Merge Join Internals in SQL Server | Query Processing: Nested-Loop joins and Merge join

#ssunitech #sqlserverperformancetuning
Without additional optimizations, SQL Server's Merge Join algorithm is the fastest physical join operator available. In this episode we dive into the internals to understand how the merge join algorithm works, as well as what it means for our query performance.

[ptrupti]

I understand completely after watching your video, Thank you

[yashwanthv]

Thanks for the videos with good explanation

[sdef]

Absolutely loved this playlist. Learned a lot!

[SanataniHindu]

Very Good explain, Thank you so much.👏

[UmpikLumpik]

Thank you very much for this series, I've learned a lot!

[abramswee]

Thank you very much for sharing your knowledge

[stech]

Thank you, good learning! Do you have any tutorial on how does wrong join order impacts the performance or how can we resolve or catch those issues by looking at the script or more details like tbl count etc. Secondly, I am new to your new channel, however, do you have detailed video focusing on tuning SP's? Again, thanks for your time and efforts in making this performance tuning
videos, much appreciated.

[alkapant]

Hi Sushil, when will you upload the next video of the series?

[shreyashchoudhary]

can you implemet partitioning or dynamic partitioning in tables, like a table is loaded daily have millions of records coming every day, how to partiton it dynamically via ADF, table data have date column

[nidhisharma]

Could you please make the video on Has join

[UmpikLumpik]

This example doesn't work for me... When I have Clustered index on both same sized tables and I join them while selecting W.* I have Hash Match. The only when I was able to get Merge Join was: 1. when both are same size tables and I take all content from both of them 2. when they are not same size and I'm taking all the content from the small table, doesn't matter for the other one.