亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

? 歡迎來(lái)到蟲(chóng)蟲(chóng)下載站! | ?? 資源下載 ?? 資源專輯 ?? 關(guān)于我們
? 蟲(chóng)蟲(chóng)下載站

?? faq.tcl

?? 新版輕量級(jí)嵌入式數(shù)據(jù)庫(kù)
?? TCL
?? 第 1 頁(yè) / 共 2 頁(yè)
字號(hào):
## Run this script to generated a faq.html output file#set rcsid {$Id: faq.tcl,v 1.36 2006/04/05 01:02:08 drh Exp $}source common.tclheader {SQLite Frequently Asked Questions</title>}set cnt 1proc faq {question answer} {  set ::faq($::cnt) [list [string trim $question] [string trim $answer]]  incr ::cnt}############## Enter questions and answers here.faq {  How do I create an AUTOINCREMENT field.} {  <p>Short answer: A column declared INTEGER PRIMARY KEY will  autoincrement.</p>  <p>Here is the long answer:  If you declare a column of a table to be INTEGER PRIMARY KEY, then  whenever you insert a NULL  into that column of the table, the NULL is automatically converted  into an integer which is one greater than the largest value of that  column over all other rows in the table, or 1 if the table is empty.  (If the largest possible integer key, 9223372036854775807, then an  unused key value is chosen at random.)  For example, suppose you have a table like this:<blockquote><pre>CREATE TABLE t1(  a INTEGER PRIMARY KEY,  b INTEGER);</pre></blockquote>  <p>With this table, the statement</p><blockquote><pre>INSERT INTO t1 VALUES(NULL,123);</pre></blockquote>  <p>is logically equivalent to saying:</p><blockquote><pre>INSERT INTO t1 VALUES((SELECT max(a) FROM t1)+1,123);</pre></blockquote>  <p>There is a new API function named  <a href="capi3ref.html#sqlite3_last_insert_rowid">  sqlite3_last_insert_rowid()</a> which will return the integer key  for the most recent insert operation.</p>  <p>Note that the integer key is one greater than the largest  key that was in the table just prior to the insert.  The new key  will be unique over all keys currently in the table, but it might  overlap with keys that have been previously deleted from the  table.  To create keys that are unique over the lifetime of the  table, add the AUTOINCREMENT keyword to the INTEGER PRIMARY KEY  declaration.  Then the key chosen will be one more than than the  largest key that has ever existed in that table.  If the largest  possible key has previously existed in that table, then the INSERT  will fail with an SQLITE_FULL error code.</p>}faq {  What datatypes does SQLite support?} {  <p>See <a href="datatype3.html">http://www.sqlite.org/datatype3.html</a>.</p>}faq {  SQLite lets me insert a string into a database column of type integer!} {  <p>This is a feature, not a bug.  SQLite does not enforce data type  constraints.  Any data can be  inserted into any column.  You can put arbitrary length strings into  integer columns, floating point numbers in boolean columns, or dates  in character columns.  The datatype you assign to a column in the  CREATE TABLE command does not restrict what data can be put into  that column.  Every column is able to hold  an arbitrary length string.  (There is one exception: Columns of  type INTEGER PRIMARY KEY may only hold a 64-bit signed integer.  An error will result  if you try to put anything other than an integer into an  INTEGER PRIMARY KEY column.)</p>  <p>But SQLite does use the declared type of a column as a hint  that you prefer values in that format.  So, for example, if a  column is of type INTEGER and you try to insert a string into  that column, SQLite will attempt to convert the string into an  integer.  If it can, it inserts the integer instead.  If not,  it inserts the string.  This feature is sometimes  call <a href="datatype3.html#affinity">type or column affinity</a>.  </p>}faq {  Why does SQLite think that the expression '0'=='00' is TRUE?} {  <p>As of version 2.7.0, it doesn't.  See the document on  <a href="datatype3.html">datatypes in SQLite version 3</a>  for details.</p>}faq {  Why doesn't SQLite allow me to use '0' and '0.0' as the primary  key on two different rows of the same table?} {  <p>Your primary key must have a numeric type.  Change the datatype of  your primary key to TEXT and it should work.</p>  <p>Every row must have a unique primary key.  For a column with a  numeric type, SQLite thinks that <b>'0'</b> and <b>'0.0'</b> are the  same value because they compare equal to one another numerically.  (See the previous question.)  Hence the values are not unique.</p>}        faq {  My linux box is not able to read an SQLite database that was created  on my SparcStation.} {  <p>You need to upgrade your SQLite library to version 2.6.3 or later.</p>  <p>The x86 processor on your linux box is little-endian (meaning that  the least significant byte of integers comes first) but the Sparc is  big-endian (the most significant bytes comes first).  SQLite databases  created on a little-endian architecture cannot be on a big-endian  machine by version 2.6.2 or earlier of SQLite.  Beginning with  version 2.6.3, SQLite should be able to read and write database files  regardless of byte order of the machine on which the file was created.</p>}faq {  Can multiple applications or multiple instances of the same  application access a single database file at the same time?} {  <p>Multiple processes can have the same database open at the same  time.  Multiple processes can be doing a SELECT  at the same time.  But only one process can be making changes to  the database at any moment in time, however.</p>  <p>SQLite uses reader/writer locks to control access to the database.  (Under Win95/98/ME which lacks support for reader/writer locks, a  probabilistic simulation is used instead.)  But use caution: this locking mechanism might  not work correctly if the database file is kept on an NFS filesystem.  This is because fcntl() file locking is broken on many NFS implementations.  You should avoid putting SQLite database files on NFS if multiple  processes might try to access the file at the same time.  On Windows,  Microsoft's documentation says that locking may not work under FAT  filesystems if you are not running the Share.exe daemon.  People who  have a lot of experience with Windows tell me that file locking of  network files is very buggy and is not dependable.  If what they  say is true, sharing an SQLite database between two or more Windows  machines might cause unexpected problems.</p>  <p>We are aware of no other <i>embedded</i> SQL database engine that  supports as much concurrancy as SQLite.  SQLite allows multiple processes  to have the database file open at once, and for multiple processes to  read the database at once.  When any process wants to write, it must  lock the entire database file for the duration of its update.  But that  normally only takes a few milliseconds.  Other processes just wait on  the writer to finish then continue about their business.  Other embedded  SQL database engines typically only allow a single process to connect to  the database at once.</p>  <p>However, client/server database engines (such as PostgreSQL, MySQL,  or Oracle) usually support a higher level of concurrency and allow  multiple processes to be writing to the same database at the same time.  This is possible in a client/server database because there is always a  single well-controlled server process available to coordinate access.  If your application has a need for a lot of concurrency, then you should  consider using a client/server database.  But experience suggests that  most applications need much less concurrency than their designers imagine.  </p>  <p>When SQLite tries to access a file that is locked by another  process, the default behavior is to return SQLITE_BUSY.  You can  adjust this behavior from C code using the   <a href="capi3ref#sqlite3_busy_handler">sqlite3_busy_handler()</a> or  <a href="capi3ref#sqlite3_busy_timeout">sqlite3_busy_timeout()</a>  API functions.</p>}faq {  Is SQLite threadsafe?} {  <p>Yes.  Sometimes.  In order to be thread-safe, SQLite must be compiled  with the THREADSAFE preprocessor macro set to 1.  In the default  distribution, the windows binaries are compiled to be threadsafe but  the linux binaries are not.  If you want to change this, you'll have to  recompile.</p>  <p>"Threadsafe" in the previous paragraph means that two or more threads  can run SQLite at the same time on different "<b>sqlite3</b>" structures  returned from separate calls to   <a href="capi3ref#sqlite3_open">sqlite3_open()</a>.  It is never safe  to use the same <b>sqlite3</b> structure pointer in two  or more threads.</p>  <p>Prior to version 3.3.1,  an <b>sqlite3</b> structure could only be used in the same thread  that called <a href="capi3ref#sqlite3_open">sqlite3_open</a> to create it.  You could not open a  database in one thread then pass the handle off to another thread for  it to use.  This was due to limitations (bugs?) in many common threading  implementations such as on RedHat9.  Specifically, an fcntl() lock  created by one thread cannot be removed or modified by a different  thread on the troublesome systems.  And since SQLite uses fcntl()  locks heavily for concurrency control, serious problems arose if you   start moving database connections across threads.</p>  <p>The restriction on moving database connections across threads  was relaxed somewhat in version 3.3.1.  With that and subsequent  versions, it is safe to move a connection handle across threads  as long as the connection is not holding any fcntl() locks.  You  can safely assume that no locks are being held if no  transaction is pending and all statements have been finalized.</p>  <p>Under UNIX, you should not carry an open SQLite database across  a fork() system call into the child process.  Problems will result  if you do.</p>}faq {  How do I list all tables/indices contained in an SQLite database} {  <p>If you are running the <b>sqlite3</b> command-line access program  you can type "<b>.tables</b>" to get a list of all tables.  Or you  can type "<b>.schema</b>" to see the complete database schema including  all tables and indices.  Either of these commands can be followed by  a LIKE pattern that will restrict the tables that are displayed.</p>  <p>From within a C/C++ program (or a script using Tcl/Ruby/Perl/Python  bindings) you can get access to table and index names by doing a SELECT  on a special table named "<b>SQLITE_MASTER</b>".  Every SQLite database  has an SQLITE_MASTER table that defines the schema for the database.  The SQLITE_MASTER table looks like this:</p><blockquote><pre>CREATE TABLE sqlite_master (  type TEXT,  name TEXT,  tbl_name TEXT,  rootpage INTEGER,  sql TEXT);</pre></blockquote>  <p>For tables, the <b>type</b> field will always be <b>'table'</b> and the  <b>name</b> field will be the name of the table.  So to get a list of  all tables in the database, use the following SELECT command:</p><blockquote><pre>SELECT name FROM sqlite_masterWHERE type='table'ORDER BY name;</pre></blockquote>  <p>For indices, <b>type</b> is equal to <b>'index'</b>, <b>name</b> is the  name of the index and <b>tbl_name</b> is the name of the table to which  the index belongs.  For both tables and indices, the <b>sql</b> field is  the text of the original CREATE TABLE or CREATE INDEX statement that  created the table or index.  For automatically created indices (used

?? 快捷鍵說(shuō)明

復(fù)制代碼 Ctrl + C
搜索代碼 Ctrl + F
全屏模式 F11
切換主題 Ctrl + Shift + D
顯示快捷鍵 ?
增大字號(hào) Ctrl + =
減小字號(hào) Ctrl + -
亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频
av电影在线观看一区| 天天亚洲美女在线视频| 婷婷国产v国产偷v亚洲高清| 久久精品国产精品亚洲综合| 激情久久五月天| 欧美午夜免费电影| 2023国产精品自拍| 婷婷夜色潮精品综合在线| 成人一区二区三区| 欧美日韩免费观看一区二区三区| 欧美经典一区二区三区| 午夜久久福利影院| 成人国产视频在线观看| 精品国产凹凸成av人导航| 亚洲免费在线电影| 国产成人在线观看| 日韩一区二区免费高清| 亚洲视频一区二区在线| 国产a视频精品免费观看| 9191国产精品| 亚洲资源中文字幕| a在线欧美一区| 欧美日韩第一区日日骚| 国产精品乱人伦| 麻豆国产91在线播放| 欧美日韩免费不卡视频一区二区三区| 国产精品国产三级国产有无不卡 | 成人成人成人在线视频| 欧美一区二区三区白人| 亚洲少妇最新在线视频| 国产精品99久久久久久宅男| 555www色欧美视频| 亚洲欧洲日产国码二区| 久久99热这里只有精品| 91首页免费视频| 久久久国产精华| 免费观看在线色综合| 精品视频一区三区九区| 亚洲人成影院在线观看| 成人一级黄色片| 26uuu亚洲| 蜜桃一区二区三区四区| 欧美三级电影精品| 亚洲日本va午夜在线影院| 国产成人亚洲综合色影视| 日韩三级伦理片妻子的秘密按摩| 亚洲精品ww久久久久久p站| 激情av综合网| 精品日韩一区二区三区| 天天av天天翘天天综合网色鬼国产| 色天天综合久久久久综合片| 国产精品国产馆在线真实露脸| 狠狠色丁香久久婷婷综合丁香| 日韩一区二区在线看片| 天天操天天综合网| 欧美疯狂性受xxxxx喷水图片| 国产精品沙发午睡系列990531| 精品亚洲成a人| 精品国产免费一区二区三区四区| 日韩福利视频导航| 色欧美88888久久久久久影院| jizz一区二区| 午夜视频一区二区三区| 精品国产三级电影在线观看| 欧美日韩一区 二区 三区 久久精品| 91丨九色丨尤物| 亚洲一区二区精品3399| 欧美疯狂做受xxxx富婆| 免费在线观看成人| 欧美一级在线免费| 欧美aaa在线| 日韩精品一区二区三区四区 | 国产精品亚洲一区二区三区在线| 日韩美女主播在线视频一区二区三区| 日韩有码一区二区三区| 91精品久久久久久久久99蜜臂| 亚洲视频免费看| 91视频免费看| 亚洲在线观看免费| 欧美一区二区三区在线| 捆绑调教美女网站视频一区| 欧美精品一区二区三区四区| 激情五月播播久久久精品| 国产亚洲一本大道中文在线| 成人午夜短视频| 亚洲国产成人自拍| 91蝌蚪porny九色| 亚洲色图欧美激情| 日韩一级免费一区| 高清国产一区二区| 亚洲成人动漫在线观看| 欧美大尺度电影在线| 国产最新精品免费| 一区二区三区在线观看网站| 9191国产精品| 人人爽香蕉精品| 中文字幕亚洲综合久久菠萝蜜| 在线观看亚洲a| 国精产品一区一区三区mba视频| 国产精品美女久久久久久久久久久| 91亚洲精品久久久蜜桃网站| 欧美96一区二区免费视频| 国产欧美精品一区二区色综合朱莉| 成人免费视频app| 亚洲1区2区3区视频| 久久久久国产精品麻豆ai换脸| 色狠狠色狠狠综合| 狠狠色狠狠色综合日日91app| 亚洲视频狠狠干| 久久精品亚洲精品国产欧美kt∨| 91亚洲国产成人精品一区二三| 午夜精品久久久久久久99樱桃 | 高清国产一区二区三区| 午夜视频在线观看一区二区 | 懂色av噜噜一区二区三区av| 亚洲愉拍自拍另类高清精品| 国产成人午夜高潮毛片| 欧美一区二区不卡视频| 亚洲精品福利视频网站| 国产精品亚洲视频| 视频在线在亚洲| 欧美韩国日本不卡| 日韩一级片网址| 色综合久久88色综合天天免费| 另类小说欧美激情| 国产欧美日韩麻豆91| 欧美一级久久久| 91免费看片在线观看| 肉肉av福利一精品导航| 国产精品国产三级国产普通话三级| 欧美视频在线不卡| 国产成人高清视频| 日日摸夜夜添夜夜添国产精品 | 91香蕉国产在线观看软件| 国产中文字幕精品| 亚洲国产日韩一区二区| 欧美激情一区二区三区全黄| 久久影院视频免费| 欧美精品久久天天躁| 99久久亚洲一区二区三区青草| 精品中文字幕一区二区小辣椒| 亚洲一区二区视频| 精品剧情在线观看| 国产成人亚洲精品狼色在线| 欧美变态tickling挠脚心| 精品国产乱码久久| 在线看一区二区| 国产激情一区二区三区四区 | 日欧美一区二区| 国产精品久久精品日日| 精品国产一区久久| 欧美日本免费一区二区三区| 91理论电影在线观看| 麻豆精品一二三| 午夜精品爽啪视频| 亚洲一区二区三区不卡国产欧美| 国产精品久久久久久亚洲伦| 欧美变态凌虐bdsm| 91精品国产日韩91久久久久久| 在线观看国产一区二区| 欧美这里有精品| 精品婷婷伊人一区三区三| 在线精品亚洲一区二区不卡| 欧美午夜理伦三级在线观看| 欧美日韩一区在线| 4438x成人网最大色成网站| 在线播放91灌醉迷j高跟美女| 欧美精品自拍偷拍| 欧美一区二区三区四区五区| 日韩三级在线免费观看| 久久久亚洲高清| 国产拍欧美日韩视频二区| 国产精品麻豆网站| 亚洲人快播电影网| 亚洲va韩国va欧美va精品| 青椒成人免费视频| 国产乱人伦偷精品视频免下载 | 日韩电影在线观看电影| 日本在线不卡一区| 激情丁香综合五月| 成人app软件下载大全免费| 91蜜桃网址入口| 欧美视频一区二区| 91精品国产综合久久福利软件| 日韩精品一区二区三区老鸭窝 | 欧美日韩精品一区二区三区四区| 欧美在线观看一二区| 51午夜精品国产| 久久久久国产精品人| 亚洲精品视频一区二区| 午夜国产精品影院在线观看| 老司机精品视频导航| 成人一区二区三区中文字幕| 在线一区二区三区| 欧美一级片在线看| 中文久久乱码一区二区| 亚洲日韩欧美一区二区在线| 首页亚洲欧美制服丝腿| 国产在线国偷精品免费看| 91丨九色丨蝌蚪富婆spa|