Found 315 results for "docs fields search"

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Gitana / 3.2 / Guide / Guide / Search

Search Any content you put into Cloud CMS is automatically indexed for full-text and structured search. This lets your editorial teams instantly search for content and find the things they're looking for. Under the hood, Cloud CMS uses Elastic Search and makes available to your editorial users and developers the full syntax of the Elastic Search Query DSL. This allows you to execute simple searches as well as more complex queries that take into account term and phrase matching, nested operations

Score: 22.432531

Gitana / 4.0 / Data Engine / Discovery / Search

Search Any content you put into Cloud CMS is automatically indexed for full-text and structured search. This lets your editorial teams instantly search for content and find the things they're looking for. Under the hood, Cloud CMS uses Elastic Search and makes available to your editorial users and developers the full syntax of the Elastic Search Query DSL. This allows you to execute simple searches as well as more complex queries that take into account term and phrase matching, nested operations

Score: 22.432531

Gitana / 4.0 / Data Engine / Content Models / Connectors

Connectors You can create fields in your form which connect to your Cloud CMS content. This is done by configuring the Alpaca field's datasource to use CloudCMS via a connector. Example Suppose you have a type my:category and want to create a dropdown field to select category when creating another document. To do that, you would create a field in your form like this: { ... "category": { "type": "select", "dataSource": { "connector": true, "conf

Score: 16.455013

Gitana / 3.2 / Guide / Guide / Find

Find The Cloud CMS Find Service lets you discover and retrieve content using combinations of its three primary content retrieval mechanisms. These mechanisms are: Query (powered by Mongo DB) Search (powered by Elastic Search) Traversal (provides Graph Traversal) A "Find" operation provides a way for you to execute a single API lookup that runs one or more of the above and composes them into a single result set. How it Works When you make a "Find" call, you provide a recipe containing at least on

Score: 15.110147

Gitana / 4.0 / Data Engine / Discovery / Find

Find The Cloud CMS Find Service lets you discover and retrieve content using combinations of its three primary content retrieval mechanisms. These mechanisms are: Query (powered by Mongo DB) Search (powered by Elastic Search) Traversal (provides Graph Traversal) A "Find" operation provides a way for you to execute a single API lookup that runs one or more of the above and composes them into a single result set. How it Works When you make a "Find" call, you provide a recipe containing at least on

Score: 15.110147

Gitana / 4.0 / Data Engine / Content Models / Relator Properties

Relator Properties Cloud CMS provides support for properties that auto-manage their relationships between multiple nodes in the content graph. Whenever you intend to connect two nodes together, it is often convenient to model a property on one or both of the nodes involved in the relationship such that the properties maintain information locally on the endpoints about the relationship. Such properties are known as "relator properties". Consider a Store that sells Books. Books are written by Auth

Score: 12.35951

Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services / Amazon Elastic Search Service

Amazon Elastic Search Service Amazon Elastic Search Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time. Cloud CMS works out-of-the-box with Amazon Elastic Search Service as an alternative to running Elastic Search on your own or using a Elastic Search hosted service. Amazon Elastic Search Service provides an easy and convenient way for customers to manage their own Elastic Search installations, data and backup.

Score: 10.597124

Gitana / 4.0 / Data Engine / Integrations / Amazon Web Services / Amazon Elastic Search Service

Amazon Elastic Search Service Amazon Elastic Search Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time. Cloud CMS works out-of-the-box with Amazon Elastic Search Service as an alternative to running Elastic Search on your own or using a Elastic Search hosted service. Amazon Elastic Search Service provides an easy and convenient way for customers to manage their own Elastic Search installations, data and backup.

Score: 10.597124

Gitana / 3.2 / Guide / Guide / User Interface / Search

Search Content is automatically indexed when it is created, modified, or uploaded in Cloud CMS. The index is across the Content properties and any attached file eg Word, PDF,.. Platform Project Project Search Settings go to Project Settings (left nav). Note: To have the Project Settings as an option you must have access: eg Tenant owner, or in the Project Manager Team select Search. The Project Search Screen can be updated and will apply the settings for the project only. Search Syntax Logic | -

Score: 8.73776

Gitana / 4.0 / User Interface / User Interface / Search

Search Content is automatically indexed when it is created, modified, or uploaded in Cloud CMS. The index is across the Content properties and any attached file eg Word, PDF,.. Platform Project Project Search Settings go to Project Settings (left nav). Note: To have the Project Settings as an option you must have access: eg Tenant owner, or in the Project Manager Team select Search. The Project Search Screen can be updated and will apply the settings for the project only. Search Syntax Logic | -

Score: 8.73776

Gitana / 3.2 / Guide / Guide / Forms

Forms Cloud CMS automatically generates and displays mobile-friendly forms using the Alpaca Javascript / HTML5 forms engine. The Alpaca Forms Engine was created by Cloud CMS and is available as an open source project. In addition to the standard library of 40+ controls provided by Alpacajs, Cloud CMS provides support for several additional controls that run within the Cloud CMS user interface. Schemas and Forms Cloud CMS separates the concept of a schema from a form. A schema (or definition) des

Score: 8.625388

Gitana / 4.0 / Forms / CMS / Overview

Forms Cloud CMS automatically generates and displays mobile-friendly forms using the Alpaca Javascript / HTML5 forms engine. The Alpaca Forms Engine was created by Cloud CMS and is available as an open source project. In addition to the standard library of 40+ controls provided by Alpacajs, Cloud CMS provides support for several additional controls that run within the Cloud CMS user interface. Schemas and Forms Cloud CMS separates the concept of a schema from a form. A schema (or definition) des

Score: 8.625388

Gitana / 3.2 / Guide / Guide / Forms / Fields

Fields Attachment Picker CK Editor File Picker Node Picker Related Content Slug

Score: 8.390276

Gitana / 4.0 / Forms / CMS / Fields

Fields Attachment Picker CK Editor File Picker Node Picker Related Content Slug

Score: 8.390276

Gitana / 3.2 / Guide / Guide / Search / Query String Reference

Query String Reference Cloud CMS lets you search for your content using either a text-based query string or a JSON block. These two methods are fairly equivalent for most typical operations. They provide two ways to express a search operation that will execute within Elastic Search. They are expressions of the Elastic Search DSL. This portion of the documentation goes into some of things you can do with the former, textual representation of an Elastic Search query string. In Cloud CMS, you can t

Score: 7.7889137

Gitana / 4.0 / Data Engine / Discovery / Search / Query String Reference

Query String Reference Cloud CMS lets you search for your content using either a text-based query string or a JSON block. These two methods are fairly equivalent for most typical operations. They provide two ways to express a search operation that will execute within Elastic Search. They are expressions of the Elastic Search DSL. This portion of the documentation goes into some of things you can do with the former, textual representation of an Elastic Search query string. In Cloud CMS, you can t

Score: 7.7889137

Gitana / 3.2 / Guide / Guide / User Interface / Projects / Configure Search

Configure Search You can configure the project search page to show different filter controls on the left hand side by adding some properties to your project JSON descriptor. These controls ultimately feed into a Cloud CMS node API find call that has the following structure: { "query": ... query block into MongoDB, "search": ... search block into Elastic Search } The following customization block can be added to your project's JSON descriptor: { ..., "search": { "showContentTypes"

Score: 7.785663

Gitana / 4.0 / User Interface / Projects / Configure Search

Configure Search You can configure the project search page to show different filter controls on the left hand side by adding some properties to your project JSON descriptor. These controls ultimately feed into a Cloud CMS node API find call that has the following structure: { "query": ... query block into MongoDB, "search": ... search block into Elastic Search } The following customization block can be added to your project's JSON descriptor: { ..., "search": { "showContentTypes"

Score: 7.785663

Gitana / 3.2 / Guide / Guide / Content Modeling / Connectors

Connectors You can create fields in your form which connect to your Cloud CMS content. This is done by configuring the Alpaca field's datasource to use CloudCMS via a connector. Example Suppose you have a type my:category and want to create a dropdown field to select category when creating another document. To do that, you would create a field in your form like this: { ... "category": { "type": "select", "dataSource": { "connector": true, "conf

Score: 7.5293703

Gitana / 3.2 / Guide / Guide / Application Server / Tags / @search

@search Searches for nodes and makes those nodes available to the template. Parameters parameter required description text required the text to search for sort the field to sort on sortDirection the direction to sort in (either 1 for ascending or -1 for descending) limit the number of records to return skip a position to skip ahead to in the record set scope if "page", then only relatives related to the current page will be returned as specifies the name of the results variable (by default - row

Score: 7.3679476

Gitana / 4.0 / Developers / Application Server / Tags / @search

@search Searches for nodes and makes those nodes available to the template. Parameters parameter required description text required the text to search for sort the field to sort on sortDirection the direction to sort in (either 1 for ascending or -1 for descending) limit the number of records to return skip a position to skip ahead to in the record set scope if "page", then only relatives related to the current page will be returned as specifies the name of the results variable (by default - row

Score: 7.3679476

Gitana / 4.0 / Forms / API / Custom Fields

Custom Fields Alpaca has a pretty inclusive field library that you can use straight away. Fields are simply referenced by their type within your Alpaca forms configuration. If you don't provide specific field types to use, Alpaca guesses at sensible defaults for you. You can also create your own fields. Alpaca fields are object-oriented (essentially) so that you can extend existing fields, override methods and modify behaviors. The result is less work and a complete extensibility layer so that y

Score: 7.17248

Gitana / 3.2 / Guide / Guide / Search / Examples

Examples This page provides sample searches that you can review to get an idea of what is possible with search within Cloud CMS. Cloud CMS offers full integration to Elastic Search and, in doing so, it gives developers the ability to powerful queries using the Elastic Search DSL (as either JSON or a text-based query string format). Example: Full-text Search (using JS Driver) Suppose we want to search for all of the content nodes where the text eddie van halen appears. We can do so by using a ful

Score: 6.26188

Gitana / 4.0 / Data Engine / Discovery / Search / Examples

Examples This page provides sample searches that you can review to get an idea of what is possible with search within Cloud CMS. Cloud CMS offers full integration to Elastic Search and, in doing so, it gives developers the ability to powerful queries using the Elastic Search DSL (as either JSON or a text-based query string format). Example: Full-text Search (using JS Driver) Suppose we want to search for all of the content nodes where the text eddie van halen appears. We can do so by using a ful

Score: 6.26188

Gitana / 4.0 / Forms / Fields / Search Field

Search Field The search field implements a search box that provides a search-optimized control running in most modern browsers. It allows for the specification of search terms with an optimized user interface. Note: This control does not perform the actual search for you. It uses the HTML5 'search' input type to inform the mobile device or web browser that you've focused into an input control intended for search term specification. Properties Title Search Description A search box field Field Typ

Score: 6.2417336