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int64
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768
714,011
pyjdbc.connect
__getitem__
null
def __getitem__(self, key): return self.__dict__['_parsed'][key]
(self, key)
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714,012
pyjdbc.connect
__init__
null
def __init__(self, parsed_args: dict): if not isinstance(parsed_args, dict): raise ValueError('properties must be instanceof `parsed_args`') self.__dict__['_parsed'] = parsed_args
(self, parsed_args: dict)
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714,013
pyjdbc.connect
__iter__
null
def __iter__(self): return iter(self.__dict__['_parsed'])
(self)
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714,014
pyjdbc.connect
__setattr__
null
def __setattr__(self, key, value): self.__dict__['_parsed'][key] = value
(self, key, value)
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714,015
pyjdbc.connect
__setitem__
null
def __setitem__(self, key, value): self.__dict__['_parsed'][key] = value
(self, key, value)
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714,016
pyjdbc.connect
get
null
def get(self, key, default=None): return self.__dict__['_parsed'].get(key, default)
(self, key, default=None)
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714,017
pyjdbc.connect
items
null
def items(self): return self.__dict__['_parsed'].items()
(self)
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714,018
pyjdbc.connect
ConnectFunction
Contains the logic to correctly implement a `connect` function for your db-api-2.0 compliant jdbc wrapper. Generally implementations only need override __init__ arguments and `get_connection()`
class ConnectFunction: """ Contains the logic to correctly implement a `connect` function for your db-api-2.0 compliant jdbc wrapper. Generally implementations only need override __init__ arguments and `get_connection()` """ _driver_path = None _driver_class = None _connection_class = None _cursor_class = None _parser = None _type_conversion = None _runtime_invocation_ok = None def __init__(self, driver_path, driver_class, connection_class=JdbcConnection, cursor_class=JdbcCursor, parser=ArgumentParser, type_conversion=JdbcTypeConversion, runtime_invocation_ok=True): self.driver_path = driver_path self.driver_class = driver_class self.connection_class = connection_class self.cursor_class = cursor_class self.parser = parser self.type_conversion = type_conversion self.runtime_invocation_ok = runtime_invocation_ok @property def driver_path(self): return self._driver_path @driver_path.setter def driver_path(self, path: str): self._driver_path = path @property def driver_class(self): return self._driver_class @driver_class.setter def driver_class(self, cls: str): """ The driver class to instantiate JDBC connections with. :param cls: a string giving the fully qualified Java class name :return: """ self._driver_class = cls @property def connection_class(self): return self._connection_class @connection_class.setter def connection_class(self, cls): if not issubclass(cls, JdbcConnection): raise ValueError('"connection_class" must be class of {}'.format(str(JdbcConnection))) self._connection_class = cls @property def cursor_class(self): return self._cursor_class @cursor_class.setter def cursor_class(self, cls): if not issubclass(cls, JdbcCursor): raise ValueError('"connection_class" must be class of {}'.format(str(JdbcCursor))) self._cursor_class = cls @property def runtime_invocation_ok(self): return self._cursor_class @runtime_invocation_ok.setter def runtime_invocation_ok(self, is_ok): """ Indicates if it is acceptable it invoke the JDBC Driver directly from the Jar file AFTER JVM startup. :param is_ok: True/False :type is_ok: bool :return: """ if not isinstance(is_ok, bool): raise ValueError('"isok" must be bool, got: {}'.format(type(is_ok))) self._runtime_invocation_ok = is_ok @property def parser(self): """ class object used to parse *args, and **kwargs passed into connect :return: parser class object :rtype: ArgumentParser """ return self._parser @parser.setter def parser(self, parser: ArgumentParser): self._parser = parser @property def type_conversion(self): return self._type_conversion @type_conversion.setter def type_conversion(self, cls): if not issubclass(cls, JdbcTypeConversion): raise ValueError('"type_conversion" must be class of {}'.format(str(JdbcTypeConversion))) self._type_conversion = cls def get_connection(self, driver_class: JClass, arguments: ConnectArguments): """ Creates and returns the python JdbcConnection object wrapper instance :return: JdbcConnection instance :rtype: JdbcConnection """ raise NotImplementedError('this method must be defined by the implementation') def handle_args(self, arguments: ConnectArguments): """ Optional method that can be implemented by subclasses Called immediately after arguments are successfully parsed, before any additional operations are performed. Useful for setting driver options from argument inputs. For example if you need to set the `driver_path` or `driver_class` at runtime perhaps based upon user configuration. :param arguments: :return: """ pass def parse_args(self, *args, **kwargs): """ :param args: :param kwargs: :rtype: ConnectArguments :return: returns an instance of ConnectArguments containing """ ParserClass = self.parser parser = ParserClass(*args, **kwargs) args = parser.parse() self.handle_args(args) return args def load_driver(self): """ Loads the driver defined via `driver_path` and `driver_class` if self. Classpath.load_jar_class('sqlite-jdbc-3.21.0.jar', 'org.sqlite.SQLiteConnection') :return: Java driver class object via JPype :rtype: JConnection """ if self.driver_path and not (isfile(self.driver_path) or isdir(self.driver_path)): raise ValueError('"driver_path" is not a valid jar file or directory {}\n' '"driver_path" can be set to `None` if the classpath is configured by' 'the user'.format(self.driver_path)) if self.driver_class is None or not str(self.driver_class).strip(): raise ValueError('"driver_class" must be set on {}'.format(self.__class__)) if Jvm.is_running(): # if the jvm is already running, it's possible the class we need has already been loaded before # or is already on the classpath try: driver = JClass(self.driver_class) except JClass('java.lang.ClassNotFoundException'): pass else: return driver # if the jvm has NOT been started, add the driver jar to the classpath explicitly # and try to load the class # this is designed this way to ensure the only time we use the users provided classpath # is when driver_path has NOT been given. if not Jvm.is_running() and not self.driver_path: Jvm.start() # try to load the driver normally, this assumes the classpath has been set for us by the user try: driver = JClass(self.driver_class) except JClass('java.lang.ClassNotFoundException'): raise DriverNotFoundError('The driver class "{}" could not be found on ' 'the classpath\n' 'Note: no jar-path was passed to pyjdbc via ' '"driver_path"\n' 'Classpath:\n' '{}'.format(self.driver_class, Classpath.get())) else: return driver if not Jvm.is_running(): # according to jpype a jar file can be added to the classpath directly: # https://jpype.readthedocs.io/en/latest/quickguide.html#starting-jpype Classpath.add(self.driver_path) Jvm.start() try: driver = JClass(self.driver_class) except (TypeError, JClass('java.lang.ClassNotFoundException')): raise DriverNotFoundError('The driver class "{}" could not be found on the classpath.\n' '"driver_path" = {}\n' 'Classpath:\n' '{}'.format(self.driver_class, self.driver_path, Classpath.get())) from None else: return driver else: if not self.runtime_invocation_ok: raise RuntimeError('Error in driver {} - runtime invocation of the pyjdbc based driver: "{}" ' 'is not allowed.\n' 'you may need to set the classpath via the java.Classpath method before invoking' 'the driver!'.format(self.driver_class,
(driver_path, driver_class, connection_class=<class 'pyjdbc.dbapi.JdbcConnection'>, cursor_class=<class 'pyjdbc.dbapi.JdbcCursor'>, parser=<class 'pyjdbc.connect.ArgumentParser'>, type_conversion=<class 'pyjdbc.types.JdbcTypeConversion'>, runtime_invocation_ok=True)
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714,019
pyjdbc.connect
__call__
:param args: :param kwargs: :return: Python JdbcConnection instance
def __call__(self, *args, **kwargs): """ :param args: :param kwargs: :return: Python JdbcConnection instance """ return self.connect(*args, **kwargs)
(self, *args, **kwargs)
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714,020
pyjdbc.connect
__init__
null
def __init__(self, driver_path, driver_class, connection_class=JdbcConnection, cursor_class=JdbcCursor, parser=ArgumentParser, type_conversion=JdbcTypeConversion, runtime_invocation_ok=True): self.driver_path = driver_path self.driver_class = driver_class self.connection_class = connection_class self.cursor_class = cursor_class self.parser = parser self.type_conversion = type_conversion self.runtime_invocation_ok = runtime_invocation_ok
(self, driver_path, driver_class, connection_class=<class 'pyjdbc.dbapi.JdbcConnection'>, cursor_class=<class 'pyjdbc.dbapi.JdbcCursor'>, parser=<class 'pyjdbc.connect.ArgumentParser'>, type_conversion=<class 'pyjdbc.types.JdbcTypeConversion'>, runtime_invocation_ok=True)
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714,021
pyjdbc.connect
connect
Loads driver class and retrieves connection Lower level interface than ``get_connection()`` Driver implementations may override this method if they wish to override driver loading semantics :param args: driver specific positional arguments :param kwargs: driver specific keyword arguments :return: JdbcConnection instance or subclass of :rtype: JdbcConnection
def connect(self, *args, **kwargs): """ Loads driver class and retrieves connection Lower level interface than ``get_connection()`` Driver implementations may override this method if they wish to override driver loading semantics :param args: driver specific positional arguments :param kwargs: driver specific keyword arguments :return: JdbcConnection instance or subclass of :rtype: JdbcConnection """ arguments = self.parse_args(*args, **kwargs) driver_class = self.load_driver() return self.get_connection(driver_class, arguments)
(self, *args, **kwargs)
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714,022
pyjdbc.connect
get_connection
Creates and returns the python JdbcConnection object wrapper instance :return: JdbcConnection instance :rtype: JdbcConnection
def get_connection(self, driver_class: JClass, arguments: ConnectArguments): """ Creates and returns the python JdbcConnection object wrapper instance :return: JdbcConnection instance :rtype: JdbcConnection """ raise NotImplementedError('this method must be defined by the implementation')
(self, driver_class: jpype._jclass.JClass, arguments: pyjdbc.connect.ConnectArguments)
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714,023
pyjdbc.connect
handle_args
Optional method that can be implemented by subclasses Called immediately after arguments are successfully parsed, before any additional operations are performed. Useful for setting driver options from argument inputs. For example if you need to set the `driver_path` or `driver_class` at runtime perhaps based upon user configuration. :param arguments: :return:
def handle_args(self, arguments: ConnectArguments): """ Optional method that can be implemented by subclasses Called immediately after arguments are successfully parsed, before any additional operations are performed. Useful for setting driver options from argument inputs. For example if you need to set the `driver_path` or `driver_class` at runtime perhaps based upon user configuration. :param arguments: :return: """ pass
(self, arguments: pyjdbc.connect.ConnectArguments)
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714,024
pyjdbc.connect
load_driver
Loads the driver defined via `driver_path` and `driver_class` if self. Classpath.load_jar_class('sqlite-jdbc-3.21.0.jar', 'org.sqlite.SQLiteConnection') :return: Java driver class object via JPype :rtype: JConnection
def load_driver(self): """ Loads the driver defined via `driver_path` and `driver_class` if self. Classpath.load_jar_class('sqlite-jdbc-3.21.0.jar', 'org.sqlite.SQLiteConnection') :return: Java driver class object via JPype :rtype: JConnection """ if self.driver_path and not (isfile(self.driver_path) or isdir(self.driver_path)): raise ValueError('"driver_path" is not a valid jar file or directory {}\n' '"driver_path" can be set to `None` if the classpath is configured by' 'the user'.format(self.driver_path)) if self.driver_class is None or not str(self.driver_class).strip(): raise ValueError('"driver_class" must be set on {}'.format(self.__class__)) if Jvm.is_running(): # if the jvm is already running, it's possible the class we need has already been loaded before # or is already on the classpath try: driver = JClass(self.driver_class) except JClass('java.lang.ClassNotFoundException'): pass else: return driver # if the jvm has NOT been started, add the driver jar to the classpath explicitly # and try to load the class # this is designed this way to ensure the only time we use the users provided classpath # is when driver_path has NOT been given. if not Jvm.is_running() and not self.driver_path: Jvm.start() # try to load the driver normally, this assumes the classpath has been set for us by the user try: driver = JClass(self.driver_class) except JClass('java.lang.ClassNotFoundException'): raise DriverNotFoundError('The driver class "{}" could not be found on ' 'the classpath\n' 'Note: no jar-path was passed to pyjdbc via ' '"driver_path"\n' 'Classpath:\n' '{}'.format(self.driver_class, Classpath.get())) else: return driver if not Jvm.is_running(): # according to jpype a jar file can be added to the classpath directly: # https://jpype.readthedocs.io/en/latest/quickguide.html#starting-jpype Classpath.add(self.driver_path) Jvm.start() try: driver = JClass(self.driver_class) except (TypeError, JClass('java.lang.ClassNotFoundException')): raise DriverNotFoundError('The driver class "{}" could not be found on the classpath.\n' '"driver_path" = {}\n' 'Classpath:\n' '{}'.format(self.driver_class, self.driver_path, Classpath.get())) from None else: return driver else: if not self.runtime_invocation_ok: raise RuntimeError('Error in driver {} - runtime invocation of the pyjdbc based driver: "{}" ' 'is not allowed.\n' 'you may need to set the classpath via the java.Classpath method before invoking' 'the driver!'.format(self.driver_class, self.__class__.__name__)) from None try: driver = Classpath.load_jar_class(self.driver_path, self.driver_class) except (TypeError, JClass('java.lang.ClassNotFoundException')) as e: raise DriverNotFoundError('unable to load jdbc driver class: "{}" from {}'.format( self.driver_class, self.driver_path )) from e return driver
(self)
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714,025
pyjdbc.connect
parse_args
:param args: :param kwargs: :rtype: ConnectArguments :return: returns an instance of ConnectArguments containing
def parse_args(self, *args, **kwargs): """ :param args: :param kwargs: :rtype: ConnectArguments :return: returns an instance of ConnectArguments containing """ ParserClass = self.parser parser = ParserClass(*args, **kwargs) args = parser.parse() self.handle_args(args) return args
(self, *args, **kwargs)
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714,026
pyjdbc.connect
Decorator
Contains decorator functions (static methods) for decorating functions to configure function arguments
class Decorator: """ Contains decorator functions (static methods) for decorating functions to configure function arguments """ @staticmethod def argument(name=None, position=None, argtype=None, mandatory=False, requires=(), excludes=(), default=None, description=None, choices=None, secret=None): """ Decorate a function to create an argument automatically :param name: The name of the argument, (kwarg name) if not provided will be the name of the function being decorated. :param position: Position (if positional / required argument), positions start at 0. positional arguments are automatically mandatory :param argtype: The python type of the argument, if the given argument is not an instance of this type an exception will be raised. :param mandatory: Bool that indicates if the argument is required. :param requires: A sequence of other argument names - if this argument is set, this ensures the other arguments mentioned by `requires` are also set. :param excludes: A sequence of other argument names - if this argument is set, the named arguments must NOT be set. :param default: A default value for the argument, excludes "mandatory". :param description: Help text for the argument :param choices: Sequence defining the allowable set of options the argument value may be. :param secret: Indicates if the argument is sensitive / secret - the argument will be excluded from logging or errors. :return: The decorated function (with a ``_argument`` attribute initialized as ``ArgumentOpts`` """ def decorator(func): if name is None: name2 = func.__name__ else: name2 = name fn_args = inspect.getfullargspec(func).args if len(fn_args) < 2: raise ValueError('decorated function [{}] must accept at least 1 argument <value>'.format(str(func))) description2 = doc_str(func) if description is None else description if not description2: description2 = str(func) arg = ArgumentOpts(name=name2, position=position, argtype=argtype, mandatory=mandatory, requires=requires, excludes=excludes, default=default, description=description2, choices=choices, secret=secret, fn=func) # store the argument inside the function object. setattr(func, DECORATOR_ATTRIBUTE, arg) return func return decorator
()
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714,027
pyjdbc.connect
argument
Decorate a function to create an argument automatically :param name: The name of the argument, (kwarg name) if not provided will be the name of the function being decorated. :param position: Position (if positional / required argument), positions start at 0. positional arguments are automatically mandatory :param argtype: The python type of the argument, if the given argument is not an instance of this type an exception will be raised. :param mandatory: Bool that indicates if the argument is required. :param requires: A sequence of other argument names - if this argument is set, this ensures the other arguments mentioned by `requires` are also set. :param excludes: A sequence of other argument names - if this argument is set, the named arguments must NOT be set. :param default: A default value for the argument, excludes "mandatory". :param description: Help text for the argument :param choices: Sequence defining the allowable set of options the argument value may be. :param secret: Indicates if the argument is sensitive / secret - the argument will be excluded from logging or errors. :return: The decorated function (with a ``_argument`` attribute initialized as ``ArgumentOpts``
@staticmethod def argument(name=None, position=None, argtype=None, mandatory=False, requires=(), excludes=(), default=None, description=None, choices=None, secret=None): """ Decorate a function to create an argument automatically :param name: The name of the argument, (kwarg name) if not provided will be the name of the function being decorated. :param position: Position (if positional / required argument), positions start at 0. positional arguments are automatically mandatory :param argtype: The python type of the argument, if the given argument is not an instance of this type an exception will be raised. :param mandatory: Bool that indicates if the argument is required. :param requires: A sequence of other argument names - if this argument is set, this ensures the other arguments mentioned by `requires` are also set. :param excludes: A sequence of other argument names - if this argument is set, the named arguments must NOT be set. :param default: A default value for the argument, excludes "mandatory". :param description: Help text for the argument :param choices: Sequence defining the allowable set of options the argument value may be. :param secret: Indicates if the argument is sensitive / secret - the argument will be excluded from logging or errors. :return: The decorated function (with a ``_argument`` attribute initialized as ``ArgumentOpts`` """ def decorator(func): if name is None: name2 = func.__name__ else: name2 = name fn_args = inspect.getfullargspec(func).args if len(fn_args) < 2: raise ValueError('decorated function [{}] must accept at least 1 argument <value>'.format(str(func))) description2 = doc_str(func) if description is None else description if not description2: description2 = str(func) arg = ArgumentOpts(name=name2, position=position, argtype=argtype, mandatory=mandatory, requires=requires, excludes=excludes, default=default, description=description2, choices=choices, secret=secret, fn=func) # store the argument inside the function object. setattr(func, DECORATOR_ATTRIBUTE, arg) return func return decorator
(name=None, position=None, argtype=None, mandatory=False, requires=(), excludes=(), default=None, description=None, choices=None, secret=None)
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714,028
hivejdbc
DictCursor
null
class DictCursor(JdbcDictCursor): pass
(connection: pyjdbc.dbapi.JdbcConnection, type_conversion, rowcounts=True)
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714,031
pyjdbc.dbapi
__init__
null
def __init__(self, connection: JdbcConnection, type_conversion, rowcounts=True): self._connection = connection self._type_conversion = type_conversion self._description = None self._metadata = None self._statement = None self._resultset = None self._rowcount = -1 self._get_rowcounts = rowcounts if not isinstance(connection, JdbcConnection): raise ValueError('"connection" arg must be instance of {}'.format(str(JdbcConnection)))
(self, connection: pyjdbc.dbapi.JdbcConnection, type_conversion, rowcounts=True)
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714,032
pyjdbc.dbapi
__iter__
null
def __iter__(self): while True: row = self.fetchone() if row is None: break else: yield row
(self)
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714,033
pyjdbc.dbapi
_check_params
null
def _check_params(self, params): if isinstance(params, dict): return if not isinstance(params, Sequence) or isinstance(params, (str, bytes)): raise ValueError('parameters must be a sequence or a dictionary, got: {}'.format(type(params)))
(self, params)
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714,034
pyjdbc.dbapi
_clear_connection
null
def _clear_connection(self): self._connection = None
(self)
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714,035
pyjdbc.dbapi
_clear_metadata
null
def _clear_metadata(self): self._metadata = None self._description = None
(self)
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714,036
pyjdbc.dbapi
_close_resultset
null
def _close_resultset(self): if self._resultset_valid(): self._resultset.close() self._resultset = None
(self)
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714,037
pyjdbc.dbapi
_close_statement
null
def _close_statement(self): if self._statement: self._statement.close() self._statement = None
(self)
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714,038
pyjdbc.dbapi
_connection_valid
null
def _connection_valid(self): return not self._connection.is_closed()
(self)
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714,039
pyjdbc.dbapi
_parse_params
Parse %s style or ":name" style parameters. If use :name style parameters, ``params`` must be a dictionary. :param sql: sql statement :param params: parameters (sequence or dictionary) :return:
def _parse_params(self, sql, params): """ Parse %s style or ":name" style parameters. If use :name style parameters, ``params`` must be a dictionary. :param sql: sql statement :param params: parameters (sequence or dictionary) :return: """ if not params: raise ValueError('params must be `None` or a non empty sequence or dictionary, got: {}'.format(params)) orig_params = copy(params) self._check_params(params) if isinstance(params, dict): try: # convert ":param" to ? parameters query = sqlparams.SQLParams('named', 'qmark') operation, params = query.format(sql, params) except KeyError as e: key = e.args[0] raise ValueError('":{}" is missing from parameters template in statement: "{}"' '\nParameters: {}'.format(key, sql, dict(orig_params))) # sqlparams will not check for un-consumed keyword parameters # this is an error because the user is passing in arguments that are not being used by the query if len(params) < len(orig_params): missing = ['":{}"'.format(key) for key in orig_params if ':{}'.format(key) not in sql] raise ValueError('sql statement is missing named template paramaters:\n ({})\n' 'given paramaters:\n {}\n' 'in query:\n{}'.format( ', '.join(map(str, missing)), str(dict(orig_params)), textwrap.indent(sql.strip(), ' '*4))) else: try: # convert %s to ? parameters query = sqlparams.SQLParams('format', 'qmark') operation, params = query.format(sql, params) except IndexError as e: fmt_count = sql.count('%s') raise ValueError('`params` contains incorrect number of arguments for "%s"' 'templates in query.\n' 'expected: [{}] arguments, got: [{}]'.format(fmt_count, len(params))) # sqlparams will not check for un-consumed or un-needed positional parameters extra_args = len(orig_params) - len(params) if extra_args: raise ValueError('`params` contains {} more elements than were consumed by query templates:\n{}\n' 'arguments given: [{}]\nunused: [{}]'.format( extra_args, textwrap.indent(sql.strip(), ' '*4), ', '.join(map(str, orig_params)), ', '.join(map(str, orig_params[len(params):])))) return operation, params
(self, sql, params)
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714,040
pyjdbc.dbapi
_reset
null
def _reset(self): # close any previously used resources self._clear_metadata() self._close_statement() self._close_resultset()
(self)
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714,041
pyjdbc.dbapi
_resultset_valid
null
def _resultset_valid(self): return bool(self._resultset)
(self)
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714,042
pyjdbc.dbapi
_warnings
null
def _warnings(self): if not self._resultset_valid(): return '' warning = self._resultset.getWarnings() if not warning: return '' try: return 'cursor warning: {}'.format(str(warning.getMessage())) except Exception: return ''
(self)
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714,043
pyjdbc.dbapi
close
close the cursor, the cursor cannot be used again. :return:
def close(self): """ close the cursor, the cursor cannot be used again. :return: """ # close all open resources. self._clear_connection() self._clear_metadata() try: self._close_statement() except Exception: pass try: self._close_resultset() except Exception: pass
(self)
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714,044
pyjdbc.dbapi
execute
Execute a sql statement with an optional set of parameters :param operation: Sql text :param params: a sequence or dictionary of parameters Parameters can be positional templates ``%s`` or named templates ``:name`` :param operation: :param params: :return:
def execute(self, operation, params=None): """ Execute a sql statement with an optional set of parameters :param operation: Sql text :param params: a sequence or dictionary of parameters Parameters can be positional templates ``%s`` or named templates ``:name`` :param operation: :param params: :return: """ if not self._connection_valid(): raise Error('the connection has been closed') self._reset() conn = self._connection.jdbc_connection() # handle parameters if params is not None: operation, params = self._parse_params(operation, params) # prepare the statement self._statement = stmt = conn.prepareStatement(operation) stmt.clearParameters() for column, value in enumerate(params or [], start=1): # note that in JDBC the first column index is 1 if isinstance(value, str): jvalue = JString(value) stmt.setString(column, jvalue) elif isinstance(value, float): jvalue = JDouble(value) stmt.setDouble(column, jvalue) elif isinstance(value, int): try: jvalue = JInt(value) stmt.setInt(column, jvalue) except Exception: jvalue = JLong(value) stmt.setLong(column, jvalue) elif isinstance(value, bool): jvalue = JBoolean(value) stmt.setBoolean(column, jvalue) elif isinstance(value, bytes): ByteArray = JArray(JByte) jvalue = ByteArray(value.decode('utf-8')) stmt.setBytes(column, jvalue) else: stmt.setObject(column, value) try: has_resultset = stmt.execute() except JClass('org.apache.hive.service.cli.HiveSQLException') as e: raise ProgrammingError('Error executing statement:\n{}\n{}'.format(operation, e)) from None self._rowcount = -1 if has_resultset: self._resultset = resultset = stmt.getResultSet() self._metadata = resultset.getMetaData() # get rowcount if self._get_rowcounts: try: if self._resultset.last(): # if the cursor can be moved to the last row. self._rowcount = resultset.getRow() resultset.beforeFirst() except JClass('java.sql.SQLException'): # ResultSet.last() is not supported pass else: try: self._rowcount = stmt.getUpdateCount() except JClass('java.sql.SQLException'): # not supported pass
(self, operation, params=None)
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714,045
pyjdbc.dbapi
executemany
Execute many statements each with a different set of parameters :param operation: Sql text :param seq_of_parameters: a sequence of sequences containing parameters to pass into `operation` Parameters can be positional templates ``%s`` or named templates ``:name`` :return:
def executemany(self, operation, seq_of_parameters): """ Execute many statements each with a different set of parameters :param operation: Sql text :param seq_of_parameters: a sequence of sequences containing parameters to pass into `operation` Parameters can be positional templates ``%s`` or named templates ``:name`` :return: """ try: orig_sql = operation self._reset() conn = self._connection.jdbc_connection() self._statement = stmt = conn.prepareStatement(operation) for params in seq_of_parameters: if params is not None: operation, params = self._parse_params(operation, params) for column, value in enumerate(params or [], start=1): stmt.setObject(column, value) stmt.addBatch() batch_rowcounts = stmt.executeBatch() self._rowcount = sum(batch_rowcounts) self._reset() except JClass('java.sql.SQLException') as e: # addBatch/executeBatch not supported rowcount = 0 for params in seq_of_parameters: self.execute(orig_sql, params) if self._rowcount > 0: rowcount += self._rowcount self._rowcount = rowcount if self._get_rowcounts else -1
(self, operation, seq_of_parameters)
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714,047
pyjdbc.dbapi
fetchmany
null
def fetchmany(self, size=None): # TODO implement this in a java class if not self._resultset_valid(): raise DatabaseError('result set is no longer valid ' + self._warnings()) if size is None: size = self.batch_size # TODO: handle SQLException if not supported by db self._resultset.setFetchSize(size) rows = [] row = None for i in range(size): row = self.fetchone() if row is None: break else: rows.append(row) # reset fetch size if row: # TODO: handle SQLException if not supported by db self._resultset.setFetchSize(0) return rows
(self, size=None)
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714,048
pyjdbc.dbapi
fetchone
null
def fetchone(self): row = super().fetchone() if row: names = self.column_names return dict(zip(names, row))
(self)
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714,050
hivejdbc
HiveArgParser
null
class HiveArgParser(ArgumentParser): host = ArgumentOpts(position=0, argtype=str, description='Hive Host, ie: `example.org`, can also be a comma' 'separated list of hosts to attempt') database = ArgumentOpts(position=1, argtype=str, description='Database name to connect to, `default`') port = ArgumentOpts(argtype=int, default=10000, description='Hive port, deafults to `10000`') driver = ArgumentOpts(argtype=str, description='Location to hive uber-jar (not required if Hive, Hadoop jars ' 'are on the classpath already)') cursor = ArgumentOpts(argtype=JdbcCursor, description='cursor class for queries') ssl = ArgumentOpts(argtype=bool, description='enable ssl connection mode, if the server is running with ' 'ssl certificates enabled this is required') trust_password = ArgumentOpts(argtype=str, secret=True, requires=['trust_store', 'ssl']) user = ArgumentOpts(argtype=str, description='Hive username if using username/password auth') password = ArgumentOpts(argtype=str, secret=True, requires=['user'], description='Hive basic auth password') user_principal = ArgumentOpts(argtype=str, description='Kerberos user principal', requires=['user_keytab']) realm = ArgumentOpts(argtype=str, description='Kerberos realm (domain), if set, "realm" must also be set,' 'normally this value can be obtained automatically ' 'from "default_realm" within krb5.conf', requires=['principal', 'user_keytab', 'kdc']) properties = ArgumentOpts(argtype=dict, default={}, description='properties passed to org.apache.hive.jdbc.HiveDriver "connect" method') transport = ArgumentOpts(argtype=str, default='binary', choices=('binary', 'http')) http_path = ArgumentOpts(argtype=str, description='HTTP endpoint for when HiveServer2 is running in HTTP mode.\n' 'this is a rarely used option. Only set this if `transport` ' 'is set to `binary`') init_file = ArgumentOpts(argtype=str, description='This script file is written with SQL statements which will be ' 'executed automatically after connection') service_discovery_mode = ArgumentOpts(argtype=str, choices=['zooKeeper'], requires=['zookeeper_namespace'], description='If using zookeeper service discovery you must set this') zookeeper_namespace = ArgumentOpts(argtype=str, requires=['service_discovery_mode'], description='Zookeeper namespace string for service discovery') @Decorator.argument(argtype=str, requires=['trust_password', 'ssl']) def trust_store(self, path): """Path to the java ssl trust-store, generally required if ssl=True""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not isfile(path): raise ValueError('not a valid file') return path @Decorator.argument(argtype=str, excludes=['username', 'password']) def principal(self, user): """Hive SERVICE principal, usually "hive" - should be fully qualified: `hive@EXAMPLE.COM`""" if not isinstance(user, str): raise ValueError('expected `str`, got: {}'.format(type(user))) if not Jvm.is_running(): Jvm.add_argument('javax.security.auth.useSubjectCredsOnly', '-Djavax.security.auth.useSubjectCredsOnly=false') else: System.set_property('javax.security.auth.useSubjectCredsOnly', 'false') return user @Decorator.argument(argtype=str, requires=['principal', 'user_principal']) def user_keytab(self, path): """Kerberos keytab - if provided the module will attempt kerberos login without the need for ``kinit``""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not isfile(path): raise ValueError('not a valid file') return path @Decorator.argument(argtype=str, requires=['principal']) def krb5_conf(self, path): """Kerberos krb5.conf - default locations for the file are platform dependent or set via environment variable: "KRB5_CONFIG" - if your configuration is in a default location you typically do not need to explicitly provide this configuration.""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.conf', '-Djava.security.krb5.conf={}'.format(path)) else: System.set_property('java.security.krb5.conf', path) if not isfile(path): raise ValueError('not a valid file') return path @Decorator.argument(argtype=str, requires=['principal', 'user_principal', 'user_keytab']) def kdc(self, kdc_host): """Kerberos kdc hostname:port combination""" if not isinstance(kdc_host, str): raise ValueError('expecting `str`, got: {}'.format(type(kdc_host))) if ':' not in kdc_host or len(kdc_host.split(':')) != 2 or not str(kdc_host.split(':')[-1]).isdigit(): raise ValueError('kdc must contain a host and numerical port separated by ":", ' 'kdc invalid: {}'. format(kdc_host)) if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.kdc', '-Djava.security.krb5.kdc={}'.format(kdc_host)) else: System.set_property('java.security.krb5.kdc', kdc_host) return kdc_host @Decorator.argument(argtype=dict) def hive_conf_list(self, conf_map): """ dictionary of key/value pairs of hive configuration variables for the session. the driver will automatically url encode the variables as needed """ raise NotImplementedError('hive_conf_list is not yet supported') @Decorator.argument(argtype=dict) def hive_var_list(self, var_map): """ dictionary of key/value pairs of Hive variables for this session. the driver will automatically url encode the variables as needed """ raise NotImplementedError('hive_var_list is not yet supported')
(*args, **kwargs)
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714,057
hivejdbc
hive_conf_list
dictionary of key/value pairs of hive configuration variables for the session. the driver will automatically url encode the variables as needed
@Decorator.argument(argtype=dict) def hive_conf_list(self, conf_map): """ dictionary of key/value pairs of hive configuration variables for the session. the driver will automatically url encode the variables as needed """ raise NotImplementedError('hive_conf_list is not yet supported')
(self, conf_map)
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714,058
hivejdbc
hive_var_list
dictionary of key/value pairs of Hive variables for this session. the driver will automatically url encode the variables as needed
@Decorator.argument(argtype=dict) def hive_var_list(self, var_map): """ dictionary of key/value pairs of Hive variables for this session. the driver will automatically url encode the variables as needed """ raise NotImplementedError('hive_var_list is not yet supported')
(self, var_map)
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714,059
hivejdbc
kdc
Kerberos kdc hostname:port combination
@Decorator.argument(argtype=str, requires=['principal', 'user_principal', 'user_keytab']) def kdc(self, kdc_host): """Kerberos kdc hostname:port combination""" if not isinstance(kdc_host, str): raise ValueError('expecting `str`, got: {}'.format(type(kdc_host))) if ':' not in kdc_host or len(kdc_host.split(':')) != 2 or not str(kdc_host.split(':')[-1]).isdigit(): raise ValueError('kdc must contain a host and numerical port separated by ":", ' 'kdc invalid: {}'. format(kdc_host)) if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.kdc', '-Djava.security.krb5.kdc={}'.format(kdc_host)) else: System.set_property('java.security.krb5.kdc', kdc_host) return kdc_host
(self, kdc_host)
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714,060
hivejdbc
krb5_conf
Kerberos krb5.conf - default locations for the file are platform dependent or set via environment variable: "KRB5_CONFIG" - if your configuration is in a default location you typically do not need to explicitly provide this configuration.
@Decorator.argument(argtype=str, requires=['principal']) def krb5_conf(self, path): """Kerberos krb5.conf - default locations for the file are platform dependent or set via environment variable: "KRB5_CONFIG" - if your configuration is in a default location you typically do not need to explicitly provide this configuration.""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.conf', '-Djava.security.krb5.conf={}'.format(path)) else: System.set_property('java.security.krb5.conf', path) if not isfile(path): raise ValueError('not a valid file') return path
(self, path)
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714,062
hivejdbc
principal
Hive SERVICE principal, usually "hive" - should be fully qualified: `hive@EXAMPLE.COM`
@Decorator.argument(argtype=str, excludes=['username', 'password']) def principal(self, user): """Hive SERVICE principal, usually "hive" - should be fully qualified: `hive@EXAMPLE.COM`""" if not isinstance(user, str): raise ValueError('expected `str`, got: {}'.format(type(user))) if not Jvm.is_running(): Jvm.add_argument('javax.security.auth.useSubjectCredsOnly', '-Djavax.security.auth.useSubjectCredsOnly=false') else: System.set_property('javax.security.auth.useSubjectCredsOnly', 'false') return user
(self, user)
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714,063
hivejdbc
trust_store
Path to the java ssl trust-store, generally required if ssl=True
@Decorator.argument(argtype=str, requires=['trust_password', 'ssl']) def trust_store(self, path): """Path to the java ssl trust-store, generally required if ssl=True""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not isfile(path): raise ValueError('not a valid file') return path
(self, path)
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714,064
hivejdbc
user_keytab
Kerberos keytab - if provided the module will attempt kerberos login without the need for ``kinit``
@Decorator.argument(argtype=str, requires=['principal', 'user_principal']) def user_keytab(self, path): """Kerberos keytab - if provided the module will attempt kerberos login without the need for ``kinit``""" if not isinstance(path, str): raise ValueError('expected `str`, got: {}'.format(type(path))) if not isfile(path): raise ValueError('not a valid file') return path
(self, path)
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714,065
hivejdbc
HiveConnect
null
class HiveConnect(ConnectFunction): def handle_args(self, args: ConnectArguments): """ Handle args is called before the JVM is started :param args: :return: """ # set driver path from connect function argument `driver` driver_path = args.get('driver') self.driver_path = abspath(driver_path) if driver_path else None # override the cursor class if requested. if args.get('cursor'): self.cursor_class = args.get('cursor') # handle various ways kerberos can be configured: if args.get('principal'): # kerberos is method of auth if args.get('user_keytab'): # if user_keytab is set, this means we are expected to perform the kerberos authentication. # we'll use jaas to accomplish this. kerberos.configure_jaas(use_password=False, no_prompt=True, use_ticket_cache=False, principal=args.user_principal, keytab=args.user_keytab) elif args.get('principal'): # If principal is set, but user_keytab is not set, this means we're just looking for an existing # kinit session to authenticate # this jaas configuration DOES NOT PROMPT for username/password # but looks for an existing kerberos ticket created by the operating system or `kinit` kerberos.configure_jaas(use_password=False, no_prompt=True, use_ticket_cache=True) else: pass if not Jvm.is_running(): # we don't want to see warnings about log4j not being configured, so we'll disable the log4j logger # this will not prevent other log messages from appearing in stdout Jvm.add_argument('org.apache.logging.log4j.simplelog.StatusLogger.level', '-Dorg.apache.logging.log4j.simplelog.StatusLogger.level=OFF') else: System.set_property('org.apache.logging.log4j.simplelog.StatusLogger.level', 'OFF') # if the realm is not set try to set it from the principal if args.get('kdc') and not args.get('realm'): args.realm = (kerberos.realm_from_principal(args.principal) or kerberos.realm_from_principal(args.get('user_principal', ''))) if not args.realm: raise ValueError('Argument "realm" must be set if "kdc" is set, either explicitly or in ' 'the principal name') if args.get('kdc') and args.get('realm'): # set the realm if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.realm', '-Djava.security.krb5.realm={}'.format(args.realm)) else: System.set_property('java.security.krb5.realm', args.realm) def get_connection(self, driver_class: JClass, args: ConnectArguments): """ Hive specific implementation of JdbcConnection setup When this method is called the jvm has been started, and the driver_class has been found see: https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients :param driver_class: HiveDriver `JClass` reference :type driver_class: org.apache.hive.jdbc.HiveDriver :param args: Connection arguments containing options derived from ``hivejdbc.HiveArgParser`` :type args: pyjdbc.connect.ConnectArguments :return: db-api-2 connection instance :rtype: pyjdbc.dbapi.JdbcConnection """ log = logging.getLogger(self.__class__.__name__) if ',' not in args.host: check_server(args.host, args.port) HiveDriver = driver_class java_props = Properties.from_dict(args.properties or {}) options = [] # Create the Connection String based on Arguments host_part = 'jdbc:hive2://{host}:{port}/{database}'.format(host=args.host, port=args.port, database=args.database) options.append(host_part) # -- all options after the database are called "session-variables" ------------------------ # Configure initFile - must be the first option in session-vars if args.get('init_file'): options.append('initFile={}'.format(args.init_file)) # username/password support - note that user can be given without password for unsecured hive servers if args.get('user'): options.append('user={}'.format(args.user)) if args.get('password'): options.append('password={}'.format(args.password)) # Configure transport mode if args.get('transport'): options.append('transportMode={}'.format(args.transport)) # Configure SSL options if args.get('ssl'): options.append('ssl=true') if args.get('trust_store'): options.append('sslTrustStore={}'.format(args.trust_store)) if args.get('trust_password'): options.append('trustStorePassword={}'.format(args.trust_password)) # Configure Kerberos if given if args.get('principal'): options.append('principal={}'.format(args.principal)) if args.get('transport') == 'http' and args.get('http_path'): options.append('httpPath={}'.format(args.http_path)) if args.get('service_discovery_mode'): options.append('serviceDiscoveryMode={}'.format(args.service_discovery_mode)) options.append('zooKeeperNamespace={}'.format(args.zookeeper_namespace)) conn_str = ';'.join(options) #if args.get('user_keytab'): # self.kerberos_login(args) log.debug('hive connection string: %s', conn_str) # TODO make secure hive_driver = HiveDriver() try: # connect(String url, Properties info) java_conn = hive_driver.connect(conn_str, java_props) except JClass('java.sql.SQLException') as e: # TODO self.handle_exception(e) raise return JdbcConnection(connection=java_conn, cursor_class=self.cursor_class, type_conversion=self.type_conversion()) def handle_exception(self, exc): """ Looks for known exceptions and raises more useful errors. :param exc: :return: """ # TODO handle known exceptions # resolve the exception hierarchy so we can search through all exception messages. hierarchy = [] cause = exc while True: cause = getattr(cause, '__cause__', None) if not cause: break else: hierarchy.append(cause) def handle_missing_kerberos_ticket(self, exc): pass
(driver_path, driver_class, connection_class=<class 'pyjdbc.dbapi.JdbcConnection'>, cursor_class=<class 'pyjdbc.dbapi.JdbcCursor'>, parser=<class 'pyjdbc.connect.ArgumentParser'>, type_conversion=<class 'pyjdbc.types.JdbcTypeConversion'>, runtime_invocation_ok=True)
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714,069
hivejdbc
get_connection
Hive specific implementation of JdbcConnection setup When this method is called the jvm has been started, and the driver_class has been found see: https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients :param driver_class: HiveDriver `JClass` reference :type driver_class: org.apache.hive.jdbc.HiveDriver :param args: Connection arguments containing options derived from ``hivejdbc.HiveArgParser`` :type args: pyjdbc.connect.ConnectArguments :return: db-api-2 connection instance :rtype: pyjdbc.dbapi.JdbcConnection
def get_connection(self, driver_class: JClass, args: ConnectArguments): """ Hive specific implementation of JdbcConnection setup When this method is called the jvm has been started, and the driver_class has been found see: https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients :param driver_class: HiveDriver `JClass` reference :type driver_class: org.apache.hive.jdbc.HiveDriver :param args: Connection arguments containing options derived from ``hivejdbc.HiveArgParser`` :type args: pyjdbc.connect.ConnectArguments :return: db-api-2 connection instance :rtype: pyjdbc.dbapi.JdbcConnection """ log = logging.getLogger(self.__class__.__name__) if ',' not in args.host: check_server(args.host, args.port) HiveDriver = driver_class java_props = Properties.from_dict(args.properties or {}) options = [] # Create the Connection String based on Arguments host_part = 'jdbc:hive2://{host}:{port}/{database}'.format(host=args.host, port=args.port, database=args.database) options.append(host_part) # -- all options after the database are called "session-variables" ------------------------ # Configure initFile - must be the first option in session-vars if args.get('init_file'): options.append('initFile={}'.format(args.init_file)) # username/password support - note that user can be given without password for unsecured hive servers if args.get('user'): options.append('user={}'.format(args.user)) if args.get('password'): options.append('password={}'.format(args.password)) # Configure transport mode if args.get('transport'): options.append('transportMode={}'.format(args.transport)) # Configure SSL options if args.get('ssl'): options.append('ssl=true') if args.get('trust_store'): options.append('sslTrustStore={}'.format(args.trust_store)) if args.get('trust_password'): options.append('trustStorePassword={}'.format(args.trust_password)) # Configure Kerberos if given if args.get('principal'): options.append('principal={}'.format(args.principal)) if args.get('transport') == 'http' and args.get('http_path'): options.append('httpPath={}'.format(args.http_path)) if args.get('service_discovery_mode'): options.append('serviceDiscoveryMode={}'.format(args.service_discovery_mode)) options.append('zooKeeperNamespace={}'.format(args.zookeeper_namespace)) conn_str = ';'.join(options) #if args.get('user_keytab'): # self.kerberos_login(args) log.debug('hive connection string: %s', conn_str) # TODO make secure hive_driver = HiveDriver() try: # connect(String url, Properties info) java_conn = hive_driver.connect(conn_str, java_props) except JClass('java.sql.SQLException') as e: # TODO self.handle_exception(e) raise return JdbcConnection(connection=java_conn, cursor_class=self.cursor_class, type_conversion=self.type_conversion())
(self, driver_class: jpype._jclass.JClass, args: pyjdbc.connect.ConnectArguments)
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714,070
hivejdbc
handle_args
Handle args is called before the JVM is started :param args: :return:
def handle_args(self, args: ConnectArguments): """ Handle args is called before the JVM is started :param args: :return: """ # set driver path from connect function argument `driver` driver_path = args.get('driver') self.driver_path = abspath(driver_path) if driver_path else None # override the cursor class if requested. if args.get('cursor'): self.cursor_class = args.get('cursor') # handle various ways kerberos can be configured: if args.get('principal'): # kerberos is method of auth if args.get('user_keytab'): # if user_keytab is set, this means we are expected to perform the kerberos authentication. # we'll use jaas to accomplish this. kerberos.configure_jaas(use_password=False, no_prompt=True, use_ticket_cache=False, principal=args.user_principal, keytab=args.user_keytab) elif args.get('principal'): # If principal is set, but user_keytab is not set, this means we're just looking for an existing # kinit session to authenticate # this jaas configuration DOES NOT PROMPT for username/password # but looks for an existing kerberos ticket created by the operating system or `kinit` kerberos.configure_jaas(use_password=False, no_prompt=True, use_ticket_cache=True) else: pass if not Jvm.is_running(): # we don't want to see warnings about log4j not being configured, so we'll disable the log4j logger # this will not prevent other log messages from appearing in stdout Jvm.add_argument('org.apache.logging.log4j.simplelog.StatusLogger.level', '-Dorg.apache.logging.log4j.simplelog.StatusLogger.level=OFF') else: System.set_property('org.apache.logging.log4j.simplelog.StatusLogger.level', 'OFF') # if the realm is not set try to set it from the principal if args.get('kdc') and not args.get('realm'): args.realm = (kerberos.realm_from_principal(args.principal) or kerberos.realm_from_principal(args.get('user_principal', ''))) if not args.realm: raise ValueError('Argument "realm" must be set if "kdc" is set, either explicitly or in ' 'the principal name') if args.get('kdc') and args.get('realm'): # set the realm if not Jvm.is_running(): Jvm.add_argument('java.security.krb5.realm', '-Djava.security.krb5.realm={}'.format(args.realm)) else: System.set_property('java.security.krb5.realm', args.realm)
(self, args: pyjdbc.connect.ConnectArguments)
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714,071
hivejdbc
handle_exception
Looks for known exceptions and raises more useful errors. :param exc: :return:
def handle_exception(self, exc): """ Looks for known exceptions and raises more useful errors. :param exc: :return: """ # TODO handle known exceptions # resolve the exception hierarchy so we can search through all exception messages. hierarchy = [] cause = exc while True: cause = getattr(cause, '__cause__', None) if not cause: break else: hierarchy.append(cause)
(self, exc)
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714,072
hivejdbc
handle_missing_kerberos_ticket
null
def handle_missing_kerberos_ticket(self, exc): pass
(self, exc)
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714,075
hivejdbc.types
HiveTypeConversion
null
class HiveTypeConversion(JdbcTypeConversion): @jdbctype(getter='getString', setter='setString', pytype=list) def ARRAY(self, value): return self.json_str(value) @jdbctype(getter='getString', setter='setString', pytype=dict) def STRUCT(self, value): return self.json_str(value) @jdbctype(getter='getString', setter='setString', pytype=dict) def MAP(self, value): return self.json_str(value) def json_str(self, value): """ Hive does not support ResultSet.getArray() - instead you must decode arrays manually. the string returned is valid json see: https://github.com/apache/hive/blob/master/jdbc/src/java/org/apache/hive/jdbc/HiveBaseResultSet.java#L556 """ value = str(value) if not value.strip(): return None try: return json.loads(value) except json.JSONDecodeError as e: raise ValueError('unable to decode Hive json string: {}\nColumn Value:\n{}'.format(e, value))
()
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714,076
hivejdbc.types
ARRAY
null
@jdbctype(getter='getString', setter='setString', pytype=list) def ARRAY(self, value): return self.json_str(value)
(self, value)
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714,077
pyjdbc.types
DATE
null
@jdbctype(getter='getDate', setter='setDate', pytype=datetime.datetime) def DATE(self, value): # The following code requires Python 3.3+ on dates before year 1900. dt = datetime.datetime.strptime(str(value)[:10], "%Y-%m-%d") return dt.strftime("%Y-%m-%d")
(self, value)
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714,078
pyjdbc.types
DECIMAL
null
@jdbctype(getter='getObject', setter='setDecimal') def DECIMAL(self, value): return self.decimal_and_numeric(value)
(self, value)
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714,079
hivejdbc.types
MAP
null
@jdbctype(getter='getString', setter='setString', pytype=dict) def MAP(self, value): return self.json_str(value)
(self, value)
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714,080
pyjdbc.types
NUMERIC
null
@jdbctype(getter='getObject', setter='setNumeric') def NUMERIC(self, value): return self.decimal_and_numeric(value)
(self, value)
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714,081
hivejdbc.types
STRUCT
null
@jdbctype(getter='getString', setter='setString', pytype=dict) def STRUCT(self, value): return self.json_str(value)
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714,082
pyjdbc.types
TIME
null
@jdbctype(getter='getTime', setter='setTime', pytype=datetime.time) def TIME(self, value): # Jdbc Time format is in: hh:mm:ss time_str = value.toString() return datetime.time.strptime(time_str, "%H:%M:%S")
(self, value)
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714,083
pyjdbc.types
TIMESTAMP
null
@jdbctype(getter='getTimestamp', setter='setTimestamp', pytype=datetime.datetime) def TIMESTAMP(self, value): dt = datetime.datetime.strptime(str(value)[:19], "%Y-%m-%d %H:%M:%S") dt = dt.replace(microsecond=int(str(value.getNanos())[:6])) return dt
(self, value)
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714,084
pyjdbc.types
__init__
null
def __init__(self): self._jdbc_types = {} self._configure_jdbc()
(self)
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714,085
pyjdbc.types
_configure_jdbc
null
def _configure_jdbc(self): for cls in reversed(type(self).mro()): for obj_name, obj in cls.__dict__.items(): jdbc = getattr(obj, '_jdbctype', None) if isinstance(obj, JdbcType): jdbc = obj elif not jdbc or not isinstance(jdbc, JdbcType): continue # if the argument has no name, the property that defines it is the name if not jdbc.name: jdbc.name = obj_name self._jdbc_types[jdbc.name] = jdbc
(self)
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714,086
pyjdbc.types
decimal_and_numeric
null
def decimal_and_numeric(self, value): if hasattr(value, 'scale'): scale = value.scale() if scale == 0: return int(value.longValue()) else: return Decimal(value.doubleValue()) else: return Decimal(value)
(self, value)
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714,087
pyjdbc.types
jdbc_name
Given a jdbc type code return the type name :param jdbc_code: :return:
def jdbc_name(self, jdbc_code): """ Given a jdbc type code return the type name :param jdbc_code: :return: """ try: type_name = str(JClass('java.sql.JDBCType').valueOf(jdbc_code)).upper() except Exception as e: raise ValueError('unable to resolve jdbc type code: {}'.format(jdbc_code)) from e return type_name
(self, jdbc_code)
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714,088
pyjdbc.types
jdbc_type
:param jdbc_name: the jdbc type name (capitalized) :param default: default value to return if jdbc type isn't matched :return: JdbcType object that contains type mapping logic :rtype: JdbcType
def jdbc_type(self, jdbc_name, default=None): """ :param jdbc_name: the jdbc type name (capitalized) :param default: default value to return if jdbc type isn't matched :return: JdbcType object that contains type mapping logic :rtype: JdbcType """ return self._jdbc_types.get(jdbc_name, default)
(self, jdbc_name, default=None)
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714,089
pyjdbc.types
jdbc_value
Convert a python value to a JDBC value :param pyvalue: :param resultset: :param jdbc_code: :param jdbc_name: :return:
def jdbc_value(self, pyvalue, resultset, jdbc_code, jdbc_name): """ Convert a python value to a JDBC value :param pyvalue: :param resultset: :param jdbc_code: :param jdbc_name: :return: """ return
(self, pyvalue, resultset, jdbc_code, jdbc_name)
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714,090
hivejdbc.types
json_str
Hive does not support ResultSet.getArray() - instead you must decode arrays manually. the string returned is valid json see: https://github.com/apache/hive/blob/master/jdbc/src/java/org/apache/hive/jdbc/HiveBaseResultSet.java#L556
def json_str(self, value): """ Hive does not support ResultSet.getArray() - instead you must decode arrays manually. the string returned is valid json see: https://github.com/apache/hive/blob/master/jdbc/src/java/org/apache/hive/jdbc/HiveBaseResultSet.java#L556 """ value = str(value) if not value.strip(): return None try: return json.loads(value) except json.JSONDecodeError as e: raise ValueError('unable to decode Hive json string: {}\nColumn Value:\n{}'.format(e, value))
(self, value)
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714,091
pyjdbc.types
py_type
Get the python type associated with the given jdbc_type :param jdbc_code: :param jdbc_name: :return:
def py_type(self, jdbc_code=None, jdbc_name=None): """ Get the python type associated with the given jdbc_type :param jdbc_code: :param jdbc_name: :return: """ if jdbc_code is not None: type_name = self.jdbc_name(jdbc_code) elif jdbc_name is not None: type_name = jdbc_name.upper() else: raise ValueError('one of `jdbc_code` or `jdbc_name` must be provided') mapper = self.jdbc_type(type_name, self.JDBC_DEFAULT) return mapper.pytype
(self, jdbc_code=None, jdbc_name=None)
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714,092
pyjdbc.types
py_value
Retrieve the python value for the given type :param resultset: Java ResultSet object :param column: Column index to retrieve value from :param jdbc_code: JDBCType code :param jdbc_name: JDBCType name (optional) :return:
def py_value(self, resultset, column_idx, jdbc_code=None, jdbc_name=None): """ Retrieve the python value for the given type :param resultset: Java ResultSet object :param column: Column index to retrieve value from :param jdbc_code: JDBCType code :param jdbc_name: JDBCType name (optional) :return: """ # if the value is null return None if resultset.wasNull(): return if not isinstance(column_idx, int): raise ValueError('"column" invalid type, expected `int` got: {}'.format(type(column_idx))) if column_idx < 1: raise ValueError('"column" invalid value: {} - jdbc columns must be 1 or greater'.format(column_idx)) if jdbc_code is not None: type_name = self.jdbc_name(jdbc_code) elif jdbc_name is not None: type_name = jdbc_name.upper() else: raise ValueError('one of `jdbc_code` or `jdbc_name` must be provided') # get "converter" the JdbcType object that will inform us how to map this value to python converter = self.jdbc_type(type_name, self.JDBC_DEFAULT) if converter.resultset: # if resultset is true, this means the function signature should pass (resultset, column-index) if not callable(converter.fn): raise ValueError('JdbcType "{}" has no function associated, but resultset=True'.format(converter.name)) try: if converter.decorator: return converter.fn(self, resultset, column_idx) else: return converter.fn(resultset, column_idx) except Exception as e: raise ValueError('error converting "{}" to "{}" - via resultset function: "{}", Error: {}'.format( type_name, converter.pytype, converter.name, e )) from e else: # it's our responsibility to use the "getter" to retrieve the value automatically try: get_value = getattr(resultset, converter.getter) except Exception as e: raise AttributeError('JdbcType: {} - unable to find method named {}'.format( type_name, converter.getter )) from e try: jdbc_value = get_value(column_idx) except Exception as e: raise AttributeError('JdbcType: {} - unable to get value via {} - {}'.format( type_name, converter.getter, str(e) )) from e # if the value is null return None if resultset.wasNull() or jdbc_value is None: return # call the conversion function if its been set. if converter.fn is not None: if converter.decorator: jdbc_value = converter.fn(self, jdbc_value) else: jdbc_value = converter.fn(jdbc_value) # don't try to apply a type if the type is set to "object" or if its None # object means "any type" elif converter.pytype is not None and converter.pytype is not object: try: if callable(converter.pytype): jdbc_value = converter.pytype(jdbc_value) if not isinstance(jdbc_value, converter.pytype): raise ValueError('unexpected type {}, expected: {}'.format(type(jdbc_value)), converter.pytype) except Exception as e: raise ValueError('error converting "{}" to "{}" - {}'.format( type_name, converter.pytype, e )) from e return jdbc_value
(self, resultset, column_idx, jdbc_code=None, jdbc_name=None)
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714,093
jpype._jclass
JClass
Meta class for all Java class instances. When called as an object, JClass will contruct a new Java class wrapper. All Python wrappers for Java classes derive from this type. To test if a Python class is a Java wrapper use ``isinstance(obj, jpype.JClass)``. Args: className (str): name of a Java type. Keyword Args: loader (java.lang.ClassLoader): specifies a class loader to use when creating a class. initialize (bool): If true the class will be loaded and initialized. Otherwise, static members will be uninitialized. Returns: JavaClass: a new wrapper for a Java class Raises: TypeError: if the component class is invalid or could not be found.
class JClass(_jpype._JClass, metaclass=JClassMeta): """Meta class for all Java class instances. When called as an object, JClass will contruct a new Java class wrapper. All Python wrappers for Java classes derive from this type. To test if a Python class is a Java wrapper use ``isinstance(obj, jpype.JClass)``. Args: className (str): name of a Java type. Keyword Args: loader (java.lang.ClassLoader): specifies a class loader to use when creating a class. initialize (bool): If true the class will be loaded and initialized. Otherwise, static members will be uninitialized. Returns: JavaClass: a new wrapper for a Java class Raises: TypeError: if the component class is invalid or could not be found. """ def __new__(cls, jc, loader=None, initialize=True): if loader and isinstance(jc, str): jc = _jpype._java_lang_Class.forName(jc, initialize, loader) # Handle generics if isinstance(jc, str) and jc.endswith(">"): i = jc.find("<") params = jc[i + 1:-1] ret = _jpype._getClass(jc[:i]) acceptParams = len(ret.class_.getTypeParameters()) if acceptParams == 0: raise TypeError( "Java class '%s' does not take parameters" % (ret.__name__)) if len(params) > 0: params = params.split(',') if len(params) > 0 and len(params) != len(ret.class_.getTypeParameters()): raise TypeError( "Java generic class '%s' length mismatch" % (ret.__name__)) return ret # Pass to class factory to create the type return _jpype._getClass(jc)
(jc, loader=None, initialize=True)
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714,094
jpype._jclass
__new__
null
def __new__(cls, jc, loader=None, initialize=True): if loader and isinstance(jc, str): jc = _jpype._java_lang_Class.forName(jc, initialize, loader) # Handle generics if isinstance(jc, str) and jc.endswith(">"): i = jc.find("<") params = jc[i + 1:-1] ret = _jpype._getClass(jc[:i]) acceptParams = len(ret.class_.getTypeParameters()) if acceptParams == 0: raise TypeError( "Java class '%s' does not take parameters" % (ret.__name__)) if len(params) > 0: params = params.split(',') if len(params) > 0 and len(params) != len(ret.class_.getTypeParameters()): raise TypeError( "Java generic class '%s' length mismatch" % (ret.__name__)) return ret # Pass to class factory to create the type return _jpype._getClass(jc)
(cls, jc, loader=None, initialize=True)
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714,095
pyjdbc.dbapi
JdbcConnection
null
class JdbcConnection: def __init__(self, connection, cursor_class, type_conversion=None): """ :param connection: java.sql.Connection :param cursor_class: pyjdbc.dbapi.JdbcCursor or subclass :param type_conversion: """ self._connection = connection self._cursor_class = cursor_class self._type_conversion = type_conversion if not issubclass(cursor_class, JdbcCursor): raise ValueError('"cursor_class" must be instance of {}, got: {}, {}'.format( JdbcCursor.__name__, type(cursor_class), getattr(cursor_class, '__name__') )) if not isinstance(type_conversion, JdbcTypeConversion): raise ValueError('"type_conversion" must be instance of {}, got: {}'.format( JdbcTypeConversion.__name__, type(type_conversion) )) def is_closed(self): return self._connection.isClosed() def jdbc_connection(self): return self._connection def close(self): if self._connection.isClosed(): raise Error('Connection already closed') self._connection.close() def commit(self): # TODO exception handling self._connection.commit() def rollback(self): # TODO exception handling self._connection.rollback() def cursor(self): """ Create a new cursor :return: :rtype: JdbcCursor """ return self._cursor_class(self, self._type_conversion) def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close()
(connection, cursor_class, type_conversion=None)
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714,098
pyjdbc.dbapi
__init__
:param connection: java.sql.Connection :param cursor_class: pyjdbc.dbapi.JdbcCursor or subclass :param type_conversion:
def __init__(self, connection, cursor_class, type_conversion=None): """ :param connection: java.sql.Connection :param cursor_class: pyjdbc.dbapi.JdbcCursor or subclass :param type_conversion: """ self._connection = connection self._cursor_class = cursor_class self._type_conversion = type_conversion if not issubclass(cursor_class, JdbcCursor): raise ValueError('"cursor_class" must be instance of {}, got: {}, {}'.format( JdbcCursor.__name__, type(cursor_class), getattr(cursor_class, '__name__') )) if not isinstance(type_conversion, JdbcTypeConversion): raise ValueError('"type_conversion" must be instance of {}, got: {}'.format( JdbcTypeConversion.__name__, type(type_conversion) ))
(self, connection, cursor_class, type_conversion=None)
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714,099
pyjdbc.dbapi
close
null
def close(self): if self._connection.isClosed(): raise Error('Connection already closed') self._connection.close()
(self)
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714,100
pyjdbc.dbapi
commit
null
def commit(self): # TODO exception handling self._connection.commit()
(self)
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714,101
pyjdbc.dbapi
cursor
Create a new cursor :return: :rtype: JdbcCursor
def cursor(self): """ Create a new cursor :return: :rtype: JdbcCursor """ return self._cursor_class(self, self._type_conversion)
(self)
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714,102
pyjdbc.dbapi
is_closed
null
def is_closed(self): return self._connection.isClosed()
(self)
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714,103
pyjdbc.dbapi
jdbc_connection
null
def jdbc_connection(self): return self._connection
(self)
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714,104
pyjdbc.dbapi
rollback
null
def rollback(self): # TODO exception handling self._connection.rollback()
(self)
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714,105
pyjdbc.dbapi
JdbcCursor
null
class JdbcCursor: batch_size = 1 def __init__(self, connection: JdbcConnection, type_conversion, rowcounts=True): self._connection = connection self._type_conversion = type_conversion self._description = None self._metadata = None self._statement = None self._resultset = None self._rowcount = -1 self._get_rowcounts = rowcounts if not isinstance(connection, JdbcConnection): raise ValueError('"connection" arg must be instance of {}'.format(str(JdbcConnection))) @property def rowcount(self): """ cursor rowcount returns -1 for unknown rowcount :return: rowcount :rtype: int """ return self._rowcount @property def column_names(self): """ By default jdbc drivers return prefixed column names Returns non-prefixed column names, preserves prefix only when ambiguity exists :return: """ if not self._metadata: return None meta = self._metadata columns = range(1, meta.getColumnCount() + 1) names = [str(meta.getColumnName(col)) for col in columns] if not names: return # detect common prefix - if all columns are prefixed with the same table-name, remove that # prefix. There can be no ambiguity so the prefix is not needed. if '.' in names[0]: prefix = names[0].split('.', 1)[-1] + '.' if all([n.startswith(prefix) for n in names]): names = [names.replace(prefix, '', 1)] else: # it's also possible all the column names are unique without a prefix no_prefix = [n.split('.', 1)[1] for n in names] if len(set(no_prefix)) == len(names): names = no_prefix return names @property def description(self): if self._description: return self._description if not self._metadata: return meta = self._metadata count = meta.getColumnCount() self._description = [] for col in range(1, count + 1): size = meta.getColumnDisplaySize(col) jdbc_type = meta.getColumnType(col) if jdbc_type == 0: # NULL type_desc = 'NULL' else: dbapi_type = self._type_conversion.py_type(jdbc_type) dbapi_type_str = getattr(dbapi_type, '__name__', None) or str(dbapi_type) jdbc_type_name = (self._type_conversion.jdbc_name(jdbc_type) or str(meta.getColumnTypeName(col)).upper()) type_desc = '{} - JDBC:{}'.format(dbapi_type_str, jdbc_type_name) # some drivers return Integer.MAX_VALUE when the metadata is not present max_int = JClass('java.lang.Integer').MAX_VALUE size = size if size != max_int else None precision = meta.getPrecision(col) precision = precision if precision != max_int else None scale = meta.getScale(col) scale = scale if scale != max_int else None col_desc = (meta.getColumnName(col), # name type_desc, # type_code size, # display_size size, # internal_size precision, # precision scale, # scale meta.isNullable(col)) # null_ok self._description.append(col_desc) return self._description def _clear_metadata(self): self._metadata = None self._description = None def _clear_connection(self): self._connection = None def _close_statement(self): if self._statement: self._statement.close() self._statement = None def _close_resultset(self): if self._resultset_valid(): self._resultset.close() self._resultset = None def _connection_valid(self): return not self._connection.is_closed() def _resultset_valid(self): return bool(self._resultset) def close(self): """ close the cursor, the cursor cannot be used again. :return: """ # close all open resources. self._clear_connection() self._clear_metadata() try: self._close_statement() except Exception: pass try: self._close_resultset() except Exception: pass def _reset(self): # close any previously used resources self._clear_metadata() self._close_statement() self._close_resultset() def _warnings(self): if not self._resultset_valid(): return '' warning = self._resultset.getWarnings() if not warning: return '' try: return 'cursor warning: {}'.format(str(warning.getMessage())) except Exception: return '' def _check_params(self, params): if isinstance(params, dict): return if not isinstance(params, Sequence) or isinstance(params, (str, bytes)): raise ValueError('parameters must be a sequence or a dictionary, got: {}'.format(type(params))) def _parse_params(self, sql, params): """ Parse %s style or ":name" style parameters. If use :name style parameters, ``params`` must be a dictionary. :param sql: sql statement :param params: parameters (sequence or dictionary) :return: """ if not params: raise ValueError('params must be `None` or a non empty sequence or dictionary, got: {}'.format(params)) orig_params = copy(params) self._check_params(params) if isinstance(params, dict): try: # convert ":param" to ? parameters query = sqlparams.SQLParams('named', 'qmark') operation, params = query.format(sql, params) except KeyError as e: key = e.args[0] raise ValueError('":{}" is missing from parameters template in statement: "{}"' '\nParameters: {}'.format(key, sql, dict(orig_params))) # sqlparams will not check for un-consumed keyword parameters # this is an error because the user is passing in arguments that are not being used by the query if len(params) < len(orig_params): missing = ['":{}"'.format(key) for key in orig_params if ':{}'.format(key) not in sql] raise ValueError('sql statement is missing named template paramaters:\n ({})\n' 'given paramaters:\n {}\n' 'in query:\n{}'.format( ', '.join(map(str, missing)), str(dict(orig_params)), textwrap.indent(sql.strip(), ' '*4))) else: try: # convert %s to ? parameters query = sqlparams.SQLParams('format', 'qmark') operation, params = query.format(sql, params) except IndexError as e: fmt_count = sql.count('%s') raise ValueError('`params` contains incorrect number of arguments for "%s"' 'templates in query.\n' 'expected: [{}] arguments, got: [{}]'.format(fmt_count, len(params))) # sqlparams will not check for un-consumed or un-needed positional parameters extra_args = len(orig_params) - len(params) if extra_args: raise ValueError('`params` contains {} more elements than were consumed by query templates:\n{}\n' 'arguments given: [{}]\nunused: [{}]'.format( extra_args, textwrap.indent(sql.strip(), ' '*4),
(connection: pyjdbc.dbapi.JdbcConnection, type_conversion, rowcounts=True)
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714,125
pyjdbc.dbapi
fetchone
null
def fetchone(self): if not self._resultset_valid(): raise DatabaseError('result set is no longer valid ' + self._warnings()) if not self._resultset.next(): return None # end of result set row = [] num_cols = self._metadata.getColumnCount() for column_number in range(1, num_cols + 1): jdbc_type = self._metadata.getColumnType(column_number) pyvalue = self._type_conversion.py_value(self._resultset, column_idx=column_number, jdbc_code=jdbc_type) row.append(pyvalue) return tuple(row)
(self)
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714,126
pyjdbc.dbapi
JdbcDictCursor
null
class JdbcDictCursor(JdbcCursor): def fetchone(self): row = super().fetchone() if row: names = self.column_names return dict(zip(names, row))
(connection: pyjdbc.dbapi.JdbcConnection, type_conversion, rowcounts=True)
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714,147
pyjdbc.java
Jvm
null
class Jvm: ARGS = {} @classmethod def add_argument(cls, identifier, option): """ Add an argument to the jvm, (this must be used BEFORE the jvm is started) If the jvm is already running RuntimeError will be raised Set a jvm argument, examples include: -Xmx1099m -Djava.class.path=PATH_TO_JAR :param identifier: a string identifier so Jvm options aren't duplicated: ie: ``javax.net.ssl.trustStore`` :type identifier: str :param option: the full jvm option argument, ie: ``-Djavax.net.ssl.trustStore=trust.jks`` :type option: str :raises: RuntimeError :return: """ if cls.is_running(): raise RuntimeError('The JVM has been started, any options set after the JVM is started will have no ' 'effect.\n' 'Set jvm options before acquiring any connections with `pyjdbc`') if not any((option.startswith('-D'), option.startswith('-X'))): raise ValueError('invalid argument "option": {}, jvm arguments must start with "-D" or "-X" \n' 'Examples:\n' ' -Xmx1099m\n', ' -Djavax.net.ssl.trustStore=trust.jks'.format(option)) cls.ARGS[identifier] = option @classmethod def start(cls): # start the jvm jpype.startJVM(*cls.ARGS.values(), interrupt=True) @staticmethod def stop(): jpype.shutdownJVM() @staticmethod def is_running(): return jpype.isJVMStarted() @classmethod def check_running(cls): if cls.is_running(): raise RuntimeError('The jvm is already running') @staticmethod def path(): return jpype.getDefaultJVMPath() @staticmethod def version(): return jpype.getJVMVersion()
()
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714,148
pyjdbc.java
is_running
null
@staticmethod def is_running(): return jpype.isJVMStarted()
()
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714,149
pyjdbc.java
path
null
@staticmethod def path(): return jpype.getDefaultJVMPath()
()
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714,150
pyjdbc.java
stop
null
@staticmethod def stop(): jpype.shutdownJVM()
()
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714,151
pyjdbc.java
version
null
@staticmethod def version(): return jpype.getJVMVersion()
()
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714,152
pyjdbc.java
Properties
null
class Properties: PROPERTIES_CLASS = 'java.util.Properties' @classmethod def from_dict(cls, dictionary): JProperties = JClass(cls.PROPERTIES_CLASS) jprops = JProperties() for k, v in dictionary.items(): if not isinstance(k, str): raise ValueError('[{}] keys must be strings, got: {}'.format(cls.PROPERTIES_CLASS, type(k))) jprops.setProperty(k, v) return jprops @classmethod def from_tuple(cls, sequence): as_dict = dict(sequence) return cls.from_dict(as_dict) @staticmethod def to_dict(properties): keys = properties.stringPropertyNames() dictionary = {key: properties.getProperty(key) for key in keys} return dictionary @staticmethod def to_tuple(properties): keys = properties.stringPropertyNames() sequence = [(key, properties.getProperty(key)) for key in keys] return sequence
()
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714,153
pyjdbc.java
to_dict
null
@staticmethod def to_dict(properties): keys = properties.stringPropertyNames() dictionary = {key: properties.getProperty(key) for key in keys} return dictionary
(properties)
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714,154
pyjdbc.java
to_tuple
null
@staticmethod def to_tuple(properties): keys = properties.stringPropertyNames() sequence = [(key, properties.getProperty(key)) for key in keys] return sequence
(properties)
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714,155
pyjdbc.java
System
Wrapper around java.lang.System
class System: """ Wrapper around java.lang.System """ @staticmethod def _system(): return JClass('java.lang.System') @classmethod def get_property(cls, name): return cls._system().getProperty(name) @classmethod def set_property(cls, name, value): cls._system().setProperty(name, value) @classmethod def clear_property(cls, name): return cls._system().clearProperty(name) @classmethod def get_env(cls, name): return cls._system().getenv(name)
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714,156
pyjdbc.java
_system
null
@staticmethod def _system(): return JClass('java.lang.System')
()
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714,158
hivejdbc
check_server
null
def check_server(hostname, port): s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: ipaddress.ip_address(hostname) except ValueError: try: address = socket.gethostbyname(hostname.strip()) except socket.gaierror as e: raise Error('Hive server at "{}:{}" is not reachable - {}'.format(hostname, port, e)) else: address = hostname try: s.connect((address, int(port))) s.shutdown(2) except Exception as e: raise Error('No Hive server is listening at "{}:{}" - {}'.format(hostname, port, e))
(hostname, port)
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714,170
apispec_oneofschema.plugin
MarshmallowPlugin
null
class MarshmallowPlugin(marshmallow.MarshmallowPlugin): Converter = OneofOpenAPIConverter
(schema_name_resolver: 'typing.Callable[[type[Schema]], str] | None' = None) -> 'None'
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714,171
apispec.ext.marshmallow
__init__
null
def __init__( self, schema_name_resolver: typing.Callable[[type[Schema]], str] | None = None, ) -> None: super().__init__() self.schema_name_resolver = schema_name_resolver or resolver self.spec: APISpec | None = None self.openapi_version: Version | None = None self.converter: OpenAPIConverter | None = None self.resolver: SchemaResolver | None = None
(self, schema_name_resolver: Optional[Callable[[type[marshmallow.schema.Schema]], str]] = None) -> NoneType
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714,172
apispec.ext.marshmallow
header_helper
Header component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in header definition. :param dict header: header fields. May contain a marshmallow Schema class or instance.
def header_helper(self, header: dict, **kwargs: typing.Any): """Header component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in header definition. :param dict header: header fields. May contain a marshmallow Schema class or instance. """ assert self.resolver # needed for mypy self.resolver.resolve_schema(header) return header
(self, header: dict, **kwargs: Any)
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714,173
apispec.ext.marshmallow
init_spec
null
def init_spec(self, spec: APISpec) -> None: super().init_spec(spec) self.spec = spec self.openapi_version = spec.openapi_version self.converter = self.Converter( openapi_version=spec.openapi_version, schema_name_resolver=self.schema_name_resolver, spec=spec, ) self.resolver = self.Resolver( openapi_version=spec.openapi_version, converter=self.converter )
(self, spec: apispec.core.APISpec) -> NoneType
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714,174
apispec.ext.marshmallow
map_to_openapi_type
Set mapping for custom field class. :param type field_cls: Field class to set mapping for. ``*args`` can be: - a pair of the form ``(type, format)`` - a core marshmallow field type (in which case we reuse that type's mapping) Examples: :: # Override Integer mapping class Int32(Integer): # ... ma_plugin.map_to_openapi_type(Int32, 'string', 'int32') # Map to ('integer', None) like Integer class IntegerLike(Integer): # ... ma_plugin.map_to_openapi_type(IntegerLike, Integer)
def map_to_openapi_type(self, field_cls, *args): """Set mapping for custom field class. :param type field_cls: Field class to set mapping for. ``*args`` can be: - a pair of the form ``(type, format)`` - a core marshmallow field type (in which case we reuse that type's mapping) Examples: :: # Override Integer mapping class Int32(Integer): # ... ma_plugin.map_to_openapi_type(Int32, 'string', 'int32') # Map to ('integer', None) like Integer class IntegerLike(Integer): # ... ma_plugin.map_to_openapi_type(IntegerLike, Integer) """ assert self.converter is not None, "init_spec has not yet been called" return self.converter.map_to_openapi_type(field_cls, *args)
(self, field_cls, *args)
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714,175
apispec.ext.marshmallow
operation_helper
null
def operation_helper( self, path: str | None = None, operations: dict | None = None, **kwargs: typing.Any, ) -> None: assert self.resolver # needed for mypy self.resolver.resolve_operations(operations)
(self, path: Optional[str] = None, operations: Optional[dict] = None, **kwargs: Any) -> NoneType
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714,176
apispec.ext.marshmallow
parameter_helper
Parameter component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in parameter definition. :param dict parameter: parameter fields. May contain a marshmallow Schema class or instance.
def parameter_helper(self, parameter, **kwargs): """Parameter component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in parameter definition. :param dict parameter: parameter fields. May contain a marshmallow Schema class or instance. """ assert self.resolver is not None, "init_spec has not yet been called" self.resolver.resolve_schema(parameter) return parameter
(self, parameter, **kwargs)
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714,178
apispec.ext.marshmallow
response_helper
Response component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in response definition. :param dict parameter: response fields. May contain a marshmallow Schema class or instance.
def response_helper(self, response, **kwargs): """Response component helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` in response definition. :param dict parameter: response fields. May contain a marshmallow Schema class or instance. """ assert self.resolver is not None, "init_spec has not yet been called" self.resolver.resolve_response(response) return response
(self, response, **kwargs)
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714,179
apispec.ext.marshmallow
schema_helper
Definition helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` to provide OpenAPI metadata. :param type|Schema schema: A marshmallow Schema class or instance.
def schema_helper(self, name, _, schema=None, **kwargs): """Definition helper that allows using a marshmallow :class:`Schema <marshmallow.Schema>` to provide OpenAPI metadata. :param type|Schema schema: A marshmallow Schema class or instance. """ if schema is None: return None schema_instance = resolve_schema_instance(schema) schema_key = make_schema_key(schema_instance) self.warn_if_schema_already_in_spec(schema_key) assert self.converter is not None, "init_spec has not yet been called" self.converter.refs[schema_key] = name json_schema = self.converter.schema2jsonschema(schema_instance) return json_schema
(self, name, _, schema=None, **kwargs)
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714,180
apispec.ext.marshmallow
warn_if_schema_already_in_spec
Method to warn the user if the schema has already been added to the spec.
def warn_if_schema_already_in_spec(self, schema_key: tuple) -> None: """Method to warn the user if the schema has already been added to the spec. """ assert self.converter # needed for mypy if schema_key in self.converter.refs: warnings.warn( f"{schema_key[0]} has already been added to the spec. Adding it twice may " "cause references to not resolve properly.", UserWarning, stacklevel=2, )
(self, schema_key: tuple) -> NoneType
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