Examples of org.elasticsearch.common.lucene.index.FilterableTermsEnum$Holder

Package org.elasticsearch.common.lucene.index

Examples of org.elasticsearch.common.lucene.index.FilterableTermsEnum$Holder

org.elasticsearch.common.lucene.index.FilterableTermsEnum
A frequency TermsEnum that returns frequencies derived from a collection of cached leaf termEnums. It also allows to provide a filter to explicitly compute frequencies only for docs that match the filter (heavier!).

        catch (Exception e)
        {
            throw new CertificateParsingException(e.getMessage());
        }
        
        holder = new Holder(new IssuerSerial(generateGeneralNames(name), new DERInteger(cert.getSerialNumber())));
    }

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    }
    
    public AttributeCertificateHolder(
        X509Principal principal) 
    {        
        holder = new Holder(generateGeneralNames(principal));
    }

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        catch (Exception e)
        {
            throw new CertificateParsingException(e.getMessage());
        }


        holder = new Holder(new IssuerSerial(generateGeneralNames(name),
            new DERInteger(cert.getSerialNumber())));
    }

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            new DERInteger(cert.getSerialNumber())));
    }


    public AttributeCertificateHolder(X509Principal principal)
    {
        holder = new Holder(generateGeneralNames(principal));
    }

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     * @param objectDigest The hash value.
     */
    public AttributeCertificateHolder(int digestedObjectType,
        String digestAlgorithm, String otherObjectTypeID, byte[] objectDigest)
    {
        holder = new Holder(new ObjectDigestInfo(digestedObjectType,
            otherObjectTypeID, new AlgorithmIdentifier(digestAlgorithm), Arrays
                .clone(objectDigest)));
    }

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        SearchContext searchContext = context.searchContext();
        IndexReader reader = searchContext.searcher().getIndexReader();
        try {
            if (numberOfAggregatorsCreated == 1) {
                // Setup a termsEnum for sole use by one aggregator
                termsEnum = new FilterableTermsEnum(reader, indexedFieldName, DocsEnum.FLAG_NONE, filter);
            } else {
                // When we have > 1 agg we have possibility of duplicate term frequency lookups 
                // and so use a TermsEnum that caches results of all term lookups
                termsEnum = new FreqTermsEnum(reader, indexedFieldName, true, false, filter, searchContext.bigArrays());
            }

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