安娜档案馆读秀数据的元数据竟然就有 458G

如题，解压前 26G ，解压后 458G

让 GPT 写了个脚本转到 sqlite ，看看会有多大。

脚本如下：

# -*- coding: utf-8 -*-
import sqlite3
import json

def create_table_from_jsonl(file_path, db_path):
    # 连接到 SQLite 数据库
    conn = sqlite3.connect(db_path)
    cursor = conn.cursor()

    # 读取第一行以推断表结构
    with open(file_path, 'r', encoding='utf-8') as file:
        first_line = file.readline()
        first_record = json.loads(first_line)
        columns = list(first_record.keys())

        # 创建具有推断列的表
        columns_definition = ", ".join([f"{col} TEXT" for col in columns])
        cursor.execute(f"CREATE TABLE IF NOT EXISTS data ({columns_definition});")
        conn.commit()

    write_count = 0  # 写入计数器

    # 插入其余数据
    with open(file_path, 'r', encoding='utf-8') as file:
        for line in file:
            record = json.loads(line)
            placeholders = ", ".join(["?"] * len(columns))
            values = [json.dumps(record.get(col, None)) if isinstance(record.get(col, None), (dict, list)) else record.get(col, None) for col in columns]

            # 只在值数量和列数量一致时执行插入操作
            if len(values) == len(columns):
                cursor.execute(f"INSERT INTO data ({', '.join(columns)}) VALUES ({placeholders});", values)
                write_count += 1
                print(f"这是第 {write_count} 次写入")

            else:
                print(f"Skipping record due to mismatched column count: {record}")

            # 定期提交以保存更改并释放内存
            if write_count % 1000 == 0:
                conn.commit()

    # 最终提交并关闭连接
    conn.commit()
    conn.close()

# 上传的 JSONL 文件路径
file_path = '/mnt/data/sample.jsonl'
# SQLite 数据库文件路径
db_path = '/mnt/data/sample.db'

# 创建表并插入数据
create_table_from_jsonl(file_path, db_path)

print("数据已成功写入 SQLite 数据库。")

ps V 站这个 markdown 没有语法高亮的么……