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- Download And Install Hsqldb On Mac Windows 10
- Download And Install Hsqldb On Mac Os
- Download And Install Hsqldb On Mac Version
- Download And Install Hsqldb On Mac Download
Version 2.5.1
Visit these links to examine major changes in all DbVisualizer versions ever released, specific details for each version, and information how to evaluate the DbVisualizer Pro edition. HiDPi images on Mac Retina displays GUI and Archive installers with option to install Java The DbVisualizer UI. DbVisualizer Pro. Since HSQLDB is a relational database management system implemented in pure Java, you must install JDK (Java Development Kit) software before installing HSQLDB. If you already have JDK installation in your system, then try the following command to verify the Java version. If this is a Linux (Ubuntu-based) system, don't forget to install the required JDBC driver package as well. Alex Thurgood ( 2019-11-27 11:38:54 +0200 ) edit My system is Mac OS 10.15.4. Looks like your computer is running a operating system we no longer support, but you can still download and play your games using an older version of Origin. For Windows XP or Vista, click here to download. For Mac OSX 10.7 or 10.8, click here to download.
HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2011. A small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multi-version concurrency, and ACID. Get more done with the new Google Chrome. A more simple, secure, and faster web browser than ever, with Google’s smarts built-in.
Data cube support is the latest major feature in the new version, which follows other important features developed in recent years.Download And Install Hsqldb On Mac Windows 10
Temporal system-versioned tables keep all the data changes over time, allowing queries to view historic snapshots and, with PERIOD predicates, data changes over any period of time. Fine-grained row-level access control governs visibility and permissions on rows of data. Log-based synchronization keeps replicas in sync.
Support for Java 8 java.time classes in JDBC, table spaces for disk-based tables, UUID type for columns, SYNONYM for tables and functions, and auto-updated TIMESTAMP columns on row updates, are some of the recent features. Other features included: The ability to cancel long-running statements from JDBC as well as from admin sessions. UTF-16 file support for text table sources. MySQL compatibility for REPLACE, INSERT IGNORE and ON DUPLICATE KEY UPDATE statements.Download And Install Hsqldb On Mac Os
Each release incorporates extensive code reviews, enhancements and bug fixes.
HSQLDB (HyperSQL DataBase) is the leading SQL relational database system written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools.
HSQLDB supports the widest range of SQL Standard features seen in any open source database engine: SQL:2016 core language features and an extensive list of SQL:2016 optional features. It supports full Advanced ANSI-92 SQL with only two exceptions. Many extensions to the Standard, including syntax compatibility modes and features of other popular database engines, are also supported.
Version 2.5.1 is fully multithreaded and supports high performance 2PL and MVCC (multiversion concurrency control) transaction control models. See the list of features in version 2.5.0.
HSQLDB has been constantly developed over 20 years and is used as a database and persistence engine in over 1700 Open Source Software projects and many commercial products. The latest versions are extremely stable and reliable. It is known for its small size, ability to execute completely or partly in memory, its flexibility and speed.
HSQLDB is completely free to use and distribute under our licenses, based on the standard BSD license and fully compatible with all major open source licenses.
The database performance test package PolePosition compares the performance of relational and object databases for storing objects. We ran the PolePosition 0.4 tests with HSQLDB 2.2.6 embedded and server (both with disk tables with sync-on-commit), Apache Derby embedded and MySQL+InnoDB server. See the results, which show the query processing improvements since HSQLDB 2.0
Background
HyperSQL is developed and published by the The HSQL Development Group. The group was formed in 2001 and has released several major versions of the database over the years. Version 2.0 was released in 2010 with a brand new transactional core engine and JDBC implementation. The engine has been developed much further in version 2.5.1.
Direct downloads from SourceForge exceed 2,000,000 copies, with hundreds of millions of copies distributed as part of other software packages.
HyperSQL was selected as the SourceForge Project of the Month for January 2012. An interview with core developers is published here.
How To / FAQ
How to install and run HSQLDB
How to compile HSQLDB
How to create a new database
How to start programming JDBC / HSQLDB
Where to get more documentation
How to use HSQLDB inside JBuilder
How to upgrade from an old version
Can I use HSQLDB in my program
Reliability, Performance and Deployment
Documentation
How to install and run HSQLDB
- Download the hsqldb.zip file from the download page to your local computer.
- Expand the .zip using any program that can handle zip files. The JDK includes the command line tool jar. Open a command prompt, change to the directory where the file hsqldb.zip is, and type:
jar -xf hsqldb.zip - You need a Java Runtime Environment (JRE) or Java Development Kit (JDK) to run HSQLDB.
- Browse the documentation included in the zip package. Start with 'index.html'.
How to compile HSQLDB
You don't need to. A compiled JAR of HSQLDB is included in the download. This runs under Java 8 and later. If you want to re-compile HSQLDB, you will need a JDK. You can use JDK 6 or 7 to build a jar for these versions of Java. You can also build a Java 9+ module jar with JDK 9 or later. See the Guide and the documentation in the /build directory.
How to create a new database
A new database is created automatically if it does not yet exist. Just connect to the not-yet-existing database using the jdbc:hsqldb:file:«database-path» URL (should replace the last part with the path you want) with the user 'sa' (or any other name) and a password (can be an empty string). You will use this name and password to connect again.
How to start programming JDBC / HSQLDB
HSQLDB comes with PDF and HTML documentation, with example program source code that can help programers who are new to JDBC programming.
Basic sample programs are in the /src/org/hsqldb/sample folder.
Source code of test programs are useful examples of how to use different features of JDBC and SQL. Check the sources in the /src/org/hsqldb/test folder.
SQL test scripts are in the /runtest folder and offer extensive examples of SQL statements.
Where to get more Documentation
HSQLDB has a standard JDBC interface. HSQLDB specific JDBC documentation is included in the /doc/src folder.
There are also many books available on JDBC programming.
HSQLDB is covered in hundreds of books on Java programming. Search Google Books for 'HSQLDB'
How to use HSQLDB inside Eclipse, etc.
To use HSQLDB at design-time in Eclipse, NetBeans or other tools, you usually require the plug-in for databases that comes with the development environment. You usually need to add a reference to the HSQLDB jar to the environment. Also you normally need to register the JDBC driver (which is part of the hsqldb.jar) with the environment. A dedicated plugin is already available for Eclipse.
How to upgrade from an old version to the current version
Download And Install Hsqldb On Mac Version
It is recommended that you close the databases with the SHUTDOWN command before they are opened with version 2.x. If the database is not read-only, it will be upgraded to the latest version. Databases made with versions earlier than 2.0 must be upgraded before opening with version 2.5.1. This is described in the Guide.
If you use CACHED tables, the procedures in the System Management and Deployment Issues section of the Guide should be followed. A SHUTDOWN COMPACT after the upgade is recommended.
Note that an upgrade is a one-way process, so please always keep a backup of the old database.
License
- May I use HSQLDB in a commercial product?
Yes. HSQLDB is Open Source and free to use in any commercial product so long as the terms of the Licenses are met. The Licenses of HSQLDB and Hypersonic SQL (on which a few parts of HSQLDB are based) are both based on the new BSD License.
Reliability, Performance and Deployment
Download And Install Hsqldb On Mac Download
- Does HSQLDB store all data in memory. Doesn't memory run out as a result?
It stores all data in memory only if you want to. By default, CREATE TABLE results in a memory table, as this is the best type for smaller tables. For larger tables, use CREATE CACHED TABLE and adjust the cache size to suite your memory use requirements (as little as 8MB or so). See the System Management and Deployment Issues chapter of the Guide. There is no simple rule and no imposition on the part of HSQLDB as maximum flexibility is allowed using only a couple of settings. A popular use of HSQLDB is for OLAP, ETL, and data mining applications where huge Java memory allocations are used to hold millions of rows of data in memory.
- How does HSQLDB compare to other RDBMS engines in SQL support / JDBC support
HSQLDB has very extensive support for SQL-2016. This support nearly matches the Advanced level of the old SQL-92 Standard and the Core level of the new Standard, plus 150 optional features. SQL support is more extensive than all open-source database products and includes features that are not yet supported in most closed-source, commercial products. JDBC support is comprehensive and extends to all the features that are supported by the core SQL capabilities of the engine.
- How does HSQLDB compare to other RDBMS engines in speed
This is something that you can measure. Overall, with disk tables, HSQLDB is faster, or at least comparable in speed to the fastest non-java or java open-source RDBMS engines. In addition, HSQLDB supports fast, persistent, memory tables in a database which are much faster than traditional disk tables.
You can use the performance tests supplied with HSQLDB. One test, JDBCBench.java is a standard TPC-B implementation that measures speed and reliability of multi-threaded access. HSQLDB is extremely fast in the MVCC mode in this test. Another test, TestCacheSize.java, is a single-threaded test for speed of INSERT, UPDATE, DELETE and SELECT operations with hundreds of thousands of rows. Some comparisons have been posted by users in our mailing lists and on the web.Any specific SELECT query speed issues can normally be resolved with slight modifications to the query or by adding appropriate indexes. See the Guide for details.
- How solid is HSQLDB
HSQLDB 2.x comes after version 2.0 and uses the experience gained from extensive SQL compatibility tests and stress tests by application vendors that use HSQLDB in their products. Persistence in 2.x is an improved and hardened version of the persistence engine of 1.8 which was in use for over 5 years.
- How solid is HSQLDB when a machine crashes
HSQLDB employs a redo log for data recovery. All the changes to the database are reflected in this log. Extensive user tests have demonstrated this mechanism to be effective and fail-safe in most cases. For added security, you can backup the database files while the engine is running using the BACKUP DATABASE command.
By default, a FileDescriptor.sync() call is made every 500 milliseconds on the redo log file. If the machine or the Java process is likely to crash often, you can reduce this down to 20 milliseconds for more frequent sync() calls. You can also specify 0 to force a sync() on each commit. This setting can be changed with 'SET FILES WRITE DELAY MILLIS m' or the equivalent connection property.
With all the rest of the database files, calls to sync() are made at all critical points to ensure the files are consistent both after a shutdown and after a crash. - What about multithreading?
HSQLDB 2.x is fully multithreaded. Both the core engine and the Server. In the MVCC mode, multiple threads can write to the same table while other threads perform SELECT queries.
- What are the limitations of the database (size of columns, number of tables, rows...)?
There is no imposed limitation. Number of columns, tables, indexes, size of columns and so on is limited only by the memory. For example, a user reported using a SELECT statement with 41 LEFT OUTER JOIN clauses on a huge database for a data mining application.
- My database runs out of memory / How much memory does a database need?
If only memory tables (CREATE TABLE or CREATE MEMORY TABLE) are used then the database is limited by the memory. A minimum of about 100 bytes plus the actual data size are required for each row. If you use CREATE CACHED TABLE, then the size of the table is not limited by the memory beyond a certain minimum size. The data and indexes of cached tables are saved to disk. With text tables, indexes are memory resident but the data is cached to disk.
- What is the biggest known HSQLDB database?
The current default size limit of an HSQLDB database is 8TB for all CACHED tables combined (this can be extended to 256TB with a connection property). The size limit for each TEXT table is 256GB. In addition, maximum total lob size is 64TB. If you use large MEMORY tables, memory is only limited by the allocated JVM memory, which can be several GB on modern machines and 64bit operating systems. We have performed extensive tests with the latest versions using the TestCacheSize and other test programs inserting millions of rows and resulting in data files of up to 16 GB and larger LOB sizes. Users have reported the use of databases with up to 900 million rows.
- After the program is finished, there are a lot statements in the *.log file. Why?
The database was not shut down properly. When you restart the database, the *.log file will be processed and an automatic checkpoint will be performed. No data committed before the last sync() (see under machine crash above) will be lost. To avoid this, use the SQL command 'SHUTDOWN' when your application has finished with the database.
The statements that make up the database are saved in the *.script file (mostly CREATE statements and INSERT statements for memory tables). Only the data of cached tables (CREATE CACHED TABLE) is stored in the *.data file. Also all data manipulation operations are stored in the *.log file (mostly DELETE/INSERT) for crash recovery. When the SHUTDOWN or CHECKPOINT command is issued to a database, then the *.script file is re-created and becomes up-to-date. The .log file is deleted. When the database is restarted, all statements of the *.script file are executed first and new statements are appended to the .log file as the database is used. In addition, there are *.bakup and *.lobs files.
- The size of the .data file grows in operation although the total row count for CACHED tables has not gone up. Why?
HSQLDB tracks and reuses only up to a fixed number of the empty spaces left after DELETE or during UPDATE operations. If the delete rate is higher than insert rate, or a large number of rows are updated in a single query, then some spaces are left empty. Both CHECKPOINT DEFRAG and SHUTDOWN COMPACT commands will remove the empty spaces. In version 2.5.1 you can enable SET FILES SPACE TRUE and empty spaces are tracked better.
- I need transaction isolation levels beyond read-committed
HSQLDB 2.x supports READ COMMITTED and SERIALIZABLE isolation levels. It supports both lock-based and multiversion (MVCC) transaction models, and is fully multithreaded in all modes.
See the Guide for a fuller discussion of all the issues.
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