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When retrieving data, SQL Server obviously has to make some decisions as to the best way to get to that data and return it to the query requesting it Even if an index has been created on a set of columns, SQL Server may determine that it is better and faster to use another method to retrieve the data through a table scan, perhaps Or maybe there are a couple of indexes that could be chosen to retrieve the same data No matter what the scenario, SQL Server has to have some basis of information on which to make sensible and accurate choices This is where statistics come in SQL Server keeps statistics on each column contained within an index These statistics are updated over a period of time and over a number of inserts or modifications.

Parentheses are also used to group expressions not only to reduce the amount of typing that you have to do but also to improve query readability. Look at the following query:

Rewrite the query in question 1 with a common table expression. WITH SOD AS ( SELECT SalesOrderID, ProductID FROM Sales.SalesOrderDetail ) SELECT SOH.SalesOrderID, SOH.OrderDate, ProductID FROM Sales.SalesOrderHeader AS SOH INNER JOIN SOD ON SOH.SalesOrderID = SOD.SalesOrderID;

contents:(+terminator titanic) actor:(hanks jones)

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The specifics of how all of this works in the background, and how SQL Server keeps the statistics up to date, is an advanced topic What you need to know is that if you alter or build an index on a table that has data in it, and you don t let SQL Server update the statistics on the table, then SQL Server could be using inaccurate information when it is trying to decide how to retrieve the data It could even mean that the index change you thought would improve performance has in fact made the performance much slower That said, it is not always prudent to let SQL Server recompute statistics automatically SQL Server will do the updates when it feels they are required This may happen at a busy time of processing; you have no control over when it will happen.

Parentheses can be utilized as needed to group terms immediately following the field name and separator : (colon). By the way, have you figured out what we re querying for with this expression This query is asking for all index entries where the contents field contains terminator AND not titanic AND the actor field contains hanks OR jones. That s enough about syntax. Hopefully these examples have demonstrated what parentheses can do for you. Be sure to read the API documentation for the few query types that we didn t cover here. Before we move on to the topic of tokenization and analyzers, let s look at the QueryParser class itself. This class translates a user-entered query and translates it into the syntax that we ve talked about up to this point.

Write a query that displays all customers along with the orders placed in 2001. Use a common table expression to write the query and include the CustomerID, SalesOrderID, and OrderDate columns in the results. WITH SOH AS ( SELECT SalesOrderID, OrderDate, CustomerID FROM Sales.SalesOrderHeader WHERE OrderDate BETWEEN '1/1/2001' AND '12/31/2001' ) SELECT C.CustomerID, SalesOrderID, OrderDate FROM Sales.Customer AS C LEFT OUTER JOIN SOH ON C.CustomerID = SOH.CustomerID;

However, if SQL Server does update the statistics, the query that caused the update to start will not be impacted, as the statistics will be updated asynchronously if the AUTO_UPDATE_STATISTICS_ASYNC option is switched on It may be more efficient to manually update the statistics via a scheduled job and keep all statistic building off This is what you quite often see within production environments that have a number of inserts and modifications to the data..

Ad hoc queries are the "user-friendly queries of Lucene. Users enter one or more terms to query an index, and they receive their answer back. From their point of view, that s all that happens. As we know, much more is involved than that. Let s take a look at the QueryParser class and the important parts of its API.

The QueryParser class is the backbone of ad hoc query generation. This is the class that converts the user-entered query terms into a Query that contains the syntax that the search engine is expecting.

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