jonome[03] MDAO 101: SQL WHERE copy
    # [Ethereum] 1. Ethereum.Core Table Walkthough: Swaps

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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, weve included a challenge for you to apply what youve 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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    ## Heres what well 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