This has nothing to do with the math.Pow function. Dividing two ints (1/13)
is not the same as dividing a float by an int (1.0/13). Replace your two
`fmt.Printf()` calls with
println(1 / 13)
println(1.0 / 13)
and observe the difference. The fact that both `math.Pow` arguments are of
type `f
On Fri, 2024-04-19 at 22:51 -0700, DrGo wrote:
> ```
> package main
>
> import (
> "fmt"
> "math"
> )
>
> func main() {
> fmt.Printf("%g\n", 1-(math.Pow(0.6, 1/13))) //result=0
> fmt.Printf("%g\n", 1-(math.Pow(0.6, 1.0/13))) //
> result=0.038532272011602364
> }
> ```
1/
```
package main
import (
"fmt"
"math"
)
func main() {
fmt.Printf("%g\n", 1-(math.Pow(0.6, 1/13))) //result=0
fmt.Printf("%g\n", 1-(math.Pow(0.6, 1.0/13))) // result=0.038532272011602364
}
```
https://go.dev/play/p/oIKGb_uyLb3
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As you state, the driver (and db) need to support this. The synchronization for something like this is internal. But, if the operations are modifying the same tables you may end up with serialized operations anyway in order to ensure consistency while avoiding deadlocks. On Apr 20, 2024, at 12:11 A
Does any solution exist for this problem?
I'm facing similar problem, want to run bunch of queries inside a
transaction,
but want to run them concurrently, as running sequential is taking more
than 1 second.
On Friday, June 29, 2018 at 6:32:40 PM UTC+5:30 Space A. wrote:
> Hi,
>
> DB in common
