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310-811 Sun Certified MySQL 5.0 Database(R) Administrator allotment II

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310-811 exam Dumps Source : Sun Certified MySQL 5.0 Database(R) Administrator allotment II

Test Code : 310-811
Test appellation : Sun Certified MySQL 5.0 Database(R) Administrator allotment II
Vendor appellation : SUN
: 138 existent Questions

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SUN Sun Certified MySQL 5.0

Now an Oracle product, what occurs to MySQL? | existent Questions and Pass4sure dumps

Attendees on the open source database's annual developers' conference in Santa Clara this morning are waking up to the awesome information that their personal product, whose charge to sun Microsystems was to were lauded by way of zilch apart from solar co-founder Andreas von Bechtolsheim in a keynote tackle scheduled for Thursday, is now owned through Oracle techniques.

The initial value of MySQL to Oracle -- up except this morning, its greatest competitor -- was evident by means of its absence from this morning's joint press conference featuring solar and Oracle executives. solar CEO Jonathan Schwartz mentioned MySQL together with OpenOffice as a allotment of what he now calls the realm's biggest corporation for open source application. unless Oracle's SEC filings are made public, they may not know even if MySQL even factored into its valuation of sun. editor Jeremy had, smartly, Linux questions this morning after the information became announced: "With lots of sun's profits coming from hardware, will [Oracle] spin that division off or employ it to seat of attention more on a complete Oracle stack, that contains every Little thing from hardware to database?" Jeremy wrote. "moving to the individual materials of that stack, will Oracle proceed with the SPARC CPU line or live drawn to the extra commodity x86 lines? at the OS level, will Oracle continue to seat of attention on Linux and their Unbreakable implementation or will they attempt to hold Solaris alive? Oracle has been contributing to Linux in a gigantic way lately, and it could live an distinguished loss for that to head away."

independent analyst and Betanews contributor Carmi Levy believes the deal could allow some intriguing opportunities for Oracle, which in past times has had greater issue breaking into the lower finish of the database market. There, MySQL rules amongst open source users, and Microsoft SQL Server has had a stronghold among the many commercial set.

"This thinking extends into the lower finish of the market as neatly, given how the sun acquisition offers Oracle entry to MySQL," Levy advised Betanews. "whereas no person may ever rightfully declare that MySQL threatens Oracle's greater-conclusion database choices, its addition to the portfolio gives Oracle extra leverage in a market with gigantic enlarge competencies. The MySQL reserve in foundation of about 11 million offers Oracle earnings groups fruitful possibility to occupy conversations they occupy not previously had."

but MySQL's encourage foundation is comprised in massive allotment via unbiased builders, and that is the judgement with the aid of design. Already, these impartial developers are waking as much as a brand original world, including utility engineer Ryan Thiessen. An eleven-yr MySQL veteran, Thiessen is scheduled to communicate at the MySQL convention this week; and in a blog post this morning entitled comfortably, "shocked," he exhibits his bewilderment:

"remaining time this yr i was cautiously optimistic about sun's buy of MySQL. however now not this year -- or not it's worry and disappointment over what this capability for MySQL," Thiessen wrote. "when I examine this as a rumor just a few weeks ago i believed it turned into a comic myth of an idea. Why would a towering margin utility trade want to purchase a declining hardware company, although that hardware is top notch? As for his or her software, I can not imagine that Oracle is drawn to Java, MySQL, and so on as earnings producing products, it would simply live a tiny blip for them."fairly, Java and Solaris had been mentioned by means of Oracle CEO Larry Ellison because the key motivating components, no longer the SPARC company -- definitely, it was SPARC that didn't generate a blip. MySQL obtained as a minimum that an abominable lot -- this for a trade that became charge at least a billion to solar just 15 months in the past.

MySQL's founders occupy remained on the list as fiercely against the employ of software patents, as uncertain to the spirit and ethics of open source. Oracle isn't diametrically opposed to that line of thinking, having made statements in principle every unique the way through this decade opposing the advent of patent portfolios for predatory purposes.

Oracle's 2000 commentary on the problem, which is basically unchanged, reads, "Patent legislation offers to inventors an exclusive remedy to original technology in return for booklet of the know-how. here's not applicable for industries reminiscent of utility development by which innovations betide abruptly, will furthermore live made without a substantial capital funding, and minister to live inventive combinations of prior to now-conventional recommendations."

however Oracle does pilot the employ of patents for protecting functions, particularly when a corporation is attacked by using an organization with a huge portfolio.That reality by myself does not imply Oracle can not, or hasn't, used its application property very aggressively. In October 2005, the trade received its first wide-spread open supply database element: Innobase, whose InnoDB contained business-type elements that had been in reality rolled into MySQL 5.0. by using acquiring InnoDB, Oracle ended up owning allotment of MySQL anyway, in a movement that InfoWorld's Neil McAlister astutely reasoned may live to hold the lessen-category database snugly within the lower classification, while siphoning purchasers into Oracle's upper class.

"it is why when Oracle snapped up Innobase in early October it turned into effortless to interpret the movement as a tremendous repellent on Oracle's half," McAlister wrote then. "by means of taking control of one of MySQL's essential interior organs, Oracle features the power to mash the upstart at a whim, effectively by means of closing its grip round Innobase. but, severely, why would Oracle try this?"

4 years later, they occupy a more in-depth glimpse of a solution to McAlister's query: by means of taking maneuver of the geography of enterprise databases over a bigger area, Oracle maintains MySQL safely inside its own continent, both locked away or funneling original purchasers throughout the channel. probably no person could ever rightly pretense that MySQL turned into a genuine chance, but these days, Oracle's movement ensures that it never can furthermore be. and that's the original world that developers in Santa Clara are waking up to.

OSCON: The saga of MySQL | existent Questions and Pass4sure dumps

At OSCON in 2006, I followed classes that discussed how open source groups would fare when gigantic corporations are available in. returned then there were only a handful of examples of gigantic agencies purchasing wee open source businesses. Three years later, we’ve witnessed MySQL AB fetch swallowed by means of solar, simplest to occupy sun live swallowed via Oracle. Now there are more open questions than ever and at least three versions of MySQL which are jockeying to proceed the MySQL blood-line. the day prior to this I attended talks with the aid of two of these organizations and i ought to phenomenon how the MySQL game will play itself out over time.

the primary talk I attended changed into: “Drizzle: status, principles, and Ecosystem” where a few Drizzle builders shared their options about this project. Brian Aker forked MySQL to create Drizzle a yr ago with the premise to create a brand original database that become leaner and extra extensible through the employ of a micro kernel and plugin model. The current MySQL codebase had grown overly advanced after a couple of elements occupy been “hacked in” which made adding greater facets overly problematic.

The drizzle group, which has a number of builders sponsored with the aid of sun, seems very tons concerned in regards to the technical nature of their assignment. As in most open supply tasks the developers peer less worried with politics and groups and more with creating a kick-ass database. i attempted to put a question to just a few inquiries to view the location they suppose that MySQL, Drizzle and MariaDB were headed, but largely the questions were no longer answered — they reiterated the focus on technical excellence. aside from having austere company support, Drizzle seems to live pushed with the aid of basic open supply principles. This makes me satisfied, since the way forward for both MySQL and Drizzle are uncertain seeing that Oracle simply purchased solar. Given the seat of attention on open supply ideas, I’m confident the Drizzle would now not depart away should silent Oracle settle to cease helping the crew.

The 2nd session was: “MariaDB: community pushed SQL Server” which presented Monty’s (of MySQL AB reputation) original enterprise Monty program AB. in contrast to the Drizzle community, Monty’s original enterprise has transparent corporate goals, finished with fluff and advertising and marketing communicate. the original business’s fork of MySQL, MariaDB, goals to live 100% suitable with the customary MySQL. Its designed to live a hundred% drop in replacement that goes even as far as letting people who are certified on MySQL drill their skills to MariaDB. even though Monty program AB differs in a number of aspects from the customary MySQL AB, it in fact looks to solemnize a reasonably equivalent model.

The people engaged on the middling MySQL had been now not too smartly represented birthright here at OSCON. not like Drizzle and MariaDB, MySQL is shrouded in skepticism on the grounds that no person know what Oracle plans to execute with MySQL. since it MySQL can cannibalize (and doubtless already has) Oracle’s flagship product, the way forward for MySQL is terribly unclear. The mindshare at OSCON naturally belongs to MariaDB and to Drizzle.

Returning returned to my customary factor now, they are able to view that the acquisition of MySQL AB by using sun hasn’t worked out in any respect how each person had hoped. many of the fears raised via my weblog publish from 3 years in the past occupy manifested during this mess. After MySQL became a sun property, the first-rate of MySQL began to endure, together with releasing a edition of MySQL that had earnest primary bugs. This had not ever came about before and despatched a transparent note that not every unique become neatly with MySQL. And the neighborhood had lots of frustrations with sun as sun slowed or stopped accepting patches. Even vital agencies like Google had critical patches to MySQL unnoticed. naturally the technique had damaged down.

these days they locate ourselves with as a minimum three models of MySQL that every unique occupy differing dreams, yet plight to share code with one an additional. Some might live usurp with each other, some smash original floor. The one component they comprehend for confident that nothing in this online game is certain. unless Oracle makes a press release in regards to the future of MySQL nothing can live clear.

I find it basically wonderful that each Drizzle and MariaDB occupy back MySQL to fundamental open supply roots. Neither neighborhood goes to require fancy licenses or copyright agreements and will completely signify on the employ of the GPL. Drizzle is devoid of a industrial mannequin for the time being and even Monty software AB will look like a extra “traditional” open source business.

Amidst this skepticism the only factor that is manifest to me is that the MariaDB and the Drizzle communities are not watching for the comfort — they're working on original enhancing their tasks as quick as they could. I for my allotment feel that Drizzle presents probably the most enjoyable approach to saving MySQL — it sounds like the codebase necessary a significant overhaul so as to damage some construction bottlenecks and to enable more people to return and participate within the structure manner.

even though I’ve switched to Postgres many moons in the past, I’m utterly concerned with what's at present occurring with MySQL. The present routine in this space are issues that they discussed three years ago with the conclusion of “This can live wonderful to watch!” indeed, it’s entertaining to watch — I account we’ll live speakme about this situation for fairly some time to near back. Oh, and MySQL clients: live anxious not — you’re going to live the winners in this whole debacle!

college football predictions: Why i'm taking OSU over Boise situation | existent Questions and Pass4sure dumps

Duke at Baylor: Blue Devils 26-21. prime possibility for the Bears. Duke is taking allotment in devoid of quarterback Daniel Jones.

Rutgers at Kansas: Scarlet Knights 24-20. massive 12 upset special. KU is by hook or by crook preferred. That’s right. Kansas is preferred.

Texas-San Antonio at Kansas State: Wildcats 27-17. Oh my goodness, ok-State isn’t very respectable. What on the planet has came about to the ‘Cats?

LSU at Auburn: fight Eagle 26-7. Of Auburn’s five toughest games – additionally including Washington, Mississippi State, Georgia and Alabama – handiest this one is at home. 

Alabama at Ole leave out: Crimson Tide 35-11. There turned into a time when this was the South’s optimal rivalry. not the Iron Bowl. now not Bama-Tennessee. no longer Georgia-Florida. This.

Vanderbilt at Notre Dame: combating Irish 27-16. Is Vandy competitive? We’ll find out.

Missouri at Purdue: Tigers 35-26. The Boilermakers had been thought to live ascending. Then they lost at domestic to Northwestern, forgivable but avoidable, after which lost at domestic to jap Michigan. Unforgivable. Now Purdue is a significant underdog at home to Mizzou, with Boston school coming to West Lafayette subsequent week. might the Boilermakers depart 0-4 to dawn the year with four home losses?

Colorado situation at Florida: Gators 34-14. Florida employed away Colorado situation train Jim McElwain after the 2014, however came at a price. Florida agreed to pay CSU $500,000 for six years, through 2020. McElwain agreed to pay $333,333 a 12 months for a similar six years. Plus Florida agreed to host Colorado situation in a ballgame, this one, for a $2 million assure. The Rams occupy stumbled upon probably the most top notch money-making schemes in historical past. hire an up-and-coming instruct, give him whatever thing he wants but encompass a huge buyout in his contract. by way of the finish of 2020, the Rams will had been paid $7 million by way of Florida to play one game and not occupy McElwain train them. And here’s the comic component. McElwain’s no longer even the Florida drill anymore; he became fired closing November with a 22-12 typical listing. ESPN pronounced that McElwain had been an “bizarre fit” from the beginning. here’s the funnier issue. It’s now not for confident that Florida will even win this online game. The Gators lost at domestic to Kentucky ultimate week, ending a 31-game train successful streak, and Colorado situation beat Arkansas.

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Sun Certified MySQL 5.0 Database(R) Administrator allotment II

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Configuring JDBC in Oracle JDeveloper | existent questions and Pass4sure dumps

The Java Database Connectivity (JDBC) API is used to access a SQL database from a Java application. JDBC furthermore supports tabular data sources, such as a spreadsheet.

Oracle JDeveloper is a free Integrated development Environment (IDE) for modeling, developing, debugging, optimizing, and deploying Java applications. JDeveloper 10g is used to develop J2EE applications comprising the JSPs, EJBs, struts, servlets, and Java classes that may require accessing a database table in an Oracle 10g Database or a third-party database. In this extract from the engage JDBC 4.0 and Oracle JDeveloper for J2EE development (Packt Publishing), they will view how to configure JDBC in the JDeveloper IDE.

Unlike the Eclipse IDE, which requires a plug-in, JDeveloper has a built-in provision to establish a JDBC connection with a database. JDeveloper is the only Java IDE with an embedded application server, Oracle Containers for J2EE (OC4J) or WebLogic Server in JDeveloper 11g. Thus a database-based Web application may rush in JDeveloper without a third-party application server. However, JDeveloper furthermore supports third-party application servers. Starting with JDeveloper 11, application developers can point the IDE to an application server instance, including third-party application servers, that you want to employ for testing during development. JDeveloper provides connection pooling for the efficient employ of database connections. A database connection may live used in an ADF BC (Business Components) application or in a Java EE application.

A database connection in JDeveloper may live configured in the Connections Navigator. A Connections Navigator connection is available as a DataSource registered with a JNDI naming service. The database connection in JDeveloper is a reusable named connection that developers configure once and then employ in as many of their projects as they want. Depending on the nature of the project and the database connection, the connection is configured in the bc4j.xcfg file or a Java EE data source. Here, it is necessary to distinguish between data source and DataSource. A data source is a source of data; for example, an RDBMS database is a data source. A DataSource is an interface that represents a factory for JDBC Connection objects.

JDeveloper uses the term Data Source or data source to refer to a factory for connections. They will furthermore employ the term Data Source or data source to refer to a factory for connections, which in the javax.sql package is represented by the DataSource interface. A DataSource protest may live created from a data source registered with the JNDI (Java Naming and Directory) naming service using JNDI lookup. A JDBC Connection protest may live obtained from a DataSource protest using the getConnection method. As an alternative to configuring a connection in the Connections Navigator, a data source may furthermore live specified directly in the data source configuration file data-sources.xml.

In this article they will discuss the procedure to configure a JDBC connection and a JDBC data source in JDeveloper 10g IDE. They will employ the MySQL 5.0 database server and MySQL Connector/J 5.1 JDBC driver, which uphold the JDBC 4.0 specification. In this article you will learn the following:

  • Creating a database connection in JDeveloper Connections Navigator.
  • Configuring the Data Source and Connection Pool associated with the connection configured in the Connections Navigator.
  • The common JDBC Connection Errors.
  • Before they create a JDBC connection and a data source they will discuss connection pooling and DataSource.

    Connection Pooling and DataSourceThe javax.sql package provides the API for server-side database access. The main interfaces in the javax.sql package are DataSource, ConnectionPoolDataSource, and PooledConnection. The DataSource interface represents a factory for connections to a database. DataSource is a preferred mode of obtaining a JDBC connection. An protest that implements the DataSource interface is typically registered with a Java Naming and Directory API-based naming service. DataSource interface implementation is driver-vendor specific. The DataSource interface has three types of implementations:

  • Basic implementation: In a basic implementation there is a 1:1 correspondence between a client's Connection protest and the connection with the database. This implies that for every Connection object, there is a connection with the database. With the basic implementation, the overhead of opening, initiating, and closing a connection is incurred for each client session.
  • Connection pooling implementation: A pool of Connection objects is available from which connections are assigned to the different client sessions. A connection pooling manager implements the connection pooling. When a client session does not require a connection, the connection is returned to the connection pool and becomes available to other clients. Thus, the overheads of opening, initiating, and closing connections are reduced.
  • Distributed transaction implementation: Distributed transaction implementation produces a Connection protest that is mostly used for distributed transactions and is always connection-pooled. A transaction manager implements the distributed transactions.
  • An edge to using a data source is that code accessing a data source does not occupy to live modified when an application is migrated to a different application server. Only the data source properties exigency to live modified. A JDBC driver that is accessed with a DataSource does not register itself with a DriverManager. A DataSource protest is created using a JNDI lookup and subsequently a Connection protest is created from the DataSource object. For example, if a data source JNDI appellation is jdbc/OracleDS, a DataSource protest may live created using JNDI lookup. First, create an InitialContext protest and subsequently create a DataSource protest using the InitialContext lookup method. From the DataSource protest create a Connection protest using the getConnection() method:

    InitialContext ctx=new InitialContext();DataSource ds=ctx.lookup("jdbc/OracleDS");Connection conn=ds.getConnection();

    The JNDI naming service, which they used to create a DataSource object, is provided by J2EE application servers such as the Oracle Application Server Containers for J2EE (OC4J) embedded in the JDeveloper IDE.

    A connection in a pool of connections is represented by the PooledConnection interface, not the Connection interface. The connection pool manager, typically the application server, maintains a pool of PooledConnection objects. When an application requests a connection using the DataSource.getConnection() method, as they did using the jdbc/OracleDS data source example, the connection pool manager returns a Connection object, which is actually a maneuver to an protest that implements the PooledConnection interface.

    A ConnectionPoolDataSource object, which is typically registered with a JNDI naming service, represents a collection of PooledConnection objects. The JDBC driver provides an implementation of the ConnectionPoolDataSource, which is used by the application server to build and manage a connection pool. When an application requests a connection, if a suitable PooledConnection protest is available in the connection pool, the connection pool manager returns a maneuver to the PooledConnection protest as a Connection object. If a suitable PooledConnection protest is not available, the connection pool manager invokes the getPooledConnection() mode of the ConnectionPoolDataSource to create a original PooledConnection object. For example, if connectionPoolDataSource is a ConnectionPoolDataSource object, a original PooledConnection gets created as follows:


    The application does not occupy to invoke the getPooledConnection() mode though; the connection pool manager invokes the getPooledConnection() mode and the JDBC driver implementing the ConnectionPoolDataSource creates a original PooledConnection and returns a maneuver to it. The connection pool manager returns a Connection object, which is a maneuver to a PooledConnection object, to the application requesting a connection. When an application closes a Connection protest using the close() method, as follows, the connection does not actually fetch closed.


    The connection maneuver gets deactivated when an application closes a Connection protest with the close() method. The connection pool manager does the deactivation. When an application closes a Connection protest with the close() method, any client info properties that were set using the setClientInfo mode are cleared.

    The connection pool manager is registered with a PooledConnection protest using the addConnectionEventListener() method. When a connection is closed, the connection pool manager is notified and the connection pool manager deactivates the maneuver to the PooledConnection protest and returns the PooledConnection protest to the connection pool to live used by another application.

    The connection pool manager is furthermore notified if a connection has an error. A PooledConnection protest is not closed until the connection pool is being reinitialized, the server is shutdown, or a connection becomes unusable.

    In addition to connections being pooled, PreparedStatement objects are furthermore pooled by default if the database supports statement pooling. It can live discovered if a database supports statement pooling using the supportsStatementPooling() mode of the DatabaseMetaData interface. The PreparedStatement pooling is furthermore managed by the connection pool manager. To live notified of PreparedStatement events such as a PreparedStatement getting closed or a PreparedStatement becoming unusable, a connection pool manager is registered with a PooledConnection manager using the addStatementEventListener() method. A connection pool manager deregisters a PooledConnection protest using the removeStatementEventListener() method. Methods addStatementEventListener and removeStatementEventListener are original methods in the PooledConnection interface in JDBC 4.0. Pooling of Statement objects is another original feature in JDBC 4.0. The Statement interface has two original methods in JDBC 4.0 for Statement pooling: isPoolable() and setPoolable().

    The isPoolable mode checks if a Statement protest is poolable and the setPoolable mode sets the Statement protest to poolable. When an application closes a PreparedStatement protest using the close() method, the PreparedStatement protest is not actually closed. The PreparedStatement protest is returned to the pool of PreparedStatements. When the connection pool manager closes a PooledConnection protest by invoking the close() mode of PooledConnection, every unique the associated statements furthermore fetch closed. Pooling of PreparedStatements provides significant optimization, but if a large number of statements are left open, it may not live an optimal employ of resources. Thus, the following procedure is followed to obtain a connection in an application server using a data source:

  • Create a data source with a JNDI appellation binding to the JNDI naming service.
  • Create an InitialContext protest and peer up the JNDI appellation of the data source using the lookup mode to create a DataSource object. If the JDBC driver implements the DataSource as a connection pool, a connection pool becomes available.
  • Request a connection from the connection pool. The connection pool manager checks if a suitable PooledConnection protest is available. If a suitable PooledConnection protest is available, the connection pool manager returns a maneuver to the PooledConnection protest as a Connection protest to the application requesting a connection.
  • If a PooledConnection protest is not available, the connection pool manager invokes the getPooledConnection() mode of the ConnectionPoolDataSource, which is implemented by the JDBC driver.
  • The JDBC driver implementing the ConnectionPoolDataSource creates a PooledConnection protest and returns a maneuver to it.
  • The connection pool manager returns a maneuver to the PooledConnection protest as a Connection protest to the application requesting a connection.
  • When an application closes a connection, the connection pool manager deactivates the maneuver to the PooledConnection protest and returns the PooledConnection protest to the connection pool.
  • ConnectionPoolDataSource provides some configuration properties to configure a connection pool. The configuration pool properties are not set by the JDBC client, but are implemented or augmented by the connection pool. The properties can live set in a data source configuration. Therefore, it is not for the application itself to change the settings, but for the administrator of the pool, who furthermore sometimes happens to live the developer, to execute so. Connection pool properties supported by ConnectionPoolDataSource are discussed in Table 1.

    Setting the EnvironmentBefore getting started, they occupy to install the JDeveloper 10.1.3 IDE and the MySQL 5.0 database. Download JDeveloper from: Download the MySQL Connector/J 5.1, the MySQL JDBC driver that supports JDBC 4.0 specification. To install JDeveloper, extract the JDeveloper ZIP file to a directory. Log in to the MySQL database and set the database to test. Create a database table, Catalog, which they will employ in a Web application. The SQL script to create the database table is listed below:

    CREATE TABLE Catalog(CatalogId VARCHAR(25)PRIMARY KEY, Journal VARCHAR(25), Publisher VARCHAR(25),Edition VARCHAR(25), Title Varchar(45), Author Varchar(25));INSERT INTO Catalog VALUES(‘catalog1', ‘Oracle Magazine',‘Oracle Publishing', ‘Nov-Dec 2004', ‘Database Resource Manager', ‘Kimberly Floss');INSERT INTO Catalog VALUES(‘catalog2', ‘Oracle Magazine', ‘Oracle Publishing',‘Nov-Dec 2004', ‘From ADF UIX to JSF', ‘Jonas Jacobi');

    MySQL does not uphold ROWID; uphold has been added in JDBC 4.0. Having installed the JDeveloper IDE, next they will configure a JDBC connection in the Connections Navigator. Select the Connections tab and right-click on the Database node to select original Database Connection (see motif 1).

    Click on Next in Create Database Connection Wizard. In the Create Database Connection nature window, specify a Connection appellation - MySQLConnection for illustration - and set Connection nature to Third Party JDBC Driver, because they will live using a MySQL database, which is a third-party database for Oracle JDeveloper and click on Next. If a connection is to live configured with an Oracle database select Oracle (JDBC) as the Connection nature and click on Next (see motif 2).

    In the Authentication window specify Username as root (Password is not required to live specified for a root user by default), and click on Next. In the Connection window, they will specify the connection parameters, such as the driver appellation and connection URL; click on original to specify a Driver Class. In the Register JDBC Driver window, specify Driver Class as com.mysql.jdbc.Driver and click on Browse to select a Library for the Driver Class. In the Select Library window, click on original to create a original library for the MySQL Connector/J 5.1 JAR file. In the Create Library window, specify Library appellation as MySQL and click on Add Entry to add a JAR file entry for the MySQL library. In the Select Path Entry window select mysql-connector-java-5.1.3-rcmysql-connector-java-5.1.3-rc-bin.jar and click on Select. In the Create Library window, after a Class Path entry gets added to the MySQL library, click on OK. In the Select Library window, select the MySQL library and click on OK. In the Register JDBC Driver window, the MySQL library gets specified in the Library domain and the mysql-connector-java-5.1.3-rcmysql-connector-java-5.1.3-rc-bin.jar gets specified in the Classpath field. Now, click on OK. The Driver Class, Library, and Classpath fields fetch specified in the Connection window. Specify URL as jdbc:mysql://localhost:3306/test, and click on Next (see motif 3).

    In the Test window click on Test Connection to test the connection that they occupy configured. A connection is established and a success message gets output in the Status text area. Click on Finish in the Test window. A connection configuration, MySQLConnection, gets added to the Connections navigator (see motif 4).

    The connection parameters are displayed in the structure view. To modify any of the connection settings, double-click on the Connection node. The Edit Database Connection window gets displayed. The connection Username, Password, Driver Class, and URL can live modified in the Edit window.

    A database connection configured in the Connections navigator has a JNDI appellation binding in the JNDI naming service provided by OC4J. Using the JNDI appellation binding, a DataSource protest may live created in a J2EE application. To view or modify the configuration settings of the JDBC connection select Tools | Embedded OC4J Server Preferences in JDeveloper. In the window displayed, select Global | Data Sources node, and to update the data-sources.xml file with the connection defined in the Connections navigator click on the Refresh Now button. Checkboxes may live selected to Create data-source elements where not defined and to Update existing data-source elements (see motif 5).

    The connection pool and data source associated with the connection configured in the Connections navigator fetch listed. Select the jdev-connection-pool-MySQLConnection node to list the connection pool properties as Property Set A and Property Set B (see motif 6).

    The tuning properties of the JDBC connection pool may live set in the Connection Pool window. The different tuning attributes are listed in Table 2.

    Select Property Set B to specify additional connection pool properties (see motif 7).

    The connection pool properties in Property Set B are discussed in Table 3.

    The Connection Factory node specifies the Factory Class, User name, Password, Login Timeout, and connection URL. The factory class must implement one of the following interfaces: java.sql.Driver, javax.sql.DataSource, javax.sql.ConnectionPoolDataSource, javax.sql.XADataSource (see motif 8).

    The Managed DataSource node specifies the managed data sources associated with the connection and which are data sources managed by the OC4J. A managed data source is an OC4J implementation of the javax.sql.DataSource interface that wraps a JDBC driver class, or data source class. Even if the factory class does not implement the javax.sql.DataSource interface, the OC4J implementation of the factory class implements the javax.sql.DataSource interface. A managed data source supports connection caching, global transaction management, and oversight handling, every unique provided by the OC4J. A managed data source is associated with a connection pool and thus has the edge of being able to specify the tuning parameters. The JNDI appellation of the data source is specified in the managed data source window. The JNDI appellation is in the jdbc/MySQLConnectionDS format, with MySQLConnection being the connection appellation configured in the Connections navigator (see motif 9).

    A connection MySQLConnection in the Connections navigator is available as a data source with the JNDI appellation binding jdbc/MySQLConnectionDS. To obtain a connection from the data source, add a resource-ref ingredient to the Web application in which a connection is to live obtained. In a servlet or JSP application, a connection may live obtained with the data source JNDI Name.

    InitialContext initialContext = original InitialContext();javax.sql.DataSource ds = (javax.sql.DataSource)initialContext.lookup("java:comp/env/jdbc/MySQLConnectionDS");java.sql.Connection conn = ds.getConnection();

    JavaEE 5 defines annotations to uphold resource injection. Resource injection is the injection of external resources, such as a data source in a JEE 5 application using the javax.annotation.Resource annotation. JDeveloper 11 supports resource injection with annotations to obtain a maneuver of a data source. For example, define a catalogDS resource of the javax.sql.DataSource type, as shown below:

    private @Resource DataSource catalogDS;

    The catalogDS domain of nature javax.sql.DataSource is annotated with the @Resource annotation. JNDI lookup is not required with resource injection, and the DataSource resource is furthermore not defined in the web.xml deployment descriptor.

    JDBC Configuration ErrorsYou might fetch errors while configuring a JDBC connection. If you are using MySQL, and the connection URL is incorrect, or the MySQL database is not running, the following oversight message is generated:

    Communications link failure

    If you are using an Oracle database, some possible connection configuration errors are listed below:

    IO exception: The Network Adapter could not establish the connectionIO exception: Connection refused

    The Network Adapter could not establish the connection exception is caused by one or more of the following configuration errors:

  • The database host name, port number, or database instance appellation is wrong.
  • The database TNSListener has not been started. The TNSListener may live started with the lsnrctl utility.
  • C:>lsnrctl start

    The Connection refused exception is caused by one or more of the following configuration errors:

  • The database SID specified is incorrect.
  • The database instance has not been started. To start the database instance connect to SQL*Plus as SYSDBA.
  • C:>sqlplus SYS/<pwd> AS SYSDBA

    At the SQL prompt, start the database instance with the startup command:


    SummaryJDeveloper IDE provides a built-in Connections navigator to configure a connection with any relational database for which a JDBC driver is available. A connection configured in the Connections navigator is furthermore available as a data source. In this article, they occupy configured a JDBC connection in JDeveloper with the MySQL database using the MySQL Connector/J 5.1 JDBC 4.0 driver.

    How to Diagnose Java Resource Starvation | existent questions and Pass4sure dumps

    We can visualize resource starvation using an intricate rendition of the Dining Philosophers Problem. This classic metaphor of resource allocation among processes was first introduced in 1971 by Edsger Dijkstra in his paper "Hierarchical Ordering of Sequential Processes." It's been a model and universal mode for verifying theories on resource allocation ever since.

    The metaphor goes like this: There are three well-known philosophers in an Asian bistro. Dinner is served but they are only given three chopsticks because the restaurant's supply truck has been stuck in a snow storm for a couple of days. Naturally each philosopher needs two chopsticks to consume his dinner and each is protected from interference while he uses a chopstick.

    Plato skipped lunch that day and insists that he should occupy priority or else he'll faint. If he doesn't give up his chopsticks, the other philosophers won't live able to consume and eventually they'll starve. If Plato drops his chopsticks and immediately picks them up before the other philosophers can fetch them then they won't live able to consume and they'll eventually starve.

    Dijkstra's Dining Philosophers Problem employed spaghetti and forks but I used chopsticks and Asian cuisine for a more realistic illustration since you can't consume spaghetti with a unique chopstick (see motif 1).

    These are examples of resource starvation. You could furthermore encounter deadlock. There are a couple of solutions like semaphores and monitors. But they won't speculate about solutions or deadlocks in this article. We'll focus on detecting resource starvation using IBM Thread and Monitor Dump Analyzer for Java.

    What Is the IBM Thread and Monitor Dump Analyzer for Java?During the runtime of a Java process, some Java Virtual Machines (JVMs) may not respond predictably and often look to hang up for a long time or indefinitely (until the JVM shuts down). It's sometimes very challenging to determine the root causes of these sorts of problems.

    By triggering Java thread dumps or Javacores when a Java process doesn't respond, it's possible to collect diagnostic information related to the JVM and a Java application captured at a particular point during execution.

    On some platforms, a Javacore is known as "javadump." The code that creates a Javacore is allotment of the JVM. One can control it by using environment variables and runtime switches. By default, a Javacore occurs when the JVM terminates unexpectedly. A Javacore can furthermore live triggered by sending specific signals to the JVM. Although a Javacore or javadump can occur in Solaris JVMs, much of the content of the Javacore is added by IBM and, so, is present only in IBM JVMs.

    IBM Thread and Monitor Dump Analyzer for Java analyzes thread dumps/Javacores and diagnoses monitor locks and thread activities to identify the root causes of hangs, deadlocks, and resource contention or monitor bottlenecks. It can resolve IBM, Solaris, and HP-UX Java thread dumps from Java Virtual Machine 1.3.1, 1.4.x, 5.0, and 6.0

    More than three years ago, I created IBM Thread and Monitor Dump Analyzer for Java as a garage project and spent thousands of hours during weeknights, weekends, and vacations to provide my clients and colleagues with something that can encourage diagnose these problems easily, motivated by the same reasons as my other garage projects like IBM HeapAnalyzer, IBM Pattern Modeling and Analysis Tool, and IBM Performance Analyzer for Java for Windows. every unique the algorithms used occupy been filed with the U.S. Patent and Trademark Office.

    The widgetry was introduced to the public about two years ago through alphaWorks where it's been one of the top downloads for 30 consecutive months. It's recorded 23,296 downloads so far and it's been used by more than 14,600 companies, government agencies, research facilities, and universities worldwide (these statistics are pleasurable as of October 2008).

    What Is a Thread Dump?A Java thread dump is the one of the traces/dumps that JVM provides to encourage diagnosis a hang, deadlock, or monitor contention issue. It contains diagnostic information related to the JVM and a Java application captured at a point during execution. For example, the information can live a list of every unique the threads that rush on a Java virtual machine. Usually thread dumps occupy more than just thread information. Thread dumps can produce information about the operating system, application environment, threads, stacks, locks, and memory. IBM Thread Dumps/Javacores provide much more information like core interface, data conversion/unicode, class, diagnosis, execution management/thread management, lock, execution engine, mixed mode interpreter, JIT (Just-in-Time compiler), storage/JVM heap, and hardware portability interface/extended hardware portability interface.

    The contents and formats of Java thread dumps depend on the platform you're running on and the JVM provider.

    Since a thread dump's format isn't a allotment of the SDK specification, each SDK vendor provides a unique thread dump format and its own JVM information. Currently IBM Thread and Monitor Dump Analyzer for Java understands IBM, Solaris, and HP-UX Java thread dump formats.

    By default, IBM JVM thread dumps occur when the JVM terminates unexpectedly. A thread dump can furthermore live triggered by sending specific signals to the JVM. Thread dumps are usually human readable text. In an IBM JVM, the thread dump is often called a Javadump or Javacore. Javacore is NOT the same as a core file, which is generated by a system dump.

    Before IBM Thread and Monitor Dump Analyzer for Java was introduced, people had to manually check hundreds of threads in the thread dumps using their favorite editors. With IBM Thread and Monitor Dump Analyzer for Java, they can easily diagnose a variety of issues without reading through hundreds of thread stack traces.

    Usually thread dumps aren't as large as pile dumps. Usually its size is around 1MB or less unless you occupy large number of threads or classes. It's not a gigantic deal to manually review thread dumps if you only occupy a handful of threads running on your JVM. If you occupy hundreds of threads with dozens of Java monitors, it gets complicated.

    How Does It Work?This technology analyzes the information in each thread and provides diagnostic information, such as current thread information, the signal that caused the Javacore/Java pile information (maximum Java pile size, initial Java pile size, garbage collector counter, allocation failure counter, free Java pile size, and allocated Java pile size), number of runnable threads, total number of threads, number of monitors locked, indigenous recollection usage of each JVM component, and deadlock information.

    IBM Thread and Monitor Dump Analyzer for Java furthermore provides you with the recommended size of the Java pile cluster (applicable only to IBM SDK 1.4.2 and 1.3.1 SR7 or above) based on a heuristic analysis engine.

    It compares each Javacore and provides process ID information for threads, a time stamp of the first Javacore, a time stamp of the eventual Javacore, the number of garbage collections a minute, the number of allocation failures a minute, the time between the first Javacore and the eventual Javacore, the number of hang suspects, and a list of hang suspects.

    This technology furthermore compares every unique monitor information in a Javacore and detects deadlock and resource contention or monitor bottlenecks, if there are any.

    Let's fetch StartedWe can simulate a starvation problem with a simple Java application.

    In, they created three chopsticks, c1, c2, and c3 with the names, chopstick 1, chopstick 2, and chopstick3. Then they created three philosophers, p1, p2, and p3 with the names, Socrates, Plato, and Aristotle. You might occupy noticed that each philosopher's appellation has a suffix that represents a priority since they want to give Plato more of a chance to eat. Besides a appellation and priority, each philosopher is furthermore given a left chopstick and a birthright chopstick. They start with each philosopher, p1, p2,  and p3 as shown in Listing 1. (Download Listings 1-6 here.)

    In, they just create a constructor, a getter, and a setter for the appellation of chopstick as shown in Listing 2

    In, they create a constructor, getters and setters for birthright and left chopsticks, and the philosopher's name. They furthermore override the run() mode in which they acquire Java's built-in monitors for left and birthright chopsticks and muster the eat() method. In each () method, they suspension for two seconds to simulate eating with the sleep() mode but withhold in judgement that the philosopher is eating, not sleeping in the eat() method. view Listing 3.

    Now let's reserve every unique the classes in a subdirectory, compile, and rush them.

    Compiling classes on a Unix platformjavac com/ibm/Jinwoo/starvation/

    Compiling classes on a Windows platformjavac com\ibm\jinwoo\starvation\

    I used the latest release of IBM Java virtual machine 6.0 (build jvmwi3260-20080816_22093 VM build 20080816_022093_lHdSMr) and another vendor's latest release of a Java virtual machine 6.0 when I wrote this for a unbiased comparison.

    Executing classesjava priority9 is eating with chopstick 3 and chopstick 1Plato priority9 is eating with chopstick 3 and chopstick 1Plato priority9 is eating with chopstick 3 and chopstick 1Plato priority9 is eating with chopstick 3 and chopstick 1Plato priority9 is eating with chopstick 3 and chopstick 1

    Most of the time Plato will live eating and the other two philosophers will occupy less of a chance to eat. They can generate thread dumps by sending signal 3 to the process. On the Windows platform, you can employ keyboard combinations like Ctrl-Break to dispatch signal 3 to a process running in a command line window. Listing 4 has the results from the IBM Java virtual machine.

    We used another vendor's Java virtual machine and redirected output to a file.

    Generating thread dumps with another vendor's Java virtual machinejava 1> sun.log

    Now let's talk about thread dump a Little more. In most Java platforms, thread dumps are generated when the JVM terminates unexpectedly because of an operating system signal or when the user enters a reserved key combination control-break on Windows, say. They can furthermore generate thread dumps with IBM's JavaDump API: if you're running a IBM Java virtual machine.

    You can employ the execute command on most Unix systems:

  • SIGQUIT[3] : JVM will not terminate
  • For example, execute -3 $PID

  • SIGSEGV[11] : JVM will terminate
  • For example, execute -11 $PID

    On the IBM WebSphere Application Server 5/6 environment, you can employ wsadmin script to generate thread dumps: -conntype SOAP -port <port number>> set jvm [$AdminControl completeObjectName type=JVM,process=server1,*]> $AdminControl invoke $jvm dumpThreads

    Anatomy of a Java Finalizer | existent questions and Pass4sure dumps

    Analysis of the Java HeapThe IBM HeapAnalyzer is furthermore one of top five technologies at alphaWorks. It's actually the most current technology there. HeapAnalyzer commands about 10% of the downloads at the site. You can fetch a copy of IBM HeapAnalyzer here.

    This Java pile dump is about 70MB in size. -Xmx1000m should live enough for IBM HeapAnalyzer to process it. If you fetch java.lang.OutOfMemoryError from IBM HeapAnalyzer, you exigency to add more to the JVM with the -Xmx command-line option. Here's a command-line illustration for a Unix system to start version 3.4 of IBM HeapAnalyzer:

    # /usr/java5/bin/java -Xmx1000m -jar ha34.jar

    This is an illustration for Windows system:

    C:\java5\bin\java -Xmx1000m -jar ha34.jar

    If higher than V3.4 is available, gladden employ that version. V3.4 is the latest version as of January 2009.

    Currently there's no headless mode for IBM HeapAnalyzer. The following is the first screen from the tool. They can just click on the folder icon and open the Java pile dump (see motif 5).

    After the Java pile dump is loaded, an analysis window shows up with a Java pile leak suspect as seen in motif 6.

    Java pile usage is 52,053,322 bytes or approximately 49.6MB. Considering that they set -Xmx50m in the command line, it makes sense that the Java pile got exhausted. Unlike gasoline in your car's gas tank, it's virtually impossible to employ up the eventual drop of the Java pile for a couple of reasons. One explanation is that there are 0.4MB of free Java pile but they wanted a 0.5MB Java heap. They would fetch java.lang.OutOfMemoryError even though they occupy 0.4MB of free space. Probably 0.4MB of space may not live a unique contiguous space anyway.

    IBM HeapAnalyzer identifies a leak suspect, java/lang/ref/Finalizer, which is responsible for 51,879,248 bytes (99.665596 %) of Java heap.

    51,879,248 (99%) [32] 5 java/lang/ref/Finalizer 0x25783a48

    In the reference tree view, the suspect is highlighted in blue. gladden note that they employ the word, leak suspect, not leak perpetrator, since the tool can't live 100% confident whether this is a root antecedent of the Java pile leak. That's why they don't want a computer to execute decisions under any judicial system.

    So, why does IBM HeapAnalyzer speculate java/lang/ref/Finalizer is a leak suspect in motif 7?

    Here's a clue:

    Number of objects with finalize() method                  1,298,247Number of garbage objects implementing finalize() method  1,298,242

    The number of garbage objects implementing the finalize() mode is almost the same as the number of objects with a finalize() method. In most cases, the Java pile dump isn't supposititious to accommodate any garbage because by default most of JVMs execute garbage collection before generating a pile dump. But they execute occupy garbage objects implementing finalize() mode according to HeapAnalyzer's analysis. If you're skeptical about the analysis, let's investigate further to view whether the analysis is remedy or not.

    We can expand java/lang/ref/Finalizer to view what objects are referenced from java/lang/ref/Finalizer. After a couple of expansions from the reference tree view they realize that java/lang/ref/Finalizer objects are linked like chains.

    If they click on one of the java/lang/ref/Finalizers, they can view the properties and values of the protest in the window on the right.

    java/lang/ref/Finalizer next      0x257838e0Java/lang/ref/Finalizer prev     0x25783930

    The properties "next" and "prev" are variables of the java/lang/ref/Finalizer. They occupy references to the java/lang/ref/Finalizer. Each java/lang/ref/Finalizer has a reference to a java/lang/ref/Finalizer in the variable "prev" and a reference to a java/lang/ref/Finalizer in the variable "next." They can furthermore find a variable "referent" that has a reference to an ObjectWYieldFinalizer. Does this protest peer familiar? You're right. That's an instance of the class they just built and ran.

    ObjectWYieldFinalizer referent      0x25783900

    Almost every unique of java/lang/ref/Finalizers occupy references to ObjectWYieldFinalizers as referents. gladden note too that java/lang/ref/Finalizer has a reference to a java/lang/ref/ReferenceQueue in the variable "queue." They will near back later to check the variable "queue."

    java/lang/ref/ReferenceQueue queue      0x2579a048

    Let's grasp a peer at the variable "prev" of the leak suspect java/lang/ref/Finalizer at 0x25783a48. It has a reference to another java/lang/ref/Finalizer. They can click on the icon Tree View to open more reference tree views (see motif 8).

    java/lang/ref/Finalizer prev             0x25783a70java/lang/ref/ReferenceQueue queue       0x2579a048

    java/lang/ref/Finalizer at 0x25783a70 is marked with V (check icon) under the leak suspect java/lang/ref/Finalizer at 0x25783a48. This means java/lang/ref/Finalizer at 0x25783a70 is furthermore referenced from other objects. They can find it under java/lang/ref/ReferenceQueue at 0x2579a048. There's the same chain pattern of java/lang/ref/Finalizer. Here's a something very interesting. The variable "queue" does not occupy a reference to java/lang/ref/ReferenceQueue. Instead it's pointing to java/lang/ref/ReferenceQueue$Null.

    java/lang/ref/ReferenceQueue$Null queue     0x2579b9c8

    Is that only for java/lang/ref/Finalizer at 0x25783a70? They can expand java/lang/ref/Finalizer at 0x25783a70 to view what other java/lang/ref/Finalizer objects occupy in the variable "queue" (see motif 9).

    It's very consuming that other java/lang/ref/Finalizer objects furthermore occupy 0x2579b9c8 (java/lang/ref/ReferenceQueue$Null) in the variable "queue." Let's find out what java/lang/ref/ReferenceQueue$Null at 0x2579b9c8 is. Select java/lang/ref/ReferenceQueue$Null at 0x2579b9c8, bring up a pop-up menu and select List parents menu as seen in motif 10.

    Here's list of objects that occupy references to java/lang/ref/ReferenceQueue$Null at 0x2579b9c8. Let's sort them by appellation by clicking on the appellation header of the table. Click on it again to sort in reverse order. They can find the class of java/lang/ref/ReferenceQueue at the top of the table. From the detailed information pop-up menu of the class java/lang/ref/ReferenceQueue, they can view that the address 0x2579b9c8 is referenced as the variable "ENQUEUED" (see motif 11).

    java/lang/ref/ReferenceQueue$Null ENQUEUED    0x2579b9c8

    Based on the variable appellation "ENQUEUED," they can guess that any java/lang/ref/Finalizer protest with ENQUEUED in the "queue" variable is queued for finalization. Other java/lang/ref/Finalizer objects without ENQUEUED in the "queue" variable are eventually going to live enqueued for finalization. How many java/lang/ref/Finalizer objects execute they occupy in the queue? Probably 1,251,762 according to the variable "queueLength" of java/lang/ref/ReferenceQueue, which means 46,485 java/lang/ref/Finalizer objects exigency to live enqueued (see motif 12).

    If a java/lang/ref/Finalizer protest is enqueued, is it finalized? Not necessarily, according to their investigation. In ObjectWYieldFinalizer, they implemented the finalize() mode with Thread.yield(), which means it likely never completes executing the finalize() method. So java/lang/ref/Finalizer objects will linger in the queue and antecedent the Java pile to leak. The java/lang/ref/Finalizer protest itself might live wee in size. If they occupy millions of them, that's not trivial. Furthermore, java/lang/ref/Finalizer doesn't hang around alone, it has a reference to the protest that has the finalize() method. So they would occupy millions of java/lang/ref/Finalizer objects and their referenced objects, millions of objects that occupy finalize() methods in the Java pile growing and growing. Eventually they would view java.lang.OutOfMemoryError due to Java pile exhaustion.

    We occupy a similar result with ObjectWExceptionFinalizer.

    Let's rush ObjectWEmptyFinalizer in which they did not implement any code in the finalize() mode and ObjectWOFinalizer that did not occupy any finalize() mode on Sun's JVM. Even after several hours, they don't view any java.lang.OutOfMemoryError. -XX:+HeapDumpOnOutOfMemoryError will not create any Java pile dump if there's no java.lang.OutOfMemoryError. Here's another card for that situation. -XX:+HeapDumpOnCtrlBreak will create a Java pile dump on a Control-Break key combination or SIGQUIT signal. This is a way to trigger a Java pile dump on demand. Currently not every unique of Sun's JVMs uphold these options. gladden refer to the JVM documentation for detailed information.

    In motif 13 there's an analysis of a Java pile dump from ObjectWEmptyFinalizer. Of course, they occupy to trigger a Java pile dump with a -XX:+HeapDumpOnCtrlBreak command-line option in location since there's no java.lang.OutOfMemoryError.

    Java pile usage is only 218,189 bytes. That's why they didn't fetch any java.lang.OutOfMemoryError. There are only nine objects that occupy finalize() methods in the Java heap. They had millions of them in the Java pile dump from ObjectWYieldFinalizer. There are chains of java/lang/ref/Finalizer objects but only nine of them exist. Looks like the JVM didn't occupy any problem completing the finalize() methods of the ObjectWEmptyFinalizer and reclaiming spaces occupied by ObjectWEmptyFinalizer and Finalizers.

    Let's try the IBM Java runtime and grasp a peer at the Java garbage collection vestige and Java pile dumps. You don't exigency a -XX:+HeapDumpOnCtrlBreak or -XX:+HeapDumpOnOutOfMemoryError command-line option on an IBM JVM. You can create a Java pile dump on a Control-Break key combination or SIGQUIT signal without any additional command-line options. Here's a Java garbage collection vestige from an IBM Java virtual machine. With a -verbosegc option alone, they can fetch quite a lot of information (see Listing 7).

    Figure 14 shows the analysis and recommendation from the IBM Pattern Modeling and Analysis Tool. They're similar.

    From chart view, the used tenured area goes up rapidly and reaches the maximum confine (see motif 15).

    The IBM Java runtime provides a Portable pile Dump (PHD) format of the Java pile dump by default in recent versions. In earlier versions a Text (TXT) format was provided by default. Here's a Java pile dump from ObjectWYieldFinalizer on IBM Java 6. Yes, there's a java.lang.OutOfMemoryError (see motif 16).

    Java pile usage is 52,427,816 bytes, approximately 49.99MB, almost reaching the maximum Java pile size of 50MB. No phenomenon they got java.lang.OutOfMemoryError. Unfortunately there's no leak suspect in the Java pile dump taken from IBM Java 6. They don't view any java/lang/ref/Finalizer protest chains either in the IBM Java 6 pile dump. Let's search for ObjectWYieldFinalizer objects by clicking on search icon and putting ObjectWYieldFinalizer in the search string (see motif 17).

    We occupy as many as 3,251,653 ObjectWYieldFinalizer objects. They are holding 52,026,464 bytes of Java heap. ObjectWYieldFinalizer objects are not referenced from java/lang/ref/Finalizer objects. They execute not occupy any parents. They view the same pattern in IBM Java 5 runtime as well. It seems that IBM Java 5 and Java 6 implement Finalizers in indigenous code even though I haven't looked at the source code. ObjectWYieldFinalizer protest should occupy been garbage collected but they are silent in Java heap. They are not referenced from any Java object, which means they are referenced from indigenous code. That's why I suspect that IBM Java 6 and Java 5 implement Finalizers in indigenous code. Is that a pleasurable move? Maybe or maybe not. The efficiency of the indigenous code would live an upside. They occupy more room in the Java pile since Finalizers employ less Java pile thanks to indigenous Finalizers. In the IBM Java 6 pile dump, 3,251,653 ObjectWYieldFinalizer objects were able to happy in 50MB of Java pile whereas Sun's Java 6 could only accommodate 1,298,244 ObjectWYieldFinalizer objects in 50MB of Java heap. But IBM Java 6 and Java 5 would consume indigenous recollection to maneuver indigenous Finalizers. indigenous recollection usage is not limited by the -Xmx command-line option. A downside is that they can no longer withhold track of Finalizers in the Java pile dump (see motif 18).

    Let's check out what IBM Java used to live in Java Virtual Machine version 1.4.2. Here's a Java pile dump from ObjectWYieldFinalizer on IBM Java 1.4.2 (see motif 19).

    This looks like the Java pile dump from Sun's Java runtime. They view the same pattern of chained java/lang/ref/Finalizer objects.

    Number of garbage objects implementing finalize() method  1,073,276Number of objects with finalize() method                  1,073,654Java pile usage                                               52,527,856 bytes

    By expanding Finalizer objects, they can authenticate that reference structures are almost same as what they saw with Sun's Java pile dump (see motif 20).

    The java/lang/ref/Finalizer protest at 0x4f12d78 has a reference to the java/lang/ref/ReferenceQueue protest at 0x2872730. The java/lang/ref/Finalizer protest at 0x4f12d48 has a reference to java/lang/ref/ReferenceQueue$Null at 0x2869d20, which is probably enqueued for finalization. Unfortunately the IBM Java pile dump (PHD/TXT) does not provide the names of variables or the contents of the variables. So there's no way to find out which Finalizer protest is the next Finalizer protest from the PHD or TXT format of the Java pile dump.

    Analysis of Java Thread DumpsWe can furthermore grasp a peer at this problem from the Java thread's point of view. Let's fetch a copy of the IBM Thread and Monitor Dump Analyzer for Java from and resolve Java thread dumps.

    The Java thread dump at the top, javacore.20081111.081343.3360.txt, is taken from the IBM Java 1.4.2 runtime (see motif 21).

    Another dump at the middle, verbosegc.txt_1, is taken from the Sun Java 6 runtime. The other thread dump at the bottom, javacore.20081111.081932.2172.0003.txt, is taken from the IBM Java 6 runtime.

    We can view the Finalizer thread and the Reference Handler thread. They execute not view the Reference Handler thread in the IBM Java 6 thread dump though. every unique Finalizer threads are executing the java.lang.Thread.yield() method, which causes the current thread (Finalizer thread) to suspension and allow other thread to run. Reference Handler threads enqueue Finalizer objects for finalization. every unique the stack traces of the Finalizer thread occupy runFinalizer() or similar methods. The runFinalizer() mode calls the finalize() mode in the ObjectWYieldFinalizer protest and the finalize() mode calls the java.lang.Thread.yield() method. Basically the Finalizer thread paused because of the java.lang.Thread.yield() method.

    ConclusionWe ran an experiment on various finalizer implementations in various Java Virtual Machines. They used a handful of tools to investigate the problem from different perspectives. The finalize() mode could live used to execute cleanup tasks on any system resources before an protest is discarded when the protest is no longer referenced. They observed that there's risks in using the finalize() mode in the current implementation of IBM and Sun Java Virtual Machines. If they want to discharge cleanup tasks on objects, they might want to account finalizers as a eventual apply and implement their own more predictable cleanup method.

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