# Maximum scan for query highlight boundaries.
query.highlight.boundary.max.scan=20
# Scanner type for query highlight boundaries.
query.highlight.boundary.scanner=chars
# Encoder type for query highlighting.
query.highlight.encoder=default
# Whether to force source for query highlighting.
query.highlight.force.source=false
# Fragmenter type for query highlighting.
query.highlight.fragmenter=span
# Offset for query highlight fragments.

* Fixes server name verification of aggregated API servers and webhook admission endpoints ([#56415](https://github.com/kubernetes/kubernetes/pull/56415), [@liggitt](https://github.com/liggitt))
* Update jquery and bootstrap dependencies ([#56445](https://github.com/kubernetes/kubernetes/pull/56445), [@dashpole](https://github.com/dashpole))

Benchmarks independentes da TechEmpower mostram as aplicações **FastAPI** rodando com Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">um dos frameworks Python mais rápidos disponíveis</a>, somente atrás dos próprios Starlette e Uvicorn (utilizados internamente pelo FastAPI).

			query:      "select SUM(s.id) from s3object s Where 2 in s.numbers[*] or 'some' in s.synonyms[*]",
			wantResult: `{"_1":3}`,
		},
		{
			name:  "bignum-1",
			query: `SELECT id from s3object s WHERE s.id <= 9223372036854775807`,
			wantResult: `{"id":0}
{"id":1}
{"id":2}
{"id":3}`,
		},
		{
			name:  "bignum-2",

* Fix a typo in prometheus-to-sd configuration, that drops some stackdriver metrics. ([#56473](https://github.com/kubernetes/kubernetes/pull/56473), [@loburm](https://github.com/loburm))
* Update jquery and bootstrap dependencies ([#56447](https://github.com/kubernetes/kubernetes/pull/56447), [@dashpole](https://github.com/dashpole))



# v1.7.11

    /** The key of the configuration. e.g. _query */
    String QUERY_JSON_DEFAULT_PREFERENCE = "query.json.default.preference";

    /** The key of the configuration. e.g. _query */
    String QUERY_GSA_DEFAULT_PREFERENCE = "query.gsa.default.preference";

    /** The key of the configuration. e.g. ar=ar<br>
     * bg=bg<br>
     * bn=bn<br>
     * ca=ca<br>
     * ckb-iq=ckb-iq<br>
     * ckb_IQ=ckb-iq<br>

    response = client.get("/query/int?query=42")
    assert response.status_code == 200
    assert response.json() == "foo bar 42"


def test_query_int_query_42_5():
    response = client.get("/query/int?query=42.5")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["query", "query"],

     * @return the parsed Query object
     * @throws QueryParseException if the query cannot be parsed
     */
    public Query parse(final String query) {
        return filterChain.parse(query);
    }

    /**
     * Creates a new Lucene query parser with the current configuration.
     * The parser is configured with the default field, analyzer, wildcard settings,
     * and default operator.
     *

    /**
     * Gets the class name of the query this command handles.
     * @return The query class name.
     */
    protected abstract String getQueryClassName();

    /**
     * Registers this query command with the query processor.
     * Associates this command with its query class name in the processor.
     */

    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final TermQuery termQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("TermQuery: query={}, boost={}", query, boost);
            }
            return convertTermQuery(context, termQuery, boost);
        }