TX_HOUR | TX_DAY | TX_COUNT | |
---|---|---|---|
1 | 0 | Sunday | 41 |
2 | 1 | Sunday | 48 |
3 | 2 | Sunday | 39 |
4 | 3 | Sunday | 63 |
5 | 4 | Sunday | 55 |
6 | 5 | Sunday | 60 |
7 | 6 | Sunday | 81 |
8 | 7 | Sunday | 74 |
9 | 8 | Sunday | 77 |
10 | 9 | Sunday | 84 |
11 | 10 | Sunday | 58 |
12 | 11 | Sunday | 89 |
13 | 12 | Sunday | 67 |
14 | 13 | Sunday | 69 |
15 | 14 | Sunday | 66 |
16 | 15 | Sunday | 68 |
17 | 16 | Sunday | 73 |
18 | 17 | Sunday | 91 |
19 | 18 | Sunday | 76 |
20 | 19 | Sunday | 81 |
SajjadiiiOverall Heatmap Transactions
Updated 2025-02-23
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with trace_data AS (
SELECT
BLOCK_TIMESTAMP,
TX_HASH,
FROM_ADDRESS,
TO_ADDRESS,
TRACE_INDEX,
VALUE_PRECISE
FROM kaia.core.fact_traces
WHERE block_timestamp::date >= '2025-01-01'
AND tx_hash in (SELECT tx_hash FROM kaia.core.fact_event_logs WHERE topics[0] = '0x960a6bb8032c55b0217dc5d5e962cd62168b247a4dfc80213fb185caeb120143')
-- tx_hash in ( '0x97f54fe7cdad1fe44d7de3bd96f5b693aba84a9eed938b68dfa79347d368bee9' , '0xe82611c41c82c3c10f185acfd8926f388cba1453ae3239b9bc7bbe8d9dc7547a' , '0x46c1d2c7cfccd0e192761a73a402ddc920a4c08122f80ea5fe3ea3947c818884')
),
fees AS (
SELECT
TX_HASH,
SUM(CASE WHEN To_address = '0x4d129c57945e769dde797ae7058da8d6c89fd9db' THEN VALUE_PRECISE ELSE 0 END) AS FIRST_FEE,
SUM(CASE WHEN TO_ADDRESS = '0xfb1bffc9d739b8d520daf37df666da4c687191ea' THEN VALUE_PRECISE ELSE 0 END) AS SECOND_FEE
FROM trace_data
GROUP BY TX_HASH
),
program_address AS (
SELECT TX_HASH, TO_ADDRESS AS PROGRAM_ADDRESS, VALUE_PRECISE AS RETURNED_TO_PROGRAM
FROM trace_data
WHERE TRACE_INDEX = 4
),
user_spent AS (
SELECT TX_HASH,from_address AS User_address, VALUE_PRECISE AS USER_SPENT
FROM trace_data
WHERE TRACE_INDEX = 0
),
aggregated_data AS (
SELECT
DISTINCT td.TX_HASH,
us.User_address,
Last run: about 2 months ago
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