mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-24 08:32:02 +00:00
fa635358d2
This code is extremely shameful, don't look at it.
Only goal of this PR is to demonstrate that the analyzer is able to see
vector similarity indexes:
ip-10-19-83-181.eu-central-1.compute.internal :) explain plan indexes=1 SELECT id, vec, L2Distance(vec, [0.0, 2.0])
FROM tab
ORDER BY L2Distance(vec, [0.0, 2.0])
LIMIT 3 settings enable_analyzer = 1
EXPLAIN indexes = 1
SELECT
id,
vec,
L2Distance(vec, [0., 2.])
FROM tab
ORDER BY L2Distance(vec, [0., 2.]) ASC
LIMIT 3
SETTINGS enable_analyzer = 1
Query id: 086df46e-2e27-4342-a47c-6900762a7c8c
┌─explain─────────────────────────────────────────────────────────────────────────────────────────┐
1. │ Expression (Project names) │
2. │ Limit (preliminary LIMIT (without OFFSET)) │
3. │ Sorting (Sorting for ORDER BY) │
4. │ Expression ((Before ORDER BY + (Projection + Change column names to column identifiers))) │
5. │ ReadFromMergeTree (default.tab) │
6. │ Indexes: │
7. │ PrimaryKey │
8. │ Condition: true │
9. │ Parts: 1/1 │
10. │ Granules: 1/1 │
11. │ Skip │
12. │ Name: idx │
13. │ Description: vector_similarity GRANULARITY 100000000 │
14. │ Parts: 1/1 │
15. │ Granules: 1/1 │
└─────────────────────────────────────────────────────────────────────────────────────────────────┘
15 rows in set. Elapsed: 0.007 sec.
|
||
|---|---|---|
| .. | ||
| development | ||
| engines | ||
| getting-started | ||
| interfaces | ||
| operations | ||
| sql-reference | ||