How Can I Optimize MySQL Insertion of Dictionary Lists Using `executemany` in Python?

Efficient MySQL Insertion of Dictionary Lists Using executemany in Python

Problem:

When scraping data from web tables into a MySQL database, an inefficient approach is employed, involving individual row insertions. The goal is to optimize this process using executemany.

Solution:

The executemany method allows for the insertion of multiple rows of data into a database table at once. In this case, the data is structured as a list of dictionaries, each representing a row of the table.

Instead of accessing the values of the dictionaries individually, as shown in the original code, the data should be appended to a list in the following format:

itemBank.append((
    tempRow2['Item_Name'],
    tempRow1['Item_Price'],
    tempRow3['Item_In_Stock'],
    tempRow4['Item_Max'], 
    getTimeExtra
)) #append data

The executemany method can then be used with the following query:

q = """ insert ignore into TABLE1 (
        Item_Name, Item_Price, Item_In_Stock, Item_Max, Observation_Date ) 
        values (%s,%s,%s,%s,%s)           
    """

Replacing the individual row insertions with the executemany method will significantly improve the efficiency of the database insertion process.

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