def query_process_by_key_words(parm):
wildcard = fill_wildcard(parm.get('key_words'))
start = parm.get('start')
end = parm.get('end')
log.warn("%s %s %s", wildcard, start, end)
return client.excute_sql(
"SELECT pname FROM record WHERE pname LIKE '%s' AND timestamp BETWEEN '%s' AND '%s' GROUP BY pname"
% (wildcard, start, end))
def query_range():
parm = request.args.to_dict()
processfilter = parm.get('processfilter')
wildcard = ''
if processfilter is not '':
wildcard = re.sub(',', "','", "'" + processfilter + "'")
log.warn(wildcard)
start = parm.get('start')
now = time.time()
if start is None:
start = now - 300
end = parm.get('end')
if end is None:
end = now
return DataProcessor.query(start, end, wildcard)
def list_all(self):
conn = PySqlTemplate.data_source.get_conn()
cur = conn.cursor()
log.warn('_params: %s', self.__params)
log.warn('__statement: %s', self.__statement)
cur.execute(self.__statement, self.__params if self.__params else {})
cols = [item[0] for item in cur.description]
log.warn(','.join(cols))
res = cur.fetchall()
cur.close()
PySqlTemplate.data_source.close_conn()
return [list(e) if len(cols) > 1 else e[0] for e in res]
def init_index_from_conf(path):
conf = util.load_json(path)
res = create(conf['index'], body=conf['body'], force=conf['force'])
log.warn(res)
def excute_sql(sql, format='csv'):
log.warn(sql)
query = {"query": sql, "fetch_size": 10000}
return re.sub('\r', '', es.sql.query(query, format=format))
def query_process_by_key_words(parm):
key_words = parm.get('key_words')
log.warn(key_words)
data = select_process_from_record_by_key_words('%'+key_words+'%')
data.insert(0, 'pname')
return '\n'.join(data)
