Modify the STRING column types to "varchar" with the desired size parameter. For example, you can remove the following fields:Ĥ. Remove any fields that aren't allowed in the UpdateTable action. Open the click-data-table.json file using any text editor and remove the outer ģ. Note: If you receive an error while running an AWS CLI command, be sure to use the most recent version of the AWS CLI.Ģ. Run the following AWS Command Line Interface (AWS CLI) syntax to retrieve and store the AWS Glue table data in a local file: aws glue get-table -region us-east-1 -database gluedb -name click_data_json > click-data-table.json
To resolve the invalid column type error, perform the following steps:ġ. When Redshift Spectrum queries a VARCHAR column defined without a size parameter, the result is an invalid column type error. However, the VARCHAR data type defined by AWS Glue Catalog doesn't include a size parameter (such as VARCHAR (256)). Type: varchar"īoth AWS Glue and Redshift Spectrum support the VARCHAR data type. If you use Redshift Spectrum to query VARCHAR data type columns from an AWS Glue Data Catalog table, you might receive the following error: - Invalid column type for column. For more information, see IAM policies for Amazon Redshift Spectrum. col_n from athena_schema.tablename Īlso, be sure that the AWS Identity and Access Management (IAM) role allows access to Amazon Athena. To resolve the internal error, specify the following column names in the SELECT statement: select col_1, col_2, col_3. Meanwhile, Amazon Athena uses the names of columns to map to fields in the Apache Parquet file. In Redshift Spectrum, column names are matched to Apache Parquet file fields. Note: Although you can import Amazon Athena data catalogs into Redshift Spectrum, running a query might not work in Redshift Spectrum. If you skip this ordering or rearrange any data type column, you receive an internal error. For Apache Parquet files, all files must have the same field orderings as in the external table definition. In Redshift Spectrum, the column ordering in the CREATE EXTERNAL TABLE must match the ordering of the fields in the Parquet file. Column type: BOOLEAN, Parquet schema:\noptional int32 b File ' has an incompatible Parquet schema for column 's3://./tbl.a'. If you select an external schema from an Amazon Athena catalog, you might receive the following error in Redshift Spectrum: Task failed due to an internal error. Therefore, the CREATE EXTERNAL TABLE definition values listed in the c2 column must match the values defined in the Apache Parquet file. In this example, the updated values (in the c2 decimal column) for "precision" and "scale" values are set to 6 and 2, respectively. For example: create external table ext_schema.tablename (c1 int, c2 decimal (6,2)) stored as PARQUET location 's3://././' The table definition must match the "precision" and "scale" values defined in the external file. To resolve the invalid type length error in Redshift Spectrum, use an external table definition. File ‘…/’ has an incompatible Parquet schema for column ‘’ 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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