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Now that you know a little about HTML5 <video>, it s time that you use that knowledge to insert a video in an InfoWindow. This time, you will not insert the HTML as a string but instead use the other way of adding content by inserting a reference to an HTML node. You will create the HTML nodes with JavaScript and inject them as content in the InfoWindow. Like in the previous example, the magic will happen inside the event handler for the marker s click event. You already have some code in place: google.maps.event.addListener(marker, 'click', function() { // Check to see if an InfoWindow already exists if (!infoWindow) { infoWindow = new google.maps.InfoWindow(); } // Here s where the magic will happen }); First you re going to create the HTML node for <video>. This is done by using the native DOM method document.createElement() (see Table 7-2). Table 7-2. Definition of document.createElement()

Despite the differences in structure and syntax, every query is translatable to SQL In order to execute a query, the query engine first builds an optimal SQL representation of the JP QL query The resulting SQL query is what actually gets executed on the database In this simple example, the SQL might look something like this, depending upon the mapping metadata for the Employee entity: SELECT id, name, salary, manager_id, dept_id, address_id FROM emp The SQL statement must read in all the mapped columns required to create the entity instance, including foreign key columns Even if the entity is cached in memory, the query engine will still typically read all required data to ensure that the cached version is up to date.

Java bytecode cannot store such data directly. Refer to the Decreasing the Size of JAR Files section of this chapter to learn more about the alternatives.

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Note that, if the relationships between the Employee and the Department or Address entities had required eager loading, the SQL statement would either be extended to retrieve the extra data or multiple statements would have been batched together in order to completely construct the Employee entity Every vendor will provide some method for displaying the SQL it generates from translating JP QL For performance tuning in particular, understanding how your vendor approaches SQL generation can help you write more efficient queries Now that we have looked at a simple query and covered the basic terminology, the following sections will move through each of the clauses of the select query, explaining the syntax and features available..

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Precalculating Data When you do performance-intensive calculations, you should do them only once whenever possible Typical examples include the calculation of random data with RandomnextInt() or calls to trigonometric functions such as Mathsin() Simple calculations that involve only constants are already resolved by the compiler, so you shouldn t waste space using extra fields in class such as defaultAnchor = GraphicsTOP | GraphicsLEFT Using Optimized Arithmetic Operations For specific arithmetic operations, you can use much faster bit-shifting operators Whenever possible, use multiplication instead of division Last but not least, integer operations are faster than float operations Divisions by a power of two can be done faster using the shift right operator >> Instead of dividing a number x by 2y, you can just use x >> y, so x >> 3 yields the same result as x / 8.

The SELECT clause of a query can take several forms, including simple and complex path expressions, scalar expressions, constructor expressions, aggregate functions, and sequences of these expression types. The following sections introduce path expressions and discuss the different styles of SELECT clauses and how they determine the result type of the query. We will defer discussion of scalar expressions until exploring conditional expressions in the WHERE clause. They are fully described in the section called Scalar Expressions. Aggregate functions are detailed later in the chapter in the section called Aggregate Queries.

Path expressions are the building blocks of queries. They are used to navigate out from an entity, either across a relationship to another entity (or collection of entities) or to one of the persistent properties of an entity. Navigation that results in one of the persistent state fields (either field or property) of an entity is referred to as a state field path. Navigation that leads to a single entity is referred to as a single-valued association path, whereas navigation to a collection of entities is referred to as a collection-valued association path.

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