def main():
db_base_option = get_mysql_option(sys.argv[1])
db_target_option = get_mysql_option(sys.argv[2])
no_color_option = False
if len(sys.argv) > 3 and sys.argv[3] == '--no-color':
no_color_option = True
db_base = MySQLHelper(**db_base_option)
db_target = MySQLHelper(**db_target_option)
if db_base_option['passwd']:
db_base_option['passwd'] = '***'
if db_target_option['passwd']:
db_target_option['passwd'] = '***'
print '基准数据库:', ', '.join(['{}={}'.format(k, v) for k, v in db_base_option.items()])
print '目标数据库:', ', '.join(['{}={}'.format(k, v) for k, v in db_target_option.items()])
db_base_schema = get_mysql_schema(db_base)
db_target_schema = get_mysql_schema(db_target)
schema_diff = compare_schema(db_base_schema, db_target_schema)
if schema_diff:
print '\n目标数据库相对于基准数据库存在以下差异：'
print_schema_diff(schema_diff, no_color_option)
else:
print COLOR_GREEN + '\n数据库结构完全一致' + COLOR_RESET
def __stop_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" % str(e))
return False
# Original master
try:
orig_master_ip = getattr(self, "orig_master_ip", self.orig_master_host)
orig_master_mysql_port = getattr(self, "orig_master_port", None)
orig_master_ssh_ip = getattr(self, "orig_master_ssh_ip", orig_master_ip)
orig_master_ssh_port = getattr(self, "orig_master_ssh_port", None)
orig_master_ssh_user = getattr(self, "orig_master_ssh_user", None)
orig_master_mysql_user = self.__unescape_from_shell(getattr(self, "orig_master_user"))
orig_master_mysql_pass = self.__unescape_from_shell(getattr(self, "orig_master_password"))
except AttributeError as e:
print("Failed to read one or more required original master parameter(s): %s" % str(e))
return False
# Setup MySQL connections
mysql_orig_master = MySQLHelper(orig_master_ip, orig_master_mysql_port, orig_master_mysql_user,
orig_master_mysql_pass)
try:
print("Connecting to mysql on the original master '%s'" % self.orig_master_host)
if not mysql_orig_master.connect():
return False
if self.orig_master_config.get_manage_vip():
vip_type = self.orig_master_config.get_vip_type()
print("Removing the vip using the '%s' provider from the original master '%s'" %
(vip_type, self.orig_master_host))
if not self.__remove_vip_from_host(vip_type, self.orig_master_host, orig_master_ssh_ip,
orig_master_ssh_user, orig_master_ssh_port,
self.FAILOVER_TYPE_ONLINE):
return False
if self.orig_master_config.get_super_read_only() and mysql_orig_master.super_read_only_supported():
print("Setting super_read_only to '1' on the original master '%s'" % self.orig_master_host)
if not mysql_orig_master.set_super_read_only() or not mysql_orig_master.is_super_read_only():
return False
else:
print("Setting read_only to '1' on the original master '%s'" % self.orig_master_host)
if not mysql_orig_master.set_read_only() or not mysql_orig_master.is_read_only():
return False
if not self.__mysql_kill_threads(self.orig_master_host, mysql_orig_master):
return False
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
print("Disconnecting from mysql on the original master '%s'" % self.orig_master_host)
mysql_orig_master.disconnect()
return True
def __init__(self):
self.conf = (SparkConf()
.setAppName("BandCard")
.set("spark.cores.max", "2")
.set('spark.executor.extraClassPath', '/usr/local/env/lib/mysql-connector-java-5.1.38-bin.jar'))
self.sc = SparkContext(conf=self.conf)
self.sqlctx = SQLContext(self.sc)
self.mysql_helper = MySQLHelper('core', host='10.9.29.212')
def __rollback_stop_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" % str(e))
return False
# Original master
try:
orig_master_ip = getattr(self, "orig_master_ip", self.orig_master_host)
orig_master_mysql_port = getattr(self, "orig_master_port", None)
orig_master_mysql_user = self.__unescape_from_shell(getattr(self, "orig_master_user"))
orig_master_mysql_pass = self.__unescape_from_shell(getattr(self, "orig_master_password"))
orig_master_ssh_ip = getattr(self, "orig_master_ssh_ip", orig_master_ip)
orig_master_ssh_port = getattr(self, "orig_master_ssh_port", None)
orig_master_ssh_user = getattr(self, "orig_master_ssh_user", None)
orig_master_ssh_options = getattr(self, "ssh_options", None)
except AttributeError as e:
print("Failed to read one or more required original master parameter(s): %s" % str(e))
return False
# Setup MySQL connections
mysql_orig_master = MySQLHelper(orig_master_ip, orig_master_mysql_port, orig_master_mysql_user,
orig_master_mysql_pass)
print("Rolling back the failover changes on the original master '%s'" % self.orig_master_host)
try:
if not mysql_orig_master.connect():
print("Failed to connect to mysql on the original master '%s'" % self.orig_master_host)
return False
if not mysql_orig_master.unset_read_only() or mysql_orig_master.is_read_only():
print("Failed to reset read_only to '0' on the original master '%s'" % self.orig_master_host)
return False
print("Set read_only back to '0' on the original master '%s'" % self.orig_master_host)
if self.orig_master_config.get_manage_vip():
vip_type = self.orig_master_config.get_vip_type()
if not self.__add_vip_to_host(vip_type, self.orig_master_host, orig_master_ssh_ip, orig_master_ssh_user,
orig_master_ssh_port, orig_master_ssh_options):
print("Failed to add back the vip using the '%s' provider to the original master '%s'" %
(vip_type, self.orig_master_host))
return False
print("Added back the vip to the original master '%s'" % self.orig_master_host)
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
mysql_orig_master.disconnect()
return True
class DataHandler:
def __init__(self):
self.conf = (SparkConf()
.setAppName("BandCard")
.set("spark.cores.max", "2")
.set('spark.executor.extraClassPath', '/usr/local/env/lib/mysql-connector-java-5.1.38-bin.jar'))
self.sc = SparkContext(conf=self.conf)
self.sqlctx = SQLContext(self.sc)
self.mysql_helper = MySQLHelper('core', host='10.9.29.212')
def load_from_mysql(self, table, database='core'):
url = "jdbc:mysql://10.9.29.212:3306/%s?user=root&characterEncoding=UTF-8" % database
df = self.sqlctx.read.format("jdbc").options(url=url, dbtable=table, driver="com.mysql.jdbc.Driver").load()
return df
def prepare_life_cycle(self, year, season):
'''
准备生命周期数据
从t_CMMS_ASSLIB_ASSET中获取每日AUM数据
prepare data
saum1 (last season sum aum)
saum2 (current season sum aum)
aum_now
account_age (months)
last_tr_date (days)
:param year:
:param season: 1,2,3,4
:return:
'''
# 计算月份
print('----------------------生命周期-Start----------------------')
print('开始准备生命周期数据...')
print('开始计算月份')
if season == 1:
# date1 当前季度月份
date1 = [str(year) + '-01', str(year) + '-02', str(year) + '-03']
# date2 上一季月份
date2 = [str(year - 1) + '-10', str(year - 1) + '-11', str(year - 1) + '-12']
elif season == 4:
date1 = [str(year) + '-10', str(year) + '-11', str(year) + '-12']
date2 = [str(year) + '-07', str(year) + '-08', str(year) + '-9']
else:
date1 = [str(year) + '-0' + str(3 * season - 2), str(year) + '-0' + str(3 * season - 1),
str(year) + '-0' + str(3 * season)]
date2 = [str(year) + '-0' + str(3 * season - 5), str(year) + '-0' + str(3 * season - 4),
str(year) + '-0' + str(3 * season - 3)]
print('当前季度月份 new：', date1)
print('上一季度月份 old：', date2)
# 加载AUM表
aum = self.load_from_mysql('t_CMMS_ASSLIB_ASSET_c').cache()
# 拼接每季度三个月断数据
season_new = aum.filter(aum.STAT_DAT == date1[0]).unionAll(aum.filter(aum.STAT_DAT == date1[1])).unionAll(
aum.filter(aum.STAT_DAT == date1[2]))
season_old = aum.filter(aum.STAT_DAT == date2[0]).unionAll(aum.filter(aum.STAT_DAT == date2[1])).unionAll(
aum.filter(aum.STAT_DAT == date2[2]))
# 计算每季度AUM
aum_season_old = season_old.select('CUST_NO', season_old.AUM.alias('AUM1')).groupBy('CUST_NO').sum('AUM1')
aum_season_new = season_new.select('CUST_NO', season_new.AUM.alias('AUM2')).groupBy('CUST_NO').sum('AUM2')
# 两个季度进行外联接
'''
+-----------+---------+---------+
| CUST_NO|sum(AUM2)|sum(AUM1)|
+-----------+---------+---------+
|81005329523| null|294844.59|
|81011793167| null| 365.20|
|81015319088| null| 9640.96|
+-----------+---------+---------+
'''
union_season = aum_season_old.join(aum_season_new, 'CUST_NO', 'outer')
# 筛选当前AUM
temp_result = aum.select('CUST_NO', 'AUM', 'STAT_DAT').groupBy('CUST_NO', 'STAT_DAT').sum('AUM').sort(
'CUST_NO').sort(aum.STAT_DAT.desc())
temp_result.select('CUST_NO', temp_result['sum(AUM)'].alias('AUM'), 'STAT_DAT').registerTempTable('group_in')
aum_now_sql = "select CUST_NO,first(AUM) as AUM_NOW from group_in group by CUST_NO"
aum_now = self.sqlctx.sql(aum_now_sql)
# 清除缓存表
self.sqlctx.dropTempTable('group_in')
# 联合
union_season_aumnow = union_season.join(aum_now, 'CUST_NO', 'outer')
# 计算用户开户至今时间(months)
# 载入账户表
account = self.load_from_mysql('t_CMMS_ACCOUNT_LIST').cache()
account.select('CUST_NO', 'OPEN_DAT').registerTempTable('account')
account_age_aql = "select CUST_NO, first(ACCOUNT_AGE) as ACCOUNT_AGE from " \
"(select CUST_NO, round(datediff(now(), OPEN_DAT) / 30) as ACCOUNT_AGE " \
"from account order by CUST_NO, ACCOUNT_AGE desc ) as t group by CUST_NO"
account_age = self.sqlctx.sql(account_age_aql)
# calculate last tran date
account_1 = account.select('CUST_NO', 'ACC_NO15')
detail = self.load_from_mysql('t_CMMS_ACCOUNT_DETAIL').select('ACC_NO15', 'TRAN_DAT')
a_d = account_1.join(detail, 'ACC_NO15', 'outer')
a_d.filter(a_d.CUST_NO != '').registerTempTable('adtable')
last_tr_date_sql = "select CUST_NO,first(TRAN_DAT) as LAST_TR_DATE from (select CUST_NO,TRAN_DAT from adtable order by TRAN_DAT desc) as t group by CUST_NO"
last_tr_date = self.sqlctx.sql(last_tr_date_sql)
# 联合 season aum_now account_age last_tr_date
unions = union_season_aumnow.join(account_age, 'CUST_NO', 'outer').join(last_tr_date, 'CUST_NO', 'outer')
# 清除缓存表
self.sqlctx.dropTempTable('account')
self.sqlctx.dropTempTable('adtable')
self.sqlctx.clearCache()
# 结果插入表
print('结果插入临时表：t_CMMS_TEMP_LIFECYCLE...')
insert_lifecycle_sql = "replace into t_CMMS_TEMP_LIFECYCLE(CUST_NO,SAUM1,SAUM2,INCREASE,ACCOUNT_AGE,AUM_NOW,LAST_TR_DATE) values(%s,%s,%s,%s,%s,%s,%s)"
# 缓冲区
temp = []
for row in unions.collect():
row_dic = row.asDict()
if len(temp) >= 1000: # 批量写入数据库
self.mysql_helper.executemany(insert_lifecycle_sql, temp)
temp.clear()
# 加载数据到缓冲区
try:
# 计算增长率
increase = (row_dic['sum(AUM2)'] - row_dic['sum(AUM1)']) / row_dic['sum(AUM1)']
except Exception:
increase = 0
# 计算开户时长（月份数） 若无则视为6个月以上
if row_dic['ACCOUNT_AGE'] is None:
row_dic['ACCOUNT_AGE'] = 7
# 最后交易日期
ltd = row_dic['LAST_TR_DATE']
if ltd is not None:
try:
ltd = datetime.datetime.strptime(ltd, '%Y-%m-%d')
except Exception:
ltd = ltd[:4] + '-' + ltd[4:6] + '-' + ltd[6:]
ltd = datetime.datetime.strptime(ltd, '%Y-%m-%d')
days = (datetime.datetime.now() - ltd).days
else:
days = 366
temp.append((row_dic['CUST_NO'], row_dic['sum(AUM1)'], row_dic['sum(AUM2)'], increase,
row_dic['ACCOUNT_AGE'], row_dic['AUM_NOW'], days))
if len(temp) != 0:
self.mysql_helper.executemany(insert_lifecycle_sql, temp)
temp.clear()
def calculate_life_cycle(self):
'''
根据AUM变化情况计算生命周期阶段
calculate life cycle period
:return:
'''
print('开始计算生命周期...')
life_cycle = self.load_from_mysql('t_CMMS_TEMP_LIFECYCLE').cache()
def clcmap(line):
cust_no = line['CUST_NO']
account_age = line['ACCOUNT_AGE']
last_tr_date = line['LAST_TR_DATE']
aum_now = line['AUM_NOW']
increase = line['INCREASE']
period = 0
if aum_now is None:
period = 9 # 未知
elif aum_now < 1000 and last_tr_date > 365:
period = 3 # 流失期
else:
if increase > 20 or account_age < 6:
period = 0 # 成长期
elif increase >= -20 and increase <= 20:
period = 1 # 成熟期
else:
period = 2 # 稳定期
return period, cust_no
map_result = life_cycle.map(clcmap).collect()
# clear the life_cycle cache
self.sqlctx.clearCache()
temp = []
print('结果更新到临时表：t_CMMS_TEMP_LIFECYCLE...')
update_life_period_sql = "update t_CMMS_TEMP_LIFECYCLE set PERIOD = %s where CUST_NO = %s"
for row in map_result:
if len(temp) >= 1000:
self.mysql_helper.executemany(update_life_period_sql, temp)
temp.clear()
temp.append(row)
if len(temp) != 1000:
self.mysql_helper.executemany(update_life_period_sql, temp)
temp.clear()
def lifecycle_to_real_table(self, year, season):
'''
将生命周期数据写入正式表中
put life_cycle tmp table to real table
:return:
'''
print('开始将生命周期数据写入正式表中...')
life_cycle = self.load_from_mysql('t_CMMS_TEMP_LIFECYCLE').select('CUST_NO', 'PERIOD')
cust_info = self.load_from_mysql('t_CMMS_INFO_CUSTOMER').select('CUST_NO', 'CUST_ID', 'CUST_NAM')
union = life_cycle.join(cust_info, 'CUST_NO', 'left_outer').cache()
temp = []
sql = "replace into t_CMMS_ANALYSE_LIFE(CUST_NO,CUST_ID,CUST_NM,LIFE_CYC,QUARTER,UPDATE_TIME) values(%s,%s,%s,%s,%s,now())"
quarter = str(year) + '-' + str(season)
for row in union.collect():
if len(temp) >= 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
cust_id = row['CUST_ID'] if row['CUST_ID'] is not None else '0'
temp.append((row['CUST_NO'], cust_id, row['CUST_NAM'], row['PERIOD'], quarter))
if len(temp) != 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
self.sqlctx.clearCache()
def run_life_cycle(self,year,season):
'''
运行完整的生命周期流程
1 准备生命周期数据，计算AUM及其变化幅度
2 根据变化幅度计算生命周期阶段
3 将数据从缓存表放到实际表
:param year:
:param season:
:return:
'''
self.prepare_life_cycle(year,season)
self.calculate_life_cycle()
self.lifecycle_to_real_table(year,season)
#------------------------------------------------------------------------生命周期结束------------------------------------------------------------------------#
def customer_value(self, year, half_year):
'''
计算客户价值
calculate customer value
:param year: which year to calculate
:param half_year: 0 for month 1-6 , 1 for month 7-12
:return:
'''
print('---------------------------客户价值-Start--------------------------')
cust_info = self.load_from_mysql('t_CMMS_INFO_CUSTOMER').select('CUST_NO', 'CUST_ID', 'CUST_NAM').cache()
aum = self.load_from_mysql('t_CMMS_ASSLIB_ASSET_c').select('CUST_NO', 'STAT_DAT', 'AUM', 'ASS_TYPE').cache()
base = half_year * 6
aum_slot_filter = None
for i in range(1, 7):
i = base + i
if i < 10:
i = '0' + str(i)
else:
i = str(i)
slot = str(year) + '-' + i
slot_filter = aum.filter(aum.STAT_DAT == slot)
if aum_slot_filter is None:
aum_slot_filter = slot_filter
else:
aum_slot_filter = aum_slot_filter.unionAll(slot_filter)
# CUST_NO sum(AUM)
huoqi_aum = aum_slot_filter.select('CUST_NO', 'ASS_TYPE', aum_slot_filter['AUM'].alias('AUM_HQ')).filter(
aum_slot_filter.ASS_TYPE == '1').groupBy('CUST_NO').sum('AUM_HQ')
dingqi_aum = aum_slot_filter.select('CUST_NO', 'ASS_TYPE', (aum_slot_filter.AUM * 0.8).alias('AUM_DQ')).filter(
aum_slot_filter.ASS_TYPE == '2').groupBy('CUST_NO').sum('AUM_DQ')
# 定期活期已计算好,sum(AUM_HQ),sum(AUM_DQ)
j = huoqi_aum.join(dingqi_aum, 'CUST_NO', 'outer')
# j.show()
# 清除原有数据
self.mysql_helper.execute('truncate core.t_CMMS_ANALYSE_VALUE')
# 开始联合其他表
all_col = j.join(cust_info, 'CUST_NO', 'outer')
print(j.count(), cust_info.count())
# all_col.show()
#根据客户价值计算客户等级
def calculate_rank(value):
if value < 1000:
return 0
elif value < 10000:
return 1
elif value < 100000:
return 2
elif value < 500000:
return 3
elif value < 2000000:
return 4
elif value < 5000000:
return 5
else:
return 6
temp = []
print('将数据replace到正式表...')
update_value_sql = "replace into t_CMMS_ANALYSE_VALUE(CUST_ID,CUST_NO,CUST_NM,CUST_VALUE,CUST_RANK,SLOT,UPDATE_TIME) values(%s,%s,%s,%s,%s,%s,now())"
for row in all_col.collect():
if len(temp) >= 1000:
self.mysql_helper.executemany(update_value_sql, temp)
temp.clear()
val_dq = row['sum(AUM_DQ)'] if row['sum(AUM_DQ)'] is not None else 0
val_hq = row['sum(AUM_HQ)'] if row['sum(AUM_HQ)'] is not None else 0
cust_val = float(val_dq) + float(val_hq)
cust_rank = calculate_rank(cust_val)
slot = str(year) + '-' + str(half_year)
cust_id = row['CUST_ID'] if row['CUST_ID'] is not None else 1
temp.append((cust_id, row['CUST_NO'], row['CUST_NAM'], cust_val, cust_rank, slot))
if len(temp) != 1000:
self.mysql_helper.executemany(update_value_sql, temp)
temp.clear()
def aum_total(self):
'''
计算AUM总和
data for t_CMMS_ASSLIB_ASSTOT
:return:
'''
print('---------------------------总资产-Start--------------------------')
# TODO t_CMMS_ASSLIB_ASSET_c 要改成正式表t_CMMS_ASSLIB_ASSET
df_asset = self.load_from_mysql('t_CMMS_ASSLIB_ASSET_c').select('CUST_NO', 'CUST_ID', 'STAT_DAT', 'AUM', 'CUR',
'ACC_NAM').cache()
# print(df_asset.count(), df_asset.columns)
other_col = df_asset.select('CUST_NO', 'CUST_ID', 'CUR', 'ACC_NAM').distinct()
# print(other_col.count(),other_col.columns)
aum = df_asset.select('CUST_NO', 'STAT_DAT', 'AUM')
# print(aum.count(), aum.columns)
aum = aum.select('CUST_NO', 'STAT_DAT', 'AUM').groupBy(['CUST_NO', 'STAT_DAT']).sum('AUM').sort(
['CUST_NO', aum.STAT_DAT.desc()]) \
.groupBy('CUST_NO').agg({'sum(AUM)': 'first', 'STAT_DAT': 'first'})
# print(aum.count(), aum.columns)
total = aum.select('CUST_NO', aum['first(sum(AUM))'].alias('AUM'), aum['first(STAT_DAT)'].alias('STAT_DAT')). \
join(other_col, 'CUST_NO', 'left_outer').distinct()
# total.filter(total.STAT_DAT == '2016-06-') .show()
# prepare params
def list_map(line):
return line['CUST_ID'], line['CUST_NO'], line['ACC_NAM'], line['STAT_DAT'], line['CUR'], line['AUM']
df = total.map(list_map)
# clear old data
self.mysql_helper.execute('truncate t_CMMS_ASSLIB_ASSTOT')
sql = "insert into t_CMMS_ASSLIB_ASSTOT(CUST_ID,CUST_NO,ACC_NAM,STAT_DAT,CUR,AUM) values(%s,%s,%s,%s,%s,%s)"
# execute sql
self.mysql_helper.batch_operate(sql, df, 100)
def debt_total(self):
'''
prepare data for total debt
:return:
'''
print('---------------------------总负债-Start--------------------------')
df_debt = self.load_from_mysql('t_CMMS_ASSLIB_DEBT').select('LOAN_ACC', 'CUST_NO', 'CUST_ID', 'CUST_NAM',
'BAL_AMT', 'GRANT_AMT', 'CUR')
df_debt = df_debt.filter(df_debt.LOAN_ACC != '')
df_sum = df_debt.groupBy('CUST_NO').sum('GRANT_AMT', 'BAL_AMT')
df_other = df_debt.groupBy('CUST_NO').agg({'CUST_ID': 'first', 'CUST_NAM': 'first', 'CUR': 'first'})
df_total = df_sum.join(df_other, 'CUST_NO', 'left_outer').distinct()
stat_dat = datetime.datetime.now().strftime('%Y%m%d')
def m(line):
return line['CUST_NO'], line['first(CUST_ID)'], line['first(CUST_NAM)'], line['first(CUR)'], line[
'sum(GRANT_AMT)'], line['sum(BAL_AMT)'], stat_dat
df = df_total.map(m)
sql = "replace into t_CMMS_ASSLIB_DEBTOT(CUST_NO,CUST_ID,ACC_NAM,CUR,LOAN_AMT,BAL_AMT,STAT_DAT) values(%s,%s,%s,%s,%s,%s,%s)"
self.mysql_helper.batch_operate(sql, df)
def run(self):
# 生命周期 年份 季度1,2,3,4
dh.run_life_cycle(2016, 2)
# 客户价值 上半年：0,下半年：1
dh.customer_value(2016, 0)
# 总资产
dh.aum_total()
# 总负债
dh.debt_total()
def __start_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" % str(e))
return False
try:
self.new_master_host = getattr(self, "new_master_host")
self.new_master_config = ConfigHelper(self.new_master_host)
except Exception as e:
print("Failed to read configuration for new master: %s" % str(e))
return False
# New master
try:
new_master_ip = getattr(self, "new_master_ip", self.new_master_host)
new_master_mysql_port = getattr(self, "new_master_port", None)
new_master_mysql_user = self.__unescape_from_shell(getattr(self, "new_master_user"))
new_master_mysql_pass = self.__unescape_from_shell(getattr(self, "new_master_password"))
new_master_ssh_ip = getattr(self, "new_master_ssh_ip", new_master_ip)
new_master_ssh_port = getattr(self, "new_master_ssh_port", None)
new_master_ssh_options = getattr(self, "ssh_options", None)
if self.failover_type == self.FAILOVER_TYPE_HARD:
new_master_ssh_user = getattr(self, "ssh_user", None)
else:
new_master_ssh_user = getattr(self, "new_master_ssh_user", None)
except AttributeError as e:
print("Failed to read one or more required new master parameter(s): %s" % str(e))
return False
# Setup MySQL connection
mysql_new_master = MySQLHelper(new_master_ip, new_master_mysql_port, new_master_mysql_user,
new_master_mysql_pass)
try:
print("Connecting to mysql on the new master '%s'" % self.new_master_host)
if not mysql_new_master.connect():
return False
print("Setting read_only to '0' on the new master '%s'" % self.new_master_host)
if not mysql_new_master.unset_read_only() or mysql_new_master.is_read_only():
return False
if self.new_master_config.get_manage_vip():
vip_type = self.new_master_config.get_vip_type()
print("Adding the vip using the '%s' provider to the new master '%s'" %
(vip_type, self.new_master_host))
if not self.__add_vip_to_host(vip_type, self.new_master_host, new_master_ssh_ip, new_master_ssh_user,
new_master_ssh_port, new_master_ssh_options):
return False
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
print("Disconnecting from mysql on the new master '%s'" % self.new_master_host)
mysql_new_master.disconnect()
return True
def __stop_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" %
str(e))
return False
# Original master
try:
orig_master_ip = getattr(self, "orig_master_ip",
self.orig_master_host)
orig_master_mysql_port = getattr(self, "orig_master_port", None)
orig_master_ssh_ip = getattr(self, "orig_master_ssh_ip",
orig_master_ip)
orig_master_ssh_port = getattr(self, "orig_master_ssh_port", None)
orig_master_ssh_user = getattr(self, "orig_master_ssh_user", None)
orig_master_mysql_user = self.__unescape_from_shell(
getattr(self, "orig_master_user"))
orig_master_mysql_pass = self.__unescape_from_shell(
getattr(self, "orig_master_password"))
except AttributeError as e:
print(
"Failed to read one or more required original master parameter(s): %s"
% str(e))
return False
# Setup MySQL connections
mysql_orig_master = MySQLHelper(orig_master_ip, orig_master_mysql_port,
orig_master_mysql_user,
orig_master_mysql_pass)
try:
print("Connecting to mysql on the original master '%s'" %
self.orig_master_host)
if not mysql_orig_master.connect():
return False
if self.orig_master_config.get_manage_vip():
vip_type = self.orig_master_config.get_vip_type()
print(
"Removing the vip using the '%s' provider from the original master '%s'"
% (vip_type, self.orig_master_host))
if not self.__remove_vip_from_host(
vip_type, self.orig_master_host, orig_master_ssh_ip,
orig_master_ssh_user, orig_master_ssh_port,
self.FAILOVER_TYPE_ONLINE):
return False
if self.orig_master_config.get_super_read_only(
) and mysql_orig_master.super_read_only_supported():
print(
"Setting super_read_only to '1' on the original master '%s'"
% self.orig_master_host)
if not mysql_orig_master.set_super_read_only(
) or not mysql_orig_master.is_super_read_only():
return False
else:
print("Setting read_only to '1' on the original master '%s'" %
self.orig_master_host)
if not mysql_orig_master.set_read_only(
) or not mysql_orig_master.is_read_only():
return False
if not self.__mysql_kill_threads(self.orig_master_host,
mysql_orig_master):
return False
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
print("Disconnecting from mysql on the original master '%s'" %
self.orig_master_host)
mysql_orig_master.disconnect()
return True
def __rollback_stop_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" %
str(e))
return False
# Original master
try:
orig_master_ip = getattr(self, "orig_master_ip",
self.orig_master_host)
orig_master_mysql_port = getattr(self, "orig_master_port", None)
orig_master_mysql_user = self.__unescape_from_shell(
getattr(self, "orig_master_user"))
orig_master_mysql_pass = self.__unescape_from_shell(
getattr(self, "orig_master_password"))
orig_master_ssh_ip = getattr(self, "orig_master_ssh_ip",
orig_master_ip)
orig_master_ssh_port = getattr(self, "orig_master_ssh_port", None)
orig_master_ssh_user = getattr(self, "orig_master_ssh_user", None)
except AttributeError as e:
print(
"Failed to read one or more required original master parameter(s): %s"
% str(e))
return False
# Setup MySQL connections
mysql_orig_master = MySQLHelper(orig_master_ip, orig_master_mysql_port,
orig_master_mysql_user,
orig_master_mysql_pass)
print("Rolling back the failover changes on the original master '%s'" %
self.orig_master_host)
try:
if not mysql_orig_master.connect():
print(
"Failed to connect to mysql on the original master '%s'" %
self.orig_master_host)
return False
if not mysql_orig_master.unset_read_only(
) or mysql_orig_master.is_read_only():
print(
"Failed to reset read_only to '0' on the original master '%s'"
% self.orig_master_host)
return False
print("Set read_only back to '0' on the original master '%s'" %
self.orig_master_host)
if self.orig_master_config.get_manage_vip():
vip_type = self.orig_master_config.get_vip_type()
if not self.__add_vip_to_host(
vip_type, self.orig_master_host, orig_master_ssh_ip,
orig_master_ssh_user, orig_master_ssh_port):
print(
"Failed to add back the vip using the '%s' provider to the original master '%s'"
% (vip_type, self.orig_master_host))
return False
print("Added back the vip to the original master '%s'" %
self.orig_master_host)
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
mysql_orig_master.disconnect()
return True
def __start_command(self):
try:
self.orig_master_host = getattr(self, "orig_master_host")
self.orig_master_config = ConfigHelper(self.orig_master_host)
except Exception as e:
print("Failed to read configuration for original master: %s" %
str(e))
return False
try:
self.new_master_host = getattr(self, "new_master_host")
self.new_master_config = ConfigHelper(self.new_master_host)
except Exception as e:
print("Failed to read configuration for new master: %s" % str(e))
return False
# New master
try:
new_master_ip = getattr(self, "new_master_ip",
self.new_master_host)
new_master_mysql_port = getattr(self, "new_master_port", None)
new_master_mysql_user = self.__unescape_from_shell(
getattr(self, "new_master_user"))
new_master_mysql_pass = self.__unescape_from_shell(
getattr(self, "new_master_password"))
new_master_ssh_ip = getattr(self, "new_master_ssh_ip",
new_master_ip)
new_master_ssh_port = getattr(self, "new_master_ssh_port", None)
if self.failover_type == self.FAILOVER_TYPE_HARD:
new_master_ssh_user = getattr(self, "ssh_user", None)
else:
new_master_ssh_user = getattr(self, "new_master_ssh_user",
None)
except AttributeError as e:
print(
"Failed to read one or more required new master parameter(s): %s"
% str(e))
return False
# Setup MySQL connection
mysql_new_master = MySQLHelper(new_master_ip, new_master_mysql_port,
new_master_mysql_user,
new_master_mysql_pass)
try:
print("Connecting to mysql on the new master '%s'" %
self.new_master_host)
if not mysql_new_master.connect():
return False
print("Setting read_only to '0' on the new master '%s'" %
self.new_master_host)
if not mysql_new_master.unset_read_only(
) or mysql_new_master.is_read_only():
return False
if self.new_master_config.get_manage_vip():
vip_type = self.new_master_config.get_vip_type()
print(
"Adding the vip using the '%s' provider to the new master '%s'"
% (vip_type, self.new_master_host))
if not self.__add_vip_to_host(
vip_type, self.new_master_host, new_master_ssh_ip,
new_master_ssh_user, new_master_ssh_port):
return False
except Exception as e:
print("Unexpected error: %s" % str(e))
return False
finally:
print("Disconnecting from mysql on the new master '%s'" %
self.new_master_host)
mysql_new_master.disconnect()
return True
class KMData:
def __init__(self):
self.conf = (SparkConf()
.setAppName("KMeans")
.set("spark.cores.max", "2")
.set('spark.executor.extraClassPath', '/usr/local/env/lib/mysql-connector-java-5.1.38-bin.jar'))
self.sc = SparkContext(conf=self.conf)
self.sqlctx = SQLContext(self.sc)
self.mysql_helper = MySQLHelper('core', host='10.9.29.212')
self.base = 'hdfs://master:9000/gmc/'
def load_from_mysql(self, table, database='core'):
url = "jdbc:mysql://10.9.29.212:3306/%s?user=root&characterEncoding=UTF-8" % database
df = self.sqlctx.read.format("jdbc").options(url=url, dbtable=table, driver="com.mysql.jdbc.Driver").load()
return df
def rfm(self):
life_cycle = self.load_from_mysql('t_CMMS_ANALYSE_LIFE').select('CUST_NO', 'LIFE_CYC')
value = self.load_from_mysql('t_CMMS_ANALYSE_VALUE').select('CUST_NO', 'CUST_VALUE', 'CUST_RANK')
loyalty = self.load_from_mysql('t_CMMS_ANALYSE_LOYALTY').select('CUST_NO', 'LOYALTY')
rfm = loyalty.join(value, 'CUST_NO', 'left_outer').join(life_cycle, 'CUST_NO', 'left_outer').distinct() \
.map(lambda x: (x['CUST_NO'], x['LIFE_CYC'], x['CUST_VALUE'], x['CUST_RANK'], x['LOYALTY']))
temp = []
sql = "replace into t_CMMS_TEMP_KMEANS_COLUMNS(CUST_NO,LIFE_CYC,CUST_VALUE,CUST_RANK,LOYALTY) values(%s,%s,%s,%s,%s)"
for row in rfm.collect():
if len(temp) >= 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
temp.append(row)
if len(temp) != 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
def idcard(self):
'''
get sex age and local from id card number
:return:
'''
kcolums = self.load_from_mysql('t_CMMS_TEMP_KMEANS_COLUMNS').select('CUST_NO')
cust_info = self.load_from_mysql('t_CMMS_INFO_CUSTOMER')
j = kcolums.join(cust_info, 'CUST_NO', 'left_outer').select('CUST_NO', 'CUST_ID')
year_now = datetime.datetime.now().year
def split_map(line):
no = line['CUST_NO']
id = line['CUST_ID']
if id is not None:
sex_flag = 2
year = 0
if len(id) == 21:
year = id[9:13]
sex_flag = id[-2:-1]
elif len(line) == 18:
year = '19' + id[9:11]
sex_flag = id[-1]
# 1 man 2 woman
sex = int(sex_flag) % 2
age = year_now - int(year)
if age > 100:
age = 0
local = id[3:9]
return age, sex, local, no
else:
return 0, 2, '000000', no
asl = j.map(split_map).collect()
temp = []
sql = "update t_CMMS_TEMP_KMEANS_COLUMNS set AGE = %s, SEX = %s, LOCAL = %s where CUST_NO = %s"
for row in asl:
if len(temp) >= 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
temp.append(row)
if len(temp) != 1000:
self.mysql_helper.executemany(sql, temp)
temp.clear()
def aum(self):
kcolums = self.load_from_mysql('t_CMMS_TEMP_KMEANS_COLUMNS').select('CUST_NO')
aum = self.load_from_mysql('t_CMMS_ASSLIB_ASSTOT').select('CUST_NO', 'AUM')
j = kcolums.join(aum, 'CUST_NO', 'left_outer').distinct()
def m(line):
aum = line['AUM'] if line['AUM'] is not None else 0
return aum, line['CUST_NO']
df = j.map(m)
sql = "update t_CMMS_TEMP_KMEANS_COLUMNS set AUM = %s where CUST_NO = %s"
self.sql_operate(sql, df)
def sql_operate(self, sql, df, once_size=1000):
'''
批量数据库操作
:param sql:
:param df:
:param once_size:
:return:
'''
temp = []
for row in df.collect():
if len(temp) >= once_size:
self.mysql_helper.executemany(sql, temp)
temp.clear()
temp.append(row)
if len(temp) != 0:
self.mysql_helper.executemany(sql, temp)
temp.clear()
def cust_info(self):
self.rfm()
self.idcard()
self.aum()
'''
************************************************************
'''
#TODO 时间跨度未设置
def credit_card(self):
#清空缓存表，导入新的额度数据
init_credit_sql = "replace into t_CMMS_TEMP_KMEANS_CREDIT(ACCTNBR,CREDIT) (select XACCOUNT,CRED_LIMIT from core.ACCT)"
self.mysql_helper.execute('truncate t_CMMS_TEMP_KMEANS_CREDIT')
self.mysql_helper.execute(init_credit_sql)
#信用卡交易记录
credit_df = self.load_from_mysql('t_CMMS_CREDIT_TRAN')
credit_df = credit_df.filter(credit_df['BILL_AMTFLAG'] == '+').cache()
#计算循环(此处为刷卡金额占额度的比例，不是真正的循环信用）
# join = credit_df.groupBy('ACCTNBR').sum('BILL_AMT').join(credit_limit_df,'ACCTNBR','outer')
#
# cycle = join.select('ACCTNBR',join['sum(BILL_AMT)'].alias('CYCLE_AMT'),'CREDIT')
#刷卡金额与次数
swipe_amt = credit_df.groupBy('ACCTNBR').sum('BILL_AMT')
swipe_times = credit_df.groupBy('ACCTNBR').count()
# swipe_amt.show()
# swipe_times.show()
swipe_result = swipe_amt.join(swipe_times,'ACCTNBR','outer')
swipe_result = swipe_result.select('ACCTNBR',swipe_result['sum(BILL_AMT)'].alias('SWIPE_AMT'),swipe_result['count'].alias('SWIPE_TIMES'))
#取现金额与次数
codes = [2010,2050,2060,2182,2184]
cash = credit_df.filter(credit_df['TRANS_TYPE'] == codes.pop())
print(type(cash))
for c in codes:
cash = cash.unionAll(credit_df.filter(credit_df['TRANS_TYPE'] == c))
cash_amt = cash.groupBy('ACCTNBR').sum('BILL_AMT')
cash_count = cash.groupBy('ACCTNBR').count()
cash_result = cash_amt.join(cash_count,'ACCTNBR','outer')
cash_result = cash_result.select('ACCTNBR',cash_result['sum(BILL_AMT)'].alias('CASH_AMT'),cash_result['count'].alias('CASH_TIMES'))
#cash_amt.show()
#cash_count.show()
#分期付款金额与次数
installment_df = self.load_from_mysql('MPUR_D').cache()
im_amt = installment_df.groupBy('XACCOUNT').sum('ORIG_PURCH')
im_times = installment_df.groupBy('XACCOUNT').count()
im_result = im_amt.join(im_times,'XACCOUNT','outer')
im_result = im_result.select(im_result['XACCOUNT'].alias('ACCTNBR'),im_result['sum(ORIG_PURCH)'].alias('INSTALLMENT_AMT'),im_result['count'].alias('INSTALLMENT_TIMES'))
#汇总
# 加载额度数据
credit_limit_df = self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('ACCTNBR', 'CREDIT')
all_join = swipe_result.join(cash_result,'ACCTNBR','outer').join(im_result,'ACCTNBR','outer').join(credit_limit_df,'ACCTNBR','outer')
all_join.show()
def m(line):
acctnbr = line['ACCTNBR']
credit = line['CREDIT'] if line['CREDIT'] is not None else 0
# cycle_amt = line['CYCLE_AMT'] if line['CYCLE_AMT'] is not None else 0
# try:
# cycle_times = cycle_amt/credit
# except ZeroDivisionError:
# cycle_times = 0
swipe_amt = line['SWIPE_AMT'] if line['SWIPE_AMT'] is not None else 0
swipe_times = line['SWIPE_TIMES'] if line['SWIPE_TIMES'] is not None else 0
cash_amt = line['CASH_AMT'] if line['CASH_AMT'] is not None else 0
cash_times = line['CASH_TIMES'] if line['CASH_TIMES'] is not None else 0
installment_amt = line['INSTALLMENT_AMT'] if line['INSTALLMENT_AMT'] is not None else 0
installment_times = line['INSTALLMENT_TIMES'] if line['INSTALLMENT_TIMES'] is not None else 0
return acctnbr,credit,swipe_amt,swipe_times,cash_amt,cash_times,installment_amt,installment_times
sql = "replace into t_CMMS_TEMP_KMEANS_CREDIT(ACCTNBR,CREDIT,SWIPE_AMT,SWIPE_TIMES,CASH_AMT,CASH_TIMES,INSTALLMENT_AMT,INSTALLMENT_TIMES) values(%s,%s,%s,%s,%s,%s,%s,%s)"
df = all_join.map(m)
self.sql_operate(sql,df)
class KMAnalyse:
def __init__(self):
self.conf = (SparkConf()
.setAppName("KMeans")
.set("spark.cores.max", "2")
.set('spark.executor.extraClassPath', '/usr/local/env/lib/mysql-connector-java-5.1.38-bin.jar'))
self.sc = SparkContext(conf=self.conf)
self.sqlctx = SQLContext(self.sc)
self.mysql_helper = MySQLHelper('core', host='10.9.29.212')
self.base = 'hdfs://master:9000/gmc/'
def load_from_mysql(self, table, database='core'):
url = "jdbc:mysql://10.9.29.212:3306/%s?user=root&characterEncoding=UTF-8" % database
df = self.sqlctx.read.format("jdbc").options(url=url, dbtable=table, driver="com.mysql.jdbc.Driver").load()
return df
@staticmethod
def clustering_score(data, k):
model = KMeans.train(data, k=k)
def distance(v1, v2):
s = 0
# [1,2,3] [4,5,6] --> [(1,4),(2,5),(3,6)]
pairs = zip(v1, v2)
for p in pairs:
sub = float(p[0]) - float(p[1])
s = s + sub * sub
return math.sqrt(s)
def dist_to_centroid(datum):
# predict the data
cluster = model.predict(datum)
# get the current centroid --> means center point
centroid = model.clusterCenters[cluster]
# call distance method
return distance(centroid, datum)
return data.map(dist_to_centroid).mean()
def try_different_k(self, dataframe, max_k, min_k=2):
data = self.prepare_data(dataframe)
get_id_sql = "select ID from t_CMMS_TEMP_KMEANS_RESULT order by ID desc limit 1"
try:
id = int(self.mysql_helper.fetchone(get_id_sql)[0]) + 1
except:
id = 1
columns = str(dataframe.columns)
l = []
for k in range(min_k, max_k):
sorce = self.clustering_score(data, k)
print(k, sorce)
l.append(sorce)
self.mysql_helper.execute('insert into t_CMMS_TEMP_KMEANS_RESULT(ID,K,SORCE,COLUMNS) values(%s,%s,%s,%s)', (id, k, sorce, columns))
return id
def prepare_data(self, dataframe):
'''
format data
:param dataframe:
:return:
'''
def v_map(line):
lst = []
for c in line:
if c is not None:
lst.append(float(c))
else:
lst.append(0.0)
return lst
return dataframe.rdd.cache().map(v_map)
def train_model(self, dataframe, k, model_name):
'''
use data to train model
:param dataframe: all columns for train
:param k:k value
:param model_name:the trained model
:return:None
'''
data = self.prepare_data(dataframe)
# train to get model
model = KMeans.train(data, k)
# create model saving path
path = self.base + model_name
# try to delete the old model if it exists
try:
import subprocess
subprocess.call(["hadoop", "fs", "-rm", "-f", path])
except:
pass
# save new model on hdfs
model.save(self.sc, path)
# print all cluster of the model
for c in model.clusterCenters:
l = []
for i in c:
i = decimal.Decimal(i).quantize(decimal.Decimal('0.01'))
l.append(float(i))
print(l)
def predict(self, model_name, data):
'''
predict unknown data
:param model_name: the trained model saving on hdfs
:param data: unknown data
:return: (cluster_index, cluster)
'''
# try to load the specified model
path = self.base + model_name
try:
model = KMeansModel.load(self.sc, path)
except:
raise Exception('No such model found on hdfs!')
# get the predict : means which cluster it belongs to
index = model.predict(data)
print('Data:%s belongs to cluster:%s. The index is %s' % (data, model.clusterCenters[index], index))
return index, model.clusterCenters[index]
def vaildate(self, validate_data, model_name):
correct = 0
error = 0
for line in validate_data:
known_cluster = line[0]
stay_predict_data = line[1]
predict_cluster = self.predict(model_name, stay_predict_data)[0] # Only get the index
if known_cluster == predict_cluster:
correct += 1
else:
error += 1
total = len(validate_data)
result = {'total': total, 'correct': correct, 'error': error, 'accurancy': correct / total}
print(result)
return result
def find_best_k(self, df, times, min_k=2, max_k=15):
l = []
for i in range(times):
id = kma.try_different_k(df, max_k)
l.append(id)
sql = "SELECT k,avg(SORCE) FROM t_CMMS_TEMP_KMEANS_RESULT where ID in %s group by K" % str(tuple(l))
result = self.mysql_helper.fetchall(sql)
for i in result:
print(i[0])
print('\n')
for i in result:
print(i[1])
def print_model(self,model_name):
# try to load the specified model
path = self.base + model_name
try:
model = KMeansModel.load(self.sc, path)
except:
raise Exception('No such model found on hdfs!')
for c in model.clusterCenters:
print(c)
for c in model.clusterCenters:
l = []
for i in c:
i = decimal.Decimal(i).quantize(decimal.Decimal('0.01'))
l.append(float(i))
print(l)
def test_rfm_data(self):
life_cycle = self.load_from_mysql('t_CMMS_ANALYSE_LIFE').select('CUST_NO', 'LIFE_CYC')
value = self.load_from_mysql('t_CMMS_ANALYSE_VALUE').select('CUST_NO', 'CUST_VALUE')
loyalty = self.load_from_mysql('t_CMMS_ANALYSE_LOYALTY').select('CUST_NO', 'LOYALTY')
rfm = loyalty.join(value, 'CUST_NO', 'left_outer').join(life_cycle, 'CUST_NO', 'left_outer').select('LIFE_CYC',
'CUST_VALUE',
'LOYALTY')
return rfm
def test_cust_info_data(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_COLUMNS').select('LIFE_CYC', 'LOYALTY', 'CUST_RANK', 'AGE',
'LOCAL', 'SEX', 'AUM')
def test_credit_data(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('CREDIT', 'CYCLE_TIMES', 'CYCLE_AMT',
'INSTALLMENT_TIMES', 'INSTALLMENT_AMT',
'SWIPE_TIMES', 'SWIPE_AMT', 'CASH_TIMES',
'CASH_AMT')
def full_keys_data(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('CREDIT', 'CYCLE_TIMES', 'CYCLE_AMT', 'CYCLE_RATE',
'INSTALLMENT_TIMES', 'INSTALLMENT_AMT',
'SWIPE_TIMES', 'SWIPE_AMT', 'CASH_TIMES',
'CASH_AMT')
def no_cycle_data(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('CREDIT',
'INSTALLMENT_TIMES', 'INSTALLMENT_AMT',
'SWIPE_TIMES', 'SWIPE_AMT', 'CASH_TIMES',
'CASH_AMT')
def no_amt_data(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('CREDIT', 'CYCLE_TIMES',
'CYCLE_RATE',
'INSTALLMENT_TIMES',
'SWIPE_TIMES', 'CASH_TIMES')
def no_cycle_amt(self):
return self.load_from_mysql('t_CMMS_TEMP_KMEANS_CREDIT').select('CREDIT', 'CYCLE_TIMES',
'CYCLE_RATE',
'INSTALLMENT_TIMES', 'INSTALLMENT_AMT',
'SWIPE_TIMES', 'SWIPE_AMT', 'CASH_TIMES',
'CASH_AMT')
class Credit:
def __init__(self):
self.conf = (SparkConf()
.setAppName("CREDIT")
.set("spark.cores.max", "2")
.set('spark.executor.extraClassPath', '/usr/local/env/lib/mysql-connector-java-5.1.38-bin.jar'))
self.sc = SparkContext(conf=self.conf)
self.sqlctx = SQLContext(self.sc)
self.mysql_helper = MySQLHelper('core', host='10.9.29.212')
self.base = 'hdfs://master:9000/gmc/'
def load_from_mysql(self, table, database='core'):
url = "jdbc:mysql://10.9.29.212:3306/%s?user=root&characterEncoding=UTF-8" % database
df = self.sqlctx.read.format("jdbc").options(url=url, dbtable=table, driver="com.mysql.jdbc.Driver").load()
return df
def sql_operate(self, sql, rdd, once_size=1000):
temp = []
for row in rdd.collect():
# print(row)
if len(temp) >= once_size:
self.mysql_helper.executemany(sql, temp)
temp.clear()
temp.append(row)
if len(temp) != 0:
self.mysql_helper.executemany(sql, temp)
temp.clear()
def prepare_fpgrowth_data(self):
tran_df = self.load_from_mysql('t_CMMS_CREDIT_TRAN').filter("BILL_AMTFLAG = '+'").select('ACCTNBR',
'MER_CAT_CD') \
.filter("MER_CAT_CD != 0").filter("MER_CAT_CD != 6013")
result = tran_df.map(lambda x: (str(int(x['ACCTNBR'])), [str(int(x['MER_CAT_CD'])), ])).groupByKey()
def m(x):
k = x[0]
l = list(x[1])
v = set()
for i in l:
v.add(i[0])
return set(v)
result = result.map(m)
for i in result.take(10):
print(i)
model = FPGrowth.train(result, minSupport=0.05, numPartitions=10)
result = model.freqItemsets().collect()
for r in result:
print(r)
def cycle_credit(self):
'''
信用卡聚类数据预处理
:return:
'''
print('---------------------------信用卡-Start--------------------------')
# 交易流水
credit_tran_df = self.load_from_mysql('t_CMMS_CREDIT_TRAN').select('ACCTNBR', 'MONTH_NBR', 'BILL_AMT',
'BILL_AMTFLAG').filter(
"BILL_AMTFLAG ='-'").cache()
# 卡账户信息
credit_acct_df = self.load_from_mysql('ACCT_D').select('ACCTNBR', 'MONTH_NBR', 'STM_MINDUE')
# 还款计算
return_amt = credit_tran_df.groupBy('ACCTNBR', 'MONTH_NBR').sum('BILL_AMT')
return_amt = return_amt.select('ACCTNBR', 'MONTH_NBR', return_amt['sum(BILL_AMT)'].alias('RETURNED'))
# 去除0最低还款额，即未消费的账单月
join = credit_acct_df.join(return_amt, ['ACCTNBR', 'MONTH_NBR'], 'outer').filter('STM_MINDUE != 0')
# 清除缓存
self.sqlctx.clearCache()
def which_cycle_type(line):
mindue = line['STM_MINDUE']
returned = line['RETURNED']
'''
0:normal,all returned
1:cycle credit
2:overdue,don't return money
'''
if mindue is not None and returned is None:
flag = 2
elif returned >= mindue * 10:
flag = 0
elif returned > mindue and returned < mindue * 10:
flag = 1
else:
flag = 9
return Row(ACCTNBR=int(line['ACCTNBR']), MONTH_NBR=line['MONTH_NBR'], DUE_FLAG=flag,
STM_MINDUE=line['STM_MINDUE'])
# 返回为PipelinedRDD
join = join.map(which_cycle_type)
# 转为DataFrame
join = self.sqlctx.createDataFrame(join)
'''
+-------+--------+-----+
| ACCTNBR | DUE_FLAG | count |
+-------+--------+-----+
| 608126 | 2 | 1 |
| 608126 | 0 | 6 |
| 608868 | 0 | 4 |
'''
# 按还款类型分类
each_type = join.groupBy(['ACCTNBR', 'DUE_FLAG'])
# 计算每种还款情况数量
each_type_count = each_type.count()
# 计算每种还款情况的最低还款额之和
each_type_mindue_sum = each_type.sum('STM_MINDUE')
# 计算还款情况总数
all_type_count = each_type_count.groupBy('ACCTNBR').sum('count')
# join 上述三表
rate = each_type_count.join(each_type_mindue_sum, ['ACCTNBR', 'DUE_FLAG'], 'outer').join(all_type_count,
'ACCTNBR', 'outer')
# print(rate.columns)
# ['ACCTNBR', 'DUE_FLAG', 'count', 'sum(STM_MINDUE)', 'sum(count)']
# 筛选出循环信用的数据
# TODO 暂时只取了循环信用的
rate = rate.filter(rate['DUE_FLAG'] == 1)
# 计算进入循环信用的比例
rate = rate.select('ACCTNBR',
(rate['sum(STM_MINDUE)'] * 10).alias('CYCLE_AMT'),
rate['count'].alias('CYCLE_TIMES'),
(rate['count'] / rate['sum(count)']).alias('CYCLE_RATE'))
# rate.show()
# print(rate.count())
def m(line):
return line['CYCLE_TIMES'], line['CYCLE_AMT'], line['CYCLE_RATE'], line['ACCTNBR']
sql = "update t_CMMS_TEMP_KMEANS_CREDIT set CYCLE_TIMES=%s,CYCLE_AMT=%s,CYCLE_RATE=%s where ACCTNBR=%s"
df = rate.map(m)
print('将数据更新至数据库...')
self.sql_operate(sql, df)
# 将未进入循环的 设为0
print('将未进入循环的 设为0...')
self.mysql_helper.execute(
"update t_CMMS_TEMP_KMEANS_CREDIT set CYCLE_TIMES=0,CYCLE_AMT=0,CYCLE_RATE=0 where CYCLE_TIMES is null ")
def losing_warn(self,year,month):
# #计算月份
# if season == 1:
# months_now = [1,2,3]
# months_before = [10,11,12]
# year_before = year - 1
# else:
# months_now = [season * 3 - 2, season * 3 - 1, season * 3]
# months_before = [season * 3 - 5, season * 3 - 4, season * 3-3]
# year_before = year
#
#
#
# # 抽取每个季度数据
#
# for m in months_now:
# 最近一个月
month = '%02d' % month
for i in range(2,29):
day = '%02d' % i
date = str(year) + month + day
print(date)
sql = "select MONTH_NBR from t_CMMS_CREDIT_TRAN where INP_DATE = %s limit 1"
try:
month_nbr = self.mysql_helper.fetchone(sql,(date,))
if month_nbr is None:
continue
else:
month_nbr = int(month_nbr[0])
break
except Exception:
continue
if month_nbr is None:
raise Exception("There is no data in database for month:%s" % month)
else:
print('the latest month_nbr is %s' % month_nbr)
months_now = [month_nbr-2,month_nbr-1,month_nbr]
months_before = [month_nbr-5,month_nbr-4,month_nbr-3]
print('months_now',months_now)
print('months_before',months_before)
# 交易流水
credit_tran_df = self.load_from_mysql('t_CMMS_CREDIT_TRAN').select('ACCTNBR', 'INP_DATE', 'MONTH_NBR', 'BILL_AMT',
'BILL_AMTFLAG').filter("BILL_AMTFLAG ='+'").cache()
# 筛选出两个季度对应的流水
months_now_filter = None
months_before_filter = None
for i in months_now:
f = credit_tran_df.filter(credit_tran_df['MONTH_NBR'] == i)
if months_now_filter is None:
months_now_filter = f
else:
months_now_filter = months_now_filter.unionAll(f)
for i in months_before:
f = credit_tran_df.filter(credit_tran_df['MONTH_NBR'] == i)
if months_before_filter is None:
months_before_filter = f
else:
months_before_filter = months_before_filter.unionAll(f)
months_now_filter.groupBy('MONTH_NBR').count().show()
months_before_filter.groupBy('MONTH_NBR').count().show()
months_now_count = months_now_filter.groupBy('ACCTNBR').count()
months_before_count = months_before_filter.groupBy('ACCTNBR').count()
months_now_count.show()
months_before_count.show()
join = months_now_count.select('ACCTNBR',months_now_count['count'].alias('NOW_COUNT')).join(
months_before_count.select('ACCTNBR',months_before_count['count'].alias('BEFORE_COUNT')),'ACCTNBR','outer'
)
join.show()
def m(line):
ncount = line['NOW_COUNT']
bcount = line['BEFORE_COUNT']
'''
计算增长率
9999：两季度均无数据
8888：仅第一季度有数据，流失客户
7777：仅第二季度有数据，新增客户
其他数字：第二个季度较第一季度增长率 (s2-s1)/s1*100
'''
if ncount is None:
if bcount is None:# n none,b none
pass
else:# n none, b not none
increment = -9999
else:
if bcount is None:# n not none, b none
increment = 8888
else:# n not none,b not none
increment = round((ncount-bcount)/bcount*100)
'''
计算信用卡生命周期（以增长率计算）
100+ 快速增长
50-100 增长
-50-50 稳定
-50- 衰退
9999 流失
'''
if increment > 100 and increment != -9999:
life = 1 # fast growing
elif increment <=100 and increment >50:
life = 2 # growing
elif increment <= 50 and increment > -50:
life = 3 # stable
elif increment <= -50:
life = 4 # losing
else:
life = 9 # no more tran completely lost
return line['ACCTNBR'],month_nbr,increment,life
sql = "replace into t_CMMS_ANALYSE_CREDIT(ACCTNBR, MONTH_NBR, INCREMENT,LIFE, UPDATE_TIME) values(%s,%s,%s,%s,now())"
rdd = join.map(m)
print(type(rdd))
self.sql_operate(sql,rdd)
