Data Sharing longevity test results
Data Sharing longevity test results provide performance benchmarks for Cloudera Data Catalog and Cloudera Iceberg REST Catalog across 72-hour stress tests to measure throughput, error rates, and system stability.
Test environment and dataset
The longevity test was conducted on an AWS Enterprise Data Lake cluster with the following dataset configuration:
| Configuration item | Value |
|---|---|
| Databases | 50 |
| Tables | 100 |
| Columns | 1000 |
| Snapshots | 0 |
| Data Shares | 1000 |
| Tables per Data Share | 5 |
| Users | 200 |
| Users per Data Share | 200 |
| Configuration item | Value |
|---|---|
| Databases | 250 |
| Tables | 20 |
| Columns | 1000 |
| Snapshots | 100 |
| Data Shares | 100 |
| Tables per Data Share | 15 |
| Users per Data Share | 501 |
1 Each user accessed one table from one database up to 50 Data
Shares.
The following table displays the longevity test results for 50 concurrent users on the AWS EDL cluster environment:
| Component | Users or Threads | Duration | Throughput | Total requests | Failed requests | Error % |
|---|---|---|---|---|---|---|
| Cloudera Data Catalog 2 | 50 | 72 hours | 2.03/s | 527373 | 62 | 0.01% |
| Cloudera Iceberg REST Catalog | 50 | 72 hours | 33.90/s | 8787271 | 0 | 0.00% |
2 The default Ranger heap size was
1 GB.
