<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c22dfbde6567495bb66af0cf40df699d&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c22dfbde6567495bb66af0cf40df699d-5f5e27d33cabe881.gif</thumbnail_url><duration>300.02</duration><title>Enhancing Reindexing Efficiency</title><description>In this video, I’m excited to share the improvements we&apos;ve made to our reindexing process by caching contract call data. By implementing a new cache table for strategy timings, we can significantly speed up the indexing by reducing RPC calls. I demonstrate how this works in practice and highlight the successful tests we&apos;ve run. Please take a look and let me know your thoughts on these changes!</description></oembed>