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docs structure updates
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@@ -89,9 +89,10 @@ Note the differences between this and the command that we used to generate the s
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appropriately large number of cycles in actual testing to make your main test meaningful.
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:::info
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The cycles parameter is not just a quantity. It is a range of values. The `cycles=n` format is short for `cycles=0..n`,
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which makes cycles a zero-based quantity by default. For example, cycles=5 means that the activity will use cycles
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0,1,2,3,4, but not 5. The reason for this is explained in detail in the Activity Parameters section.
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The cycles parameter is not just a quantity. It is a range of values. The `cycles=n` format is short for
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`cycles=0..n`, which makes cycles a zero-based range. For example, cycles=5 means that the activity will use cycles
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0,1,2,3,4, but
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not 5. The reason for this is explained in detail in the Activity Parameters section.
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:::
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These parameters are explained in detail in the section on _Activity Parameters_.
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@@ -31,12 +31,12 @@ parameter. This is a way of templating a workload and make it multi-purpose or a
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## Experimentation Friendly
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Because the workload YAML format is generic across activity types, it is possible to ask one acivity type to interpret
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the statements that are meant for another. This isn't generally a good idea, but it becomes extremely handy when you
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want to have a very high level activity type like `stdout` use a lower-level syntax like that of the `cql` activity
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type. When you do this, the stdout activity type _plays_ the statements to your console as they would be executed in
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CQL, data bindings and all.
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Because the workload YAML format is generic across driver types, it is possible to ask one driver type to interpret the
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statements that are meant for another. This isn't generally a good idea, but it becomes extremely handy when you want to
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have a high level driver type like `stdout` interpret the syntax of another driver like `cql`. When you do this, the
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stdout activity type _plays_ the statements to your console as they would be executed in CQL, data bindings and all.
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This means you can empirically and substantively demonstrate and verify access patterns, data skew, and other dataset
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details before you change back to cql mode and turn up the settings for a higher scale test.
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details before you change back to cql mode and turn up the settings for a higher scale test. It takes away the guess
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work about what your test is actually doing, and it works for all drivers.
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