0
0

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

INSERT,UPDATE文作成

Posted at
home
./csv
./csv/input.csv
./csv/output.csv
insert.py
insert2.py
update.py
insert.py
import pandas as pd

# CSVファイルのパス
csv_file_path = './csv/input.csv'

def create_insert_query(table_name, columns, values):
    # バルクインサートクエリの作成
    formatted_values = ', '.join(['(' + ', '.join([f"'{str(val)}'" for val in row]) + ')' for row in values])
    query = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES {formatted_values}"
    return query

def main():
    # CSVファイルからデータを読み取り
    data_frame = pd.read_csv(csv_file_path)

    # バルクインサートを実行するテーブル名
    table_name = 'your_table_name'

    # バルクインサート用のクエリを作成
    insert_query = create_insert_query(table_name, data_frame.columns, data_frame.values.tolist())

    # 作成したクエリを表示(確認用)
    print(insert_query)

if __name__ == "__main__":
    main()

insert2.py

import csv

tablename = 'table_name'

def process_csv_in_batches(file_path):
    with open(file_path, 'r', newline='', encoding='utf-8') as csvfile:
        data_rows = ""
        csv_reader = csv.reader(csvfile)
        header = next(csv_reader)  # ヘッダーを取得
        column = ",".join(header)
        insert = f"INSERT INTO {tablename} ({column}) VALUES "

        for row in csv_reader:
            data_row = ""
            for data in row:
                data_row += f",\'{data}\'"
            data_rows += f"({data_row[1:]}),"

    write_to_csv('./csv/output.csv', insert + data_rows[:-1])

def write_to_csv(output_path, data):
    f = open(output_path, 'w')
    f.write(data)
    f.close()

# CSVファイルのパスを指定して実行
csv_file_path = './csv/input.csv'  # あなたのCSVファイルの実際のパスに変更してください
process_csv_in_batches(csv_file_path)

update.py
import csv


INPUT_CSV_PATH= './csv/input.csv'
OUTPUT_CSV_PATH = './csv/output.csv'

tablename = 'table_name'
update = f"UPDATE {tablename} SET "
where_flag = False
where = "A = 1"

def process_csv_in_batches(file_path):
    with open(file_path, 'r', newline='', encoding='utf-8') as csvfile:
        csv_reader = csv.reader(csvfile)
        header = next(csv_reader)  # ヘッダーを取得
        data_rows = ""
        data_row = ""
        data = ""
        for rows in csv_reader:
            data_row = ""
            for i, row in enumerate(rows):
                data_row += f"{header[i]} = \'{row}\',"

            if where_flag:
                data += f"{update}{data_row[:-1]} WHERE {where};\r\n"
            else:
                data += f"{update}{data_row[:-1]};\r\n"

    data_rows += data
    write_to_csv(OUTPUT_CSV_PATH , data_rows[:-1])

def write_to_csv(output_path, data):
    f = open(output_path, 'w')
    f.write(data)
    f.close()

# CSVファイルのパスを指定して実行
process_csv_in_batches(INPUT_CSV_PATH)



0
0
0

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
0
0

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?