We have indexes of around 1 million docs and around 25 searchable fields.
We noticed that without any searches performed on the indexes, on startup, the memory taken up by the searcher is roughly 7 times the .tii file size. The .tii file is read into memory as per the code. Our .tii files are around 8-10 MB in size and our startup memory foot print is around 60-70 MB.
Then when we start doing our searches, the memory goes up, depending on the fields we search on. We are noticing that if we start searching on new fields, the memory kind of goes up. Doug, Your calculation below on what is taken up by the searcher, does it take into account the .tii file being read into memory or am I not making any sense ? 1 byte * Number of searchable fields in your index * Number of docs in your index
plus
1k bytes * number of terms in query
plus
1k bytes * number of phrase terms in query
You make perfect sense. The formula above does not include the .tii. My mistake: I forgot that. By default, every 128th Term in the index is read into memory, to permit random access to terms. These are stored in the .tii file, compressed. So it is not surprising that they require 7x the size of the .tii file in memory.
Doug
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