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Let s say you have a bunch of records to update or create in one shot for a module. Instead of having to do several set_entry calls in a row, you can save yourself the extra network time and use the set_entries method (notice that it s plural) to do several changes in one shot. The biggest difference is that now the 'name_value_list' parameter becomes 'name_value_lists' (again, plural). Listing 4-17 has all the code details. Listing 4-17. Creating Multiple Records with set_entries

"abc" _

To create a relational database in Excel, do the following: 1. Start Excel. 2. Using one worksheet per data table, enter data records into each table. 3. Make sure that each worksheet contains a primary-key data field. 4. Make sure that for each worksheet, each data record in that worksheet has a primarykey data value in the primary-key data field that is unique to that worksheet. 5. Make sure that for each worksheet with data records related to the primary-key data table worksheet, the related worksheet contains a foreign-key field. 6. Make sure that each data record in the related worksheet contains a primary-key data value in the foreign-key data field, with that primary-key data value taken from the related record in the primary-key data table worksheet. 7. Save the file.

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Matches the end of the stream A predefined named regular expression (named earlier in the file using a let binding) Zero or one occurrences of pattern One of more occurrences of pattern Zero or more occurrences of pattern Either pattern1 or pattern Concatenation; pattern1 followed by pattern2

Listing 16-3 shows a lexer that constructs a list of tokens that then is printed. It can recognize integers, floats, identifiers, and the symbols ^, *, -, and +. Any other character causes a runtime exception. Listing 16-3. SimpleTokensLex.fsl: Lexing Simple Tokens: Integers, Floats, and Identifiers { module SimpleTokensLex open System type token = | INT | FLOAT | ID | STRING | PLUS | | EOF of int of float of string of string MINUS | TIMES | HAT

// Create the SOAP client instance $soapclient = new nusoapclient('http://sugar_root_url/service/v2/soap.php wsdl', true); // Login to the server $result = $soapclient->call('login',array('user_auth'=>array('user_name'=>$user_name, 'password'=>md5($user_password), 'version'=>'.01'), 'application_name'=>'SoapTest'));

Foreign-key data tables should always also contain a primary-key data field. For example, a customer data table could have a related sales transactions data table, which in turn could have a related sales products data table. In this case, the sales transactions data table would need a foreign-key data field to cross-reference unique customers to sales transactions, and the sales transactions data table would also need a primary-key data field to relate unique sales transactions to unique sales products. (Of course, the customer data table would also need a primary-key data field to uniquely identify each customer, and the sales products data table would also need a primary-key data field to uniquely identify each sales product.)

let lexeme = Lexing.LexBuffer<_>.LexemeString } let let let let let let num intNum floatNum ident whitespace newline = = = = = = ['0'-'9']+ '-' num '-' num ('.' num) (['e' 'E'] num) ['a'-'z']+ ' ' | '\t' '\n' | '\r' '\n'

rule token = parse | intNum { INT (Convert.ToInt32 (lexeme lexbuf)) }

$session = $result['id']; // Specify the list of records to add $name_value_lists[] = array(array('name'=>'last_name' , 'value'=>"Mertic"), array('name'=>'first_name' , 'value'=>'John')); $name_value_lists[] = array(array('name'=>'last_name' , 'value'=>"Mertic"), array('name'=>'first_name' , 'value'=>'Dominic')); $name_value_lists[] = array(array('name'=>'last_name' , 'value'=>"Mertic"), array('name'=>'first_name' , 'value'=>'Mallory')); // Now add all the new records $result = $soapclient->call('set_entries',array('session'=>$session,'module_name'=> 'Contacts', 'name_value_lists'=>$name_value_lists)); $ids = $result['ids'];

floatNum ident '+' '-' '*' '^' whitespace newline eof _

In this exercise, you will examine a relational database in Excel. You will then use Access to import the relational data, examine the data in Access, define data table relationships, and examine related data: 1. Start Excel. 2. Click Office Button Open (for Excel 2007) or click File Open (for Excel 2003).

{ { { { { { { { { {

FLOAT (Convert.ToDouble (lexeme lexbuf)) } ID (lexeme lexbuf) } PLUS } MINUS } TIMES } HAT } token lexbuf } token lexbuf } EOF } failwithf "unrecognized input: '%s'" (lexeme lexbuf) }

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