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layout: doc_page
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A search query returns dimension values that match the search specification.
{
"queryType": "search",
"dataSource": "sample_datasource",
"granularity": "day",
"searchDimensions": [
"dim1",
"dim2"
],
"query": {
"type": "insensitive_contains",
"value": "Ke"
},
"sort" : {
"type": "lexicographic"
},
"intervals": [
"2013-01-01T00:00:00.000/2013-01-03T00:00:00.000"
]
}
There are several main parts to a search query:
|property|description|required?|
|--------|-----------|---------|
|queryType|This String should always be "search"; this is the first thing Druid looks at to figure out how to interpret the query|yes|
|dataSource|A String defining the data source to query, very similar to a table in a relational database|yes|
|granularity|Defines the granularity of the query. See [Granularities](Granularities.html)|yes|
|filter|See [Filters](Filters.html)|no|
|intervals|A JSON Object representing ISO-8601 Intervals. This defines the time ranges to run the query over.|yes|
|searchDimensions|The dimensions to run the search over. Excluding this means the search is run over all dimensions.|no|
|query|See [SearchQuerySpec](SearchQuerySpec.html).|yes|
|sort|How the results of the search should sorted. Two possible types here are "lexicographic" and "strlen".|yes|
|context|An additional JSON Object which can be used to specify certain flags.|no|
The format of the result is:
[
{
"timestamp": "2012-01-01T00:00:00.000Z",
"result": [
{
"dimension": "dim1",
"value": "Ke$ha"
},
{
"dimension": "dim2",
"value": "Ke$haForPresident"
}
]
},
{
"timestamp": "2012-01-02T00:00:00.000Z",
"result": [
{
"dimension": "dim1",
"value": "SomethingThatContainsKe"
},
{
"dimension": "dim2",
"value": "SomethingElseThatContainsKe"
}
]
}
]