POC for Vespa search engine

[OVI3D0]

Description

Adds POC for Vespa search engine.

Creates a unified abstraction layer for clients + runners and adds vespa client + runners

Benchmarks can be run on Vespa with appropriate configurations + schema for deploying data. Example for nyc_taxis can be found on my fork here: https://github.com/OVI3D0/opensearch-benchmark-workloads/tree/multi-engine

To tell OSB we're running on vespa, we'll use a new --database-type argument. If not provided, OSB will assume we're running against an opensearch cluster. Otherwise, you can tell OSB to benchmark using vespa client + runners by adding --database-type=vespa to your benchmark command.

Issues Resolved

#1000

Testing

• New functionality includes testing

Still seems to be some issues with indexing due to 429 errors but I'm able to run a full benchmark E2E:

|         50th percentile latency |       asc_sort_tip_amount | 445.257 |     ms |
|         90th percentile latency |       asc_sort_tip_amount | 451.081 |     ms |
|         99th percentile latency |       asc_sort_tip_amount | 455.942 |     ms |
|        100th percentile latency |       asc_sort_tip_amount | 457.462 |     ms |
|    50th percentile service time |       asc_sort_tip_amount | 443.405 |     ms |
|    90th percentile service time |       asc_sort_tip_amount | 448.819 |     ms |
|    99th percentile service time |       asc_sort_tip_amount | 453.214 |     ms |
|   100th percentile service time |       asc_sort_tip_amount | 455.017 |     ms |
|                      error rate |       asc_sort_tip_amount |       0 |      % |
|                  Min Throughput | desc_sort_passenger_count |       2 |  ops/s |
|                 Mean Throughput | desc_sort_passenger_count |       2 |  ops/s |
|               Median Throughput | desc_sort_passenger_count |       2 |  ops/s |
|                  Max Throughput | desc_sort_passenger_count |       2 |  ops/s |
|         50th percentile latency | desc_sort_passenger_count |  442.39 |     ms |
|         90th percentile latency | desc_sort_passenger_count |   448.9 |     ms |
|         99th percentile latency | desc_sort_passenger_count | 455.895 |     ms |
|        100th percentile latency | desc_sort_passenger_count |  458.85 |     ms |
|    50th percentile service time | desc_sort_passenger_count | 441.691 |     ms |
|    90th percentile service time | desc_sort_passenger_count | 447.881 |     ms |
|    99th percentile service time | desc_sort_passenger_count | 455.601 |     ms |
|   100th percentile service time | desc_sort_passenger_count | 457.506 |     ms |
|                      error rate | desc_sort_passenger_count |       0 |      % |
|                  Min Throughput |  asc_sort_passenger_count |       2 |  ops/s |
|                 Mean Throughput |  asc_sort_passenger_count |       2 |  ops/s |
|               Median Throughput |  asc_sort_passenger_count |       2 |  ops/s |
|                  Max Throughput |  asc_sort_passenger_count |       2 |  ops/s |
|         50th percentile latency |  asc_sort_passenger_count | 444.853 |     ms |
|         90th percentile latency |  asc_sort_passenger_count | 451.438 |     ms |
|         99th percentile latency |  asc_sort_passenger_count | 456.043 |     ms |
|        100th percentile latency |  asc_sort_passenger_count | 456.173 |     ms |
|    50th percentile service time |  asc_sort_passenger_count | 444.131 |     ms |
|    90th percentile service time |  asc_sort_passenger_count | 450.392 |     ms |
|    99th percentile service time |  asc_sort_passenger_count | 454.949 |     ms |
|   100th percentile service time |  asc_sort_passenger_count | 454.996 |     ms |
|                      error rate |  asc_sort_passenger_count |       0 |      % |

[WARNING] Error rate is 15.97 for operation 'index'. Please check the logs.

-------------------------------------
[INFO] ✅ SUCCESS (took 46034 seconds)
-------------------------------------
[ec2-user@ip-172-31-0-197 ~]$

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