![]() ![]() Expected Downstream Snaps: The Snap will output a single document for the entire bulk load operation which contains the count of records inserted into the targeted table as well as the count of failed records.The Mapper Snap will provide the target schema, which reflects the schema of the table that is selected for the Redshift Bulk Load Snap. Expected Upstream Snaps: The columns of the selected table need to be mapped upstream using a Mapper Snap.Any error occurring during the process is routed to the error view. ![]() Output: The Snap outputs one document specifying the status, with the records count that are being inserted into the table and also the failure record count. Input: This Snap can have an upstream Snap that can pass a document output view. The documents that are provided on the input view will be inserted into the provided table on the provided database. This Snap executes a Load function with the given properties. The extra view in the Select and Bulk Load Snaps are used to pass metadata about the table, effectively allowing you to replicate a table from one database to another. If you would like the table to be created with the same schema as a source table, you can connect the second output view of a Select Snap to the second input view of this Snap. If the table does not exist when the Snap tries to do the load, and the Create table property is set, the table will be created with the columns and data types required to hold the values in the first input document. ![]() Then the Redshift copy command is used to insert data into the target table. The input data is first written to a staging file on S3. ![]()
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