elasticsearch boosting slowing query <p>this is a very novice question but I'm trying to understand how boosting certain elements in a document works. </p> <p>I started with this query, </p> <pre><code>{ "from": 0, "size": 6, "fields": [ "_id" ], "sort": { "_score": "desc", "vendor.name.stored": "asc", "item_name.stored": "asc" }, "query": { "filtered": { "query": { "query_string": { "fields": [ "_all" ], "query": "Calprotectin", "default_operator": "AND" } }, "filter": { "and": [ { "query": { "query_string": { "fields": [ "targeted_countries" ], "query": "All US" } } } ] } } } } </code></pre> <p>then i needed to boost certain elements in the document more than the others so I did this </p> <pre><code>{ "from": 0, "size": 60, "fields": [ "_id" ], "sort": { "_score": "desc", "vendor.name.stored": "asc", "item_name.stored": "asc" }, "query": { "filtered": { "query": { "query_string": { "fields": [ "item_name^4", "vendor^4", "id_plus_name", "category_name^3", "targeted_countries", "vendor_search_name^4", "AdditionalProductInformation^0.5", "AskAScientist^0.5", "BuyNowURL^0.5", "Concentration^0.5", "ProductLine^0.5", "Quantity^0.5", "URL^0.5", "Activity^1", "Form^1", "Immunogen^1", "Isotype^1", "Keywords^1", "Matrix^1", "MolecularWeight^1", "PoreSize^1", "Purity^1", "References^1", "RegulatoryStatus^1", "Specifications/Features^1", "Speed^1", "Target/MoleculeDescriptor^1", "Time^1", "Description^2", "Domain/Region/Terminus^2", "Method^2", "NCBIGeneAliases^2", "Primary/Secondary^2", "Source/ExpressionSystem^2", "Target/MoleculeSynonym^2", "Applications^3", "Category^3", "Conjugate/Tag/Label^3", "Detection^3", "GeneName^3", "Host^3", "ModificationType^3", "Modifications^3", "MoleculeName^3", "Reactivity^3", "Species^3", "Target^3", "Type^3", "AccessionNumber^4", "Brand/Trademark^4", "CatalogNumber^4", "Clone^4", "entrezGeneID^4", "GeneSymbol^4", "OriginalItemName^4", "Sequence^4", "SwissProtID^4", "option.AntibodyProducts^4", "option.AntibodyRanges&amp;Modifications^1", "option.Applications^4", "option.Conjugate^3", "option.GeneID^4", "option.HostSpecies^3", "option.Isotype^3", "option.Primary/Secondary^2", "option.Reactivity^4", "option.Search^1", "option.TargetName^1", "option.Type^4" ], "query": "Calprotectin", "default_operator": "AND" } }, "filter": { "and": [ { "query": { "query_string": { "fields": [ "targeted_countries" ], "query": "All US" } } } ] } } } } </code></pre> <p>the query slowed down considerably, am I doing this correctly? Is there a way to speed it up? I'm currently in the process of doing the boosting when I index the document, but using it in the query that way is best for the way my application runs. Any help is much appreciated </p>