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            https://dev.mysql.com/doc/connectors/en/connector-python-api-mysqlcursordict.html
                                Example: cnx = mysql.connector.connect(database='world') cursor = cnx.cursor(dictionary=True) cursor.execute("SELECT * FROM country WHERE Continent = 'Europe'") print("Countries in Europe:") for row in cursor: print("* ...The keys for each ...
                                            
                https://dev.mysql.com/doc/connector-odbc/en/connector-odbc-examples-programming-net-csharp.html
                                 The following sample creates a table my_odbc_net and demonstrates its use in C#. { for (int i=0; i < MyOdbcException.Errors.Count; i++) { Console.Write("ERROR #" + i + "\n" + "Message: " + MyOdbcException.Errors[i].Message + "\n" + "Native: " + ...
                                            
                https://dev.mysql.com/doc/connector-python/en/connector-python-api-mysqlcursordict.html
                                Example: cnx = mysql.connector.connect(database='world') cursor = cnx.cursor(dictionary=True) cursor.execute("SELECT * FROM country WHERE Continent = 'Europe'") print("Countries in Europe:") for row in cursor: print("* ...The keys for each ...
                                            
                https://dev.mysql.com/doc/internals/en/optimizer-partition-pruning.html
                                Analyze the interval sp1='foo' AND sp2=40 interval; find that it covers rows in some subpartition SP1. Analyze the interval sp1='foo' AND sp2=50, finding that it covers rows in some subpartition SP2. Analyze the interval sp1='foo' AND sp2=33, find ...Partitions that did not get into this set (that is, those that were pruned away) will not be accessed at all: this is how query execution is made ...
                                            
                https://dev.mysql.com/doc/internals/en/source-files-related-to-the-binary-log.html
                                rpl_record.h /rpl_record.cc: Utilities for encoding and decoding table rows into and out of the format used by row events. The mapping is used by the row logging system to identify tables. rpl_utility.h /rpl_utility.cc: Contains auxiliary classes ...
                                            
                https://dev.mysql.com/doc/relnotes/connector-python/en/news-8-0-12.html
                                 Deprecation and Removal Notes Installation Notes Functionality Added or Changed Bugs Fixed Deprecation and Removal Notes Deprecated the Row.get_string() method in favor of __getitem__. (Bug #27277937) The get_row() and get_rows() behavior differed ...(Bug #26834200, Bug #87777) To increase compliance with the X DevAPI, these Connector/Python changes were made: DatabaseObject: Deprecated: am_i_real() and ...
                                            
                https://dev.mysql.com/doc/mysql-em-plugin/en/myoem-performance-page-statements.html
                                Row Activity Graphs the type of row activity and the number of rows acted upon. Index Usage Ratio Graphs the change in rows read by indexes versus rows read by table scans.  The Statements dashboard displays information on the various types of ...
                                            
                https://dev.mysql.com/doc/x-devapi-userguide/en/synchronous-vs-asynchronous-execution.html
                                C# Code Task<RowResult> getEmployeesTask = employees.Select("name", "age") .Where("name like :name").OrderBy("name") .Bind("name", "m%").ExecuteAsync(); // Do something else while the getEmployeesTask is executing in the background // at this point ... Traditionally, many MySQL drivers used a synchronous approach when executing SQL ...
                                            
                https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-byo-embedding-tables.html
                                row *************************** id: 1 Output: { "text": "HeatWave Lakehouse is a feature of the HeatWave platform that enables query processing on data resident in Object Storage. row *************************** id: 2 Output: { "text": "HeatWave ...
                                            
                https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-content.html
                                In 2023, AI continues to evolve at an unprecedented pace, offering unparalleled opportunities for innovation and growth.\n\nOne significant development is the advancement of machine learning algorithms, enabling AI systems to learn from vast amounts ... The following sections in this topic describe how to generate new text-based content using MySQL HeatWave GenAI: Before You Begin Generate Content Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and ...