64. Databricks | Pyspark | Delta Lake: Optimize Command - File Compaction

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Azure Databricks Learning: Delta Lake - Optimize Command
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What is Optimize Command in delta table and how to apply in delta lake development?
Optimize is one of the performance optimization techinique used in delta lake. It compacts the smaller size files into optimal size.

This video talks more about optimize command

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Awesome videos and the best in youtibe.
Please add more videos on databricks integration with ADF .
More scenarios on databricks integration with ADF with parametrization, reading multiple files etc

vishalaaa
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Before executing Optimize, there were 7 files. When we execute OPTIMIZE, it has removed 5 files. May I know why OPTMIZE has NOT removed 7 files?

vinayakkulkarni
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Hello Sir,
How can we achieve the same in Standalone Spark?

satheeshkumar
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any Impact on Time Travelling with OPTIMIZE Command?

pratikparbhane
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How does the auto optimize and compact command different from this ? Can we set optimize command at table level ?

venkatasai
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Hi sir, it was good explanation..

I have a scenario where in adls delta partitioned on year, month, day and many delta part file present like 250 entries for a single day like wise 30 days in a month..

Need to optimize it, how can I reduce many smaller size files to reasonable files size, so that while reading it shouldn't take much time.. any idea ?

gowrishankart
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Do we have to specify using delta . What if we don't use that argument?

OmkarGurme
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Hi Raja Nice explanation. what is App registration?

sureshkoduru
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Hi Sir, Where can i get the code of yours? please reply

aishwaryam
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How to permanently delete the record then ?

harshitvishwakarma