Assign a thesaurus to be used by the NetricsQuery object. The thesaurus and the query fields should use the same character map.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
| Visual Basic (Declaration) |
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| Public Sub useThesaurus( _ ByVal thesname As String, _ ByVal theswgt As Double _ ) |
| C# |
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| public void useThesaurus( string thesname, double theswgt ) |
| C++ |
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| public: void useThesaurus( String thesname, double theswgt ) sealed |
| J# |
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| public void useThesaurus( string thesname, double theswgt ) |
| JScript |
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| public
function useThesaurus( thesname : String, theswgt : double ) |
Parameters
- thesname
- the name of the thesaurus
- theswgt
- the weight to give thesaurus matches
Example
This sample shows an AND query where one of the querylets uses a Thesaurus.
Copy Code
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// This is an example of an AND query where different query strings can be used in a search across
// different fields within a table. This requires first configuring a Simple query for each query
// string along with the fields to be searched and then either "And" or "Or" them together. In this
// we will query the "names" table using a query string against the "last" field and a another query
// string against the "first" field. Each of these queries are referred to as a querylet. We will
// apply a higher weight to the "last" field querylet and apply a the "nicknames" thesuaurs to the
// "first" field querylet treating the related terms within the thesaurus as equivalent.
using System;
using NetricsServerInterface;
class MyClass
{
private static NetricsServerInterface.NetricsServerInterface si = null;
public static void Main()
{
try
{
String host = "localhost";
int port = 5051;
si = new NetricsServerInterface.NetricsServerInterface(host, port);
// Table is the TIBCO® Patterns - Search table to be search/matched against query
String table = "names";
// Going to use 2 NetricsQuery for the search configuration
NetricsQuery[] nqs = new NetricsQuery[2];
// Create NetricsSearchOpts object using the defaults
NetricsSearchOpts opts = new NetricsSearchOpts();
// Use Symmetric scoring to compare full texts of both query and record for similarity
// Calculate lower score if record contains more data than what is in the query
opts.scoreType(NetricsSearchOpts.score_types.SCORE_SYMMETRIC);
// Create the NetricsSearchCfg pointing to the table to be searched/matched against
NetricsSearchCfg tblCfg = new NetricsSearchCfg(table);
// Query will contain the query string for the first querylet which is "last
String query = "brown";
// FieldNames contain the fields within the table to be searhed/matched against.
// If fieldNames is set to null then all fields will be searched/matched against
String[] fieldNames = { "last" };
// Create a Simple query for the "last" names search
nqs[0] = NetricsQuery.Simple(query, fieldNames, null);
// Set up the second Simple query
query = "den";
fieldNames[0] = "first";
nqs[1] = NetricsQuery.Simple(query, fieldNames, null);
// Use the nicknames thesaurus for this querylet associated with "first" field search
// and with the weight of 1.0 to treat related terms or synonyms the same.
// i.e. "Den" is equivalent to "Dennis"
nqs[1].useThesaurus("nicknames", 1.0);
// QueryletWeights is an array that must be the same length as the number of querylets
// and is the weight applied to each querylet in the search which impacts the similarity
// scrore. In this case there will be two querylets that will be ANDed together to create
// a single search configuration
double[] queryletWeights = { 1.0, .5 };
// Now AND the two Simple querys together to create the final NetricsQuery for the search
NetricsQuery nqAnded = NetricsQuery.And(queryletWeights, nqs);
// Set the NetricsSearchCfg using the And'd NetricsQuery;
tblCfg.setNetricsQuery(nqAnded);
// Perform the search/match using the NetricsSearchCfg and NetricsSearchOpts
NetricsSearchResponse resp = si.search(tblCfg, opts);
String s = "";
// Get the results of the search/match
NetricsSearchResult[] res = resp.getSearchResults();
// Create viables for result processing
String[] xfieldNames;
String[] xfields;
// Iterate through the result records
for (int i = 0; i < res.Length; i++)
{
// Get the fieldNames in the result record
xfieldNames = res[i].getFieldNames();
// Get the data for each fieldName in result record
xfields = res[i].getFields();
// Get the score for this result record
double score = res[i].getMatchScore();
// Build the printline for the result record
s = s + "Rank=" + i + ", Score=" + score.ToString();
for (int x = 0; x < xfields.Length; x++)
{
s = s + ", " + xfieldNames[x] + "=" + xfields[x];
}
s = s + "\n";
}
Console.WriteLine(s);
}
catch (NetricsException e)
{
Console.Write(e.getErrorDescription() + "\n");
}
}
}
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