Text Search Index
Text Search indexes can be defined by using the @SpaceTextIndex
and @SpaceTextIndexs
annotations.
Lets assume we have a class called NewsArticle
that has a content
property that describes text we want to execute the text search queries
against:
import org.openspaces.textsearch.SpaceTextIndex;
import com.gigaspaces.annotation.pojo.SpaceClass;
import com.gigaspaces.annotation.pojo.SpaceId;
@SpaceClass
public class NewsArticle {
private UUID id;
private String content;
private Long articleNumber;
@SpaceId
public UUID getId() {
return id;
}
public void setId(UUID id) {
this.id = id;
}
@SpaceTextIndex
public String getContent() {
return content;
}
public void setContent(String content) {
this.content = content;
}
}
Here is a query that will trigger the usage of this index:
SQLQuery<NewsArticle> query = new SQLQuery<NewsArticle>(NewsArticle.class, "content text:match ?");
query.setParameter(1, "deployment");
See Full Text Search for more information on how text search queries work.
Nested Index
An index can be defined on a nested property to improve performance of nested queries. Nested properties indexing uses an additional attribute - path()
.
This attribute represents the path of the property within the nested object.
In the example below, the author
is a property of type Person
which is a property of NewsArticle
:
import java.util.UUID;
import org.openspaces.textsearch.SpaceTextIndex;
import org.openspaces.textsearch.SpaceTextIndexes;
import com.gigaspaces.annotation.pojo.SpaceClass;
import com.gigaspaces.annotation.pojo.SpaceId;
@SpaceClass
public class NewsArticle {
private UUID id;
private String content;
private Person author;
private Long articleNumber;
@SpaceTextIndex
public String getContent() {
return content;
}
@SpaceTextIndexes({ @SpaceTextIndex(path = "firstName"), @SpaceTextIndex(path = "lastName") })
public Person getAuthor() {
return author;
}
public void setAuthor(Person author) {
this.author = author;
}
public void setContent(String content) {
this.content = content;
}
@SpaceId
public UUID getId() {
return id;
}
public void setId(UUID id) {
this.id = id;
}
}
The following is an example of a query that triggers this index:
SQLQuery<NewsArticle> query = new SQLQuery<NewsArticle>(NewsArticle.class, "author.firstName text:match ? AND author.lastName text:match ?");
query.setParameter(1, "Friedrich");
query.setParameter(2, "Durrenmatt");
Combining Text and Standard Predicates
Suppose our NewsArticle
class contains a articleNumber property as well, and we want to enhance our query and find the NewsArticle with a articleNumber. We can simply add the relevant predicate to the query's criteria:
SQLQuery<NewsArticle> query = new SQLQuery<NewsArticle>(NewsArticle.class, "content text:match ? AND articleNumber < ?");
query.setParameter(1, "deployment");
query.setParameter(2, new Long(1000));
You should make an effort to choose the optimal index. For example, If both content
and articleNumber
are indexed, the index which appears first in the query is the one that will be used. This may significantly effect the performance of your query, so it's recommended to estimate which index is most efficient for each query and put it first.
Space Document
The text search is also supported with Space Documents. Lets take the above example of the NewsArticle
and use it as a SpaceDocument
:
DocumentProperties author = new DocumentProperties();
author.put("firstName", "Friedrich");
author.put("lastName", "Durrenmatt");
SpaceDocument doc = new SpaceDocument("NewsArticle")
.setProperty("id", 1)
.setProperty("content", "The quick brown fox jumps over the lazy dog")
.setProperty("author", author);
// ...
Defining the TypeDescriptor and registering with the Space Where GigaSpaces data is stored. It is the logical cache that holds data objects in memory and might also hold them in layered in tiering. Data is hosted from multiple SoRs, consolidated as a unified data model. is done with the addQueryExtensionInfo
method:
GigaSpace gigaSpace = new GigaSpaceConfigurer(new EmbeddedSpaceConfigurer("xapSpace")).gigaSpace();
// With Index
gigaSpace.getTypeManager().registerTypeDescriptor(new SpaceTypeDescriptorBuilder(typeName).idProperty("id")
.addQueryExtensionInfo("content", LuceneTextSearchQueryExtensionProvider.index()).create());
// Nested Index
gigaSpace.getTypeManager().registerTypeDescriptor(new SpaceTypeDescriptorBuilder(typeName).idProperty("id")
.addQueryExtensionInfo("author.firstName", LuceneTextSearchQueryExtensionProvider.index())
.addQueryExtensionInfo("author.lastName", LuceneTextSearchQueryExtensionProvider.index())
.create());
The following is an example of a query that triggers this index:
SQLQuery<SpaceDocument> query = new SQLQuery("NewsArticle", "author.firstName text:match ? AND author.lastName text:match ?")
query.setParameter(1, "Frierich");
query.setParameter(2, "Durrnmatt");
SpaceDocument result = this.gigaSpace.read(query);
For more information, see the Space Document page.