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 |  | 
 | <h1 id="search-queries">Search Queries</h1> | 
 |  | 
 | <p>A search query returns dimension values that match the search specification.</p> | 
 | <div class="highlight"><pre><code class="language-json" data-lang="json"><span></span><span class="p">{</span> | 
 |   <span class="nt">"queryType"</span><span class="p">:</span> <span class="s2">"search"</span><span class="p">,</span> | 
 |   <span class="nt">"dataSource"</span><span class="p">:</span> <span class="s2">"sample_datasource"</span><span class="p">,</span> | 
 |   <span class="nt">"granularity"</span><span class="p">:</span> <span class="s2">"day"</span><span class="p">,</span> | 
 |   <span class="nt">"searchDimensions"</span><span class="p">:</span> <span class="p">[</span> | 
 |     <span class="s2">"dim1"</span><span class="p">,</span> | 
 |     <span class="s2">"dim2"</span> | 
 |   <span class="p">],</span> | 
 |   <span class="nt">"query"</span><span class="p">:</span> <span class="p">{</span> | 
 |     <span class="nt">"type"</span><span class="p">:</span> <span class="s2">"insensitive_contains"</span><span class="p">,</span> | 
 |     <span class="nt">"value"</span><span class="p">:</span> <span class="s2">"Ke"</span> | 
 |   <span class="p">},</span> | 
 |   <span class="nt">"sort"</span> <span class="p">:</span> <span class="p">{</span> | 
 |     <span class="nt">"type"</span><span class="p">:</span> <span class="s2">"lexicographic"</span> | 
 |   <span class="p">},</span> | 
 |   <span class="nt">"intervals"</span><span class="p">:</span> <span class="p">[</span> | 
 |     <span class="s2">"2013-01-01T00:00:00.000/2013-01-03T00:00:00.000"</span> | 
 |   <span class="p">]</span> | 
 | <span class="p">}</span> | 
 | </code></pre></div> | 
 | <p>There are several main parts to a search query:</p> | 
 |  | 
 | <table><thead> | 
 | <tr> | 
 | <th>property</th> | 
 | <th>description</th> | 
 | <th>required?</th> | 
 | </tr> | 
 | </thead><tbody> | 
 | <tr> | 
 | <td>queryType</td> | 
 | <td>This String should always be "search"; this is the first thing Apache Druid (incubating) looks at to figure out how to interpret the query.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>dataSource</td> | 
 | <td>A String or Object defining the data source to query, very similar to a table in a relational database. See <a href="../querying/datasource.html">DataSource</a> for more information.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>granularity</td> | 
 | <td>Defines the granularity of the query. See <a href="../querying/granularities.html">Granularities</a>.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>filter</td> | 
 | <td>See <a href="../querying/filters.html">Filters</a>.</td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>limit</td> | 
 | <td>Defines the maximum number per Historical process (parsed as int) of search results to return.</td> | 
 | <td>no (default to 1000)</td> | 
 | </tr> | 
 | <tr> | 
 | <td>intervals</td> | 
 | <td>A JSON Object representing ISO-8601 Intervals. This defines the time ranges to run the query over.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>searchDimensions</td> | 
 | <td>The dimensions to run the search over. Excluding this means the search is run over all dimensions.</td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>query</td> | 
 | <td>See <a href="../querying/searchqueryspec.html">SearchQuerySpec</a>.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>sort</td> | 
 | <td>An object specifying how the results of the search should be sorted.<br/>Possible types are "lexicographic" (the default sort), "alphanumeric", "strlen", and "numeric".<br/>See <a href="./sorting-orders.html">Sorting Orders</a> for more details.</td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>context</td> | 
 | <td>See <a href="../querying/query-context.html">Context</a></td> | 
 | <td>no</td> | 
 | </tr> | 
 | </tbody></table> | 
 |  | 
 | <p>The format of the result is:</p> | 
 | <div class="highlight"><pre><code class="language-json" data-lang="json"><span></span><span class="p">[</span> | 
 |   <span class="p">{</span> | 
 |     <span class="nt">"timestamp"</span><span class="p">:</span> <span class="s2">"2012-01-01T00:00:00.000Z"</span><span class="p">,</span> | 
 |     <span class="nt">"result"</span><span class="p">:</span> <span class="p">[</span> | 
 |       <span class="p">{</span> | 
 |         <span class="nt">"dimension"</span><span class="p">:</span> <span class="s2">"dim1"</span><span class="p">,</span> | 
 |         <span class="nt">"value"</span><span class="p">:</span> <span class="s2">"Ke$ha"</span><span class="p">,</span> | 
 |         <span class="nt">"count"</span><span class="p">:</span> <span class="mi">3</span> | 
 |       <span class="p">},</span> | 
 |       <span class="p">{</span> | 
 |         <span class="nt">"dimension"</span><span class="p">:</span> <span class="s2">"dim2"</span><span class="p">,</span> | 
 |         <span class="nt">"value"</span><span class="p">:</span> <span class="s2">"Ke$haForPresident"</span><span class="p">,</span> | 
 |         <span class="nt">"count"</span><span class="p">:</span> <span class="mi">1</span> | 
 |       <span class="p">}</span> | 
 |     <span class="p">]</span> | 
 |   <span class="p">},</span> | 
 |   <span class="p">{</span> | 
 |     <span class="nt">"timestamp"</span><span class="p">:</span> <span class="s2">"2012-01-02T00:00:00.000Z"</span><span class="p">,</span> | 
 |     <span class="nt">"result"</span><span class="p">:</span> <span class="p">[</span> | 
 |       <span class="p">{</span> | 
 |         <span class="nt">"dimension"</span><span class="p">:</span> <span class="s2">"dim1"</span><span class="p">,</span> | 
 |         <span class="nt">"value"</span><span class="p">:</span> <span class="s2">"SomethingThatContainsKe"</span><span class="p">,</span> | 
 |         <span class="nt">"count"</span><span class="p">:</span> <span class="mi">1</span> | 
 |       <span class="p">},</span> | 
 |       <span class="p">{</span> | 
 |         <span class="nt">"dimension"</span><span class="p">:</span> <span class="s2">"dim2"</span><span class="p">,</span> | 
 |         <span class="nt">"value"</span><span class="p">:</span> <span class="s2">"SomethingElseThatContainsKe"</span><span class="p">,</span> | 
 |         <span class="nt">"count"</span><span class="p">:</span> <span class="mi">2</span> | 
 |       <span class="p">}</span> | 
 |     <span class="p">]</span> | 
 |   <span class="p">}</span> | 
 | <span class="p">]</span> | 
 | </code></pre></div> | 
 | <h3 id="implementation-details">Implementation details</h3> | 
 |  | 
 | <h4 id="strategies">Strategies</h4> | 
 |  | 
 | <p>Search queries can be executed using two different strategies. The default strategy is determined by the | 
 | "druid.query.search.searchStrategy" runtime property on the Broker. This can be overridden using "searchStrategy" in the | 
 | query context. If neither the context field nor the property is set, the "useIndexes" strategy will be used.</p> | 
 |  | 
 | <ul> | 
 | <li><p>"useIndexes" strategy, the default, first categorizes search dimensions into two groups according to their support for | 
 | bitmap indexes. And then, it applies index-only and cursor-based execution plans to the group of dimensions supporting | 
 | bitmaps and others, respectively. The index-only plan uses only indexes for search query processing. For each dimension, | 
 | it reads the bitmap index for each dimension value, evaluates the search predicate, and finally checks the time interval | 
 | and filter predicates. For the cursor-based execution plan, please refer to the "cursorOnly" strategy. The index-only | 
 | plan shows low performance for the search dimensions of large cardinality which means most values of search dimensions | 
 | are unique.</p></li> | 
 | <li><p>"cursorOnly" strategy generates a cursor-based execution plan. This plan creates a cursor which reads a row from a | 
 | queryableIndexSegment, and then evaluates search predicates. If some filters support bitmap indexes, the cursor can read | 
 | only the rows which satisfy those filters, thereby saving I/O cost. However, it might be slow with filters of low selectivity.</p></li> | 
 | <li><p>"auto" strategy uses a cost-based planner for choosing an optimal search strategy. It estimates the cost of index-only | 
 | and cursor-based execution plans, and chooses the optimal one. Currently, it is not enabled by default due to the overhead | 
 | of cost estimation.</p></li> | 
 | </ul> | 
 |  | 
 | <h4 id="server-configuration">Server configuration</h4> | 
 |  | 
 | <p>The following runtime properties apply:</p> | 
 |  | 
 | <table><thead> | 
 | <tr> | 
 | <th>Property</th> | 
 | <th>Description</th> | 
 | <th>Default</th> | 
 | </tr> | 
 | </thead><tbody> | 
 | <tr> | 
 | <td><code>druid.query.search.searchStrategy</code></td> | 
 | <td>Default search query strategy.</td> | 
 | <td>useIndexes</td> | 
 | </tr> | 
 | </tbody></table> | 
 |  | 
 | <h4 id="query-context">Query context</h4> | 
 |  | 
 | <p>The following query context parameters apply:</p> | 
 |  | 
 | <table><thead> | 
 | <tr> | 
 | <th>Property</th> | 
 | <th>Description</th> | 
 | </tr> | 
 | </thead><tbody> | 
 | <tr> | 
 | <td><code>searchStrategy</code></td> | 
 | <td>Overrides the value of <code>druid.query.search.searchStrategy</code> for this query.</td> | 
 | </tr> | 
 | </tbody></table> | 
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