docs: change location to align with taosbenchmark

docs/en/05-get-started/01-docker.md

@@ -52,7 +52,7 @@ Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) i
 taosBenchmark
 ```
 
-This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to 10 and a `location` tag of either `Campbell`, `Cupertino`, `Los Angeles`, `Mountain View`, `Palo Alto`, `San Diego`, `San Francisco`, `San Jose`, `Santa Clara` or `Sunnyvale`.
+This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to 10 and a `location` tag of either `California.Campbell`, `California.Cupertino`, `California.LosAngeles`, `California.MountainView`, `California.PaloAlto`, `California.SanDiego`, `California.SanFrancisco`, `California.SanJose`, `California.SantaClara` or `California.Sunnyvale`.
 
 The `taosBenchmark` command creates a deployment with 100 million data points that you can use for testing purposes. The time required to create the deployment depends on your hardware. On most modern servers, the deployment is created in ten to twenty seconds.
 
@@ -74,10 +74,10 @@ Query the average, maximum, and minimum values of all 100 million rows of data:
 SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
 ```
 
-Query the number of rows whose `location` tag is `San Francisco`:
+Query the number of rows whose `location` tag is `California.SanFrancisco`:
 
 ```sql
-SELECT COUNT(*) FROM test.meters WHERE location = "San Francisco";
+SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";
 ```
 
 Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:

docs/en/05-get-started/03-package.md

@@ -221,7 +221,7 @@ Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) i
 taosBenchmark
 ```
 
-This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to 10 and a `location` tag of either `Campbell`, `Cupertino`, `Los Angeles`, `Mountain View`, `Palo Alto`, `San Diego`, `San Francisco`, `San Jose`, `Santa Clara` or `Sunnyvale`.
+This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to 10 and a `location` tag of either `California.Campbell`, `California.Cupertino`, `California.LosAngeles`, `California.MountainView`, `California.PaloAlto`, `California.SanDiego`, `California.SanFrancisco`, `California.SanJose`, `California.SantaClara` or `California.Sunnyvale`.
 
 The `taosBenchmark` command creates a deployment with 100 million data points that you can use for testing purposes. The time required to create the deployment depends on your hardware. On most modern servers, the deployment is created in ten to twenty seconds.
 
@@ -243,10 +243,10 @@ Query the average, maximum, and minimum values of all 100 million rows of data:
 SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
 ```
 
-Query the number of rows whose `location` tag is `San Francisco`:
+Query the number of rows whose `location` tag is `California.SanFrancisco`:
 
 ```sql
-SELECT COUNT(*) FROM test.meters WHERE location = "San Francisco";
+SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";
 ```
 
 Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:

docs/en/14-reference/03-connector/06-rust.mdx

@@ -155,15 +155,15 @@ async fn demo(taos: &Taos, db: &str) -> Result<(), Error> {
     let inserted = taos.exec_many([
         // create super table
         "CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT, `phase` FLOAT) \
-         TAGS (`groupid` INT, `location` BINARY(16))",
+         TAGS (`groupid` INT, `location` BINARY(24))",
         // create child table
-        "CREATE TABLE `d0` USING `meters` TAGS(0, 'Los Angles')",
+        "CREATE TABLE `d0` USING `meters` TAGS(0, 'California.LosAngles')",
         // insert into child table
         "INSERT INTO `d0` values(now - 10s, 10, 116, 0.32)",
         // insert with NULL values
         "INSERT INTO `d0` values(now - 8s, NULL, NULL, NULL)",
         // insert and automatically create table with tags if not exists
-        "INSERT INTO `d1` USING `meters` TAGS(1, 'San Francisco') values(now - 9s, 10.1, 119, 0.33)",
+        "INSERT INTO `d1` USING `meters` TAGS(1, 'California.SanFrancisco') values(now - 9s, 10.1, 119, 0.33)",
         // insert many records in a single sql
         "INSERT INTO `d1` values (now-8s, 10, 120, 0.33) (now - 6s, 10, 119, 0.34) (now - 4s, 11.2, 118, 0.322)",
     ]).await?;

docs/examples/java/src/main/java/com/taos/example/SubscribeDemo.java

@@ -38,12 +38,12 @@ public class SubscribeDemo {
                 statement.executeUpdate("create database " + DB_NAME);
                 statement.executeUpdate("use " + DB_NAME);
                 statement.executeUpdate(
-                        "CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT) TAGS (`groupid` INT, `location` BINARY(16))");
-                statement.executeUpdate("CREATE TABLE `d0` USING `meters` TAGS(0, 'Los Angles')");
+                        "CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT) TAGS (`groupid` INT, `location` BINARY(24))");
+                statement.executeUpdate("CREATE TABLE `d0` USING `meters` TAGS(0, 'California.LosAngles')");
                 statement.executeUpdate("INSERT INTO `d0` values(now - 10s, 0.32, 116)");
                 statement.executeUpdate("INSERT INTO `d0` values(now - 8s, NULL, NULL)");
                 statement.executeUpdate(
-                        "INSERT INTO `d1` USING `meters` TAGS(1, 'San Francisco') values(now - 9s, 10.1, 119)");
+                        "INSERT INTO `d1` USING `meters` TAGS(1, 'California.SanFrancisco') values(now - 9s, 10.1, 119)");
                 statement.executeUpdate(
                         "INSERT INTO `d1` values (now-8s, 10, 120) (now - 6s, 10, 119) (now - 4s, 11.2, 118)");
                 // create topic

docs/examples/java/src/main/java/com/taos/example/highvolume/MockDataSource.java

@@ -16,7 +16,7 @@ class MockDataSource implements Iterator {
     private int currentTbId = -1;
 
     // mock values
-    String[] location = {"LosAngeles", "SanDiego", "Hollywood", "Compton", "San Francisco"};
+    String[] location = {"California.LosAngeles", "California.SanDiego", "California.SanJose", "California.Campbell", "California.SanFrancisco"};
     float[] current = {8.8f, 10.7f, 9.9f, 8.9f, 9.4f};
     int[] voltage = {119, 116, 111, 113, 118};
     float[] phase = {0.32f, 0.34f, 0.33f, 0.329f, 0.141f};

docs/examples/python/mockdatasource.py

@@ -3,11 +3,11 @@ import time
 
 class MockDataSource:
     samples = [
-        "8.8,119,0.32,LosAngeles,0",
-        "10.7,116,0.34,SanDiego,1",
-        "9.9,111,0.33,Hollywood,2",
-        "8.9,113,0.329,Compton,3",
-        "9.4,118,0.141,San Francisco,4"
+        "8.8,119,0.32,California.LosAngeles,0",
+        "10.7,116,0.34,California.SanDiego,1",
+        "9.9,111,0.33,California.SanJose,2",
+        "8.9,113,0.329,California.Campbell,3",
+        "9.4,118,0.141,California.SanFrancisco,4"
     ]
 
     def __init__(self, tb_name_prefix, table_count):

docs/examples/rust/nativeexample/examples/stmt_example.rs

@@ -12,7 +12,7 @@ async fn main() -> anyhow::Result<()> {
     // bind table name and tags
     stmt.set_tbname_tags(
         "d1001",
-        &[Value::VarChar("San Fransico".into()), Value::Int(2)],
+        &[Value::VarChar("California.SanFransico".into()), Value::Int(2)],
     )?;
     // bind values.
     let values = vec![

docs/examples/rust/nativeexample/examples/subscribe_demo.rs

@@ -19,13 +19,13 @@ struct Record {
 async fn prepare(taos: Taos) -> anyhow::Result<()> {
     let inserted = taos.exec_many([
         // create child table
-        "CREATE TABLE `d0` USING `meters` TAGS(0, 'Los Angles')",
+        "CREATE TABLE `d0` USING `meters` TAGS(0, 'California.LosAngles')",
         // insert into child table
         "INSERT INTO `d0` values(now - 10s, 10, 116, 0.32)",
         // insert with NULL values
         "INSERT INTO `d0` values(now - 8s, NULL, NULL, NULL)",
         // insert and automatically create table with tags if not exists
-        "INSERT INTO `d1` USING `meters` TAGS(1, 'San Francisco') values(now - 9s, 10.1, 119, 0.33)",
+        "INSERT INTO `d1` USING `meters` TAGS(1, 'California.SanFrancisco') values(now - 9s, 10.1, 119, 0.33)",
         // insert many records in a single sql
         "INSERT INTO `d1` values (now-8s, 10, 120, 0.33) (now - 6s, 10, 119, 0.34) (now - 4s, 11.2, 118, 0.322)",
     ]).await?;
@@ -48,7 +48,7 @@ async fn main() -> anyhow::Result<()> {
         format!("CREATE DATABASE `{db}`"),
         format!("USE `{db}`"),
         // create super table
-        format!("CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT, `phase` FLOAT) TAGS (`groupid` INT, `location` BINARY(16))"),
+        format!("CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT, `phase` FLOAT) TAGS (`groupid` INT, `location` BINARY(24))"),
         // create topic for subscription
         format!("CREATE TOPIC tmq_meters with META AS DATABASE {db}")
     ])

docs/examples/rust/restexample/examples/insert_example.rs

@@ -14,14 +14,14 @@ async fn main() -> anyhow::Result<()> {
     ]).await?;
 
     let inserted = taos.exec("INSERT INTO 
-    power.d1001 USING power.meters TAGS('San Francisco', 2)
+    power.d1001 USING power.meters TAGS('California.SanFrancisco', 2)
      VALUES ('2018-10-03 14:38:05.000', 10.30000, 219, 0.31000) 
      ('2018-10-03 14:38:15.000', 12.60000, 218, 0.33000) ('2018-10-03 14:38:16.800', 12.30000, 221, 0.31000)
-    power.d1002 USING power.meters TAGS('San Francisco', 3)
+    power.d1002 USING power.meters TAGS('California.SanFrancisco', 3)
      VALUES ('2018-10-03 14:38:16.650', 10.30000, 218, 0.25000)
-    power.d1003 USING power.meters TAGS('Los Angeles', 2) 
+    power.d1003 USING power.meters TAGS('California.LosAngeles', 2) 
      VALUES ('2018-10-03 14:38:05.500', 11.80000, 221, 0.28000) ('2018-10-03 14:38:16.600', 13.40000, 223, 0.29000)
-    power.d1004 USING power.meters TAGS('Los Angeles', 3) 
+    power.d1004 USING power.meters TAGS('California.LosAngeles', 3) 
      VALUES ('2018-10-03 14:38:05.000', 10.80000, 223, 0.29000) ('2018-10-03 14:38:06.500', 11.50000, 221, 0.35000)").await?;
 
     assert_eq!(inserted, 8);

docs/zh/05-get-started/01-docker.md

@@ -52,7 +52,7 @@ taos>
 $ taosBenchmark
 ```
 
-该命令将在数据库 `test` 下面自动创建一张超级表 `meters`，该超级表下有 1 万张表，表名为 `d0` 到 `d9999`，每张表有 1 万条记录，每条记录有 `ts`、`current`、`voltage`、`phase` 四个字段，时间戳从 2017-07-14 10:40:00 000 到 2017-07-14 10:40:09 999，每张表带有标签 `location` 和 `groupId`，groupId 被设置为 1 到 10，location 被设置为 `Campbell`、`Cupertino`、`Los Angeles`、`Mountain View`、`Palo Alto`、`San Diego`、`San Francisco`、`San Jose`、`Santa Clara` 或者 `Sunnyvale`。
+该命令将在数据库 `test` 下面自动创建一张超级表 `meters`，该超级表下有 1 万张表，表名为 `d0` 到 `d9999`，每张表有 1 万条记录，每条记录有 `ts`、`current`、`voltage`、`phase` 四个字段，时间戳从 2017-07-14 10:40:00 000 到 2017-07-14 10:40:09 999，每张表带有标签 `location` 和 `groupId`，groupId 被设置为 1 到 10，location 被设置为 `California.Campbell`、`California.Cupertino`、`California.LosAngeles`、`California.MountainView`、`California.PaloAlto`、`California.SanDiego`、`California.SanFrancisco`、`California.SanJose`、`California.SantaClara` 或者 `California.Sunnyvale`。
 
 这条命令很快完成 1 亿条记录的插入。具体时间取决于硬件性能，即使在一台普通的 PC 服务器往往也仅需十几秒。
 
@@ -74,10 +74,10 @@ SELECT COUNT(*) FROM test.meters;
 SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
 ```
 
-查询 location = "San Francisco" 的记录总条数：
+查询 location = "California.SanFrancisco" 的记录总条数：
 
 ```sql
-SELECT COUNT(*) FROM test.meters WHERE location = "San Francisco";
+SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";
 ```
 
 查询 groupId = 10 的所有记录的平均值、最大值、最小值等：

docs/zh/05-get-started/03-package.md

@@ -223,7 +223,7 @@ Query OK, 2 row(s) in set (0.003128s)
 $ taosBenchmark
 ```
 
-该命令将在数据库 `test` 下面自动创建一张超级表 `meters`，该超级表下有 1 万张表，表名为 `d0` 到 `d9999`，每张表有 1 万条记录，每条记录有 `ts`、`current`、`voltage`、`phase` 四个字段，时间戳从 2017-07-14 10:40:00 000 到 2017-07-14 10:40:09 999，每张表带有标签 `location` 和 `groupId`，groupId 被设置为 1 到 10，location 被设置为 `Campbell`、`Cupertino`、`Los Angeles`、`Mountain View`、`Palo Alto`、`San Diego`、`San Francisco`、`San Jose`、`Santa Clara` 或者 `Sunnyvale`。
+该命令将在数据库 `test` 下面自动创建一张超级表 `meters`，该超级表下有 1 万张表，表名为 `d0` 到 `d9999`，每张表有 1 万条记录，每条记录有 `ts`、`current`、`voltage`、`phase` 四个字段，时间戳从 2017-07-14 10:40:00 000 到 2017-07-14 10:40:09 999，每张表带有标签 `location` 和 `groupId`，groupId 被设置为 1 到 10，location 被设置为 `California.Campbell`、`California.Cupertino`、`California.LosAngeles`、`California.MountainView`、`California.PaloAlto`、`California.SanDiego`、`California.SanFrancisco`、`California.SanJose`、`California.SantaClara` 或者 `California.Sunnyvale`。
 
 这条命令很快完成 1 亿条记录的插入。具体时间取决于硬件性能，即使在一台普通的 PC 服务器往往也仅需十几秒。
 
@@ -245,10 +245,10 @@ SELECT COUNT(*) FROM test.meters;
 SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
 ```
 
-查询 location = "San Francisco" 的记录总条数：
+查询 location = "California.SanFrancisco" 的记录总条数：
 
 ```sql
-SELECT COUNT(*) FROM test.meters WHERE location = "San Francisco";
+SELECT COUNT(*) FROM test.meters WHERE location = "Calaifornia.SanFrancisco";
 ```
 
 查询 groupId = 10 的所有记录的平均值、最大值、最小值等：

docs/zh/08-connector/06-rust.mdx

@@ -155,15 +155,15 @@ async fn demo(taos: &Taos, db: &str) -> Result<(), Error> {
     let inserted = taos.exec_many([
         // create super table
         "CREATE TABLE `meters` (`ts` TIMESTAMP, `current` FLOAT, `voltage` INT, `phase` FLOAT) \
-         TAGS (`groupid` INT, `location` BINARY(16))",
+         TAGS (`groupid` INT, `location` BINARY(24))",
         // create child table
-        "CREATE TABLE `d0` USING `meters` TAGS(0, 'Los Angles')",
+        "CREATE TABLE `d0` USING `meters` TAGS(0, 'California.LosAngles')",
         // insert into child table
         "INSERT INTO `d0` values(now - 10s, 10, 116, 0.32)",
         // insert with NULL values
         "INSERT INTO `d0` values(now - 8s, NULL, NULL, NULL)",
         // insert and automatically create table with tags if not exists
-        "INSERT INTO `d1` USING `meters` TAGS(1, 'San Francisco') values(now - 9s, 10.1, 119, 0.33)",
+        "INSERT INTO `d1` USING `meters` TAGS(1, 'California.SanFrancisco') values(now - 9s, 10.1, 119, 0.33)",
         // insert many records in a single sql
         "INSERT INTO `d1` values (now-8s, 10, 120, 0.33) (now - 6s, 10, 119, 0.34) (now - 4s, 11.2, 118, 0.322)",
     ]).await?;