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Use this Snap to add the LIMIT clause to the incoming SQL query. The LIMIT clause sets an upper limit on the number of records returned by the SQL query. Additionally, you can also specify an offset value so that the Snap displays the records from the specified offset value up to the number of records based on the specified limit. This Snap also allows you to preview the result of the output query. You can validate the modified query using this preview functionality.

Prerequisites

None.

Limitation

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Input/OutputType of ViewNumber of ViewsExamples of Upstream and Downstream SnapsDescription
Input 

Document

  • Min: 1
  • Max: 1
  • ELT Select
  • ELT Intersect
The SQL query in which you want to add the LIMIT clause.
Output

Document

  • Min: 1
  • Max: 1
  • ELT Copy
  • ELT Insert-Select

The incoming SQL query with the LIMIT clause. 

Snap Settings

Info
titleSQL Functions and Expressions for ELT

You can use the SQL Expressions and Functions supported for ELT to define your Snap or Account settings with the Expression symbol = enabled, where available. This list is common to all target CDWs supported. You can also use other expressions/functions that your target CDW supports.


Parameter NameData TypeDescriptionDefault ValueExample 
LabelString
Insert excerpt
File Writer
File Writer
nopaneltrue
ELT LimitTop 10 Records
Get preview dataCheck box
Multiexcerpt include macro
namegetpreviewdata
pageELT Intersect
Not selectedSelected
ELT LimitIntegerRequired. The maximum number of records to be displayed.N/A3
ELT Limit Offset (Not valid for Azure Synapse and Databricks Lakehouse Platform)Integer

The number of rows from the top that you want to skip. If this field is not configured, then the Snap fetches from the first row of records. For example, if you specify 2 here, then the Snap fetches records from the third row up to the number of rows specified in the ELT Limit field.

Note

This Snap does not support applying an ELT Limit Offset (the value in this field is ignored) when fetching data from an Azure Synapse or a Databricks Lakehouse Platform database.


N/A2

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