{"id":4680,"date":"2022-08-23T23:19:14","date_gmt":"2022-08-23T17:49:14","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-primefaces-autocomplete-from-huge-database-not-acting-fast\/"},"modified":"2022-08-23T23:19:14","modified_gmt":"2022-08-23T17:49:14","slug":"solved-primefaces-autocomplete-from-huge-database-not-acting-fast","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-primefaces-autocomplete-from-huge-database-not-acting-fast\/","title":{"rendered":"[Solved] Primefaces Autocomplete from huge database not acting fast"},"content":{"rendered":"

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I finally went to using an index solar for doing fast requests while my table will contains more than 4 million entries which must be parsed fastly and without consuming a lot of memory.
\nHere’s I my solution maybe someone will have same problem as me.<\/p>\n

public List<Synonym> completeSynonym(String query) {\n\n    List<Synonym> filteredSynonyms = new ArrayList<Synonym>();\n    \/\/ ResultSet result;\n    \/\/ SolrQuery solrQ=new SolrQuery();\n    String sUrl = \"http:\/\/......solr\/synonym_core\";\n\n    SolrServer solr = new HttpSolrServer(sUrl);\n    ModifiableSolrParams parameters = new ModifiableSolrParams();\n    parameters.set(\"q\", \"*:*\"); \/\/ query everything\n    parameters.set(\"fl\", \"id,synonym\");\/\/ send back just the id\n                                                \/\/and synonym values\n    parameters.set(\"wt\", \"json\");\/\/ this in json format\n    parameters.set(\"fq\", \"synonym:\\\"\" + query+\"\\\"~0\"); \/\/my conditions\n\n    QueryResponse response;\n    try {\n\n        if (query.length() > 1) {\n            response = solr.query(parameters);\n\n            SolrDocumentList dl = response.getResults();\n            for (int i = 0; i < dl.size(); i++) {\n                Synonym s = new Synonym();\n                s.setSynonym_id((int) dl.get(i).getFieldValue(\"id\"));\n                s.setSynonymName(dl.get(i).getFieldValue(\"synonym\")\n                        .toString());\n                filteredSynonyms.add(s);\n            }\n        }\n    } catch (SolrServerException e1) {\n        \/\/ TODO Auto-generated catch block\n        e1.printStackTrace();\n    }\n\n    return filteredSynonyms;\n}\n<\/code><\/pre>\n<\/p><\/div>\n
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solved Primefaces Autocomplete from huge database not acting fast <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] I finally went to using an index solar for doing fast requests while my table will contains more than 4 million entries which must be parsed fastly and without consuming a lot of memory. Here’s I my solution maybe someone will have same problem as me. public List<Synonym> completeSynonym(String query) { List<Synonym> filteredSynonyms = … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[1019,340,1020],"class_list":["post-4680","post","type-post","status-publish","format-standard","hentry","category-solved","tag-jsf-2","tag-mysql","tag-primefaces"],"yoast_head":"\n[Solved] Primefaces Autocomplete from huge database not acting fast - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-primefaces-autocomplete-from-huge-database-not-acting-fast\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Primefaces Autocomplete from huge database not acting fast - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] I finally went to using an index solar for doing fast requests while my table will contains more than 4 million entries which must be parsed fastly and without consuming a lot of memory. 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