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README.md

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@@ -29,7 +29,7 @@ The second limiter is dynamically configured based on the number of connections
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The limiter will control the number of cql request per second but expects the table to have proper capacity defined to achieve utilization.
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This is a blocking implementation, but has a configurable timeout.
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The most well-known use-case for this type of rate limiter is bulk loading data at consistent rates or batch processing. In the image below we are able to utilize 100 percent of the table's capacity without error by fixing the request rate to the table write capacity. The workload gradually stepped up throughput level all the way up to 3x the request rate of the table's provisioned capacity. Additionally, since the rate limiter allows for bursting, we are able to use burst capacity of the table that can accrue when provisioned capacity is not fully utilized. Eventually, the blue line for provision capacity and the green line for provisioned capacity are one to one. The fixed are limiter can also be used with On-Demand Capacity Tables to fit within current account specific table quotas.
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A well-known use-case for this type of rate limiter is bulk loading data at consistent rates or batch processing. In the image below we are able to utilize 100 percent of the table's capacity without error by fixing the request rate to the table write capacity. The workload that produced this graph gradually stepped up request per second periodically up to 3x the request rate of the table's provisioned capacity. Additionally, since the rate limiter allows for bursting, we are able to use burst capacity of the provisioned table that can accrue when provisioned capacity is not fully utilized. Eventually, the blue line for provision capacity and the green line for provisioned capacity are one to one. The fixed rate limiter can also be used with On-Demand Capacity Tables to fit within current soft table quota for the account.
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![Rate Limiting](/static/images/RateLimiting.png)
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