dataframe. to_ Sql() inserts too many errors at one time

utilize to_sql() Method   take dataframe Insert data from into database ; I have no problem with what I used before , This sudden error report ,

system error: 10054 The remote host forced an existing connection to be closed .

At first, I thought it was the sum of connection numbers pool The problem of , It's the same mistake to adjust parameters for a long time ,

Later, it suddenly occurred to me whether the amount of data submitted at one time was too large, causing me to start testing small batch submissions , The mistake disappeared . Embarrassing error reporting

Log in and copy

      
      

       
       # df Paging insert   pageSize  exceed 3000 Just report a mistake 
       
       
count = len(df_point)
       
       
pageSize = 500
       
       
page = math.ceil(count / pageSize)
       
       
#  Insert in batches 
       
       
for i in range(page):
       
       
    start = pageSize * i
       
       
    end = pageSize * (i + 1)
       
       
    if end > count:
       
       
        end = count
       
       
    df = df_point.iloc[start:end]
       
       
    #  Insert POINT surface   Do not insert index columns     If the table exists, add records 
       
       
    df.to_sql("POINT", engine, index=False, if_exists='append')
      
      
      
      

       
       
1.
       
       
2.
       
       
3.
       
       
4.
       
       
5.
       
       
6.
       
       
7.
       
       
8.
       
       
9.
       
       
10.
       
       
11.
       
       
12.
       
       
13.