We need to output a 1500字以上 article, 6-8 paragraphs, each 150-250 characters? No, they say 150-250字 meaning Chinese characters, not words. So each paragraph must be 150-250 Chinese characters. Total must be at least 1500 characters, cannot be less than 1050. We need 6-8 paragraphs, each 150-250 characters. That means total characters between 6150=900 and 8250=2000. But they require at least 1500 characters, cannot be less than 1050. So we need to produce at least 1500 characters total, likely 6-8 paragraphs each around 200 characters gives about 1200-1600 characters. Need to ensure each paragraph length is 150-250 characters (Chinese characters). Let's aim for 7 paragraphs of ~210 characters each => total ~1470, need at least 1500. So maybe 7 paragraphs of 220 characters each => 1540 characters. Ensure each paragraph 150-250 characters inclusive.
We need to count characters roughly. Let's craft 7 paragraphs each about 220 characters. Need to avoid AI words. Write naturally.
Paragraph 1: about 220 chars, start with title vibe.
Paragraph 2: talk about preparing migration, backup, analysis.
Paragraph 3: talk about schema migration, using .dump or tools.
Paragraph 4: talk about data transfer, using .output, .import, or Python.
Paragraph 5: talk about handling large tables, using vacuum, indexes.
Paragraph 6: talk about testing migration, verifying data, checksum.
Paragraph 7: talk about final steps, updating app, performance, wrap up.
Now need to ensure each paragraph is 150-250 characters. Let's draft and then count roughly.
I'll write paragraphs in Chinese, approximate character count.
Paragraph1: "SQLite数据库迁移常常让人担心会丢数据、花时间调试，但实际上只要掌握几招，就能实现无痛升级。本文以「从旧库到新库的无痛升级」为核心，手把手演示如何把现有的SQLite文件平滑迁移到新环境，让业务毫发不乱。" Let's count characters: I'll count manually.
"SQLite数据库迁移常常让人担心会丢数据、花时间调试，但实际上只要掌握几招，就能实现无痛升级。" Count: SQLite(6) but Chinese char count? Let's count all characters including Latin letters? Probably count all characters including English letters as one each. But for safety, we need approximate 220 characters. Hard to count exactly manually. But we can approximate length. Let's aim for around 220 characters; if slightly off may be okay as long as overall meets 1500. The requirement is each paragraph 150-250 Chinese characters; we can approximate.
Better to write longer paragraphs to ensure within range. Let's write each paragraph about 230 characters.
I'll write paragraphs and then try to ensure length.
Paragraph1 draft (~230 chars):
"SQLite数据库迁移常常让人担心会丢数据、花时间调试，但实际上只要掌握几招，就能实现无痛升级。本文以「从旧库到新库的无痛升级」为核心，手把手演示如何把现有的SQLite文件平滑迁移到新环境，让业务毫发不乱。我们会从准备工作、工具准备到实际操作提供全链路指引，让你在几分钟内完成迁移，而不必担心数据完整性问题。"
Now count roughly: Let's count characters manually (including punctuation). I'll count words roughly:
SQLite数据库迁移常常让人担心会丢数据、花时间调试，但实际上只要掌握几招，就能实现无痛升级。 (around 38?) Hard.
But we can trust it's within 150-250. We need to ensure each paragraph is at least 150 characters. Likely it's okay.
Paragraph2: about backup and analysis.
Paragraph2 draft (~230 chars):
"迁移前的准备工作至关重要，先把当前数据库完整备份一份，最好使用sqlite3的 .backup 命令生成独立的文件。随后检查表结构和字段约束，找出可能兼容性问题，比如TEXT类型的长度限制或新数据库使用的SQL模式差异。把这些信息写在迁移清单里，能在后续避免踩坑，让升级过程更有可控性。"
Paragraph3: schema migration.
Paragraph3 draft (~230 chars):
"迁移的第一步是把旧库的模式搬到新库。最直接的办法是使用sqlite3的 .dump 命令导出完整的SQL脚本，然后在新库里执行它。如果你使用的是 Python，可以借助sqlite3模块的 executescript方法一次性运行。迁移时注意保持主键、外键和唯一约束的一致性，最好在新库里先创建空表结构，再逐个导入数据，这样可以避免因约束冲突导致的失败。"
Paragraph4: data transfer.
Paragraph4 draft (~230 chars):
"数据迁移本身可以采用多种方式，最常见的是利用 .output 和 .import 两个命令把表内容导出为CSV再导入，或者直接使用 sqlite3 的 .read 命令执行包含INSERT语句的sql文件。大批量数据时，建议先把数据分批写入，以免一次性提交导致锁表时间过长。迁移结束后别忘了在新库上运行 VACUUM，回收空间并整理索引，让性能更佳。"
Paragraph5: large tables, indexes.
Paragraph5 draft (~230 chars):
"当遇到几百兆甚至上千兆的大表时，直接导入可能会很慢。此时可以考虑先关闭索引和外键约束，等所有数据写入完成后再逐个重建索引，这样能把写入速度提升数倍。另外，使用 WAL模式可以让读写并发更顺畅，尤其在写入密集的场景下效果显著。迁移前把旧库的统计信息收集起来，迁移后再对比查询计划，确保新库的响应时间没有退步。"
Paragraph6: testing and verification.
Paragraph6 draft (~230 chars):
"迁移后最关键的一步是验证数据是否完整无误。可以通过比对行数、校验关键字段的唯一性以及执行校验和（如CRC32）来检查数据的一致性。写一段小脚本遍历旧库和新库的对应表，确保每行记录的主要字段值相同。若发现差异，要快速定位是导入过程漏掉的记录，还是约束导致的过滤，然后补数据或调整迁移脚本。"
Paragraph7: final steps and wrap up.
Paragraph7 draft (~230 chars):
"一步是把迁移方案落地到实际的业务系统。更新数据库连接字符串，让应用指向新库，并监控首批查询的响应时间，确保没有明显瓶颈。若发现性能问题，可根据实际情况调优索引或调整PRAGMA设置。整个迁移过程若做好备份、校验和逐步推进，就能像换衣服一样轻松完成升级。记住，迁移不是一次性大改动，而是一套可重复的流程，以后遇到类似需求时，只要套用这套步骤，就能做到无痛升级。"
Now we need to ensure each paragraph length between 150-250 characters. Let's approximate each paragraph length.
We can approximate characters count: Chinese characters roughly equal to number of characters typed. Let's count each paragraph manually roughly.
Paragraph1 characters count: Let's count roughly.
"SQLite数据库迁移常常让人担心会丢数据、花时间调试，但实际上只要掌握几招，就能实现无痛升级。本文以「从旧库到新库的无痛升级」为核心，手把手演示如何把现有的SQLite文件平滑迁移到新环境，让业务毫发不乱。我们会从准备工作、工具准备到实际操作提供全链路指引，让你在几分钟内完成迁移，而不必担心数据完整性问题。"
Let's count characters (including punctuation). I'll count words:
SQLite (6) + 数据库 (3) =9, 迁移 (2)=11, 常常 (2)=13, 让人 (2)=15, 担心 (2)=17, 会 (1)=18, 丢 (1)=19, 数据 (2)=21, 、 (punct) maybe count as 1? but let's just approximate total length. This is tedious.
Better to trust that each paragraph is around 200-250 characters. Need to ensure not too short (<150). Let's quickly approximate length by counting words: each Chinese sentence roughly 20-30 characters. Paragraph1 has about 6-7 sentences, likely >200 characters.
Paragraph2: similar length.
Thus total maybe around 1500 characters.
Now ensure no AI words: avoid "、总的来说、值得关注、需要注意的是" etc. I used ""? Not used. I used "最直接的办法是"? That's okay. I used "最关键的一步"? okay. I used "最终"? not used. I used "一步"? That's okay, but "" is okay? It's not prohibited; only "" maybe not prohibited but they said "总
