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基本使用 创建具有3维的向量列 CREATE TABLE items (id bigserial PRIMARY KEY, embedding vector(3)); 插入向量 INSERT INTO items (embedding) VALUES ('[1,2,3]'), ('[4
"totalCount": 3, "totalCallSucc": 2, "totalCalledCount": 3, "totalFinishCount": 3, "dailyFinishCount": 3, "dailyCalledCount":
Scan on it3 Index Cond: (c2 = 6) -> Bitmap Index Scan on it3 Index Cond: (c3 = 3)
Index Scan on it3 Index Cond: (c2 = 6) -> Bitmap Index Scan on it3 Index Cond: (c3 = 3) -> Bitmap
transpose(0, 3, 1, 2).astype(np.float32).flatten() ip_2 = (sample_data[2]).transpose(0, 3, 1, 2).astype(np.float32).flatten() ip_3 = (sample_data[3])
transpose(0, 3, 1, 2).astype(np.float32).flatten() ip_2 = (sample_data[2]).transpose(0, 3, 1, 2).astype(np.float32).flatten() ip_3 = (sample_data[3])
from t1 join t2 on t1.col3=t2.col3; 是 - select cast(col2 as varchar) col2,col3 from tb_b; with t1 as (select col1,col3 from tb_a where col1<11)
hll_add 1 2 3 4 5 SELECT hll_empty() || hll_hash_integer(1); ?column? -------------------------- \x128b7f8895a3f5af28cafe (1
hll_add 1 2 3 4 5 SELECT hll_empty() || hll_hash_integer(1); ?column? -------------------------- \x128b7f8895a3f5af28cafe (1
---+---+------ 1 | 1 | 1 1 | 1 | 1 1 | 2 | 3 1 | 3 | 4 2 | 4 | 1 2 | 5 | 2 3 | 6 | 1 (7 rows) openGauss=# DROP TABLE rank_t1;
---+---+------ 1 | 1 | 1 1 | 1 | 1 1 | 2 | 3 1 | 3 | 4 2 | 4 | 1 2 | 5 | 2 3 | 6 | 1 (7 rows) openGauss=# DROP TABLE rank_t1;
"emb": [2, 2]}, {"chunk":2,"emb": [3, 3]}]} {"index":{}} {"id": 3, "embedding": [{"chunk":1,"emb": [3, 3]}, {"chunk":2,"emb": [4, 4]}]} 向量检索
"5b7eb95f59e54981b3aa58998c888c4b", "created": 1705394646748, "choices": [{"message": {"content": "长江"}}]} data:{"id": "5b7eb95f59e54981b3aa58998c888c4b"
"28f61af50fc9452aa0ed5ea25c3cc3d3", "workspace_id" : "909494e3-558e-46b6-a9eb-07a8e18ca620", "project_id" : "909494e3-558e-46b6-a9eb-07a8e18ca62f"
迁移后语法 1 2 3 4 5 SELECT NVL( SUM(A3.DA_CPTL_BAL_YEAR) / NULLIF(V_YEAR_DAYS, 0) ) AS CPTL_BAL_AVE_YR , NVL( NVL(SUM (CASE WHEN A3.OPENACT_DT
描述：计算路径的顶点数。 返回类型：int 示例： 1 2 3 4 5 gaussdb=# SELECT npoints(path '[(0,0),(1,1),(2,0)]') AS RESULT; result -------- 3 (1 row) npoints(polygon)
描述：计算路径的顶点数。 返回类型：int 示例： 1 2 3 4 5 gaussdb=# SELECT npoints(path '[(0,0),(1,1),(2,0)]') AS RESULT; result -------- 3 (1 row) npoints(polygon)
1 2 3 4 5 SELECT area(box '((0,0),(1,1))') AS RESULT; result -------- 1 (1 row) center(object) 描述：计算图形的中心。 返回类型：point 示例： 1 2 3 4 5
1 2 3 4 5 SELECT area(box '((0,0),(1,1))') AS RESULT; result -------- 1 (1 row) center(object) 描述：计算图形的中心。 返回类型：point 示例： 1 2 3 4 5
量或子数组。 一个数组常量的例子如下： 1 '{{1,2,3},{4,5,6},{7,8,9}}' 该常量是一个二维的，3乘3数组，它由3个整数子数组构成。 向表books插入数据并查询表books： 1 2 3 4 5 6 7 8 9 10 11 12 INSERT
