113 lines
4.3 KiB
Plaintext
113 lines
4.3 KiB
Plaintext
[[java-aggs-metrics-scripted-metric]]
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==== Scripted Metric Aggregation
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Here is how you can use
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{ref}/search-aggregations-metrics-scripted-metric-aggregation.html[Scripted Metric Aggregation]
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with Java API.
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===== Prepare aggregation request
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Here is an example on how to create the aggregation request:
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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AggregationBuilders
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.scriptedMetric("agg")
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.initScript("_agg['heights'] = []")
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.mapScript(new Script("if (doc['gender'].value == \"male\") " +
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"{ _agg.heights.add(doc['height'].value) } " +
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"else " +
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"{ _agg.heights.add(-1 * doc['height'].value) }"));
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--------------------------------------------------
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You can also specify a `combine` script which will be executed on each shard:
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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AggregationBuilders
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.scriptedMetric("agg")
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.initScript(new Script("_agg['heights'] = []"))
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.mapScript(new Script("if (doc['gender'].value == \"male\") " +
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"{ _agg.heights.add(doc['height'].value) } " +
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"else " +
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"{ _agg.heights.add(-1 * doc['height'].value) }"))
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.combineScript(new Script("heights_sum = 0; for (t in _agg.heights) { heights_sum += t }; return heights_sum"));
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--------------------------------------------------
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You can also specify a `reduce` script which will be executed on the node which gets the request:
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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AggregationBuilders
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.scriptedMetric("agg")
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.initScript(new Script("_agg['heights'] = []"))
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.mapScript(new Script("if (doc['gender'].value == \"male\") " +
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"{ _agg.heights.add(doc['height'].value) } " +
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"else " +
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"{ _agg.heights.add(-1 * doc['height'].value) }"))
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.combineScript(new Script("heights_sum = 0; for (t in _agg.heights) { heights_sum += t }; return heights_sum"))
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.reduceScript(new Script("heights_sum = 0; for (a in _aggs) { heights_sum += a }; return heights_sum"));
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--------------------------------------------------
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===== Use aggregation response
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Import Aggregation definition classes:
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[source,java]
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--------------------------------------------------
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import org.elasticsearch.search.aggregations.bucket.terms.Terms;
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import org.elasticsearch.search.aggregations.metrics.tophits.TopHits;
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--------------------------------------------------
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[source,java]
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--------------------------------------------------
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// sr is here your SearchResponse object
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ScriptedMetric agg = sr.getAggregations().get("agg");
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Object scriptedResult = agg.aggregation();
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logger.info("scriptedResult [{}]", scriptedResult);
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--------------------------------------------------
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Note that the result depends on the script you built.
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For the first example, this will basically produce:
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[source,text]
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--------------------------------------------------
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scriptedResult object [ArrayList]
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scriptedResult [ {
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"heights" : [ 1.122218480146643, -1.8148918111233887, -1.7626731575142909, ... ]
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}, {
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"heights" : [ -0.8046067304119863, -2.0785486707864553, -1.9183567430207953, ... ]
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}, {
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"heights" : [ 2.092635728868694, 1.5697545960886536, 1.8826954461968808, ... ]
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}, {
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"heights" : [ -2.1863201099468403, 1.6328549117346856, -1.7078288405893842, ... ]
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}, {
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"heights" : [ 1.6043904836424177, -2.0736538674414025, 0.9898266674373053, ... ]
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} ]
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--------------------------------------------------
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The second example will produce:
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[source,text]
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--------------------------------------------------
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scriptedResult object [ArrayList]
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scriptedResult [-41.279615707402876,
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-60.88007362339038,
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38.823270659734256,
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14.840192739445632,
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11.300902755741326]
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--------------------------------------------------
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The last example will produce:
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[source,text]
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--------------------------------------------------
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scriptedResult object [Double]
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scriptedResult [2.171917696507009]
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--------------------------------------------------
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