![]() A rule of thumb is to multiply the part size by 10 to get the memory requirement. ![]() Note, a larger part size will result in larger memory requirements. This is 10MB by default, resulting in a default table limit of 100GB. As S3 has a limit of 10,000 parts per file, part size affects the table size. This determines the size of each part, in MBs. Increase this if syncing tables larger than 100GB. Affects the size limit of an individual Redshift table.This user will require read and write permissions to objects in the staging bucket. We recommend creating an Airbyte-specific user.See this on how to generate an access key.Place the S3 bucket and the Redshift cluster in the same region to save on networking costs.Requires an S3 bucket and credentials.Īirbyte automatically picks an approach depending on the given configuration - if S3 configuration is present, Airbyte will use the COPY strategy and vice versa. This is the recommended loading approach described by Redshift best practices. COPY: Replicates data by first uploading data to an S3 bucket and issuing a COPY command.This database needs to exist within the cluster provided.Not recommended for production workloads as this does not scale well. This is built on top of the destination-jdbc code base and is configured to rely on JDBC 4.2 standard drivers provided by Amazon via Mulesoft here as described in Redshift documentation here. ![]()
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