how to read several collection more quickly

[adryen31]

Dear,

I have a catalog with approximately 61000 link as rel 'child'

I search a mean to parse and compute it more quickly,

Here my code:
satellites = catalog.get_collections() for satellite in satellites: elapsed_time = 0 satellite_to_add.append(convert_to_satellite(satellite, None)) elapsed_time += time.time() - start_time print("elapsed_time to fetch: " + str(elapsed_time))

But I saw that for process 65K, it took 49 minutes. I search a mean to increase the speed of process, I think is the time that the 'for' fetch the next data of satellite (because my process in convert_to_satellite is not reprensentative, only 10 lines on mapping json attribute).

Do you know a mean to process quickly, for example the api with get_collection() fetch more than one data satellite ?
I doubt that the api will make a new HTTP request every iteration. Does it work like this? I’m in doubt. If not, do you know a good method?

have a nice day
Adrien

[gadomski]

It's a bit tricky to tell what's going on here, but in general if you're searching a STAC API you should be using pystac-client. Can you provide a code snippet showing all of what you're doing? You can format your code snippit like this:

```python
from pystac_client import Client

client = Client.open("http://my.great.stac.api/v1")
client.search(...)
```

Thanks!