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Field Name

Field Type

Description

Label*

Default ValueSQL Server- Update
ExampleSQL Server - Update

String

Specify the name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline.

Schema Name

Default Value: N/A
Example: "PUBLIC"

String/Expression

Specify the database schema name. In case it is not defined, then the suggestion for the Table Name will retrieve all tables names of all schemas. The property is suggestible and will retrieve available database schemas during suggest values.

The values can be passed using the pipeline parameters but not the upstream parameter.

Table Name*

Default Value: N/A
Example: Employee

String/Expression

Specify the name of the table in the instance. The table name is suggestible and requires an account setting.

The values can be passed using the pipeline parameters but not the upstream parameter.

Update Condition

Default Value: N/A
Example:

Without using expressions

  • EmpId = 12 

  • email = 'you@example.com'

Using expressions

  • "EMPNO=$EMPNO and ENAME=$EMPNAME"

  • email = $email 

  • emp=$emp

  • "emp='" + $emp + "'"

  • "EMPNO=" + $EMPNO + " and ENAME='" + $EMPNAME+ "'"

Note

Using expressions that join strings together to create SQL queries or conditions has a potential SQL injection risk and is hence unsafe. Ensure that you understand all implications and risks involved before using concatenation of strings with '=' Expression enabled. 

String/Expression

Specify the SQL WHERE clause of the update statement. You can define specific values or columns to update (Set condition) in the upstream Snap, such as Mapper Snap, and then use the WHERE clause to apply these conditions on the columns sourced from the upstream Snap. For instance, here is a sample of an Update SQL query:
UPDATE table_name
SET column1 = value1, column2 = value2,
WHERE condition;

If the Update Condition field is left blank, the condition is applied on all the records of the target table. 

Multiexcerpt include macro
nameOriginal structure_for_primary_key
pageOracle - Update

Refer to the example to understand how to use the Update Condition.

Number of retries

Default Value: 0
Example: 3

Integer/Expression

Specify the maximum number of attempts to be made to receive a response. The request is terminated if the attempts do not result in a response.

Retry interval (seconds)

Default Value: 1
Example: 10

Integer/Expression

Specify the time interval between two successive retry requests. A retry happens only when the previous attempt resulted in an exception. 

Snap Execution

Default Value: Execute only
ExampleValidate & Execute

Dropdown list

Select one of the three modes in which the Snap executes. Available options are:

  • Validate & Execute: Performs limited execution of the Snap, and generates a data preview during Pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime.

  • Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data.

  • Disabled: Disables the Snap and all Snaps that are downstream from it.

Info

TIMESTAMP datatype in SQL Server is not supported. According to the Microsoft official document, "The timestamp syntax is deprecated. This feature will be removed in a future version of Microsoft SQL Server. Avoid using this feature in new development work, and plan to modify applications that currently use this feature."

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Azure SQL - Bulk Load
Azure SQL - Bulk Load
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Examples

Update Data in SQL Server

...

Step 2: Configure the SQL Server - Update Snap to update the dbo table with the specified Update Condition. This updates the city column from vizag (WHERE condition) to Hyderabad, the country column as India, and the product column as AppLE. On validation, the Snap displays a confirmation message indicating that the data was successfully updated in the database.

Example #2

In this example, we will use the well-known Northwind sample database.

Following is a selection from the "Customers" table:

CustomerID

CustomerName

ContactName

Address

City

PostalCode

Country

1
 

Alfreds Futterkiste

Maria Anders

Obere Str. 57

Berlin

12209

Germany

2

Ana Trujillo Emparedados y helados

Ana Trujillo

Avda. de la Constitución 2222

México D.F.

05021

Mexico

3

Antonio Moreno Taquería

Antonio Moreno

Mataderos 2312

México D.F.

05023

Mexico

4
 

Around the Horn

Thomas Hardy

120 Hanover Sq.

London

WA1 1DP

UK

5

Berglunds snabbköp

Christina Berglund

Berguvsvägen 8

Luleå

S-958 22

Sweden
 

Assume we wish to update the customer "Alfreds Futterkiste" with a new contact person and city. 

Enter Customers in the Table name property and CustomerName='Alfreds Futterkiste' in the Update condition property. 

Assume that the Update Snap receives Map data in the input view as follows:

Code Block
{ "ContactName" : "Alfred Schmidt", "City" : "Hamburg" }

When you save and execute the pipeline, the Snap internally formats a standard SQL UPDATE statement as follows:

UPDATE Customers
SET ContactName='Alfred Schmidt', City='Hamburg'
WHERE CustomerName='Alfreds Futterkiste';
 

and submit the request to the database server.
The selection from the "Customers" table will now look like this:

CustomerID

CustomerName

ContactName

Address

City

PostalCode

Country

1
 

Alfreds Futterkiste

Alfred Schmidt

Obere Str. 57

Hamburg

12209

Germany

2

Ana Trujillo Emparedados y helados

Ana Trujillo

Avda. de la Constitución 2222

México D.F.

05021

Mexico

3

Antonio Moreno Taquería

Antonio Moreno

Mataderos 2312

México D.F.

05023

Mexico

4
 

Around the Horn

Thomas Hardy

120 Hanover Sq.

London

WA1 1DP

UK

5

Berglunds snabbköp

Christina Berglund

Berguvsvägen 8

Luleå

S-958 22

Sweden
 

Be careful when updating records. If we had omitted the Update condition property, in the example above, the "Customers" table would have looked like this:

CustomerID

CustomerName

ContactName

Address

City

PostalCode

Country

1
 

Alfreds Futterkiste

Alfred Schmidt

Obere Str. 57

Hamburg

12209

Germany

2

Ana Trujillo Emparedados y helados

Alfred Schmidt

Avda. de la Constitución 2222

Hamburg

05021

Mexico

3

Antonio Moreno Taquería

Alfred Schmidt

Mataderos 2312

Hamburg

05023

Mexico

4
 

Around the Horn

Alfred Schmidt

120 Hanover Sq.

Hamburg

WA1 1DP

UK

5

Berglunds snabbköp

Alfred Schmidt

Berguvsvägen 8

Hamburg

S-958 22

Sweden
 

Downloads

Info
  1. Download and import the Pipeline into SnapLogic.

  2. Configure Snap accounts as applicable.

  3. Provide Pipeline parameters as applicable.

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SQL Server Snap Pack
SQL Server Snap Pack
nameSQL_Server_SPH
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