




Deep freeze persistent streams save the most amount of information and take longer to process than freeze levels designed to work within a single session, or a single address space (team). With deep freeze, you can make no assumptions about when and where the data will be streamed back in to recreate the original objects in memory. If you are streaming to a kDeepFreeze stream, you may want to do some compression on your streamed data. In many cases, compression makes data more compact and makes streaming faster because you are writing and reading fewer blocks on the disk.
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