The clients are happy with the new optimization techniques introduced in the geodatabase. However, they noticed a bit of performance decline after intense editing sessions, and they asked you whether this can be fixed. We can introduce the concept of compacting here. Like compression, compacting can reduce the geodatabase's size and potentially speed up queries. In the database world, this process is commonly known as vaccuming. However, compacting works differently as compared to compressing. Except for lossy compression, compression in general doesn't exactly get rid of any bytes. It merely packs them up by grouping redundant pieces, while compacting physically deletes and purges unneeded orphan records. We will demonstrate how compacting works, but we first need to understand what happens while editing the geodatabase.
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Hussein Nasser is an Esri award-winning senior GIS solution architect working in the GIS field since 2006. He is the author of three books in the ArcGIS technology: Administering ArcGIS for Server, Learning ArcGIS Geodatabases, and Building Web Applications with ArcGIS, all by Packt Publishing. In 2007, he won the first place at the annual ArcGIS Server Code Challenge, conducted at the Esri Developer Summit in Palm Springs, California. In 2014, he started the IGeometry YouTube channel, where he periodically publishes educational GIS videos.
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Hussein Nasser is an Esri award-winning senior GIS solution architect working in the GIS field since 2006. He is the author of three books in the ArcGIS technology: Administering ArcGIS for Server, Learning ArcGIS Geodatabases, and Building Web Applications with ArcGIS, all by Packt Publishing. In 2007, he won the first place at the annual ArcGIS Server Code Challenge, conducted at the Esri Developer Summit in Palm Springs, California. In 2014, he started the IGeometry YouTube channel, where he periodically publishes educational GIS videos.
Read more about Hussein Nasser