This topic describes how to generate a Java client using JAX-WS, and provides code samples for using the generated client.
The following code snippet is an example of how to use the JAX-WS generated Java client.
import java.util.Calendar; import java.util.GregorianCalendar; import com.bea.analytics.analyticsqueryservice.*; . . . AnalyticsQueryService service = new AnalyticsQueryService(); AnalyticsQueryServicePortType port = service.getAnalyticsQueryServicePort(); . . . //show the top 10 pages by page view, grouped by day, since 1/1/05, ignoring a page //set the event type to be queried QueryParameters param = new QueryParameters(); param.setEventName("{http://www.bea.com/analytics/ali}pageViews"); //define what information to return, in this case page view count and page id View view = new View(); view.setProperty("*"); view.setAggregate(1); // aggregate count param.getViews().add(view); View idView = new View(); idView.setDimension("page"); idView.setProperty("id"); param.getViews().add(idView); //filter the results //in this case ignore a specific page Filter filter = new Filter(); filter.setDimension("page"); filter.setProperty("id"); filter.setOperator(2); // operator not equals filter.getValues().add(new Integer(518)); param.getFilters().add(filter); //in this case ignore pageviews before a certain date Filter timefilter = new Filter(); timefilter.setDimension("time"); timefilter.setOperator(3); // operator greater than Calendar date = new GregorianCalendar(); date.set(2005, 1, 1); timefilter.getValues().add(date.getTime()); param.getFilters().add(timefilter); //only show the top 10 pages Filter rankingFilter = new Filter(); rankingFilter.setDimension("page"); rankingFilter.setRanking(1); // ranking top rankingFilter.setRankingCount(10); param.getFilters().add(rankingFilter); //now, group the results GroupBy group = new GroupBy(); group.setDimension("page"); group.setProperty("name"); //note: unique "page name" = name + id param.getGroups().add(group); //note: auto adds name to view GroupBy group1 = new GroupBy(); group1.setDimension("time"); group1.setTimeGrouping(3); // group by day param.getGroups().add(group1); QueryResults result = port.executeResultSetQuery(param); printOutput(result);