Update Java documentation for 5.0
Some of the methods have been removed or deprecated. Also related to #21825.
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@ -16,7 +16,7 @@ AggregationBuilder aggregation =
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AggregationBuilders
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.dateHistogram("agg")
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.field("dateOfBirth")
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.interval(DateHistogramInterval.YEAR);
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.dateHistogramInterval(DateHistogramInterval.YEAR);
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--------------------------------------------------
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Or if you want to set an interval of 10 days:
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@ -27,7 +27,7 @@ AggregationBuilder aggregation =
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AggregationBuilders
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.dateHistogram("agg")
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.field("dateOfBirth")
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.interval(DateHistogramInterval.days(10));
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.dateHistogramInterval(DateHistogramInterval.days(10));
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--------------------------------------------------
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@ -14,8 +14,9 @@ Here is an example on how to create the aggregation request:
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--------------------------------------------------
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AggregationBuilder aggregation =
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AggregationBuilders
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.filters("agg", new KeyedFilter("men", QueryBuilders.termQuery("gender", "male")),
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new KeyedFilter("women", QueryBuilders.termQuery("gender", "female")));
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.filters("agg",
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new FiltersAggregator.KeyedFilter("men", QueryBuilders.termQuery("gender", "male")),
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new FiltersAggregator.KeyedFilter("women", QueryBuilders.termQuery("gender", "female")));
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--------------------------------------------------
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@ -36,7 +36,7 @@ Histogram agg = sr.getAggregations().get("agg");
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// For each entry
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for (Histogram.Bucket entry : agg.getBuckets()) {
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Long key = (Long) entry.getKey(); // Key
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Double key = (Double) entry.getKey(); // Key
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long docCount = entry.getDocCount(); // Doc count
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logger.info("key [{}], doc_count [{}]", key, docCount);
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@ -14,7 +14,7 @@ Here is an example on how to create the aggregation request:
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--------------------------------------------------
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AggregationBuilder aggregation =
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AggregationBuilders
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.nested("agg").path("resellers")
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.nested("agg", "resellers")
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.subAggregation(
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AggregationBuilders
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.terms("name").field("resellers.name")
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@ -12,7 +12,7 @@ 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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AvgAggregationBuilder aggregation =
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AggregationBuilders
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.avg("agg")
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.field("height");
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@ -12,7 +12,7 @@ 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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CardinalityAggregationBuilder aggregation =
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AggregationBuilders
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.cardinality("agg")
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.field("tags");
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@ -12,7 +12,7 @@ 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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ExtendedStatsAggregationBuilder aggregation =
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AggregationBuilders
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.extendedStats("agg")
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.field("height");
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@ -13,7 +13,7 @@ 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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GeoBoundsBuilder aggregation =
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AggregationBuilders
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GeoBoundsAggregationBuilder
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.geoBounds("agg")
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.field("address.location")
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.wrapLongitude(true);
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@ -12,7 +12,7 @@ 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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MaxAggregationBuilder aggregation =
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AggregationBuilders
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.max("agg")
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.field("height");
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@ -12,7 +12,7 @@ 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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MinAggregationBuilder aggregation =
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AggregationBuilders
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.min("agg")
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.field("height");
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@ -12,7 +12,7 @@ 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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PercentilesAggregationBuilder aggregation =
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AggregationBuilders
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.percentiles("agg")
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.field("height");
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@ -22,7 +22,7 @@ You can provide your own percentiles instead of using defaults:
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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PercentilesAggregationBuilder aggregation =
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AggregationBuilders
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.percentiles("agg")
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.field("height")
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@ -12,11 +12,11 @@ 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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PercentileRanksAggregationBuilder aggregation =
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AggregationBuilders
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.percentileRanks("agg")
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.field("height")
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.percentiles(1.24, 1.91, 2.22);
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.values(1.24, 1.91, 2.22);
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--------------------------------------------------
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@ -11,21 +11,20 @@ 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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ScriptedMetricAggregationBuilder aggregation = 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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--------------------------------------------------
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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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ScriptedMetricAggregationBuilder 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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@ -40,7 +39,7 @@ You can also specify a `reduce` script which will be executed on the node which
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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ScriptedMetricAggregationBuilder 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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@ -12,7 +12,7 @@ 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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StatsAggregationBuilder aggregation =
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AggregationBuilders
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.stats("agg")
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.field("height");
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[source,java]
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--------------------------------------------------
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MetricsAggregationBuilder aggregation =
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SumAggregationBuilder aggregation =
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AggregationBuilders
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.sum("agg")
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.field("height");
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@ -12,7 +12,7 @@ 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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ValueCountAggregationBuilder aggregation =
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AggregationBuilders
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.count("agg")
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.field("height");
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@ -19,6 +19,7 @@ FilterFunctionBuilder[] functions = {
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new FunctionScoreQueryBuilder.FilterFunctionBuilder(
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exponentialDecayFunction("age", 0L, 1L)) <3>
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};
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QueryBuilder qb = QueryBuilders.functionScoreQuery(functions);
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--------------------------------------------------
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<1> Add a first function based on a query
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<2> And randomize the score based on a given seed
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@ -7,15 +7,9 @@ See {ref}/query-dsl-geo-distance-query.html[Geo Distance Query]
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--------------------------------------------------
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QueryBuilder qb = geoDistanceQuery("pin.location") <1>
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.point(40, -70) <2>
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.distance(200, DistanceUnit.KILOMETERS) <3>
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.optimizeBbox("memory") <4>
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.geoDistance(GeoDistance.ARC); <5>
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.distance(200, DistanceUnit.KILOMETERS); <3>
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--------------------------------------------------
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<1> field
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<2> center point
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<3> distance from center point
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<4> optimize bounding box: `memory`, `indexed` or `none`
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<5> distance computation mode: `GeoDistance.SLOPPY_ARC` (default), `GeoDistance.ARC` (slightly more precise but
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significantly slower) or `GeoDistance.PLANE` (faster, but inaccurate on long distances and close to the poles)
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@ -1,26 +0,0 @@
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[[java-query-dsl-geo-distance-range-query]]
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==== Geo Distance Range Query
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See {ref}/query-dsl-geo-distance-range-query.html[Geo Distance Range Query]
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[source,java]
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--------------------------------------------------
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QueryBuilder qb = geoDistanceRangeQuery("pin.location", <1>
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new GeoPoint(40, -70)) <2>
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.from("200km") <3>
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.to("400km") <4>
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.includeLower(true) <5>
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.includeUpper(false) <6>
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.optimizeBbox("memory") <7>
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.geoDistance(GeoDistance.ARC); <8>
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--------------------------------------------------
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<1> field
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<2> center point
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<3> starting distance from center point
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<4> ending distance from center point
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<5> include lower value means that `from` is `gt` when `false` or `gte` when `true`
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<6> include upper value means that `to` is `lt` when `false` or `lte` when `true`
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<7> optimize bounding box: `memory`, `indexed` or `none`
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<8> distance computation mode: `GeoDistance.SLOPPY_ARC` (default), `GeoDistance.ARC` (slightly more precise but
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significantly slower) or `GeoDistance.PLANE` (faster, but inaccurate on long distances and close to the poles)
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@ -5,7 +5,7 @@ See {ref}/query-dsl-geo-polygon-query.html[Geo Polygon Query]
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[source,java]
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--------------------------------------------------
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List<GeoPoint> points = new ArrayList<GeoPoint>(); <1>
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List<GeoPoint> points = new ArrayList<>(); <1>
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points.add(new GeoPoint(40, -70));
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points.add(new GeoPoint(30, -80));
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points.add(new GeoPoint(20, -90));
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@ -36,6 +36,4 @@ include::geo-bounding-box-query.asciidoc[]
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include::geo-distance-query.asciidoc[]
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include::geo-distance-range-query.asciidoc[]
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include::geo-polygon-query.asciidoc[]
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@ -39,31 +39,32 @@ import org.elasticsearch.common.geo.builders.ShapeBuilder;
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[source,java]
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--------------------------------------------------
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GeoShapeQueryBuilder qb = geoShapeQuery(
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"pin.location", <1>
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ShapeBuilder.newMultiPoint() <2>
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.point(0, 0)
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.point(0, 10)
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.point(10, 10)
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.point(10, 0)
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.point(0, 0));
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qb.relation(ShapeRelation.WITHIN); <3>
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List<Coordinate> points = new ArrayList<>();
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points.add(new Coordinate(0, 0));
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points.add(new Coordinate(0, 10));
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points.add(new Coordinate(10, 10));
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points.add(new Coordinate(10, 0));
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points.add(new Coordinate(0, 0));
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QueryBuilder qb = geoShapeQuery(
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"pin.location", <1>
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ShapeBuilders.newMultiPoint(points) <2>
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.relation(ShapeRelation.WITHIN); <3>
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--------------------------------------------------
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<1> field
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<2> shape
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<3> relation can be `ShapeRelation.WITHIN`, `ShapeRelation.INTERSECTS` or `ShapeRelation.DISJOINT`
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<3> relation can be `ShapeRelation.CONTAINS`, `ShapeRelation.WITHIN`, `ShapeRelation.INTERSECTS` or `ShapeRelation.DISJOINT`
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[source,java]
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--------------------------------------------------
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// Using pre-indexed shapes
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GeoShapeQueryBuilder qb = geoShapeQuery(
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"pin.location", <1>
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"DEU", <2>
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"countries"); <3>
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qb.relation(ShapeRelation.WITHIN)) <4>
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.indexedShapeIndex("shapes") <5>
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.indexedShapePath("location"); <6>
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QueryBuilder qb = geoShapeQuery(
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"pin.location", <1>
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"DEU", <2>
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"countries") <3>
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.relation(ShapeRelation.WITHIN)) <4>
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.indexedShapeIndex("shapes") <5>
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.indexedShapePath("location"); <6>
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--------------------------------------------------
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<1> field
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<2> The ID of the document that containing the pre-indexed shape.
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@ -7,9 +7,11 @@ See {ref}/query-dsl-has-child-query.html[Has Child Query]
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--------------------------------------------------
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QueryBuilder qb = hasChildQuery(
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"blog_tag", <1>
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termQuery("tag","something") <2>
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termQuery("tag","something"), <2>
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ScoreMode.Avg <3>
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);
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--------------------------------------------------
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<1> child type to query against
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<2> query
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<3> score mode can be `ScoreMode.Avg`, `ScoreMode.Max`, `ScoreMode.Min`, `ScoreMode.None` or `ScoreMode.Total`
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@ -7,8 +7,10 @@ See {ref}/query-dsl-has-parent-query.html[Has Parent]
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--------------------------------------------------
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QueryBuilder qb = hasParentQuery(
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"blog", <1>
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termQuery("tag","something") <2>
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termQuery("tag","something"), <2>
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false <3>
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);
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--------------------------------------------------
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<1> parent type to query against
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<2> query
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<3> whether the score from the parent hit should propogate to the child hit
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@ -9,10 +9,10 @@ QueryBuilder qb = nestedQuery(
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"obj1", <1>
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boolQuery() <2>
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.must(matchQuery("obj1.name", "blue"))
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.must(rangeQuery("obj1.count").gt(5))
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)
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.scoreMode(ScoreMode.Avg); <3>
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.must(rangeQuery("obj1.count").gt(5)),
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ScoreMode.Avg <3>
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);
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--------------------------------------------------
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<1> path to nested document
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<2> your query. Any fields referenced inside the query must use the complete path (fully qualified).
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<3> score mode could be `max`, `total`, `avg` (default) or `none`
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<3> score mode could be `ScoreMode.Max`, `ScoreMode.Min`, `ScoreMode.Total`, `ScoreMode.Avg` or `ScoreMode.None`
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@ -25,10 +25,10 @@ You can use it then with:
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--------------------------------------------------
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QueryBuilder qb = scriptQuery(
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new Script(
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"myscript", <1>
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ScriptType.FILE, <2>
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"painless", <3>
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ImmutableMap.of("param1", 5)) <4>
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"myscript", <1>
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ScriptType.FILE, <2>
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"painless", <3>
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Collections.singletonMap("param1", 5)) <4>
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);
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--------------------------------------------------
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<1> Script name
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@ -7,7 +7,7 @@ See {ref}/query-dsl-span-containing-query.html[Span Containing Query]
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--------------------------------------------------
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QueryBuilder qb = spanContainingQuery(
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spanNearQuery(spanTermQuery("field1","bar"), 5) <1>
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.clause(spanTermQuery("field1","baz"))
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.addClause(spanTermQuery("field1","baz"))
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.inOrder(true),
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spanTermQuery("field1","foo")); <2>
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--------------------------------------------------
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@ -8,13 +8,11 @@ See {ref}/query-dsl-span-near-query.html[Span Near Query]
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QueryBuilder qb = spanNearQuery(
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spanTermQuery("field","value1"), <1>
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12) <2>
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.clause(spanTermQuery("field","value2")) <1>
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.clause(spanTermQuery("field","value3")) <1>
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.inOrder(false) <3>
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.collectPayloads(false); <4>
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.addClause(spanTermQuery("field","value2")) <1>
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.addClause(spanTermQuery("field","value3")) <1>
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.inOrder(false); <3>
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--------------------------------------------------
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<1> span term queries
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<2> slop factor: the maximum number of intervening unmatched positions
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<3> whether matches are required to be in-order
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<4> collect payloads or not
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@ -6,9 +6,9 @@ See {ref}/query-dsl-span-or-query.html[Span Or Query]
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[source,java]
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--------------------------------------------------
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QueryBuilder qb = spanOrQuery(
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spanTermQuery("field","value1")) <1>
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.clause(spanTermQuery("field","value2")) <1>
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.clause(spanTermQuery("field","value3")); <1>
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spanTermQuery("field","value1")) <1>
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.addClause(spanTermQuery("field","value2")) <1>
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.addClause(spanTermQuery("field","value3")); <1>
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--------------------------------------------------
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<1> span term queries
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@ -7,7 +7,7 @@ See {ref}/query-dsl-span-within-query.html[Span Within Query]
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--------------------------------------------------
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QueryBuilder qb = spanWithinQuery(
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spanNearQuery(spanTermQuery("field1", "bar"), 5) <1>
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.clause(spanTermQuery("field1", "baz"))
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.addClause(spanTermQuery("field1", "baz"))
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.inOrder(true),
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spanTermQuery("field1", "foo")); <2>
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--------------------------------------------------
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@ -26,8 +26,6 @@ This query finds percolator queries based on documents.
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include::mlt-query.asciidoc[]
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include::template-query.asciidoc[]
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include::script-query.asciidoc[]
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include::percolate-query.asciidoc[]
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@ -1,89 +0,0 @@
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[[java-query-dsl-template-query]]
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==== Template Query
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See {ref}/search-template.html[Search Template] documentation
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In order to use the `template` query from the Java API
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the lang-mustache module dependency should be on the classpath and
|
||||
the transport client should be loaded with the lang-mustache plugin:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
TransportClient transportClient = TransportClient.builder()
|
||||
.settings(Settings.builder().put("node.name", "node"))
|
||||
.addPlugin(MustachePlugin.class)
|
||||
.build();
|
||||
transportClient.addTransportAddress(
|
||||
new InetSocketTransportAddress(new InetSocketAddress(InetAddresses.forString("127.0.0.1"), 9300))
|
||||
);
|
||||
--------------------------------------------------
|
||||
|
||||
Define your template parameters as a `Map<String,Object>`:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
Map<String, Object> template_params = new HashMap<>();
|
||||
template_params.put("param_gender", "male");
|
||||
--------------------------------------------------
|
||||
|
||||
You can use your stored search templates in `config/scripts`.
|
||||
For example, if you have a file named `config/scripts/template_gender.mustache` containing:
|
||||
|
||||
[source,js]
|
||||
--------------------------------------------------
|
||||
{
|
||||
"template" : {
|
||||
"query" : {
|
||||
"match" : {
|
||||
"gender" : "{{param_gender}}"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
--------------------------------------------------
|
||||
// NOTCONSOLE
|
||||
|
||||
Define your template query:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
QueryBuilder qb = new TemplateQueryBuilder(
|
||||
"gender_template", <1>
|
||||
ScriptService.ScriptType.FILE, <2>
|
||||
template_params); <3>
|
||||
--------------------------------------------------
|
||||
<1> template name
|
||||
<2> template stored on disk in `gender_template.mustache`
|
||||
<3> parameters
|
||||
|
||||
You can also store your template in the cluster state:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
client.admin().cluster().preparePutStoredScript()
|
||||
.setScriptLang("mustache")
|
||||
.setId("template_gender")
|
||||
.setSource(new BytesArray(
|
||||
"{\n" +
|
||||
" \"template\" : {\n" +
|
||||
" \"query\" : {\n" +
|
||||
" \"match\" : {\n" +
|
||||
" \"gender\" : \"{{param_gender}}\"\n" +
|
||||
" }\n" +
|
||||
" }\n" +
|
||||
" }\n" +
|
||||
"}")).get();
|
||||
--------------------------------------------------
|
||||
|
||||
To execute a stored templates, use `ScriptService.ScriptType.STORED`:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
QueryBuilder qb = new TemplateQueryBuilder(
|
||||
"gender_template", <1>
|
||||
ScriptType.STORED, <2>
|
||||
template_params); <3>
|
||||
--------------------------------------------------
|
||||
<1> template name
|
||||
<2> template stored in the cluster state
|
||||
<3> parameters
|
|
@ -21,8 +21,7 @@ SearchResponse response = client.prepareSearch("index1", "index2")
|
|||
.setQuery(QueryBuilders.termQuery("multi", "test")) // Query
|
||||
.setPostFilter(QueryBuilders.rangeQuery("age").from(12).to(18)) // Filter
|
||||
.setFrom(0).setSize(60).setExplain(true)
|
||||
.execute()
|
||||
.actionGet();
|
||||
.get();
|
||||
--------------------------------------------------
|
||||
|
||||
Note that all parameters are optional. Here is the smallest search call
|
||||
|
@ -31,7 +30,7 @@ you can write:
|
|||
[source,java]
|
||||
--------------------------------------------------
|
||||
// MatchAll on the whole cluster with all default options
|
||||
SearchResponse response = client.prepareSearch().execute().actionGet();
|
||||
SearchResponse response = client.prepareSearch().get();
|
||||
--------------------------------------------------
|
||||
|
||||
NOTE: Although the Java API defines the additional search types QUERY_AND_FETCH and
|
||||
|
@ -58,7 +57,7 @@ SearchResponse scrollResp = client.prepareSearch(test)
|
|||
.addSort(FieldSortBuilder.DOC_FIELD_NAME, SortOrder.ASC)
|
||||
.setScroll(new TimeValue(60000))
|
||||
.setQuery(qb)
|
||||
.setSize(100).execute().actionGet(); //max of 100 hits will be returned for each scroll
|
||||
.setSize(100).get(); //max of 100 hits will be returned for each scroll
|
||||
//Scroll until no hits are returned
|
||||
do {
|
||||
for (SearchHit hit : scrollResp.getHits().getHits()) {
|
||||
|
@ -85,7 +84,7 @@ SearchRequestBuilder srb2 = client
|
|||
MultiSearchResponse sr = client.prepareMultiSearch()
|
||||
.add(srb1)
|
||||
.add(srb2)
|
||||
.execute().actionGet();
|
||||
.get();
|
||||
|
||||
// You will get all individual responses from MultiSearchResponse#getResponses()
|
||||
long nbHits = 0;
|
||||
|
@ -113,7 +112,7 @@ SearchResponse sr = client.prepareSearch()
|
|||
.field("birth")
|
||||
.dateHistogramInterval(DateHistogramInterval.YEAR)
|
||||
)
|
||||
.execute().actionGet();
|
||||
.get();
|
||||
|
||||
// Get your facet results
|
||||
Terms agg1 = sr.getAggregations().get("agg1");
|
||||
|
@ -142,3 +141,115 @@ if (sr.isTerminatedEarly()) {
|
|||
}
|
||||
--------------------------------------------------
|
||||
<1> Finish after 1000 docs
|
||||
|
||||
[[java-search-template]]
|
||||
==== Search Template
|
||||
|
||||
See {ref}/search-template.html[Search Template] documentation
|
||||
|
||||
Define your template parameters as a `Map<String,Object>`:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
Map<String, Object> template_params = new HashMap<>();
|
||||
template_params.put("param_gender", "male");
|
||||
--------------------------------------------------
|
||||
|
||||
You can use your stored search templates in `config/scripts`.
|
||||
For example, if you have a file named `config/scripts/template_gender.mustache` containing:
|
||||
|
||||
[source,js]
|
||||
--------------------------------------------------
|
||||
{
|
||||
"template" : {
|
||||
"query" : {
|
||||
"match" : {
|
||||
"gender" : "{{param_gender}}"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
--------------------------------------------------
|
||||
// NOTCONSOLE
|
||||
|
||||
Create your search template request:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
SearchResponse sr = new SearchTemplateRequestBuilder(client)
|
||||
.setScript("template_gender") <1>
|
||||
.setScriptType(ScriptService.ScriptType.FILE) <2>
|
||||
.setScriptParams(template_params) <3>
|
||||
.setRequest(new SearchRequest()) <4>
|
||||
.get() <5>
|
||||
.getResponse(); <6>
|
||||
--------------------------------------------------
|
||||
<1> template name
|
||||
<2> template stored on disk in `gender_template.mustache`
|
||||
<3> parameters
|
||||
<4> set the execution context (ie. define the index name here)
|
||||
<5> execute and get the template response
|
||||
<6> get from the template response the search response itself
|
||||
|
||||
You can also store your template in the cluster state:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
client.admin().cluster().preparePutStoredScript()
|
||||
.setScriptLang("mustache")
|
||||
.setId("template_gender")
|
||||
.setSource(new BytesArray(
|
||||
"{\n" +
|
||||
" \"template\" : {\n" +
|
||||
" \"query\" : {\n" +
|
||||
" \"match\" : {\n" +
|
||||
" \"gender\" : \"{{param_gender}}\"\n" +
|
||||
" }\n" +
|
||||
" }\n" +
|
||||
" }\n" +
|
||||
"}")).get();
|
||||
--------------------------------------------------
|
||||
|
||||
To execute a stored templates, use `ScriptService.ScriptType.STORED`:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
SearchResponse sr = new SearchTemplateRequestBuilder(client)
|
||||
.setScript("template_gender") <1>
|
||||
.setScriptType(ScriptService.ScriptType.STORED) <2>
|
||||
.setScriptParams(template_params) <3>
|
||||
.setRequest(new SearchRequest()) <4>
|
||||
.get() <5>
|
||||
.getResponse(); <6>
|
||||
--------------------------------------------------
|
||||
<1> template name
|
||||
<2> template stored in the cluster state
|
||||
<3> parameters
|
||||
<4> set the execution context (ie. define the index name here)
|
||||
<5> execute and get the template response
|
||||
<6> get from the template response the search response itself
|
||||
|
||||
You can also execute inline templates:
|
||||
|
||||
[source,java]
|
||||
--------------------------------------------------
|
||||
sr = new SearchTemplateRequestBuilder(client)
|
||||
.setScript("{\n" + <1>
|
||||
" \"query\" : {\n" +
|
||||
" \"match\" : {\n" +
|
||||
" \"gender\" : \"{{param_gender}}\"\n" +
|
||||
" }\n" +
|
||||
" }\n" +
|
||||
"}")
|
||||
.setScriptType(ScriptService.ScriptType.INLINE) <2>
|
||||
.setScriptParams(template_params) <3>
|
||||
.setRequest(new SearchRequest()) <4>
|
||||
.get() <5>
|
||||
.getResponse(); <6>
|
||||
--------------------------------------------------
|
||||
<1> template name
|
||||
<2> template is passed inline
|
||||
<3> parameters
|
||||
<4> set the execution context (ie. define the index name here)
|
||||
<5> execute and get the template response
|
||||
<6> get from the template response the search response itself
|
||||
|
|
Loading…
Reference in New Issue