Search Results

API / Features / Indexable

Indexable QName: f:indexable Informs a node of how it should be indexed. Cloud CMS maintains multiple indexes including a search index, a database index and special indexes for things like path-based retrieval. By default, all n:node instances have the f:indexable feature applied to them. The default behavior is for search to be enabled and for search-indexes to be updated synchronously upon a write. Nodes that are indexed for search will take a little extra time on write (create or update) sinc

Score: 10.541453

API / Branches/Releases / Custom Indexes

Custom Indexes Cloud CMS internally maintains indexes to improve the speed of your data lookups across all data store types. In most cases, there is no need to concern yourself with these as they deliver optimal performance. With respect to content repositories, however, Cloud CMS allows you to define custom database indexes on a per-branch basis. These custom indexes add to the default set that Cloud CMS automatically maintains. Each branch and/or snapshot maintains its own "tip" collection tha

Score: 10.159665

API / Content Services / Search

Search Cloud CMS provides full-text and structured search for all of your content. The platform uses Elastic Search under the hood to automatically create and manage search indexes for your content so that you can find anything at any time. The platform also offers "composite" search operations which let you layer searches on top of structured queries and traversals around node objects. Cloud CMS automatically indexes all of your content, including both it's JSON structure and any binary attachm

Score: 7.2683206

API / Content Services / Query

Query Cloud CMS provides SQL-like, structured query for all of your content. The platform uses MongoDB under the hood to store the JSON for your content. MongoDB offers a powerful, unmatched query engine so that you can execute complex lookups of your content to support both your editorial and runtime application needs. The platform also offers "composite" quyery operations which let you layer MongoDB queries on top of Elastic Search DSL searches and traversals around node objects. Cloud CMS aut

Score: 6.443918

Mitigating the OWASP Top 10

An explanation of how Cloud CMS addresses each of the Top 10 OWASP topics: Mitigating-the-OWASP-Top-10.pdf

Score: 5.783716

API / Actions / Start Workflow

Start Workflow ID: startWorkflow Starts a workflow with the given node placed into the payload. Configuration Property Type Required Default Description model text true The ID of the workflow model to be used. swimlanes object false Identifies principals to be assigned into workflow swimlanes. The structure is: { "swimlane1": ["domainId1/principalId1"], "swimlane2": ["domainId2/principalId2"] } runtime object false Allows for manual specification of runtime properties including applica

Score: 5.640059

API / Features / Geolocation

Geolocation QName: f:geolocation Indicates that this node supports geolocation properties. This feature provisions the node with a loc property that contains two sub-properties - lat and long. { "properties": { "loc": { "type": "object", "title": "Geolocation Details", "properties": { "lat": { "type":"number", "title": "Latitude", "minimum": -180, "maxim

Score: 5.561423

UI Guide / Projects / Deleted Items

Deleted Items Cloud CMS provides a "copy on write" mechanism for any creates, updates or deletes to the content in a branch. This means that whenever you delete something, you're actually masking it as deleted. The content itself is never destroyed or removed permanently. As such, it is always possible walk backwards in time and discover content that was deleted - all the way back to the moment when your branch or repository was created. To make things easier, Cloud CMS provides a "deletions" in

Score: 5.4954023

How do I search for nested content?

Cloud CMS maintains two indexes that are of interest for finding things. The primary index is the MongoDB index - against which you can run any query you can dream up using the MongoDB DSL. The secondary index is the Elastic Search index - against which you can run any search you can dream up using the Elastic Search DSL. For information all kinds of really powerful stuff you can do with this, see:

Score: 5.3677006

UI Developer Guide / Actions / Actions

Actions account change-password addon install-addon uninstall-addon applications delete_applications new_application archives delete-archives download-archive publish-archives unpublish-archives associations add-association delete-associations attachments add-attachment delete-attachments authorities grant-authority revoke-authority comments add-comment delete-comments conflict evaluate-conflict keep-conflicting-version keep-local-version view-conflict-in-api conflicts delete-conflicts evaluate-

Score: 5.2613773