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Add benchmark script for comparing Gremlin, OpenCypher, and SQL query performance
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# ArcadeDB MSMARCO MSMARCO-8M (1000 queries, Recall@50)
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| heap | quantization | store_vectors_in_graph | add_hierarchy | max_connections | beam_width | overquery_factor | batch_size | load_corpus_s | load_corpus_rss_mb | ingest_s | ingest_rss_mb | create_index_s | create_index_rss_mb | build_graph_now_s | build_graph_now_rss_mb | warmup_s | warmup_rss_mb | search_s | search_rss_mb | recall@50_before_close | close_db_s | close_db_rss_mb | open_db_s | open_db_rss_mb | warmup_after_reopen_s | warmup_after_reopen_rss_mb | search_after_reopen_s | search_after_reopen_rss_mb | recall@50_after_reopen | peak_rss_mb | db_size_mb | total_duration |
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|:-------|:---------------|:-------------------------|:----------------|------------------:|-------------:|-------------------:|-------------:|----------------:|---------------------:|-----------:|----------------:|-----------------:|----------------------:|--------------------:|-------------------------:|-----------:|----------------:|-----------:|----------------:|-------------------------:|-------------:|------------------:|------------:|-----------------:|------------------------:|-----------------------------:|------------------------:|-----------------------------:|-------------------------:|--------------:|-------------:|:-----------------|
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| 32g | INT8 | False | True | 16 | 100 | 1 | 10000 | 0 | 0 | 620.635 | 24175.7 | 179.458 | 3076.86 | 19634.6 | 5289.48 | 0.125 | 0.957 | 31.232 | 50.98 | 0.9118 | 0.037 | 0.289 | 37.227 | 112.027 | 16.068 | 10.914 | 31.235 | 28.145 | 0.9117 | 33592.9 | 54024.1 | 5h 42m 31.988s |

bindings/python/examples/benchmark_gremlin_vs_opencypher.py renamed to bindings/python/examples/sql_benchmark_gremlin_vs_opencypher.py

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