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QueryParser parser = new QueryParser( "title", analyzer ); org.apache.lucene.search.Query luceneQuery = null; try { luceneQuery = parser.parse( words ); } catch (org.apache.lucene.queryParser.ParseException e) { throw new IllegalArgumentException( "Unable to parse search entry into a Lucene query", e ); } return luceneQuery; } //Hibernate Core APIs public List findByTitle(String words) { FullTextSession ftSession = SessionHolder.getFullTextSession(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, null ); org.hibernate.Query query = ftSession.createFullTextQuery( luceneQuery ); @SuppressWarnings("unchecked") List<Item> results = query.list(); Execute it return results; } //Java Persistence APIs public List findByTitle(String words) { FullTextEntityManager ftEntityManager = EntityManagerHolder.getFullTextEntityManager(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, null ); javax.persistence.Query query = ftEntityManager.createFullTextQuery( luceneQuery ); return query.list(); }

The money data type is used for holding numeric values up to four decimal places. If you need to use more than four decimal places, you need to look to another data type, such as decimal. This data type doesn t actually store the currency symbol to signify the monetary type, so you should not use this data type for different currencies values, although you can combine a column using this data type with a second column defining the currency type. The money data type has a range of 922,337,203,685,477.5808 through 922,337,203,685,477.5807. If you need to store the currency symbol of the currency that is held here ($ or USD for dollars, or GBP for British pounds, etc.), then you would need to store this separately, as the money data type does not hold the currency symbol. A column defined as money will hold the money to 1/10,000 of a decimal unit, which is a bit of a waste if you are storing the values as Turkish Lira.

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Normally, a query displays the data in a way that is similar to how it looks in a table, often with the column headers being the actual names of the columns within the table.

B The Lucene query describes the full-text query: Search the words in the title property. C When the target type of the query is known, it s more appropriate to use the entity-specific analyzer (see listing 5.13). D Retrieve the Session object initialized by the interceptor framework. E org.hibernate.Query is built from a Lucene query when Hibernate Core APIs are used. F javax.persistence.Query is built from a

This data type is similar to money with the exception of the range, which lies between 214,748.3648 and 214,748.3647.

Building the Lucene query is not the focus of this chapter, but listing 6.5 shows a Lucene query built using a Lucene query parser targeting the title field. Building the Hibernate Search full-text query is straightforward and consists of calling createFullTextQuery and passing the Lucene query.

exception is a runtime exception and is used for all Hibernate Search errors: mapping errors, configuration errors, engine execution errors, and usage errors. We lied to you in this section. The createFullTextQuery methods return more than the standard Query interfaces. The query objects returned actually implement a subinterface of org.hibernate.Query and javax.persistence.Query: respectively org.hibernate.search.FullTextQuery and org.hibernate.search.jpa.FullTextQuery. These interfaces are useful when accessing some specific Hibernate Search features. Don t bother with this technical detail. You ll naturally use the full-text version of this interface when the need arises. The attentive reader may have noticed that nowhere do we state which entity type the query is supposed to return. We ll do so now.

The new date data type has been built to only hold a date from January 1, AD 1 through to December 31, 9999. The format is YYYY-MM-DD. Until this version of SQL Server, it was not possible to hold the date and time, as two separate data types without having to build this yourself using .NET. Therefore, in the past, you were storing unnecessary data. This is a great advancement, as it reduces confusion and gives the correct refinement for the data that the column contains. This was an anomaly until now. In the past, you may not have been sure what the data contained within any column defined with its predecessor, datetime.

A pivoted query displays the values of one column as column headers instead. For example, you could display the sum of the sales by month so that the month names are column headers. Each row would then contain the data by year with the sum for each month displayed from left to right. This section shows how to write pivoted queries with two techniques: CASE and PIVOT.

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