![]() If you select a Redshift Spectrum table with columns that are of DECIMAL data type, you might encounter the following error: S3 Query Exception (Fetch). Mismatched column definitions result in a data incompatibility error. The column type in the CREATE EXTERNAL TABLE definition must match the column type of the data file. Note: For columnar file formats such as Apache Parquet, the column type is embedded with the data. ![]() This query checks the data type of the column in the CREATE EXTERNAL TABLE definition. Run the following query for the SVV_EXTERNAL_COLUMNS view: select * from SVV_EXTERNAL_COLUMNS where schemaname = '' and tablename = '' The column definition must match the columnar file format of the Apache Parquet file.ĥ. (Optional) If the column definition in the Apache Parquet file differs from the external table, modify the column definition in the external table. FSPCheck the schema of your external file, and then compare it with the column definition in the CREATE EXTERNAL TABLE definition.Ĥ. The error description explains the data incompatibility between Redshift Spectrum and the external file.ģ. ![]() Check the Message column to view the error description. Retrieve the complete error message from the SVL_S3LOG system view: select * from SVL_S3LOG where query = '' Ī mismatch in incompatible Parquet schema produces the following error message: File ' has an incompatible Parquet schema for column ‘s3://s3bucket/l1'. To resolve your incompatible data format error in Redshift Spectrum, perform the following steps:ġ. Resolution Incompatible data format error ![]()
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