SQLite Загрузка, установка и начало работы

Вступление

SQLite не имеет отдельного серверного процесса, как большинство других баз данных SQL. Конфигурация для запуска абсолютно отсутствует, проект SQLite предоставляет утилиту командной строки с именем sqlite3 (или sqlite3.exe в Windows), которая позволяет пользователю вручную вводить и выполнять операторы SQL для базы данных SQLite. В этом документе мы обсудили введение о том, как загрузить, установить и запустить программу sqlite3.

Linux:

Загрузите и установите SQLite3 из репозитория Ubuntu

Выполните следующую команду в оболочке Linux:

Скачать Установить SQLite3 из исходного кода в Ubuntu

Начало работы в Linux

После завершения процесса установки просто введите «sqlite3» и нажмите «Enter» в оболочке linux, и программа sqlite3 покажет краткое баннерное сообщение и предложит вам ввести SQL. Чтобы создать новую базу данных, введите «sqlite3», а затем имя файла базы данных. Если файл базы данных не указан, временная база данных создается и удаляется при выходе из программы «sqlite3». Каждый оператор SQL заканчивается точкой с запятой и нажимает «Enter» для выполнения SQL. Смотрите следующие команды:

Установите SQLite3 на Windows

• Перейдите на страницу загрузки SQLite3.
• Перейдите в раздел «Предварительно скомпилированные двоичные файлы для Windows».
• Загрузите архивные файлы «sqlite-shell» и «sqlite-dll».
• Распакуйте их в папку C: / WINDOWS / system32 (или любую другую, которая находится в вашем PATH).

Начало работы в Windows

В Windows, дважды щелкнув по значку sqlite3.exe, вы можете запустить оболочку командной строки. Но по умолчанию этот сеанс SQLite использует базу данных в памяти, а не файл на диске, и поэтому все изменения будут потеряны, когда пользователь существует в сеансе. Чтобы использовать постоянный дисковый файл в качестве базы данных, введите команду «.open» сразу после запуска окна терминала:

Команда «.open test1.db» открывает базу данных test1.db. Чтобы использовать полный путь к файлу, используйте косую черту в качестве символа разделителя каталогов (например, используйте «d: /workarea/test.db», а не «d: /workarea/test.db»).

Предыдущая: SQLite3 Home
Далее: DOT (.) Команды

Downloads

Windows

Our latest release (3.12.1) for Windows:

Windows PortableApp

There is a PortableApp available, but it’s still the previous (3.12.0) release version. It should be updated to 3.12.1 over the next few days:

Note — If for any reason the standard Windows release does not work (e.g. gives an error), try a nightly build (below).

Nightly builds often fix bugs reported after the last release. 😄

macOS

Our latest release (3.12.1) for macOS:

Homebrew

If you prefer using Homebrew for macOS, our latest release can be installed via Homebrew Cask:

Nightly builds

Download nightly builds for Windows and macOS here:

Linux

DB Browser for SQLite works well on Linux.

Arch Linux

Arch Linux provides an up to date version

Install with the following command:

Fedora

Install for Fedora (i386 and x86_64) by issuing the following command:

openSUSE

Debian

Note that Debian focuses more on stability rather than newest features. Therefore packages will typically contain some older version, compared to the latest release.

Update the cache using:

Install the package using:

Ubuntu and Derivatives

Stable release

For Ubuntu and derivaties, @deepsidhu1313 provides a PPA with the latest release here:

To add this ppa just type in these commands in terminal:

Then update the cache using:

Install the package using:

Ubuntu 14.04.X, 15.04.X, 15.10.X and 16.04.X are supported for now (until Launchpad decides to discontinue building for any series).

Ubuntu Precise (12.04) and Utopic (14.10) are not supported:

• Precise does not have a new enough Qt package in its repository by default, which is a dependency
• Launchpad does not support Utopic any more, which has reached its End of Life

Nightly builds

Nightly builds are available here:

To add this ppa, type these commands into the terminal:

Then update the cache using:

Install the package using:

Other Linux

On others, compile DB4S using the instructions in BUILDING.md.

FreeBSD

DB Browser for SQLite works well on FreeBSD, and there is a port for it (thanks to lbartoletti 😄). DB4S can be installed using either this command:

How to Download & Install SQLite on Windows

SQLite offers a lot of different installation packages, depending on your operating systems. It also offers a lot of APIs for a broad range of programming languages.

Download & Install SQLite Package Installer

Installation packages available for Windows 10 users:

From the SQLite official website in the download section. The following screenshot allows you to download different SQLite’s installation packages for Windows:

The command line shell program:

The highlighted download package is called the Command-Line Program (CLP). CLP is a command line application that let you access the SQLite database management system and all the features of the SQLite. Using CLP, you can create and manage the SQLite database. And it is the tool that we will use throughout the tutorial.

• 32-bit DLL(x86): The SQLite Database system core library for x86 platforms.
• 64-bit DLL (x64): The SQLite Database system core library for x64 platforms.

Installing the Command-Line Program (CLP) on your machine:

In the following steps, you will find the steps for how to install the Command-Line Program (CLP) on your machine:

Step 1) Download the highlighted download package from the previous image to your PC. It is a «zip» file.

Step 2) Extract the zip file. You will find the «sqlite3.exe» in the extracted file as following:

Step 3) Open My Computer, and double-click the partition «C» to navigate to it:

Step 4) Create a new directory «sqlite«:

Step 5) Copy the file «sqlite3.exe» into it. This is what we will use through the tutorials to run SQLite queries:

However, there are some other packages for different purposes. They are not required. But you might need it if you are using a different OS than Windows you can get the Linux or Mac OS version of SQLite.

Also, you can get the documentation or source code from there if you wish. You can also get the API for Windows Phone 8 or .Net and other programming languages.

Here are some other different packages for different purposes:

• The Source Code and some alternative Source Code Formats – The complete source code that made up the SQLite.
• The documentation – The documentation of the SQLite as HTML pages. It is the same online documentation, but downloadable as HTML page so that you can open them offline.
• Precompiled Binaries for Linux.
• Precompiled Binaries for Mac OS X (x86).
• Precompiled Binaries for Windows Phone 8 – SDK and components to develop an application for Windows Phone 8 that uses SQLite databases.
• Precompiled Binaries for Windows Runtime – SDK and other components for developing an application to connect to SQLite databases for the Windows Runtime platforms.
• Precompiled Binaries for .NET – these are some set of DLLs and .NET libraries that you can use them from .NET application to connect to SQLite databases.

SQLite Studio – Manager and Administration

There are lots of SQLite management tools that make working with SQLite databases easier. Instead of creating and managing databases using a command line, these tools provide a set of GUI tools that let you create and manage the database.

The official SQLite website has dozens of such tools listed; you can view them from here: SQLite Management Tools. Here is the recommended one

SQLite Studio: It is a portable tool that doesn’t require an installation. It supports both SQLite3 and SQLite2. You can easily import and export data to various formats like CSV, HTML, PDF, JSON. Its open source and supports Unicode.

Introducing Sample database

In the following steps, we will create the sample database that we will use throughout the tutorials:

Step 1) Open a text file and paste the following commands into it:

Step 2) Save the file as «TutorialsSampleDB.sql» in the following directory «C:\sqlite«.

Step 3) Open the Windows Command Line tool (cmd.exe) from the start menu, type «cmd» and open it.

Step 4) It will open in the default path, you need to navigate to the «C:\sqlite» folder we had created earlier in this tutorial by the following command «cd «C:\sqlite»:

Step 5) Write the following command,

The command should be completed successfully, and you should see no output after that command as the following screenshot:

SQLite

SQLite – компактная встраиваемая реляционная база данных. Исходный код библиотеки передан в общественное достояние. В 2005 году проект получил награду Google-O’Reilly Open Source Awards.

Слово «встраиваемый» (embedded) означает, что SQLite не использует парадигму клиент-сервер, то есть движок SQLite не является отдельно работающим процессом, с которым взаимодействует программа, а предоставляет библиотеку, с которой программа компонуется и движок становится составной частью программы. Таким образом, в качестве протокола обмена используются вызовы функций (API) библиотеки SQLite. Такой подход уменьшает накладные расходы, время отклика и упрощает программу. SQLite хранит всю базу данных (включая определения, таблицы, индексы и данные) в единственном стандартном файле на том компьютере, на котором исполняется программа. Простота реализации достигается за счёт того, что перед началом исполнения транзакции записи весь файл, хранящий базу данных, блокируется; ACID-функции достигаются в том числе за счёт создания файла журнала.

Несколько процессов или потоков могут одновременно без каких-либо проблем читать данные из одной базы. Запись в базу можно осуществить только в том случае, если никаких других запросов в данный момент не обслуживается; в противном случае попытка записи оканчивается неудачей, и в программу возвращается код ошибки. Другим вариантом развития событий является автоматическое повторение попыток записи в течение заданного интервала времени.

В комплекте поставки идёт также функциональная клиентская часть в виде исполняемого файла sqlite3, с помощью которого демонстрируется реализация функций основной библиотеки. Клиентская часть работает из командной строки, позволяет обращаться к файлу базы данных на основе типовых функций операционной системы.

Благодаря архитектуре движка возможно использовать SQLite как на встраиваемых системах, так и на выделенных машинах с гигабайтными массивами данных.

SQLite поддерживает динамическое типизирование данных. Возможные типы полей: INTEGER, REAL, TEXT, BLOB.

Использование SQLite

Сама библиотека SQLite написана на C; существует большое количество привязок к другим языкам программирования, в том числе Delphi, C++, Java, C#, Visual Basic .NET, Python, Perl, Node.js, PHP, PureBasic, Tcl (средства для работы с Tcl включены в комплект поставки SQLite), Ruby, Haskell, Scheme, Smalltalk, Lua for Windows и Parser, а также ко многим другим. Полный список существующих средств размещён на странице проекта.

Простота и удобство встраивания SQLite привели к тому, что библиотека используется в браузерах, музыкальных плеерах и многих других программах.

В частности, SQLite используют:

• Adobe AIR – среда для запуска приложений (частично);
• Gears;
• Autoit;
• Фреймворк Qt;
• Фреймворк Yii; (имеется в наличии);
• Платформа XUL на движке Gecko 1.9+, XULRunner 1.9+ и, потенциально, все приложения, основанные на этой платформе, в том числе:

• Skype;
• Некоторые модели GPS-навигаторов Garmin;
• Android API;
• Minetest.

Многие программы поддерживают SQLite в качестве формата хранения данных (особенно в Mac OS и iOS, Android), в том числе:

1. Getting Started

The SQLite project provides a simple command-line program named sqlite3 (or sqlite3.exe on Windows) that allows the user to manually enter and execute SQL statements against an SQLite database or against a ZIP archive. This document provides a brief introduction on how to use the sqlite3 program.

Start the sqlite3 program by typing «sqlite3» at the command prompt, optionally followed by the name the file that holds the SQLite database (or ZIP archive). If the named file does not exist, a new database file with the given name will be created automatically. If no database file is specified on the command-line, a temporary database is created, then deleted when the «sqlite3» program exits.

On startup, the sqlite3 program will show a brief banner message then prompt you to enter SQL. Type in SQL statements (terminated by a semicolon), press «Enter» and the SQL will be executed.

For example, to create a new SQLite database named «ex1» with a single table named «tbl1», you might do this:

Terminate the sqlite3 program by typing your system End-Of-File character (usually a Control-D). Use the interrupt character (usually a Control-C) to stop a long-running SQL statement.

Make sure you type a semicolon at the end of each SQL command! The sqlite3 program looks for a semicolon to know when your SQL command is complete. If you omit the semicolon, sqlite3 will give you a continuation prompt and wait for you to enter more text to be added to the current SQL command. This feature allows you to enter SQL commands that span multiple lines. For example:

2. Double-click Startup On Windows

Windows users can double-click on the sqlite3.exe icon to cause the command-line shell to pop-up a terminal window running SQLite. However, because double-clicking starts the sqlite3.exe without command-line arguments, no database file will have been specified, so SQLite will use a temporary database that is deleted when the session exits. To use a persistent disk file as the database, enter the «.open» command immediately after the terminal window starts up:

The example above causes the database file named «ex1.db» to be opened and used. The «ex1.db» file is created if it does not previously exist. You might want to use a full pathname to ensure that the file is in the directory that you think it is in. Use forward-slashes as the directory separator character. In other words use «c:/work/ex1.db», not «c:\work\ex1.db».

Alternatively, you can create a new database using the default temporary storage, then save that database into a disk file using the «.save» command:

Be careful when using the «.save» command as it will overwrite any preexisting database files having the same name without prompting for confirmation. As with the «.open» command, you might want to use a full pathname with forward-slash directory separators to avoid ambiguity.

3. Special commands to sqlite3 (dot-commands)

Most of the time, sqlite3 just reads lines of input and passes them on to the SQLite library for execution. But input lines that begin with a dot («.») are intercepted and interpreted by the sqlite3 program itself. These «dot commands» are typically used to change the output format of queries, or to execute certain prepackaged query statements. There were originally just a few dot commands, but over the years many new features have accumulated so that today there over 60.

For a listing of the available dot commands, you can enter «.help» with no arguments. Or enter «.help TOPIC» for detailed information about TOPIC. The list of available dot-commands follows:

4. Rules for «dot-commands»

Ordinary SQL statements are free-form, and can be spread across multiple lines, and can have whitespace and comments anywhere. Dot-commands are more restrictive:

• A dot-command must begin with the «.» at the left margin with no preceding whitespace.
• The dot-command must be entirely contained on a single input line.
• A dot-command cannot occur in the middle of an ordinary SQL statement. In other words, a dot-command cannot occur at a continuation prompt.
• Dot-commands do not recognize comments.

The arguments passed to dot-commands are parsed from the command tail, per these rules: Arguments are delimited by whitespace (excluding newline); Text bounded by a pair of single-quotes or double-quotes is treated as a single argument, with the quotes stripped; and, Within a double-quoted argument, traditional C-string literal, backslash escape sequence translation is done.

The dot-commands are interpreted by the sqlite3.exe command-line program, not by SQLite itself. So none of the dot-commands will work as an argument to SQLite interfaces like sqlite3_prepare() or sqlite3_exec().

5. Changing Output Formats

The sqlite3 program is able to show the results of a query in 14 different formats:

• ascii
• box
• csv
• column
• html
• insert
• json
• line
• list
• markdown
• quote
• table
• tabs
• tcl

You can use the «.mode» dot command to switch between these output formats. The default output mode is «list». In list mode, each row of a query result is written on one line of output and each column within that row is separated by a specific separator string. The default separator is a pipe symbol («|»). List mode is especially useful when you are going to send the output of a query to another program (such as AWK) for additional processing.

Use the «.separator» dot command to change the separator. For example, to change the separator to a comma and a space, you could do this:

The next «.mode» command will reset the «.separator» back to its default. So you will need repeat the «.separator» command whenever you change modes if you want to continue using a non-standard separator.

In «quote» mode, the output is formatted as SQL literals. Strings are enclosed in single-quotes and internal single-quotes are escaped by doubling. Blobs are displayed in hexadecimal blob literal notation (Ex: x’abcd’). Numbers are displayed as ASCII text and NULL values are shown as «NULL». All columns are separated from each other by a comma (or whatever alternative character is selected using «.separator»).

In «line» mode, each column in a row of the database is shown on a line by itself. Each line consists of the column name, an equal sign and the column data. Successive records are separated by a blank line. Here is an example of line mode output:

In column mode, each record is shown on a separate line with the data aligned in columns. For example:

In «column» mode (and also in «box», «table», and «markdown» modes) the width of columns adjusts automatically. But you can override this, providing a minimum width for each column using the «.width» command. The arguments to «.width» are integers which are the minimum number of spaces to devote to each column. Negative numbers mean right-justify. Thus:

A width of 0 means the column width is chosen automatically. Unspecified columns widths become zero. Hence, the command «.width» with no arguments resets all columns widths to zero and hence causes all column widths to be determine automatically.

The «column» mode is a tabular output format. Other tabular output formats are «box», «markdown», and «table»:

Another useful output mode is «insert». In insert mode, the output is formatted to look like SQL INSERT statements. Use insert mode to generate text that can later be used to input data into a different database.

When specifying insert mode, you have to give an extra argument which is the name of the table to be inserted into. For example:

Other output modes include «html», «json», and «tcl». Try these yourself to see what they do.

6. Querying the database schema

The sqlite3 program provides several convenience commands that are useful for looking at the schema of the database. There is nothing that these commands do that cannot be done by some other means. These commands are provided purely as a shortcut.

For example, to see a list of the tables in the database, you can enter «.tables».

The «.tables» command is similar to setting list mode then executing the following query:

But the «.tables» command does more. It queries the sqlite_schema table for all attached databases, not just the primary database. And it arranges its output into neat columns.

The «.indexes» command works in a similar way to list all of the indexes. If the «.indexes» command is given an argument which is the name of a table, then it shows just indexes on that table.

The «.schema» command shows the complete schema for the database, or for a single table if an optional tablename argument is provided:

The «.schema» command is roughly the same as setting list mode, then entering the following query:

As with «.tables», the «.schema» command shows the schema for all attached databases. If you only want to see the schema for a single database (perhaps «main») then you can add an argument to «.schema» to restrict its output:

The «.schema» command can be augmented with the «—indent» option, in which case it tries to reformat the various CREATE statements of the schema so that they are more easily readable by humans.

The «.databases» command shows a list of all databases open in the current connection. There will always be at least 2. The first one is «main», the original database opened. The second is «temp», the database used for temporary tables. There may be additional databases listed for databases attached using the ATTACH statement. The first output column is the name the database is attached with, and the second result column is the filename of the external file. There may be a third result column which will be either «‘r/o'» or «‘r/w'» depending of if the database file is read-only or read-write. And there might be fourth result column showing the result of sqlite3_txn_state() for that database file.

The «.fullschema» dot-command works like the «.schema» command in that it displays the entire database schema. But «.fullschema» also includes dumps of the statistics tables «sqlite_stat1», «sqlite_stat3», and «sqlite_stat4», if they exist. The «.fullschema» command normally provides all of the information needed to exactly recreate a query plan for a specific query. When reporting suspected problems with the SQLite query planner to the SQLite development team, developers are requested to provide the complete «.fullschema» output as part of the trouble report. Note that the sqlite_stat3 and sqlite_stat4 tables contain samples of index entries and so might contain sensitive data, so do not send the «.fullschema» output of a proprietary database over a public channel.

7. Redirecting I/O

7.1. Writing results to a file

By default, sqlite3 sends query results to standard output. You can change this using the «.output» and «.once» commands. Just put the name of an output file as an argument to .output and all subsequent query results will be written to that file. Or use the .once command instead of .output and output will only be redirected for the single next command before reverting to the console. Use .output with no arguments to begin writing to standard output again. For example:

If the first character of the «.output» or «.once» filename is a pipe symbol («|») then the remaining characters are treated as a command and the output is sent to that command. This makes it easy to pipe the results of a query into some other process. For example, the «open -f» command on a Mac opens a text editor to display the content that it reads from standard input. So to see the results of a query in a text editor, one could type:

If the «.output» or «.once» commands have an argument of «-e» then output is collected into a temporary file and the system text editor is invoked on that text file. Thus, the command «.once -e» achieves the same result as «.once ‘|open -f'» but with the benefit of being portable across all systems.

If the «.output» or «.once» commands have a «-x» argument, that causes them to accumulate output as Comma-Separated-Values (CSV) in a temporary file, then invoke the default system utility for viewing CSV files (usually a spreadsheet program) on the result. This is a quick way of sending the result of a query to a spreadsheet for easy viewing:

The «.excel» command is an alias for «.once -x». It does exactly the same thing.

7.2. Reading SQL from a file

In interactive mode, sqlite3 reads input text (either SQL statements or dot-commands) from the keyboard. You can also redirect input from a file when you launch sqlite3, of course, but then you do not have the ability to interact with the program. Sometimes it is useful to run an SQL script contained in a file entering other commands from the command-line. For this, the «.read» dot-command is provided.

The «.read» command takes a single argument which is (usually) the name of a file from which to read input text.

The «.read» command temporarily stops reading from the keyboard and instead takes its input from the file named. Upon reaching the end of the file, input reverts back to the keyboard. The script file may contain dot-commands, just like ordinary interactive input.

If the argument to «.read» begins with the «|» character, then instead of opening the argument as a file, it runs the argument (without the leading «|») as a command, then uses the output of that command as its input. Thus, if you have a script that generates SQL, you can execute that SQL directly using a command similar to the following:

7.3. File I/O Functions

The command-line shell adds two application-defined SQL functions that facilitate reading content from a file into a table column, and writing the content of a column into a file, respectively.

The readfile(X) SQL function reads the entire content of the file named X and returns that content as a BLOB. This can be used to load content into a table. For example:

The writefile(X,Y) SQL function write the blob Y into the file named X and returns the number of bytes written. Use this function to extract the content of a single table column into a file. For example:

Note that the readfile(X) and writefile(X,Y) functions are extension functions and are not built into the core SQLite library. These routines are available as a loadable extension in the ext/misc/fileio.c source file in the SQLite source code repositories.

7.4. The edit() SQL function

The CLI has another build-in SQL function named edit(). Edit() takes one or two arguments. The first argument is a value — usually a large multi-line string to be edited. The second argument is the name of a text editor. If the second argument is omitted, the VISUAL environment variable is used. The edit() function writes its first argument into a temporary file, invokes the editor on the temporary file, rereads the file back into memory after the editor is done, then returns the edited text.

The edit() function can be used to make changes to large text values. For example:

In this example, the content of the docs.body field for the entry where docs.name is «report-15» will be sent to the editor. After the editor returns, the result will be written back into the docs.body field.

The default operation of edit() is to invoke a text editor. But by using an alternative edit program in the second argument, you can also get it to edit images or other non-text resources. For example, if you want to modify a JPEG image that happens to be stored in a field of a table, you could run:

The edit program can also be used as a viewer, by simply ignoring the return value. For example, to merely look at the image above, you might run:

7.5. Importing CSV files

Use the «.import» command to import CSV (comma separated value) data into an SQLite table. The «.import» command takes two arguments which are the source from which CSV data is to be read and the name of the SQLite table into which the CSV data is to be inserted. The source argument is the name of a file to be read or, if it begins with a «|» character, specifies a command which will be run to produce the input CSV data.

Note that it is important to set the «mode» to «csv» before running the «.import» command. This is necessary to prevent the command-line shell from trying to interpret the input file text as some other format.

There are two cases to consider: (1) Table «tab1» does not previously exist and (2) table «tab1» does already exist.

In the first case, when the table does not previously exist, the table is automatically created and the content of the first row of the input CSV file is used to determine the name of all the columns in the table. In other words, if the table does not previously exist, the first row of the CSV file is interpreted to be column names and the actual data starts on the second row of the CSV file.

For the second case, when the table already exists, every row of the CSV file, including the first row, is assumed to be actual content. If the CSV file contains an initial row of column labels, you can cause the .import command to skip that initial row using the «—skip 1» option.

7.6. Export to CSV

To export an SQLite table (or part of a table) as CSV, simply set the «mode» to «csv» and then run a query to extract the desired rows of the table.

In the example above, the «.headers on» line causes column labels to be printed as the first row of output. This means that the first row of the resulting CSV file will contain column labels. If column labels are not desired, set «.headers off» instead. (The «.headers off» setting is the default and can be omitted if the headers have not been previously turned on.)

The line «.once FILENAME» causes all query output to go into the named file instead of being printed on the console. In the example above, that line causes the CSV content to be written into a file named «C:/work/dataout.csv».

The final line of the example (the «.system c:/work/dataout.csv») has the same effect as double-clicking on the c:/work/dataout.csv file in windows. This will typically bring up a spreadsheet program to display the CSV file.

That command only works as written on Windows. The equivalent line on a Mac would be:

On Linux and other unix systems you will need to enter something like:

7.6.1. Export to Excel

To simplify export to a spreadsheet, the CLI provides the «.excel» command which captures the output of a single query and sends that output to the default spreadsheet program on the host computer. Use it like this:

The command above writes the output of the query as CSV into a temporary file, invokes the default handler for CSV files (usually the preferred spreadsheet program such as Excel or LibreOffice), then deletes the temporary file. This is essentially a short-hand method of doing the sequence of «.csv», «.once», and «.system» commands described above.

The «.excel» command is really an alias for «.once -x». The -x option to .once causes it to writes results as CSV into a temporary file that is named with a «.csv» suffix, then invoke the systems default handler for CSV files.

There is also a «.once -e» command which works similarly, except that it names the temporary file with a «.txt» suffix so that the default text editor for the system will be invoked, instead of the default spreadsheet.

8. Accessing ZIP Archives As Database Files

In addition to reading and writing SQLite database files, the sqlite3 program will also read and write ZIP archives. Simply specify a ZIP archive filename in place of an SQLite database filename on the initial command line, or in the «.open» command, and sqlite3 will automatically detect that the file is a ZIP archive instead of an SQLite database and will open it as such. This works regardless of file suffix. So you can open JAR, DOCX, and ODP files and any other file format that is really a ZIP archive and SQLite will read it for you.

A ZIP archive appears to be a database containing a single table with the following schema:

So, for example, if you wanted to see the compression efficiency (expressed as the size of the compressed content relative to the original uncompressed file size) for all files in the ZIP archive, sorted from most compressed to least compressed, you could run a query like this:

Or using file I/O functions, you can extract elements of the ZIP archive:

8.1. How ZIP archive access is implemented

The command-line shell uses the Zipfile virtual table to access ZIP archives. You can see this by running the «.schema» command when a ZIP archive is open:

When opening a file, if the command-line client discovers that the file is ZIP archive instead of an SQLite database, it actually opens an in-memory database and then in that in-memory database it creates an instance of the Zipfile virtual table that is attached to the ZIP archive.

The special processing for opening ZIP archives is a trick of the command-line shell, not the core SQLite library. So if you want to open a ZIP archive as a database in your application, you will need to activate the Zipfile virtual table module then run an appropriate CREATE VIRTUAL TABLE statement.

9. Converting An Entire Database To An ASCII Text File

Use the «.dump» command to convert the entire contents of a database into a single ASCII text file. This file can be converted back into a database by piping it back into sqlite3.

A good way to make an archival copy of a database is this:

This generates a file named ex1.dump.gz that contains everything you need to reconstruct the database at a later time, or on another machine. To reconstruct the database, just type:

The text format is pure SQL so you can also use the .dump command to export an SQLite database into other popular SQL database engines. Like this:

10. Recover Data From a Corrupted Database

Like the «.dump» command, «.recover» attempts to convert the entire contents of a database file to text. The difference is that instead of reading data using the normal SQL database interface, «.recover» attempts to reassemble the database based on data extracted directly from as many database pages as possible. If the database is corrupt, «.recover» is usually able to recover data from all uncorrupted parts of the database, whereas «.dump» stops when the first sign of corruption is encountered.

If the «.recover» command recovers one or more rows that it cannot attribute to any database table, the output script creates a «lost_and_found» table to store the orphaned rows. The schema of the lost_and_found table is as follows:

The «lost_and_found» table contains one row for each orphaned row recovered from the database. Additionally, there is one row for each recovered index entry that cannot be attributed to any SQL index. This is because, in an SQLite database, the same format is used to store SQL index entries and WITHOUT ROWID table entries.

Column	Contents
rootpgno	Even though it may not be possible to attribute the row to a specific database table, it may be part of a tree structure within the database file. In this case, the root page number of that tree structure is stored in this column. Or, if the page the row was found on is not part of a tree structure, this column stores a copy of the value in column «pgno» — the page number of the page the row was found on. In many, although not all, cases, all rows in the lost_and_found table with the same value in this column belong to the same table.
pgno	The page number of the page on which this row was found.
nfield	The number of fields in this row.
id	If the row comes from a WITHOUT ROWID table, this column contains NULL. Otherwise, it contains the 64-bit integer rowid value for the row.
c0, c1, c2.	The values for each column of the row are stored in these columns. The «.recover» command creates the lost_and_found table with as many columns as required by the longest orphaned row.

If the recovered database schema already contains a table named «lost_and_found», the «.recover» command uses the name «lost_and_found0». If the name «lost_and_found0» is also already taken, «lost_and_found1», and so on. The default name «lost_and_found» may be overridden by invoking «.recover» with the —lost-and-found switch. For example, to have the output script call the table «orphaned_rows»:

11. Loading Extensions

You can add new custom application-defined SQL functions, collating sequences, virtual tables, and VFSes to the command-line shell at run-time using the «.load» command. First, convert the extension in to a DLL or shared library (as described in the Run-Time Loadable Extensions document) then type:

Note that SQLite automatically adds the appropriate extension suffix («.dll» on windows, «.dylib» on Mac, «.so» on most other unixes) to the extension filename. It is generally a good idea to specify the full pathname of the extension.

SQLite computes the entry point for the extension based on the extension filename. To override this choice, simply add the name of the extension as a second argument to the «.load» command.

Source code for several useful extensions can be found in the ext/misc subdirectory of the SQLite source tree. You can use these extensions as-is, or as a basis for creating your own custom extensions to address your own particular needs.

12. Cryptographic Hashes Of Database Content

The «.sha3sum» dot-command computes a SHA3 hash of the content of the database. To be clear, the hash is computed over the database content, not its representation on disk. This means, for example, that a VACUUM or similar data-preserving transformation does not change the hash.

The «.sha3sum» command supports options «—sha3-224», «—sha3-256», «—sha3-384», and «—sha3-512» to define which variety of SHA3 to use for the hash. The default is SHA3-256.

The database schema (in the sqlite_schema table) is not normally included in the hash, but can be added by the «—schema» option.

The «.sha3sum» command takes a single optional argument which is a LIKE pattern. If this option is present, only tables whose names match the LIKE pattern will be hashed.

The «.sha3sum» command is implemented with the help of the extension function «sha3_query()» that is included with the command-line shell.

13. Database Content Self-Tests

The «.selftest» command attempts to verify that a database is intact and is not corrupt. The .selftest command looks for a table in schema named «selftest» and defined as follows:

The .selftest command reads the rows of the selftest table in selftest.tno order. For each ‘memo’ row, it writes the text in ‘cmd’ to the output. For each ‘run’ row, it runs the ‘cmd’ text as SQL and compares the result to the value in ‘ans’, and shows an error message if the results differ.

If there is no selftest table, the «.selftest» command runs PRAGMA integrity_check.

The «.selftest —init» command creates the selftest table if it does not already exists, then appends entries that check the SHA3 hash of the content of all tables. Subsequent runs of «.selftest» will verify that the database has not been changed in any way. To generates tests to verify that a subset of the tables are unchanged, simply run «.selftest —init» then DELETE the selftest rows that refer to tables that are not constant.

14. SQLite Archive Support

The «.archive» dot-command and the «-A» command-line option provide built-in support for the SQLite Archive format. The interface is similar to that of the «tar» command on unix systems. Each invocation of the «.ar» command must specify a single command option. The following commands are available for «.archive»:

Option	Long Option	Purpose
-c	—create	Create a new archive containing specified files.
-x	—extract	Extract specified files from archive.
-i	—insert	Add files to existing archive.
-t	—list	List the files in the archive.
-u	—update	Add files to existing archive if they have changed.

As well as the command option, each invocation of «.ar» may specify one or more modifier options. Some modifier options require an argument, some do not. The following modifier options are available:

Option	Long Option	Purpose
-v	—verbose	List each file as it is processed.
-f FILE	—file FILE	If specified, use file FILE as the archive. Otherwise, assume that the current «main» database is the archive to be operated on.
-a FILE	—append FILE	Like —file, use file FILE as the archive, but open the file using the apndvfs VFS so that the archive will be appended to the end of FILE if FILE already exists.
-C DIR	—directory DIR	If specified, interpret all relative paths as relative to DIR, instead of the current working directory.
-n	—dryrun	Show the SQL that would be run to carry out the archive operation, but do not actually change anything.
—	—	All subsequent command line words are command arguments, not options.

For command-line usage, add the short style command-line options immediately following the «-A», without an intervening space. All subsequent arguments are considered to be part of the .archive command. For example, the following commands are equivalent:

Long and short style options may be mixed. For example, the following are equivalent:

Alternatively, the first argument following to «.ar» may be the concatenation of the short form of all required options (without the «-» characters). In this case arguments for options requiring them are read from the command line next, and any remaining words are considered command arguments. For example:

14.1. SQLite Archive Create Command

Create a new archive, overwriting any existing archive (either in the current «main» db or in the file specified by a —file option). Each argument following the options is a file to add to the archive. Directories are imported recursively. See above for examples.

14.2. SQLite Archive Extract Command

Extract files from the archive (either to the current working directory or to the directory specified by a —directory option). If there are no arguments following the options all files are extracted from the archive. Or, if there are arguments, they are the names of files to extract from the archive. Any specified directories are extracted recursively. It is an error if any specified files are not part of the archive.

14.3. SQLite Archive List Command

List the contents of the archive. If no arguments are specified, then all files are listed. Otherwise, only those specified as arguments are. Currently, the —verbose option does not change the behaviour of this command. That may change in the future.

14.4. SQLite Archive Insert And Update Commands

The —update and —insert commands work like —create command, except that they do not delete the current archive before commencing. New versions of files silently replace existing files with the same names, but otherwise the initial contents of the archive (if any) remain intact.

For the —insert command, all files listed are inserted into the archive. For the —update command, files are only inserted if they do not previously exist in the archive, or if their «mtime» or «mode» is different from what is currently in the archive.

Compatibility node: Prior to SQLite version 3.28.0 (2019-04-16) only the —update option was supported but that option worked like —insert in that it always reinserted every file regardless of whether or not it had changed.

14.5. Operations On ZIP Archives

If FILE is a ZIP archive rather than an SQLite Archive, the «.archive» command and the «-A» command-line option still work. This is accomplished using of the zipfile extension. Hence, the following commands are roughly equivalent, differing only in output formatting:

Traditional Command	Equivalent sqlite3.exe Command
unzip archive.zip	sqlite3 -Axf archive.zip
unzip -l archive.zip	sqlite3 -Atvf archive.zip
zip -r archive2.zip dir	sqlite3 -Acf archive2.zip dir

14.6. SQL Used To Implement SQLite Archive Operations

The various SQLite Archive Archive commands are implemented using SQL statements. Application developers can easily add SQLite Archive Archive reading and writing support to their own projects by running the appropriate SQL.

To see what SQL statements are used to implement an SQLite Archive operation, add the —dryrun or -n option. This causes the SQL to be displayed but inhibits the execution of the SQL.

The SQL statements used to implement SQLite Archive operations make use of various loadable extensions. These extensions are all available in the SQLite source tree in the ext/misc/ subfolder. The extensions needed for full SQLite Archive support include:

fileio.c — This extension adds SQL functions readfile() and writefile() for reading and writing content from files on disk. The fileio.c extension also includes fsdir() table-valued function for listing the contents of a directory and the lsname() function for converting numeric st_mode integers from the stat() system call into human-readable strings after the fashion of the «ls -l» command.

sqlar.c — This extension adds the sqlar_compress() and sqlar_uncompress() functions that are needed to compress and uncompress file content as it is insert and extracted from an SQLite Archive.

zipfile.c — This extension implements the «zipfile(FILE)» table-valued function which is used to read ZIP archives. This extension is only needed when reading ZIP archives instead of SQLite archives.

appendvfs.c — This extension implements a new VFS that allows an SQLite database to be appended to some other file, such as an executable. This extension is only needed if the —append option to the .archive command is used.

15. SQL Parameters

SQLite allows bound parameters to appear in an SQL statement anywhere that a literal value is allowed. The values for these parameters are set using the sqlite3_bind_. () family of APIs.

Parameters can be either named or unnamed. An unnamed parameter is a single question mark («?»). Named parameters are a «?» followed immediately by a number (ex: «?15» or «?123») or one of the characters «$», «:», or «@» followed by an alphanumeric name (ex: «$var1», «:xyz», «@bingo»).

This command-line shell leaves unnamed parameters unbound, meaning that they will have a value of an SQL NULL, but named parameters might be assigned values. If there exists a TEMP table named «sqlite_parameters» with a schema like this:

And if there is an entry in that table where the key column exactly matches the name of parameter (including the initial «?», «$», «:», or «@» character) then the parameter is assigned the value of the value column. If no entry exists, the parameter defaults to NULL.

The «.parameter» command exists to simplify managing this table. The «.parameter init» command (often abbreviated as just «.param init») creates the temp.sqlite_parameters table if it does not already exist. The «.param list» command shows all entries in the temp.sqlite_parameters table. The «.param clear» command drops the temp.sqlite_parameters table. The «.param set KEY VALUE» and «.param unset KEY» commands create or delete entries from the temp.sqlite_parameters table.

The temp.sqlite_parameters table only provides values for parameters in the command-line shell. The temp.sqlite_parameter table has no effect on queries that are run directly using the SQLite C-language API. Individual applications are expected to implement their own parameter binding. You can search for «sqlite_parameters» in the command-line shell source code to see how the command-line shell does parameter binding, and use that as a hint for how to implement it yourself.

16. Index Recommendations (SQLite Expert)

Note: This command is experimental. It may be removed or the interface modified in incompatible ways at some point in the future.

For most non-trivial SQL databases, the key to performance is creating the right SQL indexes. In this context «the right SQL indexes» means those that cause the queries that an application needs to optimize run fast. The «.expert» command can assist with this by proposing indexes that might assist with specific queries, were they present in the database.

The «.expert» command is issued first, followed by the SQL query on a separate line. For example, consider the following session:

In the above, the user creates the database schema (a single table — «x1»), and then uses the «.expert» command to analyze a query, in this case «SELECT * FROM x1 WHERE a=? AND b>?». The shell tool recommends that the user create a new index (index «x1_idx_000123a7») and outputs the plan that the query would use in EXPLAIN QUERY PLAN format. The user then creates an index with an equivalent schema and runs the analysis on the same query again. This time the shell tool does not recommend any new indexes, and outputs the plan that SQLite will use for the query given the existing indexes.

The «.expert» command accepts the following options:

Option	Purpose
—verbose	If present, output a more verbose report for each query analyzed.
—sample PERCENT	By default, the «.expert» command recommends indexes based on the query and database schema alone. This is similar to the way the SQLite query planner selects indexes for queries if the user has not run the ANALYZE command on the database to generate data distribution statistics. Th functionality described in this section may be integrated into other applications or tools using the SQLite expert extension code. 17. Other Dot Commands There are many other dot-commands available in the command-line shell. See the «.help» command for a complete list for any particular version and build of SQLite. 18. Using sqlite3 in a shell script One way to use sqlite3 in a shell script is to use «echo» or «cat» to generate a sequence of commands in a file, then invoke sqlite3 while redirecting input from the generated command file. This works fine and is appropriate in many circumstances. But as an added convenience, sqlite3 allows a single SQL command to be entered on the command line as a second argument after the database name. When the sqlite3 program is launched with two arguments, the second argument is passed to the SQLite library for processing, the query results are printed on standard output in list mode, and the program exits. This mechanism is designed to make sqlite3 easy to use in conjunction with programs like «awk». For example: 19. Ending shell commands SQLite commands are normally terminated by a semicolon. In the shell you can also use the word «GO» (case-insensitive) or a slash character «/» on a line by itself to end a command. These are used by SQL Server and Oracle, respectively. These won’t work in sqlite3_exec(), because the shell translates these into a semicolon before passing them to that function. 20. Compiling the sqlite3 program from sources To compile the command-line shell on unix systems and on Windows with MinGW, the usual configure-make command works: The configure-make works whether your are building from the canonical sources from the source tree, or from an amalgamated bundle. There are few dependencies. When building from canonical sources, a working tclsh is required. If using an amalgamation bundle, all the preprocessing work normally done by tclsh will have already been carried out and only normal build tools are required. A working zlib compression library is needed in order for the .archive command to operate. On Windows with MSVC, use nmake with the Makefile.msc: For correct operation of the .archive command, make a copy of the zlib source code into the compat/zlib subdirectory of the source tree and compile this way: 20.1. Do-It-Yourself Builds The source code to the sqlite3 command line interface is in a single file named «shell.c». The shell.c source file is generated from other sources, but most of the code for shell.c can be found in src/shell.c.in. (Regenerate shell.c by typing «make shell.c» from the canonical source tree.) Compile the shell.c file (together with the sqlite3 library source code) to generate the executable. For example: The following additional compile-time options are recommended in order to provide a full-featured command-line shell: Оцените статью Вам также может понравиться Windows или Linux: Что лучше выбрать? Есть много причин выбирать между Windows и Linux, но Файл владелец изменить linux Команда Chown в Linux Chown Command in Linux (File Установка шлюза по умолчанию linux Настройка сети вручную Содержание Краткое описание Чем разбить диск для linux ИТ База знаний Курс по Asterisk Полезно — Узнать IP — Правообладателям Политика конфиденциальности Контакты