En esta página, se proporcionan ejemplos de consultas de Blockchain Analytics para Cronos.
Consulta la documentación de BigQuery para obtener instrucciones sobre cómo usar BigQuery.
Mostrar todas las transferencias de USDT
Esta consulta muestra las transferencias del token USDT en Cronos desde el inicio.
En la consola de Google Cloud , ve a la página BigQuery.
La siguiente consulta se carga en el campo Editor:
-- UDF for easier string manipulation.
CREATE TEMP FUNCTION ParseSubStr(hexStr STRING, startIndex INT64, endIndex INT64)
RETURNS STRING
LANGUAGE js
AS r"""
if (hexStr.length < 1) {
return hexStr;
}
return hexStr.substring(startIndex, endIndex);
""";
-- UDF to convert hex to decimal.
CREATE TEMP FUNCTION HexToDecimal(hexStr STRING)
RETURNS INT64
LANGUAGE js
AS r"""
return parseInt(hexStr, 16);
""";
SELECT
t.transaction_hash,
t.from_address AS from_address,
CONCAT("0x", ParseSubStr(l.topics[OFFSET(2)], 26, LENGTH(l.topics[OFFSET(2)]))) AS to_address,
(HexToDecimal(l.data) / 1000000) AS usdt_transfer_amount
FROM
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.transactions` AS t
INNER JOIN
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.logs` AS l
ON
l.transaction_hash = t.transaction_hash
WHERE
t.to_address = LOWER("0x66e428c3f67a68878562e79a0234c1f83c208770") -- USDT
AND
ARRAY_LENGTH(l.topics) > 0
AND
-- Transfer(address indexed src, address indexed dst, uint wad)
l.topics[OFFSET(0)] = LOWER("0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef")
;
A continuación, se muestra un ejemplo del resultado:
| Hash de transacción | Dirección del remitente | Dirección para | Importe de la transferencia en USDT |
|---|---|---|---|
| 0x6688fbfff00aee60811c150e3f5fcd08a6c9c50b9e028ff4bed3138918cd6b16 | 0x792f3570cf9a552952b7f80703d1b4e773397e33 | 0xe6e2d743e057024e033fde3e16077de3302e0cd1 | 1500.0 |
| 0x84f0b00a5ddc882134fab138097a582500097eb7051fed499c403368ab622b31 | 0xf6d7dd84382cd532eb68cc2711509058936e890d | 0x03363e4bbc35f01bec95a33b3b391894f4ca7244 | 1001.08402 |
| 0xc353e823bfa7c582956154194bccfabef6a4f7e71efb9211ae64b9ccc1b21cc7 | 0x9e199307660706e0ed1ed4d56684aad67ca97bde | 0x43d615be1714913fc1850e5a77cd01fa9b75e90c | 5000.0 |
| 0x98321418e4fdc29d84a2d49bfc2d6ce1b4d0b37b93b84051aea75b19fb2a6e44 | 0x340a27ea8874177c894c365183d2283b5fcaa697 | 0xa0b5564550345414b619821c8dcbf7e0a20a195a | 7.0 |
| 0x095a3a3453b27d003ac299fbdbcff53f78c32e748f79064e8a74bc6e20fe8e48 | 0x3a956433edae040b41f1767b24009d08bf73fd6e | 0x8995909dc0960fc9c75b6031d683124a4016825b | 30000.0 |
Actividad de Wrapped de Cronos
Esta consulta muestra las billeteras con la mayor cantidad de interacciones con Wrapped Cronos en los últimos 30 días.
En la consola de Google Cloud , ve a la página BigQuery.
La siguiente consulta se carga en el campo Editor:
SELECT
from_address AS address,
CONCAT("https://cronoscan.com/address/", from_address) AS croniscan_link,
COUNT(from_address) AS num_transactions
FROM
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.transactions` AS t
WHERE
to_address = LOWER("0x5C7F8A570d578ED84E63fdFA7b1eE72dEae1AE23") -- Wrapped CRO
AND
block_timestamp > (CURRENT_TIMESTAMP() - INTERVAL 30 DAY)
GROUP BY
from_address
ORDER BY
COUNT(from_address) DESC
;
A continuación, se muestra un ejemplo del resultado:
| address | croniscan_link | num_transactions |
|---|---|---|
| 0x07195f6dbac033152904747ca22d4debad682ad7 | https://cronoscan.com/address/0x07195f6dbac033152904747ca22d4debad682ad7 | 167 |
| 0x70f1378570328c42782e9023c048d1357071082b | https://cronoscan.com/address/0x70f1378570328c42782e9023c048d1357071082b | 148 |
| 0xce6aeeb31f00a5783c115a669e516f34d56512e4 | https://cronoscan.com/address/0xce6aeeb31f00a5783c115a669e516f34d56512e4 | 120 |
| 0xc7b0ff7bd56618645737ad1f5623568c1fc65449 | https://cronoscan.com/address/0xc7b0ff7bd56618645737ad1f5623568c1fc65449 | 95 |
| 0x8194ed39b510a07425b49752ce489cbaa972fbf0 | https://cronoscan.com/address/0x8194ed39b510a07425b49752ce489cbaa972fbf0 | 77 |