What is Cassandra stress tool?
cassandra-stress is a tool for benchmarking and load testing a Scylla and Cassandra clusters. cassandra-stress supports testing arbitrary CQL tables and queries to allow users to benchmark their data model. This documentation focuses on user mode as this allows the testing of your actual schema.
Why is Cassandra used for?
Why use Apache Cassandra – modernise your cloud Time-series data: Cassandra excels at storing time-series data, where old data does not need to be updated. Globally-distributed data: Geographically distributed data where a local Cassandra cluster can store data and then reach consistency at later points.
How do I test my Cassandra performance?
Here we show how to stress test a Cassandra cluster using the cassandra-stress tool….The test works like this:
- Insert random data.
- Run select statements using the values generated.
- Calculate the time in milliseconds to run each operation.
- Calculate the mean time, standard deviations number of garbage collections etc.
What is cassandra testing?
A Java-based stress testing utility for basic benchmarking and load testing a Cassandra cluster. The cassandra-stress tool is a Java-based stress testing utility for basic benchmarking and load testing a Cassandra cluster. Data modeling choices can greatly affect application performance.
How fast is cassandra?
Mixed Workload – 50% reads and 50% writes
| Metric | Scylla 4.4.3 | Cassandra 4.0 |
|---|---|---|
| Maximum throughput | 90k/s | 40k/s |
| Maximum throughput with 90% latency <10ms | 80k/s | 30k/s |
| Maximum throughput with 99% latency <10ms | 60k/s | 20k/s |
How do I find the query execution time in Cassandra?
3 Answers. You can use tracing in cqlsh. It provides time-stamps for each stage of the query, with millisecond precision. If you want to analyze the query execution time / read performance in Cassandra you can find following stats helpful.
When use Cassandra vs MySQL?
Most businesses use Cassandra for write-heavy workloads in the field of Data Science whereas MySQL is preferred for all other types of workloads. Hopefully, this would give you the knowledge to choose the right database according to your needs.