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Feature Highlights

• Seamlessly connect, build, and test queries using a visual interface within the same design environment.

• Visually select databases, tables, and columns for easy navigation and understanding.

• Create relationships (joins) between entities using a visual approach.

• Every visual item and action automatically generates the SQL query in real-time.

• Test your query within the builder to ensure you obtain the desired data before integrating the query into your project.

Once everything works according to your requirements, simply copy and paste the new query wherever needed. You can be confident that it will function as intended because it has already been tested.

Using the

Queries on the Dataset Module

Several different query languages may can be used to perform a range of simple to complex database queries.

Most database administrators are familiar with SQL since it is the most well-known and widely used query language. 

A query can be executed in a project solution through a couple different locations. Below you will find them listed with a short description.

Location 1: WhereCondition for DatasetTables

The first location you can use is the WhereCondition. In this case, the data query will be performed in a table, created at Datasets → Tables. Since the table is already selected, you only need to supply the conditional. You must also run SelectCommand to update the query.

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Location 2: Set the SqlStatement on Scripts

The second location uses a query, created at Datasets → Queries and linked to a provider, and sets its contents 

To execute the query, you need to select one of the tables from the database and the condition that you want to filter the data. You need to run SelectCommand to update the query.

@Dataset . Query . Query1 .SqlStatement Sql Statement = ” s e l e cselec t ? from Table1 where 
UTCTimestamp  Ticks>UTCTimestampTicks>=”   +  StartTime StartTime.UtcTicks Utc +  ” Ticks  +  ” and  and   UTCTimestamp  Ticks<UTCTimestampTicks<=”   +
EndTime . Utc Ticks + ”” ;
@Tag . TableTag = @Dataset . Query . Query1 . SelectCommand () ;

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Location 3: SqlStatement on Dataset Queries

 Instead Instead of writing it in a task/class or CodeBehind, it can be placed directly into Datasets → Queries → SqlStatement Column, using the Build-in SQL Editor

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Customizing the

Query with Tag Properties

For You can customize your query in the database through the SQLStatement, which is a property of the Query, and for the WhereCondition, which is the property of the Table of the Dataset.

, you can customize your query in the database. They are properties of type Server, so if you modify this property via Script, either on the server or on the clients, the property value will be synced between all clients.

However, we created the possibility for the user to configure Client Tags in the configuration of these properties. For example:

String1: Select * from {tagTable} where {tagWhereCondition}

Where "tagTable" and "tagWhereCondition" are Client tags.

Note that String1 will always be the same, and will not being be modified in the scripts. What will change is the tags of type Client. When we execute the SelectCommand or SelectCommandWithStatus methods, we resolve these tags in the client's context, passing to the server to correct the right query. Multiple clients can use the same query or table without conflict. Although, they will still be entering the same execution queue on the server (this does not mean multi-threading).

To summarize, you could even just put a { tagSQLStatementClient } in the SQLStatement, and the content of the query would be what was in that tag, specific to each client. It is important to remember that, in this case, it makes no sense to use the Select and Next properties, as they are only for server execution.

How to Use the SQL Query Builder

In order to Edit the queries, you can use the BuiltIn SQL Query editor, which assets on formatting the coloring the SQL Syntax. 

But, in some cases, it would be useful to create a query visually, dragging and dropping connections among the tables. That is purpose of the Tool "Visual Query Builder".

That tools runs on its own window, and you can activate it from the Datasets → DBs page

Loading Data

Before beginning, you need to make sure your databases and providers are configured correctly in the project. The first thing you need to do is load the data into the Query Builder. To do so, open the builder and click the Connect button in the top-left corner.

A popup will appear with a combo-box containing many types of providers. Select the one you will work with. In this example, we will set up a connection to a SQLite DB.

Now, we need to configure the path to the database. The path is the same one seen below in the Connection String’s DataSource field.

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If you wrote the correct path, you should be able to see all available tables and their elements in the right corner. Double-click one of the them to load its elements into the Sub-Query Structure.

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Inspecting Properties

The Properties button is located in the top left corner. When you select it, a popup will open with the Query Builder's customizable properties.

The image below shows all properties that are available to be customized.  

Creating Statements

After the selected table is loaded into the sub-query structure, a statement will be initialized at the bottom of the page. 

You can filter individual columns from the table by selecting specific checkboxes. When you do, the system will filter the table results based on your selection. If you do not select any checkboxes, the table will have not have any filters. 

The columns allow you to add conditions which filter values from the table.

The column options are:

• Visible: Remove the entire column from the query results.

• Expression: The original column name.

• Column Name: Give a table, or a column in a table, a temporary name. Aliases are often used to make column names more readable. An alias only exists for the duration of the query.

• Sort Type: Sort the results in ascending or descending order.

• Sort Order: Sort the order of the columns in the results.

• Aggregate: The values of multiple rows are grouped together as input on certain criteria to form a single value of more significant meaning. E.g.: Avg, Count, Sum.

• Grouping: Group column elements. Enable creating filter conditions for groups.

• Criteria: Criteria for the selection condition E.g.: =, >, <, ! =.

• Or: Same as the Criteria.

Statement Example

To better illustrate the query builder feature, we will create an example which assumes the following requirements for our query result:

• Only the UTCTimestamp Ticks and HistoricalTag columns are required.

• All column names need to be easily understandable.

• Elements will be sorted in ascending order.

• We only want the HistoricalTag values between 10 and 35.

Fill in the columns with these requirements as seen in the image below. 

If everything was filled in correctly, the final SQL Statement generated by the Query Builder should be:

Select Table1 . Historical Tag As TagValue , Table1 . UTCTimestamp Ticks As Date
From Table1
Where Table1 . Historical Tag = Table1 . Historical Tag > 10 And Table1 . Historical Tag <= 35
Order By TagValue , Date

Video Tutorial (Legacy)

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