diff --git a/docs/reference/mapping/types/sparse-vector.asciidoc b/docs/reference/mapping/types/sparse-vector.asciidoc
index 340786f3d986d..9f7e3963464a3 100644
--- a/docs/reference/mapping/types/sparse-vector.asciidoc
+++ b/docs/reference/mapping/types/sparse-vector.asciidoc
@@ -6,6 +6,7 @@
Sparse vector
++++
+deprecated[7.6, The `sparse_vector` type is deprecated and will be removed in 8.0.]
experimental[]
A `sparse_vector` field stores sparse vectors of float values.
@@ -38,7 +39,11 @@ PUT my_index
}
}
}
+--------------------------------------------------
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
+[source,console]
+--------------------------------------------------
PUT my_index/_doc/1
{
"my_text" : "text1",
@@ -50,8 +55,8 @@ PUT my_index/_doc/2
"my_text" : "text2",
"my_vector" : {"103": 0.5, "4": -0.5, "5": 1, "11" : 1.2}
}
-
--------------------------------------------------
+// TEST[continued]
Internally, each document's sparse vector is encoded as a binary
doc value. Its size in bytes is equal to
diff --git a/docs/reference/vectors/vector-functions.asciidoc b/docs/reference/vectors/vector-functions.asciidoc
index 1a4876096b0c2..4a23703b7ae6c 100644
--- a/docs/reference/vectors/vector-functions.asciidoc
+++ b/docs/reference/vectors/vector-functions.asciidoc
@@ -5,16 +5,14 @@
experimental[]
-These functions are used for
-for <> and
-<> fields.
-
NOTE: During vector functions' calculation, all matched documents are
-linearly scanned. Thus, expect the query time grow linearly
+linearly scanned. Thus, expect the query time grow linearly
with the number of matched documents. For this reason, we recommend
to limit the number of matched documents with a `query` parameter.
-Let's create an index with the following mapping and index a couple
+====== `dense_vector` functions
+
+Let's create an index with a `dense_vector` mapping and index a couple
of documents into it.
[source,console]
@@ -27,9 +25,6 @@ PUT my_index
"type": "dense_vector",
"dims": 3
},
- "my_sparse_vector" : {
- "type" : "sparse_vector"
- },
"status" : {
"type" : "keyword"
}
@@ -40,21 +35,21 @@ PUT my_index
PUT my_index/_doc/1
{
"my_dense_vector": [0.5, 10, 6],
- "my_sparse_vector": {"2": 1.5, "15" : 2, "50": -1.1, "4545": 1.1},
"status" : "published"
}
PUT my_index/_doc/2
{
"my_dense_vector": [-0.5, 10, 10],
- "my_sparse_vector": {"2": 2.5, "10" : 1.3, "55": -2.3, "113": 1.6},
"status" : "published"
}
+POST my_index/_refresh
+
--------------------------------------------------
// TESTSETUP
-For dense_vector fields, `cosineSimilarity` calculates the measure of
+The `cosineSimilarity` function calculates the measure of
cosine similarity between a given query vector and document vectors.
[source,console]
@@ -90,8 +85,8 @@ GET my_index/_search
NOTE: If a document's dense vector field has a number of dimensions
different from the query's vector, an error will be thrown.
-Similarly, for sparse_vector fields, `cosineSimilaritySparse` calculates cosine similarity
-between a given query vector and document vectors.
+The `dotProduct` function calculates the measure of
+dot product between a given query vector and document vectors.
[source,console]
--------------------------------------------------
@@ -109,9 +104,12 @@ GET my_index/_search
}
},
"script": {
- "source": "cosineSimilaritySparse(params.query_vector, doc['my_sparse_vector']) + 1.0",
+ "source": """
+ double value = dotProduct(params.query_vector, doc['my_dense_vector']);
+ return sigmoid(1, Math.E, -value); <1>
+ """,
"params": {
- "query_vector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
+ "query_vector": [4, 3.4, -0.2]
}
}
}
@@ -119,8 +117,11 @@ GET my_index/_search
}
--------------------------------------------------
-For dense_vector fields, `dotProduct` calculates the measure of
-dot product between a given query vector and document vectors.
+<1> Using the standard sigmoid function prevents scores from being negative.
+
+The `l1norm` function calculates L^1^ distance
+(Manhattan distance) between a given query vector and
+document vectors.
[source,console]
--------------------------------------------------
@@ -138,12 +139,9 @@ GET my_index/_search
}
},
"script": {
- "source": """
- double value = dotProduct(params.query_vector, doc['my_dense_vector']);
- return sigmoid(1, Math.E, -value); <1>
- """,
+ "source": "1 / (1 + l1norm(params.queryVector, doc['my_dense_vector']))", <1>
"params": {
- "query_vector": [4, 3.4, -0.2]
+ "queryVector": [4, 3.4, -0.2]
}
}
}
@@ -151,10 +149,18 @@ GET my_index/_search
}
--------------------------------------------------
-<1> Using the standard sigmoid function prevents scores from being negative.
+<1> Unlike `cosineSimilarity` that represent similarity, `l1norm` and
+`l2norm` shown below represent distances or differences. This means, that
+the more similar the vectors are, the lower the scores will be that are
+produced by the `l1norm` and `l2norm` functions.
+Thus, as we need more similar vectors to score higher,
+we reversed the output from `l1norm` and `l2norm`. Also, to avoid
+division by 0 when a document vector matches the query exactly,
+we added `1` in the denominator.
-Similarly, for sparse_vector fields, `dotProductSparse` calculates dot product
-between a given query vector and document vectors.
+The `l2norm` function calculates L^2^ distance
+(Euclidean distance) between a given query vector and
+document vectors.
[source,console]
--------------------------------------------------
@@ -172,12 +178,9 @@ GET my_index/_search
}
},
"script": {
- "source": """
- double value = dotProductSparse(params.query_vector, doc['my_sparse_vector']);
- return sigmoid(1, Math.E, -value);
- """,
- "params": {
- "query_vector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
+ "source": "1 / (1 + l2norm(params.queryVector, doc['my_dense_vector']))",
+ "params": {
+ "queryVector": [4, 3.4, -0.2]
}
}
}
@@ -185,13 +188,67 @@ GET my_index/_search
}
--------------------------------------------------
-For dense_vector fields, `l1norm` calculates L^1^ distance
-(Manhattan distance) between a given query vector and
-document vectors.
+NOTE: If a document doesn't have a value for a vector field on which
+a vector function is executed, an error will be thrown.
+
+You can check if a document has a value for the field `my_vector` by
+`doc['my_vector'].size() == 0`. Your overall script can look like this:
+
+[source,js]
+--------------------------------------------------
+"source": "doc['my_vector'].size() == 0 ? 0 : cosineSimilarity(params.queryVector, doc['my_vector'])"
+--------------------------------------------------
+// NOTCONSOLE
+
+====== `sparse_vector` functions
+
+deprecated[7.6, The `sparse_vector` type is deprecated and will be removed in 8.0.]
+
+Let's create an index with a `sparse_vector` mapping and index a couple
+of documents into it.
[source,console]
--------------------------------------------------
-GET my_index/_search
+PUT my_sparse_index
+{
+ "mappings": {
+ "properties": {
+ "my_sparse_vector": {
+ "type": "sparse_vector"
+ },
+ "status" : {
+ "type" : "keyword"
+ }
+ }
+ }
+}
+--------------------------------------------------
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
+
+[source,console]
+--------------------------------------------------
+PUT my_sparse_index/_doc/1
+{
+ "my_sparse_vector": {"2": 1.5, "15" : 2, "50": -1.1, "4545": 1.1},
+ "status" : "published"
+}
+
+PUT my_sparse_index/_doc/2
+{
+ "my_sparse_vector": {"2": 2.5, "10" : 1.3, "55": -2.3, "113": 1.6},
+ "status" : "published"
+}
+
+POST my_sparse_index/_refresh
+--------------------------------------------------
+// TEST[continued]
+
+The `cosineSimilaritySparse` function calculates cosine similarity
+between a given query vector and document vectors.
+
+[source,console]
+--------------------------------------------------
+GET my_sparse_index/_search
{
"query": {
"script_score": {
@@ -205,31 +262,24 @@ GET my_index/_search
}
},
"script": {
- "source": "1 / (1 + l1norm(params.queryVector, doc['my_dense_vector']))", <1>
+ "source": "cosineSimilaritySparse(params.query_vector, doc['my_sparse_vector']) + 1.0",
"params": {
- "queryVector": [4, 3.4, -0.2]
+ "query_vector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
}
}
}
}
}
--------------------------------------------------
+// TEST[continued]
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
-<1> Unlike `cosineSimilarity` that represent similarity, `l1norm` and
-`l2norm` shown below represent distances or differences. This means, that
-the more similar the vectors are, the lower the scores will be that are
-produced by the `l1norm` and `l2norm` functions.
-Thus, as we need more similar vectors to score higher,
-we reversed the output from `l1norm` and `l2norm`. Also, to avoid
-division by 0 when a document vector matches the query exactly,
-we added `1` in the denominator.
-
-For sparse_vector fields, `l1normSparse` calculates L^1^ distance
+The `dotProductSparse` function calculates dot product
between a given query vector and document vectors.
[source,console]
--------------------------------------------------
-GET my_index/_search
+GET my_sparse_index/_search
{
"query": {
"script_score": {
@@ -243,23 +293,27 @@ GET my_index/_search
}
},
"script": {
- "source": "1 / (1 + l1normSparse(params.queryVector, doc['my_sparse_vector']))",
- "params": {
- "queryVector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
+ "source": """
+ double value = dotProductSparse(params.query_vector, doc['my_sparse_vector']);
+ return sigmoid(1, Math.E, -value);
+ """,
+ "params": {
+ "query_vector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
}
}
}
}
}
--------------------------------------------------
+// TEST[continued]
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
-For dense_vector fields, `l2norm` calculates L^2^ distance
-(Euclidean distance) between a given query vector and
-document vectors.
+The `l1normSparse` function calculates L^1^ distance
+between a given query vector and document vectors.
[source,console]
--------------------------------------------------
-GET my_index/_search
+GET my_sparse_index/_search
{
"query": {
"script_score": {
@@ -273,22 +327,24 @@ GET my_index/_search
}
},
"script": {
- "source": "1 / (1 + l2norm(params.queryVector, doc['my_dense_vector']))",
+ "source": "1 / (1 + l1normSparse(params.queryVector, doc['my_sparse_vector']))",
"params": {
- "queryVector": [4, 3.4, -0.2]
+ "queryVector": {"2": 0.5, "10" : 111.3, "50": -1.3, "113": 14.8, "4545": 156.0}
}
}
}
}
}
--------------------------------------------------
+// TEST[continued]
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
-Similarly, for sparse_vector fields, `l2normSparse` calculates L^2^ distance
+The `l2normSparse` function calculates L^2^ distance
between a given query vector and document vectors.
[source,console]
--------------------------------------------------
-GET my_index/_search
+GET my_sparse_index/_search
{
"query": {
"script_score": {
@@ -311,15 +367,5 @@ GET my_index/_search
}
}
--------------------------------------------------
-
-NOTE: If a document doesn't have a value for a vector field on which
-a vector function is executed, an error will be thrown.
-
-You can check if a document has a value for the field `my_vector` by
-`doc['my_vector'].size() == 0`. Your overall script can look like this:
-
-[source,js]
---------------------------------------------------
-"source": "doc['my_vector'].size() == 0 ? 0 : cosineSimilarity(params.queryVector, doc['my_vector'])"
---------------------------------------------------
-// NOTCONSOLE
+// TEST[continued]
+// TEST[warning:The [sparse_vector] field type is deprecated and will be removed in 8.0.]
diff --git a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/30_sparse_vector_basic.yml b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/30_sparse_vector_basic.yml
index b031a0e2b618b..e184fd0ce9333 100644
--- a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/30_sparse_vector_basic.yml
+++ b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/30_sparse_vector_basic.yml
@@ -1,10 +1,12 @@
setup:
- skip:
- features: headers
+ features: [headers, warnings]
version: " - 7.2.99"
reason: "sparse_vector functions were introduced in 7.3.0"
- do:
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
indices.create:
include_type_name: false
index: test-index
@@ -44,6 +46,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -74,6 +78,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
diff --git a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/35_sparse_vector_l1l2.yml b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/35_sparse_vector_l1l2.yml
index 3e24c8c211a69..3a6ed9fd561e9 100644
--- a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/35_sparse_vector_l1l2.yml
+++ b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/35_sparse_vector_l1l2.yml
@@ -1,10 +1,12 @@
setup:
- skip:
- features: headers
+ features: [headers, warnings]
version: " - 7.3.99"
reason: "l1norm and l2norm functions were added from 7.4"
- do:
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
indices.create:
include_type_name: false
index: test-index
@@ -44,6 +46,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -75,6 +79,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
diff --git a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/40_sparse_vector_special_cases.yml b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/40_sparse_vector_special_cases.yml
index 396d144aecee5..90a28eeb1eeae 100644
--- a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/40_sparse_vector_special_cases.yml
+++ b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/40_sparse_vector_special_cases.yml
@@ -1,10 +1,12 @@
setup:
- skip:
- features: headers
+ features: [headers, warnings]
version: " - 7.3.99"
reason: "sparse_vector functions check on empty values was added from 7.4"
- do:
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
indices.create:
include_type_name: false
index: test-index
@@ -50,6 +52,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -70,6 +74,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -96,6 +102,8 @@ setup:
my_sparse_vector: {"1": 10}
- do:
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
index:
index: test-index
id: 2
@@ -110,6 +118,8 @@ setup:
catch: bad_request
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -126,6 +136,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -173,6 +185,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -250,6 +264,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -279,6 +295,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -307,6 +325,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
@@ -332,6 +352,8 @@ setup:
- do:
headers:
Content-Type: application/json
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
search:
rest_total_hits_as_int: true
body:
diff --git a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/50_vector_stats.yml b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/50_vector_stats.yml
index abfc05670cff5..b81ee9c5c193d 100644
--- a/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/50_vector_stats.yml
+++ b/x-pack/plugin/src/test/resources/rest-api-spec/test/vectors/50_vector_stats.yml
@@ -1,6 +1,6 @@
setup:
- skip:
- features: headers
+ features: [headers, warnings]
version: " - 7.3.99"
reason: "vector stats was added from 7.4"
@@ -27,6 +27,8 @@ setup:
dims: 30
- do:
+ warnings:
+ - The [sparse_vector] field type is deprecated and will be removed in 8.0.
indices.create:
index: test-index2
body:
diff --git a/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapper.java b/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapper.java
index 38ea21922f44f..0b4abff4bb30a 100644
--- a/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapper.java
+++ b/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapper.java
@@ -7,6 +7,7 @@
package org.elasticsearch.xpack.vectors.mapper;
+import org.apache.logging.log4j.LogManager;
import org.apache.lucene.document.BinaryDocValuesField;
import org.apache.lucene.index.IndexOptions;
import org.apache.lucene.index.IndexableField;
@@ -14,6 +15,7 @@
import org.apache.lucene.search.Query;
import org.apache.lucene.util.ArrayUtil;
import org.apache.lucene.util.BytesRef;
+import org.elasticsearch.common.logging.DeprecationLogger;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentParser.Token;
import org.elasticsearch.index.fielddata.IndexFieldData;
@@ -23,8 +25,8 @@
import org.elasticsearch.index.mapper.MapperParsingException;
import org.elasticsearch.index.mapper.ParseContext;
import org.elasticsearch.index.query.QueryShardContext;
-import org.elasticsearch.xpack.vectors.query.VectorDVIndexFieldData;
import org.elasticsearch.search.DocValueFormat;
+import org.elasticsearch.xpack.vectors.query.VectorDVIndexFieldData;
import java.io.IOException;
import java.time.ZoneId;
@@ -42,6 +44,9 @@ public class SparseVectorFieldMapper extends FieldMapper {
public static short MAX_DIMS_COUNT = 1024; //maximum allowed number of dimensions
public static int MAX_DIMS_NUMBER = 65535; //maximum allowed dimension's number
+ private static final DeprecationLogger deprecationLogger = new DeprecationLogger(LogManager.getLogger(SparseVectorFieldMapper.class));
+ public static final String DEPRECATION_MESSAGE = "The [sparse_vector] field type is deprecated and will be removed in 8.0.";
+
public static class Defaults {
public static final MappedFieldType FIELD_TYPE = new SparseVectorFieldType();
@@ -78,6 +83,7 @@ public SparseVectorFieldMapper build(BuilderContext context) {
public static class TypeParser implements Mapper.TypeParser {
@Override
public Mapper.Builder parse(String name, Map node, ParserContext parserContext) throws MapperParsingException {
+ deprecationLogger.deprecatedAndMaybeLog("sparse_vector", DEPRECATION_MESSAGE);
SparseVectorFieldMapper.Builder builder = new SparseVectorFieldMapper.Builder(name);
return builder;
}
diff --git a/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtils.java b/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtils.java
index f286ab7328556..91f2fc343b113 100644
--- a/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtils.java
+++ b/x-pack/plugin/vectors/src/main/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtils.java
@@ -7,9 +7,12 @@
package org.elasticsearch.xpack.vectors.query;
+import org.apache.logging.log4j.LogManager;
import org.apache.lucene.util.BytesRef;
import org.elasticsearch.Version;
+import org.elasticsearch.common.logging.DeprecationLogger;
import org.elasticsearch.script.ScoreScript;
+import org.elasticsearch.xpack.vectors.mapper.SparseVectorFieldMapper;
import org.elasticsearch.xpack.vectors.mapper.VectorEncoderDecoder;
import java.nio.ByteBuffer;
@@ -173,6 +176,8 @@ public double cosineSimilarity(VectorScriptDocValues.DenseVectorScriptDocValues
// per script execution for all documents.
public static class SparseVectorFunction {
+ static final DeprecationLogger deprecationLogger = new DeprecationLogger(LogManager.getLogger(SparseVectorFunction.class));
+
final ScoreScript scoreScript;
final float[] queryValues;
final int[] queryDims;
@@ -197,6 +202,8 @@ public SparseVectorFunction(ScoreScript scoreScript, Map queryVe
}
// Sort dimensions in the ascending order and sort values in the same order as their corresponding dimensions
sortSparseDimsFloatValues(queryDims, queryValues, n);
+
+ deprecationLogger.deprecatedAndMaybeLog("sparse_vector_function", SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void validateDocVector(BytesRef vector) {
diff --git a/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapperTests.java b/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapperTests.java
index a4ac222eaf134..15a68eb0aab7f 100644
--- a/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapperTests.java
+++ b/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/mapper/SparseVectorFieldMapperTests.java
@@ -115,6 +115,8 @@ public void testDefaults() throws Exception {
);
float decodedMagnitude = VectorEncoderDecoder.decodeVectorMagnitude(indexVersion, vectorBR);
assertEquals(expectedMagnitude, decodedMagnitude, 0.001f);
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void testAddDocumentsToIndexBefore_V_7_5_0() throws Exception {
@@ -168,6 +170,8 @@ public void testAddDocumentsToIndexBefore_V_7_5_0() throws Exception {
decodedValues,
0.001f
);
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void testDimensionNumberValidation() {
@@ -230,6 +234,8 @@ public void testDimensionNumberValidation() {
assertThat(e.getCause(), instanceOf(IllegalArgumentException.class));
assertThat(e.getCause().getMessage(), containsString(
"takes an object that maps a dimension number to a float, but got unexpected token [START_ARRAY]"));
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void testDimensionLimit() throws IOException {
@@ -254,6 +260,8 @@ public void testDimensionLimit() throws IOException {
MapperParsingException e = expectThrows(MapperParsingException.class, () -> mapper.parse(
new SourceToParse("test-index", "1", invalidDoc, XContentType.JSON)));
assertThat(e.getDetailedMessage(), containsString("has exceeded the maximum allowed number of dimensions"));
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
}
diff --git a/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtilsTests.java b/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtilsTests.java
index 343db845e6e3b..bff87a5ac472c 100644
--- a/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtilsTests.java
+++ b/x-pack/plugin/vectors/src/test/java/org/elasticsearch/xpack/vectors/query/ScoreScriptUtilsTests.java
@@ -10,6 +10,7 @@
import org.elasticsearch.Version;
import org.elasticsearch.script.ScoreScript;
import org.elasticsearch.test.ESTestCase;
+import org.elasticsearch.xpack.vectors.mapper.SparseVectorFieldMapper;
import org.elasticsearch.xpack.vectors.mapper.VectorEncoderDecoder;
import org.elasticsearch.xpack.vectors.query.ScoreScriptUtils.CosineSimilarity;
import org.elasticsearch.xpack.vectors.query.ScoreScriptUtils.CosineSimilaritySparse;
@@ -132,6 +133,8 @@ private void testSparseVectorFunctions(Version indexVersion) {
L2NormSparse l2Norm = new L2NormSparse(scoreScript, queryVector);
double result4 = l2Norm.l2normSparse(dvs);
assertEquals("l2normSparse result is not equal to the expected value!", 301.361, result4, 0.001);
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void testSparseVectorMissingDimensions1() {
@@ -172,6 +175,8 @@ public void testSparseVectorMissingDimensions1() {
L2NormSparse l2Norm = new L2NormSparse(scoreScript, queryVector);
double result4 = l2Norm.l2normSparse(dvs);
assertEquals("l2normSparse result is not equal to the expected value!", 302.277, result4, 0.001);
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
public void testSparseVectorMissingDimensions2() {
@@ -212,5 +217,7 @@ public void testSparseVectorMissingDimensions2() {
L2NormSparse l2Norm = new L2NormSparse(scoreScript, queryVector);
double result4 = l2Norm.l2normSparse(dvs);
assertEquals("l2normSparse result is not equal to the expected value!", 302.277, result4, 0.001);
+
+ assertWarnings(SparseVectorFieldMapper.DEPRECATION_MESSAGE);
}
}