用python把hbase数据库中的数据读取出来保存到txt文件并存入到hive中

通过sql语句，以’t’为划分符号进行划分

代码如下：

import happybase
import numpy as np
import pandas as pd
from pyhive import hive
conn = hive.connect(host='192.168.43.148', port=10000, auth='NOSASL', username='沙粒',database='movie')
cursor = conn.cursor()
d_sql='drop table word'
c_sqr="create table if not exists movie.word(id int,name string,age int,tel string) ROW FORMAT DELIMITED FIELDS TERMINATER BY 't' STORED AS TEXTFILE"
connection = happybase.Connection('192.168.43.148',9090) 
table = connection.table('final_movie2')
k=[]
d=[]
word_count=[]
for key, data in table.scan():
    temp=key.decode('utf-8')
    t=temp.split(",")
    if " "in t[1]:
        continue
    k.append(t)
    temp2=list(data.values())
    t2=int(temp2[0].decode('utf-8'))
    d.append(t2)
    word_count.append([t[0],t[1],t2])

# f=open("word.txt",encoding="utf-8",mode="w")
# for w in word_count:
#     for m in w:
#         f.write(str(m)+'t')
#     f.write("n")
# f.close()

#print(word_count)
s_sql='load data local inpath "word.txt" into table final_word'
#cursor.execute(d_sql)

cursor.execute(s_sql)
cursor.execute('select * from final_word')
result = cursor.fetchall()
print(result)