{
    "properties": {
      "urlId": {
        "type": "keyword"
      },
      "docId": {
        "type": "keyword"
      },
      "queryId": {
        "type": "keyword"
      },
      "userSessionId": {
        "type": "keyword"
      },
      "url": {
        "type": "keyword"
      },
      "order": {
        "type": "integer"
      },
      "requestedAt": {
        "type": "date",

          "urlId" : {
            "type" : "keyword"
          },
          "docId" : {
            "type" : "keyword"
          },
          "order" : {
            "type" : "integer"
          },
          "queryId" : {
            "type" : "keyword"
          },
          "queryRequestedAt" : {
            "type" : "date",
            "format" : "date_optional_time"
          },
          "requestedAt" : {

import org.opensearch.cluster.metadata.AliasMetadata;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.transport.client.Client;

/**
 * The Suggester class provides functionality for managing and querying suggestion indices.
 * It includes methods for creating, refreshing, and switching indices, as well as for

            }
            final String docId = docIdObj.toString();
            final String queryId = request.getParameter("queryId");

            final String[] docIds = userInfoHelper.getResultDocIds(URLDecoder.decode(queryId, Constants.UTF_8));
            if (docIds == null) {
                throw new WebApiException(HttpServletResponse.SC_BAD_REQUEST, "No searched urls.");

                + fields + ", accessType=" + accessType + ", clientIp=" + clientIp + ", hitCount=" + hitCount + ", languages=" + languages
                + ", queryId=" + queryId + ", queryOffset=" + queryOffset + ", queryPageSize=" + queryPageSize + ", queryTime=" + queryTime
                + ", referer=" + referer + ", requestedAt=" + requestedAt + ", responseTime=" + responseTime + ", roles="

    // ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsClickLogCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsClickLogCQ doGetConditionQuery() {

import jcifs.smb1.dcerpc.ndr.NdrObject;

/**
 * MSRPC implementation for querying LSA policy information.
 * This class provides functionality to retrieve information about
 * LSA policy settings using the LSA RPC interface.
 */
public class MsrpcQueryInformationPolicy extends lsarpc.LsarQueryInformationPolicy {

    /**
     * Creates a new request to query LSA policy information.
     *
     * @param policyHandle the LSA policy handle

 * Contains the document ID and query parameters needed to retrieve thumbnail images.
 */
public class ThumbnailForm {

    /**
     * The document ID for which to retrieve the thumbnail.
     */
    @Required
    @Size(max = 100)
    public String docId;

    /**
     * The query ID associated with the search request.
     */
    @Required
    public String queryId;

    /**

# 查询参数模型 { #query-parameter-models }

如果你有一组具有相关性的**查询参数**，你可以创建一个 **Pydantic 模型**来声明它们。

这将允许你在**多个地方**去**复用模型**，并且一次性为所有参数声明验证和元数据。😎

/// note | 注意

FastAPI 从 `0.115.0` 版本开始支持这个特性。🤓

///

## 使用 Pydantic 模型的查询参数 { #query-parameters-with-a-pydantic-model }

在一个 **Pydantic 模型**中声明你需要的**查询参数**，然后将参数声明为 `Query`：

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

  public ImmutableMultisetFloodingTest() {
    super(
        asList(ConstructionPathway.values()),
        n -> n * log(n),
        ImmutableList.of(
            QueryOp.create(
                "count",
                (ms, o) -> {
                  int unused = ms.count(o);
                },
                Math::log)));
  }

  /** All the ways to create an ImmutableMultiset. */