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docs/integrations/data-ingestion/clickpipes/kafka/04_best_practices.md

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@@ -137,7 +137,7 @@ Below are some informal benchmarks for ClickPipes for Kafka that can be used get
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Benchmark details:
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- We used production ClickHouse Cloud services with enough resources to ensure that throughput was not bottlenecked by the insert processing on the ClickHouse side.
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- The ClickHouse Cloud service, the Kafka cluster (confluent), and the ClickPipe were all running in the same region (us-east-2).
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- The ClickHouse Cloud service, the Kafka cluster (Confluent Cloud), and the ClickPipe were all running in the same region (us-east-2).
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- The ClickPipe was configured with a single consumer.
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- The sample data included nested data with a mix of uuid, string, and integer datatypes.
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- Other datatypes, such as floats may be less performant.

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