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Use a multi-row insert - Amazon Redshift
DocumentationAmazon RedshiftDatabase Developer Guide

Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025. If you would like to use Python UDFs, create the UDFs prior to that date. Existing Python UDFs will continue to function as normal. For more information, see the blog post.

Use a multi-row insert

If a COPY command is not an option and you require SQL inserts, use a multi-row insert whenever possible. Data compression is inefficient when you add data only one row or a few rows at a time.

Multi-row inserts improve performance by batching up a series of inserts. The following example inserts three rows into a four-column table using a single INSERT statement. This is still a small insert, shown simply to illustrate the syntax of a multi-row insert.

insert into category_stage values(default, default, default, default),(20, default, 'Country', default),(21, 'Concerts', 'Rock', default);

For more details and examples, seeINSERT.

Verify data files before and after a load
Use a bulk insert

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