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User reported that in scenarios involving REPLACE INTO operations on a relatively large table (with hundreds of billions of rows), the performance stops improving once the cluster scales out to a certain number of nodes.
The amount of data being replaced into is about 4 to 5 million rows.
The text was updated successfully, but these errors were encountered:
Summary
User reported that in scenarios involving
REPLACE INTO
operations on a relatively large table (with hundreds of billions of rows), the performance stops improving once the cluster scales out to a certain number of nodes.The amount of data being
replaced into
is about 4 to 5 million rows.The text was updated successfully, but these errors were encountered: