Uipath join datatables

Uipath join datatables DEFAULT

DataTable.Merge Method

Definition

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Overloads

Examples

The following console application demonstrates the behavior of the parameter of the Merge method. This example creates two versions of the same table, modifying the schema for the second version. The code then attempts to merge the second table into the first.

Note

This example shows how to use one of the overloaded versions of Merge. For other examples that might be available, see the individual overload topics.

The method is used to merge two DataTable objects that have largely similar schemas. A merge is typically used on a client application to incorporate the latest changes from a data source into an existing DataTable. This allows the client application to have a refreshed DataTable with the latest data from the data source.

The merge operation takes into account only the original table, and the table to be merged. Child tables are not affected or included. If a table has one or more child tables, defined as part of a relationship, each child table must be merged individually.

Merge(DataTable, Boolean, MissingSchemaAction)

Merge the specified DataTable with the current , indicating whether to preserve changes and how to handle missing schema in the current .

Parameters

preserveChanges
Boolean

, to preserve changes in the current DataTable; otherwise .

Examples

The following console application demonstrates the behavior of the parameter of the Merge method. This example creates two versions of the same table, modifying the schema for the second version. The code then attempts to merge the second table into the first.

Remarks

The method is used to merge two DataTable objects that have largely similar schemas. A merge is typically used on a client application to incorporate the latest changes from a data source into an existing DataTable. This allows the client application to have a refreshed DataTable with the latest data from the data source.

The merge operation takes into account only the original table, and the table to be merged. Child tables are not affected or included. If a table has one or more child tables, defined as part of a relationship, each child table must be merged individually.

The method is typically called at the end of a series of procedures that involve validating changes, reconciling errors, updating the data source with the changes, and finally refreshing the existing DataTable.

When performing a merge, changes made to the existing data before the merge are preserved during the merge operation unless the developer specifies false for the parameter. If the parameter is set to , incoming values do not overwrite existing values in the Current row version of the existing row. If the parameter is set to , incoming values do overwrite the existing values in the Current row version of the existing row. For more information about row versions, see Row States and Row Versions.

In a client application, it is usual to have a single button that the user can click that gathers the changed data and validates it before sending it back to a middle tier component. In this scenario, the GetChanges method is first invoked. That method returns a second DataTable optimized for validating and merging. This second DataTable object contains only the DataTable and DataRow objects that were changed, resulting in a subset of the original DataTable. This subset is generally smaller, and thus this subset is more efficiently passed back to a middle tier component. The middle tier component then updates the original data source with the changes through stored procedures. The middle tier can then send back either a new DataTable that includes original data and the latest data from the data source (by running the original query again), or it can send back the subset with any changes that have been made to it from the data source. (For example, if the data source automatically creates unique primary key values, these values can be propagated back to the client application.) In either case, the returned DataTable can be merged back into the client application's original DataTable with the Merge method.

When the Merge method is called, the schemas of the two DataTable objects are compared, because it is possible that the schemas may have been changed. For example, in a business-to-business scenario, new columns may have been added to an XML schema by an automated process. If the source DataTable contains schema elements (added DataColumn objects) that are missing in the target, the schema elements can be added to the target by setting the argument to . In that case, the merged DataTable contains the added schema and data.

After merging schemas, the data is merged.

When merging a new source DataTable into the target, any source rows with a DataRowState value of , , or are matched to target rows with the same primary key values. Source rows with a DataRowState value of are matched to new target rows with the same primary key values as the new source rows.

See also

Merge(DataTable, Boolean)

Merge the specified DataTable with the current , indicating whether to preserve changes in the current .

Parameters

table
DataTable

The to be merged with the current .

preserveChanges
Boolean

, to preserve changes in the current ; otherwise .

Examples

The following console application creates a DataTable containing rows, modifies some of the data in those rows, and attempts to merge data from a different DataTable. The example demonstrates the different behaviors for the parameter.

Remarks

The Merge method is used to merge two DataTable objects that have largely similar schemas. A merge is typically used on a client application to incorporate the latest changes from a data source into an existing DataTable. This allows the client application to have a refreshed DataTable with the latest data from the data source.

The merge operation takes into account only the original table, and the table to be merged. Child tables are not affected or included. If a table has one or more child tables, defined as part of a relationship, each child table must be merged individually.

The method is typically called at the end of a series of procedures that involve validating changes, reconciling errors, updating the data source with the changes, and finally refreshing the existing DataTable.

When performing a merge, changes made to the existing data before the merge are preserved during the merge operation unless the developer specifies false for the parameter. If the parameter is set to , incoming values do not overwrite existing values in the Current row version of the existing row. If the parameter is set to , incoming values do overwrite the existing values in the Current row version of the existing row. For more information about row versions, see Row States and Row Versions.

In a client application, it is usual to have a single button that the user can click that gathers the changed data and validates it before sending it back to a middle tier component. In this scenario, the GetChanges method is first invoked. That method returns a second DataTable optimized for validating and merging. This second DataTable object contains only the DataTable and DataRow objects that were changed, resulting in a subset of the original DataTable. This subset is generally smaller, and thus this subset is more efficiently passed back to a middle tier component. The middle tier component then updates the original data source with the changes through stored procedures. The middle tier can then send back either a new DataTable that includes original data and the latest data from the data source (by running the original query again), or it can send back the subset with any changes that have been made to it from the data source. (For example, if the data source automatically creates unique primary key values, these values can be propagated back to the client application.) In either case, the returned DataTable can be merged back into the client application's original DataTable with the Merge method.

When merging a new source DataTable into the target, any source rows with a DataRowState value of , , or are matched to target rows with the same primary key values. Source rows with a DataRowState value of are matched to new target rows with the same primary key values as the new source rows.

See also

Merge(DataTable)

Parameters

Examples

The following console application creates a simple DataTable and adds data to the table. The example then creates a copy of the table, adding rows to the copy. Finally, the example calls the Merge method to merge the data in the second table with the data in the first table.

Remarks

The Merge method is used to merge two DataTable objects that have largely similar schemas. A merge is typically used on a client application to incorporate the latest changes from a data source into an existing DataTable. This allows the client application to have a refreshed DataTable with the latest data from the data source.

The merge operation takes into account only the original table, and the table to be merged. Child tables are not affected or included. If a table has one or more child tables, defined as part of a relationship, each child table must be merged individually.

The method is typically called at the end of a series of procedures that involve validating changes, reconciling errors, updating the data source with the changes, and finally refreshing the existing DataTable.

When performing a merge, changes made to the existing data before the merge are preserved by default during the merge operation. Developers can modify this behavior by calling one of the other two overloads for this method, and specifying a false value for the parameter.

In a client application, it is usual to have a single button that the user can click that gathers the changed data and validates it before sending it back to a middle tier component. In this scenario, the GetChanges method is first invoked. That method returns a second DataTable optimized for validating and merging. This second DataTable object contains only the DataRow objects that were changed, resulting in a subset of the original DataTable. This subset is generally smaller and thus more efficiently passed back to a middle tier component. The middle tier component then updates the original data source with the changes through stored procedures. The middle tier can then send back either a new DataTable that includes original data and the latest data from the data source (by running the original query again), or it can send back the subset with any changes that have been made to it from the data source. (For example, if the data source automatically creates unique primary key values, these values can be propagated back to the client application.) In either case, the returned DataTable can be merged back into the client application's original DataTable with the Merge method.

When merging a new source DataTable into the target, any source rows with a DataRowState value of , , or , is matched to target rows with the same primary key values. Source rows with a DataRowState value of are matched to new target rows with the same primary key values as the new source rows.

See also

Sours: https://docs.microsoft.com/en-us/dotnet/api/system.data.datatable.merge

Level of Difficulty: Intermediate – Senior.

This post will assist in understanding what SQL user-defined table types (UDTTs) are and how they can be used within UiPath as a part of a Data Exchange Architecture (DEA). Following explanations of UDTTs and DEA approaches, we will do a practical implementation walkthrough.

User-Defined Table Types (UDTTs)

User-defined table types are table schema definitions that may be created by users in order to store temporary data. In essence, this means that you can send a table through to a stored procedure as a parameter, the same way you would an integer or string value, without having to write the data to a table first. The benefit of this is that you don’t need to store data on a permanent medium in order to perform SQL queries on the data (like joins or upsert merges, for example).

Data Exchange Architecture (DEA)

A Data Exchange Architecture component, in this context, refers to the use of Extract Transform Load (ETL) or Extract Load Transform (ELT) in order to maintain a constant and usable state of reliable data at any point in time. This can be implemented in many different ways, depending on the existing data architecture within your environment.

One way of implementing ETL would be to create three database schemas, each responsible for its own phase of ETL:

  1. Landing: (Extract)
    • All raw data is landed in the relevant tables within this schema. No changes are to be made to this data (possibly done through a truncate and load process)
  2. Staging: (Transform)
    • Data from landing tables are used to populate staging tables and data is cleaned up (possibly done either using truncate and load or using upsert merge statements)
  3. Loading: (Load)
    • Data from staging tables are transformed according to the business rules and populated into the tables within this schema (usually done using upsert merge statements)

Another common approach is to combine Landing and Staging into one schema (usually Staging). The idea behind this approach is that the Staging tables should be the intermediate storage between data sources and data targets.

Use-Case

Let’s work through a practical example together. We have two datasets: an Excel file (which is a few hunderd records large) containing Azure Devops project informationand a SQL table (which is a few thousand records large) containing additional project information, like who the project manager is, what the project budget is, etc. For the sake of context, not all of the projects are recorded in the Azure Devops dataset as not all projects are currently active. The SQL table contains historical project data too.

We DO want to:

We would like to join the data that exists within in Excel with the data in SQL in order to enrich our dataset needed in our UiPath process.

We DO NOT want to:

We do not want to query the Excel and SQL data into UiPath datatables and do the joins in UiPath due to the way that the UiPath “Join Datatables” activity iterates through each record in each datatable to find the join. Considering the amount of data that we are working with, the process would perform poorly in terms of time. SQL is really good at processing data quickly, so it would be a good idea to parse the Excel data into SQL but we don’t want to create a table for it if we don’t need to.

So we…

We do stuff… In SQL and in UiPath.

In SQL

We use UDTTs and stored procedures. We can create a table schema definition for the Excel file in SQL (ID, name, description and URL) as a type. The UDTT create statement would look something like:

CREATE TYPE [Project_UDTT] AS TABLE ( [id] [uniqueidentifier] NOT NULL, [name] [varchar](255) NOT NULL, [description] [varchar](max) NULL, [url] [varchar](max) NOT NULL ); GO

Next, we would need a stored procedure to parse the UDTT through and retrieve the joined results, which would look something like:

CREATE PROCEDURE [JoinProjectInformation_SP] ( @Projects [Project_UDTT] READONLY ) AS BEGIN SET NOCOUNT ON; SELECT p.* -- all columns in @Projects ,pi.* -- all columns in ProjectInformation FROM @Projects p JOIN ProjectInformation pi ON p.id = pi.ProjectID END; GO

Now we go do more cool stuff in UiPath.

In UiPath

We will need to add an Execute Query activity (Execute Non-Query would work more or less the same, if that’s the sort of thing that you’re into) to the desired sequence. If you can’t find the Execute Query activity, make sure that you have the UiPath.Database.Activities package installed.

First, we need add the stored procedure name (“JoinProjectInformation_SP”) to the SQL input argument as well as change the CommandType to StoredProcedure. Assign the output Datatable argument to something along the lines of dtJoinedProjects.

Next, we need to add the results (of Datatable type) from “Get Projects” as a paramter to the stored procedure. We do that by configuring Parameters:

Ensure that the Parameter Name is the same as it is declared in the SQL stored procedure but without the “@” prefix. Once you’re done, select OK and run the workflow.

Did this work for you? Is there something you’d like to add? Drop a comment below or reach out to me [email protected]

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Published by Jacqui Muller

I am an automation architect by current profession who enjoys dabbling in software development, RPA, IOT, advanced analytics, data engineering and business intelligence. I am aspiring to complete a Master's degree in Computer Science within the next two years. My competencies include a high level of computer literacy as well as programming in various languages. I am passionate about my field of study and occupation as I believe it has the ability and potential to impact lives - both drastically and positively. I come packaged with an ambition to succeed and make the world a better place. View more posts

Sours: https://thejpanda.com/2021/04/22/rpa-using-sql-user-defined-table-types-in-uipath-as-a-component-of-a-data-exchange-architecture/
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January 23, 2021

Convert a DataTable Column to a List in UiPath

In every business process automation we work with DataTable.

Let’s learn how we can convert a DataTable Column to a List in UiPath using a LINQ Query.

It may be used in different steps of the workflow basing on your conditions for that process.

Let’s look at the implementation now.

Step1: Drag and Drop a Build DataTable Activity in UiPath studio designer panel as mentioned below:

datatable column to list

Step2: Drag and Drop an Assign activity in the designer panel as mentioned below:

datatable column to list

Let’s understand what we have used in the above LINQ Query.

What is AsEnumerable()?

It is a generic method, which allows you to cast a specific type to its IEnumerable equivalent.

From row in DT.AsEnumerable()

Here AsEnumerable() method will returns an IEnumerable<DataRow> object.

This can be used in a LINQ expression or method query.

So, from this we are iterating each row from a DataTable.

Now, we are converting each row value that is related to that particular column value to a string and add it to List.

This is how the LINQ expression will work in this case of converting a DataTable column to a list.

Step3: If you want to get each value from that List you can use for each and iterate it as mentioned below:

datatable column to list

Step 4: If you want to see the output of this List in a message box then you have to use the below-mentioned code:

Here we are joining the List which is separated by a space.

Note:

The column name that we are mentioning in the LINQ query is a specific one that needs to be taken a look at if you are facing any errors.

Happy Learning!

Sours: https://rpalearners.com/convert-a-datatable-column-to-a-list-in-uipath/
How to merge multiple datatables into single datatable in UiPath- DataTable Automation- #rpalearners

DataTable Operations in UiPath

In the following article, I am going to present to you how to work with DataTables in UiPath. Here are the topics that I am going to cover:

First, let’s create a new project called DataTable Operations.

Data Table Operations UiPath project

All operations are performed inside a Sequence. So, let’s add a new sequence and rename it as DataTable Operations.

Create new DataTable

Select the + button to add a new activity to the sequence. You can also press Ctrl+Shift+T. Search for Build Data Table and select the activity.

Create Data Table

To define the columns and rows go on and select DataTable.

DataTable

By default, two columns and two rows are displayed. In this example, I am going to create a Customer DataTable with 3 columns Id, Name and Email address. Also, I am going to add 4 distinct rows. Now let’s configure the columns.

DataTable - Edit column

Because I decided to edit the first column (which was string type), a warning message can be visible at the bottom of the window.

Data Type has changed. All data from this column will be lost.

I am going to do the same for the remaining columns Name and Email.

Edit Column

In the end, the DataTable will look like this:

Build Data Table content

Save everything in a DataTable variable. Go to properties, select the Output DataTable and press Ctrl+K to create a new variable. Name the variable customerDT.

Data Table Operations

Display the DataTable content

Add Output Data Table activity. Search for the activity and add it after the Build Data Table.

Output Data Table

To configure the activity, go to properties and set the Input as customerDT. For the Output create a new variable called customer (String data type).

Output Data Table configuration

To visualize the content of the customer DataTable variable I used a Message Box activity.

Display Data Table

Add new DataRow to DataTable

To perform the first DataTable operation search for Add Data Row activity and add it right after the Build Data Table.

Add Data Row

Go to properties and select ArrayRow. In the new Expression Editor window type the following:

{nothing, “Jerry”, “[email protected]}

The first value of the array is nothing because I have configured the Id column to be auto-incremented. The other values represent the remaining DataTable columns Name and Email.

Also, select customerDT variable as DataTable.

Add Data Row configuration
Display Data Table

Update specific DataRow

To update the value of a DataRow I am going to perform 2 assign operations. First, I am going to identify a specific row using the Select method (where Id = 3), then I am going to pick the Name column and assign it a new value.

customerDR = customerDT.Select(“Id=3”).FirstOrDefault()

customerDR(“Name”) = “The name was recently updated”

Update Data Row
Message box Data Table

Delete/remove specific DataRow

Search for Remove Data Row activity and add it after the Assign activities.

Remove Data Row

Go to properties and set the DataTable as customerDT. Then set the Row. On the new Expression Editor window type the following:

customerDT.Select(“Id=2”).FirstOrDefault()

I am using the same Select method to uniquely identify the row I want to delete.

Remove Data Row configuration

The second row was deleted.

Message Box

Conclusion

UiPath provides out of the box functionalities to manipulate DataTables. From this article, you learned how to create a new DataTable and how to insert default values. Secondly, you learned how to insert a new DataRow to an existing DataTable. Thirdly, you learned how to update the values of a specific DataRow. And the last one, you learned how to delete a DataRow. Now, after you mastered all these operations, you can build powerful and complex automation using DataTables.

Download the solution

Click on the button below to download the source of the demo (DataTable Operations).

Download the UiPath Automation
Sours: https://rpageek.com/datatable-operations-in-uipath/

Datatables uipath join

You are currently viewing How to merge columns from two different DataTables in UiPath

On my YouTube Channel, https://youtube.com/c/andersjensenorg, I got a great question from Damaneed, a subscriber, in where he wants to merge columns from two different DataTables.

I solved it in the video here and if you want the workflow files check below:

Download the workflow files: https://1drv.ms/u/s!Al9RjoWZcShJib0DhslDDeh42_BNAg?e=YPcugI

I’ve updated the workflow afterwards, since Damandeep wanted a solution, where we only update columns to Sheet1 from Sheet2, if that column name is not in Sheet1. You can find the updated workflow files here: https://1drv.ms/u/s!Al9RjoWZcShJib5e-dWh2WZwpqPaTw?e=MKVaYu

Tags: datatable,qa,tutorial,uipath

Post author avatar

Anders Jensen

RPA DEVELOPER, YOUTUBER & UIPATH MOST VALUED PROFESSIONAL 2021 Anders Jensen is the RPA Lead at Lessor A/S (Part of Paychex Inc) and an advanced certified UiPath RPA Instructor. Using his extensive experience in automating interfaces such as Windows, SAP, and browsers, Anders develops enterprise RPA solutions automating work for customers and colleagues one task at a time. In the evenings and weekends, Anders is passionate about teaching others RPA by making instructional videos on his YouTube channel.

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Sours: https://andersjensen.org/how-to-merge-columns-from-two-different-datatables-in-uipath/
How to Merge Two Data Table in UiPath

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