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Default value: [None]

Snap type:

Write

Description:

This Snap executes a SQL update with the given properties. Keys from the document will be used as the columns to update and their values will be the updated value in the column.

Prerequisites:

[None]

Support and limitations:

Works in Ultra Task Pipelines.
Multiexcerpt include macro
name MySQLKI
page MySQL Snap Pack

Account:

This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See MySQL Account for information on setting up this type of account.

Views:

Input	This Snap has exactly one document input view.
Output	This Snap has at most one document output view. If an output view is available, then the original document that was used to create the statement will be output with the status of the update executed.
Error	This Snap has at most one document error view and produces zero or more documents in the view. Note: Database write Snaps output all records of a batch (as configured in your account settings) to the error view if the write fails during batch processing.

Settings

Label

Required. 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

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 suggestable and will retrieve available database schemas during suggest values.

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

Example: SYS
Default value: [None]

Table name

Required. The name of the table to execute the update operation on.

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

Example: people

Default value: [None]

Update condition

Required. 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;

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

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name	Original structure_for_primary_key
page	Oracle - Update

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

Examples:

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+ "'"

Warning

title	Caution

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.

Number of retries

Specifies 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.

Example: 3

Default value: 0

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name	retries
page	File Reader

Retry interval (seconds)

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

Example: 10

Default value: 1

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name	Snap Execution
page	SOAP Execute

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name	Execution_Detail_Write
page	SOAP Execute

Example

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 a Map data in the input view as following:

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

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

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

Example

In this pipeline, the MySQL Update Snap, updates the record in a table.

The CSV Generator Snap passes the values to be updated to a record on the MySQl Database table. The value for command is set to 2.

The Mapper Snap maps the record PersonID to be updated.

The MySQL Snap updates the table, `pqadb`.`TAM_SAMPLE_PERSONS`. Give an update condition if a specific record needs to be updated only after fulfilling the given condition.

The successful execution of the pipeline displays the below output preview:

Insert excerpt

	MySQL Snap Pack
	MySQL Snap Pack
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Example

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