Index size 3x searchable terms size

[deepakbkar]

Hi,
I am using latest Bleve version and I am only able to get roughly 3 x index size on disk for searchable terms when using a fixed mapping. I am storing minimum metadata in my documents along with searchable content. I have also disabled term vectors and other options that seem to be storing more information in the index.

I think this might be expected and wanted to know if there are some configurations for compression I can try to reduce the disk space. (ChatGpt tells me I can use badger with compression but I could not find any examples)
I am creating large number of relatively smaller documents. Could this be also be a reason for this?

Here is sample code for creating mapping:

case "keyword":
    keywordMapping := bleve.NewKeywordFieldMapping()
    keywordMapping.Index = index
    keywordMapping.Store = index
    keywordMapping.IncludeTermVectors = false // Disable term vectors
    keywordMapping.IncludeInAll = false       // Disable norms (similar effect)
    keywordMapping.SkipFreqNorm = true        // Disable freq and norms
    keywordMapping.DocValues = false          // Disable doc values
    documentMapping.AddFieldMappingsAt(fieldName, keywordMapping)
case "text":
    textMapping := bleve.NewTextFieldMapping()
    textMapping.Index = index
    textMapping.Store = stored
    textMapping.IncludeTermVectors = false // Disable term vectors
    textMapping.IncludeInAll = false       // Disable norms (similar effect)
    textMapping.SkipFreqNorm = true        // Disable freq and norms
    textMapping.DocValues = false          // Disable doc values
    documentMapping.AddFieldMappingsAt(fieldName, textMapping)

Any pointers will be helpful.