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The following commit(s) were added to refs/heads/docs/dev by this push:
     new ab38d5ae Fix 404 incorrect links (#479)
ab38d5ae is described below

commit ab38d5aef005296d759de84bf48346b26be8fee9
Author: W1y1r <[email protected]>
AuthorDate: Sun Apr 27 17:53:35 2025 +0800

    Fix 404 incorrect links (#479)
---
 .../Flink-TsFile.md                                |   0
 .../Hive-TsFile.md                                 |   0
 .../Spark-TsFile.md                                |   0
 .../Flink-TsFile.md                                |   0
 .../Hive-TsFile.md                                 |   0
 .../Spark-TsFile.md                                |   0
 .../v1.x/Ecosystem Integration/Hive-TsFile.md      | 170 ---------------------
 .../Flink-TsFile.md                                |   0
 .../Ecosystem-Integration}/Hive-TsFile.md          |   0
 .../Spark-TsFile.md                                |   0
 .../Flink-TsFile.md                                |   0
 .../Hive-TsFile.md                                 |   0
 .../Spark-TsFile.md                                |   0
 .../Flink-TsFile.md                                |   0
 .../Hive-TsFile.md                                 |   0
 .../Spark-TsFile.md                                |   0
 .../Flink-TsFile.md                                |   0
 .../Hive-TsFile.md                                 |   0
 .../Spark-TsFile.md                                |   0
 19 files changed, 170 deletions(-)

diff --git a/src/UserGuide/develop/Ecosystem Integration/Flink-TsFile.md 
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diff --git a/src/UserGuide/develop/Ecosystem Integration/Hive-TsFile.md 
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diff --git a/src/UserGuide/develop/Ecosystem Integration/Spark-TsFile.md 
b/src/UserGuide/develop/Ecosystem-Integration/Spark-TsFile.md
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diff --git a/src/UserGuide/latest/Ecosystem Integration/Flink-TsFile.md 
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diff --git a/src/UserGuide/latest/Ecosystem Integration/Hive-TsFile.md 
b/src/UserGuide/latest/Ecosystem-Integration/Hive-TsFile.md
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diff --git a/src/UserGuide/latest/Ecosystem Integration/Spark-TsFile.md 
b/src/UserGuide/latest/Ecosystem-Integration/Spark-TsFile.md
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diff --git a/src/UserGuide/v1.x/Ecosystem Integration/Hive-TsFile.md 
b/src/UserGuide/v1.x/Ecosystem Integration/Hive-TsFile.md
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--- a/src/UserGuide/v1.x/Ecosystem Integration/Hive-TsFile.md   
+++ /dev/null
@@ -1,170 +0,0 @@
-<!--
-
-    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.
-
--->
-# Apache Hive(TsFile)
-
-## 1. About Hive-TsFile-Connector
-
-Hive-TsFile-Connector implements the support of Hive for external data sources 
of Tsfile type. This enables users to operate TsFile by Hive.
-
-With this connector, you can
-
-* Load a single TsFile, from either the local file system or hdfs, into hive
-* Load all files in a specific directory, from either the local file system or 
hdfs, into hive
-* Query the tsfile through HQL.
-* As of now, the write operation is not supported in hive-connector. So, 
insert operation in HQL is not allowed while operating tsfile through hive.
-
-## 2. System Requirements
-
-|Hadoop Version |Hive Version | Java Version | TsFile |
-|-------------  |------------ | ------------ |------------ |
-| `2.7.3` or `3.2.1`       |    `2.3.6` or `3.1.2`  | `1.8`        | `1.0.0`|
-
-> Note: For more information about how to download and use TsFile, please see 
the following link: https://github.com/apache/iotdb/tree/master/tsfile.
-
-## 3. Data Type Correspondence
-
-| TsFile data type | Hive field type |
-| ---------------- | --------------- |
-| BOOLEAN          | Boolean         |
-| INT32            | INT             |
-| INT64           | BIGINT          |
-| FLOAT           | Float           |
-| DOUBLE          | Double          |
-| TEXT            | STRING          |
-
-
-## 4. Add Dependency For Hive
-
-To use hive-connector in hive, we should add the hive-connector jar into hive.
-
-After downloading the code of iotdb-extra from 
<https://github.com/apache/iotdb-extra>, you can use the command of `mvn clean 
package -pl connectors/hive-connector -am -DskipTests -P 
get-jar-with-dependencies` to get a 
`hive-connector-X.X.X-SNAPSHOT-jar-with-dependencies.jar`.
-
-Then in hive, use the command of `add jar XXX` to add the dependency. For 
example:
-
-```
-hive> add jar 
/Users/hive/iotdb-extra/connectors/hive-connector/target/hive-connector-1.0.0-jar-with-dependencies.jar;
-
-Added 
[/Users/hive/iotdb-extra/connectors/hive-connector/target/hive-connector-1.0.0-jar-with-dependencies.jar]
 to class path
-Added resources: 
[/Users/hive/iotdb-extra/connectors/hive-connector/target/hive-connector-1.0.0-jar-with-dependencies.jar]
-```
-
-
-## 5. Create Tsfile-backed Hive tables
-
-To create a Tsfile-backed table, specify the `serde` as 
`org.apache.iotdb.hive.TsFileSerDe`, 
-specify the `inputformat` as `org.apache.iotdb.hive.TSFHiveInputFormat`, 
-and the `outputformat` as `org.apache.iotdb.hive.TSFHiveOutputFormat`.
-
-Also provide a schema which only contains two fields: `time_stamp` and 
`sensor_id` for the table. 
-`time_stamp` is the time value of the time series 
-and `sensor_id` is the sensor name to extract from the tsfile to hive such as 
`sensor_1`. 
-The name of the table can be any valid table names in hive.
-
-Also a location provided for hive-connector to pull the most current data for 
the table.
-
-The location should be a specific directory on your local file system or HDFS 
to set up Hadoop.
-If it is in your local file system, the location should look like 
`file:///data/data/sequence/root.baic2.WWS.leftfrontdoor/`
-
-Last, set the `device_id` in `TBLPROPERTIES` to the device name you want to 
analyze.
-
-For example:
-
-```
-CREATE EXTERNAL TABLE IF NOT EXISTS only_sensor_1(
-  time_stamp TIMESTAMP,
-  sensor_1 BIGINT)
-ROW FORMAT SERDE 'org.apache.iotdb.hive.TsFileSerDe'
-STORED AS
-  INPUTFORMAT 'org.apache.iotdb.hive.TSFHiveInputFormat'
-  OUTPUTFORMAT 'org.apache.iotdb.hive.TSFHiveOutputFormat'
-LOCATION '/data/data/sequence/root.baic2.WWS.leftfrontdoor/'
-TBLPROPERTIES ('device_id'='root.baic2.WWS.leftfrontdoor.plc1');
-```
-In this example, the data of `root.baic2.WWS.leftfrontdoor.plc1.sensor_1` is 
pulled from the directory of 
`/data/data/sequence/root.baic2.WWS.leftfrontdoor/`. 
-This table results in a description as below:
-
-```
-hive> describe only_sensor_1;
-OK
-time_stamp             timestamp               from deserializer
-sensor_1               bigint                  from deserializer
-Time taken: 0.053 seconds, Fetched: 2 row(s)
-```
-At this point, the Tsfile-backed table can be worked with in Hive like any 
other table.
-
-## 6. Query from TsFile-backed Hive tables
-
-Before we do any queries, we should set the `hive.input.format` in hive by 
executing the following command.
-
-```
-hive> set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
-```
-
-Now, we already have an external table named `only_sensor_1` in hive. 
-We can use any query operations through HQL to analyse it.
-
-For example:
-
-### 6.1 Select Clause Example
-
-```
-hive> select * from only_sensor_1 limit 10;
-OK
-1      1000000
-2      1000001
-3      1000002
-4      1000003
-5      1000004
-6      1000005
-7      1000006
-8      1000007
-9      1000008
-10     1000009
-Time taken: 1.464 seconds, Fetched: 10 row(s)
-```
-
-### 6.2 Aggregate Clause Example
-
-```
-hive> select count(*) from only_sensor_1;
-WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the 
future versions. Consider using a different execution engine (i.e. spark, tez) 
or using Hive 1.X releases.
-Query ID = jackietien_20191016202416_d1e3e233-d367-4453-b39a-2aac9327a3b6
-Total jobs = 1
-Launching Job 1 out of 1
-Number of reduce tasks determined at compile time: 1
-In order to change the average load for a reducer (in bytes):
-  set hive.exec.reducers.bytes.per.reducer=<number>
-In order to limit the maximum number of reducers:
-  set hive.exec.reducers.max=<number>
-In order to set a constant number of reducers:
-  set mapreduce.job.reduces=<number>
-Job running in-process (local Hadoop)
-2019-10-16 20:24:18,305 Stage-1 map = 0%,  reduce = 0%
-2019-10-16 20:24:27,443 Stage-1 map = 100%,  reduce = 100%
-Ended Job = job_local867757288_0002
-MapReduce Jobs Launched:
-Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 SUCCESS
-Total MapReduce CPU Time Spent: 0 msec
-OK
-1000000
-Time taken: 11.334 seconds, Fetched: 1 row(s)
-```
-
diff --git a/src/UserGuide/v1.x/Ecosystem Integration/Flink-TsFile.md 
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diff --git a/src/zh/UserGuide/latest/Ecosystem Integration/Flink-TsFile.md 
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diff --git a/src/zh/UserGuide/latest/Ecosystem Integration/Spark-TsFile.md 
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b/src/zh/UserGuide/v1.x/Ecosystem-Integration/Spark-TsFile.md
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rename from src/zh/UserGuide/v1.x/Ecosystem Integration/Spark-TsFile.md
rename to src/zh/UserGuide/v1.x/Ecosystem-Integration/Spark-TsFile.md

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