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Merge pull request #102132 from yihezkel/patch-17
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articles/event-hubs/includes/event-hubs-partition-count.md

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As [partition](../event-hubs-features.md#partitions) is a data organization mechanism that allows you to publish and consume data in a parallel manner, we recommend that you balance scaling units (TUs, PUs or CUs) and partitions to achieve optimal scale. In general we recommend users to maintain a maximum throughput of 1 MB/s per partition and choose the partition count to match the maximum throughput you want to handle. For example, if your use case requires 20 MB/s, it is recommended to choose at least 20 partitions to achieve the optimal throughput.
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However, if you have a model in which your application has an affinity to a particular partition, increasing the number of partitions may not be of any benefit to you. For more information, see [availability and consistency](../event-hubs-availability-and-consistency.md).
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As [partition](../event-hubs-features.md#partitions) is a data organization mechanism that allows you to publish and consume data in a parallel manner, we recommend that you balance scaling units (TUs, PUs or CUs) and partitions to achieve optimal scale. In general, we recommend a maximum throughput of 1 MB/s per partition. Therefore, a rule of thumb for calculating the number of partitions would be to divide the maximum expected throughput by 1 MB/s. For example, if your use case requires 20 MB/s, it is recommended to choose at least 20 partitions to achieve the optimal throughput.
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However, if you have a model in which your application has an affinity to a particular partition, increasing the number of partitions may not be beneficial. For more information, see [availability and consistency](../event-hubs-availability-and-consistency.md).

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