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Speaking of datasets...
This feature allows creating datasets and defining which ones will be offline on mobile devices, which ones should be synchronized with the external data provider, and the synchronization frequency, among other options.
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Datasets are components that allow standardizing access to information from locations external to the platform, such as applications and databases. High-performance datasets have a data storage cache obtained externally, which aims to reduce the number of accesses to external data services, that is, it creates a copy of the data structure within the platform for query, enhancing the performance of the datasets developed on the platform. Therefore, the data is queried on the platform itself, preventing access to data in the external provider system in every request.
In order to update the data of the copy created on the platform, go to Task scheduler and define the synchronization frequency.
Basic Path
This feature allows creating datasets and defining which ones will be offline on mobile devices, which ones should be synchronized with the external data provider, and the synchronization frequency, disable those that are no longer used, among other options.
Active datasets are highlighted with a stronger font color to stand out among datasets that are no longer being used.
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Refer to the technical documentation to learn more about dataset development. |
Displaying datasets
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01. In the main menu, click Control Panel.02. In the General tab, , then check Development container and click Datasets.
0302. View all internal, generated or encodeddatasets View all datasets shown in the list.
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It is possible to search for a specific dataset through the Search field located in on the upper right corner of the window. |
Alternative Paths
Displaying datasets
, or use the Filter button to select datasets that will be returned. |
Filtering datasets
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01. In Click the Display field Filter button located at the top left side of the screen, select the type of dataset to viewon the upper right corner of the window.
02. Select the type of dataset to view: Encoded, Generated or Internal.03. datasets to be shown on screen. Filter by status (active, inactive and/or under editing) and type (internal, simple and/or advanced).
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The selected types of datasets will be listed |
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New
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simple dataset
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01. Click New Dataset, and click Simple.
02. In the Code field, enter a code for the dataset.
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To avoid inconsistencies, the dataset code and description must not contain special characters (except for “_” and “-”). |
03. In the Description field, enter a description for the dataset.
04. In the Service field, select a service for the dataset.
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If no service is listed, simply register a new one, by clicking the Register button. In the Name field, add a name for the service to be registered. In the Description field, add a description for the service. In the URL field, add the URL of the Webservice to be used. Click Save. When creating a service in fluig, pointing to a webservice, a .jar file is created in the volume, which is used to access that webservice. The classes within the .jar file are called stubs. That is why, when creating a service, some conflicts may occur and prevent the generation of stubs. Thus it will be necessary to use a JAXB bind file. The binding file will only be used for services created using the CXF API. To add it, simply click Choose file in the Binding file field and add it. For more details about binding, see our technical documentation on Integration with External Applications. |
05. In the Operation field, select an operation for the dataset.
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It is possible to configure an operation by clicking the Configure field.
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02. In the User field, define a user.
03. In the Password field, define a password.
04. To disable chunking, select the Disable chunking option.
05. If you want to enable the soap message list, select the List SOAP messages option.
06. In the Response Time field, define the response time.
07. Click Save.
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If you do not have any registered services, simply go to the Services menu in the General tab of the Control Panel to create a new one. |
05. When you select the SOAP, REST, or JDBC services, the fill-in options will appear differently from one to the other. Fill in the fields according to the selected service.
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06. Click Save.
New advanced dataset
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01. Click New Dataset, and click Advanced.
02. In the Code field, enter a code for the dataset.
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To avoid inconsistencies, the dataset code and description must not contain special characters (except for “_” and “-”). |
03. In the Description field, enter a description for the dataset.
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This adds a new advanced dataset record and opens the screen to edit the dataset source code. The source code will be saved as draft before the authenticated user clicks Save. Changes to the source code are only applied to the dataset after the user completes all changes and clicks the Post button. Refer to the technical documentation available here to learn more about building advanced datasets. |
Enable offline dataset on mobile
06. In the Parameters field, define the assignment and value for each parameter.
07. Click Save.
Enable offline dataset on mobile
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01. Click the edit icon in the Offline mobile column, represented by the pencil symbol.
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The default setting is No (Off). Required information: Use cache on mobile devices? When enabled, the data in the dataset is stored in cache when used on mobile devices. In this case, the button ON (yes) is displayed, indicating that the feature is active. When set to disable the feature, the button OFF (no) is displayed, indicating that the feature is disabled. Mobile cache expiration time Time in which the stored data is considered valid and remains in the cache of mobile devices before being updated. Not use cache when the mobile device is online? When enabled, the data in cache is not queried when the mobile device is online, that is, it is required from the external system. |
03. Click Save.
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New data created on mobile devices when using the offline mode is only available for query on other forms after the mobile application is synchronized with the fluig Fluig server. For more information about this process, go to the step Configuring dataset synchronization on this page.
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Import dataset
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01. Click the edit icon, represented by the pencil symbol, located in the Synchronization column Import.
02. Click On to enable it.
03. Click Synchronize now
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When clicking this option, the dataset data written on the platform are synchronized with the corresponding data from the external system. It is only possible to enable data synchronization for datasets developed on the platform. When enabling synchronization, it is carried out according to the schedule created in Task Scheduler. For information on how to define the synchronization frequency, see the alternative path Edit scheduling |
04. Click Off to disable it.
05. Click Save.
06. Click Close.
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This option can only be edited for Generated Datasets. Internal Datasets are viewed as default. |
View synchronization information
01. Click the information icon in the Last synchronization column.
02. View the information on the last data synchronization of the dataset.
03. Click Close to go back to the main window
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This option can only be edited for Generated Datasets. |
Edit synchronization scheduling
01. Click the horizontal bars icon, located in the Options column.
02. Click Edit scheduling.
03. In the Scheduling settings window, change the information of your choosing
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For additional information on the fields, see Task Scheduler. |
04. Click Confirm.
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To view the next scheduled synchronization, simply keep an eye on the Next synchronization column, which shows the exact date and time of the next synchronization. This option can only be edited for Generated Datasets. |
Display code
01. Click the horizontal bars icon, located in the Options column.
02. Click Display code.
03. View the javascript source code of the developed dataset.
04. Click Close
Delete dataset
01. Click the horizontal bars icon, located in the Options column.
02. Click Delete dataset.
03. In the pop-up message, click Delete
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When clicking this option, all data contained in the dataset is deleted. This option can only be edited for Generated Datasets |
Querying dataset
01. Click Query, represented by the magnifying glass icon, located in the Options column.
02. View dataset data.
03. Click Close.
Edit dataset
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Select the server to which the dataset will be imported.
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The server must be properly registered as detailed in the Servers item. The dataset will only be successfully imported if the selected server has a update 1.6.5 (Liquid) or higher. If there is already a dataset with the same code imported from another server, the platform will show a warning message, and the user must confirm in order to create a new version with the deployment of the imported dataset. |
03. Click Import.
Export dataset
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01. Select the datasets to be exported.
02. Click Export.
03. Select the server to which the dataset will be exported.
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The server must be properly registered as detailed in the Servers item. The dataset will only be successfully imported if the selected server has a update 1.6.5 (Liquid) or higher. |
04. Click Export.
Configure access permission in the dataset
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The Control Panel Permissions feature allows you to define users, roles, or groups that will have access to Internal datasets. For more details, go to Permission features in APIs, datasets and webservices.
Dataset synchronization
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Synchronization features are available in a specific screen, which can be accessed by clicking the link in the Synchronization column. Refer to the Dataset synchronization page to learn more about this feature.
More dataset actions
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Datasets contain several specific actions, which may be checked by clicking the Horizontal bars icon in the More actions column. Refer to the More dataset actions page to learn more about these features.
02. Make the necessary changes.
03. Click Save.
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This documentation is valid from the Liquid (1.6.2 5) update. If you use a previous update, it may contain information different from what you see on your platform. |
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