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Remove ESQL challenge (#483)
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@gbanasiak
gbanasiak authored Oct 23, 2023
1 parent 2499805 commit 891a8e3
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233 changes: 0 additions & 233 deletions nyc_taxis/challenges/default.json
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Expand Up @@ -704,239 +704,6 @@
}
]
},
{
"name": "esql",
"description": "Performance benchmarks for internal R&D on query languages. This is work in progress",
"default": false,
"schedule": [
{
"operation": "delete-index",
"tags": ["setup"]
},
{
"operation": {
"operation-type": "create-index",
"settings": {%- if index_settings is defined %} {{index_settings | tojson}} {%- else %} {
"index.codec": "best_compression",
"index.refresh_interval": "30s",
"index.translog.flush_threshold_size": "4g"
}{%- endif %}
},
"tags": ["setup"]
},
{
"name": "check-cluster-health",
"operation": {
"operation-type": "cluster-health",
"index": "nyc_taxis",
"request-params": {
"wait_for_status": "{{cluster_health | default('green')}}",
"wait_for_no_relocating_shards": "true"
},
"retry-until-success": true
},
"tags": ["setup"]
},
{
"operation": "index",
"warmup-time-period": 240,
"clients": {{bulk_indexing_clients | default(8)}},
"ignore-response-error-level": "{{error_level | default('non-fatal')}}",
"tags": ["setup"]
},
{
"name": "refresh-after-index",
"operation": "refresh",
"tags": ["setup"]
},
{
"operation": "avg_passenger_count_aggregation",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_passenger_count_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_passenger_count_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_passenger_count_filtered_aggregation",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_passenger_count_filtered_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_passenger_count_filtered_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_tip_percent_aggregation",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_tip_percent_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_tip_percent_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_integer_aggregation",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_integer_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_integer_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_keyword_aggregation",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_keyword_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "avg_amount_group_by_keyword_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "multi_terms-keyword",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "composite_terms-keyword",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "multi_terms-keyword_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "multi_terms-keyword_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "sort_by_ts_query",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "sort_by_ts_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "sort_by_ts_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_calendar_interval",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_calendar_interval_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_calendar_interval_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval_with_metrics_agg",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval_with_metrics_esql_shard_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
},
{
"operation": "date_histogram_fixed_interval_with_metrics_esql_doc_partitioning",
"clients": 1,
"warmup-iterations": 10,
"iterations": 50
}
]
},
{
"name": "update-aggs-only",
"description": "Bulk indexes documents with conflicts and checks the performance of some aggregations",
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