Как узнать версию sqlite3
Как найти версию файла базы данных SQLITE
У меня есть немного sqlite файлов базы данных. Я хочу знать версию файла базы данных т.е. если база данных была создана с sqlite2 или sqlite3 или какой-либо другой main/sub версией (не sqlite библиотека или драйвер или user_version или schema_version).
9 ответов
Можно записать эту команду в любом sqlite проводнике, который даст sqlite версию
Можно получить номер версии файла базы данных Magic Header String :
более легкий путь использует эти file команда:
Получите user_version: выполнение sql: PRAGMA user_version;
Получают schema_version: PRAGMA schema_version;
, Когда создают файл базы данных (.db), user_version может быть установлен пользователем.
Корректный ответ от версии 3 sqlite программы:
Если у Вас есть передача данных к нему в Visual Studio, можно щелкнуть правой кнопкой по базе данных в Проводнике Сервера, выбрать свойства, и версию покажут в окне свойств, (под Версией, удивительно). Вы, возможно, должны были бы щелкнуть левой кнопкой по базе данных сначала для открытия его.
Необходимо открыться, оболочка Python затем пишут эти шаги:
Проверьте ручной файл
sqlite3.version номер версии этого модуля как строка. Это не версия библиотеки SQLite.
sqlite3.version_info номер версии этого модуля, как кортеж целых чисел. Это не версия библиотеки SQLite.
sqlite3.sqlite_version номер версии библиотеки SQLite во время выполнения, как строка.
sqlite3.sqlite_version_info номер версии библиотеки SQLite во время выполнения, как кортеж целых чисел.
Как узнать версию файла базы данных SQLITE
У меня есть несколько файлов базы данных sqlite. Я хочу знать версию файла базы данных, т.е. была ли база данных создана с помощью sqlite2 или sqlite3 или любой другой основной / дополнительной версии (а не библиотеки sqlite или драйвера, user_version или schema_version).
Вы можете написать эту команду в любом проводнике sqlite, который предоставит версию sqlite
Вы можете получить номер версии файла базы данных Magic Header String :
Получить user_version: запустить sql: PRAGMA user_version;
Получите schema_version: PRAGMA schema_version;
При создании файла базы данных (.db) user_version может быть установлен пользователем.
Правильный ответ программы sqlite версии 3:
Я обнаружил, что это самый простой способ определить версию sqlite. Запустите Python IDLE Shell, затем сделайте следующее:
Вам нужно открыть оболочку Python и написать следующие шаги:
Если у вас есть подключение к нему в Visual Studio, вы можете щелкнуть правой кнопкой мыши базу данных в Server Explorer, выбрать свойства, и версия будет отображаться в окне свойств (как ни странно). Возможно, вам придется сначала щелкнуть базу данных левой кнопкой мыши, чтобы открыть ее.
Проверить файл руководства
sqlite3.version Номер версии этого модуля в виде строки. Это не версия библиотеки SQLite.
sqlite3.version_info Номер версии этого модуля в виде набора целых чисел. Это не версия библиотеки SQLite.
sqlite3.sqlite_version Номер версии библиотеки времени выполнения SQLite в виде строки.
sqlite3.sqlite_version_info Номер версии библиотеки времени выполнения SQLite в виде кортежа целых чисел.
Как узнать версию sqlite3 в приложении rails 3 под windows?
Это, кажется, простой вопрос. Однако нам трудно найти ответ. Попробовал rails dbconsole и это дает ошибку:
1 ответ
Я запускаю проект Django, используя sqlite в качестве одной из баз данных. Я хотел бы запустить самую последнюю версию SQLite при запуске проекта. Под этим я подразумеваю самый последний двоичный файл sqlite, а не библиотеку sqlite python. У меня есть локальный двоичный файл sqlite3, который не.
bundle show sqlite3 покажет вам версию gem, которую вы используете.
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How to find SQLITE database file version
I have few sqlite database files. I want to know the database file version i.e if the database was created with sqlite2 or sqlite3 or any other main/sub version (not the sqlite library or driver or user_version or schema_version).
9 Answers 9
You can write this command in any sqlite explorer which will give the sqlite version
You can get version number of a database file by the Magic Header String :
The easier way is using the file command:
Get user_version: run sql: PRAGMA user_version;
Get schema_version: PRAGMA schema_version;
When create database file (.db), user_version can be set by user.
The correct answer from version 3 of sqlite program is:
You can extract the information from the header file. It will require you to open the database file ‘by hand’ but I don’t know if there is an API function to get this information.
You have to open the python shell then write these steps:
I found this to be the easiest method to determine the version of sqlite. Run the Python IDLE Shell, then do the following:
In my case it was 2.6.0. Hope this helps. Mark
If you have a data connection to it in Visual Studio, you can right click on the data base in Server Explorer, select properties, and the version will be shown in the properties window, (under Version, surprisingly). You might need to left click the database first to open it.
sqlite3.version The version number of this module, as a string. This is not the version of the SQLite library.
sqlite3.version_info The version number of this module, as a tuple of integers. This is not the version of the SQLite library.
sqlite3.sqlite_version The version number of the run-time SQLite library, as a string.
sqlite3.sqlite_version_info The version number of the run-time SQLite library, as a tuple of integers.
Как узнать версию sqlite3
Editorial Note: This document was written in 2004 as a guide to programmers who were transitioning from SQLite2 to SQLite3. It is retained as part of the historical record of SQLite. Modern programmers should refer to more up-to-date documentation on SQLite available elsewhere on this website. |
SQLite Version 3 Overview
SQLite version 3.0 introduces important changes to the library, including:
This document is a quick introduction to the changes for SQLite 3.0 for users who are already familiar with SQLite version 2.8.
Naming Changes
SQLite version 2.8 will continue to be supported with bug fixes for the foreseeable future. In order to allow SQLite version 2.8 and SQLite version 3.0 to peacefully coexist, the names of key files and APIs in SQLite version 3.0 have been changed to include the character «3». For example, the include file used by C programs has been changed from «sqlite.h» to «sqlite3.h». And the name of the shell program used to interact with databases has been changed from «sqlite.exe» to «sqlite3.exe». With these changes, it is possible to have both SQLite 2.8 and SQLite 3.0 installed on the same system at the same time. And it is possible for the same C program to link against both SQLite 2.8 and SQLite 3.0 at the same time and to use both libraries at the same time.
New File Format
The format used by SQLite database files has been completely revised. The old version 2.1 format and the new 3.0 format are incompatible with one another. Version 2.8 of SQLite will not read a version 3.0 database files and version 3.0 of SQLite will not read a version 2.8 database file.
To convert an SQLite 2.8 database into an SQLite 3.0 database, have ready the command-line shells for both version 2.8 and 3.0. Then enter a command like the following:
The new database file format uses B+trees for tables. In a B+tree, all data is stored in the leaves of the tree instead of in both the leaves and the intermediate branch nodes. The use of B+trees for tables allows for better scalability and the storage of larger data fields without the use of overflow pages. Traditional B-trees are still used for indices.
The new file format also supports variable pages sizes between 512 and 65536 bytes. The size of a page is stored in the file header so the same library can read databases with different pages sizes, in theory, though this feature has not yet been implemented in practice.
The new file format omits unused fields from its disk images. For example, indices use only the key part of a B-tree record and not the data. So for indices, the field that records the length of the data is omitted. Integer values such as the length of key and data are stored using a variable-length encoding so that only one or two bytes are required to store the most common cases but up to 64-bits of information can be encoded if needed. Integer and floating point data is stored on the disk in binary rather than being converted into ASCII as in SQLite version 2.8. These changes taken together result in database files that are typically 25% to 35% smaller than the equivalent files in SQLite version 2.8.
Details of the low-level B-tree format used in SQLite version 3.0 can be found in header comments to the btreeInt.h source file and in the file format documentation.
Manifest Typing and BLOB Support
SQLite version 2.8 will deal with data in various formats internally, but when writing to the disk or interacting through its API, SQLite 2.8 always converts data into ASCII text. SQLite 3.0, in contrast, exposes its internal data representations to the user and stores binary representations to disk when appropriate. The exposing of non-ASCII representations was added in order to support BLOBs.
SQLite version 2.8 had the feature that any type of data could be stored in any table column regardless of the declared type of that column. This feature is retained in version 3.0, though in a slightly modified form. Each table column will store any type of data, though columns have an affinity for the format of data defined by their declared datatype. When data is inserted into a column, that column will make an attempt to convert the data format into the column’s declared type. All SQL database engines do this. The difference is that SQLite 3.0 will still store the data even if a format conversion is not possible.
For example, if you have a table column declared to be of type «INTEGER» and you try to insert a string, the column will look at the text string and see if it looks like a number. If the string does look like a number it is converted into a number and into an integer if the number does not have a fractional part, and stored that way. But if the string is not a well-formed number it is still stored as a string. A column with a type of «TEXT» tries to convert numbers into an ASCII-Text representation before storing them. But BLOBs are stored in TEXT columns as BLOBs because you cannot in general convert a BLOB into text.
Additional information about datatypes in SQLite version 3.0 is available separately.
Support for UTF-8 and UTF-16
The new API for SQLite 3.0 contains routines that accept text as both UTF-8 and UTF-16 in the native byte order of the host machine. Each database file manages text as either UTF-8, UTF-16BE (big-endian), or UTF-16LE (little-endian). Internally and in the disk file, the same text representation is used everywhere. If the text representation specified by the database file (in the file header) does not match the text representation required by the interface routines, then text is converted on-the-fly. Constantly converting text from one representation to another can be computationally expensive, so it is suggested that programmers choose a single representation and stick with it throughout their application.
In the current implementation of SQLite, the SQL parser only works with UTF-8 text. So if you supply UTF-16 text it will be converted. This is just an implementation issue and there is nothing to prevent future versions of SQLite from parsing UTF-16 encoded SQL natively.
When creating new user-defined SQL functions and collating sequences, each function or collating sequence can specify if it works with UTF-8, UTF-16be, or UTF-16le. Separate implementations can be registered for each encoding. If an SQL function or collating sequence is required but a version for the current text encoding is not available, then the text is automatically converted. As before, this conversion takes computation time, so programmers are advised to pick a single encoding and stick with it in order to minimize the amount of unnecessary format juggling.
SQLite is not particular about the text it receives and is more than happy to process text strings that are not normalized or even well-formed UTF-8 or UTF-16. Thus, programmers who want to store ISO8859 data can do so using the UTF-8 interfaces. As long as no attempts are made to use a UTF-16 collating sequence or SQL function, the byte sequence of the text will not be modified in any way.
User-defined Collating Sequences
A collating sequence is just a defined order for text. When SQLite 3.0 sorts (or uses a comparison operator like » =») the sort order is first determined by the data type.
Collating sequences are used for comparing two text strings. The collating sequence does not change the ordering of NULLs, numbers, or BLOBs, only text.
A collating sequence is implemented as a function that takes the two strings being compared as inputs and returns negative, zero, or positive if the first string is less than, equal to, or greater than the second. SQLite 3.0 comes with a single built-in collating sequence named «BINARY» which is implemented using the memcmp() routine from the standard C library. The BINARY collating sequence works well for English text. For other languages or locales, alternative collating sequences may be preferred.
The decision of which collating sequence to use is controlled by the COLLATE clause in SQL. A COLLATE clause can occur on a table definition, to define a default collating sequence to a table column, or on field of an index, or in the ORDER BY clause of a SELECT statement. Planned enhancements to SQLite are to include standard CAST() syntax to allow the collating sequence of an expression to be defined.
64-bit ROWIDs
Every row of a table has a unique rowid. If the table defines a column with the type «INTEGER PRIMARY KEY» then that column becomes an alias for the rowid. But with or without an INTEGER PRIMARY KEY column, every row still has a rowid.
In SQLite version 3.0, the rowid is a 64-bit signed integer. This is an expansion of SQLite version 2.8 which only permitted rowids of 32-bits.
To minimize storage space, the 64-bit rowid is stored as a variable length integer. Rowids between 0 and 127 use only a single byte. Rowids between 0 and 16383 use just 2 bytes. Up to 2097152 uses three bytes. And so forth. Negative rowids are allowed but they always use nine bytes of storage and so their use is discouraged. When rowids are generated automatically by SQLite, they will always be non-negative.
Improved Concurrency
SQLite version 2.8 allowed multiple simultaneous readers or a single writer but not both. SQLite version 3.0 allows one process to begin writing the database while other processes continue to read. The writer must still obtain an exclusive lock on the database for a brief interval in order to commit its changes, but the exclusive lock is no longer required for the entire write operation. A more detailed report on the locking behavior of SQLite version 3.0 is available separately.
A limited form of table-level locking is now also available in SQLite. If each table is stored in a separate database file, those separate files can be attached to the main database (using the ATTACH command) and the combined databases will function as one. But locks will only be acquired on individual files as needed. So if you redefine «database» to mean two or more database files, then it is entirely possible for two processes to be writing to the same database at the same time. To further support this capability, commits of transactions involving two or more ATTACHed database are now atomic.
Credits
SQLite version 3.0 is made possible in part by AOL developers supporting and embracing great Open-Source Software.