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rowcount description arraysize connection Cannot delete the noscan attribute SQLSetStmtAttr(SQL_ATTR_NOSCAN) noscan NOSCAN statement attr executemany setinputsizes setoutputsize fetchone fetchall fetchmany nextset tables columns statistics rowIdColumns rowVerColumns primaryKeys foreignKeys getTypeInfo procedures procedureColumns skip pyodbc.Cursor SQLSetStmtAttr(SQL_ATTR_QUERY_TIMEOUT) cursor.new cnxn=%p hdbc=%d cursor=%p hstmt=%d
datetime.datetime_CAPI 0A000 40002 22 23 24 25 42 HYT00 HYT01 HY000 (Os) The driver did not supply an error! In RaiseError(%s)!
[%s] %s (%ld) (%s) ; [%s] %s (%ld) s r c \ g e t d a t a . c p p P y B y t e A r r a y _ C h e c k ( b u f f e r O w n e r ) SQLGetData (O) O ODBC SQL type %d is not yet supported. column-index=%zd type=%d HY106 SQL_UNKNOWN_TYPE SQL_CHAR SQL_VARCHAR SQL_LONGVARCHAR SQL_NUMERIC SQL_DECIMAL SQL_INTEGER SQL_SMALLINT SQL_FLOAT SQL_REAL SQL_DOUBLE SQL_DATETIME SQL_WCHAR SQL_WVARCHAR SQL_WLONGVARCHAR SQL_TYPE_DATE SQL_TYPE_TIME SQL_TYPE_TIMESTAMP SQL_SS_TIME2 SQL_SS_XML SQL_BINARY SQL_VARBINARY SQL_LONGVARBINARY unknown SQL_C_CHAR SQL_C_WCHAR SQL_C_LONG SQL_C_SHORT SQL_C_FLOAT SQL_C_DOUBLE SQL_C_NUMERIC SQL_C_DEFAULT SQL_C_DATE SQL_C_TIME SQL_C_TIMESTAMP SQL_C_TYPE_DATE SQL_C_TYPE_TIME SQL_C_TYPE_TIMESTAMP SQL_C_INTERVAL_YEAR SQL_C_INTERVAL_MONTH SQL_C_INTERVAL_DAY SQL_C_INTERVAL_HOUR SQL_C_INTERVAL_MINUTE SQL_C_INTERVAL_SECOND SQL_C_INTERVAL_YEAR_TO_MONTH SQL_C_INTERVAL_DAY_TO_HOUR SQL_C_INTERVAL_DAY_TO_MINUTE SQL_C_INTERVAL_DAY_TO_SECOND SQL_C_INTERVAL_HOUR_TO_MINUTE SQL_C_INTERVAL_HOUR_TO_SECOND SQL_C_INTERVAL_MINUTE_TO_SECOND SQL_C_BINARY SQL_C_BIT SQL_C_SBIGINT SQL_C_UBIGINT SQL_C_TINYINT SQL_C_SLONG SQL_C_SSHORT SQL_C_STINYINT SQL_C_ULONG SQL_C_USHORT SQL_C_UTINYINT SQL_C_GUID as_tuple Invalid parameter type. param-index=%zd param-type=%s HY105 BIND: param=%d ValueType=%d (%s) ParameterType=%d (%s) ColumnSize=%d DecimalDigits=%d BufferLength=%d *pcb=%d
SQLBindParameter SQLPrepare SQLNumParams SQLPrepare(%s)
The SQL contains %d parameter markers, but %d parameters were supplied pyodbc.NullParam Error pyodbc.Error Exception that is the base class of all other error exceptions. You can use
this to catch all errors with one single 'except' statement. Warning pyodbc.Warning Exception raised for important warnings like data truncations while inserting,
etc. InterfaceError pyodbc.InterfaceError Exception raised for errors that are related to the database interface rather
than the database itself. DatabaseError pyodbc.DatabaseError Exception raised for errors that are related to the database. DataError pyodbc.DataError Exception raised for errors that are due to problems with the processed data
like division by zero, numeric value out of range, etc. OperationalError pyodbc.OperationalError Exception raised for errors that are related to the database's operation and
not necessarily under the control of the programmer, e.g. an unexpected
disconnect occurs, the data source name is not found, a transaction could not
be processed, a memory allocation error occurred during processing, etc. IntegrityError pyodbc.IntegrityError Exception raised when the relational integrity of the database is affected,
e.g. a foreign key check fails. InternalError pyodbc.InternalError Exception raised when the database encounters an internal error, e.g. the
cursor is not valid anymore, the transaction is out of sync, etc. ProgrammingError pyodbc.ProgrammingError Exception raised for programming errors, e.g. table not found or already
exists, syntax error in the SQL statement, wrong number of parameters
specified, etc. NotSupportedError pyodbc.NotSupportedError Exception raised in case a method or database API was used which is not
supported by the database, e.g. requesting a .rollback() on a connection that
does not support transaction or has transactions turned off. locale localeconv decimal_point datetime decimal Unable to import decimal Decimal Unable to import decimal.Decimal. pooling Unable to set SQL_ATTR_CONNECTION_POOLING attribute. Can't initialize module pyodbc. SQLAllocEnv failed. Unable to set SQL_ATTR_ODBC_VERSION attribute. user uid password pwd host server function takes at most 1 non-keyword argument argument 1 must be a string or unicode object Dictionary items passed to connect must be strings ansi unicode_results readonly no connection information was passed SQLDataSources TimeFromTicks requires a number. SOFTWARE\ODBC\ODBCINST.INI\ODBC Drivers Unable to access the driver list in the registry. error=%ld connect TimeFromTicks DateFromTicks TimestampFromTicks dataSources drivers SQL_BIT SQL_TINYINT SQL_BIGINT SQL_INTERVAL_MONTH SQL_INTERVAL_YEAR SQL_INTERVAL_YEAR_TO_MONTH SQL_INTERVAL_DAY SQL_INTERVAL_HOUR SQL_INTERVAL_MINUTE SQL_INTERVAL_SECOND SQL_INTERVAL_DAY_TO_HOUR SQL_INTERVAL_DAY_TO_MINUTE SQL_INTERVAL_DAY_TO_SECOND SQL_INTERVAL_HOUR_TO_MINUTE SQL_INTERVAL_HOUR_TO_SECOND SQL_INTERVAL_MINUTE_TO_SECOND SQL_GUID SQL_NULLABLE SQL_NO_NULLS SQL_NULLABLE_UNKNOWN SQL_SCOPE_CURROW SQL_SCOPE_TRANSACTION SQL_SCOPE_SESSION SQL_PC_UNKNOWN SQL_PC_NOT_PSEUDO SQL_PC_PSEUDO SQL_ACCESSIBLE_PROCEDURES SQL_ACCESSIBLE_TABLES SQL_ACTIVE_ENVIRONMENTS SQL_AGGREGATE_FUNCTIONS SQL_ALTER_DOMAIN SQL_ALTER_TABLE SQL_ASYNC_MODE SQL_BATCH_ROW_COUNT SQL_BATCH_SUPPORT SQL_BOOKMARK_PERSISTENCE SQL_CATALOG_LOCATION SQL_CATALOG_NAME SQL_CATALOG_NAME_SEPARATOR SQL_CATALOG_TERM SQL_CATALOG_USAGE SQL_COLLATION_SEQ SQL_COLUMN_ALIAS SQL_CONCAT_NULL_BEHAVIOR SQL_CONVERT_FUNCTIONS SQL_CONVERT_VARCHAR SQL_CORRELATION_NAME SQL_CREATE_ASSERTION SQL_CREATE_CHARACTER_SET SQL_CREATE_COLLATION SQL_CREATE_DOMAIN SQL_CREATE_SCHEMA SQL_CREATE_TABLE SQL_CREATE_TRANSLATION SQL_CREATE_VIEW SQL_CURSOR_COMMIT_BEHAVIOR SQL_CURSOR_ROLLBACK_BEHAVIOR SQL_DATABASE_NAME SQL_DATA_SOURCE_NAME SQL_DATA_SOURCE_READ_ONLY SQL_DATETIME_LITERALS SQL_DBMS_NAME SQL_DBMS_VER SQL_DDL_INDEX SQL_DEFAULT_TXN_ISOLATION SQL_DESCRIBE_PARAMETER SQL_DM_VER SQL_DRIVER_HDESC SQL_DRIVER_HENV SQL_DRIVER_HLIB SQL_DRIVER_HSTMT SQL_DRIVER_NAME SQL_DRIVER_ODBC_VER SQL_DRIVER_VER SQL_DROP_ASSERTION SQL_DROP_CHARACTER_SET SQL_DROP_COLLATION SQL_DROP_DOMAIN SQL_DROP_SCHEMA SQL_DROP_TABLE SQL_DROP_TRANSLATION SQL_DROP_VIEW SQL_DYNAMIC_CURSOR_ATTRIBUTES1 SQL_DYNAMIC_CURSOR_ATTRIBUTES2 SQL_EXPRESSIONS_IN_ORDERBY SQL_FILE_USAGE SQL_FORWARD_ONLY_CURSOR_ATTRIBUTES1 SQL_FORWARD_ONLY_CURSOR_ATTRIBUTES2 SQL_GETDATA_EXTENSIONS SQL_GROUP_BY SQL_IDENTIFIER_CASE SQL_IDENTIFIER_QUOTE_CHAR SQL_INDEX_KEYWORDS SQL_INFO_SCHEMA_VIEWS SQL_INSERT_STATEMENT SQL_INTEGRITY SQL_KEYSET_CURSOR_ATTRIBUTES1 SQL_KEYSET_CURSOR_ATTRIBUTES2 SQL_KEYWORDS SQL_LIKE_ESCAPE_CLAUSE SQL_MAX_ASYNC_CONCURRENT_STATEMENTS SQL_MAX_BINARY_LITERAL_LEN SQL_MAX_CATALOG_NAME_LEN SQL_MAX_CHAR_LITERAL_LEN SQL_MAX_COLUMNS_IN_GROUP_BY SQL_MAX_COLUMNS_IN_INDEX SQL_MAX_COLUMNS_IN_ORDER_BY SQL_MAX_COLUMNS_IN_SELECT SQL_MAX_COLUMNS_IN_TABLE SQL_MAX_COLUMN_NAME_LEN SQL_MAX_CONCURRENT_ACTIVITIES SQL_MAX_CURSOR_NAME_LEN SQL_MAX_DRIVER_CONNECTIONS SQL_MAX_IDENTIFIER_LEN SQL_MAX_INDEX_SIZE SQL_MAX_PROCEDURE_NAME_LEN SQL_MAX_ROW_SIZE SQL_MAX_ROW_SIZE_INCLUDES_LONG SQL_MAX_SCHEMA_NAME_LEN SQL_MAX_STATEMENT_LEN SQL_MAX_TABLES_IN_SELECT SQL_MAX_TABLE_NAME_LEN SQL_MAX_USER_NAME_LEN SQL_MULTIPLE_ACTIVE_TXN SQL_MULT_RESULT_SETS SQL_NEED_LONG_DATA_LEN SQL_NON_NULLABLE_COLUMNS SQL_NULL_COLLATION SQL_NUMERIC_FUNCTIONS SQL_ODBC_INTERFACE_CONFORMANCE SQL_ODBC_VER SQL_OJ_CAPABILITIES SQL_ORDER_BY_COLUMNS_IN_SELECT SQL_PARAM_ARRAY_ROW_COUNTS SQL_PARAM_ARRAY_SELECTS SQL_PARAM_TYPE_UNKNOWN SQL_PARAM_INPUT SQL_PARAM_INPUT_OUTPUT SQL_PARAM_OUTPUT SQL_RETURN_VALUE SQL_RESULT_COL SQL_PROCEDURES SQL_PROCEDURE_TERM SQL_QUOTED_IDENTIFIER_CASE SQL_ROW_UPDATES SQL_SCHEMA_TERM SQL_SCHEMA_USAGE SQL_SCROLL_OPTIONS SQL_SEARCH_PATTERN_ESCAPE SQL_SERVER_NAME SQL_SPECIAL_CHARACTERS SQL_SQL92_DATETIME_FUNCTIONS SQL_SQL92_FOREIGN_KEY_DELETE_RULE SQL_SQL92_FOREIGN_KEY_UPDATE_RULE SQL_SQL92_GRANT SQL_SQL92_NUMERIC_VALUE_FUNCTIONS SQL_SQL92_PREDICATES SQL_SQL92_RELATIONAL_JOIN_OPERATORS SQL_SQL92_REVOKE SQL_SQL92_ROW_VALUE_CONSTRUCTOR SQL_SQL92_STRING_FUNCTIONS SQL_SQL92_VALUE_EXPRESSIONS SQL_SQL_CONFORMANCE SQL_STANDARD_CLI_CONFORMANCE SQL_STATIC_CURSOR_ATTRIBUTES1 SQL_STATIC_CURSOR_ATTRIBUTES2 SQL_STRING_FUNCTIONS SQL_SUBQUERIES SQL_SYSTEM_FUNCTIONS SQL_TABLE_TERM SQL_TIMEDATE_ADD_INTERVALS SQL_TIMEDATE_DIFF_INTERVALS SQL_TIMEDATE_FUNCTIONS SQL_TXN_CAPABLE SQL_TXN_ISOLATION_OPTION SQL_UNION SQL_USER_NAME SQL_XOPEN_CLI_YEAR __doc__ pyodbc 3.0.7 version threadsafety 2.0 apilevel qmark paramstyle Connection Cursor Row Date Time Timestamp DATETIME STRING NUMBER ROWID BINARY Binary BinaryNull UNICODE_SIZE SQLWCHAR_SIZE cannot create 'pyodbc.Row' instances tuple index out of range Row assignment index out of range () row index out of range index=%d len=%d row indices must be integers, not %.200s cursor_description ON __reduce__ pyodbc.Row Unicode required $@" `# p# " 4# @# 0 " " " " " " # $ " ( ( " ' ( ( " . . 0 " $. 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The connection will be unusable from this point forward and a ProgrammingError
will be raised if any operation is attempted with the connection. The same
applies to all cursor objects trying to use the connection.
Note that closing a connection without committing the changes first will cause
an implicit rollback to be performed. Commit any pending transaction to the database. Return a new Cursor object using the connection. getinfo(type) --> str | int | bool
Calls SQLGetInfo, passing `type`, and returns the result formatted as a Python object. __exit__(*excinfo) -> None. Commits the connection if necessary. ` h p __enter__() -> self. p 0Y \ V ` h p x % ` # $ p & 0' execute(sql, [params]) --> Cursor
Create a new Cursor object, call its execute method, and return it. See
Cursor.execute for more details.
This is a convenience method that is not part of the DB API. Since a new
Cursor is allocated by each call, this should not be used if more than one SQL
statement needs to be executed. ` h p ` h p ( 8 H clear_output_converters() --> None
Remove all output converter functions. Connection objects manage connections to the database.
Each manages a single ODBC HDBC. Causes the the database to roll back to the start of any pending transaction. add_output_converter(sqltype, func) --> None
Register an output converter function that will be called whenever a value with
the given SQL type is read from the database.
sqltype
The integer SQL type value to convert, which can be one of the defined
standard constants (e.g. pyodbc.SQL_VARCHAR) or a database-specific value
(e.g. -151 for the SQL Server 2008 geometry data type).
func
The converter function which will be called with a single parameter, the
value, and should return the converted value. If the value is NULL, the
parameter will be None. Otherwise it will be a Python string. h p ` h p @ S H @ Q P ` 0W X P" xS ` " Y p S x * Y @ X + Q 0+ `T C.getTypeInfo(sqlType=None) --> self
Executes SQLGetTypeInfo a creates a result set with information about the
specified data type or all data types supported by the ODBC driver if not
specified.
Each row fetched has the following columns:
0) type_name
1) data_type
2) column_size
3) literal_prefix
4) literal_suffix
5) create_params
6) nullable
7) case_sensitive
8) searchable
9) unsigned_attribute
10) fixed_prec_scale
11) auto_unique_value
12) local_type_name
13) minimum_scale
14) maximum_scale
15) sql_data_type
16) sql_datetime_sub
17) num_prec_radix
18) interval_precision Close the cursor now (rather than whenever __del__ is called). The cursor will
be unusable from this point forward; a ProgrammingError exception will be
raised if any operation is attempted with the cursor. C.procedureColumns(procedure=None, catalog=None, schema=None) --> self
Executes SQLProcedureColumns and creates a result set of information
about stored procedure columns and results.
0) procedure_cat
1) procedure_schem
2) procedure_name
3) column_name
4) column_type
5) data_type
6) type_name
7) column_size
8) buffer_length
9) decimal_digits
10) num_prec_radix
11) nullable
12) remarks
13) column_def
14) sql_data_type
15) sql_datetime_sub
16) char_octet_length
17) ordinal_position
18) is_nullable h p ` h p skip(count) --> None
Skips the next `count` records by calling SQLFetchScroll with SQL_FETCH_NEXT.
For convenience, skip(0) is accepted and will do nothing. __exit__(*excinfo) -> None. Commits the connection if necessary.. . C.tables(table=None, catalog=None, schema=None, tableType=None) --> self
Executes SQLTables and creates a results set of tables defined in the data
source.
The table, catalog, and schema interpret the '_' and '%' characters as
wildcards. The escape character is driver specific, so use
`Connection.searchescape`.
Each row fetched has the following columns:
0) table_cat: The catalog name.
1) table_schem: The schema name.
2) table_name: The table name.
3) table_type: One of 'TABLE', 'VIEW', SYSTEM TABLE', 'GLOBAL TEMPORARY'
'LOCAL TEMPORARY', 'ALIAS', 'SYNONYM', or a data source-specific type name. P T r ` H @w p P j | fetchmany() --> list of Rows
Fetch all remaining rows of a query result, returning them as a list of Rows.
An empty list is returned if there are no more rows.
A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet. C.primaryKeys(table, catalog=None, schema=None) --> self
Creates a results set of column names that make up the primary key for a table
by executing the SQLPrimaryKeys function.
Each row fetched has the following columns:
0) table_cat
1) table_schem
2) table_name
3) column_name
4) key_seq
5) pk_name This read/write attribute specifies the number of rows to fetch at a time with
fetchmany(). It defaults to 1 meaning to fetch a single row at a time. ` 5 `n PF `F f q C.columns(table=None, catalog=None, schema=None, column=None)
Creates a results set of column names in specified tables by executing the ODBC SQLColumns function.
Each row fetched has the following columns:
0) table_cat
1) table_schem
2) table_name
3) column_name
4) data_type
5) type_name
6) column_size
7) buffer_length
8) decimal_digits
9) num_prec_radix
10) nullable
11) remarks
12) column_def
13) sql_data_type
14) sql_datetime_sub
15) char_octet_length
16) ordinal_position
17) is_nullable Cursor objects represent a database cursor, which is used to manage the context
of a fetch operation. Cursors created from the same connection are not
isolated, i.e., any changes done to the database by a cursor are immediately
visible by the other cursors. Cursors created from different connections are
isolated.
Cursors implement the iterator protocol, so results can be iterated:
cursor.execute(sql)
for row in cursor:
print row[0] C.rowIdColumns(table, catalog=None, schema=None, nullable=True) --> self
Executes SQLSpecialColumns with SQL_ROWVER which creates a result set of columns that
are automatically updated when any value in the row is updated.
Each row fetched has the following columns:
0) scope
1) column_name
2) data_type
3) type_name
4) column_size
5) buffer_length
6) decimal_digits
7) pseudo_column ` Pa This read-only attribute specifies the number of rows the last DML statement
(INSERT, UPDATE, DELETE) affected. This is set to -1 for SELECT statements. nextset() --> True | None
Jumps to the next resultset if the last sql has multiple resultset.Returns True if there is a next resultset otherwise None. C.execute(sql, [params]) --> Cursor
Prepare and execute a database query or command.
Parameters may be provided as a sequence (as specified by the DB API) or
simply passed in one after another (non-standard):
cursor.execute(sql, (param1, param2))
or
cursor.execute(sql, param1, param2)
C.foreignKeys(table=None, catalog=None, schema=None,
foreignTable=None, foreignCatalog=None, foreignSchema=None) --> self
Executes the SQLForeignKeys function and creates a results set of column names
that are foreign keys in the specified table (columns in the specified table
that refer to primary keys in other tables) or foreign keys in other tables
that refer to the primary key in the specified table.
Each row fetched has the following columns:
0) pktable_cat
1) pktable_schem
2) pktable_name
3) pkcolumn_name
4) fktable_cat
5) fktable_schem
6) fktable_name
7) fkcolumn_name
8) key_seq
9) update_rule
10) delete_rule
11) fk_name
12) pk_name
13) deferrability This read-only attribute is a sequence of 7-item sequences. Each of these
sequences contains information describing one result column: (name, type_code,
display_size, internal_size, precision, scale, null_ok). All values except
name, type_code, and internal_size are None. The type_code entry will be the
type object used to create values for that column (e.g. `str` or
`datetime.datetime`).
This attribute will be None for operations that do not return rows or if the
cursor has not had an operation invoked via the execute() method yet.
The type_code can be interpreted by comparing it to the Type Objects defined in
the DB API and defined the pyodbc module: Date, Time, Timestamp, Binary,
STRING, BINARY, NUMBER, and DATETIME. C.statistics(catalog=None, schema=None, unique=False, quick=True) --> self
Creates a results set of statistics about a single table and the indexes associated with
the table by executing SQLStatistics.
unique
If True, only unique indexes are retured. Otherwise all indexes are returned.
quick
If True, CARDINALITY and PAGES are returned only if they are readily available
from the server
Each row fetched has the following columns:
0) table_cat
1) table_schem
2) table_name
3) non_unique
4) index_qualifier
5) index_name
6) type
7) ordinal_position
8) column_name
9) asc_or_desc
10) cardinality
11) pages
12) filter_condition This read-only attribute return a reference to the Connection object on which
the cursor was created.
The attribute simplifies writing polymorph code in multi-connection
environments. C.procedures(procedure=None, catalog=None, schema=None) --> self
Executes SQLProcedures and creates a result set of information about the
procedures in the data source.
Each row fetched has the following columns:
0) procedure_cat
1) procedure_schem
2) procedure_name
3) num_input_params
4) num_output_params
5) num_result_sets
6) remarks
7) procedure_type Ignored. Rolls back any pending transaction to the database on the current connection,
including those from other cursors.
C.rowIdColumns(table, catalog=None, schema=None, nullable=True) -->
Executes SQLSpecialColumns with SQL_BEST_ROWID which creates a result set of columns that
uniquely identify a row
Each row fetched has the following columns:
0) scope
1) column_name
2) data_type
3) type_name
4) column_size
5) buffer_length
6) decimal_digits
7) pseudo_column executemany(sql, seq_of_params) --> Cursor | count | None
Prepare a database query or command and then execute it against all parameter
sequences found in the sequence seq_of_params.
Only the result of the final execution is returned. See `execute` for a
description of parameter passing the return value. fetchmany(size=cursor.arraysize) --> list of Rows
Fetch the next set of rows of a query result, returning a list of Row
instances. An empty list is returned when no more rows are available.
The number of rows to fetch per call is specified by the parameter. If it is
not given, the cursor's arraysize determines the number of rows to be
fetched. The method should try to fetch as many rows as indicated by the size
parameter. If this is not possible due to the specified number of rows not
being available, fewer rows may be returned.
A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet. fetchone() --> Row | None
Fetch the next row of a query result set, returning a single Row instance, or
None when no more data is available.
A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet. A database module for accessing databases via ODBC.
This module conforms to the DB API 2.0 specification while providing
non-standard convenience features. Only standard Python data types are used
so additional DLLs are not required.
Static Variables:
version
The module version string. Official builds will have a version in the format
`major.minor.revision`, such as 2.1.7. Beta versions will have -beta appended,
such as 2.1.8-beta03. (This would be a build before the official 2.1.8 release.)
Some special test builds will have a test name (the git branch name) prepended,
such as fixissue90-2.1.8-beta03.
apilevel
The string constant '2.0' indicating this module supports DB API level 2.0.
lowercase
A Boolean that controls whether column names in result rows are lowercased.
This can be changed any time and affects queries executed after the change.
The default is False. This can be useful when database columns have
inconsistent capitalization.
pooling
A Boolean indicating whether connection pooling is enabled. This is a
global (HENV) setting, so it can only be modified before the first
connection is made. The default is True, which enables ODBC connection
pooling.
threadsafety
The integer 1, indicating that threads may share the module but not
connections. Note that connections and cursors may be used by different
threads, just not at the same time.
qmark
The string constant 'qmark' to indicate parameters are identified using
question marks. TimestampFromTicks(ticks) --> datetime.datetime
Returns a datetime object initialized from the given ticks value (number of
seconds since the epoch; see the documentation of the standard Python time
module for details drivers() -> [ driver, ... ]
Returns a list of installed drivers DateFromTicks(ticks) --> datetime.date
Returns a date object initialized from the given ticks value (number of seconds
since the epoch; see the documentation of the standard Python time module for
details). dataSources() -> { DSN : Description }
Returns a dictionary mapping available DSNs to their descriptions. TimeFromTicks(ticks) --> datetime.time
Returns a time object initialized from the given ticks value (number of seconds
since the epoch; see the documentation of the standard Python time module for
details). p p p P connect(str, autocommit=False, ansi=False, timeout=0, **kwargs) --> Connection
Accepts an ODBC connection string and returns a new Connection object.
The connection string will be passed to SQLDriverConnect, so a DSN connection
can be created using:
cnxn = pyodbc.connect('DSN=DataSourceName;UID=user;PWD=password')
To connect without requiring a DSN, specify the driver and connection
information:
DRIVER={SQL Server};SERVER=localhost;DATABASE=testdb;UID=user;PWD=password
Note the use of braces when a value contains spaces. Refer to SQLDriverConnect
documentation or the documentation of your ODBC driver for details.
The connection string can be passed as the string `str`, as a list of keywords,
or a combination of the two. Any keywords except autocommit, ansi, and timeout
(see below) are simply added to the connection string.
connect('server=localhost;user=me')
connect(server='localhost', user='me')
connect('server=localhost', user='me')
The DB API recommends the keywords 'user', 'password', and 'host', but these
are not valid ODBC keywords, so these will be converted to 'uid', 'pwd', and
'server'.
Special Keywords
The following specal keywords are processed by pyodbc and are not added to the
connection string. (If you must use these in your connection string, pass them
as a string, not as keywords.)
autocommit
If False or zero, the default, transactions are created automatically as
defined in the DB API 2. If True or non-zero, the connection is put into
ODBC autocommit mode and statements are committed automatically.
ansi
By default, pyodbc first attempts to connect using the Unicode version of
SQLDriverConnectW. If the driver returns IM001 indicating it does not
support the Unicode version, the ANSI version is tried. Any other SQLSTATE
is turned into an exception. Setting ansi to true skips the Unicode
attempt and only connects using the ANSI version. This is useful for
drivers that return the wrong SQLSTATE (or if pyodbc is out of date and
should support other SQLSTATEs).
timeout
An integer login timeout in seconds, used to set the SQL_ATTR_LOGIN_TIMEOUT
attribute of the connection. The default is 0 which means the database's
default timeout, if any, is used.
P 0 Ь Р Xd p 0 P ` p p @ з ( The Cursor.description sequence from the Cursor that created this row. Row objects are sequence objects that hold query results.
They are similar to tuples in that they cannot be resized and new attributes
cannot be added, but individual elements can be replaced. This allows data to
be "fixed up" after being fetched. (For example, datetimes may be replaced by
those with time zones attached.)
row[0] = row[0].replace(tzinfo=timezone)
print row[0]
Additionally, individual values can be optionally be accessed or replaced by
name. Non-alphanumeric characters are replaced with an underscore.
cursor.execute("select customer_id, [Name With Spaces] from tmp")
row = cursor.fetchone()
print row.customer_id, row.Name_With_Spaces
If using this non-standard feature, it is often convenient to specifiy the name
using the SQL 'as' keyword:
cursor.execute("select count(*) as total from tmp")
row = cursor.fetchone()
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