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At any point before committing a transaction, you may invoke rollback() (a method of a Connection object) to roll back the transaction and restore values to the last commit point (before the attempted updates). The following example shows rollback() and commit() together: java.sql.Connection conn = getConnection(); conn.setAutoCommit(false); // start a transaction java.sql.Statement stmt = conn.createStatement(); stmt.executeUpdate("INSERT INTO emp_table(id, name) VALUES('11', 'alex')"); stmt.executeUpdate("INSERT INTO emp_table(id, name) VALUES('22', 'mary')"); conn.rollback(); // the preceding inserts will not commit; stmt.executeUpdate("INSERT INTO emp_table(id, name) VALUES('33', 'jeff')"); conn.commit(); // end the transaction Let s walk through the preceding example to understand the effects of the rollback() and commit() methods: 1. You first set autocommit off, indicating that the following JDBC statements need to be considered as a unit. 2. You attempt to insert two new records into the emp_table table; however, this change has not been finalized (committed) yet. 3. When you invoke rollback(), you cancel the two insert statements and in effect remove any intention of inserting tuples for 'alex' and 'mary'. 4. Note that emp_table now is still as it was before you attempted the two insert statements. 5. You then attempt another insert, and this time, you commit the transaction. It is only now that emp_table is permanently affected and has the new tuple (with a value of 'jeff') in it.

<column-type-name>VARCHAR</column-type-name> </column-definition> <column-definition> <column-index>2</column-index> <auto-increment>false</auto-increment> <case-sensitive>false</case-sensitive> <currency>false</currency> <nullable>1</nullable> <signed>false</signed> <searchable>true</searchable> <column-display-size>60</column-display-size> <column-label>name</column-label> <column-name>name</column-name> <schema-name></schema-name> <column-precision>60</column-precision> <column-scale>0</column-scale> <table-name>ztest</table-name> <catalog-name>octopus</catalog-name> <column-type>12</column-type> <column-type-name>VARCHAR</column-type-name> </column-definition> </metadata> <data> </data> </webRowSet> ==============

JDBC s default behavior is to consider every operation as atomic; this means for every single statement, a transaction begins, and if execution of the statement is successful, then it is committed; otherwise, an exception will be thrown (the transaction is rolled back automatically). Therefore, by default in the JDBC model, a connection is in autocommit mode, and its autocommit flag is set to true; this means each statement executed in this connection has its own transaction that is committed and rolled back when the call to executeQuery, for instance, is returning.

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We can see in the style.css file that the ID selector #scroller contains a position property set to relative a necessary condition to make the image scroll (images scroll by assigning them some position relative to their current location). The height and width are set to 760px and 150px, respectively. The height of 760px is required to display all five images of height 150px each (one below the other), plus some distance between them. Also, the style sheet contains a type selector #scroller a img to apply the style properties to the img element nested inside the anchor element, which in turn is enclosed with an HTML element of ID scroller. That is, the style property with value 0 will be applied to the img elements to make the borders of the images invisible. Now in the jQuery code itself, we see that all the contents in the div element of ID scroller are retrieved and stored in a variable wrapper. That is, all the images are now contained in the wrapper variable. Using the .css() method, we apply the overflow property set to hidden to the wrapper variable (to the block of images) so as to make the images that scroll down the browser window invisible. Also, a function named animator is defined, which is invoked by the statement animator($wrapper);

Using JDBC, you can use explicit transactions by following this model: Connection conn = <get-a-valid-connection-object>; // set the connection in explicit transaction mode // begin a new transaction conn.setAutoCommit(false); conn.executeQuery(sqlQuery1); // step-1 conn.executeQuery(sqlQuery2); // step-2 conn.executeQuery(sqlQuery3); // step-3 // commits all the transactions conn.commit(); or by following this: // cancel (roll back) all the transactions conn.rollback();

$ java WebRowSetMetaDataExample odbc Querying database for metadata only... sqlQuery=SELECT * FROM ztest WHERE 1=0 java.lang.UnsupportedOperationException at sun.jdbc.odbc.JdbcOdbcDatabaseMetaData.locatorsUpdateCopy (JdbcOdbcDatabaseMetaData.java:4051)

Using JDBC, you can also use explicit transactions by following this model: Connection conn = <get-a-valid-connection-object> // set the connection in explicit transaction mode // begin a new transaction conn.setAutoCommit(false); try { conn.executeQuery(sqlQuery1); // step 1 conn.executeQuery(sqlQuery2); // step 2 conn.executeQuery(sqlQuery3); // step 3 // commits all the transactions conn.commit(); } catch (Exception e){ //cancel (roll back) all the transactions conn.rollback(); // to see what went wrong e.printStackTrace(); } Model 2 is the preferred way of doing transactions in JDBC. Instead, you can set the transaction to the autocommit mode by using this: conn.setAutoCommit(true);

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