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Snap type:

Write

Description:

This Snap executes a SQL update with the given properties. Document keys will be used as the columns to update, and their values will be used as the updated value.

Note
Updates will be batched up until the account's batch size property or until the structure of the update statement changes. An update statement will change if an incoming document contains different keys than a previous document.

Prerequisites:

None

Support and limitations: Works in Ultra Pipelines.

Account:

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

Views:

Input

This Snap allows exactly one input view.

Output

This Snap has at most one 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.

Error

This Snap has at most one 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 suggestible 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. The condition to execute an update on.

Note
Instead of building multiple Snaps with inter dependent DML queries, it is recommended we recommend you to use the Oracle - Stored Procedure or the Multi Execute Snap. In a scenario where the downstream Snap does depends on the data processed on an Upstream Database Bulk Load Snap, use the Script Snap to add delay for the data to be available.

Examples:

Multiexcerpt macro

name	ME_DB_Snaps_Query_Examples

Without using expressions

email = 'you@example.com' or email = $email
emp=$emp

Using expressions

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

Caution

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

Default value: [None]

Note
If Batch size in your account is greater than one, do not toggle on the expression button if a dynamic argument needs to be defined referencing several input documents.

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

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

Multiexcerpt include macro

name	Snap Execution
page	SOAP Execute

Multiexcerpt include macro

name	Execution_Detail_Write
page	SOAP Execute

Insert excerpt

	Azure SQL - Bulk Load
	Azure SQL - Bulk Load
nopanel	true

Examples

Expand

title	1. Update a record in a table

In this example, we will update a record in a table.

This example updates a row of data in table TEST_EMPLOYEE which is defined as below:

Code Block
CREATE TABLE "TECTONIC"."TEST_EMPLOYEE" ( "Title" VARCHAR2(4000 BYTE), "Employee_Name" VARCHAR2(4000 BYTE), "Employee_ID" VARCHAR2(4000 BYTE) );

We need to change the Title column of the row that has "Cooper" as Employee_Name to "Senior Software Engineer". First we use a JSON Generator Snap to pass the new data:

Then we set up the table name and the update condition:

This is an example output of the pipeline:

Expand

title	2. Error handling

In this example, we will see how error handling works.

We are using the same pipeline as the one used in Example #1. The difference is this time we try to update the column "Titlee" which doesn't exist in TEST_EMPLOYEE table:

And this is the error message routed to the error view:

Expand

title	3. Northwind sample database

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" }

Code Block
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

Insert excerpt

	Oracle Snap Pack
	Oracle Snap Pack
nopanel	true

Versions Compared

Old Version 29

New Version 30

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