I am trying to open a very large dataset in SQLite. It has no extension. Now I cannot open it in SQLite. How can I do it? What will be the command and where should I place that dataset file?
I searched over the net but couldn't get the appropriate command for the opening and viewing the dataset.
SQLite does not have datasets, it has databases. Command line tool to operate on databases is sqlite3, it will open SQLite database even if it does not have an extension, but it must be valid SQLite database, that is, it should have string SQLite Format 3 as first bytes in database file.
In other words, use this:
sqlite3 yourdatabase
sqlite> .tables
a b c
sqlite> SELECT * FROM a LIMIT 10
...
You can also use numerous SQLite tools and libraries for different programming languages like C/C++, Java, Perl, Python, etc. to access that database.
Related
When I use the .read FILENAME command in sqlite it will read commands from a .sql file no problem
but when that file contains further .read FILENAME commands sqlite will not read those files.
It seems like the .read FILENAME command can only be used in the command line.
So Am I meant to place all my table creation commands in the one file?
if so what sort of craziness is that?
PS I am using command line SQLite for purposes of getting my database schema sorted before using sqlite with a programming language.
Yes, dot-commands like .read are part of the sqlite3 shell and not a feature of SQL as recognized by sqlite. The .read command just executes the SQL in the file, it does not execute it as a sqlite3 command shell file.
So Am I meant to place all my table creation commands in the one file?
That seems like a reasonable thing to do, especially since later at this point:
PS I am using command line SQLite for purposes of getting my database schema sorted before using sqlite with a programming language.
... you won't have sqlite3 shell available at all and are restricted to SQL only.
I'm trying to open a .sqlite file on Windows, but I don't know how to. Do you know a good program for it?
It contains data for statistical analysis, but I prefer having a .txt file.
I also have a .spatialite file. Can you help me?
If you just want to see what's in the database without installing anything extra, you might already have SQLite CLI on your system. To check, open a command prompt and try:
sqlite3 database.sqlite
Replace database.sqlite with your database file. Then, if the database is small enough, you can view the entire contents with:
sqlite> .dump
Or you can list the tables:
sqlite> .tables
Regular SQL works here as well:
sqlite> select * from some_table;
Replace some_table as appropriate.
SQLite is database engine, .sqlite or .db should be a database. If you don't need to program anything, you can use a GUI like sqlitebrowser or anything like that to view the database contents.
Website: http://sqlitebrowser.org/
Project: https://github.com/sqlitebrowser/sqlitebrowser
There is also spatialite, https://www.gaia-gis.it/fossil/spatialite_gui/index
My favorite:
https://inloop.github.io/sqlite-viewer/
No installation needed. Just drop the file.
I would suggest using R and the package RSQLite
#install.packages("RSQLite") #perhaps needed
library("RSQLite")
# connect to the sqlite file
sqlite <- dbDriver("SQLite")
exampledb <- dbConnect(sqlite,"database.sqlite")
dbListTables(exampledb)
Very basic question, having a hard time finding an explanation online.
I have a file code.sql that can be run on two different databases, a.db3 and b.db3. I used sqlite a.db3 to open the database in sqlite3. How do I run code.sql on it?
Use the .read code.sql command, or call sqlite3 with the file as input: sqlite3 a.db3 < code.sql.
I am guessing that you are trying to use the sqlite3 command line tool that you can dowload from the sqlite.org website.
I recomend that you use, instead, sqlitestudio http://sqlitestudio.one.pl
This has a feature to execute SQL from a file on a database:
Use DB Browser for SQLite is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite.
You can download the DB Browser at SQLite https://sqlitebrowser.org/
Is there any way to get a SQLite view on a JSON file?
Thanks
On recent versions of SQLite, this is built in. The following:
sqlite3> .mode json
sqlite3> .once out.json
sqlite3> SELECT * from foo;
writes the table foo to out.json.
Or, directly from the command line:
sqlite3 db.sqlite3 '.mode json' '.once out.json' 'select * from foo'
.once, which writes the output of the next SQL command to the indicated file, has been in SQLite since 3.8.5 in 2014.
The .mode json is newer though, added in 3.33.0 in 2020-08. It comes with ubuntu 20.10 but older operating systems are unlikely to have that feature in their built-in SQLite version.
SQLiteStudio (sqlitestudio.pl) can export from sqlite3 database to JSON. SQLiteStudio is C++ Qt-based, open source GPLv3 licensed, Linux/macOS/Windows application with a git repository here: 'pawelsalawa/sqlitestudio'.
There are certainly ways to do this. For example, you could write a custom program that parses the JSON input via your favorite JSON processor and then generate the equivalent SQL statements to create tables, insert the rows, etc. and then import that into a SQLite capable tool (DB Browser for SQLite) to generate the actual SQLite db file.
I suspect you will be hard pressed to find a general purpose tool to accomplish this, as the content of the JSON input could vary widely, and in fact may not map well into a relational database at all.
I'm trying to view my firefox cookies db (cookies.sqlite). Since I've never accessed dbs with anything other than phpmyadmin, I'm at a loss as to how to view the content of this sqlite file. There's localhost/sqlitemanager, but I'd rather stick to the phpmyadmin interface that I'm used to.
Any ideas how I can open/view this sqlite db the normal way in phpmyadmin? Is it possible?
Thanks in advance
P.S. I know that browser cookies are very commonly accessed/played with. If you know another tool that's more specific for this goal, please drop me an answer or suggest in the comments.
There are also several web interfaces for sqlite.
phpSQLiteAdmin
SQLiteManager
Simple SQLite Manager
SQLite Admin
WizSQLiteAdmin
ezSqliteAdmin
SQLiteWebAdmin
knoda
I have not yet tried any of them - in fact, I found this SO question while researching sqlite web front-ends for my own use. But I, too, come from a phpMyAdmin background, so the first one I plan to try is phpSQLiteAdmin.
I imagine there are various GUI programs that will hold your hand. However, I'm going to show you what I would do if I was interested in table moz_cookies in db cookies.sqlite.
$
$ sqlite3 cookies.sqlite
SQLite version 3.5.9
Enter ".help" for instructions
sqlite> .schema
CREATE TABLE moz_cookies (id INTEGER PRIMARY KEY, name TEXT, value TEXT, host TEXT, path TEXT,expiry INTEGER, lastAccessed INTEGER, isSecure INTEGER, isHttpOnly INTEGER);
sqlite> select * from moz_cookies limit 1;
1248713741170186|PREF|ID=12d44375be9e7c86:U=d07dae1b87f4537c:LD=en:NR=100:TM=1248713740:LM=1254091506:FV=2:IG=3:S=Jdo_PXt92J5ojL6E|.google.com|/|1317163505|1255144201180851|0|0
sqlite>
You may want the sqlite3 CLI program. It is available on Unix and Windows.
SQLITE3(1) SQLITE3(1)
NAME
sqlite3 - A command line interface for SQLite version 3
SYNOPSIS
sqlite3 [options] [databasefile] [SQL]
SUMMARY
sqlite3 is a terminal-based front-end to the SQLite library that can
evaluate queries interactively and display the results in multiple for‐
mats. sqlite3 can also be used within shell scripts and other applica‐
tions to provide batch processing features.
DESCRIPTION
To start a sqlite3 interactive session, invoke the sqlite3 command and
optionally provide the name of a database file. If the database file
does not exist, it will be created. If the database file does exist,
it will be opened.
It has two categories of operations.
Commands intended directly for the interactive shell begin with .. Anything is an SQL query terminated as usual with ;.
Adminer is a PHPMyAdmin-like system that has support for MySQL, PostgreSQL, SQLite, MS SQL, Oracle, SimpleDB, Elasticsearch, MongoDB, etc.