Comments (2)
Hey @mced, sorry for the long wait to reply. This got burried underneath a number of other notifications on my end.
My gut reaction is that Target-Snowflake is already doing small batching on its end so that it can keep track of state, so I'm not entirely sure how much of a benefit just using Snowpipe would get us.
That being said, I would imagine that re-architecting around Snowpipe, could lead to some long term boosts in performance. As of now, we haven't seen much in the way of performance concerns for Target-Snowflake, aside from tuning the batching and whatnot.
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@AlexanderMann I got interested about Snowpipe because that let me feed Snowflake with appended tables while reducing the cost.
Inserting rows directly to Snowflake requires a datawarehouse up and running.
Snowpipe uses gzipped csv files that have been put in a s3 bucket. Thus you don't have to pay the datawarehouse instance during that time.
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Related Issues (11)
- DBT Style Connection Options
- Batching Performance
- Do not flatten nested objects when sending data to Snowflake
- Field quoting issue HOT 1
- Auto-creation of schema HOT 1
- SQL hooks can't execute
- Require S3 bucket to be configured before attempting to use S3
- Remove dependency on pre-installed Postgres libraries
- AttributeError: module 'target_snowflake.sql' has no attribute 'Identifier'
- Validation Error - Not found in other variant of target-snowflake
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