Redshift - Lookup
On this Page
- 1.1 Settings
- 2 Troubleshooting
- 3 Examples
- 3.1 Basic Use Cases
- 3.2 Typical Snap Configurations
- 3.3 Advanced Use Case
- 3.4 Downloads
Snap Type: | Read | |||||||
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Description: | This Snap provides functionality to lookup records in the target Redshift table and return a selected set of fields for every matched record. The Snap executes one request per multiple input documents to avoid making a request for every input record. JSON Path can be used in the Snap properties and will have values from an incoming document substituted into the properties. However, documents missing values for a given JSON path will be written to the Snap's error view. After a query is executed, the query's results are merged into the incoming document. Queries produced by the Snap have the format: SELECT [Output fields] FROM [Table name] WHERE
[C1 = V11 AND C2 = V21 AND...[Cn = Vn1] OR
[C1 = V12 AND C2 = V22 AND...[Cn = Vn2] OR
...................................... OR
[Cn = V1n AND Cm = V2m AND...[Cn = Vnm]The Snap ignores any duplicated lookup condition in the input document stream since it maintains a cache for lookup conditions internally. ETL Transformations & Data FlowThe Snap extracts records from a Redshift table based on the condition configured using input document stream/parameters. Input & Output
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Prerequisites: | [None] | |||||||
Limitations and Known Issues: | Works in Ultra Tasks. | |||||||
Account: | This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See Redshift Account for information on setting up this type of account. | |||||||
Views: |
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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. Selecting a schema filters the Table name list to show only those tables within the selected schema. | |||||||
Table name | Required. Enter or select the name of the table to execute the lookup query on Example: people Default value: [None] | |||||||
Output fields | Required. Enter or select output filed names for SQL SELECT statement. If this property is empty, the Snap selects all fields by executing the statement "SELECT * FROM ...". Example: email, address, first, last Default value: [None] | |||||||
Lookup conditions
| Required. The lookup conditions are created by using the lookup column name and the lookup column value. Each row will build a condition, such aslookupColumn1 = $inputField. Each additional row will be concatenated using a logical AND. All rows together build the lookup condition being used to lookup records in the lookup table. Default value: Not selected | |||||||
Value
| Required. Enter or select the JSON path of the lookup column value. The value will be provided by the input data field.JSON path of the lookup column value. The value will be provided by the input data field. Example: $email, $first, $last Default value: [None] | |||||||
Lookup column name | Required. Enter or select lookup column name. Example: email, first, last, etc. Default value: [None] | |||||||
Pass-through on no lookup match
| When there is no lookup matching an input document, the input document will pass through to the output view if this property is checked. Otherwise, it will be written to the error view as an error condition. Default value: False | |||||||
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) | Specify 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 | |||||||
Snap Execution
Default Value: Validate & Execute | Select an option to specify how the Snap must be executed. Available options are:
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Troubleshooting
Error | Reason | Resolution |
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| This issue occurs due to incompatibilities with the recent upgrade in the Postgres JDBC drivers. | Download the latest 4.1 Amazon Redshift driver here and use this driver in your Redshift Account configuration and retry running the Pipeline. |