Kruys-Collinsstandard-rose
    Updated 2025-02-20
    SELECT
    DATE_TRUNC('hour', block_timestamp) AS hour,
    COUNT(*) AS total_transactions,
    COUNT(CASE WHEN tx_succeeded = TRUE THEN 1 END) AS successful,
    COUNT(CASE WHEN tx_succeeded = FALSE THEN 1 END) AS failed,
    ROUND(
    COUNT(CASE WHEN tx_succeeded = TRUE THEN 1 END)::FLOAT /
    NULLIF(COUNT(*), 0) * 100, 2
    ) AS success_rate_percentage
    FROM monad.testnet.fact_transactions
    WHERE block_timestamp >= '2025-02-19'
    GROUP BY hour
    ORDER BY hour;

    Last run: 23 days ago
    HOUR
    TOTAL_TRANSACTIONS
    SUCCESSFUL
    FAILED
    SUCCESS_RATE_PERCENTAGE
    1
    2025-02-19 00:00:00.000310304698.06
    2
    2025-02-19 01:00:00.0001223231223194100
    3
    2025-02-19 02:00:00.0007428874283599.99
    4
    2025-02-19 03:00:00.00014891483699.6
    5
    2025-02-19 04:00:00.0007138571379699.99
    6
    2025-02-19 05:00:00.000117384117377799.99
    7
    2025-02-19 06:00:00.00039423936699.85
    8
    2025-02-19 07:00:00.000405040341699.6
    9
    2025-02-19 08:00:00.00037973796199.97
    10
    2025-02-19 09:00:00.000302829992999.04
    11
    2025-02-19 10:00:00.000402339744998.78
    12
    2025-02-19 11:00:00.000335333005398.42
    13
    2025-02-19 12:00:00.0004488435813097.1
    14
    2025-02-19 13:00:00.000124891236512499.01
    15
    2025-02-19 14:00:00.000237592353022999.04
    16
    2025-02-19 15:00:00.0007249866512598691.74
    17
    2025-02-19 16:00:00.0006592958491743888.72
    18
    2025-02-19 17:00:00.0009029789031126698.6
    19
    2025-02-19 18:00:00.000108641106746189598.26
    20
    2025-02-19 19:00:00.0008251081214129698.43
    46
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