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Query optimization approaches that integrate heuristic selection and the generation of alternative access plans have been adopted in several systems The approach used in System R and in its successor, the Starburst project, is a hierarchical procedure based on the nested-block concept of SQL The cost-based optimization techniques described here are used for each block of the query separately The heuristic approach in some versions of Oracle works roughly this way: For an n-way join, it considers n evaluation plans Each plan uses a left-deep join order, starting with a different one of the n relations The heuristic constructs the join order for each of the n evaluation plans by repeatedly selecting the best relation to join next, on the basis of a ranking of the available access paths Either nested-loop or sort merge join is chosen for each of the joins, depending on the available access paths Finally, the heuristic chooses one of the n evaluation plans in a heuristic manner, based on minimizing the number of nested-loop joins that do not have an index available on the inner relation, and on the number of sort merge joins The intricacies of SQL introduce a good deal of complexity into query optimizers In particular, it is hard to translate nested subqueries in SQL into relational algebra We brie y outline how to handle nested subqueries in Section 1445 For compound SQL queries (using the , , or operation), the optimizer processes each component separately, and combines the evaluation plans to form the overall evaluation plan Even with the use of heuristics, cost-based query optimization imposes a substantial overhead on query processing However, the added cost of cost-based query optimization is usually more than offset by the saving at query-execution time, which is dominated by slow disk accesses The difference in execution time between a good plan and a bad one may be huge, making query optimization essential The achieved saving is magni ed in those applications that run on a regular basis, where the query can be optimized once, and the selected query plan can be used on each run Therefore, most commercial systems include relatively sophisticated optimizers The bibliographical notes give references to descriptions of the query optimizers of actual database systems. word 2013 mail merge qr code QR Code Generator - TextFixer
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Generating and inserting high quality QR Code barcodes in MS Word ... QR Code barcodes in Microsoft Office Word documents without any barcode fonts and ... turn word document into qr code QR Code Barcode Generator Plug-in for MS Word - Generate QR ...
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Generate high quality QR Code barcode images in Word documents with this add-in. Entirely compatible with Microsoft Office Word 2019, 2016, 2013, 2010 and 2007 versions; It is ... Generate QR Code Barcode in Microsoft Word Document. parameters and return either a single value or a set of values (possibly an empty set) The parameters are the variables from outer level query that are used in the nested subquery (these variables are called correlation variables) For instance, suppose we have the following query select customer-name from borrower where exists (select * from depositor where depositorcustomer-name = borrowercustomer-name) Conceptually, the subquery can be viewed as a function that takes a parameter (here, borrowercustomer-name) and returns the set of all depositors with the same name SQL evaluates the overall query (conceptually) by computing the Cartesian product of the relations in the outer from clause and then testing the predicates in the where clause for each tuple in the product In the preceding example, the predicate tests if the result of the subquery evaluation is empty This technique for evaluating a query with a nested subquery is called correlated evaluation Correlated evaluation is not very ef cient, since the subquery is separately evaluated for each tuple in the outer level query A large number of random disk I/O operations may result SQL optimizers therefore attempt to transform nested subqueries into joins, where possible Ef cient join algorithms help avoid expensive random I/O Where the transformation is not possible, the optimizer keeps the subqueries as separate expressions, optimizes them separately, and then evaluates them by correlated evaluation As an example of transforming a nested subquery into a join, the query in the preceding example can be rewritten as select customer-name from borrower, depositor where depositorcustomer-name = borrowercustomer-name (To properly re ect SQL semantics, the number of duplicate derivations should not change because of the rewriting; the rewritten query can be modi ed to ensure this property, as we will see shortly) In the example, the nested subquery was very simple In general, it may not be possible to directly move the nested subquery relations into the from clause of the outer query Instead, we create a temporary relation that contains the results of the nested query without the selections using correlation variables from the outer query, and join the temporary table with the outer level query For instance, a query of the form. The McGraw Hill Companies, 2001 14 select from L1 where P1 and exists (select * from L2 where P2 ) where P2 is a conjunction of simpler predicates, can be rewritten as create table t1 as select distinct V from L2 1 where P2 select from L1 , t1 2 where P1 and P2 This part of the audio toolbox records a narration track using the microphone that you have attached to your PC To record a voice-over narration, follow these steps: turn word document into qr code QR - und Barcodes in Word 2013/16 mit Bordmitteln erzeugen - ohne ...
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Generate QR Code barcode images in Microsoft Word documents in accordance with steps below. Click "Add-Ins" -> "Insert Barcode " in a new Word document. A barcode setting panel pops up on the right side of the document. Select " QRCode " in the "SYMBOLOGY" pull-down menu. Input valid data in the text box of "VALID DATA".
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