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Co-authored-by: Roman Parshikov <>

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SQLite JDBC Driver GitHub Workflow Status (branch) Join the chat at

SQLite JDBC is a library for accessing and creating SQLite database files in Java.

Our SQLiteJDBC library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your class path.

See the sample code.

Maven Central javadoc

Post bug reports or feature requests to Issue Tracker


SQLite JDBC is a library for accessing SQLite databases through the JDBC API. For the general usage of JDBC, see JDBC Tutorial or Oracle JDBC Documentation.

  1. Download sqlite-jdbc-(VERSION).jar from the download page (or by using Maven) then append this jar file into your classpath.
  2. Open a SQLite database connection from your code. (see the example below)
  • More usage examples are available at Usage
  • Usage Example (Assuming sqlite-jdbc-(VERSION).jar is placed in the current directory)
> javac
> java -classpath ".;sqlite-jdbc-(VERSION).jar" Sample   # in Windows
> java -classpath ".:sqlite-jdbc-(VERSION).jar" Sample   # in Mac or Linux
name = leo
id = 1
name = yui
id = 2

    import java.sql.Connection;
    import java.sql.DriverManager;
    import java.sql.ResultSet;
    import java.sql.SQLException;
    import java.sql.Statement;

    public class Sample
      public static void main(String[] args)
        Connection connection = null;
          // create a database connection
          connection = DriverManager.getConnection("jdbc:sqlite:sample.db");
          Statement statement = connection.createStatement();
          statement.setQueryTimeout(30);  // set timeout to 30 sec.

          statement.executeUpdate("drop table if exists person");
          statement.executeUpdate("create table person (id integer, name string)");
          statement.executeUpdate("insert into person values(1, 'leo')");
          statement.executeUpdate("insert into person values(2, 'yui')");
          ResultSet rs = statement.executeQuery("select * from person");
            // read the result set
            System.out.println("name = " + rs.getString("name"));
            System.out.println("id = " + rs.getInt("id"));
        catch(SQLException e)
          // if the error message is "out of memory",
          // it probably means no database file is found
            if(connection != null)
          catch(SQLException e)
            // connection close failed.

How to Specify Database Files

Here is an example to select a file C:\work\mydatabase.db (in Windows)

Connection connection = DriverManager.getConnection("jdbc:sqlite:C:/work/mydatabase.db");

A UNIX (Linux, Mac OS X, etc) file /home/leo/work/mydatabase.db

Connection connection = DriverManager.getConnection("jdbc:sqlite:/home/leo/work/mydatabase.db");

How to Use Memory Databases

SQLite supports on-memory database management, which does not create any database files. To use a memory database in your Java code, get the database connection as follows:

Connection connection = DriverManager.getConnection("jdbc:sqlite::memory:");


sqlite-jdbc extracts a native library for your OS to the directory specified by JVM property. To use another directory, set org.sqlite.tmpdir JVM property to your favorite path.


  • 2020-12-10: sqlite-jdbc-3.34.0

    • Improved the performance of reading String columns
    • Support URI file names (file://...) in backup/restore commands
    • Show SQL strings in PreparedStatements.toString()
  • 2020-12-08: sqlite-jdbc-

    • Apple Silicon (M1) support
  • 2020-07-28: sqlite-jdbc-

    • Enable SQLITE_MAX_MMAP_SIZE compile option again.
    • Fixes issues when using Arm Cortex A8, A9 (32-bit architecture)
  • 2020-07-15: sqlite-jdbc-

    • Remove SQLITE_MAX_MMAP_SIZE compile option, which might be causing performance issuess.
  • 2020-06-18: sqlite-jdbc-3.32.3

    • Fix multiple CVE reported issues #501
  • 2020-05-04: sqlite-jdbc-3.31.1

    • Upgrade to sqlite 3.31.1
    • Support update/commit/rollback event notifications #350
    • Remove sparse index checks #476
    • Support alpine linux (Linux-alpine)
    • Enabled SQLITE_ENABLE_STAT4 flag
  • 2019-12-23: sqlite-jdbc-3.30.1

    • Upgrade to sqlite 3.30.1
    • Various fixes
  • 2019-06-24: sqlite-jdbc-3.28.0

    • Upgrade to sqlite 3.28.0
  • 2019-03-20: sqlite-jdbc-

    • Make smaller the jar size by using -Os compiler option
    • Performance improvement for concurrent access.
  • 2019-03-18: sqlite-jdbc-3.27.2

  • 2018-10-01: sqlite-jdbc-3.25.2

    • Upgrade to SQLite 3.25.2
    • Fixes #74, #318, #349, #363, #365
    • Upsert is supported since this version.
  • 2018-05-25: sqlite-jdbc-3.23.1

    • Upgrade to SQLite 3.23.1
    • Fixes #312, #321, #323, #328
    • Dropped linux armv6 support temporarily
  • 2017-12-07: sqlite-jdbc-

    • Metadata query fixes
    • Fix for Android
  • 2017-11-14: sqlite-jdbc-3.21.0

    • Upgrade to SQLite 3.21.0
    • Various fixes for metadata queries
  • 2017-10-08: sqlite-jdbc-3.20.1

    • Upgrade to SQLite 3.20.1
    • Various bug fixes
  • 2017-08-04: sqlite-jdbc-3.20.0

    • Upgrade to SQLite 3.20.0
    • Support Linux aarch64
    • Fix #239
  • 2017-06-22: sqlite-jdbc-3.19.3

  • 2017-05-18: sqlite-jdbc-3.18.0

  • 2017-01-10: sqlite-jdbc-3.16.1

    • Upgrade to SQLite 3.16.1
    • Add experimental support for ppc64, armv5, v6 (Raspberry PI), v7 and android-arm.
    • Fix a bug in prepared statements #74
    • Building all native libraries using cross compilers in docker images
  • 2016-11-04: sqlite-jdbc-3.15.1

  • 2016-11-04: sqlite-jdbc-3.15.0

    • Upgrade to SQLite 3.15.0
    • Cleanup extracted temp library files upon start
    • Fix various metadata problems
  • 2016-09-30: sqlite-jdbc-

    • Improved the performance for single-threaded applications (#162)
  • 2016 09-26: sqlite-jdbc-3.14.2

    • Updated binaries (Using docker for the ease of cross compiling)
    • Fixes native libraries for Raspberry-Pi
    • Dropped support for Mac x86 (The last Mac OS X supporting this architecture was Snow Leopard, 7-year ago!)
    • Default support of JSON1 extension (#76, #127)
    • Implement query progress callback (#137)
    • Use extended error codes (#119)
  • 2015 Oct 3rd: sqlite-jdbc-

    • Fix for Raspberry-Pi 2
    • Add multiple table support for DatabaseMetaData.getColumns
  • 2015 August 3rd: sqlite-jdbc-

    • Fix for Linux ARM native library
  • 2015 July 29th: sqlite-jdbc-3.8.11 release.

    • General performance improvement
    • warning: No update for FreeBSD binary (need a contribution of native library!)
  • 2015 July 27th: sqlite-jdbc- release (Thread-safe date time)

  • 2015 May 11th: sqlite-jdbc- release

  • 2015 May 7th: sqlite-jdbc- release

  • 2014 October 20th: sqlite-jdbc-3.8.7 released.

    • Fixed the native code loading mechanism to allow loading sqlite-jdbc from multiple class loaders.
  • 2014 October 8th: sqlite-jdbc-3.8.6 released.

  • 2014 August 7th: sqlite-jdbc-3.8.5-pre1 released.

  • 2014 January 5th: sqlite-jdbc4-3.8.2-SNAPSHOT Introduced JDBC4 version of driver. (Requires at least Java 6).

  • 2013 August 27th: sqlite-jdbc-3.8.0 snapshot version is available

  • 2013 August 19th: sqlite-jdbc-3.7.15-M1

  • 2013 March 24th : sqlite-jdbc-3.7.15-SNAPSHOT-2

  • 2013 January 22nd: The repositories and documentations were moved to the bitbucket.

  • 2012 December 15th: sqlite-jdbc-3.7.15-SNAPSHOT

    • Removed pure-java.
  • 2010 August 27th: sqlite-jdbc-3.7.2 released

  • 2010 April 3rd: beta release of sqlite-jdbc-

    • Added online backup/restore functions. Syntax: backup to (file name), restore from (file name).
  • 2009 December 10th: sqlite-jdbc- release.

    • Read-only connection, recursive trigger, foreign key validation support etc. using SQLiteConfig class.

      SQLiteConfig config = new SQLiteConfig();
      // config.setReadOnly(true);
      // ... other configuration can be set via SQLiteConfig object
      Connection conn = DriverManager.getConnection("jdbc:sqlite:sample.db", config.toProperties());
  • 2009 November 12th: sqlite-jdbc-3.6.19 released.

    • added 64-bit OS support: 64-bit native SQLite binaries for Windows (x86_64), Mac (x86_64) and Linux (adm64) are available.
  • 2009 August 19th: sqlite-jdbc- released.

  • 2009 July 2nd: sqlite-jdbc-3.6.16 release.

  • 2009 June 4th: sqlite-jdbc- released.

  • 2009 May 19th: sqlite-jdbc- released.

    • This version supports "jdbc:sqlite::resource:" syntax to access read-only DB files contained in JAR archives, or external resources specified via URL, local files address etc. (see also the details)
  • 2009 February 18th: sqlite-jdbc-3.6.11 released.

    • Fixed a bug in PrepStmt, which does not clear the batch contents after executeBatch(). Discussion.
  • 2009 January 19th: sqlite-jdbc-3.6.10 released. This version is compatible with sqlite version 3.6.10.

    • Added READ_UNCOMMITTED mode support for better query performance: (see also )

      // READ_UNCOMMITTED mode works only in shared_cache mode.
       Properties prop = new Properties();
       prop.setProperty("shared_cache", "true");
       Connection conn = DriverManager.getConnection("jdbc:sqlite:", prop);
  • 2008 December 17th: sqlite-jdbc-3.6.7 released.

  • 2008 December 1st: sqlite-jdbc- released,

  • 2008 November 20th: sqlite-jdbc-3.6.6 release.

  • 2008 November 11th: sqlite-jdbc- A bug fix release

    • Pure-java version didn't work correctly. Fixed in both and 3.6.4. If you have already downloaded 3.6.4, please obtain the latest one on the download page.
  • 2008 October 16th: sqlite-jdbc-3.6.4 released.

  • 2008 October 14th: sqlite-jdbc-3.6.3 released. Compatible with SQLite 3.6.3.

  • 2008 September 18th: sqlite-jdbc-3.6.2 released. Compatible with SQLite 3.6.2 and contains pure-java and native versions.

  • 2008 July 17th: sqlite-jdbc-3.6.0 released. Compatible with SQLite 3.6.0, and includes both pure-java and native versions.

  • 2008 July 3rd: sqlite-jdbc-3.5.9-universal released. This version contains both native and pure-java SQLite libraries, so it probably works in any OS environment.

  • 2008 May 29th: Current development revision (sqlite-jdbc-3.5.9-1) can be compiled with JDK 6. No need to use JDK 1.5 for compiling SQLiteJDBC.

  • 2008 May 20th: sqlite-jdbc-3.5.9 released.

  • 2008 May 20th: sqlite-jdbc-3.5.8 released (corresponding to SQLite 3.5.8 and sqlite-jdbc-v047). From this release, Windows, Mac OS X, Linux (i386, amd64) and Solaris (SunOS, sparcv9) libraries are bundled into one jar file.

  • 2008 May 1st: sqlite-jdbc is now in the maven central repository! How to use SQLiteJDBC with Maven2

  • 2008 Mar. 18th: sqlite-jdbc-3.5.7 released.

  • 2008 Mar. 10th: sqlite-jdbc-v042 released.

    • Corresponding to SQLite 3.5.6, which integrates FTS3 (full text search).
  • 2008 Jan. 31st: sqlite-jdbc-v038.4 released.

    • SQLiteJDBCLoader.initialize() is no longer required.
  • 2008 Jan. 11th: The Jar files for Windows, Mac OS X and Linux are packed into a single Jar file! So, no longer need to use an OS-specific jar file.

  • 2007 Dec. 31th: Upgraded to sqlitejdbc-v038


Download the latest version of SQLiteJDBC from the downloads page.

Beta Release

The early releases (beta) of sqlite-jdbc with some advanced features are available from here

  • The old releases are still available from here, but the site might be closed in future.

Supported Operating Systems

Since sqlite-jdbc-3.6.19, the natively compiled SQLite engines will be used for the following operating systems:

  • Windows (Windows, x86 architecture, x86_64)
  • Mac OS X x86_64 (Support for SnowLeopard (i386) has been deprecated)
  • Linux x86, x86_64, arm (v5, v6, v7 and for android), ppc64

In the other OSs not listed above, the pure-java SQLite is used. (Applies to versions before 3.7.15)

If you want to use the native library for your OS, [build the source from scratch.

How does SQLiteJDBC work?

Our SQLite JDBC driver package (i.e., sqlite-jdbc-(VERSION).jar) contains three types of native SQLite libraries (sqlite-jdbc.dll, sqlite-jdbc.jnilib,, each of them is compiled for Windows, Mac OS and Linux. An appropriate native library file is automatically extracted into your OS's temporary folder, when your program loads org.sqlite.JDBC driver.


This program follows the Apache License version 2.0 ( ) That means:

It allows you to:

  • freely download and use this software, in whole or in part, for personal, company internal, or commercial purposes;
  • use this software in packages or distributions that you create.

It forbids you to:

  • redistribute any piece of our originated software without proper attribution;
  • use any marks owned by us in any way that might state or imply that we endorse your distribution;
  • use any marks owned by us in any way that might state or imply that you created this software in question.

It requires you to:

  • include a copy of the license in any redistribution you may make that includes this software;
  • provide clear attribution to us, for any distributions that include this software

It does not require you to:

  • include the source of this software itself, or of any modifications you may have made to it, in any redistribution you may assemble that includes it;
  • submit changes that you make to the software back to this software (though such feedback is encouraged).

See License FAQ for more details.

Using SQLiteJDBC with Maven2

If you are familiar with Maven2, add the following XML fragments into your pom.xml file. With those settings, your Maven will automatically download our SQLiteJDBC library into your local Maven repository, since our sqlite-jdbc libraries are synchronized with the Maven's central repository.


To use snapshot/pre-release versions, add the following repository to your Maven settings:

Hint for maven-shade-plugin

You may need to add shade plugin transformer to solve No suitable driver found for jdbc:sqlite: issue.


Using SQLiteJDBC with Tomcat6 Web Server

(The following note is no longer necessary since sqlite-jdbc-3.8.7)

Do not include sqlite-jdbc-(version).jar in WEB-INF/lib folder of your web application package, since multiple web applications hosted by the same Tomcat server cannot load the sqlite-jdbc native library more than once. That is the specification of JNI (Java Native Interface). You will observe UnsatisfiedLinkError exception with the message "no SQLite library found".

Work-around of this problem is to put sqlite-jdbc-(version).jar file into (TOMCAT_HOME)/lib directory, in which multiple web applications can share the same native library file (.dll, .jnilib, .so) extracted from this sqlite-jdbc jar file.

If you are using Maven for your web application, set the dependency scope as 'provided', and manually put the SQLite JDBC jar file into (TOMCAT_HOME)/lib folder.


What is different from Zentus' SQLite JDBC?

The current sqlite-jdbc implementation is forked from Zentus' SQLite JDBC driver. We have improved it in two ways:

  • Support major operating systems by embedding native libraries of SQLite, compiled for each of them.
  • Remove manual configurations

In the original version, in order to use the native version of sqlite-jdbc, users had to set a path to the native codes (dll, jnilib, so files, etc.) through the command-line arguments, e.g., -Djava.library.path=(path to the dll, jnilib, etc.), or -Dorg.sqlite.lib.path, etc. This process was error-prone and bothersome to tell every user to set these variables. Our SQLiteJDBC library completely does away these inconveniences.

Another difference is that we are keeping this SQLiteJDBC library up-to-date to the newest version of SQLite engine, because we are one of the hottest users of this library. For example, SQLite JDBC is a core component of UTGB (University of Tokyo Genome Browser) Toolkit, which is our utility to create personalized genome browsers.

Buliding sqlite-jdbc

Building native libraries:

# For the current platform
$ make native

# For all platforms (Requires docker for launching cross-compilers)
$ make native-all

# For Apple Silicon (M1). Need to install a jdk compiled for M1
$ JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk-16+10/Contents/Home make native