Add one or more keywords to help us categorize your metric. Don't overthink this!
Optimism Superchain
Gas Efficiency
Layer Usage
Brief description
Describe how your impact metric is calculated in 2-3 sentences: This metric calculates the daily ratio of L1 gas used to L2 gas used for each project. A high ratio might indicate projects that rely more heavily on L1 or have less optimized L2 implementations. A lower ratio suggests a preference for the more scalable L2 network.
SQL code block
Insert the SQL that we should run to replicate your impact metric:
WITH project_events AS (
SELECT
project_id,
DATE(bucket_day) AS event_date,
SUM(CASE WHEN event_type = 'CONTRACT_INVOCATION_DAILY_L1_GAS_USED' THEN amount ELSE 0 END) AS daily_l1_gas_used,
SUM(CASE WHEN event_type = 'CONTRACT_INVOCATION_DAILY_L2_GAS_USED' THEN amount ELSE 0 END) AS daily_l2_gas_used
FROM `opensource-observer.oso.events_daily_from_project`
GROUP BY project_id, DATE(bucket_day)
)
SELECT
project_id,
event_date,
CASE WHEN daily_l2_gas_used > 0 THEN daily_l1_gas_used / daily_l2_gas_used ELSE NULL END AS l1_to_l2_gas_used_ratio
FROM project_events
WHERE daily_l2_gas_used > 0;
Optional: link
Add a link to script/notebook or longer form write-up about the metric:
Ratio of Daily L1 Gas Used to L2 Gas Used
Tags
Add one or more keywords to help us categorize your metric. Don't overthink this! Optimism Superchain Gas Efficiency Layer Usage
Brief description
Describe how your impact metric is calculated in 2-3 sentences: This metric calculates the daily ratio of L1 gas used to L2 gas used for each project. A high ratio might indicate projects that rely more heavily on L1 or have less optimized L2 implementations. A lower ratio suggests a preference for the more scalable L2 network.
SQL code block
Insert the SQL that we should run to replicate your impact metric:
Optional: link
Add a link to script/notebook or longer form write-up about the metric: