We need to produce a full article content (no title), 6-8 paragraphs, each 150-250 characters? Actually 150-250 words? The user says "每段150-250字" which likely means characters? Chinese says "字" meaning characters? Usually Chinese paragraphs 150-250 words (characters) perhaps. We'll aim for about 180 Chinese characters per paragraph. Need 6-8 paragraphs, total must be >=1500 characters, and at least 1050 characters. We need to meet 1500 characters minimum. If each paragraph 180 characters, 8 paragraphs => 1440, need at least 1500, so need maybe 9 paragraphs or longer paragraphs. They require 6-8 paragraphs, each 150-250 characters. So max total could be 8250=2000 characters, min total 6150=900. But they also require "字数要求：必须写满1500字，不能少于1050字！" So we need at least 1500 characters, but also each paragraph 150-250 characters, and 6-8 paragraphs. So we need to produce maybe 7 paragraphs of about 215 characters each => 1505 characters. That fits. Let's aim for 7 paragraphs, each around 215-220 characters.
We must not include title, only body. Must be natural, human-like, avoid AI patterns. Use short sentences, active voice, no intro filler. Must not use "、". Must not use those words. Also avoid "让我们..." "。每次都怕漏掉哪条记录，怕时间卡顿。现在有了DBeaver，整个流程变得像聊天一样轻松。它把繁琐的迁移步骤压缩成几步操作，让你只要几分钟就能把库搬走。" Let's count characters: We'll count roughly. Chinese characters count each. Let's count: "以前迁移数据库，总要写脚本、调参数、盯着命令行等待。每次都怕漏掉哪条记录，怕时间卡顿。现在有了DBeaver，整个流程变得像聊天一样轻松。它把繁琐的迁移步骤压缩成几步操作，让你只要几分钟就能把库搬走。" That's maybe ~150 characters? Need 220. We'll expand.
Add more: "你不需要再琢磨复杂的SQL语法，也不必担心版本兼容。只要点几下鼠标，就能把数据从旧库搬到新库，甚至自动生成迁移报告。" Continue.
Let's write full paragraph about 220 characters.
I'll approximate length; final total must be >=1500 characters. Ensure each paragraph 150-250 characters. We'll try 200-230.
I'll write paragraphs and then count approximate characters.
"以前迁移数据库，总要写脚本、调参数、盯着命令行等待。每次都怕漏掉哪条记录，怕时间卡顿。现在有了DBeaver，整个流程变得像聊天一样轻松。它把繁琐的迁移步骤压缩成几步操作，让你只要几分钟就能把库搬走。你不需要再琢磨复杂的SQL语法，也不必担心版本兼容。只要点几下鼠标，就能把数据从旧库搬到新库，甚至自动生成迁移报告。"
Now count characters roughly: Let's count manually (including punctuation?). We'll approximate 200 maybe. Let's count characters (including Chinese characters and punctuation). I'll count words:
"以前迁移数据库" (6) + "，" (1) =7
"总要写脚本、调参数、盯着命令行等待。" let's count: "总要写脚本"4, "、"1=5, "调参数"2=7, "、"1=8, "盯着命令行等待"8? Actually "盯着命令行等待"6? Let's count: 盯1 着2 命3 令4 行5 等6 待7 => 7 characters, plus "。" =1 => total 8? Let's approximate overall maybe 120. Hard to be precise. But we need overall 1500 characters across whole article. We'll produce longer paragraphs.
Better to produce each paragraph about 230 characters, 7 paragraphs => 1610 characters.
I'll write more detailed paragraphs.
Paragraph 1 (approx 230 chars):
"以前迁移数据库，总要写脚本、调参数、盯着命令行等待。每次都怕漏掉哪条记录，怕时间卡顿。现在有了DBeaver，整个流程变得像聊天一样轻松。它把繁琐的迁移步骤压缩成几步操作，让你只要几分钟就能把库搬走。你不需要再琢磨复杂的SQL语法，也不必担心版本兼容。只要点几下鼠标，就能把数据从旧库搬到新库，甚至自动生成迁移报告。"
Now count approximate characters: Let's count quickly: I'll count each Chinese character and punctuation as one. Might be around 180-200. Let's approximate 190. Need 230. Add more: "你可以在图形界面里直接拖拽表、复制粘贴数据，甚至一键导出整个 schema。整个过程全程可视化，省掉了大量的手工操作。" Add those.
Now paragraph 1 longer.
Paragraph 2: Talk about connecting to source and target.
Paragraph 3: Export/import.
Paragraph 4: Schema mapping.
Paragraph 5: Testing.
Paragraph 6: Automation.
Paragraph 7: Conclusion.
We need to ensure each paragraph 150-250 characters.
Let's craft each paragraph with about 210-230 characters.
I'll write them and then approximate length.
"以前迁移数据库，总要写脚本、调参数、盯着命令行等待。每次都怕漏掉哪条记录，怕时间卡顿。现在有了DBeaver，整个流程变得像聊天一样轻松。它把繁琐的迁移步骤压缩成几步操作，让你只要几分钟就能把库搬走。你不需要再琢磨复杂的SQL语法，也不必担心版本兼容。只要点几下鼠标，就能把数据从旧库搬到新库，甚至自动生成迁移报告。你可以在图形界面里直接拖拽表、复制粘贴数据，甚至一键导出整个 schema。整个过程全程可视化，省掉了大量的手工操作。"
"第一步，打开DBeaver并新建连接。选择对应的数据库驱动，填好主机、端口、用户名和密码，点一下保存。随后，再新建一个连接指向目标库，同样配置好信息。两端准备好后，就可以把数据从源头搬到目的地。整个过程只需要几分钟，根本不需要打开终端敲命令。"
"接下来，利用DBeaver的导出功能把源库的表结构和数据一次性导出来。选中需要迁移的表，右键点击导出，选择 CSV 或 SQL 脚本。导出时可以勾选只导出数据或结构，甚至只导出指定列。把文件保存到本地后，再在目标库里导入，同样通过右键导入完成。整个过程全程可控，不会出现意外的截断。"
"迁移时常遇到的一个问题是字符编码和字段长度不匹配。DBeaver在导出时会自动识别字符集，但仍建议在目标库里检查并调整表结构。比如把 varchar(20) 改成 varchar(50)，或者把时间类型换成对应的时区。通过可视化的表编辑器，你可以直接在目标库里修改字段，确保迁移后的数据完全兼容。"
"迁移完成后，不能光看表格里有没有数据，还要检查数据完整性。DBeaver自带的数据比较工具可以把源库和目标库的同一张表逐行对比，标记出差异。你可以通过导出对比报告，快速定位漏记或多记的情况。如果发现差异，只需要在对应表上迁移一次，整个校验过程只需几分钟。"
"如果要迁移多个库，或者需要定期同步，DBeaver的脚本功能可以帮你批量操作。把迁移步骤写成一个
