYpUwrjLvS6AA3FmGH83qXgifA5aF5VbEue": 1,
    "BLZRi6frs4X4DNLw56V4EXai1b6QVESN1BhHBTYM9VcY": 1,
    "9w1D9okTM8xNE7Ntb7LpaAaoLc6LfU9nHFs2h2KTpX1H": 1
  },
  "successfulTxCount": 1186,
  "failedTxCount": 304,
  "totalWritableAccounts": 7025,
  "avgWritableAccountsPerTx": 4.714765100671141,
  "uniqueAccountCount": 3868,
  "uniqueSignerCount": 1189
}

Learn more about Quicknode Functions.

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