.net core ocr library

.net core ocr library

.net core ocr library

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Worse Performance no index (table scan per outer row) nonclustered noncovering (seek + partial ordered scan + lookups) clustered(seek + partial scan) nonclustered covering (seek + partial scan) nonclustered covering with included nonkey columns(seek + partial scan) Best Performance. The following query, which produces the plan shown in Figure 5-8, is an example of a query for which the optimizer chooses the loop join operator: SELECT C.CustomerID, C.CompanyName, O.OrderID, O.OrderDate FROM dbo.Customers AS C JOIN dbo.Orders AS O ON O.CustomerID = C.CustomerID WHERE C.CustomerID = N'ALFKI';

Axis, which specifies the direction of travel . In the example, the axis is child::, which specifies child nodes of the node from the previous step . Node test, which specifies the criterion for selecting nodes . In the example, element-name is the node test; it selects only nodes named element-name .

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Predicate, which further narrows down the search . In the example, there is one predicate: [@attribute-name=value], which selects only nodes that have an attribute named attribute-name with value value, such as [@orderid=10952] . Note that in the predicate example, I am referring to an axis, namely the attribute:: ; the at sign (@) is an abbreviation for the axis attribute:: . This looks a bit confusing; it might help if you think of navigation in an XML document in three directions: up (in the hierarchy), down (in the hierarchy), here (in current node), and right (in the current context level, to find attributes) . In Table 13-1, I identify the axis direction in the description column .

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TABLe 13-1

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The plan performs a seek within the clustered index on Customers to return the filtered customers. For each customer (in our case, there's only one), a loop join operator initiates a seek within the index on Orders.CustomerID. The seek is followed by a partial scan to get the row locators to all the customer's orders. For each row locator, another loop join operator (below and to the right of the first one) initiates a lookup of the data row. Note that this loop join operator does not correspond to a join in the query; rather, it is used to initiate the physical lookup operations. Try to think of it as an internal join between indexes on the Orders table. In the plan, the lookup shows up as a seek within the clustered index on Orders, because the table is clustered and the row locator is the clustering key.

Returns children of the current context node . This is the default axis; you can omit it . Direction is down . Retrieves all descendants of the context node . Direction is down . . // @ .. Retrieves the context node . Direction is here . Retrieves the context node and all its descendants . Direction is here and then down . Retrieves the specified attribute of the context node . Direction is right . Retrieves the parent of the context node . Direction is up .

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child:: descendant:: self:: descendant-or-self:: attribute:: parent::

With regard to joins and indexing, remember that joins are often based on foreign key/primary key relationships. While an index (to enforce uniqueness) is automatically created when a primary key is declared, a foreign key declaration doesn't automatically create an index. Remember that for loop joins, typically an index on the join column in the larger table is preferable. So it's your responsibility to create that index explicitly.

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A node test follows the axis you specify . A node test can be as simple as a name test . Specifying a name means that you want nodes with that name . You can also use wildcards . An asterisk (*) means that you want any principal node, with any name . A principal node is the default node kind for an axis . The principal node is an attribute if the axis is attribute:: and an element for all other axes . You can also narrow down wildcard searches . If you want all principal nodes in the namespace prefix, use prefix:* . If you want all principal nodes named local-name, no matter which namespace they belong to, use *:local-name . You can also perform node kind tests, which help you query nodes that are not principal nodes . You can use the following node type tests:

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comment() allows you to select comment nodes . node() is true for any kind of node . Do not mix this with the asterisk (*) wildcard; * means any principal node, whereas node() means any node at all . processing-instruction() allows you to retrieve a processing instruction node . text() allows you to retrieve text nodes, or nodes without tags .

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