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Redshift copy command from s3 parquet8/17/2023 ![]() Only found some issues saying that this may be kinda Redshift Internal Errors.īut for the parquet format and data type, conversion was totally fine. Prerequisite Tasks To use these operators, you must do a few things: Create necessary resources using AWS Console or AWS CLI. Have searched around and asked ChatGPT but I didn't find any similar issues or directions to even find more about the error logs. Use the S3ToRedshiftOperator transfer to copy the data from an Amazon Simple Storage Service (S3) file into an Amazon Redshift table. I have tried to find the logs by query id in the above error message in Redshift by running the command: SELECT * FROM SVL_S3LOG WHERE query = '3514431' īut even cannot locate the detail of the error anywhere. However, I found the DAG run error this morning and the logs are like this: Running statement:Ĭontext: Unreachable - Invalid type: 4000 Note If the table does not exist yet, it will be automatically created for you using the Parquet metadata to infer the columns data types. Upload the Parquet files in S3 to Redshiftįor many weeks it works just fine with the Redshift COPY command like this: TRUNCATE '\n\ Load Parquet files from S3 to a Table on Amazon Redshift (Through COPY command).Extract the tables' schema from Pandas Dataframe to Apache Parquet format.Export all the tables in RDS, convert them to parquet files and upload them to S3. ![]() Not so important here though, I use Apache Airflow to do all the operations for me. I am now trying to load all tables from my AWS RDS (PostgreSQL) to Amazon Redshift. When you load Parquet files into BigQuery, the table schema is automatically retrieved from the self-describing source data. ![]()
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