diff --git a/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md b/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
index 675c870b7..f3350e476 100644
--- a/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
@@ -4300,26 +4300,173 @@ Output series:
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
+### 6.6 Pattern\_match
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+#### Registration statement
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. Data Repairing
 
diff --git a/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md b/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
index 21151b7f0..8c38e926f 100644
--- a/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
@@ -4359,27 +4359,173 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### 6.6 Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. Data Repairing
 
diff --git a/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md b/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
index 8bab853b8..7c19ffe53 100644
--- a/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
@@ -4302,27 +4302,172 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
 
--->
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
 ## Data Repairing
 
diff --git a/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md b/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
index d4ee30c76..5de24d402 100644
--- a/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
@@ -4361,27 +4361,172 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
 
--->
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
 ## Data Repairing
 
diff --git a/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md b/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
index 8bab853b8..455c541f6 100644
--- a/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
@@ -4302,27 +4302,173 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## Data Repairing
 
diff --git a/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md b/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
index d4ee30c76..5de24d402 100644
--- a/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
@@ -4361,27 +4361,172 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
 
--->
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
 ## Data Repairing
 
diff --git a/src/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md b/src/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
index 675c870b7..f3350e476 100644
--- a/src/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
@@ -4300,26 +4300,173 @@ Output series:
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
+### 6.6 Pattern\_match
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+#### Registration statement
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. Data Repairing
 
diff --git a/src/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md b/src/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
index 21151b7f0..8c38e926f 100644
--- a/src/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
@@ -4359,27 +4359,173 @@ Output series:
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### 6.6 Pattern\_match
 
-<!--
+#### Registration statement
 
-​    Licensed to the Apache Software Foundation (ASF) under one
-​    or more contributor license agreements.  See the NOTICE file
-​    distributed with this work for additional information
-​    regarding copyright ownership.  The ASF licenses this file
-​    to you under the Apache License, Version 2.0 (the
-​    "License"); you may not use this file except in compliance
-​    with the License.  You may obtain a copy of the License at
-​    
-​        http://www.apache.org/licenses/LICENSE-2.0
-​    
-​    Unless required by applicable law or agreed to in writing,
-​    software distributed under the License is distributed on an
-​    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-​    KIND, either express or implied.  See the License for the
-​    specific language governing permissions and limitations
-​    under the License.
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### Usage
+
+This function performs pattern matching between an input time series and a predefined pattern. A match is considered successful if the similarity measure (distance) is less than or equal to a specified threshold. The results are output as a JSON list.
+
+​**Name**​: PATTERN\_MATCH
+
+**Input**​​**​ Series**​: Only support a single input series. The type is INT32 / INT64 / FLOAT / DOUBLE/ BOOLEAN
+
+​**Parameter**​:
+
+* `timePattern` : A comma-separated string of timestamps (e.g., `"t1,t2,t3"`). Length must be ​**greater than 1**​. Required.
+* `valuePattern `: A comma-separated string of numerical values corresponding to `timePattern`. Length must **match ​**`timePattern` and be greater than 1.  Required.
+
+> For boolean values: Use `1` for `true` and `0` for `false`.
+
+* `theshold`: Float-type similarity threshold.  Required.
+
+**Output**​​**​ Series**​: A JSON list containing all successfully matched segments. Each entry includes: start timestamp `startTime`, end timestamp `endTime`, calculated similarity value `distance`.
+
+#### Example
+
+1. Linear Data
+
+Input series:
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. Boolean Data
+
+Input series:
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V-shaped Data
+
+Input series:
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+Output series:
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. Multiple Matching Pattern
+
+Input series:
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+SQL for query:
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+Output series:
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. Data Repairing
 
diff --git a/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md b/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
index 096fd4c16..b3dc1baf2 100644
--- a/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_apache.md
@@ -4416,26 +4416,172 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
+### 6.6 Pattern\_match
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. 数据修复
 
diff --git a/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md b/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
index 42756d5e2..45db353e3 100644
--- a/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/zh/UserGuide/Master/Tree/SQL-Manual/UDF-Libraries_timecho.md
@@ -4403,26 +4403,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
+### 6.6 Pattern\_match
+
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1 。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. 数据修复
 
diff --git a/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md b/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
index b35e35e1a..b9dcdba02 100644
--- a/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_apache.md
@@ -4416,26 +4416,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
+### Pattern\_match
+
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
 
--->
 
 ## 数据修复
 
diff --git a/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md b/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
index e9d71a727..1f70c6ae7 100644
--- a/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/zh/UserGuide/V1.3.x/SQL-Manual/UDF-Libraries_timecho.md
@@ -4402,27 +4402,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### 6.6 Pattern\_match
 
-<!--
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
 
--->
 
 ## 数据修复
 
diff --git a/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md b/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
index b35e35e1a..b5bb592a0 100644
--- a/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_apache.md
@@ -4415,27 +4415,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### 6.6 Pattern\_match
 
-<!--
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
 
--->
 
 ## 数据修复
 
diff --git a/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md b/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
index e9d71a727..1f70c6ae7 100644
--- a/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/zh/UserGuide/dev-1.3/SQL-Manual/UDF-Libraries_timecho.md
@@ -4402,27 +4402,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 |1970-01-01T08:00:00.009+08:00|                                    6.0|
 +-----------------------------+---------------------------------------+
 ```
+### 6.6 Pattern\_match
 
-<!--
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
 
--->
 
 ## 数据修复
 
diff --git a/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md b/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
index 096fd4c16..b3dc1baf2 100644
--- a/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
+++ b/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_apache.md
@@ -4416,26 +4416,172 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
+### 6.6 Pattern\_match
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. 数据修复
 
diff --git a/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md b/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
index 42756d5e2..45db353e3 100644
--- a/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
+++ b/src/zh/UserGuide/latest/SQL-Manual/UDF-Libraries_timecho.md
@@ -4403,26 +4403,173 @@ select xcorr(s1, s2) from root.test.d1 where time <= 2020-01-01 00:00:05
 +-----------------------------+---------------------------------------+
 ```
 
-<!--
 
-    Licensed to the Apache Software Foundation (ASF) under one
-    or more contributor license agreements.  See the NOTICE file
-    distributed with this work for additional information
-    regarding copyright ownership.  The ASF licenses this file
-    to you under the Apache License, Version 2.0 (the
-    "License"); you may not use this file except in compliance
-    with the License.  You may obtain a copy of the License at
-    
-        http://www.apache.org/licenses/LICENSE-2.0
-    
-    Unless required by applicable law or agreed to in writing,
-    software distributed under the License is distributed on an
-    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, either express or implied.  See the License for the
-    specific language governing permissions and limitations
-    under the License.
+### 6.6 Pattern\_match
+
+#### 注册语句
+
+```SQL
+create function pattern_match as 'org.apache.iotdb.library.match.UDAFPatternMatch'
+```
+
+#### 函数简介
+
+本函数用于对输入的某一条时间序列与预设的`pattern`进行模式匹配，当相似度小于等于某个预设阈值时判定为匹配成功，并将最终匹配结果以`json`列表的方式输出。
+
+**函数名：** PATTERN\_MATCH
+
+**输入序列：** 仅支持一个输入序列，类型为INT32，INT64，FLOAT，DOUBLE，BOOLEAN。
+
+**参数：**
+
+* `timePattern` ：以时间戳组成的字符串，以逗号分隔。长度必须大于1 。必填项。
+* `valuePattern `：以数字组成的字符串，以逗号分隔。数量与 `timePattern `相同，长度必须大于1。必填项。
+
+> 提示：布尔类型的`valuePattern `，需要用1,0来表示`true`和`false`。
+
+* `threshold` ：阈值。Float类型。必填项。
+
+**输出序列**：输出结果为包含所有成功匹配段落的起始时间戳`startTime`、终止时间戳`endTime`及相似度值`distance`的`json`列表。
+
+#### 使用示例
+1. 线性数据
+
+输入序列：
+
+```SQL
+IoTDB> select s0 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s0|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|          1.1|
+|1970-01-01T08:00:00.003+08:00|          1.2|
+|1970-01-01T08:00:00.004+08:00|          1.3|
+|1970-01-01T08:00:00.005+08:00|          0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+
+|                                                                                      match_result|
++--------------------------------------------------------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|
++--------------------------------------------------------------------------------------------------+
+```
+
+2. 布尔类型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s1 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s1|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|         true|
+|1970-01-01T08:00:00.002+08:00|         true|
+|1970-01-01T08:00:00.003+08:00|         true|
+|1970-01-01T08:00:00.004+08:00|        false|
+|1970-01-01T08:00:00.005+08:00|        false|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1", "threshold"="0.5") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++-------------------------------------------------+
+|                                     match_result|
++-------------------------------------------------+
+|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++-------------------------------------------------+
+```
+
+3. V型数据
+
+输入序列：
+
+```SQL
+IoTDB> select s2 from root.**
++-----------------------------+-------------+
+|                         Time|root.db.d0.s2|
++-----------------------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|
+|1970-01-01T08:00:00.002+08:00|         -1.0|
+|1970-01-01T08:00:00.003+08:00|         -2.0|
+|1970-01-01T08:00:00.004+08:00|         -3.0|
+|1970-01-01T08:00:00.005+08:00|         -2.0|
+|1970-01-01T08:00:00.006+08:00|         -1.0|
+|1970-01-01T08:00:00.007+08:00|         -0.0|
+|1970-01-01T08:00:00.008+08:00|         -0.0|
+|1970-01-01T08:00:00.009+08:00|         -0.0|
+|1970-01-01T08:00:00.010+08:00|         -0.0|
++-----------------------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s2, "timePattern"="1,2,3,4,5,6,7", "valuePattern"="0.0,-1.0,-2.0,-3.0,-2.0,-1.0,-0.0", "threshold"="10") as match_result from root.db.d0
+```
+
+输出序列：
+
+```SQL
++----------------------------------------------+
+|                                  match_result|
++----------------------------------------------+
+|[{"distance":0.53,"startTime":1,"endTime":10}]|
++----------------------------------------------+
+```
+
+4. 多个匹配模式
+
+输入序列：
+
+```SQL
+IoTDB> select s0,s1 from root.**
++-----------------------------+-------------+-------------+
+|                         Time|root.db.d0.s0|root.db.d0.s1|
++-----------------------------+-------------+-------------+
+|1970-01-01T08:00:00.001+08:00|          0.0|         true|
+|1970-01-01T08:00:00.002+08:00|          1.1|         true|
+|1970-01-01T08:00:00.003+08:00|          1.2|         true|
+|1970-01-01T08:00:00.004+08:00|          1.3|        false|
+|1970-01-01T08:00:00.005+08:00|          0.0|        false|
++-----------------------------+-------------+-------------+
+```
+
+用于查询的SQL语句：
+
+```SQL
+select pattern_match (s0, "timePattern"="1,2,3", "valuePattern"="1.1,1.2,1.3", "threshold"="0.5") as match_result1, pattern_match (s1, "timePattern"="1,2,3", "valuePattern"="1,1,1",
+ "threshold"="0.5") as match_result2 from root.db.d0
+```
+
+输出序列：
+
+```SQL
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|                                                                                     match_result1|                                    match_result2|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+|[{"distance":0.200000,"startTime":1,"endTime":3}, {"distance":0.000000,"startTime":2,"endTime":4}]|[{"distance":0.000000,"startTime":1,"endTime":3}]|
++--------------------------------------------------------------------------------------------------+-------------------------------------------------+
+```
 
--->
 
 ## 7. 数据修复