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moved workload docs to their workload locations
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@ -13,11 +13,11 @@ lifecycle. This is a steady-state workload, where inserts are 90% of the operati
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## Named Scenarios
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## Workload Sequence
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### default
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1. schema - Install the schema
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2. rampup - Ramp-Up to steady state for normative density, writes only 100M rows
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3. main - Run at steady state with 10% reads and 90% writes, 100M rows
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The default scenario for cql-iot.yaml runs the conventional test phases: schema, rampup, main
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## Testing Considerations
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For in-depth testing, this workload will take some time to build up data density where TTLs begin purging expired data.
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At this point, the test should be considered steady-state.
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@ -13,12 +13,6 @@ During preload, all keys are set with a value. During the main phase of the work
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population are replaced with new values which never repeat. During the main phase, random partitions are selected for
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upsert, with row values never repeating.
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## Workload Sequence
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1. schema - Initialize the schema.
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2. rampup - Load data according to the data set size.
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3. main - Run the workload
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## Operations
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### insert (rampup, main)
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@ -9,24 +9,6 @@ The CQL Wide Rows workload provides a way to tax a system with wide rows of a gi
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understand underlying performance differences between version and configuration options when using data models that have
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wide rows.
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## Schema
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CREATE KEYSPACE if not exists baselines WITH replication =
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{ 'class': 'NetworkTopologyStrategy', 'dc1': 3 };
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CREATE TABLE if not exists baselines.widerows (
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part text,
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clust text,
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data text,
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PRIMARY KEY (part,clust)
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);
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## Workload Sequence
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1. schema - Install the schema
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2. rampup - Fully populate the widerows with data, 100000 elements per row
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3. main - Run at steady state with 50% reads and 50% writes, 100M rows
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For in-depth testing, this workload needs significant density of partitions in combination with fully populated wide
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rows. For exploratory or parameter contrasting tests, ensure that the rampup phase is configured correctly to establish
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this initial state.
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