f54973e583
* Added k-nn user guide and samples. Signed-off-by: dblock <dblock@amazon.com> * Added async samples. Signed-off-by: dblock <dblock@amazon.com> * Renamed Lucene Filters with Efficient Filters. Signed-off-by: dblock <dblock@amazon.com> * Fixing TOC from Lucene filters to Efficient filters Signed-off-by: Vacha Shah <vachshah@amazon.com> --------- Signed-off-by: dblock <dblock@amazon.com> Signed-off-by: Vacha Shah <vachshah@amazon.com> Co-authored-by: Vacha Shah <vachshah@amazon.com>
121 lines
3.9 KiB
Python
Executable File
121 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python
|
|
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# The OpenSearch Contributors require contributions made to
|
|
# this file be licensed under the Apache-2.0 license or a
|
|
# compatible open source license.
|
|
|
|
import os
|
|
import random
|
|
|
|
from opensearchpy import OpenSearch, helpers
|
|
|
|
# connect to an instance of OpenSearch
|
|
|
|
host = os.getenv('HOST', default='localhost')
|
|
port = int(os.getenv('PORT', 9200))
|
|
auth = (
|
|
os.getenv('USERNAME', 'admin'),
|
|
os.getenv('PASSWORD', 'admin')
|
|
)
|
|
|
|
client = OpenSearch(
|
|
hosts = [{'host': host, 'port': port}],
|
|
http_auth = auth,
|
|
use_ssl = True,
|
|
verify_certs = False,
|
|
ssl_show_warn = False
|
|
)
|
|
|
|
# check whether an index exists
|
|
index_name = "hotels-index"
|
|
|
|
if not client.indices.exists(index_name):
|
|
client.indices.create(index_name,
|
|
body={
|
|
"settings":{
|
|
"index.knn": True,
|
|
"knn.algo_param.ef_search": 100,
|
|
"number_of_shards": 1,
|
|
"number_of_replicas": 0
|
|
},
|
|
"mappings":{
|
|
"properties": {
|
|
"location": {
|
|
"type": "knn_vector",
|
|
"dimension": 2,
|
|
"method": {
|
|
"name": "hnsw",
|
|
"space_type": "l2",
|
|
"engine": "lucene",
|
|
"parameters": {
|
|
"ef_construction": 100,
|
|
"m": 16
|
|
}
|
|
}
|
|
},
|
|
}
|
|
}
|
|
}
|
|
)
|
|
|
|
# index data
|
|
vectors = [
|
|
{ "_index": "hotels-index", "_id": "1", "location": [5.2, 4.4], "parking" : "true", "rating" : 5 },
|
|
{ "_index": "hotels-index", "_id": "2", "location": [5.2, 3.9], "parking" : "false", "rating" : 4 },
|
|
{ "_index": "hotels-index", "_id": "3", "location": [4.9, 3.4], "parking" : "true", "rating" : 9 },
|
|
{ "_index": "hotels-index", "_id": "4", "location": [4.2, 4.6], "parking" : "false", "rating" : 6},
|
|
{ "_index": "hotels-index", "_id": "5", "location": [3.3, 4.5], "parking" : "true", "rating" : 8 },
|
|
{ "_index": "hotels-index", "_id": "6", "location": [6.4, 3.4], "parking" : "true", "rating" : 9 },
|
|
{ "_index": "hotels-index", "_id": "7", "location": [4.2, 6.2], "parking" : "true", "rating" : 5 },
|
|
{ "_index": "hotels-index", "_id": "8", "location": [2.4, 4.0], "parking" : "true", "rating" : 8 },
|
|
{ "_index": "hotels-index", "_id": "9", "location": [1.4, 3.2], "parking" : "false", "rating" : 5 },
|
|
{ "_index": "hotels-index", "_id": "10", "location": [7.0, 9.9], "parking" : "true", "rating" : 9 },
|
|
{ "_index": "hotels-index", "_id": "11", "location": [3.0, 2.3], "parking" : "false", "rating" : 6 },
|
|
{ "_index": "hotels-index", "_id": "12", "location": [5.0, 1.0], "parking" : "true", "rating" : 3 },
|
|
]
|
|
|
|
helpers.bulk(client, vectors)
|
|
|
|
client.indices.refresh(index=index_name)
|
|
|
|
# search
|
|
search_query = {
|
|
"size": 3,
|
|
"query": {
|
|
"knn": {
|
|
"location": {
|
|
"vector": [5, 4],
|
|
"k": 3,
|
|
"filter": {
|
|
"bool": {
|
|
"must": [
|
|
{
|
|
"range": {
|
|
"rating": {
|
|
"gte": 8,
|
|
"lte": 10
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"term": {
|
|
"parking": "true"
|
|
}
|
|
}
|
|
]
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
results = client.search(index=index_name, body=search_query)
|
|
for hit in results["hits"]["hits"]:
|
|
print(hit)
|
|
|
|
# delete index
|
|
client.indices.delete(index=index_name)
|