> from impala.dbapi import connect
> conn = connect(host='my.impala.host', port=21050)
> cur = conn.cursor()

> cur.execute('SHOW TABLES')
> cur.fetchall()
[('defect_code_dim',), ('gxzl_ca_materialinfo',), ('gxzl_cg_materialinfo',), ('gxzl_defect2',), ('gxzl_defects',), ('gxzl_defects_hd',), ('gxzl_fx_class',), ('gxzl_fx_leftmidright',), ('gxzl_fx_topandbot',), ('gxzl_jiejing_2cc_slab',), ('gxzl_kgx_drw',), ('gxzl_kgx_drw_tmp',), ('gxzl_rz_materialinfo',), ('gxzl_sdbase_defects',), ('gxzl_test',), ('new_table',), ('ouye_transactionlog',), ('ouye_userinfo',), ('simple_test',), ('t0',), ('t_100m_hdfs',), ('t_100m_test',), ('t_10m_hdfs',), ('target1',), ('target2',), ('target3',), ('test',), ('tianchi_mobile_recommend_train_full',), ('tianchi_mobile_recommend_train_item',), ('tianchi_mobile_recommend_train_user',), ('tianchi_mobile_recommend_train_useritem',)]
> cur.execute('SELECT * FROM test')
> cur.description
[('id', 'DOUBLE', None, None, None, None, None), ('name', 'STRING', None, None, None, None, None), ('value', 'STRING', None, None, None, None, None)]
> cur.fetchall()
[(1.0, 'tom', 'f'), (2.0, 'jerry', 't')]
> 

> cur.fetchall()
[(1.0, 'tom', 'f'), (2.0, 'jerry', 't')]
> cur.fetchall()
[]
>

> cur.execute('SELECT * FROM test')
> for row in cur:
  print row[1] == 1.0


False
False

> from impala.dbapi import connect
> conn = connect(host='my.impala.host', port=21050)
> cur = conn.cursor()
> from impala.util import as_pandas
> cur.execute('SELECT * FROM test')
> df = as_pandas(cur)
> type(df)
<class 'pandas.core.frame.DataFrame'>
> df
  id  name value
0  1  tom   f
1  2 jerry   t
>