① sql批量插入數據
一、針對批量插入數據，如果量不是太多，可以多條SQL語句運行就可以了，
類似下面的語句，當然可以使用excel 編輯後，復制到查詢器中運行，
insert into table(a,b) values('1','a')
insert into table(a,b) values('2','b')
insert into table(a,b) values('3','c')
二、大量數批量插入，即數據表的移植，數據備份轉換之類的，就需要工具，比如MSSQL的DTS工具，pb的數據通道 等等。這里介紹一下 DTS工具。
② 如何用SQL語句向一個表中插入多行記錄
insert一般是用來給表插入一條指定的列值的，但是，insert還存在另一種形式，可以利用它將一條select語句的結果插入表中。
這就是所謂的insert select，顧名思義，它是由一條insert語句和一條select語句組成的。假如你從另一張表中合並客戶列表到你的Custumers表，不需要每次讀取一行，然後再將它用insert插入，可以如下進行：
insert into Custumer（cust_id,
cust_cintact,
cust_name,
cust_email,
cust_address,
cust_country）
select cust_id,
cust_cintact,
cust_name,
cust_email,
cust_address,
cust_country
from CustNew;
(2)批量插入數據的sql語句擴展閱讀
insert select中的列名為簡單起見，這個例子在insert和select語句中使用了相同的列名，但是，不一定要求列名匹配。事實上，DBMS甚至不關心select返回的列名，它使用的是列的位置。
因此，select中的第一列（不管其列名）將用來填充表列中的指定的第一個列，第二列將用來填充表列中指定的第二個列，如此等等。
③ sql批量插入語句
你的表結構是這樣吧：
A（A1）
B（A1，B1）
你說的B1也同時插入是插入空值還是插入A1一樣的值？
如果是空值：
insert into B(A1, B1) select A1, null from A;
如果插入和A1一樣的欄位：
insert into B(A1, B1) select A1, A1 from A;
④ 處理數據批量生成sql插入語句
處理數據批量生成sql插入語句
最近在做一個天氣預報模塊，首先需要將客戶端公網ip轉換成所在城市，然後將所在城市名轉換成對應的城市代碼，在網上找到了城市代碼，但是需要處理一下，看了看，有三百多城市及對應的城市代碼，想存到資料庫。就想著做一個數據處理自動生成sql語句的工具，提高效率。
1 直轄市
2 "北京","上海","天津","重慶"
3 "101010100","101020100","101030100","101040100"
4
5 特別行政區
6 "香港","澳門"
7 "101320101","101330101"
8
9 黑龍江
10 "哈爾濱","齊齊哈爾","牡丹江","大慶","伊春","雙鴨山","鶴崗","雞西","佳木斯","七台河","黑河","綏化","大興安嶺"
11 "101050101","101050201","101050301","101050901","101050801","101051301","101051201","101051101","101050401","101051002","101050601","101050501","101050701"
12
13 吉林
14 "長春","延吉","吉林","白山","白城","四平","松原","遼源","大安","通化"
15 "101060101","101060301","101060201","101060901","101060601","101060401","101060801","101060701","101060603","101060501"
16
17 遼寧
18 "沈陽","大連","葫蘆島","盤錦","本溪","撫順","鐵嶺","遼陽","營口","阜新","朝陽","錦州","丹東","鞍山"
19 "101070101","101070201","101071401","101071301","101070501","101070401","101071101","101071001","101070801","101070901","101071201","101070701","101070601","101070301"
20
21 內蒙古
22 "呼和浩特","呼倫貝爾","錫林浩特","包頭","赤峰","海拉爾","烏海","鄂爾多斯","通遼"
23 "101080101","101081000","101080901","101080201","101080601","101081001","101080301","101080701","101080501"
24
25 河北
26 "石家莊","唐山","張家口","廊坊","邢台","邯鄲","滄州","衡水","承德","保定","秦皇島"
27 "101090101","101090501","101090301","101090601","101090901","101091001","101090701","101090801","101090402","101090201","101091101"
28
29 河南
30 "鄭州","開封","洛陽","平頂山","焦作","鶴壁","新鄉","安陽","濮陽","許昌","漯河","三門峽","南陽","商丘","信陽","周口","駐馬店"
31 "101180101","101180801","101180901","101180501","101181101","101181201","101180301","101180201","101181301","101180401","101181501","101181701","101180701","101181001","101180601","101181401","101181601"
32
33 山東
34 "濟南","青島","淄博","威海","曲阜","臨沂","煙台","棗庄","聊城","濟寧","菏澤","泰安","日照","東營","德州","濱州","萊蕪","濰坊"
35 "101120101","101120201","101120301","101121301","101120710","101120901","101120501","101121401","101121701","101120701","101121001","101120801","101121501","101121201","101120401","101121101","101121601","101120601"
36
37 山西
38 "太原","陽泉","晉城","晉中","臨汾","運城","長治","朔州","忻州","大同","呂梁"
39 "101100101","101100301","101100601","101100401","101100701","101100801","101100501","101100901","101101001","101100201","101101101"
40
41 江蘇
42 "南京","蘇州","崑山","南通","太倉","吳縣","徐州","宜興","鎮江","淮安","常熟","鹽城","泰州","無錫","連雲港","揚州","常州","宿遷"
43 "101190101","101190401","101190404","101190501","101190408","101190406","101190801","101190203","101190301","101190901","101190402","101190701","101191201","101190201","101191001","101190601","101191101","101191301"
44
45 安徽
46 "合肥","巢湖","蚌埠","安慶","六安","滁州","馬鞍山","阜陽","宣城","銅陵","淮北","蕪湖","毫州","宿州","淮南","池州"
47 "101220101","101221601","101220201","101220601","101221501","101221101","101220501","101220801","101221401","101221301","101221201","101220301","101220901","101220701","101220401","101221701"
48
49 陝西
50 "西安","韓城","安康","漢中","寶雞","咸陽","榆林","渭南","商洛","銅川","延安"
51 "101110101","101110510","101110701","101110801","101110901","101110200","101110401","101110501","101110601","101111001","101110300"
52
53 寧夏
54 "銀川","固原","中衛","石嘴山","吳忠"
55 "101170101","101170401","101170501","101170201","101170301"
56
57 甘肅
58 "蘭州","白銀","慶陽","酒泉","天水","武威","張掖","甘南","臨夏","平涼","定西","金昌"
59 "101160101","101161301","101160401","101160801","101160901","101160501","101160701","101050204","101161101","101160301","101160201","101160601"
60
61 青海
62 "西寧","海北","海西","黃南","果洛","玉樹","海東","海南"
63 "101150101","101150801","101150701","101150301","101150501","101150601","101150201","101150401"
64
65 湖北
66 "武漢","宜昌","黃岡","恩施","荊州","神農架","十堰","咸寧","襄陽","孝感","隨州","黃石","荊門","鄂州"
67 "101200101","101200901","101200501","101201001","101200801","101201201","101201101","101200701","101200201","101200401","101201301","101200601","101201401","101200301"
68
69 湖南
70 "長沙","邵陽","常德","郴州","吉首","株洲","婁底","湘潭","益陽","永州","岳陽","衡陽","懷化","韶山","張家界"
71 "101250101","101250901","101250601","101250501","101251501","101250301","101250801","101250201","101250701","101251401","101251001","101250401","101251201","101250202","101251101"
72
73 浙江
74 "杭州","湖州","金華","寧波","麗水","紹興","衢州","嘉興","台州","舟山","溫州"
75 "101210101","101210201","101210901","101210401","101210801","101210501","101211001","101210301","101210601","101211101","101210701"
76
77 江西
78 "南昌","萍鄉","九江","上饒","撫州","吉安","鷹潭","宜春","新余","景德鎮","贛州"
79 "101240101","101240901","101240201","101240301","101240401","101240601","101241101","101240501","101241001","101240801","101240701"
80
81 福建
82 "福州","廈門","龍岩","南平","寧德","莆田","泉州","三明","漳州"
83 "101230101","101230201","101230701","101230901","101230301","101230401","101230501","101230801","101230601"
84
85 貴州
86 "貴陽","安順","赤水","遵義","銅仁","六盤水","畢節","凱里","都勻"
87 "101260101","101260301","101260208","101260201","101260601","101260801","101260701","101260501","101260401"
88
89 四川
90 "成都","瀘州","內江","涼山","阿壩","巴中","廣元","樂山","綿陽","德陽","攀枝花","雅安","宜賓","自貢","甘孜州","達州","資陽","廣安","遂寧","眉山","南充"
91 "101270101","101271001","101271201","101271601","101271901","101270901","101272101","101271401","101270401","101272001","101270201","101271701","101271101","101270301","101271801","101270601","101271301","101270801","101270701","101271501","101270501"
92
93 廣東
94 "廣州","深圳","潮州","韶關","湛江","惠州","清遠","東莞","江門","茂名","肇慶","汕尾","河源","揭陽","梅州","中山","德慶","陽江","雲浮","珠海","汕頭","佛山"
95 "101280101","101280601","101281501","101280201","101281001","101280301","101281301","101281601","101281101","101282001","101280901","101282101","101281201","101281901","101280401","101281701","101280905","101281801","101281401","101280701","101280501","101280800"
96
97 廣西
98 "南寧","桂林","陽朔","柳州","梧州","玉林","桂平","賀州","欽州","貴港","防城港","百色","北海","河池","來賓","崇左"
99 "101300101","101300501","101300510","101300301","101300601","101300901","101300802","101300701","101301101","101300801","101301401","101301001","101301301","101301201","101300401","101300201"
100
101 雲南
102 "昆明","保山","楚雄","德宏","紅河","臨滄","怒江","曲靖","思茅","文山","玉溪","昭通","麗江","大理"
103 "101290101","101290501","101290801","101291501","101290301","101291101","101291201","101290401","101290901","101290601","101290701","101291001","101291401","101290201"
104
105 海南
106 "海口","三亞","儋州","瓊山","通什","文昌"
107 "101310101","101310201","101310205","101310102","101310222","101310212"
108
109 新疆
110 "烏魯木齊","阿勒泰","阿克蘇","昌吉","哈密","和田","喀什","克拉瑪依","石河子","塔城","庫爾勒","吐魯番","伊寧"
111 "101130101","101131401","101130801","101130401","101131201","101131301","101130901","101130201","101130301","101131101","101130601","101130501","101131001"
112
113 西藏
114 "拉薩","阿里","昌都","那曲","日喀則","山南","林芝"
115 "101140101","101140701","101140501","101140601","101140201","101140301","101140401"
116
117 台灣
118 "台北","高雄"
119 "101340102","101340201"
城市代碼
一看上去很亂的，而且對應關系是每個省城市一行，代碼一行，分別用引號引起，用逗號分隔，每行間都沒有符號分隔，省名沒有用引號。首先是想著把省名去掉，因為每個城市名都是不相同的。想著每兩行兩行的去處理，但是也要費不少功夫，還容易出錯。就想個索性一次性的全處理的演算法。
ps：界面很簡單，上面是輸入數據，中間是轉換，下面是輸出數據。
後台主要代碼：
[csharp] view plain
private void button1_Click(object sender, EventArgs e)
{
string data = textBox1.Text.Replace("r", "").Replace("n", "").Replace("t", "").Replace(" ", "").Replace(" ", "").Replace(" ", "");
MatchCollection matchsdata = matches(data, ""[sS]*?"");
string[,] temps = new string[matchsdata.Count / 2, 2];
int count0 = 0;
int count1 = 0;
string input = string.Empty;
foreach (Match m in matchsdata)
{
string tempdata = m.Value.Replace(""", "");
try
{
int tryp = int.Parse(tempdata);
temps[count1, 1] = tempdata;
count1++;
}
catch (Exception ex)
{
temps[count0, 0] = tempdata;
count0++;
}
}
for (int i = 0; i < (matchsdata.Count / 2); i++)
{
input += "insert into tbl_CityCode(c_city,c_code) values( + temps[i, 0] + , + temps[i, 1] + )rn";
}
textBox2.Text = input;
}
public static MatchCollection matches(string str, string exp)
{
return Regex.Matches(str, exp, RegexOptions.IgnoreCase);
}
首先是將輸入的數據處理，去除換行符，空格什麼的。然後你應該是會得到一行數據，然後通過正則表達式匹配出所有帶引號的數據，你會發現需要的數據全部都是用引號引起來的，但是怎樣區分城市名和城市代碼呢，它們是混在一起的。不用擔心，你發現了嗎？城市名是字元串，城市代碼是一串數字，我們只要將匹配出的數據數組遍歷，每一行數據都去轉換成int類型，這樣城市名的行就會報錯，在catch中捕捉，這一行就是城市名，沒錯的就是城市代碼，把數據一次存到一個二維數組，對應的列中就行了。這樣就會獲得了相對應的城市名和城市代碼。生成的sql語句要對應相應的資料庫表。
表結構：
轉換完了將生成的sql語句放到查詢器中執行就ok了。共處理了349個城市。
最後不放心自己的演算法，隨機抽查了幾條數據，沒有錯誤。
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⑤ 如何用SQL語句將數據批量插入資料庫
這種情況使用xml來進行批量插入.
1.asp.net頁面上抓取數據,轉換成xml字元串
2.將這個字元串作為參數傳給存儲過程
3.存儲過程里,將這個xml讀取成臨時表
4.整個臨時表插入到目標數據表中,這個過程可以使用sql
server的事務；其實在這里用不用事務問題都不大了,因為存儲過程出錯,數據插不進去的,還會拋出異常到asp.net後台,讓後台進行處理異常.
您用游標或asp.net代碼來循環,速度會比較慢的.
⑥ 資料庫中我想要批量插入數據SQL語句怎麼寫。
批量插入不要用循環，直接sql語句就可以了：
insert
into
table
(`field`,
`field2`)
values
('val',
'val2'),
('v2',
'v3');
這樣就可以了，上面的sql批量了2條，以此類推，中間隔半形逗號即可。
我就暈了，你不會用程序處理啊，用一個array_map然後implode不久可以了嗎？
⑦ 如何使用SQL語句進行批量添加數據
Update
[表名]
Set
要修改的欄位名
=
'要修改為的內容'
Where
要修改的欄位名
=
'修改前的內容'
執行一下以上的SQL語句就可以了
⑧ SQL批量插入數據的語句是什麼
BULK INSERT dbo.t_unit
FROM 'c:\unit.txt' WITH (FIELDTERMINATOR = ';', ROWTERMINATOR = '\n')用這個語句就可以實現批量的數據插入到SQL資料庫中了，FIELDTERMINATOR = ';'這里的「；」要看你的定義分隔符來定，如果是「，」就把「；」改成「，」就可以了。
⑨ mysql批量插入數據怎麼寫sql語句呢
如果就一個name欄位並且ID是自增的話就這樣
INSERT INTO tablename VALUES('name1','name2','name3','name4')
否則就這樣
INSERT INTO tablename VALUES(('1','name1'),('3','name2'),('2','name3'),('8','name4'))
當然也可以這樣寫，上面的是簡化的
INSERT INTO tablename （name）VALUES ('name1','name2','name3','name4')
INSERT INTO tablename (id,name) VALUES (('1','name1'),('3','name2'),('2','name3'),('8','name4'))
⑩ 如何用SQL語句來實現批量導入
用如下語句,選中一起執行
insertintotable1
withtas
(<=100)
select
rn,
'測試數據'||rn,
TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(TO_DATE('2013-07-01','yyyy-mm-dd'),'J')),TO_NUMBER(TO_CHAR(TO_DATE('2013-07-31','yyyy-mm-dd'),'J')))),'J')
fromt;