In InfluxDB 2.0, _measurement is a concept used to organize and group data in the database. It refers to the name of a particular set of time-series data that has been collected and stored in the database.
For example, if you are collecting temperature data from multiple sensors at different locations, you might choose to use a different measurement name for each location. This would allow you to easily query and analyze the data by location.
InfluxDB 2.0 also allows for tags and fields within each measurement. Tags are key-value pairs that provide metadata about the measurement, such as sensor type or location name. Fields contain actual measurements, such as temperature values or humidity readings.
Overall, _measurement plays an important role in organizing and structuring time-series data in InfluxDB 2.0, making it easier to manage and analyze large amounts of data over time.
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
