Contoh kueri Ethereum Mainnet

Halaman ini memberikan contoh kueri Blockchain Analytics untuk Mainnet Ethereum.

Lihat dokumentasi BigQuery untuk mengetahui petunjuk tentang cara menggunakan BigQuery.

Melihat blok pertama dan terakhir yang diindeks

Kueri ini memberi tahu Anda seberapa aktual data tersebut.

Di konsol Google Cloud , buka halaman BigQuery.

Kueri berikut dimuat ke dalam kolom Editor:

SELECT
  MIN(block_number) AS `First block`,
  MAX(block_number) AS `Newest block`,
  COUNT(1) AS `Total number of blocks`
FROM
  bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks;

Berikut contoh hasilnya:

Contoh hasil
Blok pertama	Blokir terbaru	Jumlah total blok
0	17665654	17665655

Visualisasikan jumlah transaksi per hari selama 6 bulan terakhir

Kueri ini mencantumkan jumlah total transaksi untuk setiap hari selama enam bulan terakhir.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

SELECT
  TIMESTAMP_TRUNC(block_timestamp, DAY) AS timestamp1, COUNT(1) AS txn_count
FROM
  bigquery-public-data.goog_blockchain_ethereum_mainnet_us.transactions
WHERE
  block_timestamp >= CAST(DATE_SUB(CURRENT_DATE(), INTERVAL 6 MONTH) AS TIMESTAMP)
GROUP BY timestamp1
ORDER BY timestamp1

Berikut contoh hasilnya:

Contoh hasil
timestamp1	txn_count
2023-01-10 00:00:00.000000 UTC	1061055
2023-01-11 00:00:00.000000 UTC	1083178
2023-01-12 00:00:00.000000 UTC	1085563
2023-01-13 00:00:00.000000 UTC	1076328
2023-01-14 00:00:00.000000 UTC	1107804
2023-01-15 00:00:00.000000 UTC	1000777
2023-01-16 00:00:00.000000 UTC	1057284
2023-01-17 00:00:00.000000 UTC	1018353
2023-01-18 00:00:00.000000 UTC	1118225
2023-01-19 00.00.00.000000 UTC	1007125
2023-01-20 00.00.00.000000 UTC	1024504

Penggunaan slot harian

Menghitung jumlah blok yang ditambahkan setiap hari kalender sejak Penggabungan. Sejak saat itu, ada 7.200 slot yang tersedia untuk pemblokiran, tetapi tidak semua slot digunakan.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

SELECT
  DATE(block_timestamp) AS block_date,
  COUNT(block_number) AS daily_blocks,
  7200 - COUNT(block_number) AS skipped_slots
FROM
  bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks
WHERE
  DATE(block_timestamp) BETWEEN DATE("2022-09-16") AND CURRENT_DATE("UTC") - 1 /* Only count complete days after The Merge */
GROUP BY block_date

Berikut contoh hasilnya:

Contoh hasil
block_date	daily_blocks	skipped_slots
2023-06-26	7105	95
2023-06-25	7109	91
2023-06-24	7110	90
2023-06-23	7111	89
2023-06-22	7114	86
2023-06-21	7135	65
2023-06-20	7120	80
2023-06-19	7121	79
2023-06-18	7126	74
2023-06-17	7142	58

Penarikan Total ETH yang Dipertaruhkan

Contoh lossless dengan solusi UDF untuk UINT256

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

WITH withdrawals AS (
  SELECT
    w.amount_lossless AS amount,
    DATE(b.block_timestamp) AS block_date
  FROM
    bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks AS b
    CROSS JOIN UNNEST(withdrawals) AS w
)
SELECT
  block_date,
  bqutil.fn.bignumber_div(bqutil.fn.bignumber_sum(ARRAY_AGG(amount)), "1000000000") AS eth_withdrawn
FROM
  withdrawals
GROUP BY 1 ORDER BY 1 DESC

Contoh lossy

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

WITH withdrawals AS (
  SELECT
    u.amount AS amount
  FROM
    bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks
    CROSS JOIN UNNEST(withdrawals) AS u
)
SELECT
  SUM(withdrawals.amount) / POW(10,9) AS total_eth_withdrawn
FROM
  withdrawals

Biaya transaksi penambangan yang diperoleh sejak EIP-1559

Sejak EIP-1559, biaya dasar transaksi dibakar dan penambang hanya memperoleh biaya prioritas. Kueri berikut menghitung total jumlah biaya yang diperoleh oleh penambang sejak hard fork London.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

WITH tgas AS (
  SELECT t.block_number, gas_used, effective_gas_price FROM
    bigquery-public-data.goog_blockchain_ethereum_mainnet_us.receipts AS r
    JOIN bigquery-public-data.goog_blockchain_ethereum_mainnet_us.transactions AS t
    ON t.block_number = r.block_number AND t.transaction_hash = r.transaction_hash
)
SELECT
  /* Cast needed to avoid INT64 overflow when doing multiplication. */
  SUM(CAST(tgas.effective_gas_price - b.base_fee_per_gas AS BIGNUMERIC) * tgas.gas_used)
FROM
  bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks b JOIN tgas
  ON b.block_number = tgas.block_number
WHERE
  b.block_number >= 12965000 /* The London hard fork. */

Berikut contoh hasilnya:

Contoh hasil
f0_
645681358899882340722378

Slot Beacon Chain yang dilewati

Temukan angka epoch dan slot untuk slot yang hilang, bercabang, atau dilewati sejak upgrade Beacon Chain.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

CREATE TEMP FUNCTION SlotNumber(slot_time TIMESTAMP) AS (
  (SELECT DIV(TIMESTAMP_DIFF(slot_time, "2020-12-01 12:00:23 UTC", SECOND), 12))
);

CREATE TEMP FUNCTION EpochNumber(slot_time TIMESTAMP) AS (
  (SELECT DIV(SlotNumber(slot_time), 32))
);

/* Beacon Chain slot timestamps. */
WITH slots AS (
  /* Directly generate the first day's slots. */
  SELECT * FROM UNNEST(GENERATE_TIMESTAMP_ARRAY("2020-12-01 12:00:23 UTC", "2020-12-01 23:59:59 UTC", INTERVAL 12 SECOND)) AS slot_time
  UNION ALL
  /* Join dates and times to generate up to yesterday's slots. Attempting this directly overflows the generator functions. */
  SELECT TIMESTAMP(DATETIME(date_part, TIME(time_part))) AS slot_time
  FROM UNNEST(GENERATE_DATE_ARRAY("2020-12-02", CURRENT_DATE("UTC") - 1)) AS date_part
  CROSS JOIN
  UNNEST(GENERATE_TIMESTAMP_ARRAY("1970-01-01 00:00:11 UTC", "1970-01-01 23:59:59 UTC", INTERVAL 12 SECOND)) AS time_part
)
SELECT
  EpochNumber(slot_time) AS epoch,
  SlotNumber(slot_time) AS slot,
  slot_time,
  FORMAT("https://beaconcha.in/slot/%d", SlotNumber(slot_time)) AS beaconchain_url,
FROM
  slots LEFT JOIN bigquery-public-data.goog_blockchain_ethereum_mainnet_us.blocks
  ON slot_time = block_timestamp
WHERE
  block_number IS NULL AND slot_time BETWEEN "2022-09-15 06:42:59 UTC" AND CURRENT_TIMESTAMP()
ORDER BY slot_time DESC;

Berikut contoh hasilnya:

Contoh hasil
epoch	slot	slot_time	beaconchain_url
211159	6757113	2023-06-27 23:42:59 UTC	https://beaconcha.in/slot/6757113
211159	6757088	2023-06-27 23.37.59 UTC	https://beaconcha.in/slot/6757088
211158	6757061	2023-06-27 23.32.35 UTC	https://beaconcha.in/slot/6757061
211145	6756660	2023-06-27 22.12.23 UTC	https://beaconcha.in/slot/6756660
211145	6756642	2023-06-27 22.08.47 UTC	https://beaconcha.in/slot/6756642
211142	6756564	2023-06-27 21.53.11 UTC	https://beaconcha.in/slot/6756564
211136	6756379	2023-06-27 21.16.11 UTC	https://beaconcha.in/slot/6756379
211136	6756374	2023-06-27 21:15:11 UTC	https://beaconcha.in/slot/6756374
211135	6756320	2023-06-27 21.04.23 UTC	https://beaconcha.in/slot/6756320
211132	6756225	2023-06-27 20.45.23 UTC	https://beaconcha.in/slot/6756225

Penerbitan token USDC

Analisis penerbitan bersih USDC selama minggu pertama bulan Maret 2023.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

CREATE TEMP FUNCTION IFMINT(input STRING, ifTrue ANY TYPE, ifFalse ANY TYPE) AS (
  CASE
    WHEN input LIKE "0x40c10f19%" THEN ifTrue
    ELSE ifFalse
  END
);

CREATE TEMP FUNCTION USD(input FLOAT64) AS (
  CAST(input AS STRING FORMAT "$999,999,999,999")
);

SELECT
  DATE(block_timestamp) AS `Date`,
  USD(SUM(IFMINT(input, 1, -1) * CAST(CONCAT("0x", LTRIM(SUBSTRING(input, IFMINT(input, 75, 11), 64), "0")) AS FLOAT64) / 1000000)) AS `Total Supply Change`,
FROM
  bigquery-public-data.goog_blockchain_ethereum_mainnet_us.transactions
WHERE
  DATE(block_timestamp) BETWEEN "2023-03-01" AND "2023-03-07"
  AND to_address = "0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48" -- USDC Coin Token
  AND (
    input LIKE "0x42966c68%" -- Burn
    OR input LIKE "0x40c10f19%" -- Mint
  )
GROUP BY `Date`
ORDER BY `Date` DESC;

Berikut contoh hasilnya:

Contoh hasil
Tanggal	Perubahan Total Suplai
2023-03-07	-$257.914.457
2023-03-06	-$223.014.422
2023-03-05	$200.060.388
2023-03-04	$234.929.175
2023-03-03	$463.882.301
2023-03-02	$631.198.459
2023-03-01	$172.338.818

10 Saldo Akun USDC Teratas

Menganalisis pemegang utama token USDC saat ini.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

WITH Transfers AS (
  SELECT address token, to_address account, 0 _out, CAST(quantity AS BIGNUMERIC) _in
  FROM `bigquery-public-data.goog_blockchain_ethereum_mainnet_us.token_transfers`

  UNION ALL

  SELECT address token, from_address account, CAST(quantity AS BIGNUMERIC) _out, 0 _in
  FROM `bigquery-public-data.goog_blockchain_ethereum_mainnet_us.token_transfers`
)

/* Top 10 Holders of USDC */
SELECT account, (SUM(_in) - SUM(_out)) / 1000000 balance
FROM Transfers
WHERE token = '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48'
GROUP BY account
ORDER BY balance DESC
LIMIT 10;

Berikut contoh hasilnya:

Contoh hasil
akun	saldo
0xcee284f754e854890e311e3280b767f80797180d	934249404.099105
0x40ec5b33f54e0e8a33a975908c5ba1c14e5bbbdf	608860969.753471
0x47ac0fb4f2d84898e4d9e7b4dab3c24507a6d503	422999999.84
0x0a59649758aa4d66e25f08dd01271e891fe52199	382469988.743467
0xd54f502e184b6b739d7d27a6410a67dc462d69c8	335866305.446392
0x99c9fc46f92e8a1c0dec1b1747d010903e884be1	300569267.063296
0xda9ce944a37d218c3302f6b82a094844c6eceb17	231000000
0x51edf02152ebfb338e03e30d65c15fbf06cc9ecc	230000000.000002
0x7713974908be4bed47172370115e8b1219f4a5f0	218307714.860457
0x78605df79524164911c144801f41e9811b7db73d	211737271.4

5 trader teraktif token BAYC teratas

Menganalisis EOA mana yang telah mentransfer NFT Bored Ape terbanyak.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

WITH Transfers AS (
  SELECT address AS token, to_address AS account, COUNT(*) transfer_count
  FROM `bigquery-public-data.goog_blockchain_ethereum_mainnet_us.token_transfers`
  GROUP BY token, account

  UNION ALL

  SELECT address AS token, from_address AS account, COUNT(*) transfer_count
  FROM `bigquery-public-data.goog_blockchain_ethereum_mainnet_us.token_transfers`
  WHERE from_address != '0x0000000000000000000000000000000000000000'
  GROUP BY token, account
)

SELECT account, SUM(transfer_count) quantity
FROM Transfers LEFT JOIN `bigquery-public-data.goog_blockchain_ethereum_mainnet_us.accounts` ON account = address
WHERE NOT is_contract AND token = '0xbc4ca0eda7647a8ab7c2061c2e118a18a936f13d' /* BAYC */
GROUP BY account
ORDER BY quantity DESC
LIMIT 5;

Berikut contoh hasilnya:

Contoh hasil
akun	quantity
0xed2ab4948ba6a909a7751dec4f34f303eb8c7236	6036
0x020ca66c30bec2c4fe3861a94e4db4a498a35872	2536
0xd387a6e4e84a6c86bd90c158c6028a58cc8ac459	2506
0x8ae57a027c63fca8070d1bf38622321de8004c67	2162
0x721931508df2764fd4f70c53da646cb8aed16ace	968

Harga rata-rata harian WETH dalam USDC di Uniswap

Lihat harga swap harian rata-rata di kumpulan biaya 0,05% Uniswap USDC/WETH.

Di konsol Google Cloud , buka halaman BigQuery.

Buka BigQuery

Kueri berikut dimuat ke dalam kolom Editor:

With Swaps AS (
  SELECT block_timestamp, transaction_hash,
    STRING(args[0]) sender,
    STRING(args[1]) recipient,
    SAFE_CAST(STRING(args[2]) AS BIGNUMERIC) amount0, /* USDC amount */
    SAFE_CAST(STRING(args[3]) AS BIGNUMERIC) amount1, /* WETH amount */
    SAFE_CAST(STRING(args[4]) AS BIGNUMERIC) sqrtPriceX96,
    CAST(STRING(args[5]) AS BIGNUMERIC) liquidity,
    CAST(STRING(args[6]) AS INT64) tick
  FROM `bigquery-public-data.blockchain_analytics_ethereum_mainnet_us.decoded_events`
  WHERE event_signature = 'Swap(address,address,int256,int256,uint160,uint128,int24)' /* Uniswap v3 Swaps */
  AND address = '0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640' /* USDC/ETH 0.05% Pool */
),
EtherUSDC AS (
  SELECT block_timestamp,
    ABS(amount0) / 1000000 usdc_amount, /* USDC uses 6 decimals */
    ABS(amount1) / 1000000000000000000 eth_amount, /* WETH uses 18 decimals */
    ABS(SAFE_DIVIDE(amount0, amount1)) * 1000000000000 usd_eth /* USDC/ETH has 12 decimal difference */
  FROM Swaps
)

SELECT EXTRACT(DATE FROM block_timestamp) `date`, CAST(AVG(usd_eth) AS STRING FORMAT '$9,999.00') `avg_price`, COUNT(*) `swap_count`
FROM EtherUSDC
WHERE usdc_amount >= 1.00 /* Ignore miniscule swaps */
GROUP BY `date`
ORDER BY `date` DESC

Berikut contoh hasilnya:

Contoh hasil
tanggal	avg_price	swap_count
2023-10-03	$1.658,24	3819
2023-10-02	$1.704,98	5136
2023-10-01	$1.689,63	3723
2023-09-30	$1.675,90	2988
2023-09-29	$1.665,99	4173

Contoh kueri Ethereum Mainnet Tetap teratur dengan koleksi Simpan dan kategorikan konten berdasarkan preferensi Anda.

Melihat blok pertama dan terakhir yang diindeks

Visualisasikan jumlah transaksi per hari selama 6 bulan terakhir

Penggunaan slot harian

Penarikan Total ETH yang Dipertaruhkan

Contoh lossless dengan solusi UDF untuk UINT256

Contoh lossy

Biaya transaksi penambangan yang diperoleh sejak EIP-1559

Slot Beacon Chain yang dilewati

Penerbitan token USDC

10 Saldo Akun USDC Teratas

5 trader teraktif token BAYC teratas

Harga rata-rata harian WETH dalam USDC di Uniswap

Contoh kueri Ethereum Mainnet