Afonso_Diaz2023-04-24 09:59 PM
    Updated 2023-04-25
    with t as (
    select
    tx_hash,
    block_timestamp,
    signer_id,
    case
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'contract.main.burrow.near' or b.args::string like '%contract.main.burrow.near%')) then 'Burrow'
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'quizchain.near' or b.args::string like '%quizchain.near%')) then 'Quizchain'
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'spot.spin-fi.near' or b.args::string like '%spot.spin-fi.near%')) then 'Spin-Finance'
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'v1.jumbo_exchange.near' or b.args::string like '%v1.jumbo_exchange.near%')) then 'Jumbo Exchange'
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'v1.orderbook.near' or b.args::string like '%v1.orderbook.near%')) then 'Orderbook'
    when exists (select * from near.core.fact_actions_events_function_call b where a.tx_hash = b.tx_hash and (b.receiver_id = 'v2.ref-finance.near' or b.args::string like '%v2.ref-finance.near%')) then 'Ref-Finance'
    end as platform
    from near.core.fact_actions_events_function_call a
    where receiver_id = 'aurora'
    and platform is not null
    ),

    t2 as (
    select
    tx_hash,
    block_timestamp,
    signer_id,
    platform
    from t
    qualify row_number() over (partition by tx_hash order by block_timestamp) = 1
    )

    select
    date_trunc('month', block_timestamp)::date as month,
    platform,
    count(distinct tx_hash) as transactions,
    count(distinct signer_id) as users,
    sum(transactions) over (partition by platform order by month) as cumulative_transactions
    from t2
    group by 1, 2
    Run a query to Download Data