hdfshive_0">将excel文件转成txt文件,再将txt文件上传hdfs,最后传入hive中
注意的点
(1)先判断写入的txt文件是否存在,如果不存在就需要创建路径
(2)如果txt文件已经存在,那么先将对应的文件进行删除后再写入txt数据
(3)excel文件中有可能第一行是字段名,需要跳过
1.利用python将excel转成txt文件
from datetime import datetime, timedelta
import os
import pytz
import pandas as pd
def excel_to_txt(name, date):
# Read Excel file into a DataFrame
df = pd.read_excel(f'data/excel/{name}.xlsx', header=None, skiprows=1)
# Define output directory and path
output_directory = os.path.join('data', 'txt', date)
os.makedirs(output_directory, exist_ok=True) # Create directory if it doesn't exist
output_path = os.path.join(output_directory, f'{name}.txt')
# Check if the file already exists, if so, remove it
if os.path.exists(output_path):
os.remove(output_path)
print(f'Existing file {output_path} removed.')
# Write DataFrame to a new text file
print('开始写入txt文件')
df.to_csv(output_path, header=None, sep='\t', index=False)
print('文件写入成功!')
return output_path
if __name__ == '__main__':
current_time = datetime.now(pytz.timezone('Asia/Shanghai'))
one_day_ago = (current_time - timedelta(days=1)).strftime('%Y-%m-%d')
local_file_path = excel_to_txt('IS_GS_Recruitment_Data_20231211', one_day_ago)
print(local_file_path)
drop table if exists ticket.test_text;
create external table IF NOT EXISTS ticket.test_text
(
name string,
age int
) comment ''
row format delimited fields terminated by '\t'
lines terminated by '\n'
NULL DEFINED AS ''
stored as textfile
LOCATION '/warehouse/ticket/ods/test_text';
load data inpath '/origin_data/test.txt' overwrite into table ticket.test_text;