DataBaseOperation.py 21 KB

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  1. """
  2. @desc 数据库操作方法封装
  3. @auth chenkai
  4. @date 2020/11/19
  5. @py_version py3.6
  6. """
  7. import pymysql
  8. import logging as log
  9. import pandas as pd
  10. import time
  11. from model.log import logger
  12. log = logger()
  13. pd.set_option('display.max_columns', None)
  14. pd.set_option('display.width', 1000)
  15. MYSQL_DEBUG = 1
  16. class MysqlOperation:
  17. def __init__(self, host, user, passwd, db, port=3306):
  18. try:
  19. self.conn = pymysql.connect(host=host,
  20. user=user,
  21. passwd=passwd,
  22. db=db,
  23. charset='utf8mb4',
  24. port=port)
  25. self.cursor = self.conn.cursor()
  26. except Exception as e:
  27. log.info(e)
  28. def set_dict_cursor(self):
  29. """
  30. 设置字典形式取数据
  31. """
  32. self.cursor = self.conn.cursor(pymysql.cursors.DictCursor)
  33. def getData(self, sql, args=None):
  34. """
  35. :param sql:
  36. :param args:
  37. :return: tuple(tuple)
  38. """
  39. start = time.time()
  40. self.cursor.execute(sql, args=args)
  41. result = self.cursor.fetchall()
  42. if MYSQL_DEBUG:
  43. sql_str = sql % tuple(args) if args else sql
  44. log.info('sql: \n' + sql_str)
  45. log.info('sql cost: %s' % (time.time() - start))
  46. return result
  47. def get_data_list(self,sql,arg=None):
  48. """
  49. :param sql:
  50. :param arg:
  51. :return: list[list]
  52. """
  53. data=self.getData(sql,arg)
  54. li=[]
  55. for i in data:
  56. li.append(list(i))
  57. return li
  58. def execute(self, sql,data=None):
  59. start = time.time()
  60. if data:
  61. k=self.cursor.execute(sql,data)
  62. else:
  63. k=self.cursor.execute(sql)
  64. self.conn.commit()
  65. # if MYSQL_DEBUG:
  66. #
  67. # # log.info('sql: \n' + sql)
  68. # log.info('sql cost: %s' % (time.time() - start))
  69. print(f"affect rows :{k}")
  70. def executeMany(self,sql,data):
  71. start = time.time()
  72. k=self.cursor.executemany(sql,data)
  73. self.conn.commit()
  74. # if MYSQL_DEBUG:
  75. # log.info('sql: \n' + sql)
  76. # log.info('sql cost: %s' % (time.time() - start))
  77. print(f"affect rows :{k}")
  78. def getOne(self,sql, args=None):
  79. result = self.getData(sql, args)
  80. return result[0][0]
  81. def getData_pd(self, sql, args=None):
  82. start = time.time()
  83. # if args:
  84. # log.debug(sql % tuple(args))
  85. # else:
  86. # log.debug(sql)
  87. self.cursor.execute(sql, args=args)
  88. num_fields = len(self.cursor.description)
  89. field_names = [i[0] for i in self.cursor.description]
  90. df = self.cursor.fetchall()
  91. df = pd.DataFrame(data=list(df), columns=field_names)
  92. if MYSQL_DEBUG:
  93. sql_str = sql % tuple(args) if args else sql
  94. log.info('sql: \n' + sql_str)
  95. log.info('sql cost: %s' % (time.time() - start))
  96. return df
  97. def insertData(self, sql, args=None):
  98. # if args:
  99. # log.debug(sql % tuple(args))
  100. # else:
  101. # log.debug(sql)
  102. start = time.time()
  103. self.cursor.execute(sql, args=args)
  104. if MYSQL_DEBUG:
  105. sql_str = sql % tuple(args) if args else sql
  106. log.info('sql: \n' + sql_str)
  107. log.info('sql cost: %s' % (time.time() - start))
  108. self.conn.commit()
  109. def executeWithoutCommit(self, sql, args=None):
  110. return self.cursor.execute(sql, args=args)
  111. def commit(self):
  112. self.conn.commit()
  113. def insertorupdate(self, table, keys, tags, tagvalue, flag, *args):
  114. """
  115. :param table: 表名
  116. :param keys: 联合主键名元组
  117. :param tags: 字段名元组
  118. :param tagvalue: 字段值
  119. :param args: 主键值
  120. :param flag: 控制是否打印日志
  121. :return:
  122. """
  123. # log.info(tags)
  124. sql = "INSERT INTO " + table + " ("
  125. sql += ",".join(keys) + ","
  126. sql += ",".join(tags)
  127. sql += ") SELECT "
  128. sql += "%s," * len(keys)
  129. sql += ("%s," * len(tags))[:-1]
  130. sql += " FROM DUAL WHERE NOT EXISTS (SELECT id FROM " + table
  131. sql += " WHERE "
  132. for _ in keys:
  133. sql += _ + "=%s AND "
  134. sql = sql[:-4]
  135. sql += "LIMIT 1)"
  136. arg = list(args)
  137. arg.extend(tagvalue)
  138. arg.extend(list(args))
  139. rows = self.cursor.execute(sql, args=arg)
  140. if rows == 0:
  141. sql = "UPDATE " + table + " SET "
  142. for _ in tags:
  143. sql += _ + "=%s,"
  144. sql = sql[:-1]
  145. sql += " WHERE "
  146. for _ in keys:
  147. sql += _ + "=%s AND "
  148. sql = sql[:-4]
  149. arg = []
  150. arg.extend(tagvalue)
  151. arg.extend(list(args))
  152. self.cursor.execute(sql, args=arg)
  153. if flag:
  154. log.info(sql % tuple(arg))
  155. self.conn.commit()
  156. def _insertorupdate(self, table, keys, tags, tag_value, flag, key_value, update=False):
  157. if not update:
  158. sql = "INSERT INTO " + table + " ("
  159. sql += ",".join(keys) + ","
  160. sql += ",".join(tags)
  161. sql += ") SELECT "
  162. sql += "%s," * len(keys)
  163. sql += ("%s," * len(tags))[:-1]
  164. sql += " FROM DUAL WHERE NOT EXISTS (SELECT id FROM " + table
  165. sql += " WHERE "
  166. for _ in keys:
  167. sql += _ + "=%s AND "
  168. sql = sql[:-4]
  169. sql += "LIMIT 1)"
  170. arg = list(key_value)
  171. arg.extend(tag_value)
  172. arg.extend(list(key_value))
  173. rows = self.cursor.execute(sql, args=arg)
  174. if rows == 0:
  175. sql = "UPDATE " + table + " SET "
  176. for _ in tags:
  177. sql += _ + "=%s,"
  178. sql = sql[:-1]
  179. sql += " WHERE "
  180. for _ in keys:
  181. sql += _ + "=%s AND "
  182. sql = sql[:-4]
  183. arg = []
  184. arg.extend(tag_value)
  185. arg.extend(list(key_value))
  186. self.cursor.execute(sql, args=arg)
  187. if flag:
  188. log.info(sql % tuple(arg))
  189. else:
  190. sql = "UPDATE " + table + " SET "
  191. for _ in tags:
  192. sql += _ + "=%s,"
  193. sql = sql[:-1]
  194. sql += " WHERE "
  195. for _ in keys:
  196. sql += _ + "=%s AND "
  197. sql = sql[:-4]
  198. arg = []
  199. arg.extend(tag_value)
  200. arg.extend(list(key_value))
  201. self.cursor.execute(sql, args=arg)
  202. if flag:
  203. log.info(sql % tuple(arg))
  204. def _insert_on_duplicate(self, table, keys, tags, tag_value, flag, key_value):
  205. name_all = list(keys)
  206. name_all.extend(tags)
  207. arg = list(key_value)
  208. arg.extend(tag_value)
  209. arg.extend(tag_value)
  210. sql_name = '(' + ','.join(name_all) + ')'
  211. sql_value = '(' + ','.join(['%s'] * len(name_all)) + ')'
  212. sql_update = ','.join([_ + '=%s' for _ in tags])
  213. sql = """
  214. insert into %s
  215. %s
  216. VALUES %s
  217. ON duplicate key UPDATE %s
  218. """ % (table, sql_name, sql_value, sql_update)
  219. self.cursor.execute(sql, args=arg)
  220. if flag:
  221. log.debug(sql % tuple(arg))
  222. def insertorupdatemany(self, table, keys, tags, tag_values, key_values, flag=False, unique_key=False, update=False):
  223. """
  224. :param table: 表名
  225. :param keys: 联合主键名元组
  226. :param tags: 字段名元组
  227. :param tag_values: 字段值组(list or pd.DataFrame)
  228. :param key_values: 主键值组(list or pd.DataFrame)
  229. :param flag: 控制是否打印日志
  230. :param unique_key: keys 是否为table的 unique_key
  231. :return:
  232. ps: 效率(外网): rows / 50; 1000以上更新使用
  233. """
  234. if isinstance(tag_values, pd.DataFrame):
  235. list_tag_value = [list(tag_values.iloc[_, :]) for _ in range(len(tag_values))]
  236. else:
  237. list_tag_value = list(tag_values)
  238. if isinstance(key_values, pd.DataFrame):
  239. list_key_value = [list(key_values.iloc[_, :]) for _ in range(len(key_values))]
  240. else:
  241. list_key_value = list(key_values)
  242. for _ in range(len(list_tag_value)):
  243. tag_value = list_tag_value[_]
  244. key_value = list_key_value[_]
  245. if unique_key:
  246. self._insert_on_duplicate(table, keys, tags, tag_value, flag, key_value)
  247. else:
  248. self._insertorupdate(table, keys, tags, tag_value, flag, key_value, update)
  249. self.conn.commit()
  250. def _check_repeat_key(self, key_list):
  251. tmp = list(map(lambda x: tuple(x), key_list))
  252. if len(tmp) == len(set(tmp)):
  253. return False
  254. else:
  255. last_data = -1
  256. repeat_key = set()
  257. for i in sorted(tmp):
  258. if last_data == i:
  259. repeat_key.add(i)
  260. if len(repeat_key) >= 10:
  261. break
  262. last_data = i
  263. log.error('Reject repeated keys')
  264. log.error('repeat_key: %s' % repeat_key)
  265. return True
  266. def _convert_to_list(self, data):
  267. if isinstance(data, pd.DataFrame):
  268. # np.nan != np.nan 从而判断值为np.nan
  269. list_data = [map(lambda x: None if x != x else x, list(data.iloc[_, :])) for _ in range(len(data))]
  270. li =[]
  271. for i in list_data:
  272. li.append(list(i))
  273. list_data = li
  274. else:
  275. list_data = list(data)
  276. return list_data
  277. def _get_exist_keys_index(self, table, keys, key_values, flag=False):
  278. list_sql_when = []
  279. list_tmp = []
  280. for i in range(len(key_values)):
  281. sql_when = """when (%s)=(%s) then %s""" % (','.join(keys), ','.join(['%s'] * len(key_values[i])), i)
  282. list_sql_when.append(sql_when)
  283. list_tmp.extend(key_values[i])
  284. list_sql_condition = []
  285. for i in range(len(key_values)):
  286. # sql_condition_old = """(%s)=(%s)""" % (','.join(keys), ','.join(['%s'] * len(key_values[i])))
  287. row_condition_list = map(lambda x: '%s = %%s' % x, keys)
  288. sql_condition = """(%s)""" % ' and '.join(row_condition_list)
  289. # print sql_condition_old, sql_condition
  290. list_sql_condition.append(sql_condition)
  291. list_tmp.extend(key_values[i])
  292. sql_where = ' or '.join(list_sql_condition)
  293. sql_case = '\n'.join(list_sql_when)
  294. sql = """
  295. select
  296. case
  297. %s
  298. end
  299. from %s
  300. where %s
  301. """ % (sql_case, table, sql_where)
  302. if flag:
  303. log.info(sql % tuple(list_tmp))
  304. self.cursor.execute(sql, tuple(list_tmp))
  305. print()
  306. result = self.cursor.fetchall()
  307. return map(lambda x: x[0], result)
  308. def insertorupdatemany_v2(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  309. """
  310. 更新插入多条数据(无key时自动插入, 有keys时更新)
  311. :param table: 表名
  312. :param keys: 联合主键名元组
  313. :param tags: 字段名元组
  314. :param tag_values: 字段值组(list or pd.DataFrame)
  315. :param key_values: 主键值组(list or pd.DataFrame)
  316. :param flag: 控制是否打印日志
  317. :param split: 切割阈值
  318. :return:
  319. ps: 效率(外网): rows^2 / 50000; rows以split为单位分批更新
  320. """
  321. if not isinstance(tag_values, (tuple, list, pd.DataFrame)):
  322. log.error('Type Error')
  323. exit(-1)
  324. return
  325. if len(tag_values) > split:
  326. length = len(tag_values)
  327. for i in range(0, length, split):
  328. start, finish = i, i + split
  329. self.insertorupdatemany_v2(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  330. return
  331. if len(key_values) == 0 or len(tag_values) == 0:
  332. log.debug('insert or update 0 rows')
  333. return
  334. tag_values = self._convert_to_list(tag_values)
  335. key_values = self._convert_to_list(key_values)
  336. assert self._check_repeat_key(key_values) == False
  337. exist_key_index = list(self._get_exist_keys_index(table, keys, key_values, flag))
  338. new_key_index = list(set(range(len(key_values))) - set(exist_key_index))
  339. update_keys = list(map(lambda x: key_values[x], exist_key_index))
  340. update_tags = list(map(lambda x: tag_values[x], exist_key_index))
  341. insert_keys = list(map(lambda x: key_values[x], new_key_index))
  342. insert_tags = list(map(lambda x: tag_values[x], new_key_index))
  343. self.insert_many(table=table,
  344. keys=keys,
  345. tags=tags,
  346. tag_values=insert_tags,
  347. key_values=insert_keys,
  348. flag=flag)
  349. self.update_many(table=table,
  350. keys=keys,
  351. tags=tags,
  352. tag_values=update_tags,
  353. key_values=update_keys,
  354. flag=flag,
  355. split=split)
  356. def insertorupdatemany_v3(self, df, table, keys, tags, flag=False, split=80):
  357. self.insertorupdatemany_v2(
  358. table=table,
  359. keys=keys,
  360. tags=tags,
  361. tag_values=df[tags],
  362. key_values=df[keys],
  363. flag=flag,
  364. split=split
  365. )
  366. def _get_s_format(self, data):
  367. """
  368. Args:
  369. data: [[featureA1, featureB1, ...], [featureA2, featureB2, ...], ...]
  370. Returns:
  371. format of %s and real value
  372. Example:
  373. [['2017-07-01', 78], ['2017-07-01', 1]] ->
  374. ('((%s, %s), (%s, %s))', ['2017-07-01', 78, '2017-07-01', 1])
  375. """
  376. list_tmp_s = []
  377. values = []
  378. for _ in data:
  379. tmp_s = ','.join(len(_) * ['%s'])
  380. values.extend(_)
  381. if len(_) > 1:
  382. tmp_s = '(' + tmp_s + ')'
  383. list_tmp_s.append(tmp_s)
  384. format_s = '(' + ','.join(list_tmp_s) + ')'
  385. return format_s, values
  386. def delete_by_key(self, table, keys, key_values, flag=False):
  387. """
  388. Args:
  389. table: 表名
  390. keys: 联合主键名元组
  391. key_values: 主键值组(list or pd.DataFrame)
  392. flag: 控制是否打印日志
  393. Examples:
  394. delete_by_key('table_test', keys=['date'], key_values=[['2017-07-01'], ['2017-07-02']], flag=False)
  395. delete_by_key('table_test', keys=['date'], key_values=['2017-07-01'], flag=False)
  396. """
  397. if len(key_values) == 0:
  398. return
  399. if not (isinstance(key_values[0], (list, tuple)) or isinstance(key_values, pd.DataFrame)):
  400. key_values_list = [key_values]
  401. else:
  402. key_values_list = self._convert_to_list(key_values)
  403. sql_keys = '(' + ','.join(keys) + ')'
  404. contact_s, values_s = self._get_s_format(key_values_list)
  405. sql_del = """
  406. delete from %s
  407. where %s in %s
  408. """ % (table, sql_keys, contact_s)
  409. if flag:
  410. log.debug(sql_del % tuple(values_s))
  411. self.cursor.execute(sql_del, tuple(values_s))
  412. self.conn.commit()
  413. def insert_many(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  414. """
  415. 直接插入多条数据
  416. :param table: 表名
  417. :param keys: 联合主键名元组
  418. :param tags: 字段名元组
  419. :param tag_values: 字段值组(list or pd.DataFrame)
  420. :param key_values: 主键值组(list or pd.DataFrame)
  421. :param flag: 控制是否打印日志
  422. :return:
  423. Examples: 参照 insertorupdatemany_v2
  424. insert into table
  425. (count_date, cid, tag1, tag2)
  426. values ('2017-01-01', 10, 1, 'a'), ('2017-01-02', 20, 2, 'b'), ...
  427. """
  428. if len(key_values) == 0 or len(tag_values) == 0:
  429. log.debug('insert 0 rows')
  430. return
  431. if len(tag_values) > split:
  432. length = len(tag_values)
  433. for i in range(0, length, split):
  434. start, finish = i, i + split
  435. self.insert_many(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  436. return
  437. tag_values = self._convert_to_list(tag_values)
  438. key_values = self._convert_to_list(key_values)
  439. feature_total = "(" + ",".join(keys + tags) + ")"
  440. tmp_s = "(" + ",".join(["%s"] * len(keys + tags)) + ")"
  441. tmp_s_concat = ",\n".join([tmp_s] * len(key_values))
  442. sql_insert = """
  443. Insert into %s
  444. %s
  445. values %s""" % (table, feature_total, tmp_s_concat)
  446. value_insert = []
  447. for _ in zip(key_values, tag_values):
  448. value_insert.extend(_[0] + _[1])
  449. if flag:
  450. log.debug(sql_insert % tuple(value_insert))
  451. t0 = time.time()
  452. self.cursor.execute(sql_insert,tuple(value_insert))
  453. log.debug('insert %s rows, cost: %s' % (len(key_values), time.time() - t0))
  454. self.conn.commit()
  455. def update_many(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  456. """
  457. 更新多条数据(无key时不会自动插入)
  458. :param table: 表名
  459. :param keys: 联合主键名元组
  460. :param tags: 字段名元组
  461. :param tag_values: 字段值组(list or pd.DataFrame)
  462. :param key_values: 主键值组(list or pd.DataFrame)
  463. :param flag: 控制是否打印日志
  464. :param split: 分批更新量
  465. :return:
  466. Examples: 参照 insertorupdatemany_v2
  467. # 单条 update sql tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10)
  468. update table
  469. set tag1=1, tag2='a'
  470. where (count_date, cid) =('2017-01-01', 10)
  471. # 多条组合 update sql
  472. # tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10);
  473. # tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10);
  474. update table
  475. set tag1 = case
  476. when (count_date, cid)=('2017-01-01', 10) then 1
  477. when (count_date, cid)=('2017-01-02', 20) then 2
  478. ...
  479. ,
  480. tag_2 = case
  481. when (count_date, cid)=('2017-01-01', 10) then 'a'
  482. when (count_date, cid)=('2017-01-02', 20) then 'b'
  483. ...
  484. where (count_date, cid)=('2017-01-01', 10) or (count_date, cid)=('2017-01-02', 20) or ...
  485. """
  486. if len(tag_values) > split:
  487. length = len(tag_values)
  488. for i in range(0, length, split):
  489. start, finish = i, i + split
  490. self.update_many(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  491. return
  492. if len(key_values) == 0 or len(tag_values) == 0:
  493. log.debug('update 0 rows')
  494. return
  495. tag_values = self._convert_to_list(tag_values)
  496. key_values = self._convert_to_list(key_values)
  497. if self._check_repeat_key(key_values):
  498. return
  499. update_value = []
  500. sql_keys = ','.join(keys)
  501. if len(keys) > 1:
  502. sql_keys = '(' + sql_keys + ')'
  503. sql_key_values = ','.join(['%s'] * len(keys))
  504. if len(keys) > 1:
  505. sql_key_values = '(' + sql_key_values + ')'
  506. sql_set_list = []
  507. for i in range(len(tags)):
  508. sql_when_list = []
  509. for j in range(len(tag_values)):
  510. sql_when = """when %s=%s then %s """ % (sql_keys, sql_key_values, '%s')
  511. update_value.extend(key_values[j])
  512. update_value.append(tag_values[j][i])
  513. sql_when_list.append(sql_when)
  514. sql_when_concat = '\n\t'.join(sql_when_list)
  515. sql_set = """%s = case \n\t %s\n end""" % (tags[i], sql_when_concat)
  516. sql_set_list.append(sql_set)
  517. for _ in key_values:
  518. update_value.extend(_)
  519. sql_set_concat = ',\n'.join(sql_set_list)
  520. list_sql_condition = []
  521. for i in range(len(key_values)):
  522. row_condition_list = map(lambda x: '%s = %%s' % x, keys)
  523. sql_condition = """(%s)""" % ' and '.join(row_condition_list)
  524. list_sql_condition.append(sql_condition)
  525. sql_where = ' or '.join(list_sql_condition)
  526. # condition = ' or\n\t'.join([sql_keys + '=' + sql_key_values] * len(tag_values))
  527. # print condition
  528. sql = """update %s\n set %s\n where %s""" % (table, sql_set_concat, sql_where)
  529. if flag:
  530. log.info(sql % tuple(update_value))
  531. t0 = time.time()
  532. self.cursor.execute(sql, tuple(update_value))
  533. self.conn.commit()
  534. log.debug('update %s rows, cost: %s' % (len(key_values), time.time() - t0))
  535. def getColumn(self,table,flag=0):
  536. "获取表的所有列"
  537. sql="SELECT `COLUMN_NAME` FROM `INFORMATION_SCHEMA`.`COLUMNS` " \
  538. "WHERE `TABLE_NAME`='{}' ORDER BY ordinal_position".format(table)
  539. self.cursor.execute(sql)
  540. a= self.cursor.fetchall()
  541. str=''
  542. li=[]
  543. for i in a:
  544. str+=i[0]+','
  545. li.append(i[0])
  546. if flag:
  547. return li
  548. else:
  549. return str[:-1]