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Aem full text search

By | 13.07.2020

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aem full text search

Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I want to search for a exact combination of words in all nodes in the aem using query builder. Query in service is done by using QueryBuilder. QueryBuilder is useful when you try to perform a query similar to SQL where you search against a property and its value.

The full text search capabilities of the query debug interface is very limited as you have experienced. AEM support for native solr queries is a bit patchy. You might need to edit the SOLR schema xml file manually created under the crx-quickstart folder to add additional filters, custom fields etc.

We had successfully tuned solr within AEM to perform a spacial search using the above method. Behind the scenes, AEM creates an xpath query and then executes it. Then, for any part of the query that doesn't map to xpath, it runs through the results and filters them.

You should also think about if there is a property to match as opposed to any text. That will give you much better results since you want accuracy. Right now you are casting an overly wide net, and I think you should consider restricting if for nothing other than performance reasons. Just a suggestion. You say the results don't match your query, can you give us some idea of what comes back?

And can you please put your actual query here. That will make it much easier to help. Note: it's not required to configure a solr index or whatever, you should be fine out of the box. But if you limit the search to specific fields, you should create an index entry in oak:index.

You can find a great cheat-sheet here. The following query will return all entries with "Foo Bar", "foo bar", "foo Bar", "Foo bar", but not "foo", "bar", "foo-bar" when your value is "foo bar".

aem full text search

Just ensure that while checking for the values in repository you send the value in lowercase for case-insensitive search. Learn more. Aem fulltextsearch Ask Question. Asked 4 years, 1 month ago. Active 3 years ago. Viewed 4k times. Victor Anatas Victor Anatas 11 2 2 silver badges 3 3 bronze badges.The GQL full-text search feature lets you search for assets based on specific metadata, such as title, description, author, and so on.

The GQL full-text search feature will fetch only those assets whose metadata exactly match with the corresponding value you enter. For example, to search for assets that have the title "Target":. To restrict your search to a specific folder or path, browse and select the search folder or path from the Select Search Directory field.

In this case, the match is searched for only in the folder and the child folders under it. The GQL full-text search feature lets you search for assets based on the following metadata properties.

The properties path,limit,size and orderby can't be ORed with any other properties. The keyword for user generated properties is the Field Label value for that property in property editor form with spaces removed and in lower case. If you write a JCR qwery to search for subassets only, the matched referenced assets are also displayed along with the matched subassets. By submitting your feedback, you accept the Adobe Terms of Use.

All rights reserved. Education Store for students, educators, and staff. Business Store for small and medium businesses. Other ways to buy. You are reading the AEM 6. In the Keywords field, specify the value "Target. GQL full-text search works for full-text predicates only. Search our Website.

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Ask our Community. Learn more about AEM topics on our help hub.The GQL full-text search feature lets you search for assets based on specific metadata, such as title, description, author, and so on. The GQL full-text search feature will fetch only those assets whose metadata exactly match with the corresponding value you enter. In the search field, specify the value "Target.

In this case, the match is searched for only within the folder and the child folders under it. The GQL full-text search feature lets you search for assets based on the following metadata properties. Note: GQL full-text search works for full-text predicates only.

Note: The properties path,limit,size and orderby can't be ORed with any other properties. The keyword for user generated properties is the Field Label value for that property in property editor form with spaces removed and in lower case. Note: If you write a JCR query to search for subassets only, the matched referenced assets are also displayed along with the matched subassets.

To search these letters as string literals, enclose the search expression in double quotes.

Full Text Search in AEM using Query Builder

You can improve the relevance of keywords for particular assets to help boost searches based on the keywords. In other words, the images for which you promote specific keywords appear at the top of the search results when you search based on these keywords.

From the Assets UI, open the properties page for the asset for which you want to promote a keyword. In necessary, specify multiple keywords in the same way. Search for the keyword using the Omnisearch box. The asset for which you promoted this keyword appears at the top of search results. Experience Manager 6. GQL full-text search Search. Select an article: Select an article:.

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On this page Search Assets Boosting Search. Applies to: Experience Manager 6. You're viewing help content for version: 6. For example, to search for assets that have the title "Target":. Search Assets. With the cursor in the Omni Search box, press Enter. Boosting Search.Search is an important feature of any website.

Implementing an efficient search on your website can considerably improve the experience of your visitors.

For websites on AEM, creating a custom search component without creating any new indexes has been a challenge. This is a generic search component which can be used to search within any content and DAM hierarchy. As compared to the OOTB search component of AEM, the custom search component does a full sentence search instead of individual words of sentences.

For asset search it can even provide the page number in which the text is present. Additionally, this custom search component will help you in site personalization as you can implement a user-permission based search.

I believe AEM by default uses Lucene indexes to perform effective and efficient searching. Yes, you are correct, AEM uses Lucene indexes for efficient searching and we are also using Lucene indexes. Omnisearch is an API which enables different search modules or location to plugin with common and unified search interface.

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Share it:. Thanks Matt. Related posts. All Rights Reserved. Privacy Policy. This website uses cookies to improve your experience.OAK allows to plug different indexers into the repository. The advanced features in search are available only using fulltext seach indexes. Only Lucene and Solr frameworks support indexes for fulltext search. Lucene is a high-performance, scalable information retrieval IR library.

IR refers to the process of searching for documents, information within documents, or metadata about documents. Lucene lets you add searching capabilities to your applications. It concerns the both indexing and searching phases:. To search large amounts of text quickly, you must first index that text and convert it into a format that will let you search it rapidly, eliminating the slow sequential scanning process.

This conversion process is called indexing, and its output is called an index. Lucene allow to make searchable various kind of data sources. It manage by default plain texts. Also images containing texts can be parsed and indexed. Once you have the raw content that needs to be indexed, you must translate the content into the units usually called documents managed by the search engine. The document typically consists of several distinct named fields with values, such as title, body, abstract, author, and url.

Often the approach is obvious: one email message becomes one document, or one PDF file or web page is one document. When a search will be performed, the engine will search only in the fields of the documents only those marked as searchable. Another common part of building the document is to inject boosts to individual documents and fields that are deemed more or less important.

Perhaps recently modified documents are more important than older documents? Boosting may be done statically per document and field at indexing time or dynamically during searching. Nearly all search engines, including Lucene, automatically statically boost fields that are shorter over fields that are longer. Analysisin Lucene, is the process of converting field text into its most fundamental indexed representation, terms.

These terms are used to determine what documents match a query during searching. An analyser tokenizes text by performing any number of operations on it, which could include extracting words, discarding punctuation, removing accents from characters, lowercasing also called normalizingremoving common words, reducing words to a root form stemmingor changing words into the basic form lemmatization.

This process is also called tokenizationand the chunks of text pulled from a stream of text are called tokens. Tokens, combined with their associated field name, are terms. In Lucene, an analyser is a java class that implements a specific analysis. Language is one factor, because each has its own unique features. Another factor to consider is the domain of the text being analyzed; different industries have different terminology, acronyms, and abbreviations that may deserve attention.

No single analyzer will suffice for all situations. An analyzer chain starts with a Tokenizerto produce initial tokens from the characters read from a Readerthen modifies the tokens with any number of chained TokenFilters.

The list below is an example for the stop words in English language "a""an""and""are""as""at""be""but""by""for""if""in""into""is""it""no""not""of""on""or""such""that""the""their""then""there""these""they""this""to""was""will""with".

So if a document is composed by 4 fields, the analyzer is applied to each field separately. During the indexing step, the document is added to the index. You can think of an index as a data structure that allows fast random access to words stored inside it.

The concept behind it is analogous to an index at the end of a book, which lets you quickly locate pages that discuss certain topics. In the case of Lucene, an index is a specially designed data structure, typically stored on the file system as a set of index files.OAK allows to plug different indexers into the repository.

The advanced features in search are available only using fulltext seach indexes. Only Lucene and Solr frameworks support indexes for fulltext search. Lucene is a high-performance, scalable information retrieval IR library. IR refers to the process of searching for documents, information within documents, or metadata about documents. Lucene lets you add searching capabilities to your applications.

It concerns the both indexing and searching phases:. To search large amounts of text quickly, you must first index that text and convert it into a format that will let you search it rapidly, eliminating the slow sequential scanning process.

This conversion process is called indexing, and its output is called an index. Lucene allow to make searchable various kind of data sources. It manage by default plain texts. Also images containing texts can be parsed and indexed.

aem full text search

Once you have the raw content that needs to be indexed, you must translate the content into the units usually called documents managed by the search engine. The document typically consists of several distinct named fields with values, such as title, body, abstract, author, and url. Often the approach is obvious: one email message becomes one document, or one PDF file or web page is one document. When a search will be performed, the engine will search only in the fields of the documents only those marked as searchable.

Another common part of building the document is to inject boosts to individual documents and fields that are deemed more or less important. Perhaps recently modified documents are more important than older documents? Boosting may be done statically per document and field at indexing time or dynamically during searching. Nearly all search engines, including Lucene, automatically statically boost fields that are shorter over fields that are longer.

Analysisin Lucene, is the process of converting field text into its most fundamental indexed representation, terms.

These terms are used to determine what documents match a query during searching. An analyser tokenizes text by performing any number of operations on it, which could include extracting words, discarding punctuation, removing accents from characters, lowercasing also called normalizingremoving common words, reducing words to a root form stemmingor changing words into the basic form lemmatization.Search predicates lets you customize your search based and makes the search functionality versatile.

You can add multiple predicates to the Search panel. For example, add the Fulltext predicate for full-text searches. Use the Property predicate to search for assets that match a single property that you specify. Use the Options predicate to search assets that match one or more values that you specify for a particular property.

aem full text search

Add the Date Range property to search assets created within a specified date range. In the Settings tab, enter a label, placeholder text, and description for the predicate. Specify a valid property name for the metadata property you want to associate with the predicate.

The header label in the Settings tab identifies the type of predicate you select. In the Property Name field, enter a name for the property based on which the search is performed.

Enable AEM to search document security protected PDF documents

Ensure that the Property Name field and other required fields are not empty and that they contain valid values. You cannot submit the Search form without specifying valid values for required fields. Navigate to the Search panel in the Assets user interface. Enter a description for the asset to be searched in the text box. For example, enter "Adobe. The Options predicate is the most versatile of predicates. It lets you configure multiple search options in the Search panel.

Once configured, you can select one or more of these options in the Search panel to search for assets based on them. For example, to provide the ability to search for assets based on file type in the Search panel, configure options, such as Images, Multimedia, Documents, and Archives in the Search form. After you configure these options, the search is performed on assets of type gif, jpeg, png, and so on when you select the Images option in the Search panel.

To map the options to the respective property, create a node structure for the options and provide the path of the parent node in the path property of Options predicate.


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