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X DevAPI User Guide  /  Working with Result Sets  /  Working with SQL Result Sets

9.5 Working with SQL Result Sets

When you execute an SQL operation on a Session using the sql() method, an SqlResult is returned. Iterating over an SqlResult is identical to working with results from CRUD operations. The following example assumes that the users table exists.

MySQL Shell JavaScript Code

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var res = mySession.sql('SELECT name, age FROM users').execute(); var row; while (row = res.fetchOne()) { print('Name: ' + row['name'] + '\n'); print(' Age: ' + row.age + '\n'); }

MySQL Shell Python Code

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res = mySession.sql('SELECT name, age FROM users').execute() row = res.fetch_one() while row: print('Name: %s\n' % row[0]) print(' Age: %s\n' % row.age) row = res.fetch_one()

Node.js JavaScript Code

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mySession.sql('SELECT name, age FROM users') .execute() .then(res => { while (row = res.fetchOne()) { console.log('Name: ' + row[0] + '\n'); console.log(' Age: ' + row[1] + '\n'); } });

Alternatively, you can use callbacks:

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mySession.sql('SELECT name, age FROM users') .execute(function (row) { console.log('Name: ' + row[0] + '\n'); console.log(' Age: ' + row[1] + '\n'); });

C# Code

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var res = Session.SQL("SELECT name, age FROM users").Execute(); while (res.Next()) { Console.WriteLine("Name: " + res.Current["name"]); Console.WriteLine("Age: " + res.Current["age"]); }

Python Code

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# Connector/Python res = mySession.sql('SELECT name, age FROM users').execute() row = res.fetch_one() while row: print('Name: %s\n' % row[0]) print(' Age: %s\n' % row.age) row = res.fetch_one()

Java Code

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SqlResult res = mySession.sql("SELECT name, age FROM users").execute(); Row row; while ((row = res.fetchOne()) != null) { System.out.println(" Name: " + row.getString("name") + "\n"); System.out.println(" Age: " + row.getInt("age") + "\n"); }

C++ Code

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SqlResult res = mysession.sql("SELECT name, age FROM users").execute(); Row row; while ((row = res.fetchOne())) { cout << "Name: " << row[0] << endl; cout << " Age: " << row[1] << endl; }

SqlResult differs from results returned by CRUD operations in the way how result sets and data sets are represented. An SqlResult combines a result set produced by, for example, INSERT, and a data set, produced by, for example, SELECT in one. Unlike with CRUD operations, there is no distinction between the two types for SqlResult. An SqlResult instance exports methods for accessing data and to retrieving the last inserted ID or number of affected rows.

Use the hasData() method to learn whether an SqLResult is a data set or a result. The method is useful when code is to be written that has no knowledge about the origin of an SqlResult. This can be the case when writing a generic application function to print query results or when processing stored procedure results. If hasData() returns true, then the SqlResult origins from a SELECT or similar command that can return rows.

A return value of true does not indicate whether the data set contains any rows. The data set can be empty if, for example, fetchOne() returns NULL or fetchAll() returns an empty list. And if multiple result sets are returned, any of the result sets may be empty too. The following example assumes that the procedure my_proc exists.

MySQL Shell JavaScript Code

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var res = mySession.sql('CALL my_proc()').execute(); if (res.hasData()){ var row = res.fetchOne(); if (row){ print('List of rows available for fetching.'); do { print(row); } while (row = res.fetchOne()); } else{ print('Empty list of rows.'); } } else { print('No row result.'); }

MySQL Shell Python Code

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res = mySession.sql('CALL my_proc()').execute() if res.has_data(): row = res.fetch_one() if row: print('List of rows available for fetching.') while row: print(row) row = res.fetch_one() else: print('Empty list of rows.') else: print('No row result.')

Node.js JavaScript Code

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mySession.sql('CALL my_proc()') .execute() .then(function (res) { if (!res.hasData()) { return console.log('No row result.'); } var row = res.fetchOne(); if (!row) { return console.log('Empty list of rows.'); } console.log('List of rows available for fetching.'); do { console.log(row); } while (row = res.fetchOne()); })

C# Code

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var res = Session.SQL("CALL my_proc()").Execute(); if (res.HasData) { var row = res.FetchOne(); if (row != null) { Console.WriteLine("List of rows available for fetching."); do { PrintResult(row); } while ((row = res.FetchOne()) != null); } else { Console.WriteLine("Empty list of rows."); } } else { Console.WriteLine("No row result."); }

Python Code

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# Connector/Python res = mySession.sql('CALL my_proc()').execute() if res.has_data(): row = res.fetch_one() if row: print('List of rows available for fetching.') while row: print(row) row = res.fetch_one() else: print('Empty list of rows.') else: print('No row result.')

Java Code

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SqlResult res = mySession.sql("CALL my_proc()").execute(); if (res.hasData()){ Row row = res.fetchOne(); if (row != null){ System.out.println("List of rows available for fetching."); do { for (int c = 0; c < res.getColumnCount(); c++) { System.out.println(row.getString(c)); } } while ((row = res.fetchOne()) != null); } else{ System.out.println("Empty list of rows."); } } else { System.out.println("No row result."); }

C++ Code

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SqlResult res = mysession.sql("CALL my_proc()").execute(); if (res.hasData()) { Row row = res.fetchOne(); if (row) { cout << "List of rows available for fetching." << endl; do { cout << "next row: "; for (unsigned i=0 ; i < row.colCount(); ++i) cout << row[i] << ", "; cout << endl; } while ((row = res.fetchOne())); } else { cout << "Empty list of rows." << endl; } } else { cout << "No row result." << endl; }

It is an error to call either fetchOne() or fetchAll() when hasData() indicates that an SqlResult is not a data set.

MySQL Shell JavaScript Code

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function print_result(res) { if (res.hasData()) { // SELECT var columns = res.getColumns(); var record = res.fetchOne(); while (record){ for (index in columns){ print (columns[index].getColumnName() + ": " + record[index] + "\n"); } // Get the next record record = res.fetchOne(); } } else { // INSERT, UPDATE, DELETE, ... print('Rows affected: ' + res.getAffectedItemsCount()); } } print_result(mySession.sql('DELETE FROM users WHERE age < 30').execute()); print_result(mySession.sql('SELECT * FROM users WHERE age = 40').execute());

MySQL Shell Python Code

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def print_result(res): if res.has_data(): # SELECT columns = res.get_columns() record = res.fetch_one() while record: index = 0 for column in columns: print("%s: %s \n" % (column.get_column_name(), record[index])) index = index + 1 # Get the next record record = res.fetch_one() else: #INSERT, UPDATE, DELETE, ... print('Rows affected: %s' % res.get_affected_items_count()) print_result(mySession.sql('DELETE FROM users WHERE age < 30').execute()) print_result(mySession.sql('SELECT * FROM users WHERE age = 40').execute())

Node.js JavaScript Code

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function print_result(res) { if (res.hasData()) { // SELECT var columns = res.getColumns(); var record = res.fetchOne(); while (record) { for (index in columns) { console.log(columns[index].getColumnName() + ": " + record[index]); } // Get the next record record = res.fetchOne(); } } else { // INSERT, UPDATE, DELETE, ... console.log('Rows affected: ' + res.getAffectedItemsCount()); } } mySession.sql(`DELETE FROM users WHERE age < 30`) .execute() .then(function (res) { print_result(res); }); mySession.sql(`SELECT * FROM users WHERE age = 40`) .execute() .then(function (res) { print_result(res); });

C# Code

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private void print_result(SqlResult res) { if (res.HasData) { // SELECT } else { // INSERT, UPDATE, DELETE, ... Console.WriteLine("Rows affected: " + res.RecordsAffected); } } print_result(Session.SQL("DELETE FROM users WHERE age < 30").Execute()); print_result(Session.SQL("SELECT COUNT(*) AS forty FROM users WHERE age = 40").Execute());

Python Code

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# Connector/Python def print_result(res): if res.has_data(): # SELECT columns = res.get_columns() record = res.fetch_one() while record: index = 0 for column in columns: print("%s: %s \n" % (column.get_column_name(), record[index])) index = index + 1 # Get the next record record = res.fetch_one() else: #INSERT, UPDATE, DELETE, ... print('Rows affected: %s' % res.get_affected_items_count()) print_result(mySession.sql('DELETE FROM users WHERE age < 30').execute()) print_result(mySession.sql('SELECT * FROM users WHERE age = 40').execute())

Java Code

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private void print_result(SqlResult res) { if (res.hasData()) { // SELECT Row row; while ((row = res.fetchOne()) != null){ for (int c = 0; c < res.getColumnCount(); c++) { System.out.println(row.getString(c)); } } } else { // INSERT, UPDATE, DELETE, ... System.out.println("Rows affected: " + res.getAffectedItemsCount()); } } print_result(mySession.sql("DELETE FROM users WHERE age < 30").execute()); print_result(mySession.sql("SELECT COUNT(*) AS forty FROM users WHERE age = 40").execute());

C++ Code

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void print_result(SqlResult &&_res) { // Note: We need to store the result somewhere to be able to process it. SqlResult res(std::move(_res)); if (res.hasData()) { // SELECT const Columns &columns = res.getColumns(); Row record = res.fetchOne(); while (record) { for (unsigned index=0; index < res.getColumnCount(); ++index) { cout << columns[index].getColumnName() << ": " << record[index] << endl; } // Get the next record record = res.fetchOne(); } } else { // INSERT, UPDATE, DELETE, ... // Note: getAffectedItemsCount() not yet implemented in Connector/C++. cout << "No rows in the result" << endl; } } print_result(mysession.sql("DELETE FROM users WHERE age < 30").execute()); print_result(mysession.sql("SELECT * FROM users WHERE age = 40").execute());

Calling a stored procedure might result in having to deal with multiple result sets as part of a single execution. As a result for the query execution an SqlResult object is returned, which encapsulates the first result set. After processing the result set you can call nextResult() to move forward to the next result, if there is any. Once you advanced to the next result set, it replaces the previously loaded result which then becomes unavailable.

MySQL Shell JavaScript Code

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function print_result(res) { if (res.hasData()) { // SELECT var columns = res.getColumns(); var record = res.fetchOne(); while (record){ for (index in columns){ print (columns[index].getColumnName() + ": " + record[index] + "\n"); } // Get the next record record = res.fetchOne(); } } else { // INSERT, UPDATE, DELETE, ... print('Rows affected: ' + res.getAffectedItemsCount()); } } var res = mySession.sql('CALL my_proc()').execute(); // Prints each returned result var more = true; while (more){ print_result(res); more = res.nextResult(); }

MySQL Shell Python Code

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def print_result(res): if res.has_data(): # SELECT columns = res.get_columns() record = res.fetch_one() while record: index = 0 for column in columns: print("%s: %s \n" % (column.get_column_name(), record[index])) index = index + 1 # Get the next record record = res.fetch_one() else: #INSERT, UPDATE, DELETE, ... print('Rows affected: %s' % res.get_affected_items_count()) res = mySession.sql('CALL my_proc()').execute() # Prints each returned result more = True while more: print_result(res) more = res.next_result()

Node.js JavaScript Code

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function print_result(res) { if (res.hasData()) { // SELECT var columns = res.getColumns(); var record = res.fetchOne(); while (record) { for (index in columns) { console.log(columns[index].getColumnName() + ": " + record[index]); } // Get the next record record = res.fetchOne(); } } else { // INSERT, UPDATE, DELETE, ... console.log('Rows affected: ' + res.getAffectedItemsCount()); } } mySession.sql('CALL my_proc()') .execute() .then(function (res) { // Prints each returned result var more = true; while (more) { print_result(res); more = res.nextResult(); } })

C# Code

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var res = Session.SQL("CALL my_proc()").Execute(); if (res.HasData) { do { Console.WriteLine("New resultset"); while (res.Next()) { Console.WriteLine(res.Current); } } while (res.NextResult()); }

Python Code

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# Connector/Python def print_result(res): if res.has_data(): # SELECT columns = res.get_columns() record = res.fetch_one() while record: index = 0 for column in columns: print("%s: %s \n" % (column.get_column_name(), record[index])) index = index + 1 # Get the next record record = res.fetch_one() else: #INSERT, UPDATE, DELETE, ... print('Rows affected: %s' % res.get_affected_items_count()) res = mySession.sql('CALL my_proc()').execute() # Prints each returned result more = True while more: print_result(res) more = res.next_result()

Java Code

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SqlResult res = mySession.sql("CALL my_proc()").execute();

C++ Code

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SqlResult res = mysession.sql("CALL my_proc()").execute(); while (true) { if (res.hasData()) { cout << "List of rows in the resultset." << endl; for (Row row; (row = res.fetchOne());) { cout << "next row: "; for (unsigned i = 0; i < row.colCount(); ++i) cout << row[i] << ", "; cout << endl; } } else { cout << "No rows in the resultset." << endl; } if (!res.nextResult()) break; cout << "Next resultset." << endl; }

When using Node.js, individual rows can be returned immediately using a callback, which has to be provided to the execute() method. To identify individual result sets you can provide a second callback, which is called for meta data that marks the beginning of a result set.

Node.js JavaScript Code

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var resultcount = 0; var res = session .sql('CALL my_proc()') .execute( function (row) { console.log(row); }, function (meta) { console.log('Begin of result set number ', resultCount++); });

The number of result sets is not known immediately after the query execution. Query results can be streamed to the client or buffered at the client. In the streaming or partial buffering mode a client cannot tell whether a query emits more than one result set.