id: check_collection.md related_key: collection

summary: Learn how to check collection information in Milvus.

查看 Collection 信息

当前主题介绍如何在 Milvus 中查看 collection 信息。

查看 collection 是否存在

验证 Milvus 中是否存在输入的 collection。

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from pymilvus import utility
utility.has_collection("book")

await milvusClient.collectionManager.hasCollection({
  collection_name: "book",
});

hasColl, err := milvusClient.HasCollection(
    context.Background(), // ctx
    collectionName,       // CollectionName
)
if err != nil {
    log.Fatal("failed to check whether collection exists:", err.Error())
}
log.Println(hasColl)

R<Boolean> respHasCollection = milvusClient.hasCollection(
        HasCollectionParam.newBuilder()
                .withCollectionName("book")
                .build());
if (respHasCollection.getData() == Boolean.TRUE) {
    System.out.println("Collection exists.");
}

describe collection -c book

查看 collection 详细信息

查看输入 collection 的详细信息

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from pymilvus import Collection
collection = Collection("book")  # Get an existing collection.
collection.schema                # Return the schema.CollectionSchema of the collection.
collection.description           # Return the description of the collection.
collection.name                  # Return the name of the collection.
collection.is_empty              # Return the boolean value that indicates if the collection is empty.
collection.num_entities          # Return the number of entities in the collection.
collection.primary_field         # Return the schema.FieldSchema of the primary key field.
collection.partitions            # Return the list[Partition] object.
collection.indexes               # Return the list[Index] object.

await milvusClient.collectionManager.describeCollection({          // Return the name and schema of the collection.
  collection_name: "book",
});
await milvusClient.collectionManager.getCollectionStatistics({     // Return the statistics information of the collection.
  collection_name: "book",
});

collDesc, err := milvusClient.DescribeCollection(               // Return the name and schema of the collection.
    context.Background(),   // ctx
    "book",                 // CollectionName
)
if err != nil {
    log.Fatal("failed to check collection schema:", err.Error())
}
log.Printf("%v\n", collDesc)
collStat, err := milvusClient.GetCollectionStatistics(          // Return the statistics information of the collection.
    context.Background(),   // ctx
    "book",                 // CollectionName
)
if err != nil {
log.Fatal("failed to check collection statistics:", err.Error())
}

R<DescribeCollectionResponse> respDescribeCollection = milvusClient.describeCollection(          // Return the name and schema of the collection.
        DescribeCollectionParam.newBuilder()
                .withCollectionName("book")
                .build());
DescCollResponseWrapper wrapperDescribeCollection = new DescCollResponseWrapper(respDescribeCollection.getData());
System.out.println(wrapperDescribeCollection);
R<GetCollectionStatisticsResponse> respCollectionStatistics = milvusClient.getCollectionStatistics(   // Return the statistics information of the collection.
        GetCollectionStatisticsParam.newBuilder()
                .withCollectionName("book")
                .build());
GetCollStatResponseWrapper wrapperCollectionStatistics = new GetCollStatResponseWrapper(respCollectionStatistics.getData());
System.out.println("Collection row count: " + wrapperCollectionStatistics.getRowCount());

describe collection -c book

列出所有 collection

列出当前 Milvus 实例中的所有 collection。

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from pymilvus import utility
utility.list_collections()

await milvusClient.collectionManager.showCollections();

listColl, err := milvusClient.ListCollections(
    context.Background(),   // ctx
    )
if err != nil {
        log.Fatal("failed to list all collections:", err.Error())
    }
log.Println(listColl)

R<ShowCollectionsResponse> respShowCollections = milvusClient.showCollections(
        ShowCollectionsParam.newBuilder()
                .build());
System.out.println(respShowCollections);

list collections

更多内容

• 了解更多 Milvus 的基本操作：
  • 插入数据
  • 创建 partition
  • 创建索引
  • 进行向量搜索
  • 进行混合搜索
• 探索 Milvus SDK 的 API 参考：
  • PyMilvus API reference
  • Node.js API reference