use of org.elasticsearch.index.query.MoreLikeThisQueryBuilder in project elasticsearch by elastic.
the class MoreLikeThisIT method testSimpleMoreLikeThisIdsMultipleTypes.
public void testSimpleMoreLikeThisIdsMultipleTypes() throws Exception {
logger.info("Creating index test");
int numOfTypes = randomIntBetween(2, 10);
CreateIndexRequestBuilder createRequestBuilder = prepareCreate("test");
for (int i = 0; i < numOfTypes; i++) {
createRequestBuilder.addMapping("type" + i, jsonBuilder().startObject().startObject("type" + i).startObject("properties").startObject("text").field("type", "text").endObject().endObject().endObject().endObject());
}
assertAcked(createRequestBuilder);
logger.info("Running Cluster Health");
assertThat(ensureGreen(), equalTo(ClusterHealthStatus.GREEN));
logger.info("Indexing...");
List<IndexRequestBuilder> builders = new ArrayList<>(numOfTypes);
for (int i = 0; i < numOfTypes; i++) {
builders.add(client().prepareIndex("test", "type" + i).setSource("text", "lucene" + " " + i).setId(String.valueOf(i)));
}
indexRandom(true, builders);
logger.info("Running MoreLikeThis");
MoreLikeThisQueryBuilder queryBuilder = QueryBuilders.moreLikeThisQuery(new String[] { "text" }, null, new Item[] { new Item("test", "type0", "0") }).include(true).minTermFreq(1).minDocFreq(1);
String[] types = new String[numOfTypes];
for (int i = 0; i < numOfTypes; i++) {
types[i] = "type" + i;
}
SearchResponse mltResponse = client().prepareSearch().setTypes(types).setQuery(queryBuilder).execute().actionGet();
assertHitCount(mltResponse, numOfTypes);
}
use of org.elasticsearch.index.query.MoreLikeThisQueryBuilder in project elasticsearch by elastic.
the class MoreLikeThisIT method testMoreLikeThisIssue2197.
public void testMoreLikeThisIssue2197() throws Exception {
Client client = client();
String mapping = XContentFactory.jsonBuilder().startObject().startObject("bar").startObject("properties").endObject().endObject().endObject().string();
client().admin().indices().prepareCreate("foo").addMapping("bar", mapping, XContentType.JSON).execute().actionGet();
client().prepareIndex("foo", "bar", "1").setSource(jsonBuilder().startObject().startObject("foo").field("bar", "boz").endObject().endObject()).execute().actionGet();
client().admin().indices().prepareRefresh("foo").execute().actionGet();
assertThat(ensureGreen(), equalTo(ClusterHealthStatus.GREEN));
SearchResponse response = client().prepareSearch().setQuery(new MoreLikeThisQueryBuilder(null, new Item[] { new Item("foo", "bar", "1") })).get();
assertNoFailures(response);
assertThat(response, notNullValue());
response = client().prepareSearch().setQuery(new MoreLikeThisQueryBuilder(null, new Item[] { new Item("foo", "bar", "1") })).get();
assertNoFailures(response);
assertThat(response, notNullValue());
}
use of org.elasticsearch.index.query.MoreLikeThisQueryBuilder in project elasticsearch by elastic.
the class MoreLikeThisIT method testMoreLikeThisArtificialDocs.
public void testMoreLikeThisArtificialDocs() throws Exception {
int numFields = randomIntBetween(5, 10);
createIndex("test");
ensureGreen();
logger.info("Indexing a single document ...");
XContentBuilder doc = jsonBuilder().startObject();
for (int i = 0; i < numFields; i++) {
// make sure they are not all empty
doc.field("field" + i, generateRandomStringArray(5, 10, false) + "a");
}
doc.endObject();
indexRandom(true, client().prepareIndex("test", "type1", "0").setSource(doc));
logger.info("Checking the document matches ...");
MoreLikeThisQueryBuilder mltQuery = // routing to ensure we hit the shard with the doc
moreLikeThisQuery(new Item[] { new Item("test", "type1", doc).routing("0") }).minTermFreq(0).minDocFreq(0).maxQueryTerms(100).minimumShouldMatch(// strict all terms must match!
"100%");
SearchResponse response = client().prepareSearch("test").setTypes("type1").setQuery(mltQuery).get();
assertSearchResponse(response);
assertHitCount(response, 1);
}
use of org.elasticsearch.index.query.MoreLikeThisQueryBuilder in project elasticsearch by elastic.
the class MoreLikeThisIT method testMoreLikeThisUnlike.
public void testMoreLikeThisUnlike() throws ExecutionException, InterruptedException, IOException {
createIndex("test");
ensureGreen();
int numFields = randomIntBetween(5, 10);
logger.info("Create a document that has all the fields.");
XContentBuilder doc = jsonBuilder().startObject();
for (int i = 0; i < numFields; i++) {
doc.field("field" + i, i + "");
}
doc.endObject();
logger.info("Indexing each field value of this document as a single document.");
List<IndexRequestBuilder> builders = new ArrayList<>();
for (int i = 0; i < numFields; i++) {
builders.add(client().prepareIndex("test", "type1", i + "").setSource("field" + i, i + ""));
}
indexRandom(true, builders);
logger.info("First check the document matches all indexed docs.");
MoreLikeThisQueryBuilder mltQuery = moreLikeThisQuery(new Item[] { new Item("test", "type1", doc) }).minTermFreq(0).minDocFreq(0).maxQueryTerms(100).minimumShouldMatch("0%");
SearchResponse response = client().prepareSearch("test").setTypes("type1").setQuery(mltQuery).get();
assertSearchResponse(response);
assertHitCount(response, numFields);
logger.info("Now check like this doc, but ignore one doc in the index, then two and so on...");
List<Item> docs = new ArrayList<>(numFields);
for (int i = 0; i < numFields; i++) {
docs.add(new Item("test", "type1", i + ""));
mltQuery = moreLikeThisQuery(null, new Item[] { new Item("test", "type1", doc) }).unlike(docs.toArray(new Item[docs.size()])).minTermFreq(0).minDocFreq(0).maxQueryTerms(100).include(true).minimumShouldMatch("0%");
response = client().prepareSearch("test").setTypes("type1").setQuery(mltQuery).get();
assertSearchResponse(response);
assertHitCount(response, numFields - (i + 1));
}
}
use of org.elasticsearch.index.query.MoreLikeThisQueryBuilder in project elasticsearch by elastic.
the class MoreLikeThisIT method testSelectFields.
public void testSelectFields() throws IOException, ExecutionException, InterruptedException {
assertAcked(prepareCreate("test").addMapping("type1", "text", "type=text,analyzer=whitespace", "text1", "type=text,analyzer=whitespace"));
ensureGreen("test");
indexRandom(true, client().prepareIndex("test", "type1", "1").setSource(jsonBuilder().startObject().field("text", "hello world").field("text1", "elasticsearch").endObject()), client().prepareIndex("test", "type1", "2").setSource(jsonBuilder().startObject().field("text", "goodby moon").field("text1", "elasticsearch").endObject()));
MoreLikeThisQueryBuilder mltQuery = moreLikeThisQuery(new Item[] { new Item("test", "type1", "1") }).minTermFreq(0).minDocFreq(0).include(true).minimumShouldMatch("1%");
SearchResponse response = client().prepareSearch("test").setTypes("type1").setQuery(mltQuery).get();
assertSearchResponse(response);
assertHitCount(response, 2);
mltQuery = moreLikeThisQuery(new String[] { "text" }, null, new Item[] { new Item("test", "type1", "1") }).minTermFreq(0).minDocFreq(0).include(true).minimumShouldMatch("1%");
response = client().prepareSearch("test").setTypes("type1").setQuery(mltQuery).get();
assertSearchResponse(response);
assertHitCount(response, 1);
}
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