Question

我在SQL Server中有这个表

[ArticleID] - number
[ArticleName] - varchar
[Created_dtm] - date
[Update_dtm] - date

我想获取Created_dtm在Update_dtm之前0,1 - 1.5秒的所有行。

我试过

Select *
from [Article]
Where ([Created_dtm] + 0.1 < [Update_dtm]) or ([Created_dtm] + 1.5 < [Update_dtm])

但它不起作用。我失去了

Answer 1

当您使用public class DisplayListView extends AppCompatActivity { String response; JSONObject jsonObject; JSONArray jsonArray; DrinksAdapter drinksAdapter; ListView listView; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.display_listview_layout); listView = (ListView) findViewById(R.id.listview); drinksAdapter = new DrinksAdapter(this,R.layout.row_layout); listView.setAdapter(drinksAdapter); response = getIntent().getExtras().getString("json_data"); try { jsonObject = new JSONObject(response); jsonArray = new JSONObject(response).getJSONArray("Menu"); //jsonArray = jsonObject.getJSONArray("Menu"); int count = 0; String ime,kolicina,cijena; while(count < jsonArray.length()) { JSONObject JO = jsonArray.getJSONObject(count); ime = JO.getString("ime"); kolicina = JO.getString("kolicina"); cijena = JO.getString("cijena"); Drinks drinks = new Drinks(ime,kolicina,cijena); drinksAdapter.add(drinks); count++; } } catch (JSONException e) { e.printStackTrace(); } listView.setOnItemClickListener(new AdapterView.OnItemClickListener(position) { @Override public void onItemClick(AdapterView<?> adapterView, View view, int i, long l) { Drink drink = adapterView.getItem(i); } }); } }时，特别是在毫秒范围内，您必须非常认识到datetime字段的精确度。在MS SQL中，datetime数据类型仅精确到1/300秒。这意味着高精度将导致一些意外的舍入。这是微软建议使用datetime代替datetime2的主要原因之一。

设置

datetime

在我的例子中，我选择了许多显示舍入问题的边缘日期。这应该IF OBJECT_ID('tempdb..#times') IS NOT NULL DROP TABLE #times ; CREATE TABLE #times ( pickMe varchar(5), Created_dtm datetime, Update_dtm datetime ) ; INSERT INTO #times ( pickMe, Created_dtm, Update_dtm ) VALUES ( 'YES', '9/6/2017 12:00:00.000' , '9/6/2017 12:00:01.250' ) -- 1.25 , ( 'YES', '9/6/2017 12:00:00.000' , '9/6/2017 12:00:00.100' ) -- 0.1 , ( 'YES', '9/6/2017 12:00:00.000' , '9/6/2017 12:00:01.500' ) -- 1.5 , ( 'NO' , '9/6/2017 12:00:00.000' , '9/6/2017 12:00:00.099' ) -- 0.099 , ( 'NO' , '9/6/2017 12:00:00.000' , '9/6/2017 12:00:01.501' ) -- 1.501 , ( 'NO' , '9/6/2017 12:00:00.000' , '9/6/2017 14:00:00.000' ) -- WAY OUT , ( 'YES', '9/6/2017 11:59:59.500' , '9/6/2017 12:00:00.000' ) -- 0.5 , ( 'YES', '9/6/2017 11:59:59.900' , '9/6/2017 12:00:00.000' ) -- 0.1 , ( 'YES', '9/6/2017 11:59:58.500' , '9/6/2017 12:00:00.000' ) -- 1.5 , ( 'NO' , '9/6/2017 11:59:59.901' , '9/6/2017 12:00:00.000' ) -- 0.099 , ( 'NO' , '9/6/2017 11:59:58.499' , '9/6/2017 12:00:00.000' ) -- 1.501 , ( 'NO' , '9/6/2017 10:00:00.000' , '9/6/2017 12:00:00.000' ) -- WAY OUT ;记录的SELECT在Created_dtm之前的.1到1.5秒之间，只有6个。

<强> QUERY

Modified_dtm

返回

SELECT
      DATEDIFF(millisecond,Created_dtm,Update_dtm) AS diff
    , pickMe
    , Created_dtm
    , Update_dtm
FROM #times
WHERE DATEADD(millisecond, 100, Created_dtm) <= update_dtm
    AND DATEADD(millisecond, 1500, Created_dtm) >= Update_dtm

任何包含| diff | pickMe | Created_dtm | Update_dtm | ------------------------------------------------------------------------- | 1250 | YES | 2017-09-06 12:00:00.000 | 2017-09-06 12:00:01.250 | | 100 | YES | 2017-09-06 12:00:00.000 | 2017-09-06 12:00:00.100 | | 1500 | YES | 2017-09-06 12:00:00.000 | 2017-09-06 12:00:01.500 | | 100 | NO | 2017-09-06 12:00:00.000 | **2017-09-06 12:00:00.100** | | 1500 | NO | 2017-09-06 12:00:00.000 | **2017-09-06 12:00:01.500** | | 500 | YES | 2017-09-06 11:59:59.500 | 2017-09-06 12:00:00.000 | | 100 | YES | 2017-09-06 11:59:59.900 | 2017-09-06 12:00:00.000 | | 1500 | YES | 2017-09-06 11:59:58.500 | 2017-09-06 12:00:00.000 | | 100 | NO | **2017-09-06 11:59:59.900** | 2017-09-06 12:00:00.000 | | 1500 | NO | **2017-09-06 11:59:58.500** | 2017-09-06 12:00:00.000 | = PickMe的内容都不应包括在内。另请注意，显示的日期已四舍五入，导致'NO'计算错误。

注意：我讨厌约会。

Answer 2

您可以使用毫秒来执行此操作：

Select *
from [Article]
Where (dateadd(ms, 100, Created_dtm) > [Update_dtm]) and
      (dateadd(ms, 1500, Created_dtm) < [Update_dtm])

或写出时间部分的全名：

Select *
from [Article]
Where dateadd(millisecond, 100, Created_dtm) > [Update_dtm] and
      dateadd(millisecond, 1500, Created_dtm) < [Update_dtm]

Answer 3

另一种选择......

SELECT 
    *,
    SecsDiff = DATEDIFF(ms, td.Created_dtm, td.Update_dtm) / 1000.0
FROM 
    #TestData td
WHERE 
    DATEDIFF(ms, td.Created_dtm, td.Update_dtm) BETWEEN 100 AND 1500;

获取毫秒范围内的日期

3 个答案: