Struct odbc_api::CursorImpl

pub struct CursorImpl<Stmt: AsStatementRef> { /* private fields */ }

Cursors are used to process and iterate the result sets returned by executing queries. Created by either a prepared query or direct execution. Usually utilized through the crate::Cursor trait.

Implementations

impl<S> CursorImpl<S>where S: AsStatementRef,

pub unsafe fn new(statement: S) -> Self

Users of this library are encouraged not to call this constructor directly but rather invoke crate::Connection::execute or crate::Prepared::execute to get a cursor and utilize it using the crate::Cursor trait. This method is pubilc so users with an understanding of the raw ODBC C-API have a way to create a cursor, after they left the safety rails of the Rust type System, in order to implement a use case not covered yet, by the safe abstractions within this crate.

Safety

statement must be in Cursor state, for the invariants of this type to hold.

pub fn into_stmt(self) -> S

Deconstructs the CursorImpl without calling drop. This is a way to get to the underlying statement, while preventing a call to close cursor.

Trait Implementations

impl<S> AsStatementRef for CursorImpl<S>where S: AsStatementRef,

fn as_stmt_ref(&mut self) -> StatementRef<'_>

Get an exclusive reference to the underlying statement handle. This method is used to implement other more higher level methods on top of it. It is not intended to be called by users of this crate directly, yet it may serve as an escape hatch for low level usecases.

impl<S> Cursor for CursorImpl<S>where S: AsStatementRef,

fn bind_buffer<B>( self, row_set_buffer: B ) -> Result<BlockCursor<Self, B>, Error>where B: RowSetBuffer,

Binds this cursor to a buffer holding a row set.

fn more_results(self) -> Result<Option<Self>, Error>where Self: Sized,

For some datasources it is possible to create more than one result set at once via a call to execute. E.g. by calling a stored procedure or executing multiple SQL statements at once. This method consumes the current cursor and creates a new one representing the next result set should it exist.

fn next_row(&mut self) -> Result<Option<CursorRow<'_>>, Error>

Advances the cursor to the next row in the result set. This is Slow. Bind buffers instead, for good performance.

impl<S> Drop for CursorImpl<S>where S: AsStatementRef,

fn drop(&mut self)

Executes the destructor for this type.

impl<S> ResultSetMetadata for CursorImpl<S>where S: AsStatementRef,

fn describe_col( &mut self, column_number: u16, column_description: &mut ColumnDescription ) -> Result<(), Error>

Fetch a column description using the column index.

fn num_result_cols(&mut self) -> Result<i16, Error>

Number of columns in result set. Can also be used to see wether executing a prepared Statement (crate::Prepared) would yield a result set, as this would return 0 if it does not.

fn column_is_unsigned(&mut self, column_number: u16) -> Result<bool, Error>

true if a given column in a result set is unsigned or not a numeric type, false otherwise.

fn col_octet_length(&mut self, column_number: u16) -> Result<isize, Error>

Returns the size in bytes of the columns. For variable sized types the maximum size is returned, excluding a terminating zero.

fn col_display_size(&mut self, column_number: u16) -> Result<isize, Error>

Maximum number of characters required to display data from the column.

fn col_precision(&mut self, column_number: u16) -> Result<isize, Error>

Precision of the column.

fn col_scale(&mut self, column_number: u16) -> Result<isize, Error>

The applicable scale for a numeric data type. For DECIMAL and NUMERIC data types, this is the defined scale. It is undefined for all other data types.

fn col_name(&mut self, column_number: u16) -> Result<String, Error>

The column alias, if it applies. If the column alias does not apply, the column name is returned. If there is no column name or a column alias, an empty string is returned.

fn column_names(&mut self) -> Result<ColumnNamesIt<'_, Self>, Error>

Use this if you want to iterate over all column names and allocate a String for each one.

fn col_data_type(&mut self, column_number: u16) -> Result<DataType, Error>

Data type of the specified column.