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io_sql.py
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import sqlalchemy
from .pandas_vb_common import *
import sqlite3
from sqlalchemy import create_engine
class sql_datetime_read_and_parse_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df['datetime_string'] = self.df['datetime'].map(str)
self.df.to_sql('test_type', self.engine, if_exists='replace')
self.df[['float', 'datetime_string']].to_sql('test_type', self.con, if_exists='replace')
def time_sql_datetime_read_and_parse_sqlalchemy(self):
read_sql_table('test_type', self.engine, columns=['datetime_string'], parse_dates=['datetime_string'])
class sql_datetime_read_as_native_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df['datetime_string'] = self.df['datetime'].map(str)
self.df.to_sql('test_type', self.engine, if_exists='replace')
self.df[['float', 'datetime_string']].to_sql('test_type', self.con, if_exists='replace')
def time_sql_datetime_read_as_native_sqlalchemy(self):
read_sql_table('test_type', self.engine, columns=['datetime'])
class sql_datetime_write_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'string': (['foo'] * 10000), 'bool': ([True] * 10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df.loc[1000:3000, 'float'] = np.nan
def time_sql_datetime_write_sqlalchemy(self):
self.df[['datetime']].to_sql('test_datetime', self.engine, if_exists='replace')
class sql_float_read_query_fallback(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df['datetime_string'] = self.df['datetime'].map(str)
self.df.to_sql('test_type', self.engine, if_exists='replace')
self.df[['float', 'datetime_string']].to_sql('test_type', self.con, if_exists='replace')
def time_sql_float_read_query_fallback(self):
read_sql_query('SELECT float FROM test_type', self.con)
class sql_float_read_query_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df['datetime_string'] = self.df['datetime'].map(str)
self.df.to_sql('test_type', self.engine, if_exists='replace')
self.df[['float', 'datetime_string']].to_sql('test_type', self.con, if_exists='replace')
def time_sql_float_read_query_sqlalchemy(self):
read_sql_query('SELECT float FROM test_type', self.engine)
class sql_float_read_table_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df['datetime_string'] = self.df['datetime'].map(str)
self.df.to_sql('test_type', self.engine, if_exists='replace')
self.df[['float', 'datetime_string']].to_sql('test_type', self.con, if_exists='replace')
def time_sql_float_read_table_sqlalchemy(self):
read_sql_table('test_type', self.engine, columns=['float'])
class sql_float_write_fallback(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'string': (['foo'] * 10000), 'bool': ([True] * 10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df.loc[1000:3000, 'float'] = np.nan
def time_sql_float_write_fallback(self):
self.df[['float']].to_sql('test_float', self.con, if_exists='replace')
class sql_float_write_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'string': (['foo'] * 10000), 'bool': ([True] * 10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df.loc[1000:3000, 'float'] = np.nan
def time_sql_float_write_sqlalchemy(self):
self.df[['float']].to_sql('test_float', self.engine, if_exists='replace')
class sql_read_query_fallback(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.index = tm.makeStringIndex(10000)
self.df = DataFrame({'float1': randn(10000), 'float2': randn(10000), 'string1': (['foo'] * 10000), 'bool1': ([True] * 10000), 'int1': np.random.randint(0, 100000, size=10000), }, index=self.index)
self.df.to_sql('test2', self.engine, if_exists='replace')
self.df.to_sql('test2', self.con, if_exists='replace')
def time_sql_read_query_fallback(self):
read_sql_query('SELECT * FROM test2', self.con)
class sql_read_query_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.index = tm.makeStringIndex(10000)
self.df = DataFrame({'float1': randn(10000), 'float2': randn(10000), 'string1': (['foo'] * 10000), 'bool1': ([True] * 10000), 'int1': np.random.randint(0, 100000, size=10000), }, index=self.index)
self.df.to_sql('test2', self.engine, if_exists='replace')
self.df.to_sql('test2', self.con, if_exists='replace')
def time_sql_read_query_sqlalchemy(self):
read_sql_query('SELECT * FROM test2', self.engine)
class sql_read_table_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.index = tm.makeStringIndex(10000)
self.df = DataFrame({'float1': randn(10000), 'float2': randn(10000), 'string1': (['foo'] * 10000), 'bool1': ([True] * 10000), 'int1': np.random.randint(0, 100000, size=10000), }, index=self.index)
self.df.to_sql('test2', self.engine, if_exists='replace')
self.df.to_sql('test2', self.con, if_exists='replace')
def time_sql_read_table_sqlalchemy(self):
read_sql_table('test2', self.engine)
class sql_string_write_fallback(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'string': (['foo'] * 10000), 'bool': ([True] * 10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df.loc[1000:3000, 'float'] = np.nan
def time_sql_string_write_fallback(self):
self.df[['string']].to_sql('test_string', self.con, if_exists='replace')
class sql_string_write_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.df = DataFrame({'float': randn(10000), 'string': (['foo'] * 10000), 'bool': ([True] * 10000), 'datetime': date_range('2000-01-01', periods=10000, freq='s'), })
self.df.loc[1000:3000, 'float'] = np.nan
def time_sql_string_write_sqlalchemy(self):
self.df[['string']].to_sql('test_string', self.engine, if_exists='replace')
class sql_write_fallback(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.index = tm.makeStringIndex(10000)
self.df = DataFrame({'float1': randn(10000), 'float2': randn(10000), 'string1': (['foo'] * 10000), 'bool1': ([True] * 10000), 'int1': np.random.randint(0, 100000, size=10000), }, index=self.index)
def time_sql_write_fallback(self):
self.df.to_sql('test1', self.con, if_exists='replace')
class sql_write_sqlalchemy(object):
goal_time = 0.2
def setup(self):
self.engine = create_engine('sqlite:///:memory:')
self.con = sqlite3.connect(':memory:')
self.index = tm.makeStringIndex(10000)
self.df = DataFrame({'float1': randn(10000), 'float2': randn(10000), 'string1': (['foo'] * 10000), 'bool1': ([True] * 10000), 'int1': np.random.randint(0, 100000, size=10000), }, index=self.index)
def time_sql_write_sqlalchemy(self):
self.df.to_sql('test1', self.engine, if_exists='replace')