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Add support of insert by rows (#1434)
Signed-off-by: zhenshan.cao <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| import time | ||
| import numpy as np | ||
| from pymilvus import ( | ||
| connections, | ||
| utility, | ||
| FieldSchema, CollectionSchema, DataType, | ||
| Collection, | ||
| ) | ||
|
|
||
| fmt = "\n=== {:30} ===\n" | ||
| dim = 8 | ||
|
|
||
| print(fmt.format("start connecting to Milvus")) | ||
| connections.connect("default", host="localhost", port="19530") | ||
|
|
||
| has = utility.has_collection("hello_milvus") | ||
| print(f"Does collection hello_milvus exist in Milvus: {has}") | ||
| if has: | ||
| utility.drop_collection("hello_milvus") | ||
|
|
||
| fields = [ | ||
| FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100), | ||
| FieldSchema(name="random", dtype=DataType.DOUBLE), | ||
| FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim) | ||
| ] | ||
|
|
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| schema = CollectionSchema(fields, "hello_milvus is the simplest demo to introduce the APIs", enable_dynamic_field=True) | ||
|
|
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| print(fmt.format("Create collection `hello_milvus`")) | ||
| hello_milvus = Collection("hello_milvus", schema, consistency_level="Strong") | ||
|
|
||
| ################################################################################ | ||
| # 3. insert data | ||
| hello_milvus2 = Collection("hello_milvus") | ||
| print(fmt.format("Start inserting entities")) | ||
| rng = np.random.default_rng(seed=19530) | ||
|
|
||
| rows = [ | ||
| {"pk": "1", "random": 1.0, "embeddings": rng.random((1, dim))[0], "a": 1}, | ||
| {"pk": "2", "random": 1.0, "embeddings": rng.random((1, dim))[0], "b": 1}, | ||
| {"pk": "3", "random": 1.0, "embeddings": rng.random((1, dim))[0], "c": 1}, | ||
| {"pk": "4", "random": 1.0, "embeddings": rng.random((1, dim))[0], "d": 1}, | ||
| {"pk": "5", "random": 1.0, "embeddings": rng.random((1, dim))[0], "e": 1}, | ||
| {"pk": "6", "random": 1.0, "embeddings": rng.random((1, dim))[0], "f": 1}, | ||
| ] | ||
|
|
||
| insert_result = hello_milvus.insert(rows) | ||
|
|
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| hello_milvus.insert({"pk": "7", "random": 1.0, "embeddings": rng.random((1, dim))[0], "g": 1}) | ||
| hello_milvus.flush() | ||
| print(f"Number of entities in Milvus: {hello_milvus.num_entities}") # check the num_entites | ||
|
|
||
| # 4. create index | ||
| print(fmt.format("Start Creating index IVF_FLAT")) | ||
| index = { | ||
| "index_type": "IVF_FLAT", | ||
| "metric_type": "L2", | ||
| "params": {"nlist": 128}, | ||
| } | ||
|
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| hello_milvus.create_index("embeddings", index) | ||
|
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||
| print(fmt.format("Start loading")) | ||
| hello_milvus.load() | ||
| # ----------------------------------------------------------------------------- | ||
| # search based on vector similarity | ||
| print(fmt.format("Start searching based on vector similarity")) | ||
|
|
||
| rng = np.random.default_rng(seed=19530) | ||
| vectors_to_search = rng.random((1, dim)) | ||
| search_params = { | ||
| "metric_type": "L2", | ||
| "params": {"nprobe": 10}, | ||
| } | ||
|
|
||
| start_time = time.time() | ||
| result = hello_milvus.search(vectors_to_search, "embeddings", search_params, limit=3, output_fields=["pk", "embeddings"]) | ||
| end_time = time.time() | ||
|
|
||
| for hits in result: | ||
| for hit in hits: | ||
| print(f"hit: {hit}") | ||
|
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|
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| result = hello_milvus.search(vectors_to_search, "embeddings", search_params, limit=3, output_fields=["pk", "embeddings", "$meta"]) | ||
| for hits in result: | ||
| for hit in hits: | ||
| print(f"hit: {hit}") | ||
|
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| expr = f'pk in ["1" , "2"] || g == 1' | ||
|
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| print(fmt.format(f"Start query with expr `{expr}`")) | ||
| result = hello_milvus.query(expr=expr, output_fields=["random", "a", "g"]) | ||
| for hit in result: | ||
| print("hit:", hit) | ||
|
|
||
| ############################################################################### | ||
| # 7. drop collection | ||
| print(fmt.format("Drop collection `hello_milvus`")) | ||
| utility.drop_collection("hello_milvus") |
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