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2.1 KiB
2.1 KiB
A search query returns dimension values that match the search specification.
<code>{
"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"
]
}
</code>
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 | yes |
filter | See Filters | 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. | 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:
<code>[
{
"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"
}
]
}
]
</code>