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Application Modernization for High-Volume Workloads with DataStax
Executive summary The promise of application modernization DataStax Enterprise overview Solution architecture Performance results Summary Resources Appendix A
Apache Cassandra configuration settings
Other production-level settings
Steps for building and saving the test database
Run the Apache Cassandra benchmarks

Run the Apache Cassandra benchmarks

Home > Workload Solutions > Data Analytics > White Papers > Application Modernization for High-Volume Workloads with DataStax > Run the Apache Cassandra benchmarks

Run the Apache Cassandra benchmarks

  • Perform the following steps to run the Apache Cassandra benchmarks:

    1. Run the following command to benchmark the random 90 percent reads/10 percent writes:

    <CASSANDRA_HOME_DIR>/tools/bin/cassandra-stress user profiile=<CASSANDRA_HOME_DIR>/tools/cqlstress-insanity-example.yaml ops\(insert=10,simple1=90\) cl=ONE duration=10m -mode native cql3 –pop dist=uniform\(1.. total_number_entries >\) -node <node_IP_address> -rate threads=<number_of_client_threads>

    Rate threads are adjusted to a value that gives the maximum throughput for a given SLA.

    1. Run the following command to benchmark the random 10 percent reads/90 percent writes:

    <CASSANDRA_HOME_DIR>/tools/bin/cassandra-stress user profile=<CASSANDRA_HOME_DIR>/tools/cqlstress-insanity-example.yaml ops\(insert=90,simple1=10\) cl=ONE duration=10m -mode native cql3 –pop dist=uniform\(1.. total_number_entries \) -node <node_IP_address> -rate threads=<number_of_client_threads>

    Rate threads are adjusted to a value that gives the maximum throughput for a given SLA.

    1. Run the following command to benchmark the random mix of 50 percent reads/50 percent writes (50 percent read, 50 percent write):

    <CASSANDRA_HOME_DIR>/tools/bin/cassandra-stress user profile=<CASSANDRA_HOME_DIR>/tools/cqlstress-insanity-example.yaml ops\(insert=50,simple1=50\) cl=ONE duration=10m -mode native cql3 –pop dist=uniform\(1.. total_number_entries \) -node <node_IP_address> -rate threads=<number_of_client_threads>