Merge branch 'pr/10845'
This commit is contained in:
commit
04f6067c66
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@ -175,7 +175,8 @@ doing so would look like:
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"field_value_factor": {
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"field": "popularity",
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"factor": 1.2,
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"modifier": "sqrt"
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"modifier": "sqrt",
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"missing": 1
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}
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--------------------------------------------------
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@ -193,6 +194,8 @@ There are a number of options for the `field_value_factor` function:
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|`modifier` |Modifier to apply to the field value, can be one of: `none`, `log`,
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`log1p`, `log2p`, `ln`, `ln1p`, `ln2p`, `square`, `sqrt`, or `reciprocal`.
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Defaults to `none`.
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|`missing` |Value used if the document doesn't have that field. The modifier
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and factor are still applied to it as though it were read from the document.
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|=======================================================================
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Keep in mind that taking the log() of 0, or the square root of a negative number
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@ -36,14 +36,20 @@ public class FieldValueFactorFunction extends ScoreFunction {
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private final String field;
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private final float boostFactor;
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private final Modifier modifier;
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/**
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* Value used if the document is missing the field.
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*/
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private final Double missing;
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private final IndexNumericFieldData indexFieldData;
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public FieldValueFactorFunction(String field, float boostFactor, Modifier modifierType, IndexNumericFieldData indexFieldData) {
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public FieldValueFactorFunction(String field, float boostFactor, Modifier modifierType, Double missing,
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IndexNumericFieldData indexFieldData) {
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super(CombineFunction.MULT);
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this.field = field;
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this.boostFactor = boostFactor;
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this.modifier = modifierType;
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this.indexFieldData = indexFieldData;
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this.missing = missing;
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}
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@Override
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@ -55,26 +61,32 @@ public class FieldValueFactorFunction extends ScoreFunction {
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public double score(int docId, float subQueryScore) {
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values.setDocument(docId);
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final int numValues = values.count();
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double value;
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if (numValues > 0) {
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double val = values.valueAt(0) * boostFactor;
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double result = modifier.apply(val);
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if (Double.isNaN(result) || Double.isInfinite(result)) {
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throw new ElasticsearchException("Result of field modification [" + modifier.toString() +
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"(" + val + ")] must be a number");
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}
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return result;
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value = values.valueAt(0);
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} else if (missing != null) {
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value = missing;
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} else {
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throw new ElasticsearchException("Missing value for field [" + field + "]");
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}
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double val = value * boostFactor;
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double result = modifier.apply(val);
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if (Double.isNaN(result) || Double.isInfinite(result)) {
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throw new ElasticsearchException("Result of field modification [" + modifier.toString() + "(" + val
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+ ")] must be a number");
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}
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return result;
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}
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@Override
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public Explanation explainScore(int docId, Explanation subQueryScore) {
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String modifierStr = modifier != null ? modifier.toString() : "";
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String defaultStr = missing != null ? "?:" + missing : "";
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double score = score(docId, subQueryScore.getValue());
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return Explanation.match(
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CombineFunction.toFloat(score),
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"field value function: " + modifierStr + "(" + "doc['" + field + "'].value * factor=" + boostFactor + ")");
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String.format(Locale.ROOT,
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"field value function: %s(doc['%s'].value%s * factor=%s)", modifierStr, field, defaultStr, boostFactor));
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}
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};
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}
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@ -33,6 +33,7 @@ import java.util.Locale;
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public class FieldValueFactorFunctionBuilder extends ScoreFunctionBuilder {
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private String field = null;
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private Float factor = null;
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private Double missing = null;
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private FieldValueFactorFunction.Modifier modifier = null;
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public FieldValueFactorFunctionBuilder(String fieldName) {
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@ -49,6 +50,14 @@ public class FieldValueFactorFunctionBuilder extends ScoreFunctionBuilder {
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return this;
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}
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/**
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* Value used instead of the field value for documents that don't have that field defined.
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*/
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public FieldValueFactorFunctionBuilder missing(double missing) {
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this.missing = missing;
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return this;
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}
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public FieldValueFactorFunctionBuilder modifier(FieldValueFactorFunction.Modifier modifier) {
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this.modifier = modifier;
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return this;
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@ -65,6 +74,10 @@ public class FieldValueFactorFunctionBuilder extends ScoreFunctionBuilder {
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builder.field("factor", factor);
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}
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if (missing != null) {
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builder.field("missing", missing);
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}
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if (modifier != null) {
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builder.field("modifier", modifier.toString().toLowerCase(Locale.ROOT));
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}
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@ -41,7 +41,8 @@ import java.util.Locale;
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* "field_value_factor": {
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* "field": "myfield",
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* "factor": 1.5,
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* "modifier": "square"
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* "modifier": "square",
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* "missing": 1
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* }
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* }
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* </pre>
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@ -56,6 +57,7 @@ public class FieldValueFactorFunctionParser implements ScoreFunctionParser {
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String field = null;
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float boostFactor = 1;
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FieldValueFactorFunction.Modifier modifier = FieldValueFactorFunction.Modifier.NONE;
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Double missing = null;
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XContentParser.Token token;
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while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
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if (token == XContentParser.Token.FIELD_NAME) {
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@ -67,6 +69,8 @@ public class FieldValueFactorFunctionParser implements ScoreFunctionParser {
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boostFactor = parser.floatValue();
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} else if ("modifier".equals(currentFieldName)) {
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modifier = FieldValueFactorFunction.Modifier.valueOf(parser.text().toUpperCase(Locale.ROOT));
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} else if ("missing".equals(currentFieldName)) {
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missing = parser.doubleValue();
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} else {
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throw new QueryParsingException(parseContext.index(), NAMES[0] + " query does not support [" + currentFieldName + "]");
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}
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@ -84,7 +88,7 @@ public class FieldValueFactorFunctionParser implements ScoreFunctionParser {
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if (mapper == null) {
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throw new ElasticsearchException("Unable to find a field mapper for field [" + field + "]");
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}
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return new FieldValueFactorFunction(field, boostFactor, modifier,
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return new FieldValueFactorFunction(field, boostFactor, modifier, missing,
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(IndexNumericFieldData)searchContext.fieldData().getForField(mapper));
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}
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@ -88,6 +88,14 @@ public class FunctionScoreFieldValueTests extends ElasticsearchIntegrationTest {
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// We are expecting an exception, because 3 has no field
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}
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// doc 3 doesn't have a "test" field but we're defaulting it to 100 so it should be last
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response = client().prepareSearch("test")
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.setExplain(randomBoolean())
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.setQuery(functionScoreQuery(matchAllQuery(),
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fieldValueFactorFunction("test").modifier(FieldValueFactorFunction.Modifier.RECIPROCAL).missing(100)))
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.get();
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assertOrderedSearchHits(response, "1", "2", "3");
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// n divided by 0 is infinity, which should provoke an exception.
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try {
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response = client().prepareSearch("test")
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