Create an IAM role in the account that's using Amazon S3 (RoleA)Ģ. If they're in different Regions, then you must add the REGION parameter to the COPY or UNLOAD command. Note: The following steps assume that the Amazon Redshift cluster and the S3 bucket are in the same Region. My customer has a 2 - 4 nodes of dc2.8 xlarge Redshift cluster and they want to export data to parquet in the optimal size (1GB) per file with option. For example, if you're using the Parquet data format, your syntax looks like this: copy table_name from 's3://awsexamplebucket/crosscopy1.csv' iam_role 'arn:aws:iam::Amazon_Redshift_Account_ID:role/RoleB,arn:aws:iam::Amazon_S3_Account_ID:role/RoleA format as parquet Resolution However, there might be some changes in the COPY and UNLOAD command syntax while performing these operations. Note: These steps work regardless of your data format. Test the cross-account access between RoleA and RoleB. The UNLOAD documentation does not show Parquet or Avro as output formats. I saw today, AWS has recently added the support to unload data by specifying the format.
Create RoleB, an IAM role in the Amazon Redshift account with permissions to assume RoleA.ģ. UNLOAD ('select-statement') TO 's3://object-path/name-prefix' FORMAT PARQUET. Unloads the result of a query to one or more text, JSON, or Apache Parquet files on Amazon S3, using Amazon S3 server-side encryption (SSE-S3). Create RoleA, an IAM role in the Amazon S3 account.Ģ. You have AWS CLI installed and configured to use with your AWS account.
#Redshift unload parquet code#
Because bucket names are unique across AWS accounts, replace eltblogpost with your unique bucket name as applicable in the sample code provided. Not all options are guaranteed to work as some options might conflict. The following diagram illustrates this architecture. extraunloadoptions: No: N/A: Extra options to append to the Redshift UNLOAD command. The Amazon Redshift Data API enables you to painlessly access data from Amazon Redshift with all types of traditional, cloud-native, and containerized, serverless web service-based applications and event-driven applications. Valid options are Parquet and Text, which specifies to unload query results in the pipe-delimited text format.
These steps apply to both Redshift Serverless and Redshift provisioned data warehouse:ġ. You have an existing Amazon S3 bucket named eltblogpost in your data lake to store unloaded data from Amazon Redshift. unloads3format: No: Parquet: The format with which to unload query results. To access Amazon S3 resources that are in a different account from where Amazon Redshift is in use, perform the following steps.
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