MariaDB Connector/J is a Type 4 JDBC driver. It was developed specifically asa lightweight JDBC connector for use with MariaDB and MySQL database servers.It was originally based on the Drizzle JDBC code with numerous additions andbug fixes.
The following subsections show the formatting of JDBC connection strings forMariaDB and MySQL database servers. Additionally, sample code is provided thatdemonstrates how to connect to one of these servers and create a table.
The preferred way to get a connection with MariaDB Connector/J is to use the DriverManager class.When the DriverManager class is used to locate and load MariaDB Connector/J, the application needs no further configuration. The DriverManager class will automatically load MariaDB Connector/J and allow it to be used in the same way as any other JDBC driver.
MariaDB Connector/J 3.0 only accepts jdbc:mariadb: as the protocol in connection strings by default. When both MariaDB Connector/J and the MySQL drivers are found in the class-path, using jdbc:mariadb: as the protocol helps to ensure that Java chooses MariaDB Connector/J.
driver 3.0 is a complete rewrite of the connector. Specific support for aurora has not been implemented in 3.0, since it relies on pipelining. Aurora is not compatible with pipelining.Issues for Aurora were piling up without the community proposing any PR for them and without access for us to test those modifications. (2.x version has a 5 years support).
GSSAPI in windows isn't well supported in java, causing recurrent issues. Since 3.1, waffle-jna is marked as a dependency to provide good GSSAPI support without problems. This has the drawback to make connector and dependencies to a size of around 4Mb.
By default, the connector adopts the JVM's default time zone. If the client and server reside in different time zones, it's recommended to configure the connection time zone to match the JVM's default by setting forceConnectionTimeZoneToSession to true.This ensures proper operation of time functions.
Due to its wider range, DATETIME is sometimes mistakenly used to store a specific point in time. While this might work if the client and server share the same time zone, it creates problems when they differ.
While using DATETIME instead of TIMESTAMP is generally discouraged, a specific combination of settings ("preserveInstants=true&connectionTimeZone=SERVER") can force all Java Timestamp exchanges to be converted to the connection's time zone during storage and retrieval. However, this approach is not recommended for long-term solutions.
The MariaDB Connector/J versions before 3.4 offered a single "timezone" option. While this functionality remains compatible, it's now separated into two distinct settings: connectionTimeZone and forceConnectionTimeZoneToSession. Here's a breakdown of how the old option translates to the new ones:"timezone=America/Los_Angeles" is equivalent to "connectionTimeZone=America/Los_Angeles&forceConnectionTimeZone=true
The fastest way to load lots of data is using LOAD DATA INFILE.
However, using "LOAD DATA LOCAL INFILE" (ie: loading a file from the client) may be a security problem if someone can execute a query from the client, he can have access to any file on the client (according to the rights of the user running the client process).
To avoid using too much memory, rather use Statement.setFetchSize(int numberOfRowInMemory) to indicate the number of rows that will be stored in memory
Example :
using Statement.setFetchSize(1000) indicates that 1000 rows will be stored in memory.
So, when the query has executed, 1000 rows will be in memory. After 1000 ResultSet.next(), the next 1000 rows will be stored in memory, and so on.
If another query is run on same connection while the resultset has not been completly read, the connector will fetch all remaining rows before executing the query. This can lead to still needing lots of memory. Recommendation is then to use another connection for simultaneous operations.
Note that the server usually expects clients to read off the result set relatively quickly. The net_write_timeout server variable controls this behavior (defaults to 60s).If you don't expect results to be handled in this amount of time there is a different possibility:
If another query is executed on the same connection when a streaming resultset has not been fully read, the connector will put the whole remaining streaming resultset in memory in order to execute the next query. This can lead to OutOfMemoryError if not handled.
Before version 1.4.0, the only accepted value for fetch size was Statement.setFetchSize(Integer.MIN_VALUE) (equivalent to Statement.setFetchSize(1)). This value is still accepted for compatilibity reasons but rather use Statement.setFetchSize(1), since according to JDBC the value must be >= 0.
The driver uses server prepared statements as a standard to communicate with the database (since 1.3.0). If the "allowMultiQueries" options are set to true, the driver will only use text protocol. Prepared statements (parameter substitution) is handled by the driver, on the client side.
To use this credential authentication, com.amazonaws:aws-java-sdk-rds dependency must be registred in classpath.Implementation use SDK DefaultAWSCredentialsProviderChain and DefaultAwsRegionProviderChain to get IAM credential and region.see DefaultAWSCredentialsProviderChain and DefaultAwsRegionProviderChain to check how those information can be retrieved (environment variable / system properties, files, ...)
New authentication plugins can be created implementing interface org.mariadb.jdbc.authentication.AuthenticationPlugin, and listing new plugin in a META-INF/services/org.mariadb.jdbc.authentication.AuthenticationPlugin file.
Custom SSL implementation can be used implementing A connection to a server initially creates a socket. When set, SSL socket is layered over this existing socket. Implementing org.mariadb.jdbc.tls.TlsSocketPlugin permit to provide custom SSL implementation for example create a new HostnameVerifier implementation.
Most of the time this will be caused by reading a query that has a large resultset; the server usually expects clients to read off the result set relatively quickly. The net_write_timeout server variable controls this behavior (defaults to 60s). If the client doesn't read the whole resultset in that amount of time, the server will discard the connection.If you don't expect results to be handled in this amount of time there is another possibility:
Connection.isValid() is a good approach. Connection.isValid() is doing a ping (ping in mysql protocol, not network ping). Connection pool using JDBC4 Validation are using automatically this Connection.isValid()
This page provides basic JOSM installation steps and troubleshooting information.To start working with JOSM please see the Introduction and the Help pages. And for very complex issues see Installation Notes.
Every month the team of JOSM releases a tested version for download. The MS Windows and Apple macOS variants are built on this tested version.When you click on josm.jnlp to launch JOSM you will always get the newest tested version. Java's Web Start is the mechanism behind this.
Every night the build systems generate a latest version.These versions might have severe errors. But mostly they work well, too.For the latest version is also a Web Start variant available.
Strip translations
If download size is an issue, smaller files of the tested version are available. For downloads containing only English append ?lang=en to the URL. To include one translation replace en with the language code you want (lowercase first character, supported languages only). You can further reduce the file size by stripping the signing information off with appending ?unsigned=1.
This is our own package repository primarily for Ubuntu. It should also work with other Debian based (especially Ubuntu based) distributions, but we do not actively test and maintain any distributions other than Ubuntu.
On current versions of MS Windows by default Java is installed mainly in the C:\Program Files\Java\ directory. Additional parts are placed in C:\Program Files\Oracle\Java\. There is a .\javapath\ directory as target for the PATH environment variable. It is the home for the three virtual files java.exe, javaw.exe and javaws.exe. This files are symbolic links form the current Java installations.
On older versions of 64 bit Windows sometimes the 32 bit mode JRE was additionally installed. Also some browsers brought their own JVM with limited capabilities. In those cases a Web Start from the browser would not use your Java installation but that from the browser.
Check that there's no other javawebstart in \Windows\SysWow64. The Java control panel will not detect it and you can safely delete it. Perform cleanup and only keep the latest versions of each JRE (One or the 32-bit mode, another one for the 64-bit mode).
For shortcuts created on the desktop for JNLP and running the Javawebstart launcher , make sure to pass VM parameters prefixed with -J and no intermediate space before the VM option. If you have installed both the 32-bit and 64-bit version, you should pass the option "-d64" if you want to select the preferred 64-bit VM. Note that some Oracle documentation pages indicate the option "-D64" with the incorrect capitalization!)
TOPCAT is an interactive graphical viewer and editor for tabular data.Its aim is to provide most of the facilities that astronomers needfor analysis and manipulation of source catalogues and other tables,though it can be used for non-astronomical data as well.It understands a number of different astronomically important formats(including FITS, VOTable and CDF) and more formats can be added.It is especially good at interactive exploration of large(multi-million row, lots of columns) tables.
It offers a variety of ways to view and analyse tables,including a browser for the cell data themselves,viewers for information about table and column metadata,and facilities for sophisticated interactive1-, 2-, 3- and higher-dimensional visualisation, calculating statistics and joining tablesusing flexible matching algorithms.Using a powerful and extensible Java-based expression languagenew columns can be defined and row subsets selected for separate analysis.Table data and metadata can be edited and the resulting modified tablecan be written out in a wide range of output formats.
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