[Child Issue] Exploring Distributed Workload Generation

[IanHoang]

This is a subtask for Distributed Workload Generation Analysis and Scale Testing. For more details on this subtask, see this meta issue.

We're aware that OSB has limitations, but we don't know exactly under what circumstances they occur. For example, it's known that OSB can test single node and small multi node (3,4,5 etc.) OpenSearch clusters. However, when OSB tests a really large cluster (unclear on how large but let's just say 20 nodes), it tends to fail. To combat this, OSB has a feature called Distributed Workload Generation (DWG) which basically allows users to get over that hurdle of testing large 20 node clusters.

Questions

• When using DWG against timeseries workloads, does OSB break up corpora by big chunks and assigns each client a chunk to ingest or do we use many clients and ingest sequentially (i.e. if client finishes first, it picks up the next line of the corpus)?
• How many nodes can we use for DWG? Is it only max 3 nodes?
• What parameters do we need to ensure that users include when using DWG?
• Does running DWG on a single node cluster or small multi node clusters perform better than just using standard OSB (1 node) ?

Test Plan

Each test setup should be run 5 times to get consistent data.

• 1. Run OSB without DWG: Run a single load driver with big5 workload against a large cluster (15+ node cluster). This will be our baseline to understand how OSB distributes the chunks of corpora with a single load driver.
• 2. Run OSB with DWG: Run with two load drivers and one coordinator with big5 workload against a large cluster (15+ node cluster).
• 3. How many DWG nodes can OSB run with: Run with 3 load drivers, then 5 load drivers, and then try 10 load drivers against a large cluster (15+ node cluster).

[IanHoang]

Closing this for now. This is something we might look at in the future once we have a better understanding of scale testing. #555

[gkamat]

Reopening issue, since there is an intention to look into this in more detail after the scale-up investigation has concluded.