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<channel>
	<title>Power的部落格 &#187; MSSQL</title>
	<atom:link href="http://www.forpower.com/blog/category/mssql/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.forpower.com/blog</link>
	<description>把夢越作越小了</description>
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		<item>
		<title>MSSQL：日期格式轉換</title>
		<link>http://www.forpower.com/blog/2020/07/28/mssql%ef%bc%9a%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/</link>
		<comments>http://www.forpower.com/blog/2020/07/28/mssql%ef%bc%9a%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/#comments</comments>
		<pubDate>Tue, 28 Jul 2020 08:28:05 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=813</guid>
		<description><![CDATA[SELECT CONVERT(varchar(100), GETDATE(), 0): 05 16 2006 10:57AM SELECT CONVERT(varchar(100), GETDATE(), 1): 05/16/06 SELECT CONVERT(varchar(100), GETDATE(), 2): 06.05.16 SELECT CONVERT(varchar(100), GETDATE(), 3): 16/05/06 SELECT CONVERT(varchar(100), GETDATE(), 4): 16.05.06 SELECT CONVERT(varchar(100), GETDATE(), 5): 16-05-06 SELECT CONVERT(varchar(100), GETDATE(), 6): 16 05 06 &#8230; <a href="http://www.forpower.com/blog/2020/07/28/mssql%ef%bc%9a%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/">繼續閱讀 <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<p><span style="color: #0000ff;">SELECT</span> CONVERT(varchar(100), GETDATE(), 0): 05 16 2006 10:57AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 1): 05/16/06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 2): 06.05.16<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 3): 16/05/06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 4): 16.05.06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 5): 16-05-06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 6): 16 05 06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 7): 05 16, 06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 8): 10:57:46<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 9): 05 16 2006 10:57:46:827AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 10): 05-16-06<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 11): 06/05/16<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 12): 060516<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 13): 16 05 2006 10:57:46:937<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 14): 10:57:46:967<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 20): 2006-05-16 10:57:47<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 21): 2006-05-16 10:57:47.157<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 22): 05/16/06 10:57:47 AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 23): 2006-05-16<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 24): 10:57:47<br />
<span style="color: #0000ff;">SELECT</span> CONVERT(varchar(100), GETDATE(), 25): 2006-05-16 10:57:47.250<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 100): 05 16 2006 10:57AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 101): 05/16/2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 102): 2006.05.16<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 103): 16/05/2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 104): 16.05.2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 105): 16-05-2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 106): 16 05 2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 107): 05 16, 2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 108): 10:57:49<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 109): 05 16 2006 10:57:49:437AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 110): 05-16-2006<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 111): 2006/05/16<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 112): 20060516<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 113): 16 05 2006 10:57:49:513<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 114): 10:57:49:547<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 120): 2006-05-16 10:57:49<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 121): 2006-05-16 10:57:49.700<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 126): 2006-05-16T10:57:49.827<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 130): 18 ???? ?????? 1427 10:57:49:907AM<br />
<span style="color: #0000ff;">SELECT </span>CONVERT(varchar(100), GETDATE(), 131): 18/04/1427 10:57:49:920AM</p>
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			<wfw:commentRss>http://www.forpower.com/blog/2020/07/28/mssql%ef%bc%9a%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SQL Server：Microsoft SQL Server Management Studio 編輯前 N 個資料列</title>
		<link>http://www.forpower.com/blog/2020/04/09/sql-server%ef%bc%9amicrosoft-sql-server-management-studio-%e7%b7%a8%e8%bc%af%e5%89%8d-n-%e5%80%8b%e8%b3%87%e6%96%99%e5%88%97/</link>
		<comments>http://www.forpower.com/blog/2020/04/09/sql-server%ef%bc%9amicrosoft-sql-server-management-studio-%e7%b7%a8%e8%bc%af%e5%89%8d-n-%e5%80%8b%e8%b3%87%e6%96%99%e5%88%97/#comments</comments>
		<pubDate>Thu, 09 Apr 2020 03:16:32 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=760</guid>
		<description><![CDATA[Microsoft SQL Server Management Studio 工具 &#62; 選項 &#62; SQL Server 物件總管 &#62; 命令： 找到 [編輯前 &#60;n&#62; 個資料列]命令的值 預設值：200，若為0則為：編輯所有資料列]]></description>
			<content:encoded><![CDATA[<p><strong>Microsoft SQL Server Management Studio</strong><br />
工具 &gt; 選項 &gt; SQL Server 物件總管 &gt; 命令：<br />
找到 <span style="color: #0000ff;">[編輯前 &lt;n&gt; 個資料列]命令的值</span><br />
預設值：200，若為0則為：編輯所有資料列</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MSSQL 時間戳記與日期格式轉換</title>
		<link>http://www.forpower.com/blog/2018/11/30/mssql-%e6%99%82%e9%96%93%e6%88%b3%e8%a8%98%e8%88%87%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/</link>
		<comments>http://www.forpower.com/blog/2018/11/30/mssql-%e6%99%82%e9%96%93%e6%88%b3%e8%a8%98%e8%88%87%e6%97%a5%e6%9c%9f%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/#comments</comments>
		<pubDate>Fri, 30 Nov 2018 00:34:13 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=683</guid>
		<description><![CDATA[時間戳記轉日期格式 SELECT DATEADD(S, Column, &#8217;1970-01-01 08:00:00&#8242;) 日期格式轉時間戳記 SELECT DATEDIFF(S, &#8217;1970-01-01 08:00:00&#8242;, Column)]]></description>
			<content:encoded><![CDATA[<p>時間戳記轉日期格式<br />
SELECT <strong>DATEADD</strong>(S, <span style="color: #ff0000;">Column</span>, &#8217;1970-01-01 08:00:00&#8242;)</p>
<p>日期格式轉時間戳記<br />
SELECT <strong>DATEDIFF</strong>(S, &#8217;1970-01-01 08:00:00&#8242;, <span style="color: #ff0000;">Column</span>)</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SQL語法查詢資料庫的資料表,資料表的欄位名,資料表的PK欄位</title>
		<link>http://www.forpower.com/blog/2018/11/16/sql%e8%aa%9e%e6%b3%95%e6%9f%a5%e8%a9%a2%e8%b3%87%e6%96%99%e5%ba%ab%e7%9a%84%e8%b3%87%e6%96%99%e8%a1%a8%e8%b3%87%e6%96%99%e8%a1%a8%e7%9a%84%e6%ac%84%e4%bd%8d%e5%90%8d%e8%b3%87%e6%96%99%e8%a1%a8/</link>
		<comments>http://www.forpower.com/blog/2018/11/16/sql%e8%aa%9e%e6%b3%95%e6%9f%a5%e8%a9%a2%e8%b3%87%e6%96%99%e5%ba%ab%e7%9a%84%e8%b3%87%e6%96%99%e8%a1%a8%e8%b3%87%e6%96%99%e8%a1%a8%e7%9a%84%e6%ac%84%e4%bd%8d%e5%90%8d%e8%b3%87%e6%96%99%e8%a1%a8/#comments</comments>
		<pubDate>Fri, 16 Nov 2018 02:12:30 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=679</guid>
		<description><![CDATA[查詢DB所有的資料表 SELECT * FROM INFORMATION_SCHEMA.TABLES ORDER BY TABLE_NAME 查詢資料表欄位資訊 SELECT * FROMINFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = &#8216;TableName&#8217; 查詢資料表的PK欄位 SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.KEY_COLUMN_USAGE WHERE TABLE_NAME = &#8216;TableName&#8217;]]></description>
			<content:encoded><![CDATA[<p><strong>查詢DB所有的資料表<br />
</strong><span style="color: #0000ff;">SELECT</span> * <span style="color: #0000ff;">FROM</span> INFORMATION_SCHEMA.TABLES <span style="color: #0000ff;">ORDER</span> <span style="color: #0000ff;">BY</span> TABLE_NAME</p>
<p><strong>查詢資料表欄位資訊<br />
</strong><span style="color: #0000ff;">SELECT <span style="color: #000000;">*</span></span> <span style="color: #0000ff;">FROM</span>INFORMATION_SCHEMA.COLUMNS <span style="color: #0000ff;">WHERE</span> TABLE_NAME = <span style="color: #ff0000;">&#8216;TableName&#8217;</span></p>
<p><span style="color: #ff0000;"><span style="color: #000000;"><strong>查詢資料表的PK欄位<br />
</strong><span style="color: #0000ff;">SELECT</span> COLUMN_NAME <span style="color: #0000ff;">FROM</span> INFORMATION_SCHEMA.KEY_COLUMN_USAGE <span style="color: #0000ff;">WHERE</span> TABLE_NAME = <span style="color: #ff0000;">&#8216;TableName&#8217;</span></span><br />
</span></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>資料庫定序衝突</title>
		<link>http://www.forpower.com/blog/2018/07/26/%e8%b3%87%e6%96%99%e5%ba%ab%e5%ae%9a%e5%ba%8f%e8%a1%9d%e7%aa%81/</link>
		<comments>http://www.forpower.com/blog/2018/07/26/%e8%b3%87%e6%96%99%e5%ba%ab%e5%ae%9a%e5%ba%8f%e8%a1%9d%e7%aa%81/#comments</comments>
		<pubDate>Thu, 26 Jul 2018 03:46:58 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=672</guid>
		<description><![CDATA[無法解析 equal to 作業中 "Chinese_Taiwan_Stroke_BIN" 與 "Chinese_Taiwan_Stroke_CI_AS" 之間的定序衝突 當 Join 查詢兩個以上不同的資料庫，其定序不一致時就會發生這項錯誤 解決方法： SELECT * FROM DB1.dbo.table1 A, DB2.dbo.table2 B WHERE A.PK1 = (B.PK1 COLLATE Chinese_Taiwan_Stroke_BIN)]]></description>
			<content:encoded><![CDATA[<p><span style="color: #ff0000;">無法解析 equal to 作業中 "Chinese_Taiwan_Stroke_BIN" 與 "Chinese_Taiwan_Stroke_CI_AS" 之間的定序衝突</span></p>
<p>當 Join 查詢兩個以上不同的資料庫，其定序不一致時就會發生這項錯誤</p>
<p>解決方法：<br />
SELECT *<br />
FROM DB1.dbo.table1 A, DB2.dbo.table2 B<br />
WHERE A.PK1 = (B.PK1 <strong><span style="color: #0000ff;">COLLATE </span> <span style="color: #ff0000;">Chinese_Taiwan_Stroke_BIN</span></strong>)</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>PHP：連線MS-SQL資料庫</title>
		<link>http://www.forpower.com/blog/2016/02/26/php%ef%bc%9a%e9%80%8f%e9%81%8eodbc%e9%80%a3%e7%b7%9a%e5%88%b0ms-sql/</link>
		<comments>http://www.forpower.com/blog/2016/02/26/php%ef%bc%9a%e9%80%8f%e9%81%8eodbc%e9%80%a3%e7%b7%9a%e5%88%b0ms-sql/#comments</comments>
		<pubDate>Fri, 26 Feb 2016 06:44:59 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>
		<category><![CDATA[PHP]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=557</guid>
		<description><![CDATA[]]></description>
			<content:encoded><![CDATA[<pre class="brush: php; title: ; notranslate">
$server = &quot;myPC\SQLEXPRESS&quot;;
$database = 'User';
$user = 'sa';
$password = '1234';

//透過ODBC連線到MS-SQL
$conn = odbc_connect(&quot;Driver={SQL Server};Server=$server;Database=$database;&quot;, $user, $password);

//透過Microsoft SQL Server Functions (PDO_SQLSRV)連線到MS-SQL
try {
	$dbh = new PDO(&quot;sqlsrv:Server=$server;Database=$database&quot;, $user, $password);
} catch (PDOException $e) {
    echo &quot;Failed to get DB handle: &quot; . $e-&gt;getMessage() . &quot;\n&quot;;
    exit;
}
</pre>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MSSQL：時間格式轉換</title>
		<link>http://www.forpower.com/blog/2015/11/13/mssql%ef%bc%9a%e6%99%82%e9%96%93%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/</link>
		<comments>http://www.forpower.com/blog/2015/11/13/mssql%ef%bc%9a%e6%99%82%e9%96%93%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/#comments</comments>
		<pubDate>Fri, 13 Nov 2015 01:57:38 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=352</guid>
		<description><![CDATA[SELECT convert(varchar, getdate(), 100) mon dd yyyy hh:mmAM (or PM) Oct 2 2008 11:01AM SELECT convert(varchar, getdate(), 101) mm/dd/yyyy &#8211; 10/02/2008 SELECT convert(varchar, getdate(), 102) yyyy.mm.dd &#8211; 2008.10.02 SELECT convert(varchar, getdate(), 103) dd/mm/yyyy SELECT convert(varchar, getdate(), 104) dd.mm.yyyy SELECT convert(varchar, &#8230; <a href="http://www.forpower.com/blog/2015/11/13/mssql%ef%bc%9a%e6%99%82%e9%96%93%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/">繼續閱讀 <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<table border="1">
<tbody>
<tr>
<td valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">100</span>)</td>
<td>mon dd yyyy hh:mmAM (or PM)</p>
<p>Oct  2 2008 11:01AM</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">101</span>)</td>
<td>mm/dd/yyyy &#8211; 10/02/2008</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">102</span>)</td>
<td>yyyy.mm.dd &#8211; 2008.10.02</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">103</span>)</td>
<td>dd/mm/yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">104</span>)</td>
<td>dd.mm.yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">105</span>)</td>
<td>dd-mm-yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">106</span>)</td>
<td>dd mon yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">107</span>)</td>
<td>mon dd, yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">108</span>)</td>
<td>hh:mm:ss</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">109</span>)</td>
<td>mon dd yyyy hh:mm:ss:mmmAM (or PM)</p>
<p>Oct  2 2008 11:02:44:013AM</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">110</span>)</td>
<td>mm-dd-yyyy</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">111</span>)</td>
<td>yyyy/mm/dd</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">112</span>)</td>
<td>yyyymmdd</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">113</span>)</td>
<td>dd mon yyyy hh:mm:ss:mmm</p>
<p>02 Oct 2008 11:02:07:577</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">114</span>)</td>
<td>hh:mm:ss:mmm(24h)</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">120</span>)</td>
<td>yyyy-mm-dd hh:mm:ss(24h)</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">121</span>)</td>
<td>yyyy-mm-dd hh:mm:ss.mmm</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar, getdate(), <span style="color: #ff0000;">126</span>)</td>
<td>yyyy-mm-ddThh:mm:ss.mmm</p>
<p>2008-10-02T10:52:47.513</td>
</tr>
<tr>
<td align="left" valign="top">SELECT replace(convert(varchar, getdate(), 111), -/-, &#8211; -)</td>
<td>- yyyy mm dd</td>
</tr>
<tr>
<td align="left" valign="top">SELECT convert(varchar(7), getdate(), 126)</td>
<td>- yyyy-mm</td>
</tr>
<tr>
<td align="left" valign="top">SELECT right(convert(varchar, getdate(), 106), 8 )</td>
<td>- mon yyyy</td>
</tr>
</tbody>
</table>
]]></content:encoded>
			<wfw:commentRss>http://www.forpower.com/blog/2015/11/13/mssql%ef%bc%9a%e6%99%82%e9%96%93%e6%a0%bc%e5%bc%8f%e8%bd%89%e6%8f%9b/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MSSQL：識別資料行其外顯值只有當使用了資料行清單且  IDENTITY_INSERT  為  ON  時才能指定。</title>
		<link>http://www.forpower.com/blog/2015/04/14/mssql%ef%bc%9a%e8%ad%98%e5%88%a5%e8%b3%87%e6%96%99%e8%a1%8c%e5%85%b6%e5%a4%96%e9%a1%af%e5%80%bc%e5%8f%aa%e6%9c%89%e7%95%b6%e4%bd%bf%e7%94%a8%e4%ba%86%e8%b3%87%e6%96%99%e8%a1%8c%e6%b8%85%e5%96%ae/</link>
		<comments>http://www.forpower.com/blog/2015/04/14/mssql%ef%bc%9a%e8%ad%98%e5%88%a5%e8%b3%87%e6%96%99%e8%a1%8c%e5%85%b6%e5%a4%96%e9%a1%af%e5%80%bc%e5%8f%aa%e6%9c%89%e7%95%b6%e4%bd%bf%e7%94%a8%e4%ba%86%e8%b3%87%e6%96%99%e8%a1%8c%e6%b8%85%e5%96%ae/#comments</comments>
		<pubDate>Tue, 14 Apr 2015 01:34:19 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=255</guid>
		<description><![CDATA[透過SQL語法INSERT資料時，因為目標資料表具有識別欄位(自動遞增)，而SQL的指令中也包含了該欄位，因此只要在SQL中去除此欄位讓資料庫自行處理該欄位值即可。 也就是INSERT指令中，不要包含具有自動編號的識別欄位。 若要自行增加識別欄位值，請開啟 IDENTITY_INSERT SET IDENTITY_INSERT TableName ON e.x. INSERT INTO TableName (Id,Name,Gender) VALUES (5,&#8217;John&#8217;,'m&#8217;); Id：為識別欄位]]></description>
			<content:encoded><![CDATA[<ol>
<li>透過SQL語法INSERT資料時，因為目標資料表具有<strong>識別欄位(自動遞增)</strong>，而SQL的指令中也包含了該欄位，因此只要在SQL中去除此欄位讓資料庫自行處理該欄位值即可。 <strong><span style="color: #ff0000;">也就是INSERT指令中，不要包含具有自動編號的識別欄位</span></strong>。</li>
<li>若要自行增加識別欄位值，請開啟 IDENTITY_INSERT<br />
<span style="color: #0000ff;">SET IDENTITY_INSERT</span> TableName <span style="color: #0000ff;">ON<br />
e.x. INSERT INTO <span style="color: #000000;">TableName</span> (Id,Name,Gender) VALUES (5,&#8217;John&#8217;,'m&#8217;);<br />
</span>Id：為識別欄位</li>
</ol>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MSSQL將查詢結果加上序號(ROW_NUMBER,RANK,DENSE_RANK)</title>
		<link>http://www.forpower.com/blog/2015/03/10/mssql%e5%b0%87%e6%9f%a5%e8%a9%a2%e7%b5%90%e6%9e%9c%e5%8a%a0%e4%b8%8a%e5%ba%8f%e8%99%9frow_numberrankdense_rank/</link>
		<comments>http://www.forpower.com/blog/2015/03/10/mssql%e5%b0%87%e6%9f%a5%e8%a9%a2%e7%b5%90%e6%9e%9c%e5%8a%a0%e4%b8%8a%e5%ba%8f%e8%99%9frow_numberrankdense_rank/#comments</comments>
		<pubDate>Tue, 10 Mar 2015 01:18:05 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=241</guid>
		<description><![CDATA[ROW_NUMBER依指定的欄位排序，並逐筆加上流水號ROWID SELECT  ROW_NUMBER() OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders RANK依指定的欄位排序，相同的資料流水號相同，下一筆不同資料的流水號會【跳脫】 SELECT  RANK() OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders DENSE_RANK依指定的欄位排序，相同的資料流水號相同，下一筆不同資料的流水號會【不跳脫】 SELECT  DENSE_RANK() OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders 分頁範例 SELECT * FROM ( SELECT ROW_NUMBER() &#8230; <a href="http://www.forpower.com/blog/2015/03/10/mssql%e5%b0%87%e6%9f%a5%e8%a9%a2%e7%b5%90%e6%9e%9c%e5%8a%a0%e4%b8%8a%e5%ba%8f%e8%99%9frow_numberrankdense_rank/">繼續閱讀 <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<ol>
<li><strong>ROW_NUMBER</strong>依指定的欄位排序，並逐筆加上流水號ROWID<br />
SELECT  <span style="color: #0000ff;">ROW_NUMBER()</span> OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders</li>
<li><strong>RANK</strong>依指定的欄位排序，相同的資料流水號相同，下一筆不同資料的流水號會【跳脫】<br />
SELECT  <span style="color: #0000ff;">RANK()</span> OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders</li>
<li><strong>DENSE_RANK</strong>依指定的欄位排序，相同的資料流水號相同，下一筆不同資料的流水號會【不跳脫】<br />
SELECT  <span style="color: #0000ff;">DENSE_RANK() </span>OVER(ORDER BY CustomerID) AS ROWID ,* FROM Orders</li>
<li><strong>分頁範例</strong><br />
SELECT * FROM ( SELECT ROW_NUMBER() OVER ( ORDER BY CustomerID ) AS ROWID,* FROM Orders ) AS tmp WHERE ROWID BETWEEN 21 AND 30 ORDER BY CustomerID</li>
</ol>
<p>參考來源：<a href="http://www.dotblogs.com.tw/topcat/archive/2009/08/06/9906.aspx" target="_blank">topcat 姍舞之間的極度凝聚</a></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
]]></content:encoded>
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		</item>
		<item>
		<title>將 mssql datetime 利用PHP 轉換日期格式</title>
		<link>http://www.forpower.com/blog/2014/12/02/%e5%b0%87-mssql-datetime-%e5%88%a9%e7%94%a8php-%e8%bd%89%e6%8f%9b%e6%a0%bc%e5%bc%8f/</link>
		<comments>http://www.forpower.com/blog/2014/12/02/%e5%b0%87-mssql-datetime-%e5%88%a9%e7%94%a8php-%e8%bd%89%e6%8f%9b%e6%a0%bc%e5%bc%8f/#comments</comments>
		<pubDate>Tue, 02 Dec 2014 07:38:06 +0000</pubDate>
		<dc:creator>power</dc:creator>
				<category><![CDATA[MSSQL]]></category>
		<category><![CDATA[PHP]]></category>

		<guid isPermaLink="false">http://www.forpower.com/blog/?p=207</guid>
		<description><![CDATA[$row['Birthday']-&#62;format(&#8216;Y-m-d&#8217;) ; date_format($row['Birthday'], &#8216;Y-m-d&#8217;) ; &#160;]]></description>
			<content:encoded><![CDATA[<ol>
<li>$row['Birthday']-&gt;format(&#8216;Y-m-d&#8217;) ;</li>
<li>date_format($row['Birthday'], &#8216;Y-m-d&#8217;) ;</li>
</ol>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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