When working with Amazon’s Redshift for the first time, it doesn’t take long to realize it’s different from other relational databases. You have new options like COPY and UNLOAD, and you lose familiar helpers like key constraints. You can work faster with larger sets of data than you ever could with a traditional database, but there’s a learning curve to get the most out of it.
One area we struggled with when getting started was unhelpful disk full errors, especially when we knew we had disk space to spare. Over the last year, we’ve collected a number of resources on how to manage disk space in Redshift. We’ll share what we’ve learned to help you quickly debug your own Redshift cluster and get the most out of it.
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