系统 fedora
一、首先安装pip
先安装setuptools
到http://pypi.python.org/pypi/setuptools#cygwin-mac-os-x-linux-other下载
sh setuptools-0.6c9-py2.4.egg
到http://pypi.python.org/pypi/pip#downloads下载
解压好之后
$ cd pip-1.0
$ python setup.py install # mayneed to be root
至此 pip安装完毕
二、安装Thrift
先安装gcc-c++
Yum –y installgcc-c++
下载thrift-0.8.0.tar.gz
解压到thrift-0.8.0
进入thrift-0.8.0
./configure
Make
Make install
至此，thrift安装完毕
三、安装pycassa
输入命令pip install pycassa 就可以安装pycassa了
到pycassa-1.5.1目录下
运行pycassaShell（pycassaShell is an interactive Python shell that isincluded with pycassa.）
即 $ ./pycassaShell
>>>SYSTEM_MANAGER.create_keyspace('Keyspace1', strategy_options={"replication_factor":"1"})
>>>SYSTEM_MANAGER.create_column_family('Keyspace1','ColumnFamily1')
>>>frompycassa.poolimport ConnectionPool
>>>pool = ConnectionPool('Keyspace1')
>>>frompycassa.poolimport ConnectionPool
>>>frompycassa.columnfamilyimport ColumnFamily
>>>
>>>pool = ConnectionPool('Keyspace1')
>>>col_fam = pycassa.ColumnFamily(pool,'ColumnFamily1')
>>>col_fam.insert('row_key', {'col_name':'col_val'})
1354459123410932
>>>col_fam.insert('row_key', {'col_name':'col_val','col_name2':'col_val2'})
1354459123410932
>>>col_fam.batch_insert({'row1': {'name1':'val1','name2':'val2'},
... 'row2': {'foo':'bar'}})
1354491238721387
>>>col_fam.get('row_key')
{'col_name': 'col_val','col_name2': 'col_val2'}
>>>for iinrange(1,10):
... col_fam.insert('row_key', {str(i):'val'})
...
1302542571215334
1302542571218485
1302542571220599
1302542571221991
1302542571223388
1302542571224629
1302542571225859
1302542571227029
1302542571228472
>>>col_fam.get('row_key', column_start='5', column_finish='7')
{'5': 'val', '6': 'val','7': 'val'}
>>>col_fam.get_count('row_key')
3
Connection Pooling
>>>pool = pycassa.ConnectionPool('Keyspace1', pool_size=20)
>>>standard_cf = pycassa.ColumnFamily(pool,'Standard1')
>>>standard_cf.insert('key', {'col':'val'})
1354491238782746
>>>super_cf = pycassa.ColumnFamily(pool,'Super1')
>>>super_cf.insert('key2', {'column' : {'col':'val'}})
1354491239779182
>>>standard_cf.get('key')
{'col': 'val'}
>>>pool.dispose()