JSON parsers related to redshift have more problems to deal with. I'm using CSV files for most of the test runs because I faced a limitation of 4MB while dealing with JSON formats. The format of the file which you are trying to copy also plays an important role in fixing the issues related to the COPY command. The COPY command is authorized to access the Amazon S3 bucket through an AWS Identity and Access Management (IAM) role. Solution 2.2: First COPY all the underlying tables, and then CREATE VIEW on Redshift. You can also unload using SSE-KMS or client-side encryption with a customer managed. The UNLOAD command automatically encrypts files using SSE-S3. Solution 2.2: First COPY all the underlying tables, and then CREATE VIEW on Redshift. For more information about Amazon S3 encryption, see Protecting Data Using Server-Side Encryption and Protecting Data Using Client-Side Encryption in the Amazon Simple Storage Service User Guide. The source spark dataframe shows the field as datetime64 and converted to pandas it is timestamp. Solution 2.1: Create views as a table and then COPY, if you don’t care its either a view or a table on Redshift. The related field in the table in Redshift is defined as date. The file contains a column with dates in format. Solution 2.1: Create views as a table and then COPY, if you don't care its either a view or a table on Redshift. parquet file with COPY command from S3 into my Redshift database. Views cannot be loaded with the COPY command. I have tried copying views directly to Redshift from S3, which resulted in below error: Problem 2: Redshift doesn't support materialized views. Solution 1.2: Using ESCAPE, and remove quotes should work as well

Solution 1.1: As the issue is with comma as a delimiter, I have specified the file format as CSV and ignored the headers. As we know the delimiter for any CSV file will be comma separators, but the problem on keeping this as a delimiter is that it will fail with below error if the data also have commas in it.Įrror Code: 1213, Error Description: Missing data for not-null fieldĪWS Documentation link that helped in solving this issue: Problem 1: Faced issue with delimiters on CSV file. COPY all the data for a currency into the table leaving the 'currency' column NULL. Since the S3 key contains the currency name it would be fairly easy to script this up. I'm writing this post to log all errors related to the COPY command that I faced which might help others in saving their time.Ĭopy command that I have used for a while: Perform N COPYs (one per currency) and manually set the currency column to the correct value with each COPY. Make sure the schema for Redshift table is created before running your COPY command. We use s3 COPY command to move data from S3 to Redshift table.

Aborted redshift copy command from s3