@@ -12,50 +12,25 @@ To use DBeaver to manage TDengine, you need to prepare the following:
- Install DBeaver. DBeaver supports mainstream operating systems including Windows, macOS, and Linux. Please make sure you download and install the correct version (23.1.1+) and platform package. Please refer to the [official DBeaver documentation](https://github.com/dbeaver/dbeaver/wiki/Installation) for detailed installation steps.
- If you use an on-premises TDengine cluster, please make sure that TDengine and taosAdapter are deployed and running properly. For detailed information, please refer to the taosAdapter User Manual.
- If you use TDengine Cloud, please [register](https://cloud.tdengine.com/) for an account.
## Usage
### Use DBeaver to access on-premises TDengine cluster
## Use DBeaver to access on-premises TDengine cluster
1. Start the DBeaver application, click the button or menu item to choose **New Database Connection**, and then select **TDengine** in the **Timeseries** category.
2. Configure the TDengine connection by filling in the host address, port number, username, and password. If TDengine is deployed on the local machine, you are only required to fill in the username and password. The default username is root and the default password is taosdata. Click **Test Connection** to check whether the connection is workable. If you do not have the TDengine Java connector installed on the local machine, DBeaver will prompt you to download and install it.
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3. If the connection is successful, it will be displayed as shown in the following figure. If the connection fails, please check whether the TDengine service and taosAdapter are running correctly and whether the host address, port number, username, and password are correct.
4. Use DBeaver to select databases and tables and browse your data stored in TDengine.
5. You can also manipulate TDengine data by executing SQL commands.
### Use DBeaver to access TDengine Cloud
1. Log in to the TDengine Cloud service, select **Programming** > **Java** in the management console, and then copy the string value of `TDENGINE_JDBC_URL` displayed in the **Config** section.
2. Start the DBeaver application, click the button or menu item to choose **New Database Connection**, and then select **TDengine Cloud** in the **Timeseries** category.
3. Configure the TDengine Cloud connection by filling in the JDBC URL value. Click **Test Connection**. If you do not have the TDengine Java connector installed on the local machine, DBeaver will prompt you to download and install it. If the connection is successful, it will be displayed as shown in the following figure. If the connection fails, please check whether the TDengine Cloud service is running properly and whether the JDBC URL is correct.
4. Use DBeaver to select databases and tables and browse your data stored in TDengine Cloud.
5. You can also manipulate TDengine Cloud data by executing SQL commands.
tdLog.info("warning: the diff for performance after spliting is over 20%")
returnTrue
# init
definit(self,conn,logSql,replicaVar=1):
seed=time.clock_gettime(time.CLOCK_REALTIME)
random.seed(seed)
self.replicaVar=int(replicaVar)
tdLog.debug(f"start to excute {__file__}")
tdSql.init(conn.cursor(),True)
# check time macro
defqueryBasic(self):
# check count
expectVal=self.childCnt*self.childRow
sql=f"select count(ts) from st "
self.checkExpect(sql,expectVal)
# check diff
sql=f"select count(*) from (select diff(ts) as dif from st order by ts)"
self.checkExpect(sql,expectVal-1)
# check ts order count
sql=f"select count(*) from (select diff(ts) as dif from st order by ts) where dif!=1"
self.checkExpect(sql,0)
# check ts1 order count
sql=f"select count(*) from (select diff(ts1) as dif from st order by ts1) where dif!=1"
self.checkExpect(sql,0)
# check c3 order asc
sql=f"select count(*) from (select diff(c3) as dif from st order by c3) where dif!=1"
self.checkExpect(sql,0)
# check c3 order desc todo FIX
#sql = f"select count(*) from (select diff(c3) as dif from st order by c3 desc) where dif!=-1"
#self.checkExpect(sql, 0)
# advance
defqueryAdvance(self):
# interval order todo FIX
#sql = f"select _wstart,count(ts),max(c2),min(c2) from st interval(100u) sliding(50u) order by _wstart limit 10"
#tdSql.query(sql)
#tdSql.checkRows(10)
# simulate crash sql
sql=f"select _wstart,count(ts),max(c2),min(c2) from st interval(100a) sliding(10a) order by _wstart limit 10"
tdSql.query(sql)
tdSql.checkRows(10)
# extent
sql=f"select _wstart,count(ts),max(c2),min(c2) from st interval(100a) sliding(10a) order by _wstart desc limit 5"
tdSql.query(sql)
tdSql.checkRows(5)
# data correct checked
sql1="select sum(a),sum(b), max(c), min(d),sum(e) from (select _wstart,count(ts) as a,count(c2) as b ,max(c2) as c, min(c2) as d, sum(c2) as e from st interval(100a) sliding(100a) order by _wstart desc);"
sql2="select count(*) as a, count(c2) as b, max(c2) as c, min(c2) as d, sum(c2) as e from st;"
