chore: update example for doc2

docs/user-guide/logs/pipeline-config.md

@@ -1024,15 +1024,16 @@ processors:
 
 transform:
   - field: input_str, ts
-    type: time
+    type: time, ms
+    index: timestamp
 ```
 
 Simply add a `version: 2` line at the top of the config file, and the pipeline engine will run the transform in combined mode:
 1. Process all written transform rules sequentially.
 2. Write all fields of the pipeline context to the final table.
 
 Note:
-- If the transform section is explicitly written, it must contain a time index field. Otherwise the time-index field will be inferred by the pipeline engine just like the auto-transform mode.
+- If the transform section is explicitly written, **it must contain a time index field**. Otherwise the time-index field will be inferred by the pipeline engine just like the auto-transform mode.
 - The transform process in the version 2 will consume the original field in the pipeline context, so you can't transform the same field twice.
 
 ## Dispatcher

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/logs/pipeline-config.md

@@ -1042,15 +1042,16 @@ processors:
 
 transform:
   - field: input_str, ts
-    type: time
+    type: time, ms
+    index: timestamp
 ```
 
 只需要在配置文件的开头加上 `version: 2`，pipeline 引擎就会以新的 transform 模式来处理数据：
 1. 顺序执行所有配置的 transform 规则。
 2. 将 pipeline 上下文中的所有字段保存到最终的结果表中
 
 注意：
-- 如果明确配置了 transform 规则，那么它必须要包含时间索引列。否则时间索引列会由 pipeline 引擎进行推导，该行为和 auto-transform 模式一致
+- 如果明确配置了 transform 规则，**那么它必须要包含时间索引列**。否则时间索引列会由 pipeline 引擎进行推导，该行为和 auto-transform 模式一致
 - 版本 2 中的 transform 规则执行会将原始字段从 pipeline 上下文中移除，故你无法在 transform 规则对同一个字段引用多次
 
 ## Dispatcher

i18n/zh/docusaurus-plugin-content-docs/version-0.15/user-guide/logs/pipeline-config.md

@@ -1038,15 +1038,16 @@ processors:
 
 transform:
   - field: input_str, ts
-    type: time
+    type: time, ms
+    index: timestamp
 ```
 
 只需要在配置文件的开头加上 `version: 2`，pipeline 引擎就会以新的 transform 模式来处理数据：
 1. 顺序执行所有配置的 transform 规则。
 2. 将 pipeline 上下文中的所有字段保存到最终的结果表中
 
 注意：
-- 如果明确配置了 transform 规则，那么它必须要包含时间索引列。否则时间索引列会由 pipeline 引擎进行推导，该行为和 auto-transform 模式一致
+- 如果明确配置了 transform 规则，**那么它必须要包含时间索引列**。否则时间索引列会由 pipeline 引擎进行推导，该行为和 auto-transform 模式一致
 - 版本 2 中的 transform 规则执行会将原始字段从 pipeline 上下文中移除，故你无法在 transform 规则对同一个字段引用多次
 
 ## Dispatcher

versioned_docs/version-0.15/user-guide/logs/pipeline-config.md

@@ -1020,15 +1020,16 @@ processors:
 
 transform:
   - field: input_str, ts
-    type: time
+    type: time, ms
+    index: timestamp
 ```
 
 Simply add a `version: 2` line at the top of the config file, and the pipeline engine will run the transform in combined mode:
 1. Process all written transform rules sequentially.
 2. Write all fields of the pipeline context to the final table.
 
 Note:
-- If the transform section is explicitly written, it must contain a time index field. Otherwise the time-index field will be inferred by the pipeline engine just like the auto-transform mode.
+- If the transform section is explicitly written, **it must contain a time index field**. Otherwise the time-index field will be inferred by the pipeline engine just like the auto-transform mode.
 - The transform process in the version 2 will consume the original field in the pipeline context, so you can't transform the same field twice.
 
 ## Dispatcher