Search: add-data-column

Step 1: Start by selecting the Entity to which you want to add a new field then click on the "Add

only of letters and numbers. This name will be used to store the data in the database. Type: Choose the appropriate data type for the field from options such as Text, Yes-No, Number, and Date-Time. Text: Use

Data Service

[2] How to use Data Service

to add a new field then click on the "Add Field" button. ))) [[image:image-20230630131330-1.png

name for the field, consisting only of letters and numbers. This name will be used to store the data in the database. * **Type**: Choose the appropriate data type for the field from options such as Text, Yes

column table header table header table header table header cell cell table header cell

: Macros Macros allow you to make wiki content look better and to add additional features to your wiki

| cell | cell | cell | cell | cell == Table with headers in the top row and left column == |= table

better and to add additional features to your wiki. Here are 2 examples of how macros can be used in wiki

down the connector. Select the Add connection button. You are now redirected to the connection page

. Enter the required information and click Connect. Add the Salesforce connection To create a connection

the connector. Select the Add connection button. When establishing the connection to your Salesforce instance

the search bar to narrow down the connector. ))) 1. Select the **Add connection** button. 1. You are now

the appropriate authentication mechanism. 1. Enter the required information and click **Connect**. == **Add

the **Add connection** button. 1. ((( When establishing the connection to your Salesforce instance, you

. (* For Mandatory) Properties Misc Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Display Name (String) - The name

(Dropdown List) - Enables you to choose different types of statement that can be add in the expression

that can be add in the expression property. * **Values (IEnumberable)***- The data collections that you

) == **Properties** == **Misc** * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Display Name (String

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

it, the data of this activity will be shown in the log. Be careful, consider data security before using

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

. E.g: [389861710] For Each < T > * **Public (Checkbox)** - If you check it, the data of this activity

add activities to create the work flow. (* for Mandatory) Properties Misc Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security

and also apply to other projects if needed. From the start button, you can add activities to create

) == **Properties** == **Misc** * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Display Name (String) **- The name

After importing the document successfully and the data extraction process is successfully finished

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully

with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

for the execution. E.g: “counter < 15” Body* - You can add different activities here. Properties Misc Display

and structure your code better. E.g: [410342694] While Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Condition (Boolean

” * **Body*** - You can add different activities here. == **Properties** == **Misc** * **Display

and structure your code better. E.g: [410342694] While * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Condition

Step 1: Navigate to the Data tab of the desired entity in Data Service. Step 2: To apply more filters on your results list, click Advanced Filter. The pop-up Advanced Filter will open Step 3: User

, use integers for Number fields. Click + Condtion to add as many conditions as you need. To remove

[8] Advanced Filter in Data Service

Data Service

[2] How to use Data Service

[8] Advanced Filter in Data Service

(% class="box infomessage" %) ((( **Step 1: ** Navigate to the **Data** tab of the desired entity in Data Service. ))) [[image:image-20230630132517-1.png]] (% class="box infomessage" %) ((( **Step 2

for **Text** fields, use integers for **Number** fields. ))) 1. Click **+ Condtion** to add as many

Delete. Click OK to confirm. Choose Add New Item from the Project menu. In the Installed > Common Items

and then click Add. Replace the existing SumInt definition with the following definition. Click Build Solution

nuget.exe file is placed). Open created .nuspec file, remove all example data and input at least Author

. Choose Add New Item from the Project menu. 1. In the Installed > Common Items node, select Workflow. Select Code Activity from the Workflow list. 1. Type SumInt into the Name box and then click Add. 1

%** is the directory where **nuget.exe** file is placed). * Open created **.nuspec** file, remove all example data