![]() This overhead increases in relation to the number of files queued for loading. load latency).Ĭreating smaller data files and staging them in cloud storage more often than once per minute has the following disadvantages:Ī reduction in latency between staging and loading the data cannot be guaranteed.Īn overhead to manage files in the internal load queue is included in the utilization costs charged for Snowpipe. resources spent on Snowpipe queue management and the actual load) and performance (i.e. This approach typically leads to a good balance between cost (i.e. If it takes longer than one minute to accumulate MBs of data in your source application, consider creating a new (potentially smaller) data file once per minute. Loading data files roughly 100-250 MB in size or larger reduces the overhead charge relative to the amount of total data loaded to the point where the overhead cost is immaterial. Snowpipe charges 0.06 credits per 1000 files queued.įor the most efficient and cost-effective load experience with Snowpipe, we recommend following the file sizing recommendations in File Sizing Best Practices and Limitations (in this topic). In addition to resource consumption, an overhead to manage files in the internal load queue is included in the utilization costs charged for Snowpipe. Snowpipe is designed to load new data typically within a minute after a file notification is sent however, loading can take significantly longer for really large files or in cases where an unusual amount of compute resources is necessary to decompress, decrypt, and transform the new data.
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