How is upstream propagation of the persistent hash different from the old position learning?
Position learning is a generic term. The persistent hash is one specific form of learning. When you merge two Persistent Hash files, it’s said that the “merged information will be contained in the main persistent hash file, whose size will be unchanged”. When you merge two files, you actually add information, unless they’re identical, and if you don’t delete anything from the original “main persistent hash file”, the size should always be bigger after adding new information from the secondary file. Am I missing something here? During the merging of the two persistent hash files, higher-priority information is kept in the merged file while lower-priority information is discarded. Discussion can be found here. Persistent hash resizing is failing for me. Make sure that you have a good amount of extra space on your hard drive. Ditto for persistent hash merging. Persistent hash resizing is failing for me. Persistent hash resizing and merging only works with relative filenames (ie. “Main.rph
