Jcr sql2 query смотреть последние обновления за сегодня на .
This tutorial explain about writing search query using jcr sql2 query. How to execute jcr sql 2 query in aem. How to search and filter different type of nodes.
We need queries while development and analysis. This video will explain basics of various JCR SQL2 based queries. To subscribe the channel and get instant updates- 🤍
A quick tutorial on how to use AEM JCR SQL2 query strings to query for nodes in Java Content Repository. For more information, view the original blog post : 🤍
This tutorial explain about JCR SQL2 back end api to search content in repository. How to implement jcr sql2 query. How to use jcr sql2 query in aem service. Demo Code : 🤍
This tutorials explain about query builder in aem. How to write and execute query builder query in aem. Writing query using properties. How to get custom properties and how to group properties search. How to sort result on any particular property. AEM Query console : http://localhost:4502/libs/cq/search/content/querydebug.html
This tutorials explain about query builder in aem. How to write and execute query builder query in aem. Query to search components, templates , pages and files. Filter search using different properties. AEM Query console : http://localhost:4502/libs/cq/search/content/querydebug.html OOTB Predicates : 🤍
#AdobeExperienceManager #aem #lucene For queries to perform well, Oak supports the indexing of content that is stored in the repository. When a JCR query gets executed, usually it searches the index first. If there is no index, the query executes for the entire content. This is time-consuming and overhead for the AEM. A query can be executed without an index, but for large datasets, it will execute very slowly, or even abort. There are three types of indexing mode available that define how comparing is performed, and when the index content gets updated Synchronous Indexing - Under synchronous indexing, the index content gets updates as part of the commit itself. Changes to both the main content, as well as the index content, are done atomically in a single commit. Asynchronous Indexing - Asynchronous indexing (also called async indexing) is performed using periodically scheduled jobs. As part of the setup, Oak schedules certain periodic jobs which perform diff of the repository content, and update the index content based on that Near Real-Time (NRT) Indexing - This method indicates that the index is a near-real-time index. Indexing uses Commit Editors. Some of the editors are of type IndexEditor, which are responsible for updating index content based on changes in main content. Currently, Oak has the following inbuilt editors: PropertyIndexEditor ReferenceEditor LuceneIndexEditor SolrIndexEditor There are 3 main types of indexes available in AEM : Lucene – asynchronous (full text and property) - Recommended Property – synchronous [ Prefer only when you need synchronous results ] Solr – asynchronous Let see how to configure Lucene Index in AEM Oak supports Lucene based indexes to support both property constraint and full-text constraints. Depending on the configuration a Lucene index can be used to evaluate property constraints, full-text constraints, path restrictions, and sorting. If multiple indexers are available for a query, each available indexer estimates the cost of executing the query. Oak then chooses the indexer with the lowest estimated cost. select * from [nt:unstructured] where [jcr:path] like '/content/sampledata/%' and id LIKE '%1111%' queryLimitReads value can be changed but the query fails again after reaching the limit and also this will impact the overall system performance. 🤍console/configMgr/org.apache.jackrabbit.oak.query.QueryEngineSettingsService testindex - jcr:primaryType - oak:QueryIndexDefinition type - lucene includedPaths - /content/sampledata fullTextEnabled - false evaluatePathRestrictions - true compatVersion - 2 async - async, nrt id: propertyIndex - true ordered - true name - id isRegexp - false multiple properties can be added here The query generator can be also used to generate the query definitions - 🤍e/index, some properties may vary in AEM Change the reindex property to true to initiate the asynchronous indexing Now the query is working without any issues and with better performance. This is the best practice to review the slow running custom queries and configure the required indexing to improve the performance
What is a resource resolver in AEM and how to use query builder API to query in the JCR and get the content is explained in detail in this video. AEM Tutorial for Beginner Playlist 🤍 Previous Video: 🤍 Introduction to Sling Models: 🤍 References: http://localhost:4502/libs/cq/search/content/querydebug.html 🤍 00:00 - Introduction 00:48 - Recap 03:36 - Query Builder UI 09:54 - Factory Design Pattern 19:10 - Resource Resolver 22:30 - Query Builder API
#aem #ApcheSling #JCRQueries Adobe Experience Manager(AEM): Apache Sling Resource Filter Most of the time the JCR queries are very costly and impact the performance, The recommended way to find resources in the Sling repository is using tree-traversal methods, like listChildren() and getParent() rather than JCR queries. But to achieve this the developer should write a set of boilerplate code to traverse the AEM repository then identify the relevant Resources. this is more time consuming and verbose The Resource Filter API allows AEM developers to be more efficient on how they perform common repository traversals. It’s not a replacement of JCR queries or the traditional method of traversing the repository, but for simple content structures, you can achieve the required traversal through less code. This API adds support for using Lambda expressions to filter a stream of Resources from the Sling repository. Resource Filter bundle provides a number of services and utilities to identify and filter resources in a resource tree. ResourceStream is a general utility. It provides two functions. The first is access to a Stream that traverses a resource and it's subtree. The function takes a Predicate object which is used to select the child nodes to be part of the traversal. In addition, there is a getChildren(Predicate) method that returns a filtered list of children of the given resource. ResourcePredicate is a service that allows you to convert a string that defines simple matching requirements into a Predicate for use with the Collections and the Streams Java API. In addition, it also allows you to add parameters to the underlying context that the script will use. ResourceFilterStream combines the ResourceStream functionality with the ResourcePredicates service to provide an ability to define a Stream that follows specific child pages and looks for specific Resources as defined by the resources filter script. Similar to indexing in a query there are strategies that you can do within a tree traversal so that traversals can be done in an efficient manner across a large number of resources. The following strategies will assist in traversal optimization. Limit traversal paths - add required branch selector to limit the traversal path Limit memory consumption - use stream processing to reduce the memory consumption The Resource Filter API helps us to simplify the resource traversal with less code and effort Demo Servlet - 🤍
This tutorial explains. 1. How to access information/properties from jcr nodes. 2. How to get node properties using resource api. 3. How to display thumbnail. 4. How to access list in sightly. get repo - 🤍
This tutorial explain about query builder back end api to search content in repository. How to implement paging using query builder back end api. How query builder api used to search content in aem. Demo Code : 🤍
(3 of 50) Video contains the introduction of technology stack i.e building block of AEM architecture (OSGI , JCR and Sling). Stay tunned for more existing videos on AEM 6.3 from basic to advance. Please subscribe the channel for updates. Also you can mail your queries on vipinmeets🤍gmail.com. Thanks
Below given steps to fix index issues 1 Use the index generation tool - generate index definition. 2 Add the indexing under node oak:index. 3 Trigger the re-index We can define multiple indexes together and trigger them parallel without any issues. Read more here: 🤍
Part 1: Basic queries, illustrating different standard predicates (path, type, property, fulltext, daterange), searching for assets and pages, and how to get excerpts. This is part of videos show the AEM QueryBuilder in action using the built-in query debugger. Debugger Link (for a local instance): http://localhost:4502/libs/cq/search/content/querydebug.html AEM Gems Presentation about QueryBuilder: 🤍 Documentation: 🤍
mysql workbench : how to fix : Error Code 1175. You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column To disable safe mode, toggle the option in Preferences - SQL Editor
This tutorial explain, How to implement pagination using query builder query in search. How to use p.offset, p.limit and p.guessTotal. How to search without iterating whole results at once. AEM Query console : http://localhost:4502/libs/cq/search/content/querydebug.html
Querying MySQL data using an Adobe Experience Manager 6.4 DataSourcePool
How to create custom rollout configurations to update dialog properties in aem. How to update multifield properties using custom rollout configuration. How to add synchronization action to rollout configuration.
This talk presents a number of real-world examples of how JCR tree structures are used to store content in heavy-duty content management systems such as Adobe CQ5. We'll describe a number of macro- and micro-tree structures that expose your content in a transparent, evolvable and self-documenting way. By dissecting several example web and mobile application pages down to the content repository node and property level, we will show how JCR's combination of free-form and more structured micro-trees allows us to create simple and flexible content structures that can evolve with your application with minimal disruption. This talk will help JCR developers design efficient content models for their applications, and provide ideas for people using other storage systems to help them design clean and understandable storage models. Read more: 🤍 About Bertrand Delacretaz: 🤍 Website: 🤍 Twitter: 🤍 LinkedIn: 🤍 Reddit: 🤍
MySQL : SQL query to determine if a JSON value contains a specified attribute [ Beautify Your Computer : 🤍 ] MySQL : SQL query to determine if a JSON value contains a specified attribute Note: The information provided in this video is as it is with no modifications. Thanks to many people who made this project happen. Disclaimer: All information is provided as it is with no warranty of any kind. Content is licensed under CC BY SA 2.5 and CC BY SA 3.0. Question / answer owners are mentioned in the video. Trademarks are property of respective owners and stackexchange. Information credits to stackoverflow, stackexchange network and user contributions. If there any issues, contact us on - htfyc dot hows dot tech #MySQL:SQLquerytodetermineifaJSONvaluecontainsaspecifiedattribute #MySQL #: #SQL #query #to #determine #if #a #JSON #value #contains #a #specified #attribute Guide : [ MySQL : SQL query to determine if a JSON value contains a specified attribute ]
This servlet can be used to find unique components in the content. To subscribe the channel and get instant updates- 🤍 Code available at- 🤍
Adobe Experience Manager (AEM) . Most of the time the new developers in AEM do not understand how the content is saved in the repository or how the content is fetched and rendered on the page in AEM. AEM has it's own content repository called CRX or Content Repository Extreme. Adobe call them Experience Server , which embeds Content Repository Based on Jackrabbit. Apache Jackrabbit is an open source, fully conforming, implementation of the JCR API 2.0. The Java Content Repository (JCR) standard, JSR 283, specifies a vendor-independent and implementation-independent way to access content bi-directionally on a granular level within a content repository. ( source : 🤍 The video explains where and in what format the content gets saved in the repository. Even if you are a beginner or a developer preparing for AEM Interview I hope these videos help you for the same. For easy navigation I have added chapters to the video. Hope this helps you all. Pre requisites :- AEM installation with basic understanding 0:00 Introduction 1:53 What is CRX ? 2:45 Structure of Content ! 3:37 Content Repository/CRX - In Action 5:45 How the value gets saved in Repo ?
Programmatically Accessing Adobe Experience Manager Content using the JCR API
If you want to quickly look for different content or node values or test a query before implementing it, with the query builder debugger console, you can do just that! In this quick tips episode, you will learn how! Free Mini-Courses Adobe Experience Manager Quick Tips Mini-Course to find more links, code and the commands shown in the video 🤍 Subscribe for more tutorials about Adobe Experience Manager, docker, keras and tensorflow.js: 🤍 If you enjoyed my video and it helped you learning something new or solving a problem, and you would like to Buy me a coffee, you can do just that at: 🤍 00:00 Topics for the video 00:21 Channel Intro 00:43 Clone example application 01:07 Query Builder Debugger Url 01:15 Full text search 01:53 Search Results 02:13 Look for property values 02:53 Change the operation type to "like" 03:08 JSON results 03:23 Full results 03:43 Pagination 04:05 Mini-Course Share this video with a friend: Using the Query Builder Debugger in Adobe Experience Manager (AEM) 🤍 Watch next How to create an AEM component using Angularjs 🤍 Creating an AEM application using Maven and Adobe's archetype 🤍 Recommended Playlist Adobe Experience Manager Tutorials 🤍 Let’s connect: Twitter – 🤍drginm (🤍 LinkedIn – 🤍
In this AEM Video I have discussed the AEM JCR , how jcr is used in AEM and CRX implementation of Adobe experience manager to manage AEM JCR using adobe experience manager CRX. #AEM #aemjcr #aemcrx
Microservices are definitely the hot topic du jour . Everyone ( and their dog ) is using microservices or migrating towards them. However, there is a gap between the enthusiam for microservices and the tooling to make them a productive part of the large-scale deployment. Apache Sling is an innovative web framework built on top of the Java Content Repository (JCR), that uses OSGi for its component model and fosters RESTful application design. And, as we will see, it is also perfect match for a microservices gateway. In this talk we will review an ill-fated monotlithic application and extract it into several microservices, maintaining a coherent view of the resulting application through Apache Sling. We will touch upon authentication, authorization, API standardisation and logging, while also gaining a basic understanding of Apache Sling.