jonome[03] MDAO 101: SQL WHERE copy
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# [Ethereum] 1. Ethereum.Core Table Walkthough: Swaps
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💡 Welcome aboard! You’ve landed on one of our evergreen education bounties - open for everyone at anytime.
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This particular SQL guide focuses on the new **ethereum.core tables**. We take you on a step by step journey to look at the number of swaps and volume of swaps for the USDC-WETH pool on Sushiswap.
At the end of this guide, we’ve included a challenge for you to apply what you’ve learnt to compare swap volume and count for the WBTC-WETH pool on Sushiswap. The estimated time to go through this guide is 30 minutes - 1 hour.
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## Here’s what we’ll be doing:
Visualize the amount of USDC swapped and count of swaps in the USDC-WETH SushiSwap pool by day in the past 7 days using the fact_event_logs table. In this walk through, we are going to analyze emitted swap events from the SushiSwap USDC-WETH pool.
USDC-WETH Pool: https://etherscan.io/address/0x397FF1542f962076d0BFE58eA045FfA2d347ACa0#tokentxns
In order to complete this task using the event logs, we will need to explore a few concepts:
1. Finding swap events for the relevant pool
2. Finding token details for relevant tokens
3. Working with JSON object columns
4. Aggregating the data
5. Visualizing our findings
Solution Example:
https://lh4.googleusercontent.com/mBOlVpkBNVLXvEz_2q51B0AmWvfELQpAYGRgCOplkJViZGQ4DcWuvHEY2-Q6q9DPk78D1Hla_2zRz_E95nvKYf1FXnV0NGBLCAAeu89CQuww3rIl7ZAyQlBFwvwvtzbRsrdpp3F2
### **Finding Swap Events**
To find swaps in the USDC-WETH Sushi Pool, we will need to filter for three things:
1. `BLOCK_TIMESTAMP` - this is when the transaction occurred. This is a rather large table, so we will want to make sure we filter for the last 7 days first.
Run a query to Download Data