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Update articles/cosmos-db/sql/throughput-control-spark.md
Co-authored-by: Fabian Meiswinkel <[email protected]>
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articles/cosmos-db/sql/throughput-control-spark.md

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@@ -56,7 +56,7 @@ Within the Spark config of a given application, we can then specify parameters f
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"spark.cosmos.throughputControl.globalControl.container" -> "ThroughputControl"
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```
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In the above example, the `targetThroughputThreshold` is defined as **0.95**, so rate limiting will occur (and requests will be retried) when clients consume more than 95% of the throughput that is allocated to the container. This configuration is stored as a document in the throughput container that looks like the below:
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In the above example, the `targetThroughputThreshold` is defined as **0.95**, so rate limiting will occur (and requests will be retried) when clients consume more than 95% (+/- 5-10 percent) of the throughput that is allocated to the container. This configuration is stored as a document in the throughput container that looks like the below:
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```json
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{

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