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Rollup search

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Rollup search

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This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

The Rollup Search endpoint allows searching rolled-up data using the standard query DSL. The Rollup Search endpoint is needed because, internally, rolled-up documents utilize a different document structure than the original data. The Rollup Search endpoint rewrites standard query DSL into a format that matches the rollup documents, then takes the response and rewrites it back to what a client would expect given the original query.

Request

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GET {index}/_rollup_search

Path Parameters

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index: (string) Index, indices or index-pattern to execute a rollup search against. This can include both rollup and non-rollup indices.

Rules for the index parameter:

At least one index/index-pattern must be specified. This can be either a rollup or non-rollup index. Omitting the index parameter, or using _all, is not permitted
Multiple non-rollup indices may be specified
Only one rollup index may be specified. If more than one are supplied an exception will be thrown
Index patterns may be used, but if they match more than one rollup index an exception will be thrown.

Request Body

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The request body supports a subset of features from the regular Search API. It supports:

query param for specifying an DSL query, subject to some limitations (see Rollup Search Limitations and Rollup Aggregation Limitations
aggregations param for specifying aggregations

Functionality that is not available:

size: because rollups work on pre-aggregated data, no search hits can be returned and so size must be set to zero or omitted entirely.
highlighter, suggestors, post_filter, profile, explain are similarly disallowed

Historical-only search example

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Imagine we have an index named sensor-1 full of raw data, and we have created a rollup job with the following configuration:

PUT _rollup/job/sensor
{
    "index_pattern": "sensor-*",
    "rollup_index": "sensor_rollup",
    "cron": "*/30 * * * * ?",
    "page_size" :1000,
    "groups" : {
      "date_histogram": {
        "field": "timestamp",
        "interval": "1h",
        "delay": "7d"
      },
      "terms": {
        "fields": ["node"]
      }
    },
    "metrics": [
        {
            "field": "temperature",
            "metrics": ["min", "max", "sum"]
        },
        {
            "field": "voltage",
            "metrics": ["avg"]
        }
    ]
}

This rolls up the sensor-* pattern and stores the results in sensor_rollup. To search this rolled up data, we need to use the _rollup_search endpoint. However, you’ll notice that we can use regular query DSL to search the rolled-up data:

GET /sensor_rollup/_rollup_search
{
    "size": 0,
    "aggregations": {
        "max_temperature": {
            "max": {
                "field": "temperature"
            }
        }
    }
}

The query is targeting the sensor_rollup data, since this contains the rollup data as configured in the job. A max aggregation has been used on the temperature field, yielding the following response:

{
  "took" : 102,
  "timed_out" : false,
  "terminated_early" : false,
  "_shards" : ... ,
  "hits" : {
    "total" : {
        "value": 0,
        "relation": "eq"
    },
    "max_score" : 0.0,
    "hits" : [ ]
  },
  "aggregations" : {
    "max_temperature" : {
      "value" : 202.0
    }
  }
}

The response is exactly as you’d expect from a regular query + aggregation; it provides some metadata about the request (took, _shards, etc), the search hits (which is always empty for rollup searches), and the aggregation response.

Rollup searches are limited to functionality that was configured in the rollup job. For example, we are not able to calculate the average temperature because avg was not one of the configured metrics for the temperature field. If we try to execute that search:

GET sensor_rollup/_rollup_search
{
    "size": 0,
    "aggregations": {
        "avg_temperature": {
            "avg": {
                "field": "temperature"
            }
        }
    }
}

{
    "error" : {
        "root_cause" : [
            {
                "type" : "illegal_argument_exception",
                "reason" : "There is not a rollup job that has a [avg] agg with name [avg_temperature] which also satisfies all requirements of query.",
                "stack_trace": ...
            }
        ],
        "type" : "illegal_argument_exception",
        "reason" : "There is not a rollup job that has a [avg] agg with name [avg_temperature] which also satisfies all requirements of query.",
        "stack_trace": ...
    },
    "status": 400
}

Searching both historical rollup and non-rollup data

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The Rollup Search API has the capability to search across both "live", non-rollup data as well as the aggregated rollup data. This is done by simply adding the live indices to the URI:

GET sensor-1,sensor_rollup/_rollup_search 
{
    "size": 0,
    "aggregations": {
        "max_temperature": {
            "max": {
                "field": "temperature"
            }
        }
    }
}

Note the URI now searches sensor-1 and sensor_rollup at the same time

When the search is executed, the Rollup Search endpoint will do two things:

The original request will be sent to the non-rollup index unaltered
A rewritten version of the original request will be sent to the rollup index.

When the two responses are received, the endpoint will then rewrite the rollup response and merge the two together. During the merging process, if there is any overlap in buckets between the two responses, the buckets from the non-rollup index will be used.

The response to the above query will look as expected, despite spanning rollup and non-rollup indices:

{
  "took" : 102,
  "timed_out" : false,
  "terminated_early" : false,
  "_shards" : ... ,
  "hits" : {
    "total" : {
        "value": 0,
        "relation": "eq"
    },
    "max_score" : 0.0,
    "hits" : [ ]
  },
  "aggregations" : {
    "max_temperature" : {
      "value" : 202.0
    }
  }
}

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