#oracle版
首先新建python脚本(d:/python/orclImport.py)
import os #引入os包
if __name__ == '__main__':
#遍历文件夹下所有的dmp文件，其中filename为所有文件、文件夹的名称。
#因为我文件夹下确定都是dmp文件，所以无需进行特殊判断
for filename in os.listdir("D:\dmp"):
# 调用cmd窗口，并执行dmp的导入命令
# 因为dmp文件数据量太大，我选择一条一条的去执行，就是如此，电脑已经打字都卡了
os.system("imp orcl/123456@127.0.0.1/zrr file=\"D:\dmp\\"+filename+"\" full=y ignore=y")
在命令行执行 python d:/python/orclImport.py
# mysql版
import os
import pymysql
# import datetime, time
# from config import *
database_table_name = "stockdata"
infile_path = 'E:/学习资料/stock_data'
outfile_path = 'E:/学习资料/stock_data1'
# 删除首行的股票代码和空行
def delblankline(infile, outfile):
infp = open(infile, "r")
outfp = open(outfile, "w")
lines = infp.readlines()
for li in lines[1:]:
if li.split():
outfp.writelines(li)
infp.close()
outfp.close()
def csv2bigcsv(path, outfile):
"""1.删除股票代码+空行 2.合并所有文件数据"""
# infp = open(infile, "r")
outfp = open(outfile, "w")
i = 1
for filename in os.listdir(path):
domain = os.path.abspath(path) # 获取文件夹的路径，也可去掉
filepath = os.path.join(domain, filename) # 文件的完整路径
infp = open(filepath, 'r') # 读取文件内容
lines = infp.readlines()
if i == 1: outfp.writelines(lines[3].split())
for li in lines[5:]:
if li.split():
outfp.writelines(li)
infp.close()
i += 1
outfp.close()
# 执行sql语句
def db_excute(sql):
# local_infile = 1 执行load data infile
db_info = {
'host': '127.0.0.1',
'user': 'root',
'password': 'root',
'port': 3306,
'database': 'test',
'charset': 'utf8',
'local_infile': 1
}
db = pymysql.connect(**db_info)
# db.set_charset('utf8')
cursor = db.cursor()
try:
cursor.execute(sql)
mit()
except pymysql.Error as e:
print(e)
finally:
db.close()
# 将单个csv文件插入数据库
def csv2mysql(file_path, database_table_name):
''' LOAD DATA LOCAL INFILE "/root/test/infohash_0603.txt"
INTO TABLE xl_log_analysis.infohash_0603
FIELDS TERMINATED BY ','
OPTIONALLY ENCLOSED BY '"' ESCAPED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES ( infohash );'''
'''LINES TERMINATED BY \\r\\n WIN 为\\r,LINUX 为\\n'''
# " LOAD DATA LOCAL INFILE '" + file_path + "'"\
# + " INTO TABLE " + database_table_name \
# + " FIELDS TERMINATED BY ',' " \
# + " OPTIONALLY ENCLOSED BY '\"' ESCAPED BY '\"' " \
# + " LINES TERMINATED BY '\\r\\n' " \
# + " IGNORE 5 LINES; "
# 报1148错误，可以本地开启local_infile服务
# set global local_infile = 'ON';
sql = '''LOAD DATA LOCAL INFILE '{0}' INTO TABLE {1}
CHARACTER SET UTF8
FIELDS TERMINATED BY ','
ENCLOSED BY '\"' ESCAPED BY '\"'
LINES TERMINATED BY '\\r\\n'
IGNORE 5 LINES (`symbol`, `date`, `opening_price`, `highest_price` , `lowest_price`, `closing_price`,
`change`, `trading_volume`, `turnover`, `circulation_market_value`, `total_value`,
`turnover_rate`, `post_resumption_price`, `report_type`, `report_time`, `PE_TTM`,
`PS_TTM`, `PCF_TTM`, `PB`, `ex_duplicate_price`, `tradable_share`, `total_stock_issue`,
`total_assets`, `current_asset`, `gross_liabilities`, `current_liabilities`, `total_operating_income`,
`operating_income`, `total_operating_costs`, `operating_costs`, `operating_profit`, `net_profits`,
`selling_expenses`, `administration_expenses`, `financial_expenses`, `net_cash_flow`,
`NOCF`, `NICF`, `NFCF`, `ROE_TTM`);'''.format(file_path, database_table_name)
db_excute(sql)
# print(sql)
# 将文件路径下的所有csv文件插入数据库
def to_mysql(infile_path, database_table_name):
for filename in os.listdir(infile_path):
print('正在上传：', filename)
# domain = os.path.abspath(infile_path) # 获取文件夹的路径，也可去掉
# file_path = os.path.join(domain, filename) # 文件的完整路径
file_path = infile_path + '/' + filename
# print('file_path: ',file_path)
csv2mysql(file_path, database_table_name)
if __name__ == '__main__':
# delblankline("sh600000.csv", "sh600000_.csv")
# csv2bigcsv(infile_path, "all-groups.csv")
# 创建新表
createtable_sql = '''CREATE TABLE IF NOT EXISTS `{0}` (
`id` INT NOT NULL AUTO_INCREMENT COMMENT 'ID',
`symbol` VARCHAR ( 10 ) DEFAULT NULL COMMENT '股票代码',
`date` DATE DEFAULT NULL COMMENT '日期',
`opening_price` FLOAT DEFAULT NULL COMMENT '开盘价',
`highest_price` FLOAT DEFAULT NULL COMMENT '最高价',
`lowest_price` FLOAT DEFAULT NULL COMMENT '最低价',
`closing_price` FLOAT DEFAULT NULL COMMENT '收盘价',
`change` FLOAT DEFAULT NULL COMMENT '涨跌幅',
`trading_volume` BIGINT DEFAULT NULL COMMENT '交易量',
`turnover` BIGINT DEFAULT NULL COMMENT '交易额',
`circulation_market_value` BIGINT DEFAULT NULL COMMENT '流通市值',
`total_value` BIGINT DEFAULT NULL COMMENT '总市值',
`turnover_rate` FLOAT DEFAULT NULL COMMENT '换手率',
`post_resumption_price` FLOAT DEFAULT NULL COMMENT '后复权价格',
`report_type` VARCHAR ( 64 ) DEFAULT NULL COMMENT '报告类型',
`report_time` DATE DEFAULT NULL COMMENT '报告时间',
# 市盈率PE 市净率PB 市销率PS 市现率PCF
`PE_TTM` FLOAT DEFAULT NULL COMMENT '市盈率TTM',
`PS_TTM` FLOAT DEFAULT NULL COMMENT '市销率TTM',
`PCF_TTM` FLOAT DEFAULT NULL COMMENT '市现率TTM',
`PB` FLOAT DEFAULT NULL COMMENT '市净率',
`ex_duplicate_price` FLOAT DEFAULT NULL COMMENT '前复权价格',
`tradable_share` BIGINT DEFAULT NULL COMMENT '流通股本',
`total_stock_issue` BIGINT DEFAULT NULL COMMENT '总股本',
`total_assets` BIGINT DEFAULT NULL COMMENT '总资产',
`current_asset` BIGINT DEFAULT NULL COMMENT '流动资产',
`gross_liabilities` BIGINT DEFAULT NULL COMMENT '总负债',
`current_liabilities` BIGINT DEFAULT NULL COMMENT '流动负债',
`total_operating_income` BIGINT DEFAULT NULL COMMENT '营业总收入',
`operating_income` BIGINT DEFAULT NULL COMMENT '营业收入',
`total_operating_costs` BIGINT DEFAULT NULL COMMENT '营业总成本',
`operating_costs` BIGINT DEFAULT NULL COMMENT '营业成本',
`operating_profit` BIGINT DEFAULT NULL COMMENT '营业利润',
`net_profits` BIGINT DEFAULT NULL COMMENT '净利润',
`selling_expenses` BIGINT DEFAULT NULL COMMENT '销售费用',
`administration_expenses` BIGINT DEFAULT NULL COMMENT '管理费用',
`financial_expenses` BIGINT DEFAULT NULL COMMENT '财务费用',
`net_cash_flow` BIGINT DEFAULT NULL COMMENT '净现金流',
`NOCF` BIGINT DEFAULT NULL COMMENT '经营活动净现金流operating activities',
`NICF` BIGINT DEFAULT NULL COMMENT '投资活动净现金流investment activities',
`NFCF` BIGINT DEFAULT NULL COMMENT '筹资活动净现金流financing activities',
`ROE_TTM` BIGINT DEFAULT NULL COMMENT '净资产收益率TTM Net asset yield',
PRIMARY KEY ( `id` )
) ENGINE = INNODB DEFAULT CHARSET = UTF8MB4;'''.format(database_table_name)
db_excute(createtable_sql) # 创建新表
print(createtable_sql)
to_mysql(infile_path, database_table_name) # 导入infohash数据到mysql xl_log_analysis 表
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