DataBaseOperation.py 21 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631
  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. self.cursor.execute(sql,data)
  62. else:
  63. self.cursor.execute(sql)
  64. self.conn.commit()
  65. if MYSQL_DEBUG:
  66. # log.info('sql: \n' + sql)
  67. log.info('sql cost: %s' % (time.time() - start))
  68. def executeMany(self,sql,data):
  69. start = time.time()
  70. self.cursor.executemany(sql,data)
  71. self.conn.commit()
  72. if MYSQL_DEBUG:
  73. log.info('sql: \n' + sql)
  74. log.info('sql cost: %s' % (time.time() - start))
  75. def getOne(self,sql, args=None):
  76. result = self.getData(sql, args)
  77. return result[0][0]
  78. def getData_pd(self, sql, args=None):
  79. start = time.time()
  80. # if args:
  81. # log.debug(sql % tuple(args))
  82. # else:
  83. # log.debug(sql)
  84. self.cursor.execute(sql, args=args)
  85. num_fields = len(self.cursor.description)
  86. field_names = [i[0] for i in self.cursor.description]
  87. df = self.cursor.fetchall()
  88. df = pd.DataFrame(data=list(df), columns=field_names)
  89. if MYSQL_DEBUG:
  90. sql_str = sql % tuple(args) if args else sql
  91. log.info('sql: \n' + sql_str)
  92. log.info('sql cost: %s' % (time.time() - start))
  93. return df
  94. def insertData(self, sql, args=None):
  95. # if args:
  96. # log.debug(sql % tuple(args))
  97. # else:
  98. # log.debug(sql)
  99. start = time.time()
  100. self.cursor.execute(sql, args=args)
  101. if MYSQL_DEBUG:
  102. sql_str = sql % tuple(args) if args else sql
  103. log.info('sql: \n' + sql_str)
  104. log.info('sql cost: %s' % (time.time() - start))
  105. self.conn.commit()
  106. def executeWithoutCommit(self, sql, args=None):
  107. return self.cursor.execute(sql, args=args)
  108. def commit(self):
  109. self.conn.commit()
  110. def insertorupdate(self, table, keys, tags, tagvalue, flag, *args):
  111. """
  112. :param table: 表名
  113. :param keys: 联合主键名元组
  114. :param tags: 字段名元组
  115. :param tagvalue: 字段值
  116. :param args: 主键值
  117. :param flag: 控制是否打印日志
  118. :return:
  119. """
  120. # log.info(tags)
  121. sql = "INSERT INTO " + table + " ("
  122. sql += ",".join(keys) + ","
  123. sql += ",".join(tags)
  124. sql += ") SELECT "
  125. sql += "%s," * len(keys)
  126. sql += ("%s," * len(tags))[:-1]
  127. sql += " FROM DUAL WHERE NOT EXISTS (SELECT id FROM " + table
  128. sql += " WHERE "
  129. for _ in keys:
  130. sql += _ + "=%s AND "
  131. sql = sql[:-4]
  132. sql += "LIMIT 1)"
  133. arg = list(args)
  134. arg.extend(tagvalue)
  135. arg.extend(list(args))
  136. rows = self.cursor.execute(sql, args=arg)
  137. if rows == 0:
  138. sql = "UPDATE " + table + " SET "
  139. for _ in tags:
  140. sql += _ + "=%s,"
  141. sql = sql[:-1]
  142. sql += " WHERE "
  143. for _ in keys:
  144. sql += _ + "=%s AND "
  145. sql = sql[:-4]
  146. arg = []
  147. arg.extend(tagvalue)
  148. arg.extend(list(args))
  149. self.cursor.execute(sql, args=arg)
  150. if flag:
  151. log.info(sql % tuple(arg))
  152. self.conn.commit()
  153. def _insertorupdate(self, table, keys, tags, tag_value, flag, key_value, update=False):
  154. if not update:
  155. sql = "INSERT INTO " + table + " ("
  156. sql += ",".join(keys) + ","
  157. sql += ",".join(tags)
  158. sql += ") SELECT "
  159. sql += "%s," * len(keys)
  160. sql += ("%s," * len(tags))[:-1]
  161. sql += " FROM DUAL WHERE NOT EXISTS (SELECT id FROM " + table
  162. sql += " WHERE "
  163. for _ in keys:
  164. sql += _ + "=%s AND "
  165. sql = sql[:-4]
  166. sql += "LIMIT 1)"
  167. arg = list(key_value)
  168. arg.extend(tag_value)
  169. arg.extend(list(key_value))
  170. rows = self.cursor.execute(sql, args=arg)
  171. if rows == 0:
  172. sql = "UPDATE " + table + " SET "
  173. for _ in tags:
  174. sql += _ + "=%s,"
  175. sql = sql[:-1]
  176. sql += " WHERE "
  177. for _ in keys:
  178. sql += _ + "=%s AND "
  179. sql = sql[:-4]
  180. arg = []
  181. arg.extend(tag_value)
  182. arg.extend(list(key_value))
  183. self.cursor.execute(sql, args=arg)
  184. if flag:
  185. log.info(sql % tuple(arg))
  186. else:
  187. sql = "UPDATE " + table + " SET "
  188. for _ in tags:
  189. sql += _ + "=%s,"
  190. sql = sql[:-1]
  191. sql += " WHERE "
  192. for _ in keys:
  193. sql += _ + "=%s AND "
  194. sql = sql[:-4]
  195. arg = []
  196. arg.extend(tag_value)
  197. arg.extend(list(key_value))
  198. self.cursor.execute(sql, args=arg)
  199. if flag:
  200. log.info(sql % tuple(arg))
  201. def _insert_on_duplicate(self, table, keys, tags, tag_value, flag, key_value):
  202. name_all = list(keys)
  203. name_all.extend(tags)
  204. arg = list(key_value)
  205. arg.extend(tag_value)
  206. arg.extend(tag_value)
  207. sql_name = '(' + ','.join(name_all) + ')'
  208. sql_value = '(' + ','.join(['%s'] * len(name_all)) + ')'
  209. sql_update = ','.join([_ + '=%s' for _ in tags])
  210. sql = """
  211. insert into %s
  212. %s
  213. VALUES %s
  214. ON duplicate key UPDATE %s
  215. """ % (table, sql_name, sql_value, sql_update)
  216. self.cursor.execute(sql, args=arg)
  217. if flag:
  218. log.debug(sql % tuple(arg))
  219. def insertorupdatemany(self, table, keys, tags, tag_values, key_values, flag=False, unique_key=False, update=False):
  220. """
  221. :param table: 表名
  222. :param keys: 联合主键名元组
  223. :param tags: 字段名元组
  224. :param tag_values: 字段值组(list or pd.DataFrame)
  225. :param key_values: 主键值组(list or pd.DataFrame)
  226. :param flag: 控制是否打印日志
  227. :param unique_key: keys 是否为table的 unique_key
  228. :return:
  229. ps: 效率(外网): rows / 50; 1000以上更新使用
  230. """
  231. if isinstance(tag_values, pd.DataFrame):
  232. list_tag_value = [list(tag_values.iloc[_, :]) for _ in range(len(tag_values))]
  233. else:
  234. list_tag_value = list(tag_values)
  235. if isinstance(key_values, pd.DataFrame):
  236. list_key_value = [list(key_values.iloc[_, :]) for _ in range(len(key_values))]
  237. else:
  238. list_key_value = list(key_values)
  239. for _ in range(len(list_tag_value)):
  240. tag_value = list_tag_value[_]
  241. key_value = list_key_value[_]
  242. if unique_key:
  243. self._insert_on_duplicate(table, keys, tags, tag_value, flag, key_value)
  244. else:
  245. self._insertorupdate(table, keys, tags, tag_value, flag, key_value, update)
  246. self.conn.commit()
  247. def _check_repeat_key(self, key_list):
  248. tmp = list(map(lambda x: tuple(x), key_list))
  249. if len(tmp) == len(set(tmp)):
  250. return False
  251. else:
  252. last_data = -1
  253. repeat_key = set()
  254. for i in sorted(tmp):
  255. if last_data == i:
  256. repeat_key.add(i)
  257. if len(repeat_key) >= 10:
  258. break
  259. last_data = i
  260. log.error('Reject repeated keys')
  261. log.error('repeat_key: %s' % repeat_key)
  262. return True
  263. def _convert_to_list(self, data):
  264. if isinstance(data, pd.DataFrame):
  265. # np.nan != np.nan 从而判断值为np.nan
  266. list_data = [map(lambda x: None if x != x else x, list(data.iloc[_, :])) for _ in range(len(data))]
  267. li =[]
  268. for i in list_data:
  269. li.append(list(i))
  270. list_data = li
  271. else:
  272. list_data = list(data)
  273. return list_data
  274. def _get_exist_keys_index(self, table, keys, key_values, flag=False):
  275. list_sql_when = []
  276. list_tmp = []
  277. for i in range(len(key_values)):
  278. sql_when = """when (%s)=(%s) then %s""" % (','.join(keys), ','.join(['%s'] * len(key_values[i])), i)
  279. list_sql_when.append(sql_when)
  280. list_tmp.extend(key_values[i])
  281. list_sql_condition = []
  282. for i in range(len(key_values)):
  283. # sql_condition_old = """(%s)=(%s)""" % (','.join(keys), ','.join(['%s'] * len(key_values[i])))
  284. row_condition_list = map(lambda x: '%s = %%s' % x, keys)
  285. sql_condition = """(%s)""" % ' and '.join(row_condition_list)
  286. # print sql_condition_old, sql_condition
  287. list_sql_condition.append(sql_condition)
  288. list_tmp.extend(key_values[i])
  289. sql_where = ' or '.join(list_sql_condition)
  290. sql_case = '\n'.join(list_sql_when)
  291. sql = """
  292. select
  293. case
  294. %s
  295. end
  296. from %s
  297. where %s
  298. """ % (sql_case, table, sql_where)
  299. if flag:
  300. log.info(sql % tuple(list_tmp))
  301. self.cursor.execute(sql, tuple(list_tmp))
  302. print()
  303. result = self.cursor.fetchall()
  304. return map(lambda x: x[0], result)
  305. def insertorupdatemany_v2(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  306. """
  307. 更新插入多条数据(无key时自动插入, 有keys时更新)
  308. :param table: 表名
  309. :param keys: 联合主键名元组
  310. :param tags: 字段名元组
  311. :param tag_values: 字段值组(list or pd.DataFrame)
  312. :param key_values: 主键值组(list or pd.DataFrame)
  313. :param flag: 控制是否打印日志
  314. :param split: 切割阈值
  315. :return:
  316. ps: 效率(外网): rows^2 / 50000; rows以split为单位分批更新
  317. """
  318. if not isinstance(tag_values, (tuple, list, pd.DataFrame)):
  319. log.error('Type Error')
  320. exit(-1)
  321. return
  322. if len(tag_values) > split:
  323. length = len(tag_values)
  324. for i in range(0, length, split):
  325. start, finish = i, i + split
  326. self.insertorupdatemany_v2(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  327. return
  328. if len(key_values) == 0 or len(tag_values) == 0:
  329. log.debug('insert or update 0 rows')
  330. return
  331. tag_values = self._convert_to_list(tag_values)
  332. key_values = self._convert_to_list(key_values)
  333. assert self._check_repeat_key(key_values) == False
  334. exist_key_index = list(self._get_exist_keys_index(table, keys, key_values, flag))
  335. new_key_index = list(set(range(len(key_values))) - set(exist_key_index))
  336. update_keys = list(map(lambda x: key_values[x], exist_key_index))
  337. update_tags = list(map(lambda x: tag_values[x], exist_key_index))
  338. insert_keys = list(map(lambda x: key_values[x], new_key_index))
  339. insert_tags = list(map(lambda x: tag_values[x], new_key_index))
  340. self.insert_many(table=table,
  341. keys=keys,
  342. tags=tags,
  343. tag_values=insert_tags,
  344. key_values=insert_keys,
  345. flag=flag)
  346. self.update_many(table=table,
  347. keys=keys,
  348. tags=tags,
  349. tag_values=update_tags,
  350. key_values=update_keys,
  351. flag=flag,
  352. split=split)
  353. def insertorupdatemany_v3(self, df, table, keys, tags, flag=False, split=80):
  354. self.insertorupdatemany_v2(
  355. table=table,
  356. keys=keys,
  357. tags=tags,
  358. tag_values=df[tags],
  359. key_values=df[keys],
  360. flag=flag,
  361. split=split
  362. )
  363. def _get_s_format(self, data):
  364. """
  365. Args:
  366. data: [[featureA1, featureB1, ...], [featureA2, featureB2, ...], ...]
  367. Returns:
  368. format of %s and real value
  369. Example:
  370. [['2017-07-01', 78], ['2017-07-01', 1]] ->
  371. ('((%s, %s), (%s, %s))', ['2017-07-01', 78, '2017-07-01', 1])
  372. """
  373. list_tmp_s = []
  374. values = []
  375. for _ in data:
  376. tmp_s = ','.join(len(_) * ['%s'])
  377. values.extend(_)
  378. if len(_) > 1:
  379. tmp_s = '(' + tmp_s + ')'
  380. list_tmp_s.append(tmp_s)
  381. format_s = '(' + ','.join(list_tmp_s) + ')'
  382. return format_s, values
  383. def delete_by_key(self, table, keys, key_values, flag=False):
  384. """
  385. Args:
  386. table: 表名
  387. keys: 联合主键名元组
  388. key_values: 主键值组(list or pd.DataFrame)
  389. flag: 控制是否打印日志
  390. Examples:
  391. delete_by_key('table_test', keys=['date'], key_values=[['2017-07-01'], ['2017-07-02']], flag=False)
  392. delete_by_key('table_test', keys=['date'], key_values=['2017-07-01'], flag=False)
  393. """
  394. if len(key_values) == 0:
  395. return
  396. if not (isinstance(key_values[0], (list, tuple)) or isinstance(key_values, pd.DataFrame)):
  397. key_values_list = [key_values]
  398. else:
  399. key_values_list = self._convert_to_list(key_values)
  400. sql_keys = '(' + ','.join(keys) + ')'
  401. contact_s, values_s = self._get_s_format(key_values_list)
  402. sql_del = """
  403. delete from %s
  404. where %s in %s
  405. """ % (table, sql_keys, contact_s)
  406. if flag:
  407. log.debug(sql_del % tuple(values_s))
  408. self.cursor.execute(sql_del, tuple(values_s))
  409. self.conn.commit()
  410. def insert_many(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  411. """
  412. 直接插入多条数据
  413. :param table: 表名
  414. :param keys: 联合主键名元组
  415. :param tags: 字段名元组
  416. :param tag_values: 字段值组(list or pd.DataFrame)
  417. :param key_values: 主键值组(list or pd.DataFrame)
  418. :param flag: 控制是否打印日志
  419. :return:
  420. Examples: 参照 insertorupdatemany_v2
  421. insert into table
  422. (count_date, cid, tag1, tag2)
  423. values ('2017-01-01', 10, 1, 'a'), ('2017-01-02', 20, 2, 'b'), ...
  424. """
  425. if len(key_values) == 0 or len(tag_values) == 0:
  426. log.debug('insert 0 rows')
  427. return
  428. if len(tag_values) > split:
  429. length = len(tag_values)
  430. for i in range(0, length, split):
  431. start, finish = i, i + split
  432. self.insert_many(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  433. return
  434. tag_values = self._convert_to_list(tag_values)
  435. key_values = self._convert_to_list(key_values)
  436. feature_total = "(" + ",".join(keys + tags) + ")"
  437. tmp_s = "(" + ",".join(["%s"] * len(keys + tags)) + ")"
  438. tmp_s_concat = ",\n".join([tmp_s] * len(key_values))
  439. sql_insert = """
  440. Insert into %s
  441. %s
  442. values %s""" % (table, feature_total, tmp_s_concat)
  443. value_insert = []
  444. for _ in zip(key_values, tag_values):
  445. value_insert.extend(_[0] + _[1])
  446. if flag:
  447. log.debug(sql_insert % tuple(value_insert))
  448. t0 = time.time()
  449. self.cursor.execute(sql_insert,tuple(value_insert))
  450. log.debug('insert %s rows, cost: %s' % (len(key_values), time.time() - t0))
  451. self.conn.commit()
  452. def update_many(self, table, keys, tags, tag_values, key_values, flag=False, split=80):
  453. """
  454. 更新多条数据(无key时不会自动插入)
  455. :param table: 表名
  456. :param keys: 联合主键名元组
  457. :param tags: 字段名元组
  458. :param tag_values: 字段值组(list or pd.DataFrame)
  459. :param key_values: 主键值组(list or pd.DataFrame)
  460. :param flag: 控制是否打印日志
  461. :param split: 分批更新量
  462. :return:
  463. Examples: 参照 insertorupdatemany_v2
  464. # 单条 update sql tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10)
  465. update table
  466. set tag1=1, tag2='a'
  467. where (count_date, cid) =('2017-01-01', 10)
  468. # 多条组合 update sql
  469. # tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10);
  470. # tag1=1, tag2='a' 插入到 (count_date, cid) =('2017-01-01', 10);
  471. update table
  472. set tag1 = case
  473. when (count_date, cid)=('2017-01-01', 10) then 1
  474. when (count_date, cid)=('2017-01-02', 20) then 2
  475. ...
  476. ,
  477. tag_2 = case
  478. when (count_date, cid)=('2017-01-01', 10) then 'a'
  479. when (count_date, cid)=('2017-01-02', 20) then 'b'
  480. ...
  481. where (count_date, cid)=('2017-01-01', 10) or (count_date, cid)=('2017-01-02', 20) or ...
  482. """
  483. if len(tag_values) > split:
  484. length = len(tag_values)
  485. for i in range(0, length, split):
  486. start, finish = i, i + split
  487. self.update_many(table, keys, tags, tag_values[start:finish], key_values[start:finish], flag, split=split)
  488. return
  489. if len(key_values) == 0 or len(tag_values) == 0:
  490. log.debug('update 0 rows')
  491. return
  492. tag_values = self._convert_to_list(tag_values)
  493. key_values = self._convert_to_list(key_values)
  494. if self._check_repeat_key(key_values):
  495. return
  496. update_value = []
  497. sql_keys = ','.join(keys)
  498. if len(keys) > 1:
  499. sql_keys = '(' + sql_keys + ')'
  500. sql_key_values = ','.join(['%s'] * len(keys))
  501. if len(keys) > 1:
  502. sql_key_values = '(' + sql_key_values + ')'
  503. sql_set_list = []
  504. for i in range(len(tags)):
  505. sql_when_list = []
  506. for j in range(len(tag_values)):
  507. sql_when = """when %s=%s then %s """ % (sql_keys, sql_key_values, '%s')
  508. update_value.extend(key_values[j])
  509. update_value.append(tag_values[j][i])
  510. sql_when_list.append(sql_when)
  511. sql_when_concat = '\n\t'.join(sql_when_list)
  512. sql_set = """%s = case \n\t %s\n end""" % (tags[i], sql_when_concat)
  513. sql_set_list.append(sql_set)
  514. for _ in key_values:
  515. update_value.extend(_)
  516. sql_set_concat = ',\n'.join(sql_set_list)
  517. list_sql_condition = []
  518. for i in range(len(key_values)):
  519. row_condition_list = map(lambda x: '%s = %%s' % x, keys)
  520. sql_condition = """(%s)""" % ' and '.join(row_condition_list)
  521. list_sql_condition.append(sql_condition)
  522. sql_where = ' or '.join(list_sql_condition)
  523. # condition = ' or\n\t'.join([sql_keys + '=' + sql_key_values] * len(tag_values))
  524. # print condition
  525. sql = """update %s\n set %s\n where %s""" % (table, sql_set_concat, sql_where)
  526. if flag:
  527. log.info(sql % tuple(update_value))
  528. t0 = time.time()
  529. self.cursor.execute(sql, tuple(update_value))
  530. self.conn.commit()
  531. log.debug('update %s rows, cost: %s' % (len(key_values), time.time() - t0))
  532. def getColumn(self,table,flag=0):
  533. "获取表的所有列"
  534. sql="SELECT `COLUMN_NAME` FROM `INFORMATION_SCHEMA`.`COLUMNS` " \
  535. "WHERE `TABLE_NAME`='{}' ORDER BY ordinal_position".format(table)
  536. self.cursor.execute(sql)
  537. a= self.cursor.fetchall()
  538. str=''
  539. li=[]
  540. for i in a:
  541. str+=i[0]+','
  542. li.append(i[0])
  543. if flag:
  544. return li
  545. else:
  546. return str[:-1]