你好，

我们需要跟踪数据库随时间的变化-如果可能的话，跟踪到SQL粒度级别。例如：用户xyz运行例程^ abc，我们得到类似于更改日志的信息，该日志告诉我们：表A的值已更新，插入，更新等。

是否可以使用IRIS级别的工具（审计日志，Journal文件等），将日志的全局集和终止数转换为SQL级别更改？

我还找到了一个名为Liquibase的第三方基于Java的工具，但它似乎更适合于跟踪基于架构和表的更改或预定义的定义。

谢谢，

詹姆士

Tracking DAT / Database Changes Over Time, Similar to SQL ChangeLog

Hello,

We have a need to track Database changes over time - down to the SQL level of granularity if possible. Such as: User xyz runs routine ^abc and we get something similar to a changelog that tells us: table A had this value updated, insert, update etc....

Is that possible using IRIS level tools (Audit Log, Journal File, etc...) , is there a way to convert the global sets and kills from the journals into SQL level changes?

I also found a third-party java-based tool named Liquibase , but it seems more oriented to tracking schema and table based changes or pre-defined definitions.