h4wkFlow vs L1 5
Updated 2022-05-30
99
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
›
⌄
-- Q3. Create a dashboard comparing the following metrics between Flow, Solana, Ethereum, and Algorand.
-- Visualize these metrics over time since May 9th.
-- -Number of transactions
-- -Transaction success rates
-- -Number of unique wallets to make a transaction
-- -Number of wallets that used the chain everyday since May 9th
-- -Transaction fees
-- How does Flow compare to these other chains and how do you think it will trend over time?
-- with flow as (
-- select date_trunc(day, block_timestamp) as date,
-- count(*) as tx_count,
-- 'Flow' as type
-- from flow.core.fact_transactions
-- where block_timestamp::date >= '2022-05-09' and block_timestamp::date < CURRENT_DATE()
-- group by date, type
-- )
with flow as (
select date_trunc(day, block_timestamp) as date,
-- DATA in DB is not clean.. so I will use 0.00001 instead of sum
-- avg(TRANSACTION_RESULT:events[3]:value:fields[0] + TRANSACTION_RESULT:events[3]:value:fields[1] + TRANSACTION_RESULT:events[3]:value:fields[2]) as avg_fee,
avg(0.00001) as fee,
'Flow' as type
from flow.core.fact_transactions
where block_timestamp::date >= '2022-05-09' and block_timestamp::date < CURRENT_DATE()
group by date, type
)
, solana as (
select date_trunc(day, block_timestamp) as date,
avg(fee/pow(10,9)) as avg_fee,
'SOL' as type
from flipside_prod_db.solana.fact_transactions
where block_timestamp::date >= '2022-05-09' and block_timestamp::date < CURRENT_DATE()
group by date, type
Run a query to Download Data