These are being reworked to use other indexes or otherwise modified to remove the dependency on this index.įor example, reference lookup queries, such as in the following example, should now use the index at /oak:index/pathreference, which indexes only String property values which match a regular expression that looks for JCR paths. In recent AEM versions, the generic Lucene index has been used to support a very small number of features. Please change the query or the index definitions. Since then, a WARN has been logged when the index has been used as illustrated by the following log snippet. This index is deprecated: /oak:index/lucene-2 it is used for query Filter(query=select, , * from as a where contains(*, 'search term') and isdescendantnode(a, '/content/mysite') /* xpath: /jcr:root/content/mysite//* */ fullText="search" "term", path=/content/mysite//*). In AEM 6.5 the generic Lucene index was marked as deprecated, indicating that it would be removed in future versions. However this index has largely been superseded by indexes on more specific node types (for example damAssetLucene-* for the dam:Asset node type), which support both full text and property searches. The generic Lucene index ( /oak:index/lucene-*) has existed since AEM 6.0 / Oak 1.0 in order to provide a full text search across most of the repository hierarchy, although some paths, such as /jcr:system and /var have always been excluded from this. Unlike a query containing only path or property restrictions, a query containing a full text restriction for which no index can be found (and thus a traversal is performed) will always return zero results. Such queries cannot return results without using an index. In AEM, full text queries are those using the following functions: It also contains ways to change queries so they continue to function without the generic Lucene index. In this document the impact of this decision is described, along with detailed descriptions how to examine if an AEM instance is affected. This index has been deprecated since AEM 6.5. Part3.Adobe intends to remove the “generic Lucene” index ( /oak:index/lucene-*) from Adobe Experience Manager as a Cloud Service. Filtering, Stemming, Suggestion, Analyzers, Boosting and Similarity. create(map), session) tStart(0) tHitsPerPage(20) SearchResult result = query.getResult() // paging metadata int hitsPerPage = result.getHits().size() long totalMatches = result.getTotalMatches() long offset = result.getStartIndex() long numberOfPages = totalMatches / 20 QueryBuilder queryBuilder - String fulltextSearchTerm = "Geometrixx" Map map = new HashMap() map.put("path", "/content") map.put("type", "cq:Page") map.put("group.p.and", "true") // combine this group with OR map.put("group.1_fulltext", fulltextSearchTerm) // can be done in map or with Query methods map.put("p.offset", "0") // same as tStart(0) below map.put("p.limit", "20") // same as tHitsPerPage(20) Query query = builder.createQuery(PredicateGroup. Inject the QueryBuilder API in your service > Create Predicate Map > Get the Hits. Offset and Limit vairables are to be used for pagination. fulltext= p.offset=0 p.limit=10 orderby= orderby.sort=desc Path= type=cq:Page group.p.and=true group.1_group. We are going to implement a full-text search, below is a sample query can be modified as per requirement. If you are new to JCR-SQL2 or Query Builder queries, go to query debugger and try Query Builder Cheat Sheet it’s awesome. Now let’s use what we have to get what we need. Update and Delete operations in the repository are followed by the Lucene reindexing. Oak internally uses Apache Lucene to index repository content. Adobe Experience Manager comes with built-in functionality to provide clients search solutions without additional overheads for search solutions like SOLR, Adobe Search and Promote, ElasticSearch, etc.
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