mirror of
https://github.com/neondatabase/neon.git
synced 2025-12-26 07:39:58 +00:00
## Problem We want to regularly verify the performance of pgvector HNSW parallel index builds and parallel similarity search using HNSW indexes. The first release that considerably improved the index-build parallelism was pgvector 0.7.0 and we want to make sure that we do not regress by our neon compute VM settings (swap, memory over commit, pg conf etc.) ## Summary of changes Prepare a Neon project with 1 million openAI vector embeddings (vector size 1536). Run HNSW indexing operations in the regression test for the various distance metrics. Run similarity queries using pgbench with 100 concurrent clients. I have also added the relevant metrics to the grafana dashboards pgbench and olape --------- Co-authored-by: Alexander Bayandin <alexander@neon.tech>
48 lines
1.7 KiB
SQL
48 lines
1.7 KiB
SQL
|
|
\set ECHO queries
|
|
\timing
|
|
|
|
-- prepare test table
|
|
DROP TABLE IF EXISTS hnsw_test_table;
|
|
CREATE TABLE hnsw_test_table AS TABLE documents WITH NO DATA;
|
|
INSERT INTO hnsw_test_table SELECT * FROM documents;
|
|
CREATE INDEX ON hnsw_test_table (_id); -- needed later for random tuple queries
|
|
-- tune index build params
|
|
SET max_parallel_maintenance_workers = 7;
|
|
SET maintenance_work_mem = '8GB';
|
|
-- create HNSW index for the supported distance metrics
|
|
CREATE INDEX ON hnsw_test_table USING hnsw (embeddings vector_cosine_ops);
|
|
CREATE INDEX ON hnsw_test_table USING hnsw (embeddings vector_ip_ops);
|
|
CREATE INDEX ON hnsw_test_table USING hnsw (embeddings vector_l1_ops);
|
|
CREATE INDEX ON hnsw_test_table USING hnsw ((binary_quantize(embeddings)::bit(1536)) bit_hamming_ops);
|
|
CREATE INDEX ON hnsw_test_table USING hnsw ((binary_quantize(embeddings)::bit(1536)) bit_jaccard_ops);
|
|
-- note: in a second psql session we can monitor the progress of the index build phases using
|
|
-- the following query:
|
|
-- SELECT phase, round(100.0 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
|
|
|
-- show all indexes built on the table
|
|
SELECT
|
|
idx.relname AS index_name,
|
|
tbl.relname AS table_name,
|
|
am.amname AS access_method,
|
|
a.attname AS column_name,
|
|
opc.opcname AS operator_class
|
|
FROM
|
|
pg_index i
|
|
JOIN
|
|
pg_class idx ON idx.oid = i.indexrelid
|
|
JOIN
|
|
pg_class tbl ON tbl.oid = i.indrelid
|
|
JOIN
|
|
pg_am am ON am.oid = idx.relam
|
|
JOIN
|
|
pg_attribute a ON a.attrelid = tbl.oid AND a.attnum = ANY(i.indkey)
|
|
JOIN
|
|
pg_opclass opc ON opc.oid = i.indclass[0]
|
|
WHERE
|
|
tbl.relname = 'hnsw_test_table'
|
|
AND a.attname = 'embeddings';
|
|
|
|
-- show table sizes
|
|
\dt+
|