Wrong Stats on Delta MERGE in Fabric? Ways to Get Accurate Metrics - Part 1 скачать в хорошем качестве

Wrong Stats on Delta MERGE in Fabric? Ways to Get Accurate Metrics - Part 1

🔍 Are you getting incorrect metrics when using MERGE with Delta Tables in Microsoft Fabric? You're not alone! Many developers face challenges when retrieving the correct count of inserted and updated records. In Part 1, I explain: ✅ Reading Last Versions – Why it may return outdated stats ✅ Using Timestamp – A better but still risky approach ✅ Using Version – Can it guarantee accurate results? 00:00 – Intro: What is MERGE and why we extract stats 02:11 – Approaches for finding stats (1, 2, 3 of 6) 09:48 – Demo: Finding stats using last version of Delta table 23:04 – Demo: Finding stats by filtering Delta log with timestamp 29:56 – Demo: Finding stats by filtering Delta log with version number 35:46 – Outro: Summarization of three methods, which one we should use 📌 Watch Part 2 for more advanced methods! →    • Wrong Stats on Delta MERGE in Fabric? Ways...   In Part 2, I cover Python-tracked SQL, transaction annotations, and marker columns—powerful techniques for ensuring accurate metrics. 📂 Download the notebooks from GitHub → https://github.com/dinesql/youtube-de... 💡 Know a better approach? Found these useful? Share your thoughts in the comments! 🚀 Subscribe for more Microsoft Fabric & Delta Lake content! 🔔 Don't forget to like, share, and comment with your thoughts or questions! #microsoftfabric #spark #deltatable #merge #transaction #tracking #nofinserts #nofupdates #python #stats #delta