要计算Oracle数据库中股票数据价格列表的移动平均值，使用SQL或Java是否更快？_Java_Sql_Oracle

要计算Oracle数据库中股票数据价格列表的移动平均值，使用SQL或Java是否更快？

java sql oracle

要计算Oracle数据库中股票数据价格列表的移动平均值，使用SQL或Java是否更快？,java,sql,oracle,Java,Sql,Oracle,我有一个Oracle数据库，其中有一个包含资产价格数据的表，我想在一个单独的列中计算10天移动平均值使用SQL进行此操作更快吗？还是应该先将数据加载到Java Hashmap/ArrayList中，然后进行计算并将结果传输回Oracle DB 该表如下所示： | ASSET_ID | PRICE | DATE | MA | ----------------------------------------- | 43 | 33.12 | 2018-09-17 | 3

我有一个Oracle数据库，其中有一个包含资产价格数据的表，我想在一个单独的列中计算10天移动平均值

使用SQL进行此操作更快吗？还是应该先将数据加载到Java Hashmap/ArrayList中，然后进行计算并将结果传输回Oracle DB

该表如下所示：

| ASSET_ID | PRICE | DATE       | MA    |
-----------------------------------------
| 43       | 33.12 | 2018-09-17 | 33.05 |
| 43       | 34.02 | 2018-09-18 | 33.07 |
| 43       | 30.22 | 2018-09-19 | 33.01 |
| 43       | 31.52 | 2018-09-20 | 32.85 |

使用

AVG（PRICE）OVER（按资产划分\u id ORDER按“日期”划分，范围介于前10个和后0个之间）

获得移动平均值：

Oracle 11g R2架构设置：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

查询1：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

查询2：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

使用

AVG（PRICE）OVER（按资产划分\u id ORDER按“日期”划分，范围介于前10个和后0个之间）

获得移动平均值：

Oracle 11g R2架构设置：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

查询1：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

查询2：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

：

CREATE TABLE table_name ( ASSET_ID, PRICE, "DATE", MA ) AS
SELECT 43, 33.12, DATE '2018-09-17', CAST( NULL AS NUMBER(8,2) ) FROM DUAL UNION ALL
SELECT 43, 34.02, DATE '2018-09-18', NULL FROM DUAL UNION ALL
SELECT 43, 30.22, DATE '2018-09-19', NULL FROM DUAL UNION ALL
SELECT 43, 31.52, DATE '2018-09-20', NULL FROM DUAL UNION ALL
SELECT 43, 32.52, DATE '2018-09-21', NULL FROM DUAL UNION ALL
SELECT 43, 33.52, DATE '2018-09-22', NULL FROM DUAL UNION ALL
SELECT 43, 34.52, DATE '2018-09-23', NULL FROM DUAL UNION ALL
SELECT 43, 35.52, DATE '2018-09-24', NULL FROM DUAL UNION ALL
SELECT 43, 36.52, DATE '2018-09-25', NULL FROM DUAL UNION ALL
SELECT 43, 37.52, DATE '2018-09-26', NULL FROM DUAL UNION ALL
SELECT 43, 38.52, DATE '2018-09-27', NULL FROM DUAL UNION ALL
SELECT 43, 39.52, DATE '2018-09-28', NULL FROM DUAL UNION ALL
SELECT 43, 40.52, DATE '2018-09-29', NULL FROM DUAL UNION ALL
SELECT 43, 41.52, DATE '2018-09-30', NULL FROM DUAL;

MERGE INTO table_name dst
USING (
  SELECT ROWID rid,
         ROUND(
           AVG( price ) OVER (
             PARTITION BY asset_id
             ORDER BY "DATE"
             RANGE BETWEEN 10 PRECEDING AND 0 FOLLOWING
           ),
           2
         ) AS new_MA
  FROM   table_name
) src
ON ( dst.ROWID = src.rid )
WHEN MATCHED THEN
  UPDATE SET MA = src.new_MA

14 Rows Updated

SELECT *
FROM   table_name

| ASSET_ID | PRICE |                 DATE |    MA |
|----------|-------|----------------------|-------|
|       43 | 33.12 | 2018-09-17T00:00:00Z | 33.12 |
|       43 | 34.02 | 2018-09-18T00:00:00Z | 33.57 |
|       43 | 30.22 | 2018-09-19T00:00:00Z | 32.45 |
|       43 | 31.52 | 2018-09-20T00:00:00Z | 32.22 |
|       43 | 32.52 | 2018-09-21T00:00:00Z | 32.28 |
|       43 | 33.52 | 2018-09-22T00:00:00Z | 32.49 |
|       43 | 34.52 | 2018-09-23T00:00:00Z | 32.78 |
|       43 | 35.52 | 2018-09-24T00:00:00Z | 33.12 |
|       43 | 36.52 | 2018-09-25T00:00:00Z |  33.5 |
|       43 | 37.52 | 2018-09-26T00:00:00Z |  33.9 |
|       43 | 38.52 | 2018-09-27T00:00:00Z | 34.32 |
|       43 | 39.52 | 2018-09-28T00:00:00Z |  34.9 |
|       43 | 40.52 | 2018-09-29T00:00:00Z | 35.49 |
|       43 | 41.52 | 2018-09-30T00:00:00Z | 36.52 |

不需要存储过程：

avg（price）over（按资产划分\u id顺序按“日期”范围介于…）as ma

在数据库端速度更快，因为您可以避免在应用程序端的内存中加载数据。数据库正是这样做的合适位置。它避免了将所有数据传输到java应用程序、为其分配额外内存并再次将其传输回数据库。而且（取决于您的算法），数据库可能能够在一次迭代中进行读取、计算和写入。谢谢您的评论！这是否也适用于更复杂的算法，或者在Oracle中有效地执行的操作是否有限制？这取决于正在执行的操作。例如，您的示例“从数据库中取出一堆数据，旋转它，然后将其发送回数据库”听起来很低效，不是吗？只有当且仅当数据库无法处理该处理时，您才会真正希望移动该数据。但是，如果您从数据库获取数据并最终将其发送到其他地方，则在最高效的地方进行中间处理是有意义的。可以在数据库内部，也可以在检索/接收数据的代码中。简言之：视情况而定！不需要存储过程：

avg（price）over（按资产划分\u id顺序按“日期”范围介于…）as ma

MERGE

语句并在

ROWID

伪列上进行合并。非常感谢！我将更深入地研究合并语句。谢谢你的提示。这只是创建了一个查询结果，实际上并没有修改数据库中的任何内容。是否有一个简单的语句可以将MA列传输到原始表中？“INSETR into table_name（MA）SELECT[…]”返回错误“无法将NULL插入（%s）”即使select语句本身返回一个结果。@DanielMehner已更新-使用

MERGE

语句并在

ROWID

伪列上进行合并。非常感谢！我将深入研究MERGE语句。